The global AI chip market size is estimated to grow from USD 31.6 billion in the current year to USD 846.8 billion by 2035, at a CAGR of 34.84% during the forecast period to 2035.
The opportunity for AI chip market has been distributed across the following segments:
Type of Chip
- Application-Specific Integrated Circuit (ASIC)
- Central Processing Unit (CPU)
- Field Programmable Gate Array (FPGA)
- Graphics Processing Unit (GPU)
- Others
Type of Processing
- Cloud
- Edge
Type of Technology
- Multi-Chip Module
- System in Package
- System on Chip
- Others
Type of Function
- Inference
- Training
Type of Application
- Computer Vision
- Nature Language Processing
- Network Security
- Robotics
- Others
End-Users
- Agriculture
- Automotive
- Government
- Healthcare
- Human Resources
- Manufacturing
- Retail
- Others
Type of Enterprise
- Large
- Small and Medium Enterprise
Geographical Regions
- North America
- US
- Canada
- Mexico
- Other North American countries
- Europe
- Austria
- Belgium
- Denmark
- France
- Germany
- Ireland
- Italy
- Netherlands
- Norway
- Russia
- Spain
- Sweden
- Switzerland
- UK
- Other European countries
- Asia
- China
- India
- Japan
- Singapore
- South Korea
- Other Asian countries
- Latin America
- Brazil
- Chile
- Colombia
- Venezuela
- Other Latin American countries
- Middle East and North Africa
- Egypt
- Iran
- Iraq
- Israel
- Kuwait
- Saudi Arabia
- UAE
- Other MENA countries
- Rest of the World
- Australia
- New Zealand
- Other countries
AI Chip Market: Growth and Trends
According to Forbes, 64% of companies believe that artificial intelligence (AI) will enhance their business productivity. Additionally, projections suggest that by 2030, one in ten vehicles on the road will be self-driving. In this context, AI chips are driving the future of AI and robotics through increased efficiency and innovation. These AI chips are specialized integrated circuits designed to execute complex algorithmic tasks related to AI. It is important to note that there are a variety of applications for AI chips across different sectors, including healthcare, finance, automotive, and telecommunications. Some of the key benefits of utilizing these chips include improved operational efficiency, rapid real-time responses, and the ability to process vast amounts of data quickly and effectively. Moreover, the AI chips provide a range of advanced capabilities such as natural language processing, image recognition, and predictive analytics. Notably, the adoption of AI in major sectors is rising, driven by the fast expansion of the internet and digital technologies. Interestingly, ChatGPT managed to attract over 1 million users within just five days, highlighting the growing acceptance of AI.
The AI chip market is becoming an important element in the worldwide transition towards innovation and digital transformation, aiming for greater technological efficiency in AI. Natural language processing and machine learning have been crucial in realizing its full potential, enhancing power efficiency and response speed. Further, cutting-edge GPUs from NVIDIA and Intel's Gaudi processors, along with edge AI, are pivotal in facilitating real-time decision-making in this modern landscape. Recently, in September 2024, Cerebras Systems introduced its latest AI chip, the Cerebras Inference, which claims to be 20 times faster than NVIDIA's GPUs and features over 4 trillion transistors on a single chip.
Driven by the ongoing technological advancements and increasing interest from investors, the global AI chip market is expected to grow at a healthy pace during the forecast period.
AI Chip Market: Key Segments
Market Share by Type of Chip
Based on the type of chip, the global AI chip market is segmented into application-specific integrated circuit (ASIC), central processing unit (CPU), field programmable gate array (FPGA), graphics processing unit (GPU) and others. According to our estimates, currently, central processing unit (CPU) segment captures the majority share of the market. This can be attributed to extensive usage and the significant installed base of CPUs in data centers and edge devices. However, application-specific integrated circuit (ASIC) segment is anticipated to grow at a higher CAGR during the forecast period.
Market Share by Type of Processing
Based on the type of processing, the AI chip market is segmented into cloud and edge. According to our estimates, currently, cloud segment captures the majority share of the market. This can be attributed to its capability to satisfy high-performance needs, offer scalability and flexibility, facilitate data centralization, and ensure cost efficiency. However, edge segment is anticipated to grow at a higher CAGR during the forecast period.
Market Share by Type of Technology
Based on the type of technology, the AI chip market is segmented into multi-chip module, system in packaging, system on chip and others. According to our estimates, currently, system on chip segment captures the majority share of the market; further, this segment is anticipated to grow at a higher CAGR in the future. This can be attributed to its capability to combine multiple components into a single chip, which is especially beneficial for AI applications.
Market Share by Type of Function
Based on the type of function, the AI chip market is segmented into inference and training. According to our estimates, currently, inference segment captures the majority share of the market; further, this segment is anticipated to grow at a higher CAGR in the future. This can be attributed to the rising use of AI to improve operations and enhance customer experience. Data centers are expanding their AI capabilities, which is increasing the demand for high-performance inference chips.
Market Share by Type of Application
Based on the type of application, the AI chip market is segmented into computer vision, natural language processing, network security, robotics and others. According to our estimates, currently, computer vision segment captures the majority share of the market further, this segment is anticipated to grow at a higher CAGR in the future. This can be attributed to its essential function in enhancing automation and efficiency across numerous industries. The growing dependence on AI-driven systems for applications like quality control, surveillance, and real-time data analysis has resulted in increased demand for specialized chips capable of processing complex visual data.
Market Share by End-users
Based on the end-users, the AI chip market is segmented into agriculture, automotive, government, healthcare, human resources, manufacturing, retail and others. According to our estimates, currently, healthcare segment captures the majority share of the market. This can be attributed to the rising demand for patient data management, medical imaging analysis, and diagnostic applications that utilize AI chip technology, enhancing efficiency and accuracy in healthcare delivery. However, automotive segment is anticipated to grow at a higher CAGR during the forecast period.
Market Share by Type of Enterprise
Based on the type of enterprise, the AI chip market is segmented into large and small and medium enterprises. According to our estimates, currently, large enterprise segment captures the majority share of the market. This can be attributed to their considerable financial resources, extensive research and development capabilities, established presence in the market, and commitment to business growth. However, small and medium enterprise segment is anticipated to grow at a higher CAGR during the forecast period
Market Share by Geographical Regions
Based on the geographical regions, the AI chip market is segmented into North America, Europe, Asia, Latin America, Middle East and North Africa, and Rest of the World. According to our estimates, currently, North America captures the majority share of the market. This can be attributed to the concentration of major technology firms, significant investments in artificial general intelligence research and development, along with a well-established infrastructure. However, market share in Asia is anticipated to grow at a higher CAGR during the forecast period.
Sample Players in AI Chip Market Profiled in the Report include:
- Advanced Micro Devices
- Amazon
- General Vision
- Gyrfalcon Technology
- Huawei Technologies
- IBM
- Infineon Technologies
- [external URL]
- Kneron
- Microsoft
- MYTHIC
- [external URL]
- NXP Semiconductors
- Qualcomm Incorporated
- Samsung Electronics
- Toshiba
- Wave Computing
AI Chip Market: Research Coverage
The report on the AI chip market features insights on various sections, including:
- Market Sizing and Opportunity Analysis: An in-depth analysis of the AI chip market, focusing on key market segments, including type of chip, type of processing, type of technology, type of function, type of application, end-users, type of enterprise and geographical regions.
- Competitive Landscape: A comprehensive analysis of the companies engaged in the AI chip market, based on several relevant parameters, such as year of establishment, company size, location of headquarters, ownership structure.
- Company Profiles: Elaborate profiles of prominent players engaged in the AI chip market, providing details on location of headquarters, company size, company mission, company footprint, management team, contact details, financial information, operating business segments, AI chip portfolio, moat analysis, recent developments, and an informed future outlook.
- Megatrends: An evaluation of ongoing megatrends in AI chip industry.
- Patent Analysis: An insightful analysis of patents filed / granted in the AI chip domain, based on relevant parameters, including type of patent, patent publication year, patent age and leading players.
- Recent Developments: An overview of the recent developments made in the AI chip market, along with analysis based on relevant parameters, including year of initiative, type of initiative, geographical distribution and most active players.
- Porter’s Five Forces Analysis: An analysis of five competitive forces prevailing in the AI chip market, including threats of new entrants, bargaining power of buyers, bargaining power of suppliers, threats of substitute products and rivalry among existing competitors.
- SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter.
Key Questions Answered in this Report
- How many companies are currently engaged in this market?
- Which are the leading companies in this market?
- What is the significance of edge AI in the AI chip market?
- What factors are likely to influence the evolution of this market?
- What is the current and future market size?
- What is the CAGR of this market?
- How is the current and future market opportunity likely to be distributed across key market segments?
- Which type of AI chip is expected to dominate the market?
Reasons to Buy this Report
- The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants.
- Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies.
- The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects.
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Table of Contents
SECTION I: REPORT OVERVIEW
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Advanced Micro Devices
- Amazon
- General Vision
- Gyrfalcon Technology
- Huawei Technologies
- IBM
- Infineon Technologies
- Intel
- Kneron
- Microsoft
- MYTHIC
- Nvidia
- NXP Semiconductors
- Qualcomm Incorporated
- Samsung Electronics
- Toshiba
- Wave Computing
Methodology
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