The artificial intelligence chip market size has grown exponentially in recent years. It will grow from $40.21 billion in 2025 to $56.48 billion in 2026 at a compound annual growth rate (CAGR) of 40.4%. The growth in the historic period can be attributed to early development of specialized AI chips, initial adoption in banking and finance, growth in trading applications, expansion in insurance analytics, reliance on general-purpose processors.
The artificial intelligence chip market size is expected to see exponential growth in the next few years. It will grow to $223.95 billion in 2030 at a compound annual growth rate (CAGR) of 41.1%. The growth in the forecast period can be attributed to increasing deployment of AI-optimized processors, adoption of neuromorphic and deep learning asics, expansion of cloud-based AI computations, integration with enterprise data platforms, growth in healthcare and automotive AI applications. Major trends in the forecast period include development of AI-optimized chips, deployment of high-performance gpus and asics, integration of edge and cloud processing chips, expansion of multi-chip module architectures, adoption of AI-accelerated soc solutions.
The surge in smart homes and smart city demands is projected to be a significant driver for the artificial intelligence chips market. Smart cities incorporate digital technologies to enhance the lives of citizens, promoting sustainability and convenience. For instance, in 2024, according to the Association for Smarter Homes & Buildings, a Canada-based international trade association, the 2024 survey revealed that 90% of respondents reported having smart-enabled buildings, showing a substantial increase from 74% in 2023. The escalating need for smart urban living is fueling the growth of artificial intelligence chips.
Major enterprises within the artificial intelligence chip sector are pioneering innovative technological solutions, exemplified by the SN40L chip, in a strategic move to enhance their market profitability. SambaNova Systems, a United States-based company specializing in generative AI models, introduced the SN40L chip in September 2023. This chip is specifically crafted to facilitate customers in employing higher quality AI models at a reduced overall cost. Designed for large language models essential for enterprise applications, the SN40L chip can effectively power a 5 trillion parameter model. Engineered with two sophisticated memory types, the hardware combination allows users to operate larger AI models without compromising size for precision.
In August 2023, Advanced Micro Devices Inc., a prominent semiconductor company based in the United States, finalized the acquisition of Mipsology for an undisclosed sum. This strategic move by Advanced Micro Devices Inc. aims to fortify its array of products in the realm of artificial intelligence tools and solidify its competitive standing within the chip market. Mipsology, based in France, specializes in artificial intelligence software and tools.
Major companies operating in the artificial intelligence chip market are Intel Corporation, Mediatek Inc, NVIDIA Corporation, Qualcomm Technologies Inc., Advanced Micro Devices Inc, Alphabet Inc, NXP Semiconductors N.V, Micron Technology Inc, IBM Corporation, Apple Inc, Huawei Technologies Co Ltd, Mythic Inc, Samsung Electronics Co ltd., LG Corporation, Google LLC, Advanced Micro Devices Inc, Baidu, Mellanox Technologies, Xilinx Inc., Graphcore, Cerebras Systems, Habana Labs, Vinova Pte Ltd., MemryX Inc., BrainChip Holdings Ltd., NeuReality Ltd.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
Tariffs are influencing the artificial intelligence chips market by raising costs for imported high-performance GPUs, ASICs, FPGAs, and system-on-chip components required for AI computation. Banking, finance, IT, and automotive industries in regions such as North America, Europe, and Asia-Pacific are most affected due to dependence on imported semiconductor technology. Nevertheless, tariffs are encouraging domestic chip assembly, regional sourcing of semiconductor materials, and innovation in cost-efficient AI chip designs, improving supply chain resilience and supporting broader adoption of AI-accelerated computing solutions.
The artificial intelligence chips market research report is one of a series of new reports that provides artificial intelligence chips market statistics, including artificial intelligence chips industry global market size, regional shares, competitors with an artificial intelligence chips market share, detailed artificial intelligence chips market segments, artificial intelligence chips market trends and opportunities, and any further data you may need to thrive in the artificial intelligence chips industry. This artificial intelligence chips market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Artificial intelligence chips are specialized computer chips designed to optimize efficiency and speed specifically for AI-related computations. These chips excel in delivering high performance and rapid processing for AI applications, particularly in areas such as banking, finance, trading, insurance, and client engagements, facilitating the extraction of business insights at scale.
The primary types of artificial intelligence chips include GPU (Graphics Processing Unit), ASIC (Application-Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), CPU (Central Processing Unit), and other chip variants. GPUs, known for providing accelerated graphics processing, are often standalone cards plugged into the PCI Express (PCIe) bus, serving gamers with top-notch performance. The processing types encompass both edge and cloud computing. Technologies involved in these chips include System-on-Chip (SoC), System-in-Package (SiP), Multi-Chip Module, and other relevant technologies. These AI chips find applications across various domains such as natural language processing (NLP), robotics, computer vision, network security, and other specialized applications. Industries leveraging artificial intelligence chips span media and advertising, Banking, Financial Services, and Insurance (BFSI), Information Technology (IT) and telecommunications, retail, healthcare, automotive and transportation, and other sectors.North America was the largest region in the artificial intelligence chip market in 2025. The regions covered in the artificial intelligence chip market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence chip market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The artificial intelligence chips market consists of sales of application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), central processing units (CPUs), and GPUs. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 1-3 business days.
The artificial intelligence chip market size is expected to see exponential growth in the next few years. It will grow to $223.95 billion in 2030 at a compound annual growth rate (CAGR) of 41.1%. The growth in the forecast period can be attributed to increasing deployment of AI-optimized processors, adoption of neuromorphic and deep learning asics, expansion of cloud-based AI computations, integration with enterprise data platforms, growth in healthcare and automotive AI applications. Major trends in the forecast period include development of AI-optimized chips, deployment of high-performance gpus and asics, integration of edge and cloud processing chips, expansion of multi-chip module architectures, adoption of AI-accelerated soc solutions.
The surge in smart homes and smart city demands is projected to be a significant driver for the artificial intelligence chips market. Smart cities incorporate digital technologies to enhance the lives of citizens, promoting sustainability and convenience. For instance, in 2024, according to the Association for Smarter Homes & Buildings, a Canada-based international trade association, the 2024 survey revealed that 90% of respondents reported having smart-enabled buildings, showing a substantial increase from 74% in 2023. The escalating need for smart urban living is fueling the growth of artificial intelligence chips.
Major enterprises within the artificial intelligence chip sector are pioneering innovative technological solutions, exemplified by the SN40L chip, in a strategic move to enhance their market profitability. SambaNova Systems, a United States-based company specializing in generative AI models, introduced the SN40L chip in September 2023. This chip is specifically crafted to facilitate customers in employing higher quality AI models at a reduced overall cost. Designed for large language models essential for enterprise applications, the SN40L chip can effectively power a 5 trillion parameter model. Engineered with two sophisticated memory types, the hardware combination allows users to operate larger AI models without compromising size for precision.
In August 2023, Advanced Micro Devices Inc., a prominent semiconductor company based in the United States, finalized the acquisition of Mipsology for an undisclosed sum. This strategic move by Advanced Micro Devices Inc. aims to fortify its array of products in the realm of artificial intelligence tools and solidify its competitive standing within the chip market. Mipsology, based in France, specializes in artificial intelligence software and tools.
Major companies operating in the artificial intelligence chip market are Intel Corporation, Mediatek Inc, NVIDIA Corporation, Qualcomm Technologies Inc., Advanced Micro Devices Inc, Alphabet Inc, NXP Semiconductors N.V, Micron Technology Inc, IBM Corporation, Apple Inc, Huawei Technologies Co Ltd, Mythic Inc, Samsung Electronics Co ltd., LG Corporation, Google LLC, Advanced Micro Devices Inc, Baidu, Mellanox Technologies, Xilinx Inc., Graphcore, Cerebras Systems, Habana Labs, Vinova Pte Ltd., MemryX Inc., BrainChip Holdings Ltd., NeuReality Ltd.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
Tariffs are influencing the artificial intelligence chips market by raising costs for imported high-performance GPUs, ASICs, FPGAs, and system-on-chip components required for AI computation. Banking, finance, IT, and automotive industries in regions such as North America, Europe, and Asia-Pacific are most affected due to dependence on imported semiconductor technology. Nevertheless, tariffs are encouraging domestic chip assembly, regional sourcing of semiconductor materials, and innovation in cost-efficient AI chip designs, improving supply chain resilience and supporting broader adoption of AI-accelerated computing solutions.
The artificial intelligence chips market research report is one of a series of new reports that provides artificial intelligence chips market statistics, including artificial intelligence chips industry global market size, regional shares, competitors with an artificial intelligence chips market share, detailed artificial intelligence chips market segments, artificial intelligence chips market trends and opportunities, and any further data you may need to thrive in the artificial intelligence chips industry. This artificial intelligence chips market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Artificial intelligence chips are specialized computer chips designed to optimize efficiency and speed specifically for AI-related computations. These chips excel in delivering high performance and rapid processing for AI applications, particularly in areas such as banking, finance, trading, insurance, and client engagements, facilitating the extraction of business insights at scale.
The primary types of artificial intelligence chips include GPU (Graphics Processing Unit), ASIC (Application-Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), CPU (Central Processing Unit), and other chip variants. GPUs, known for providing accelerated graphics processing, are often standalone cards plugged into the PCI Express (PCIe) bus, serving gamers with top-notch performance. The processing types encompass both edge and cloud computing. Technologies involved in these chips include System-on-Chip (SoC), System-in-Package (SiP), Multi-Chip Module, and other relevant technologies. These AI chips find applications across various domains such as natural language processing (NLP), robotics, computer vision, network security, and other specialized applications. Industries leveraging artificial intelligence chips span media and advertising, Banking, Financial Services, and Insurance (BFSI), Information Technology (IT) and telecommunications, retail, healthcare, automotive and transportation, and other sectors.North America was the largest region in the artificial intelligence chip market in 2025. The regions covered in the artificial intelligence chip market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence chip market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The artificial intelligence chips market consists of sales of application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), central processing units (CPUs), and GPUs. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 1-3 business days.
Table of Contents
1. Executive Summary
2. Artificial Intelligence Chip Market Characteristics
3. Artificial Intelligence Chip Market Supply Chain Analysis
4. Global Artificial Intelligence Chip Market Trends and Strategies
5. Artificial Intelligence Chip Market Analysis of End Use Industries
7. Global Artificial Intelligence Chip Strategic Analysis Framework, Current Market Size, Market Comparisons and Growth Rate Analysis
8. Global Artificial Intelligence Chip Total Addressable Market (TAM) Analysis for the Market
9. Artificial Intelligence Chip Market Segmentation
10. Artificial Intelligence Chip Market Regional and Country Analysis
11. Asia-Pacific Artificial Intelligence Chip Market
12. China Artificial Intelligence Chip Market
13. India Artificial Intelligence Chip Market
14. Japan Artificial Intelligence Chip Market
15. Australia Artificial Intelligence Chip Market
16. Indonesia Artificial Intelligence Chip Market
17. South Korea Artificial Intelligence Chip Market
18. Taiwan Artificial Intelligence Chip Market
19. South East Asia Artificial Intelligence Chip Market
20. Western Europe Artificial Intelligence Chip Market
21. UK Artificial Intelligence Chip Market
22. Germany Artificial Intelligence Chip Market
23. France Artificial Intelligence Chip Market
24. Italy Artificial Intelligence Chip Market
25. Spain Artificial Intelligence Chip Market
26. Eastern Europe Artificial Intelligence Chip Market
27. Russia Artificial Intelligence Chip Market
28. North America Artificial Intelligence Chip Market
29. USA Artificial Intelligence Chip Market
30. Canada Artificial Intelligence Chip Market
31. South America Artificial Intelligence Chip Market
32. Brazil Artificial Intelligence Chip Market
33. Middle East Artificial Intelligence Chip Market
34. Africa Artificial Intelligence Chip Market
36. Artificial Intelligence Chip Market Competitive Landscape and Company Profiles
37. Artificial Intelligence Chip Market Other Major and Innovative Companies
40. Artificial Intelligence Chip Market High Potential Countries, Segments and Strategies
41. Appendix
Executive Summary
Artificial Intelligence Chip Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence chip market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Reasons to Purchase:
- Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
- Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on end user analysis.
- Benchmark performance against key competitors based on market share, innovation, and brand strength.
- Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis
- Report will be updated with the latest data and delivered to you along with an Excel data sheet for easy data extraction and analysis.
- All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for artificial intelligence chip? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence chip market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Scope
Markets Covered:
1) By Chip Type: GPU; ASIC; FPGA; CPU; Other Chip Types2) By Processing Type: Edge; Cloud
3) By Technology: System-On-Chip (SoC); System-In-Package (SIP); Multi-Chip Module; Other Technologies
4) By Application: Natural Language Processing (NLP); Robotics; Computer Vision; Network Security; Other Applications
5) By Industry: Media and Advertising; BFSI; IT and Telecom; Retail; Healthcare; Automotive and Transportation; Other Industries
Subsegments:
1) By GPU (Graphics Processing Unit): Consumer GPUs; Data Center GPUs; Integrated GPUs2) By ASIC (Application-Specific Integrated Circuit): Deep Learning ASICs; Neuromorphic ASICs
3) By FPGA (Field-Programmable Gate Array): Standard FPGAs; High-Performance FPGAs
4) By CPU (Central Processing Unit): General-Purpose CPUs; AI-Optimized CPUs
5) By Other Chip Types: DSP (Digital Signal Processor); RISC-V Chips; Hybrid Chips
Companies Mentioned: Intel Corporation; Mediatek Inc; NVIDIA Corporation; Qualcomm Technologies Inc.; Advanced Micro Devices Inc; Alphabet Inc; NXP Semiconductors N.V; Micron Technology Inc; IBM Corporation; Apple Inc; Huawei Technologies Co Ltd; Mythic Inc; Samsung Electronics Co ltd.; LG Corporation; Google LLC; Advanced Micro Devices Inc; Baidu; Mellanox Technologies; Xilinx Inc.; Graphcore; Cerebras Systems; Habana Labs; Vinova Pte Ltd.; MemryX Inc.; BrainChip Holdings Ltd.; NeuReality Ltd.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Artificial Intelligence Chip market report include:- Intel Corporation
- Mediatek Inc
- NVIDIA Corporation
- Qualcomm Technologies Inc.
- Advanced Micro Devices Inc
- Alphabet Inc
- NXP Semiconductors N.V
- Micron Technology Inc
- IBM Corporation
- Apple Inc
- Huawei Technologies Co Ltd
- Mythic Inc
- Samsung Electronics Co ltd.
- LG Corporation
- Google LLC
- Advanced Micro Devices Inc
- Baidu
- Mellanox Technologies
- Xilinx Inc.
- Graphcore
- Cerebras Systems
- Habana Labs
- Vinova Pte Ltd.
- MemryX Inc.
- BrainChip Holdings Ltd.
- NeuReality Ltd.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | January 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 56.48 Billion |
| Forecasted Market Value ( USD | $ 223.95 Billion |
| Compound Annual Growth Rate | 41.1% |
| Regions Covered | Global |
| No. of Companies Mentioned | 27 |
