Global AI Chip market size was valued at USD 126 billion in 2023. It is likely to grow up to USD 315.7 billion by 2030 at a CAGR of 22% during the forecast period ranging between 2025 and 2030.
The Global AI Chip Market size was valued at USD 126 billion in 2023. It is likely to grow up to USD 315.7 billion by 2030 at a CAGR of 22% during the forecast period ranging between 2025 and 2030.
Special types of hardware like TPUs, GPUs and custom ASICs are called AI Chips which are designed to perform artificial intelligence tasks quickly. These chips improve the computational power for AI applications and are extensively used in several sectors like robotics, autonomous vehicles, healthcare, smart devices to new a few. The AI chips help in making real-time decisions after analyzing large datasets and increase energy efficiency hence they are very useful for complex tasks like image recognition, natural language processingng and predictive analytics. The rising adoption of AI in different industries and developments in chip technology are the major growth factors of the global AI Chip market. Also, the developments in semiconductor technology that include the development of high-performance, energy-efficient AI processors help in faster computational tasks. This boosts AI adoption in cloud services, IoT devices and edge computing further driving the market growth. However, the growth of the market is hampered by the increasing complexity and higher consumption of energy, due to their sophistication. Despite the constraints, the market is flourishing due to the widespread adoption of AI across several industries and surge in demand.
Browse market data Tables and Figures spread through 198 Pages and in-depth TOC on AI Chip Market By Chip Type ( Application-Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), System on a Chip (SoC), and General-Purpose Graphics Processing Units (GPGPUs)), By Application ( Data Centers, Automotive, Consumer Electronics, Healthcare, Industrial, and others), By End-User (IT & Telecom, Automotive, Healthcare, Retail, Banking & Finance, and Others), By Architecture (Von Neumann Architecture, Harvard Architecture, and Neuromorphic Architecture), By Manufacturing Process ( 7nm, 5nm, 3nm, and Others), By Pricing (Low-Cost, Mid-Range, and High-End) and By Geography (North America, Europe, Asia Pacific and Middle East & Africa) - Global Forecast from 2025 to 2030.
By chip type, application-specific integrated circuits (ASICs) dominated the global ai chip market
The ASICs segment is the most dominant and is expected to grow at a faster rate during the forecast period due to the ability to offer better performance and energy efficiency for any given AI workloads.
"North America is projected to register the fastest CAGR during the forecast period, i.e., 2025-2030 in the global ai chip market.”
North America dominates the global AI Chip market due to the large number of leading technology companies in this region. It is also attributed to several research institutions, significant investments in AI development, a robust and well-developed infrastructure, favorable regulatory environment, and a more conducive ecosystem.
Some of the key players in this market are Amazon, Advanced Micro Devices, Google, Gyrfalcon Technology, Huawei Technologies, General Vision, IBM, Infineon Technologies, Intel, Microsoft, MYTHIC, Nvidia, NXP Semiconductors, Kneron, Qualcomm Incorporated, Samsung Electronics, Toshiba, Wave Computing
Recent Developments by the key players
IBM and Intel have collaborated to offer Intel Gaudi 3 AI accelerators as a service on the IBM Cloud. This service promises to improve enterprise AI scalability while prioritising security and reliability.
AlphaChip, Google DeepMind is officially calling its open-source method that uses AI to accelerate and optimize chip design. This innovative approach is used in production and transforming the landscape of computer chip manufacturing.
Infineon Technologies AG has introduced its new PSOC Edge MCU family consisting of the E81, E83, and E84 heightened for machine learning (ML) applications which deliver a scalable range of features, performance and memory possibilities.
The global ai chip market report offers a comprehensive market segmentation analysis along with estimation for the forecast period 2025–2030.
Global AI Chip Market coverage (By Value)
- Chip Type Insight and Forecast 2025 - 2030
- Application-Specific Integrated Circuits (ASICs)
- Field-Programmable Gate Arrays (FPGAs)
- System on a Chip (SoC)
- General-Purpose Graphics Processing Units (GPGPUs)
- Application Size Insight and Forecast 2025 - 2030
- Data Centers
- Automotive
- Consumer Electronics
- Healthcare
- Industrial
- Others
- End User Insight and Forecast 2025 - 2030
- IT & Telecom
- Automotive
- Healthcare
- Retail
- Banking & Finance
- Others
- Architecture Insight and Forecast 2025 - 2030
- Von Neumann Architecture
- Harvard Architecture
- Neuromorphic Architecture
- Manufacturing Process Insight and Forecast 2025 - 2030
- 7nm
- 5nm
- 3nm
- Others
- Pricing Insight and Forecast 2025 - 2030
- Low-Cost
- Mid-Range
- High-End
Geographical Segmentation
Global AI Chip Market by Region
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- Rest of Europe
- Asia-Pacific (APAC)
- China
- Japan
- South Korea
- India
- Australia
- Rest of APAC
- Latin America
- Brazil
- Argentina
- Rest of Latin America
- Middle East and Africa
- Turkey
- UAE
- Saudi Arabia
- South Africa
- Rest of MEA