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AI Chipsets Market - Forecasts from 2024 to 2029

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    Report

  • 118 Pages
  • November 2024
  • Region: Global
  • Knowledge Sourcing Intelligence LLP
  • ID: 5913185
The AI chipsets market is estimated to reach US$159.178 billion by 2029, growing at a CAGR of 25.87% from US$68.194 billion in 2024.

An artificial intelligence chipset is a type of chip specially designed by various computing devices to perform AI-based operations efficiently. Multiple types of AI chipsets exist, including AI-based GPUs, Neural Processing Units (NPUs), and memory chips. The AI chips are designed to integrate greater neural processing efficiency compared to the other types of chips, and they also offer energy efficiencies, ultra-fast computing, and lower latency.

The AI chipsets also include flexibility in their applications, as these chips offer a higher level of customization than the other chips and can also be built for specific AI training models or applications. Their performance is also greater than the other types of chips, as these chips are specifically built with higher levels of computational capacity. These chips offer more efficient and accurate results and can perform core tasks like natural language processing (NLP) and data analysis.

AI chipsets market drivers

Increasing focus on creating AI systems

The growing need for high-end specifications for various electronic gadgets, including tablets and smartphones, is increasing the demand for AI chipsets in consumer electronics. Numerous manufacturers are constantly releasing cutting-edge AI chipsets to meet this growing demand.

MediaTek, a Taiwanese chip manufacturer, unveiled the Genio architecture and Genio 1200 chip for artificial intelligence of things (AIoT) devices in May 2022. MediaTek Genio provides a comprehensive platform stack tailored for AIoT, open platform SDKs, and a developer portal equipped with extensive resources and tools.

Furthermore, the rising usage of analytical computations and complex problem-solving using quantum computing technology is also increasing the AI Chipsets market. Google introduced Cloud TPU v5p in December 2023. These TPUs served a considerable time as the backbone for training and deploying AI-driven products such as YouTube, Gmail, Google Maps, Google Play, and Android. The demand for AI chipsets will increase as understanding of quantum computing deepens, accelerating the sector’s growth.

AI chipsets market geographical outlook

North America is forecasted to hold a major share of the AI Chipsets Market.

The North American region is anticipated to hold a considerable market share fueled by the immense applications of defense, government, robotics, automation, automobiles, etc. The USA is a major regional player, having several core companies, such as IBM Corporation, Intel Corporation, AMD Inc., etc.

The semiconductor sector is the major driving force in AI chipsets; both sectors collaborate in growth. In 2022, U.S.-based semiconductor companies commanded 48.0 percent of the overall semiconductor market share. Such growth aligns with the expanding AI Chipsets market in the North American region, which relies on AI-driven technologies for improved efficiency and precision. This synergy underscores the pivotal role of AI chipsets.

Reasons for buying this report::

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The AI Chipsets Market is analyzed into the following segments:

By Component

  • GPU (Graphic Processing Unit)
  • FGPA (Field-Programmable Gate Array)
  • ASIC (Application-Specific Integrated Circuit)
  • Others

By End-User

  • Automotives
  • Consumer Electronics
  • Industrial
  • Healthcare
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Taiwan
  • Australia
  • Others

Table of Contents

1. INTRODUCTION
1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Market Segmentation
1.5. Currency
1.6. Assumptions
1.7. Base and Forecast Years Timeline
1.8. Key benefits for the stakeholders
2. RESEARCH METHODOLOGY
2.1. Research Design
2.2. Research Process
3. EXECUTIVE SUMMARY
3.1. Key Findings
4. MARKET DYNAMICS
4.1. Market Drivers
4.2. Market Restraints
4.3. Porter’s Five Forces Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Power of Buyers
4.3.3. The Threat of New Entrants
4.3.4. Threat of Substitutes
4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
4.5. Analyst View
5. AI CHIPSETS MARKET BY COMPONENT
5.1. Introduction
5.2. GPU (Graphic Processing Unit)
5.3. FGPA (Field-Programmable Gate Array)
5.4. ASIC (Application-Specific Integrated Circuit)
5.5. Others
6. AI CHIPSETS MARKET BY END-USER
6.1. Introduction
6.2. Automotives
6.3. Consumer Electronics
6.4. Industrial
6.5. Healthcare
6.6. Others
7. AI CHIPSETS MARKET BY GEOGRAPHY
7.1. Introduction
7.2. North America
7.2.1. By Component
7.2.2. By End-User
7.2.3. By Country
7.2.3.1. United States
7.2.3.2. Canada
7.2.3.3. Others
7.3. South America
7.3.1. By Component
7.3.2. By End-User
7.3.3. By Country
7.3.3.1. Brazil
7.3.3.2. Argentina
7.3.3.3. Others
7.4. Europe
7.4.1. By Component
7.4.2. By End-User
7.4.3. By Country
7.4.3.1. United Kingdom
7.4.3.2. Germany
7.4.3.3. France
7.4.3.4. Italy
7.4.3.5. Spain
7.4.3.6. Others
7.5. Middle East and Africa
7.5.1. By Component
7.5.2. By End-User
7.5.3. By Country
7.5.3.1. Saudi Arabia
7.5.3.2. UAE
7.5.3.3. Others
7.6. Asia Pacific
7.6.1. By Component
7.6.2. By End-User
7.6.3. By Country
7.6.3.1. China
7.6.3.2. Japan
7.6.3.3. India
7.6.3.4. South Korea
7.6.3.5. Taiwan
7.6.3.6. Australia
7.6.3.7. Others
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
8.1. Major Players and Strategy Analysis
8.2. Market Share Analysis
8.3. Mergers, Acquisitions, Agreements, and Collaborations
8.4. Competitive Dashboard
9. COMPANY PROFILES
9.1. AMD Inc
9.2. Graphcore Ltd
9.3. Huawei Technologies Co Ltd
9.4. IBM Corporation
9.5. Intel Corporation
9.6. NVIDIA Corporation
9.7. Micron Technology Inc
9.8. Samsung Semiconductor
9.9. Synopsys, Inc.
9.10. Qualcomm Technologies, Inc.
9.11. MediaTek Inc.
9.12. Cerebras

Companies Mentioned

  • AMD Inc
  • Graphcore Ltd
  • Huawei Technologies Co Ltd
  • IBM Corporation
  • Intel Corporation
  • NVIDIA Corporation
  • Micron Technology Inc
  • Samsung Semiconductor
  • Synopsys, Inc.
  • Qualcomm Technologies, Inc.
  • MediaTek Inc.
  • Cerebras

Methodology

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