Artificial Intelligence (AI) Chip Market Size Worth USD 1.10 Trillion By 2035 as High-Performance and Energy-Efficient Chips Gain Traction



Artificial Intelligence (AI) Chip Market Size Worth USD 1.10 Trillion By 2035 as High-Performance and Energy-Efficient Chips Gain Traction
The global artificial intelligence (AI) chip market size is expected to be worth USD 1.10 trillion by 2035, up from USD 121.73 billion in 2026, with a robust CAGR of 27.88% from 2026 to 2035. The growth in Edge AI and the transition towards ASICs drive market growth.

GlobeNewswire

February 05, 2026


Ottawa, Feb. 05, 2026 (GLOBE NEWSWIRE) — According to Precedence Research, the global artificial intelligence chip market size was valued at USD 94.44 billion in 2025 and is estimated to grow from USD 121.73 billion in 2026 to approximately USD 1,104.68 billion by 2035. The AI chip market is poised to grow at a strong CAGR of 27.88% from 2026 to 2035.


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Artificial Intelligence (AI) Chip Market Key Points

  • North America dominated the global market with the largest revenue share of 44% in 2025.
  • By technology, the machine learning segment led the global market in 2025.
  • By chip type, the CPU segment emerged as the leading contributor to market revenue in 2025.
  • By processing type, the edge segment accounted for the largest revenue share of 75% in 2025.
  • By function, the inference segment is experiencing significant growth.
  • By end users, the BFSI segment held the maximum revenue share and is expected to sustain growth from 2026 to 2035.

What is an Artificial Intelligence (AI) Chip?

The artificial intelligence (AI) chip market growth is driven by the increasing autonomous vehicle use, rising investment in AI startups, focus on real-time decision making, growing industrial AI adoption, expansion of data, and the growth in edge AI.

An AI Chip is a specialized processor that is developed to manage complex artificial intelligence tasks. The various types of AI chips are ASICs, GPUs, and Field-Programmable Gate Arrays. They offer high memory bandwidth, parallel processing, and specialized architecture. An AI chip offers benefits like superior performance, low total cost of ownership, energy efficiency, high scalability, and reduced latency. It is widely used in applications like data centers, edge computing, smartphones, autonomous vehicles, healthcare, cloud services, and personal devices.

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Government Initiatives for Artificial Intelligence (AI) Chip

  1. IndiaAI Compute Pillar: Establishes a national AI computing infrastructure with over 10,000 GPUs to provide affordable high-performance computing to startups and researchers.
  2. Design Linked Incentive (DLI) Scheme (India): Offers financial incentives and design infrastructure support to domestic startups for developing AI-specific semiconductor designs and intellectual property.
  3. CHIPS and Science Act (USA): Provides roughly $52.7 billion in subsidies to revitalize domestic semiconductor manufacturing and accelerate the research and development of next-generation AI hardware.
  4. European Chips Act: Mobilizes EUR43 billion in public and private investments to double the EU's global market share in semiconductors and secure the supply chain for advanced AI chips.
  5. Future Chips Program (South Korea): Invests heavily in the development of low-power AI semiconductors and “processing-in-memory” (PIM) chips to dominate the global high-bandwidth memory market.

Key Trends of the Artificial Intelligence (AI) Chip Market

  • Shift toward Domain-Specific Architecture: The industry is moving away from general-purpose chips like traditional CPUs to custom-designed Application-Specific Integrated Circuits (ASICs) and other specialized accelerators that are optimized for specific AI workloads like natural language processing or computer vision to achieve greater efficiency and performance.
  • Increasing Demand for Edge AI Processing: There is a rapid growth in the need to process AI tasks locally on devices such as smartphones, autonomous vehicles, and IoT sensors (at the “edge”) to reduce latency, improve data privacy, and ensure real-time decision-making without relying solely on cloud connectivity.

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Artificial Intelligence (AI) Chip Market Opportunity

Expanding Autonomous Systems Surges Demand for AI Chip

The increasing use of autonomous systems across various industrial applications and the transition to software-defined vehicles increase demand for AI chips. The growing development of self-driving cars and the increasing number of autonomous mobile robots increase demand for AI chips. The shift towards advanced driver assistance systems and the increasing automation in industries increases the adoption of AI chips.

The growing development of autonomous drones and the focus on real-time data processing increase the adoption of AI chips. The popularity of V2X communication and the focus on lowering traffic congestion increase demand for AI chips. The increasing use of autonomous systems to analyze crop health and the rising utilization of autonomous robots in healthcare infrastructure increases adoption of AI chips. The expanding autonomous systems create an opportunity for the growth of the AI chip market.

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Artificial Intelligence (AI) Chip Market Report Coverage

Report Metrics Details
Market Size in 2025 USD 94.44 Billion
Market Size in 2026 USD 121.73 Billion
Market Size by 2035 USD 1,104.68 Billion
Growth Rate from 2026 to 2035 CAGR of 27.88%
Largest Market North America
Fastest Growing Market Europe
Base Year 2025
Forecast Period 2026 to 2035
Segments Covered Technology, Chip Type, Processing Type, Function, End-Users and Region
Regions Covered North America, Europe, Asia-Pacific, Latin America and Middle East & Africa


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Artificial Intelligence (AI) Chip Market Regional Insights

How North America Dominates the Artificial Intelligence (AI) Chip Market?

North America dominated the market. The presence of hyperscale data centers and the incorporation of AI in the automotive industry increases demand for AI chips. The well-established research infrastructure and investment in local chip production increase the manufacturing of AI chips. The integration of AI across various industries and the presence of tech giants like AMD, Google, NVIDIA, and Intel drive the market growth.

How Big is the Artificial Intelligence (AI) Chip Market in 2026?

The U.S. artificial intelligence (AI) chip market size is estimated at USD 37.49 billion in 2026 and is projected to reach around USD 347.32 billion by 2035, rising at a CAGR of 29.11% from 2026 to 2035.

U.S. Artificial Intelligence (AI) Chip Market Trends

The U.S. market is rapidly expanding as demand surges for data centers, cloud computing, and generative AI applications across industries. Advanced GPUs and custom accelerators dominate the market, with companies increasingly designing specialized chips to improve performance and energy efficiency for AI workloads.

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Why is Asia Pacific experiencing the Fastest Growth in the Artificial Intelligence (AI) Chip Industry?

Asia Pacific is experiencing the fastest growth in the market during the forecast period. The government's backing for the production of AI chips domestically and the expansion of digital infrastructure help market expansion. The increased adoption of AI in industrial applications and the presence of skilled labor increase the production of AI chips. The expanding real-time data processing and the huge data center investment increase demand for AI chips, supporting the overall market growth.

China Artificial Intelligence (AI) Chip Market Trends

China's market is experiencing rapid growth driven by strong domestic demand, policy support, and significant R&D investment, with market size projected to continue expanding rapidly through 2025 and beyond. Domestic manufacturers such as Huawei, Alibaba, Cambricon, and other startups are advancing their own designs and gaining market share as China pushes for semiconductor self-sufficiency amid geopolitical tensions and export controls.

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Artificial Intelligence (AI) Chip Market Segmentation

Technology Insights

Why Machine Learning Segment Dominates the Artificial Intelligence (AI) Chip Market?

The machine learning segment dominated the market. The expansion of big data and the rapid growth in cloud computing increase demand for machine learning. The growing simultaneous computation activities and increased innovation in AI workloads increase demand for machine learning. The superior efficiency, excellent performance, and ubiquitous application of machine learning drive the overall market growth.

Chip Type Insights

How did the CPU Segment hold the Largest Share in the Artificial Intelligence (AI) Chip Industry?

The CPU segment held the largest revenue share in the artificial intelligence (AI) chip industry. The increased need for data preprocessing and the presence of massive datasets increases requires CPU, which increases demand for AI chips. The growing use of CPUs in personal computers and data centers helps market expansion. The cost-effectiveness, Ease of Use, and the high availability of CPU drives the overall market growth.

Processing Type Insights

What made Edge Segment Dominate the Artificial Intelligence (AI) Chip Market?

The edge segment dominated the market. The growth in autonomous driving applications and the explosion of IoT devices increase demand for edge processing. The increasing use of smart home appliances and the growth in the development of industrial sensors increase demand for edge processing. The data privacy, low latency, real-time processing, and low cost of edge processing support the overall market growth.

Function Insights

How did the Inference Segment hold the Largest Share in the Artificial Intelligence (AI) Chip Industry?

The inference segment held the largest revenue share in the artificial intelligence (AI) chip industry. The growing demand for generative AI and the increasing use of high-end GPUs increase the demand for inference chips. The increasing use of privacy-focused processing and the focus on lowering the consumption of power increase demand for inference chips. The development of high-performance hardware and expanding edge AI requires inference chips, driving the overall market growth.

End-Users Insights

Which End-Users Dominated the Artificial Intelligence (AI) Chip Market?

The BFSI segment dominated the market. The rising volume of transactions and the focus on fraud prevention increase demand for AI chips. The increasing need for enhancing the operational efficiency of the financial sector and the growing demand for personalised financial advice increase the demand for AI chips. The growth in automated auditing and the push for digital banking increases the adoption of AI chips, driving the overall market growth.

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Top Companies in the Artificial Intelligence (AI) Chip Market & Their Offerings

  • NVIDIA Corporation: Offers high-performance GPUs and specialized architectures like Blackwell and Hopper that serve as the industry standard for large-scale AI training and inference.
  • General Vision Inc.: Specializes in low-power neuromorphic chips, such as the NeuroMem series, designed for real-time pattern recognition and edge-based sensor fusion.
  • Amazon Web Services: Develops custom silicon including Trainium for cost-efficient model training and Inferentia for high-throughput, low-latency AI inference in the cloud.
  • Google Inc.: Provides proprietary Tensor Processing Units (TPUs), which are application-specific integrated circuits (ASICs) optimized for accelerating large-scale machine learning workloads.
  • Microsoft Corporation: Recently launched the Maia series of AI accelerators, custom chips designed to optimize performance for internal AI services and Azure cloud workloads.
  • Advanced Micro Devices Inc.: Offers Instinct accelerators for data centers and Ryzen processors with integrated AI engines to power both enterprise and consumer-level AI applications.

Recent Developments

  • In January 2026, Hyundai launched large-scale manufacturing of AI chips, Edge Brain for autonomous machines. The AI chip's power consumption is less than 5 watts and performs complex operations. (Source: https://www.zeebiz.com)
  • In October 2025, Qualcomm launched AI inference-optimized solutions AI 250 and AI200 for data centers. The solution consists of PCIe, confidential computing, direct liquid cooling, 160kW rack-level power consumption, and confidential computing. The solution offers security and supports hardware utilization. (Source: https://www.qualcomm.com)
  • In November 2025, Qualcomm launched a mobile AI chip, Snapdragon 8 Gen 5, for mid-range smartphones. The AI chip offers a premium experience and 36% better performance. An AI chip uses an X80 modem and enhances the performance of 5G home internet. (Source: https://indianexpress.com)

Segments Covered in the Report

By Technology

  • Machine Learning
  • Natural Language Processing
  • Context-aware Computing
  • Computer Vision
  • Predictive Analysis

By Chip Type

  • GPU
  • ASIA
  • FPGA
  • CPU
  • Others

By Processing Type

  • Edge
  • Cloud

By Function

  • Training
  • Inference

By End-Users

  • Manufacturing
  • Healthcare
  • Automotive
  • Agriculture
  • Retail
  • Human Resources
  • Marketing
  • BFSI
  • Government
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
    • Rest of North America
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Western Europe
      • Germany
      • Italy
      • France
      • Netherlands
      • Spain
      • Portugal
      • Belgium
      • Ireland
      • UK
      • Iceland
      • Switzerland
      • Poland
      • Rest of Western Europe
    • Eastern Europe
      • Austria
      • Russia & Belarus
      • Turkiye
      • Albania
      • Rest of Eastern Europe
  • Asia Pacific
    • China
    • Taiwan
    • India
    • Japan
    • Australia and New Zealand,
    • ASEAN Countries (Singapore, Malaysia)
    • South Korea
    • Rest of APAC
  • MEA
    • GCC Countries
      • Saudi Arabia
      • United Arab Emirates (UAE)
      • Qatar
      • Kuwait
      • Oman
      • Bahrain
    • South Africa
    • Egypt
    • Rest of MEA

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