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Artificial Intelligence Chipset Market Share

ID: MRFR//3552-CR | 247 Pages | Author: Shubham Munde| December 2019

Edge computing and artificial intelligence (AI) represent powerful technologies, each with significant potential across diverse applications, particularly in the development of Internet of Things (IoT) systems. The convergence of AI with edge computing holds promise for enhancing various fields, such as autonomous vehicles and predictive maintenance, ultimately amplifying the capabilities of IoT systems. Notably, strategic collaborations, like the one between Microsoft Corporation and Spektacom, underscore the practical implementation of AI and edge computing. Together, they are working on a system designed to analyze and gain insights into the batting styles of different cricket players during matches. This innovative product leverages IoT edge devices and AI-powered analytics to provide essential data, showcasing the immense opportunities arising from the integration of AI with edge computing within the global artificial intelligence (AI) chipset market.

One compelling application of this integration is evident in the realm of sports analytics. Microsoft Corporation and Spektacom's collaborative effort is a testament to how AI and edge computing can be harnessed to offer real-time insights, revolutionizing the understanding of sports performance. By deploying IoT edge devices and utilizing AI algorithms, the system can provide detailed analyses of cricket players' batting styles, showcasing the potential for similar applications in other sports and industries.

Moreover, the concept of human-aware AI systems has emerged as a paradigm shift in the field of artificial intelligence. Unlike traditional AI systems that operate independently, often excluding human input, human-aware AI systems are designed to foster collaboration between machines and humans, facilitating seamless interaction. This approach addresses concerns about AI systems replacing humans, emphasizing a complementary relationship.

However, the implementation of human-aware AI systems introduces its own set of challenges, particularly in modeling the system and aligning it with human mental models. Overcoming this challenge requires the application of various AI technologies, including machine learning, deep learning, and neural networks. The effective utilization of these technologies, in turn, demands robust and high-performance hardware capable of supporting the computational demands of complex AI algorithms. AI chipsets, such as Graphics Processing Units (GPUs), Field-Programmable Gate Arrays (FPGAs), and Application-Specific Integrated Circuits (ASICs), play a pivotal role in providing the necessary computing power for the efficient functioning of human-aware AI systems.

In conclusion, the integration of AI with edge computing demonstrates its versatility in applications ranging from sports analytics to human-aware AI systems. As industries continue to explore innovative solutions, the demand for advanced AI chipsets becomes paramount. The hardware capabilities offered by AI chipsets will be instrumental in realizing the full potential of AI applications, driving advancements in technology and shaping the future of human-machine collaboration.

Covered Aspects:

Report Attribute/Metric Details
Base Year For Estimation 2022
Historical Data 2018- 2022
Forecast Period 2023-2032
Growth Rate 39.18% (2023-2032)

Artificial Intelligence Chipset Market Highlights:

Artificial Intelligence Chipset Market Trends
Artificial Intelligence Chipset Market Analysis
Artificial Intelligence Chipset Market Share
Artificial Intelligence Chipset Companies

Global Artificial Intelligence (AI) Chipset Market Overview:


The Artificial Intelligence (AI) Chipset Market size was valued at USD 2.9 Billion in 2023. The artificial intelligence (AI) chipset industry is projected to grow from USD 4.0362 Billion in 2024 to USD 41.1 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 33.65% during the forecast period (2024 - 2032). Increased investment in R&D activities to discover advanced AI chips and increased demand for surveillance cameras for official, institutional, or home use are the key market drivers enhancing the market growth.


Artificial Intelligence (AI) Chipset Market Overview


Source: Primary Research, Secondary Research, MRFR Database and Analyst Review


Artificial Intelligence (AI) Chipset Market Trends




  • The growing adoption of cloud-based solutions among firms is driving the market growth




Market CAGR for artificial intelligence (AI) chipsets is being driven by the advancement of cloud technology would create opportunities for major players in the artificial intelligence chipsets market. The increasing data center establishment globally in various sectors, including IT & telecom, automotive, etc., is likely to propel the demand for Al chipsets based on the cloud. Moreover, companies such as Alibaba Group Holding Limited, Intel Corporation, NVIDIA Corporation, and others offer the cloud-based Al chipset. These key players are concentrating on launching advanced cloud-based solutions to handle mega file storage and enormous business data. For example, in September 2019, Alibaba Group Holding Limited established an artificial intelligence (AI)-based chipset - "Hanguang 800," that delivers advanced computing capacity on the cloud. This chip can accelerate machine learning assignments and improves the consumer experience.


Additionally, the growing penetration of e-commerce and social media leads to a wide growth in data volume. Owing to rapid growth in the volume of data, the requirement for high-speed processors has also enhanced, which is positively influencing the growth of the market. The chipset addresses the requirement for faster processing due to enabled machine learning. Individuals' inclination towards computer vision and machine learning devices drives tech giants to invest in high-speed processor development.


Furthermore, quantum computing technology is widely adopted by firms globally to solve complex problems and perform analytical calculations. For instance, in October 2019, Google LLC's Sycamore quantum computer was the fastest computer that could work a specific task in around 200 seconds. Quantum computers are enabled with technologies including artificial intelligence, computer vision, machine learning, big data, AR/VR, and others. Thus, the emergence of quantum computing is anticipated to drive the growth of the artificial intelligence (AI) chipset market revenue.


Additionally, the application technologies for AI are autonomous vehicles, smart healthcare, smart homes, intelligent robots, smart cities, smart finance, intelligent hardware, self-service store, intelligent security, and intelligent education. AI technology is multifaceted as it runs via the algorithm mechanism, chipset type, application, and computing technology. The basic applications that run over AI are related to image/ video, natural language processing, sound and speech, device control, and high-volume computing. The chipsets help run these applications at the edge.


Artificial Intelligence (AI) Chipset Market Segment Insights:


Artificial Intelligence (AI) Chipset Component Insights


The Artificial Intelligence (AI) Chipset Market segmentation, based on components, includes hardware {processors [CPU, GPU, ASIC, and FPGA], memory, and network}, and software. The hardware segment dominated the market, accounting for 35% of market revenue (78.48 Billion). In developing economies, category growth is driven by the growing adoption of GPUs at edge devices, enhanced 3D gaming, AR/VR, virtual assistance, and others. However, software is the fastest-growing category due to rising business process automation and digitization.


Artificial Intelligence (AI) Chipset Technology Insights


The Artificial Intelligence (AI) Chipset Market segmentation, based on technology, includes machine learning, natural language processing, and others. The machine learning category generated the most income due to the growing adoption of cloud-based assistance, proliferation in data generation, technological advancement, and rising unstructured data. However, natural language processing is the fastest-growing category owing to the growing demand for AI for the automation of several tasks across the automotive, consumer electronics, and manufacturing industries.


Figure 1: Artificial Intelligence (AI) Chipset Market, by Technology, 2022 & 2032 (USD Billion)


Artificial Intelligence (AI) Chipset Market, by Technology, 2022 & 2032


Source: Primary Research, Secondary Research, MRFR Database and Analyst Review


Artificial Intelligence (AI) Chipset Application Insights


The Artificial Intelligence (AI) Chipset Market segmentation, based on application, includes smartphones, smart wearables, robotics, automobile, security systems, and medical imaging. The smartphone segment dominated the market, accounting for major market revenue. In developing economies, category growth is driven by an increased focus on developing smartphone AI chips. However, security systems are the fastest-growing category as they help reduce risks and prevent loss and damage.


Artificial Intelligence (AI) Chipset Verticals Insights


The Artificial Intelligence (AI) Chipset Market segmentation, based on verticals, includes consumer electronics, automotive, retail, IT & telecommunication, media & entertainment, healthcare, and BFSI. The consumer electronics category generated the most income (70.4%) owing to an increasing number of AI chipsets deployments in mobile phones and other smart devices. However, automotive is the fastest-growing category due to the deployment of artificial intelligence (AI) chipsets in autonomous vehicles for inference.


Artificial Intelligence (AI) Chipset Regional Insights


By region, the study delivers market insights into North America, Europe, Asia-Pacific and the Rest of the World. The North American artificial intelligence (AI) chipset market will dominate this market, owing to increasing government investments in R&D and the availability of established IT infrastructure, which will boost the market growth in this region. Further, the US artificial intelligence (AI) chipset market held the largest market share, and the Canadian artificial intelligence (AI) chipset market was the fastest-growing market in the North American region.


Further, the major countries studied in the market report are The US, Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.


Figure 2: Artificial Intelligence (AI) Chipset Market SHARE BY REGION 2022 (USD Billion)


Artificial Intelligence (AI) Chipset Market SHARE BY REGION 2022


Source: Primary Research, Secondary Research, MRFR Database and Analyst Review


Europe's artificial intelligence (AI) chipset market accounts for the second-largest market share due to the growing adoption of AI technology in various industries, including automotive, manufacturing, healthcare, retail, and advertising. Further, the German artificial intelligence (AI) chipset market held the largest market share, and the UK artificial intelligence (AI) chipset market was the fastest-growing market in the European region.


The Asia-Pacific artificial intelligence (AI) chipset market is expected to grow at the fastest CAGR from 2023 to 2032. This is owing to the rising investments in Al technology. The manufacturing sector is adopting the latest and modern methods of production, which has supported the deployment of Al chips. Moreover, China’s artificial intelligence (AI) chipset market held the largest market share, and the Indian artificial intelligence (AI) chipset market was the fastest-growing market in the Asia-Pacific region.


Artificial Intelligence (AI) Chipset Key Market Players & Competitive Insights


Leading market players are investing huge amounts in R&D to improve their product lines, which will assist the artificial intelligence (AI) chipset market to grow even more. Market participants are also undertaking multiple strategic activities to enhance their global footprint, with important market developments including new product launches, mergers and acquisitions, contractual agreements, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, the artificial intelligence (AI) chipset industry must offer cost-effective items.


Manufacturing locally to minimize operational costs is one of the key business tactics used by manufacturers in the global artificial intelligence (AI) chipset industry to benefit clients and increase the market sector. Major players in the artificial intelligence (AI) chipset market, including IBM Corporation (US), Micro Technology (US), Samsung Electronics Co. Ltd (South Korea), Advanced Micro Devices (US), Huawei Technologies Co. Ltd (China), and others, are attempting to increase market demand by investing in research and development operations.


Intel Corp designs and develops technology products and components. The firm's product portfolio comprises microprocessors, chipsets, flash memory, graphic, network and communication, embedded processors and microcontrollers, and conferencing products. It also offers motherboards, solid-state drives, server products, wireless connectivity products and software and applications. Intel markets its products and solutions to industrial and communications equipment manufacturers, original equipment manufacturers, and original design manufacturers. The firm's products find applications in notebooks, servers, tablets and desktops. Intel markets processors under Core, Atom, Celeron, Quark, Pentium, Xeon, and Itanium brand names. In March 2021, Intel collaborated with the Central Board of Secondary Education (CBSE), aiming to introduce the 'AI For All' initiative to create a basic understanding of artificial intelligence across various industry verticals in India.


NVIDIA Corp is a designer and developer of graphics, central, and system-on-a-chip units. The company offers its products to gaming, professional visualization, data center, and automotive markets. It also delivers solutions for Artificial Intelligence and data science, design and visualization, data center and cloud computing, edge computing, high-performance computing, and self-driving vehicles. NVIDIA offers gamers, professional graphic designers, researchers, and developers products through GeForce NOW, Quadro, GeForce, SHIELD, vGPU, DOCA, JESTON, and Bluefield brand names. The company serves various sectors: architecture, engineering, construction, internet, cybersecurity, energy, financial services, healthcare and life sciences, education, gaming, manufacturing, media and entertainment, retail, robotics, telecommunication, and transportation. In January 2022, Nvidia and AMD announced that the U.S. government had placed new restrictions to cut China and Russia off from high-end AI chips.


Key Companies in the Artificial Intelligence (AI) Chipset market include




  • NVIDIA Corporation




  • Intel Corporation




  • Xilinx, Inc.




  • Samsung Electronics Co., Ltd.




  • Micron Technology, Inc.




  • Qualcomm Technologies, Inc.




  • International Business Machines Corporation




  • Google Inc.




  • Microsoft Corporation




  • Amazon Web Services




  • Advanced Micro Devices, Inc.




  • General Vision, Inc.




Artificial Intelligence (AI) Chipset Industry Developments


May 2022: Intel introduced two new deep-learning processors for instruction and inference: Habana Gaudi2 and Habana GrecoTM. These innovative processors fill a market void by offering clients high-efficiency, high-performance, deep learning computing options for simultaneous training applications and inference installations in the data center and also reducing the AI obstacle to the entrance to businesses of all sizes.


Artificial Intelligence (AI) Chipset Market Segmentation:


Artificial Intelligence (AI) Chipset Component Outlook




  • Hardware







    • Processors









      • CPU




      • GPU




      • ASIC




      • FPGA









    • Memory




    • Network







  • Software




Artificial Intelligence (AI) Chipset Technology Outlook




  • Machine Learning




  • Natural Language Processing




  • Others




Artificial Intelligence (AI) Chipset Application Outlook




  • Smartphones




  • Smart Wearable




  • Robotics




  • Automobile




  • Security Systems




  • Medical Imaging




Artificial Intelligence (AI) Chipset Verticals Outlook




  • Consumer Electronics




  • Automotive




  • Retail




  • IT & Telecommunication




  • Media & Entertainment




  • Healthcare




  • BFSI




Artificial Intelligence (AI) Chipset Regional Outlook




  • North America




    • US




    • Canada






  • Europe




    • Germany




    • France




    • UK




    • Italy




    • Spain




    • Rest of Europe






  • Asia-Pacific




    • China




    • Japan




    • India




    • Australia




    • South Korea




    • Australia




    • Rest of Asia-Pacific






  • Rest of the World




    • Middle East




    • Africa




    • Latin America





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