USD 15.36 billion
Report ID:
SQMIG45K2081 |
Region:
Global |
Published Date: June, 2024
Pages:
197
|Tables:
132
|Figures:
77
Artificial Intelligence (AI) Chipsets Market size was valued at USD 15.36 billion in 2022 and is poised to grow from USD 21.05 billion in 2023 to USD 262.78 billion by 2031, growing at a CAGR of 37.1% during the forecast period (2024-2031).
The AI chipset market is being propelled by increasing data traffic and the need for higher computing power. The growing trend of autonomous vehicles and the rising adoption of parallel computing in AI data centers, increases acceptance of AI technology, such as chipsets into these fields. For instance, AI chipsets in the auto industry make driverless cars that reach the L5 level of autonomous technology. AI is becoming an integral part of consumer electronics including everything. This growth in the semiconductor industry is accompanied by new opportunities. The ability to deal with a growing volume of data is a significant factor driving the increase in the market size of AI chipsets. Moreover, the evolution of human-aware AI systems is another factor that contributes to the market growth. On the other hand, skill deficiency and the absence of standards and protocols can limit market growth. Companies like Amazon and Google are already pursuing the silicon project. They are also incorporating new technologies. Based on skyquest in-depth analysis, it is found that over 50% of major US based companies with more than 5000 workforces currently use AI and its product. This number grows to 60% for companies having double workforce. This trend showcases the expansion of the AI chipset market in the upcoming year.
US Artificial Intelligence (AI) Chipsets Market is poised to grow at sustainable CAGR for the next forecast year.
Global Market Size
USD 15.36 billion
Largest Segment
Cloud AI Computing
Fastest Growth
Edge AI Computing
Growth Rate
37.1% CAGR
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The AI chipset market can be segmented by hardware, computing technology, technology, and end user. Based on hardware, the market can be divided into Processor Graphic Processing Unit GPU, Application-Specific Integrated Circuit (ASIC), Field Programmable Array (FPGA), Central Processing Unit (CPU), Digital Signal Processor (DSP), Microcontroller (MCU)), Memory, Network (Interconnects and Ethernet Adapters). Based on computing technology, the market is sub-segmented into edge AI computing and cloud AI computing. Based on technology, the market is sub-segmented into Machine Learning (Deep learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning, and others), Natural Language Processing, Context-Aware Computing, Computer Vision, Predictive Analysis. Based on function, the market is segmented into training and inference. Based on end user, the market is sub-segmented into consumer electronics, automotive and transportation, manufacturing, agriculture, retail, healthcare, cybersecurity, human resources, marketing, law, fintech, government, and others. Based on region the global Artificial Intelligence (AI) Chipset Market is segmented into North America, Europe, Asia-Pacific, South America, and MEA.
Artificial Intelligence (AI) Chipset Market Analysis by Computing Technology
Cloud AI computing has the largest market share in AI chipset market in 2023, the year when technology had become widely used in training workload-based chipsets. Server consolidation reduced operational costs, better infrastructure management, and the growing adoption of cloud-based computing in data centers are the driving forces behind the growth of the cloud AI computing segment. For instance, 70% of companies get their AI capabilities through cloud-based software, and 65% create AI applications using cloud services. The manufacturers of artificial intelligence microprocessors-like Intel, Google Inc., NVIDIA, and Advanced Micro Devices, Inc. carry out both cloud computing and edge computing. The segment of artificial intelligence based on cloud computing is generating higher revenue for these companies.
In contrast, edge AI computing exhibit to be fastest growing segment with a substantial amount incorporated for many advanced products such as autonomous automobiles, smartphones, and security devices, the deployment of chips is shifting toward edge computing. Today, most of the artificial chipsets operating at the edge are used for inference purposes, while the artificial intelligence chipsets for edge are in the early phase of development. Several large players are competing in the market with AI chipsets available both on cloud and edge, providing the example of Google Inc., Baidu Inc., and Graphcore. These firms provide AI chipsets placed on the network for training purposes and deployed on the edge for inference purposes.
Artificial Intelligence (AI) Chipset Market Analysis by End User
Consumer electronics has the largest market share in AI chipset market in 2023. The demand from this segment will keep on increasing since, AI chips, are meticulously engineered for AI-centric tasks, such as voice recognition, linguistic translation, image processing, and self-driving vehicles. The infusion of AI-enhanced technology has profoundly transformed the consumer electronics sector, molding customer anticipations, revolutionizing business frameworks, and producing novel market avenues. As individuals grow increasingly accustomed to intelligent devices in their quotidian existence, their expectations and desires for intuitive electronics escalate. Their specialized architecture renders them typically for data centers, AI research laboratories, and integrated systems in consumer electronics that leverage AI capabilities.
On the other hand, automotive and transportation exhibited fastest growth in the field of AI and its product. Based on our analysis, it is found that United States holds the highest disposable income with an average of $42,800 per year. Furthermore, rise in disposable income is directly linked with purchasing power of consumer in automotive and transportation. From this observation it is quite evident that the automotive industry will grow and simultaneously the demand for AI chipset will increase. AI chipsets are used in the automotive industry to enable vehicles to perceive and respond to their surroundings, which can improve safety and convenience. Additionally, AI chipsets are used in a variety of automotive systems, including Advanced driver assistance systems (ADAS), Autonomous driving, and In-vehicle entertainment.
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The North America market has a market share of more than 39%. This is because the number of the headquartered US based tech giants in the market for AI chipsets. NA zone is full of highly marketable population with high purchasing power, continuous investments in infrastructure and governmental interest in production AI apps. For instance, the budget allocated for AI R&D by the federal government has been raised over the past few years in the National AI R&D Strategic Plan. This initiative is designed to increase the availability and the integrity of the cyber infrastructure, which is considered a vital component of the nation's digital infrastructure. The dominance of the market for AI chipsets manufacturing by the American corporations is reinforced by the fact that most of the players in this segment are based in the U.S. The major participants are NVIDIA Corporation, Intel Corporation, Micron Technology, Qualcomm Technologies, EPIC, IBM Corporation, as well as Google Inc., Microsoft Corporation, and Amazon Web Services, Inc. The competition, however, the industry in North America has seen an increased acceptance of AI technology, the industry has employed AI in different sectors like automotive, manufacturing, healthcare, retail and advertising among others. The AI chipsets market gets a chance because of fast increase of AI-reasonable applications.
Asia-Pacific is expected to witness the fastest growth in the global AI chipset market in the coming years. The region is witnessing an increasing adoption of AI technology across various industries, including healthcare, automotive, and manufacturing. Additionally, the region is experiencing a surge in investments in AI startups and research, which is expected to drive the growth of the market. Countries such as China, Japan, and South Korea are leading the way in AI development, with significant investments being made in research and development, infrastructure, and talent development. As a result, the Asia-Pacific region is poised to become a major player in the global AI chipset market.
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Artificial Intelligence (AI) Chipset Market Drivers
Growing Demand for Autonomous Vehicles is Expanding the Market:
5G Technology Market Stimulates the Growth of AI Chipset Market:
Artificial Intelligence (AI) Chipset Market Restraints
Shortage of AI hardware professionals and skilled workforce:
High cost of AI chipsets
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The global AI chipset market is experiencing exponential growth, driven by the increasing integration of artificial intelligence across various sectors such as automotive, healthcare, consumer electronics, and industrial automation. Leading players dominate the landscape, leveraging their expertise in GPU and CPU technologies to develop high-performance AI chipsets. Additionally, emerging players are intensifying competition with their specialized AI chipsets tailored for mobile devices, edge computing, and cloud infrastructure. Strategic partnerships, acquisitions, and investments in R&D are key strategies employed by companies to maintain their competitive edge in this rapidly evolving market landscape.
Artificial Intelligence (AI) Chipset Market Top Player’s Company Profiles
Artificial Intelligence (AI) Chipset Market Recent Developments
In April 2024, Intel unveiled that its upcoming processor, Gaudi 3, will become broadly accessible in the third quarter of this year. While earlier versions of Intel's Gaudi AI chipsets did not capture the anticipated market share, Intel anticipates the new iteration to have a more substantial impact. This chipset is engineered to deliver enhanced performance, facilitating both the training of AI systems and the execution of finalized software.
In January 2024, Rebellions announced to launch its ATOM chip in South Korea. The chip purposes to compete with Nvidia Corp., positioning itself as the latest Korean artificial intelligence technology hardware contender.
In September 2023, Intel declared its inaugural artificial intelligence-equipped chipset for personal computers, marking the USA chipmaker's entry into the artificial intelligence-powered PC competition. The move is expected to revitalize the PC market and reclaim global semiconductor industry leadership.
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Co-relates and Analyses the Data collected by means of Primary Exploratory Research backed by the robust Secondary Desk research.
According to our analysis, we found that AI chipset market is following an upward journey but with the development of the AI that impact the industries. As the domain of deep learning algorithms takes off and the number of AI-powered apps rises, the call for hardware with high processing capabilities designed for complex AI tasks has also escalated. As highlights, the main players have exerted emphasis on investing a lot of resources in the research and development sector to ensure higher performance, energy efficiency and scalability of AI chipsets, which is equally fueling the demand for the market. Moreover, on-going growth in AI technology embedded devices like smartphones, and autonomous vehicles is perpetually expanding the market. On the other hand, building and maintaining these systems can be quite costly and there can also be some regulatory limitations, which will somewhat affect market penetration. In the leading place, the AI chipset market will have massive growth in the coming years. The players in the chipset industry will have lucrative opportunities to get the profits they need from this benevolent AI ecosystem.
Report Metric | Details |
---|---|
Market size value in 2022 | USD 15.36 billion |
Market size value in 2031 | USD 262.78 billion |
Growth Rate | 37.1% |
Base year | 2023 |
Forecast period | 2024-2031 |
Forecast Unit (Value) | USD Billion |
Segments covered |
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Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
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Executive Summary
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Market size
KEY MARKET INSIGHTS
COVID IMPACT
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Market Size by Region
KEY COMPANY PROFILES
For the Artificial Intelligence (AI) Chipsets Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Artificial Intelligence (AI) Chipsets Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
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Report ID: SQMIG45K2081