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Supply Chain Solutions Industry - Leveraging Technology to Drive Growth and Sustainability11/17/2023 Supply chain solutions industry data book covers supply chain analytics, procurement as a service and vendor risk management market. Global supply chain solutions industry data book is a collection of market sizing information & forecasts, competitive benchmarking analyses, macro-environmental analyses, and regulatory & technological framework studies. Within the purview of the database, all such information is systematically analyzed and provided in the form of presentations and detailed outlook reports on individual areas of research. Access the Global Supply Chain Solutions Industry Data Book from 2023 to 2030, compiled with details by Grand View Research Supply Chain Analytics Market Insights The global supply chain analytics market size was estimated at USD 6.13 billion in 2022 and is anticipated to grow at a compound annual growth rate (CAGR) of 17.8% from 2023 to 2030. Supply chain analytics (SCA) is becoming popular as the demand for managing vast volumes of company data and its insights for strategic applications grows. As the demand for automation technologies and investment from technology developers increases, so does the demand for cognitive computing and AI. The growing awareness among businesses of the advantages of SCA in terms of improved visibility across the whole supply chain is fueling demand for analytics solutions. The increased availability of cloud-based SCA solutions has triggered their demand among small & medium enterprises (SMEs) owing to benefits such as easy deployment, shorter implementation window, effective use of IT resources, and flexibility & mobility offered by these solutions. Another notable trend in the market is the increased demand for risk analytics solutions across all industries. Risk analytics solutions address multiple issues associated with the supply chain by analyzing scenarios and sensitivity, stochastic optimization, and risk mitigation. The supply chain industry is evolving rapidly. Even in challenging circumstances, modern technology and tools such as blockchain and Artificial Intelligence (AI) generative tools can assist business owners to improve their supply chain cycle and compete better in the market. To rapidly discover problems and identify errors, several organizations use blockchain technology to consolidate all operations and data onto a single platform. For instance, in June 2023, International Business Machines Corporation partnered with Adobe, a computer software company, to provide brands with an improved content supply chain using the capabilities of next-generation AI. Adobe clients will benefit from a streamlined generative AI landscape due to the integration of Adobe's generative AI models with the comprehensive technical experience of IBM consulting services, including technology innovation, design, and strategy. Procurement as a Service Market Insights The global procurement as a service market size was valued at USD 6.15 billion in 2022 and is expected to register a growth of 11.1% from 2023 to 2030. The rise in demand for efficient inventory management and supply chain optimization to lower expenses and boost profitability from the business has contributed to market growth. Furthermore, the pandemic outbreak played a decisive role in driving the market's growth. By assisting small businesses in running their companies normally despite the COVID-19 pandemic, procurement as a service provider helped them keep up with the evolving trends in digital transformation. This is attributed to the demand for procurement as a service market during the forecast period. The emphasis on digital transformation has shifted to the cloud, where procurement service providers are updating their apps to be web-based. Cloud computing provides convenience and flexibility, which helps service providers reduce data storage costs, and these further support enhancing business operations and giving end markets specialized solutions. Along with the cloud, Artificial Intelligence (AI) is also gaining traction in the procurement service industry, delivering data analyses while increasing operations as a distinct competitive advantage. These features and benefits clubbed together create lucrative opportunities for industry incumbents to expand their customer base and bode well for market growth. Owing to the need to manage complex procurement contracts, the demand for procurement services is gaining traction among small and medium-sized businesses. Deals involving contracts require expertise and time to deliver; hence, procurement as a service is a popular choice among SMEs. These services help companies focus on core competencies while outsourcing time-consuming and intricate tasks. For instance, in October 2021, Accenture acquired Xoomworks Group, a procurement technology provider. Accenture's capacity to assist clients in accelerating technology-led business and procurement transformation increased through this acquisition. Accenture's Closed Loop Spend Management capabilities have been strengthened by the integration of Xoomworks Procurement, which aids clients with end-to-end changes that provide unparalleled insight across direct and indirect cost categories. Order your copy of the Free Sample of “Supply Chain Solutions Industry Data Book - Supply Chain Analytics, Procurement as a Service And Vendor Risk Management Market Size, Share, Trends Analysis, And Segment Forecasts, 2023 - 2030” Data Book, published by Grand View Research Vendor Risk Management Market insights The global vendor risk management market size was valued at USD 8.18 billion in 2022 and is expected to expand at a compound annual growth rate (CAGR) of 15.1% from 2023 to 2030. Enterprises have been outsourcing critical tasks to their vendors, which considerably brings benefits and risks. Many events such as the COVID-19 pandemic, the Colonial Pipeline attack, SolarWinds cyber-attack, and other ransomware breaches have further increased the scope of risks associated with vendors. Thus, enterprises are exceedingly opting for advanced vendor risk management solutions to identify, understand, mitigate, and reduce the impact of hazards. As a result, the global market is anticipated to progress significantly through the forecast period. The outbreak of the COVID-19 pandemic is likely to impact businesses drastically, stifling innovation, suppressing profitability, and drying up cash flow and financial reserves. The IT and software development industries have also faced challenges due to this unforeseen outbreak. A significant portion of global supply chains was disturbed due to the outburst of the pandemic, which also affected the market. Organizations from highly impacted industries such as manufacturing, BFSI, retail, and government showed less adoption of the solutions due to financial losses, interrupted business operations, and lack of visibility. However, healthcare, IT and telecom, and energy and utility industries, which presented some business opportunities amidst the pandemic, showed slight growth in vendor risk management solutions adoption. Thus, the global market is estimated to be moderately impacted by the COVID-19 crisis. According to statistics, nearly two-thirds of the security breaches originate from vendors and third-party suppliers. Breaches like cyber security threats, intrusion of ransomware, growing disinformation campaigns, and other data privacy concerns are engaging companies to opt for risk mitigation solutions, including vendor risk management, which drives the market. Moreover, managing multiple vendors' activities seems like a tedious job for several organizations across the world. As a result, the implementation of vendor risk management solutions allows them to evaluate risks associated with vendors, identify critical issues, and enhance production rate significantly. The key vendors in the global VRM market are focusing on introducing new solutions and services while upgrading their existing product portfolio to strengthen their foothold. For instance, in November 2017, LockPath, one of the solution providers, introduced its Keylight Platform with Security Scorecard's security rating platform. This product was aimed to support enterprises with practical vendor assessment and management while strengthening security programs. Thus, numerous developments in terms of new product launches, mergers & acquisitions, and partnerships are observed in this market, contributing to the market growth. Go through the table of content of Supply Chain Solutions Industry Data Book to get a better understanding of the Coverage & Scope of the study. Key players operating in the supply chain solutions industry are – • Genpact • Accenture • International Business Machines Corporation • HCL Technologies Ltd. • WNS (Holdings) Ltd. • Optive Security, Inc. • Infor • Kinaxis • JDA Software Group, Inc. • Aera Technology
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Global Wireless Fidelity (Wi-Fi) chipset industry data book is a collection of market sizing information & forecasts (2019-2030), key players competitive benchmarking analysis, government regulatory data, macro-environmental analysis, and technological framework studies. Within the purview of the database, all such information is systematically analyzed and provided in the form of presentations and detailed outlook reports on individual areas of research.
Wi-Fi 6 Chipset Market Insights The global Wireless Fidelity 6 market generated over USD 9.90 billion revenue in 2021 and is projected to expand at a CAGR of around 4.6% during the forecast period to reach USD 24.10 billion by 2030. The growth of this market can be attributed to the increasing demand for high-performance network connectivity that can allow multiple users to access the network simultaneously at a consistent bandwidth capacity. The Wireless Fidelity 6 market is expected to register a significant growth rate over the forecast period owing to the growing need for high bandwidth to mitigate network congestion due to heavy network load. Moreover, the growth is further influenced by the rapidly growing demand for modern devices such as smartphones, laptops, tablets, and routers with the supporting capability of new wireless frequency bands such as 2.4GHz, 5GHz, and 6GHz. Additionally, offering Basic Service Set (BSS) colouring features in WiFi 6 technology allows users to improve network reliability in a dense ecosystem by enabling frames from the neighbour’s network. These frames help to minimize interference from other networks and boost the network speed. As a result, these chips are expected to witness increased demand across residential, commercial, and industrial applications. Access the Global Wi-Fi Chipset Industry Data Book from 2023 to 2030, compiled with details by Grand View Research Wi-Fi Chipset 6E Market Insights The global Wireless Fidelity 6E market generated over USD 2.37 billion revenue in 2021 and is projected to expand at a CAGR of around 27% during the forecast period. The growth of smart homes and smart cities is driving demand for Wi-Fi 6E, which can support a large number of connected devices and enable new applications, such as virtual and Augmented Reality (AR), telepresence, and autonomous vehicles. Moreover, with the growing number of connected devices and data-intensive applications, there is a need for faster and more reliable connectivity. Wi-Fi 6E, which operates in the 6 GHz frequency band, offers more bandwidth and less interference, allowing for higher speeds and lower latency. The demand for higher internet speeds is a key driving force in the market. With the increasing number of connected devices and the rise of data-intensive applications, such as video streaming, online gaming, and virtual & augmented reality, consumers and businesses are demanding faster and more reliable internet speeds. Wi-Fi 6E, which operates in the 6 GHz frequency band and offers more bandwidth, is well-positioned to meet this demand. Wi-Fi 6E can provide faster speeds and lower latency than previous Wi-Fi standards, allowing users to stream high-quality video, play online games without lag, and access cloud-based applications more quickly and efficiently. With the increasing adoption of Wi-Fi 6E, users can expect to see significant improvements in their internet speeds, enabling new applications and services that rely on high-speed connectivity. Wi-Fi 6E is expected to be integrated with 5G networks, allowing for seamless connectivity and better user experience. The COVID-19 pandemic had a positive impact on the market. As Wi-Fi 6E becomes more prevalent, advancements in Wi-Fi 6E-enabled devices are expected to emerge, including smartphones, tablets, laptops, and other IoT devices. These advancements may include improved battery life, better connectivity, and enhanced features.Wi-Fi 6E is expected to see increased adoption in smart homes & buildings, where multiple devices need to connect to the network simultaneously. Wi-Fi 6E's improved capacity, speed, and range make it well-suited for such environments. Order your copy of the Free Sample of “Wi-Fi Chipset Industry Data Book - Wi-Fi 6, Wi-Fi 6E and Wi-Fi 7 Market Size, Share, Trends Analysis, And Segment Forecasts, 2023 - 2030” Data Book, published by Grand View Research Wi-Fi Chipset 7 Market insights The global Wireless Fidelity 7 market generated over USD 0.22 billion revenue in 2021 and is projected to expand at a CAGR of around 106.2% during the forecast. Wireless Fidelity 7 is a successor of WiFi. This is based on IEEE 802.11be standard. This is an upgrade in terms of Extremely High-Throughput (EHT) which will boost its video streaming speed and quality. With increasing demands for remote working, gaming, and video streaming, the consumer requires higher speed, stability, and connectivity. This can be used for connectivity purposes in smartphones, smart television, internet connectivity, wearable smart devices such as smartwatches, portable speakers, portable earphones, headphones, printers, intelligent refrigerators, intelligent washing machines, air conditioners, television remote, remote-operated systems, data transfer, smart charging of devices, connected automobile technology, and in the aviation industry. Apart from this, it can also be used to provide internet to various devices at a time. Qualcomm, Broadcomm, Intel Corporation, and MediaTek are key players in this sector. WiFi 7 chipset provides more flexibility as well as capabilities to organizations helping them in their digital transformation journey. In the forecasted period it is expected that Wi-Fi 7 and 5G will work together and will introduce the use of advanced technologies such as distributed & cloud architectures, digitalization, edge computing, virtualization in the private wireless networks. The Wireless Fidelity 7 compatibility will increase the speed of the internet up to 30 Gbps. It will also enhance the wireless audio quality and reduce the latency. The low latency factor would increase its application in portable speakers, earphones, AR (Augmented Reality) sets, and gaming consoles. The Wi-Fi 7 allows many devices to connect at once, which would help in better synchronization in industries. The faster data transfer and processing rate makes 8K video rendering less time-consuming. Various connected car manufacturers are also looking for this upgrade. The AI (Artificial Intelligence) that cars offer needs high-speed real-time data transfer for real-time traffic knowledge. Further, number of Wireless Fidelity chipset providers are launching Wi-Fi 7 chipset which is opportunistic for the market. For instance, Qualcomm, a smartphone processor manufacturer, has started working on its new processor, Fast-connect 7800, which would be the first to support the Wi-Fi 7. Go through the table of content of Wi-Fi Chipset Industry Data Book to get a better understanding of the Coverage & Scope of the study. Wi-Fi Chipset Industry Data Book Competitive Landscape The growing competition for the development of efficient and effective Wireless Fidelity 6 and Wireless Fidelity 6E chipsets are enabling the manufacturers to differentiate their products to stay competitive in the market. Moreover, in October 2021 MediaTek Inc. launched its products Filogic 830 WiFi 6/6E system-on-chip (SoC) and Filogic 630 WiFi 6E network interface card (NIC). This launch initiative will help the company serve its customers in the Wi-Fi 6 and Wi-Fi 6E chipset market. Key players operating in the Wi-Fi Chipset industry are – • Intel Corporation • Qualcomm Technologies, Inc. • Broadcom Inc • Celeno • Mediatek Inc. • Nxp Semiconductors N.V. • Cypress Semiconductor Corporation • On Semiconductor Connectivity Solutions, Inc. • STmicroelectronics N.V. • Texas Instruments Incorporated
Machine learning industry data book covers machine learning, deep learning, natural language processing markets. Global Machine Learning Industry data book is a collection of market sizing information & forecasts, competitive benchmarking analyses, macro-environmental analyses, and regulatory & technological framework studies. Within the purview of the database, all such information is systematically analyzed and provided in the form of presentations and detailed outlook reports on individual areas of research. Access the Global Machine Learning Industry Data Book from 2023 to 2030, compiled with details by Grand View Research Machine Learning Market Growth & Trends The global machine learning market size is anticipated to reach USD 419.94 billion by 2030, according to a new report by Grand View Research, Inc. The market is expected to expand at a CAGR of 34.8% from 2023 to 2030. The market is experiencing continuous growth, driven by the increasing demand for AI-driven solutions across industries. It is expected to expand further as more organizations recognize the potential of machine learning and invest in its applications. The growing deployment of Edge AI is responsible for market growth. Edge AI reduces the reliance on cloud computing and provides faster response times, improved privacy, and bandwidth efficiency. Numerous companies are using machine learning (ML) in various industries to boost productivity, streamline processes, and facilitate decision-making. ML is used for personalized product recommendations, demand forecasting, fraud detection, inventory management, and pricing optimization. For instance, Netflix, Inc., a U.S.-based media-streaming and video-rental company, uses machine learning to enhance the customer experience. The company has long been using machine learning algorithms to personalize its viewer recommendations. E-commerce firms like Amazon.com, Inc, a U.S.-based multinational technology company, also uses ML for recommendation to boost sales. Developments such as fine-tuned personalization, hyper-targeting, search engine optimization (SEO), no-code environments, self-learning bots, and others are expected to impact the machine-learning landscape significantly. These developments are responsible for the continuous evolution of machine learning applications, driven by the demand for personalized experiences, improved website rankings, efficient marketing strategies, accessibility, and intelligent automation. For instance, Google LLC has significantly advanced machine learning, specifically in computer vision. Google's research division, Google Research, has developed and deployed machine learning models such as the Inception series and the EfficientDet object detection model. These models have significantly enhanced the accuracy and performance of computer vision tasks, including image classification, object detection, and image segmentation. Order your copy of the Free Sample of “Machine Learning Industry Data Book - Machine Learning, Deep Learning, Natural Language Processing Market Size, Share, Trends Analysis, And Segment Forecasts, 2023 - 2030” Data Book, published by Grand View Research Deep Learning Market Growth & Trends The global deep learning market size is expected to reach USD 526.7 billion by 2030, expanding at a CAGR of 33.5% from 2023 to 2030, according to a new report by Grand View Research, Inc. Deep learning is expected to gain sustainable momentum in the coming years owing to its high computational ability and improved complex data-driven applications. The growing emphasis on big data analytics and the adoption of Artificial Intelligence (AI) in customer-centric services is expected to propel the growth of the deep learning industry over the forecast period. AI has evolved rapidly in recent years, enabling machines to perform cognitive tasks effectively. The adoption of AI across various sectors has unlocked numerous potential opportunities for machine learning and deep learning applications. Furthermore, AI-as-a-service such as virtual assistants has allowed smaller organizations to implement AI algorithms required for deep learning applications without a large capital investment. Moreover, the availability of a large amount of data and the need for high computing power encourage SMEs and large enterprises to invest significantly in deep learning technology. Deep learning allows the machine to solve complex problems even if the data is not well organized. A deep learning algorithm performs a task repeatedly, every time tweaking it to improve the outcomes. Thus, the more the task performed by the machines, the better will be the outcome. As a result, large amounts of unstructured data can be analyzed using deep learning algorithms and further deployed to obtain relevant insights for a more reliable decision-making process. For instance, organizations may use deep learning technology to unveil any data pointers between industry insights, social media conversation, and a stock price of a given organization. Image and voice recognition are some of the leading applications in the deep learning industry. Several online and offline services such as Alexa virtual assistant by Amazon, Microsoft Cortana, and Siri use deep learning to acquire language skills while interacting with people. Facebook and Google have implemented deep learning technology for cognitive image analysis in their image classification application. It helps companies provide relevant results and automatic descriptions related to images. Natural Language Processing Market Growth & Trends The global natural language processing market size is estimated to reach USD 439.85 billion by 2030, expanding at a CAGR of 40.4% from 2023 to 2030, according to a new study by Grand View Research, Inc. Machine learning is predicted to play a critical role in natural language processing (NLP) techniques, mostly in text analytics, as AI advances. In the future, unsupervised and supervised learning will enable machine-learning engines to undertake more in-depth assessments. According to their ongoing evolution, social media platforms are expected to play a superior role in business decisions. A company, for instance, can rely on several NLP tools to track customer evaluations, feedback, and comments about their business on social media platforms and in the news around the time of a quarterly report. Factors such as increased usage of smart devices to facilitate smart environments boost market growth. Additionally, the demand for NLP technologies is expanding owing to the rising demand for sophisticated text analytics and increasing internet and connected device usage. In addition, NLP-based apps are increasingly being used across industries to enhance customer experience. Additional profitable market expansion potentials are anticipated due to rising healthcare sector investments. However, constraints in the development of NLP technology utilizing neural networks and complexity associated with the use of code-mixed language during the implementation of NLP solutions constrain the use of cloud-based services, which can create hindrances for market growth. Companies with huge amounts of spoken or unstructured text data can effectively discover, collect, and analyze dark data issues to the growing pragmatic application of NLP. The usage of NLP is anticipated to increase in areas like semantic search and intelligent chatbots that need to comprehend user intent. The abundance of natural language technologies is expected to endure to shape the communication capability of cognitive computing and the expanding utilization of deep learning and unsupervised and supervised machine learning. Intelligent data for businesses to develop plans, NLP is essential for tracking and monitoring market intelligence reports. Go through the table of content of Machine Learning Industry Data Book to get a better understanding of the Coverage & Scope of the study. Machine Learning Industry Data Book Competitive Landscape The market participants are implementing several organic and inorganic growth strategies, including new product launches, product modernizations, collaborations, corporate expansions, and acquisitions and mergers. Further, the companies are also focusing on developing new products and services with enhanced capabilities. For instance, In May 2022, Meta announced the launch of a new Al platform MyoSuite. Key players operating in the Machine Learning industry are – • Advanced Micro Devices, Inc. • Amazon Web Services, Inc. • Apple Inc. • ARM Ltd • Atomwise Inc. • Baidu Inc. • Clarifai Inc. • Enlitic Inc. • Google LLC • Hewlett Packard Enterprise Development LP • H2O.AI • HyperVerge • IBM Corporation • Inbenta Holdings Inc. • Intel Corporation • Just AI Limited • Linguamatics • Meta Platforms Inc. • Microsoft Corporation • NVIDIA Corporation • NetBase Quid Inc. • Oracle Inc. • SAP SE • SAS Institute Inc. • Sensely Inc. • SoundHound AI, Inc. Material handling robots industry data book covers automated guided vehicles, autonomous mobile robot and collaborative robots markets. Global material handling robots market was estimated USD 7.34 billion in revenue in 2021, which is expected to reach USD 31.07 billion by 2030, growing at a cumulative rate of 17.4% over the forecast period. Access the Global Material Handling Robots Industry Data Book from 2023 to 2030, compiled with details by Grand View Research Automated Guided Vehicles Market Growth & Trends The global automated guided vehicle market size was valued at USD 3.81 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 10.2% from 2022 to 2030. Automated guided vehicles (AGVs) have transformed the way materials can be moved within the manufacturing and distribution facilities. In a production environment where several operations are carried out simultaneously, these vehicles ensure a predictable and reliable transfer of raw materials and manufactured products from one point to another within the facility, thereby eliminating any potential disruption in production. These vehicles can operate safely around structures, machinery, and employees, as they are equipped with accessories, such as camera vision and LiDAR sensors, which help detect junctions, identify floor signs, and avoid collisions with any obstacle. For instance, in November 2021, Quanergy Systems, Inc., a U.S.-based company that offers an AI-powered LiDAR platform, launched the new M1 Edge 2D LiDAR sensors for automation. The newly launched LiDAR sensor is light in weight, broad 360°, with a sensing capability of up to 200 meters used in mobile robotics, AGVs, warehouse logistics applications, and port automation. Several manufacturing plants and warehouses deploy material handling equipment for various activities, such as locating stock, picking orders, and moving products and raw materials. Transportation and logistics firms are mainly focusing on deploying such equipment to boost the efficiency of their operations in line with the growing demand for their services. For instance, in March 2023, MasterMover Ltd, a prominent manufacturer of electric tug and tow solutions, announced a collaboration with BlueBotics, a navigation, robotics, and industrial automation company. The partnership intends to offer best-in-class Autonomous Navigation Technology (ANT) technologies for MasterMover's range of AGVs. In February 2021, Scott (Transbotics Corporation), a prominent solution provider for AGVs, partnered with KUKA AG, a German manufacturer of robots, to coordinate the industrial robots of KUKA AG into material handling systems. Further, these robots would also benefit the warehouse team in assembling, packaging, welding, storing, and shipping. Also, material handling solutions are used to increase transportation efficiency, decrease physical damage to the material, and reduce overheads by limiting the number of employees. Order your copy of Free Sample of “Material Handling Robots Industry Data Book –Market Size, Share, Trends Analysis And Segment Forecasts, 2023 - 2030” Data Book, published by Grand View Research Autonomous Mobile Robot Market Growth & Trends The global autonomous mobile robot market size was valued at USD 2.52 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 16.8% from 2022 to 2030. AMRs have triggered a paradigm shift in the way tasks, such as material picking, handling, and sorting, that are commonly associated with manufacturing and distribution are performed. These robots can ensure the reliable handling of raw materials and manufactured items within distribution and production facilities, thereby eliminating disruptions in operations. These robots are typically equipped with different sensors, such as LiDAR sensors, to navigate equipment and worker safety. For instance, in May 2022, Qualcomm introduced the Robotics RB6 platform, a high-end hardware development kit that can serve as the brains for commercial drones, autonomous robots, and delivery robots. It also unveiled a brand-new RB5 reference design, based on the RB5 platform used in millions of systems, that includes all the hardware and sensors needed to develop AMRs. Manufacturing and distribution facilities aggressively deploy material handling automation systems for tasks such as picking & packing, moving and sorting items. Incumbents of the transportation & logistics industry are leading the deployment of AMRs to boost production and distribution operations, in line with the increasing demand. With the fast-developing e-commerce business driving direct delivery trends, order fulfillment productivity has become a priority for warehouse operators. AMRs benefit warehouse operators by reducing the workload for order pickers and improving safety by eliminating forklift accidents and musculoskeletal diseases. For instance, in December 2021, at the India Warehousing Show (IWS), Addverb Technologies Private Limited, a worldwide robotics business, announced the introduction of Veloce, a multi-carton picking mobile robot. The new picking robot boosts storage efficiency by increasing capacity and utilizing vertical spaces, enabling clients to save vital costs on warehouse space and associated pricey rentals. Collaborative Robots Market Growth & Trends The global collaborative robots market size was valued at USD 1.01 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 31.5%, from 2022 to 2030. The growth can be credited to the growing inclination of industries toward collaborative robots or cobots to automate manufacturing processes. Over the past few years, the growing interest in robot technology across various industries has positively impacted the collaborative robots industry. Unlike conventional industrial robots, cobots are developed to operate at par with their human counterparts. They are mobile and can be easily moved from one area of a manufacturing facility to another. Moreover, they can be programmed with ease, are more cost-effective than their fixed counterparts, and can be used in a wide range of low-speed, repetitive applications. The increasing need for highly efficient and user-friendly robots that do not require highly skilled experts for deployment and functioning has created a significant demand for software platforms. These platforms allow the integration of robots, motion control, and the generation of an interface that enables the programming of such robots. For instance, Mitsubishi Electric Corporation has launched a cobot named MELFA ASSISTA equipped with RT VisualBox, the company’s engineering software. This software allows the intuitive creation of operating sequences by connecting block diagrams in a chain of events, including linking with other devices, such as cameras and the hands of the robot. The increasing demand from industrial customers, researchers, and engineers further strengthens the outlook of the collaborative robots industry. These robots are being deployed across various industries and have been highly influential in addressing the challenges faced by the logistics sector, such as complex work processes, and managing several tasks in different combinations and compact spaces. Go through the table of content of Material Handling Robots Industry Data Book to get a better understanding of the Coverage & Scope of the study. Competitive Landscape Key players operating in the Material Handling Robots Industry are – • Swisslog Holding AG • Egemin Automation Inc. • Bastian Solutions, Inc. • Daifuku Co., Ltd. • Dematic • ABB Group • Bleum • Boston Dynamics • Clearpath Robotics, Inc. • GreyOrange • IAM Robotics • Epson Robots • F&P Robotics AG • Fanuc Corporation • Precise Automation, Inc. • Yaskawa Electric Corporation • Techman Robot Inc. • DENSO Robotics • AUBO Robotics • BALYO Grand View Research’s material handling robots’ industry data book is a collection of market sizing information & forecasts, competitive benchmarking analyses, macro-environmental analyses, and regulatory & technological framework studies. Within the purview of the database, all such information is systematically analyzed and provided in the form of presentations and detailed outlook reports on individual areas of research. Agriculture equipment industry data book covers agriculture tractors & tractors implements, agriculture equipment market. agriculture equipment market size was valued at USD 286.03 billion in 2022 and is expected to register a growth of 6.2% throughout the forecast period.
Global agriculture equipment industry data book is a collection of market sizing information & forecasts, competitive benchmarking analyses, macro-environmental analyses, and regulatory & technological framework studies. Within the purview of the database, all such information is systematically analyzed and provided in the form of presentations and detailed outlook reports on individual areas of research. Agriculture Equipment Market Analysis & Forecast The global agriculture equipment market size was evaluated at USD 155.7 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 5.0% from 2022 to 2030. Increasing mechanization in the agriculture sector coupled with the surge in farmers’ income is expected to be a primary factor driving the growth. Favorable climatic conditions for food production and government support with loan waiver schemes for farmers of all income categories are also presumed to favor the market growth. Technologically advanced agricultural robotics, such as autonomous tractors and flying drones to help farmers produce food at low costs to fulfil the growing demand for food, are anticipated to be better prospects for market growth over the forecast period. Favourable government initiatives are anticipated to drive the growth of the market during the forecast period. For instance, the Russian government is attempting to trigger investment in capital purchases by proposing several subsidies for strategically significant sub-sectors including meat and milk production. The Ministry of Agriculture sanctioned 464 projects worth USD 4 billion, expected to receive government support food security and reduce the livestock imports. Moreover, factors such as lack of human resources and the availability of easy credit and funds are projected to spur the demand for tractors and other farm equipment in other emerging countries over the forecast period. North America was valued at USD 35.1 billion in 2021 and is expected to register a CAGR of over 5.0% during the forecast period. The Middle East and Africa region was valued at USD 10.1billion in 2021 and is expected to record a CAGR of 2.0% over the forecast period. South Africa, Saudi Arabia, and UAE are notable markets in the region. The arid and semiarid countries in the Middle East with low and variable rainfall are likely to witness increased demand for irrigated and crop processing equipment over the forecast period. Increasing Chinese investments in African countries are expected to boost the regional agriculture sector. The recent business expansion of New Hope Group, an investment firm, in Egypt is one such instance that suggests the increasing Chinese influence in the region. Order Free Sample Copy of “Agriculture Equipment Industry Data Book - Agriculture Tractors & Tractors Implements, Agriculture Equipment Market Size, Share, Trends Analysis, And Segment Forecasts, 2022 – 2030s” Data Book, published by Grand View Research Agriculture Tractor Market Analysis & Forecast The global agriculture tractor market was valued USD 88.5 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 8.3% from 2022 to 2030. The increase in demand for compact tractors on small farms and technical developments such as the integration of telematics with agricultural tractors are expected to drive growth. Furthermore, the quick adoption of mechanization is expected to be favourable for the market's expansion during the following eight years. Additionally, it is anticipated that the market will witness growth due to the migration of farm workers to cities, which would result in a labor shortage. Due to the brief production halt and supply chain disruption caused by the COVID-19 outbreak, product demand was impeded. Also, OEMs are currently experiencing a shortage of semiconductors coupled with supply chain disruptions and market uncertainty due to the growing COVID-19 cases, which may delay production. Furthermore, a hike in steel and aluminum prices is expected to increase tractor prices, which is further anticipated to hinder market growth over the next few quarters. Favourable government policies are likely to boost market growth over the forecast period. For instance, on September 15, 2022, the U.S. Department of Agriculture (USDA) introduced a Precision Agriculture Loan (PAL) Act to allow farmers and ranchers to avail of loans to purchase precision agriculture equipment. Asia Pacific led the global market with a volume share of more than 69% in 2022 and is estimated to grow at the fastest CAGR over the forecast period retaining the dominant position. Europe is expected to grow at a moderate CAGR in terms of volume over the next few quarters in 2023. The growth is attributed to the increased demand for large farm tractors, particularly from Italy, Greece, and Lithuania. Tractor Implements Market Analysis & Forecast The global tractor implements market size was valued at USD 28.6 billion in 2021 and is expected to grow at a compound annual growth rate (CAGR) of 5.0% from 2022 to 2030. Rapid industrialization in the agriculture sector has resulted in increased expenditures on labour-intensive products, such as cultivators, harrows, and tillers, boosting industry growth. Furthermore, the increasing scarcity of skilled labour leads to the adoption of new equipment and tools, supporting industry growth. For instance, according to the data published by the International Labor Organization (ILO), headquartered in Geneva, Switzerland, the percentage of people working in the agriculture sector globally decreased from 44% in 1991 to 26% in 2020. This is shaping the market and boosting the adoption of various tractor implements to increase crop production. Several tractors implement manufacturers struggled to remain operational during the COVID-19 lockdowns, resulting in a sharp decline in business. The industry was negatively impacted in the first half of 2020. However, it bounced back and witnessed growth due to various significant global economies opening. In addition, manufacturers started adopting innovative strategies to recover from the pandemic. The Asia Pacific region dominated the global industry in 2021 and accounted for the maximum share of more than 35.25% of the overall revenue. North America emerged as the second-largest regional market in 2021 and is projected to expand further at a steady growth rate during the forecast period. The countries in the North America region are increasingly adopting automation and smart farming solutions to meet the growing demand. Go through the table of content of Agriculture Equipment Industry Data Book to get a better understanding of the Coverage & Scope of the study. Agriculture Equipment Industry Data Book Competitive Landscape Companies are engaging in several growth strategies, such as partnerships, mergers & acquisitions, and product launches, to stay afloat in the competitive industry. For instance, in May 2021, an agriculture machinery company CLAAS KGaA Mbh from Harsewinkel, Germany, acquired a minority stake in Dutch startup AgXeed B.V. The acquisition was intended to promote the commercialization of autonomous farming machines. Key players operating in the agriculture equipment industry are – • AGCO Corp. • CNH Industrial N.V. • Deere & Company • CLAAS KGaAmbH • Escorts Ltd. • International Tractors Ltd. • YanmarCo., Ltd. • KubotaCorp. • Mahindra & Mahindra Ltd. • Tractors and Farm Equipment Ltd. • Agromaster • APV GmbH • Bellota Agrisolutions • HORSCH Maschinen GmbH • ISEKI & Co., Ltd. • J C Bamford Excavators Ltd • Quivogne CEE GmbH (Kiwon RUS LLC) • Rostselmash • KRUKOWIAK • KUHN SAS • LEMKEN GmbH & Co. KG • MascarSpA Data collection and labeling industry data book covers data collection and data labeling market.
Global data collection and labeling industry data book is a collection of market sizing information & forecasts, competitive benchmarking analyses, macro-environmental analyses, and regulatory & technological framework studies. Within the purview of the database, all such information is systematically analyzed and provided in the form of presentations and detailed outlook reports on individual areas of research. The global market size for data collection and labelling was estimated at USD 2.22 billion in 2022 and is anticipated to grow at a CAGR of 28.9% from 2023 to 2030. Data Collection Market Analysis & Forecast The global data collection market size was valued at USD 1.41 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 30.1% from 2023 to 2030. Data collection involves gathering, acquiring, and aggregating data from various sources. It encompasses various methods and technologies for collecting data, including sensor networks, web scraping, and more. The data collected can be structured or unstructured and come from different domains, such as social media, healthcare, and finance. The exponential growth of digital information has led to the emergence of big data. Businesses and organizations across industries recognize the value of data in making informed decisions, improving operations, and gaining competitive advantages. As a result, there is a growing demand for data collection services to acquire and manage large volumes of data. E-commerce websites, social media platforms, and online forums have become rich sources of valuable data. Enterprises seek to extract insights from user-generated content, online reviews, and social media interactions. Data collection techniques like web scraping and sentiment analysis are used to gather and analyze data from these platforms. Furthermore, the Internet of Things (IoT) enabled data collection from interconnected devices and sensors. Industries like manufacturing, healthcare, transportation, and agriculture leverage IoT devices to collect real-time data on production processes, patient health, vehicle performance, and environmental conditions. Data collection market players offer solutions to collect, store, and analyze this IoT-generated data. Data Labeling Market Analysis & Forecast The global data labeling market size was valued at USD 0.81 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 26.5% from 2023 to 2030. Data labeling involves annotating, categorizing, and tagging data to make it understandable and usable for machine learning algorithms. Data labeling is a critical step in training AI and machine learning models as it provides labeled examples that algorithms use to learn and make accurate predictions or classifications. The data labeling market includes various techniques, platforms, and service providers specializing in labeling different data types, such as images, videos, text, audio, and more. Different industries have specific labeling requirements based on their unique use cases. For instance, autonomous driving vehicle companies need labeled data to train self-driving cars, while healthcare organizations require annotated medical images for diagnostics. The data labeling market offers specialized services that cater to these industry-specific needs. Large amounts of data need the right number of data labeling workforce to meet their requirements. A high-performing data labeling pipeline necessitates a smart combination of workforce with technical knowledge, tools, and procedures that can consistently deliver high accuracy across whole datasets. Organizations should examine the various labeling workforce approaches during the decision-making process. Pricing is another important aspect of data labeling. The price model used by a data labeling service can impact the overall cost and quality of the data. Pricing is a difficult procedure since even little differences in speed, data type, number of classes, annotation type, and volume of data can affect pricing. Order Free Sample Copy of “Data Collection and Labeling Industry Data Book - Data Collection and Data Labeling Market Size, Share, Trends Analysis, And Segment Forecasts, 2023 - 2030” Data Book, published by Grand View Research Data Collection and Labeling Market – Global Industry Segmentation Data Collection and Labeling Industry, By Data Type • Text • Image/ Video • Audio Data Collection and Labeling Industry, By Vertical • IT • Automotive • Government • Healthcare • BFSI • Retail & E-commerce • Others Data Collection and Labeling Industry, By Region • North America o U.S. o Canada • Europe o Germany o UK o France • Asia Pacific o China o Japan o India • Latin America o Brazil o Mexico • Middle East & Africa (MEA) Go through the table of content of Data Collection and Labeling Industry Data Book to get a better understanding of the Coverage & Scope of the study. Data Collection and Labeling Industry Data Book Competitive Landscape Vendors in the market are focusing on increasing their customer base to gain a competitive edge in the industry. Therefore, vendors are taking several strategic initiatives, such as collaborations, acquisitions & mergers, and partnerships with other key players in the market. Key players operating in the data collection and labeling industry are – • Globalme Localization Inc. • Global Technology Solutions • Alegion • Labelbox, Inc • Dobility, Inc. • Scale AI, Inc. • Trilldata Technologies Pvt Ltd • Appen Limited • Playment Inc The global market size for cloud computing was estimated at USD 483.97 billion in 2022 and is anticipated to increase at a CAGR of 14.1% from 2023 to 2030. Global cloud computing industry database is a collection of market sizing information & forecasts, competitive benchmarking analyses, macro-environmental analyses, and regulatory & technological framework studies. Within the purview of the database, all such information is systematically analyzed and provided in the form of presentations and detailed outlook reports on individual areas of research. Public Cloud Market Analysis & Forecast The global public cloud market size was valued at USD 171.39 billion in 2022 and is expected to expand at a compound annual growth rate (CAGR) of 13.1% from 2023 to 2030. Rapidly increasing digital transformation among industries, penetration of internet and mobile devices, and rise in consumption of big data are the primary drivers fostering market growth. The development of next generation industrial solutions will be cloud enhanced and require a platform to showcase their digital business capabilities. Rise in internet of things (IoT), edge computing, 5G, use of real-time analytics enabled by artificial intelligence (AI), and machine learning (ML) are likely to boost the utility of this computing technology among the organizations. North America dominated the market with over 49% share in 2019 owing to the early adoption of the technology. The Asia Pacific is likely to emerge as the fastest growing region in the market over the forecast period. The rapid growth of China and India coupled with the emergence of regional players such as Alibaba Group has had a positive impact on the regional market growth in recent years. Private Cloud Market Analysis & Forecast The global private cloud market was valued at USD 222.30 billion in 2022 and is expected to grow at a CAGR of 14.7% over the forecast period from 2023 to 2030. Businesses with variable networks frequently use the private cloud to ensure access and total control over the cloud environment. Enterprises are adopting a private cloud due to the necessity for data protection and compliance with the shifting regulatory environment. Companies aim to lower CAPEX while concentrating on business transformation projects that improve organizational agility. Enterprises are increasingly adopting private cloud infrastructure due to the high volume of sensitive data they produce. Companies can better understand customer behavior and create new goods and services by analyzing patterns in real-time data. Hence, enterprises are continuously adopting private cloud infrastructure. Vendors are continuously adopting various growth strategies to increase their presence in the market. For instance, in March 2022, Adobe announced the development of the ecosystem with new partners and tools. Through the launch of Adobe Experience Cloud, its private cloud network, the company started offering developers new tools for creating and deploying cloud-based apps that integrate seamlessly across its products. The extensive ecosystem of tech partners for Adobe includes FedEx, Anaplan, OneTrust, Walmart, PayPal, and The Weather Company, an IBM Business. Order Free Sample Copy of “Cloud Computing Industry Data Book - Public Cloud, Private Cloud and Hybrid Cloud Market Size, Share, Trends Analysis, And Segment Forecasts, 2023 - 2030” Data Book, published by Grand View Research Hybrid Cloud Market Analysis & Forecast The global hybrid cloud market size was valued at USD 90.28 billion in 2022 and is projected to grow at a compound annual growth rate (CAGR) of 14.2% from 2023 to 2030. There has been a significant shift toward hybrid infrastructure services due to the expansion of cloud and industrialized services and the loss of traditional Data Center Outsourcing (DCO). A decline in traditional DCO is due to the increase in infrastructure utility services, colocation, and hosting spending. This is anticipated to fuel the transition to cloud hosting. Moreover, government agencies are refocusing their efforts on implementing hyper-scale clouds, which offer advantages including unified operations, data center modernization, application innovation, and security and governance. Furthermore, the cloud allows government organizations to handle cyclical demands or emergencies without overprovisioning hardware. Hybrid cloud solutions offer enterprises a competitive edge by enabling scalability, advanced services, and secure infrastructure. This strategy provides a secure firewall for private services and sufficient integration. In addition, it offers several benefits, such as total support for the remote workforce, decreased operational costs, and improved scalability, control, security, and risk management. Hence, the extensive use of cloud computing services is expected to boost demand for hybrid cloud solutions over the forecast period. Cloud Computing Market – Global Industry Segmentation Cloud Computing Industry, By Deployment Type • Public • Private • Hybrid Cloud Computing Industry, By Service • Infrastructure as a Service (IaaS) • Platform as a Service (PaaS) • Software as a Service (SaaS) Cloud Computing Industry, By Enterprise Size • Large Enterprise • Small & Medium Enterprise Cloud Computing Industry, By End-use • BFSI • IT & Telecom • Retail & Consumer Goods • Manufacturing • Energy & Utilities • Healthcare • Media & Entertainment • Government & Public Sector • Others Cloud Computing Industry, By Region • North America • Europe • APAC • Latin America • MEA Go through the table of content of Cloud Computing Industry Data Book to get a better understanding of the Coverage & Scope of the study. Cloud Computing Industry Data Book Competitive Landscape Companies are adopting several growth strategies, such as partnerships, mergers & acquisitions, and product launches, to stay afloat in this competitive industry. For instance, in May 2023, SAP SE expanded its partnership with Google Cloud, to introduce an open data offering that simplifies data landscapes and increases business intelligence. SAP Datasphere and Google's cloud-enable customers to build end-to-end data clouds that bring data from across their enterprise landscape, allowing businesses to view the entire data estate in real time and maximize the value of their SAP SE and Google Cloud software investments. Key players operating in the cloud computing industry are – • Alibaba Group Holding Ltd. • Amazon.com Inc. • Adobe Inc. • Google LLC • Microsoft Corp. • International Business Machines Corp • Oracle Corp. • Salesforce.com Inc. • SAP SE • Workday, Inc Data preparation industry data book covers data collection and labelling, data labelling solutions and services & data integration market. The global data preparation industry to account for USD 20.89 billion in revenue in 2021, which is expected to reach USD 88.33 billion by 2030, growing at a cumulative rate of 17.0% over the forecast period. Grand View Research’s data preparation industry data book is a collection of market sizing information & forecasts, competitive benchmarking analyses, macro-environmental analyses, and regulatory & technological framework studies. Within the purview of the database, all such information is systematically analyzed and provided in the form of presentations and detailed outlook reports on individual areas of research. Data Collection and Labelling Market Insights The global data collection and the labelling market size was valued at USD 1.67 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 25.1% from 2022 to 2030. The market is expected to witness a surge in technology adoption owing to benefits such as extracting business insights from socially shared pictures and auto-organizing untagged photo collections. It also contributes to developing enhanced safety features in autonomous vehicles, such as condition monitoring, terrain detection, wear detection, and emergency vehicle detection. The market demand for data labelling and collecting has increased due to the growth of e-commerce businesses and online buying behaviour. In addition, the need for data collection and labelling services has also increased due to the rise in automobile markets and the tendency of consumers to make purchases using both online and offline channels. The market demand for real-time data labelling has significantly increased due to the continuous growth of IT industries and cloud-based services. Moreover, additional AI-integrated services and media services have emerged as potential data sources for collectors. North America dominated the market in 2022, accounting for more than 35% of global revenue. It is due to the increasing rise of cloud-based media services in the region. It is one of the key potential data venues for collection. The expanding integration of mobile computing platforms and artificial intelligence in digital shopping and e-commerce is credited with the rise of the North American regional segment. Data collection generates a lot of data for annotation. The European regional market is predicted to increase significantly during the forecast period. As car obstacle detection technologies improve throughout the forecast period, the European auto industry will likely expand its market. On the other hand, the Asia Pacific is expected to develop at the fastest CAGR during the projection period. This expansion can be ascribed to the increased usage of mobile phones and tablets, data processing technologies, and the popularity of social networking sites in emerging economies such as China and India. Order your copy of the Free Sample of Data Preparation Industry Data Book published by Grand View Research Data Labelling Solutions and Services Market Insights The global data labelling solution and services market size was valued at USD 8.69 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 21.0% from 2022 to 2030. By adding attribute tags, data labeling tools assist users in developing data value. Data labeling is a process for identifying raw data (text, videos images, etc.) and adding one or more significant and revealing labels to offer context. Machine learning has been incorporated in several industries, including facial recognition on social networking websites powered by data collection, automated picture organization of visual websites, and robots & drones. Prominent growth in the automotive business, particularly in self-driving vehicles, significantly fuels data labeling solutions and services. A self-driving vehicle has a multiplicity of sensors and networking devices that let the computer drive the vehicle. In 2022, North America led the market, accounting for more than 31.0% of total revenue. Emerging investment in data labeling solutions in this region is leading the market growth. Early adopters of AI in the North American market, such as Canada and the U.S., are at the edges of data labeling solutions and services. During the forecast years, the European market is anticipated to increase steadily. In addition, emerging growth in automotive obstacle detection technologies are expected to fuel the market's growth in the European region's automobile sector over the forecast period. The Asia Pacific regional market is anticipated to gain significant traction in the global market and expand at a CAGR of 22.8% over the forecast period. The growth is attributable to slight technological advancements, the rapidly increasing adoption of mobiles and tablets, and the increasing prominence of social networking in developing economies such as India and China. For instance, Real-name registering laws, which the Chinese government has strictly implemented, require all citizens to connect their official government ID with an internet account. Such policies are augmenting the use of data labeling solutions across the country. Data Integration Market insights The global data integration market size was valued at USD 10,534.0 million in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 11.9% from 2022 to 2030. Data integration is the process of bringing data together from various sources into a single, comprehensive view. Transformation, cleansing, extract, transform, and load (ETL) mapping are a few processes involved in data integration. Analytics solutions can provide valuable, actionable business intelligence with the help of data integration. Data integration creates a unified, single view of an organization's data that a business intelligence application can access to deliver actionable insights based on the organization's data assets, regardless of the source or format. North America dominated the market in 2021, accounting for over 39% share of the global revenue. Developed countries like Canada and the U.S. drive the market's growth. With the increased adoption of digital strategies, the region is moving towards upgraded and innovative technologies. Growing technological advancements in the area are essential factors promoting market expansion in North America. The rising number of global data integration businesses will aid the expanding market. Asia Pacific is anticipated to register the fastest CAGR of 15.4% from 2022 to 2030. The leading players are focusing on growing their product portfolios, rising investments, and strategic partnerships to create both easy and robust functionality. Along with this, several initiatives were implemented, and it is anticipated that the industry will expand as e-commerce trade in the region continues to rise. For instance, in July 2022, Boomi, LP.a data integration platform provider, expanded its offerings for cloud data integration in Japan. The company invested in Japan's market to meet the increasing demand for business automation and data integration solutions which would scale the company's business for customers across the region. Go through the table of content of Data Preparation Industry Data Book to get a better understanding of the Coverage & Scope of the study. Data Preparation Industry Data Book Competitive Landscape The market participants are implementing several organic and inorganic growth strategies, including new product launches, product modernizations, collaborations, corporate expansions, and acquisitions and mergers. For instance, in May 2022, Informatica Inc. announced a partnership with the Oracle enterprise connectivity and automation platform which offers modernized data, applications, APIs, and business processes. Key players operating in the data preparation industry are – • Alegion • Amazon Mechanical Turk, Inc. • Appen Limited • Clickworker GmbH • CloudFactory Limited • Cogito Tech LLC • Crowdworks, Inc. • Deep Systems, LLC • Denodo Technologies • Dobility, Inc. • Explosion AI GmbH • Global Technology Solutions • Globalme Localization Inc. • Heex Technologies • IBM Corporation Machine learning industry data book covers machine learning, deep learning, natural language processing market. Grand View Research’s Machine Learning Industry data book is a collection of market sizing information & forecasts, competitive benchmarking analyses, macro-environmental analyses, and regulatory & technological framework studies. Within the purview of the database, all such information is systematically analyzed and provided in the form of presentations and detailed outlook reports on individual areas of research. Machine Learning Market Insights The global machine learning market size was valued at USD 25.58 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 35.6% from 2022 to 2030. Artificial Intelligence (AI) is an emerging technology transforming how businesses and people operate. Through the development of several digital services and products, as well as supply chain optimization, these technologies have revolutionized the consumer experience. While some startups concentrate on solutions for specialized domains, numerous technology firms invest in this area to create AI platforms. Machine Learning (ML), one of the AI approaches, is getting a lot of momentum in the industry due to its quick progress. The North America segment dominated the market in 2022 with a revenue share of 29.5%. With the increasing impact of machine learning on society, there is a growing emphasis on ethical AI and responsible AI practices in North America. Organizations prioritize fairness, transparency, and accountability in machine learning models and algorithms. Efforts are being made to mitigate biases, ensure privacy protection, and address ethical considerations related to AI applications. Regulatory frameworks, guidelines, and industry standards are being developed to govern the region's responsible use of machine learning. Machine learning and AI technologies are being quickly adopted in Asia Pacific nations, including China, India, and South Korea. Emerging economies use AI to boost productivity, promote economic growth, and tackle societal issues. The region's machine-learning industry is expanding due to government efforts, investments in R&D, and robust technological ecosystems. For instance, In January 2023, Baidu Inc. intended to introduce a chatbot service using artificial intelligence similar to OpenAl's ChatGPT. In March, the biggest search engine in China plans to release a ChatGPT-like app, first incorporating it within its core search functions. Deep Learning Market Insights The global deep learning market size was valued at USD 34.83 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 34.3% from 2022 to 2030. The technology is gaining prominence because of advancements in data center capabilities, high computing power, and its ability to perform tasks without relying on human input. Moreover, the rapid adoption of cloud-based technology across several industries is fueling the growth of the deep learning industry. North America dominated the market with a revenue share of over 36.8% in 2022, which is attributed to increased investments in artificial intelligence and neural networks. The high adoption of image and pattern recognition in the region is expected to open new growth opportunities over the forecast period. Moreover, the region is one of the early adopters of advanced technologies, rendering organizations to adopt deep learning capabilities at a faster pace. Furthermore, increased government support is expected to provide a positive impact on the growth of the industry in the region. The establishment of subcommittees on artificial intelligence and machine learning within the federal government is providing traction for growth. Order your copy of the Free Sample of “Machine Learning Industry Data Book - Machine Learning, Deep Learning, Natural Language Processing Market Size, Share, Trends Analysis, And Segment Forecasts, 2023 - 2030” Data Book, published by Grand View Research Natural Language Processing Market insights The global natural language processing market size was valued at USD 18.51 million in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 41.3% from 2022 to 2030. Natural language processing (NLP) is a prominent component of artificial intelligence, it has applications in consumer chatbots and digital assistants and commercial applications like sentiment analysis, text analysis, voice sense (speech analysis), and change effect analysis. The NLP market is witnessing rapid growth owing to the rapid acceptance of novel technology advancements. Additionally, the growing requirement for data management and increased complexity in major businesses is also fostering the growth of the industry. North America is estimated to hold the largest revenue share of 30.7% in 2022. The region dominates AI and machine learning technologies, making it one of the key marketplaces for natural language processing technologies. Further, the prevalence of key market participants in the U.S. drives innovation in the region subsequently fueling the natural language processing market growth. Regional governments are also increasingly encouraging the use of AI, ML, and NLP technologies, which is allowing market participants to expand their presence in the region. Asia Pacific is projected to expand at the highest CAGR of 42.7% during the forecast period. The growth is attributable to increasing smartphone usage, rapid technological advancements, the digitalization of economies, and government initiatives in developing countries from the region. Furthermore, this region holds leading positions in cutting-edge industries like robotics and has a strong IT infrastructure, software, and service offerings. These factors would create profitable growth prospects for the market. Machine Learning Industry Data Book Regional Outlook • North America o U.S. o Canada o Mexico • Europe o U.K. o Germany o France o Rest of Europe • APAC o China o Japan o India o Rest of APAC • South America o Brazil o Rest of South America • MEA Go through the table of content of Machine Learning Industry Data Book to get a better understanding of the Coverage & Scope of the study. Machine Learning Industry Data Book Competitive Landscape The market participants are implementing several organic and inorganic growth strategies, including new product launches, product modernizations, collaborations, corporate expansions, and acquisitions and mergers. Further, the companies are also focusing on developing new products and services with enhanced capabilities. For instance, In May 2022, Meta announced the launch of a new Al platform MyoSuite. Key players operating in the Machine Learning industry are – • Advanced Micro Devices, Inc. • Amazon Web Services, Inc. • Apple Inc. • ARM Ltd • Atomwise Inc. • Baidu Inc. • Clarifai Inc. • Enlitic Inc. • Google LLC • Hewlett Packard Enterprise Development LP • H2O.AI • HyperVerge • IBM Corporation • Inbenta Holdings Inc. • Intel Corporation • Just AI Limited • Linguamatics • Meta Platforms Inc. • Microsoft Corporation • NVIDIA Corporation • NetBase Quid Inc. • Oracle Inc. • SAP SE • SAS Institute Inc. • Sensely Inc. • SoundHound AI, Inc. Wi-Fi Chipset Industry Is Driven by Increasing Demand for High-Performance Network Connectivity9/4/2023 The growing need for an enhanced network, low latency, and bandwidth communications across enterprises is estimated to drive the market during the forecast period. The significantly increasing data traffic has accelerated the need for superior network connectivity across several verticals, such as corporate and industrial. Thus, it is expected to boost the installations of wi-fi 6 and 6E devices and subsequently increase the demand for their chipsets in the next seven years.
Grand View Research’s Wireless Fidelity (Wi-Fi) chipset industry data book is a collection of market sizing information & forecasts (2019-2030), key players competitive benchmarking analysis, government regulatory data, macro-environmental analysis, and technological framework studies. Within the purview of the database, all such information is systematically analyzed and provided in the form of presentations and detailed outlook reports on individual areas of research. Wi-Fi 6 Chipset Market Insights The global Wireless Fidelity 6 market generated over USD 9.90 billion revenue in 2021 and is projected to expand at a CAGR of around 4.6% during the forecast period to reach USD 24.10 billion by 2030. The growth of this market can be attributed to the increasing demand for high-performance network connectivity that can allow multiple users to access the network simultaneously at a consistent bandwidth capacity. The Wireless Fidelity 6 market is expected to register a significant growth rate over the forecast period owing to the growing need for high bandwidth to mitigate network congestion due to heavy network load. Moreover, the growth is further influenced by the rapidly growing demand for modern devices such as smartphones, laptops, tablets, and routers with the supporting capability of new wireless frequency bands such as 2.4GHz, 5GHz, and 6GHz. Additionally, offering Basic Service Set (BSS) colouring features in WiFi 6 technology allows users to improve network reliability in a dense ecosystem by enabling frames from the neighbour’s network. These frames help to minimize interference from other networks and boost the network speed. As a result, these chips are expected to witness increased demand across residential, commercial, and industrial applications. Wi-Fi Chipset 6E Market Insights The global Wireless Fidelity 6E market generated over USD 2.37 billion revenue in 2021 and is projected to expand at a CAGR of around 27% during the forecast period. The rising need for improved network low latency and bandwidth communications across companies is expected to drive the market over the projected period. The greatly increased data traffic has driven the need for enhanced network connectivity across numerous industries, including corporate and industrial. Thus, over the coming years, it is projected that the installation of Wi-Fi 6E devices will expand, as will the demand for their chipsets. Several companies across the globe are focusing on developing Wi-Fi 6E modules to power the upcoming laptops and PCs. Wi-Fi 6E have emerged as promising Wi-Fi technology, delivering improved network speed and streamlined connectivity for connected cars. These chipsets are widely used in applications such as advanced driver assistance systems, infotainment systems, and telematics control units. Compared to the predecessor Wi-Fi technology. It delivers high bandwidth, up to fourfold increase in channel capacity, more extended range, and better coverage. Numerous companies are making significant developments in 6E chipsets, thus further increasing their demand across connected vehicles. For instance, LG Innotek, a Korean company, has launched a Wi-Fi 6E module that integrates radio frequency circuitry, communication chipsets, a smart antenna, audio-video navigation system, and other components in one package. Order your copy of the Free Sample of “Wi-Fi Chipset Industry Data Book - Wi-Fi 6, Wi-Fi 6E and Wi-Fi 7 Market Size, Share, Trends Analysis, And Segment Forecasts, 2023 - 2030” Data Book, published by Grand View Research Wi-Fi Chipset 7 Market insights The global Wireless Fidelity 7 market generated over USD 0.22 billion revenue in 2021 and is projected to expand at a CAGR of around 106.2% during the forecast. Wireless Fidelity 7 is a successor of WiFi. This is based on IEEE 802.11be standard. This is an upgrade in terms of Extremely High-Throughput (EHT) which will boost its video streaming speed and quality. With increasing demands for remote working, gaming, and video streaming, the consumer requires higher speed, stability, and connectivity. This can be used for connectivity purposes in smartphones, smart television, internet connectivity, wearable smart devices such as smartwatches, portable speakers, portable earphones, headphones, printers, intelligent refrigerators, intelligent washing machines, air conditioners, television remote, remote-operated systems, data transfer, smart charging of devices, connected automobile technology, and in the aviation industry. Apart from this, it can also be used to provide internet to various devices at a time. Qualcomm, Broadcomm, Intel Corporation, and MediaTek are key players in this sector. The Wireless Fidelity 7 compatibility will increase the speed of the internet up to 30 Gbps. It will also enhance the wireless audio quality and reduce the latency. The low latency factor would increase its application in portable speakers, earphones, AR (Augmented Reality) sets, and gaming consoles. The Wi-Fi 7 allows many devices to connect at once, which would help in better synchronization in industries. The faster data transfer and processing rate makes 8K video rendering less time-consuming. Wi-Fi Chipset Market – Global Industry Segmentation Wi-Fi Chipset Industry, By Chipset Type • Wi-Fi 6 • Wi-Fi 6E • Wi-Fi 7 Wi-Fi Chipset Industry, By Device Type • WLAN Infrastructure Devices • Consumer Devices o Smartphones/Tablets o Desktops/Laptops o AR/VR and Wearables o Smart Home Devices o Others • Wireless Cameras • Industrial IoT Devices • Connected Vehicles • Drones • Others Go through the table of content of Wi-Fi Chipset Industry Data Book to get a better understanding of the Coverage & Scope of the study. Wi-Fi Chipset Industry, By Application • Residentials/Consumers • Commercial o Enterprises/Corporates o Airports o Stadiums o Malls/Shops o Hospitals o Hotels & Restaurants o Educational Campuses o Others • Industrial o Smart Manufacturing o Energy & Utility o Oil & Gas and Mining • Smart City • Transportation & Logistics • Government & Defense • Others Wi-Fi Chipset Industry Data Book Regional Outlook • North America o U.S. o Canada o Mexico • Europe o UK o Germany o France • APAC o China o Japan o India o Singapore • Latin America o Brazil • MEA Wi-Fi Chipset Industry Data Book Competitive Landscape Market players are primarily focusing on developing new products in the market in order to cater to a large number of customers’ needs and requirements. Key players operating in the Wi-Fi Chipset industry are – • Intel Corporation • Qualcomm Technologies, Inc. • Broadcom Inc • Celeno • Mediatek Inc. • Nxp Semiconductors N.V. • Cypress Semiconductor Corporation • On Semiconductor Connectivity Solutions, Inc. • STmicroelectronics N.V. • Texas Instruments Incorporated Check out more Industry Data Books, published by Grand View Research About Grand View Research Grand View Research, U.S.-based market research and consulting company, provides syndicated as well as customized research reports and consulting services. Registered in California and headquartered in San Francisco, the company comprises over 425 analysts and consultants, adding more than 1200 market research reports to its vast database each year. These reports offer in-depth analysis on 46 industries across 25 major countries worldwide. With the help of an interactive market intelligence platform, Grand View Research helps Fortune 500 companies and renowned academic institutes understand the global and regional business environment and gauge the opportunities that lie ahead. |
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