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人工智慧（AI）硬体市场规模、份额和成长分析（按类型、技术、部署、最终用户和地区划分）—产业预测（2026-2033 年）

市场调查报告书

商品编码

1896012

人工智慧（AI）硬体市场规模、份额和成长分析（按类型、技术、部署、最终用户和地区划分）—产业预测（2026-2033 年）

Artificial Intelligence (AI) Hardware Market Size, Share, and Growth Analysis, By Type (Processor, Memory), By Technology (Machine Learning, Computer Vision), By Deployment, By End User, By Region - Industry Forecast 2026-2033

出版日期: 2025年12月15日 | 出版商:

SkyQuest | 英文 197 Pages | 商品交期: 3-5个工作天内

价格

简介目录

预计到 2024 年，人工智慧 (AI) 硬体市场规模将达到 271.4 亿美元，到 2025 年将成长至 313.5 亿美元，到 2033 年将成长至 992.9 亿美元，在预测期（2026-2033 年）内，复合年增长率为 15.5%。

人工智慧（AI）硬体市场的发展主要受全球AI技术日益普及和对专用硬体的大量投资所驱动。为了有效管理先进的AI演算法，製造商正积极寻求创新，以提升处理能力和运算能力。此外，AI模型在各行业的应用日益广泛，加之半导体技术的进步，也为AI硬体供应商创造了巨大的机会。为了满足市场需求，各公司正优先开发客製化AI晶片和节能解决方案。然而，温度控管、高昂的开发成本和整合复杂性等挑战可能会在短期内阻碍AI硬体市场的成长潜力。

人工智慧（AI）硬体市场驱动因素

随着人工智慧演算法日趋复杂，运算能力的提升变得至关重要，这显着增加了对支援这些复杂人工智慧流程的专用硬体的需求。随着越来越多的行业采用人工智慧技术，对高效、强大的硬体解决方案的需求也将随之成长，从而推动人工智慧硬体市场的显着成长。这一趋势反映了人工智慧在各个领域的广泛应用，各组织都在寻求利用先进的功能来提升绩效和效率。因此，针对人工智慧应用客製化的专用硬体的开发和部署预计将成为市场扩张的关键驱动力。

人工智慧（AI）硬体市场限制因素

人工智慧（AI）硬体市场面临与温度控管和电力消耗相关的重大挑战。硬体在执行复杂计算和AI演算法时会产生大量热量，这会影响其效能和效率。如何有效解决这些散热问题仍然是製造商面临的复杂挑战，他们必须在冷却系统需求和能耗管理之间取得平衡。过高的发热量不仅需要额外的能源来维持最佳运作状态，还会导致更高的营运成本。因此，寻找创新的解决方案来减少发热量并优化功耗，对于AI硬体的发展和永续性至关重要。

人工智慧（AI）硬体市场趋势

为了满足先进人工智慧演算法日益增长的运算需求，人工智慧（AI）硬体市场正迅速转向开发节能解决方案。随着机器学习和深度学习模型的复杂性不断提升，对能够高效处理这些演算法并最大限度降低能耗的硬体的需求也随之增长。各公司正优先推进晶片设计和架构的创新，力求在不增加电力消耗量的情况下提升效能。这一趋势不仅有助于解决环境问题，还能提高人工智慧部署的成本效益，从而吸引许多寻求永续技术进步的产业。

NVIDIA（United States）
Advanced Micro Devices（AMD）（United States）
Intel Corporation（United States）
Qualcomm Technologies, Inc.（United States）
Huawei Technologies Co., Ltd.（China）
SambaNova Systems（United States）
Tenstorrent（Canada）
Groq（United States）
Celestial AI（United States）
Enfabrica（United States）
Hailo（Israel）
Mythic（United States）
Graphcore（United Kingdom）
Cerebras Systems（United States）
Blaize（United States）
Kneron（United States）
Flex Logix Technologies（United States）
Gyrfalcon Technology Inc.（United States）
Syntiant（United States）
Edgecortix（Japan）

结论与建议

简介目录

Product Code: SQMIG45I2192

Artificial Intelligence (AI) Hardware Market size was valued at USD 27.14 Billion in 2024 and is poised to grow from USD 31.35 Billion in 2025 to USD 99.29 Billion by 2033, growing at a CAGR of 15.5% during the forecast period (2026-2033).

The market for artificial intelligence (AI) hardware is driven by the increasing global adoption of AI technologies and substantial investments in purpose-built hardware. The demand for enhanced processing and computational power to effectively manage sophisticated AI algorithms encourages manufacturers to pursue innovation actively. Furthermore, the expanding application of AI models across various industry sectors, combined with advancements in semiconductor technology, presents significant opportunities for AI hardware providers. Companies are prioritizing the development of custom AI chips and energy-efficient solutions to meet market needs. Nonetheless, challenges such as heat management, high development costs, and integration complexities may hinder the growth potential of the AI hardware market in the foreseeable future.

Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence (AI) Hardware market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Artificial Intelligence (AI) Hardware Market Segments Analysis

Global Artificial Intelligence (AI) Hardware Market is segmented by Type, Technology, Deployment, End User and region. Based on Type, the market is segmented into Processor, Memory, Network and Storage. Based on Technology, the market is segmented into Machine Learning, Computer Vision and Others. Based on Deployment, the market is segmented into Cloud and On-premise. Based on End User, the market is segmented into Telecommunication And IT Industry, Banking And Finance Sectors, Education, Ecommerce, Navigation, Robotics, Agriculture, Health Care and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Artificial Intelligence (AI) Hardware Market

The increasing sophistication of AI algorithms necessitates enhanced computational capabilities, leading to a significant rise in demand for specialized hardware designed to support these complex AI processes. As more industries embrace AI technologies, the need for efficient and powerful hardware solutions will escalate, driving substantial growth in the AI hardware market. This trend reflects the broader adoption of AI across various sectors, as organizations seek to leverage advanced capabilities to improve performance and efficiency. Consequently, the development and deployment of dedicated hardware tailored for AI applications are poised to become a crucial driver of market expansion.

Restraints in the Artificial Intelligence (AI) Hardware Market

The Artificial Intelligence (AI) Hardware market faces significant challenges related to heat management and power consumption. As hardware executes complex computations and AI algorithms, it generates substantial heat, which can affect performance and efficiency. Effectively addressing these thermal issues remains a complex challenge for manufacturers, who must balance the need for cooling systems while also managing energy consumption. Increased heat not only necessitates additional energy to maintain optimal operating conditions but can also lead to higher operational costs. Consequently, finding innovative solutions to mitigate heat generation and optimize power usage is critical for the advancement and sustainability of AI hardware.

Market Trends of the Artificial Intelligence (AI) Hardware Market

The Artificial Intelligence (AI) Hardware market is increasingly shifting toward the development of energy-efficient solutions to meet the growing computational demands of advanced AI algorithms. As the complexity of machine learning and deep learning models rises, so does the need for hardware that can process these algorithms effectively while minimizing energy consumption. Companies are prioritizing innovations in chip design and architecture, targeting enhanced performance without a corresponding increase in power usage. This trend not only addresses environmental concerns but also improves the cost-effectiveness of AI deployments, appealing to a broader range of industries seeking sustainable technological advancements.

Introduction

Objectives of the Study
Scope of the Report
Definitions

Research Methodology

Information Procurement
Secondary & Primary Data Methods
Market Size Estimation
Market Assumptions & Limitations

Executive Summary

Global Market Outlook
Supply & Demand Trend Analysis
Segmental Opportunity Analysis

Market Dynamics & Outlook

Market Overview
Market Size
Market Dynamics
- Drivers & Opportunities
- Restraints & Challenges
Porters Analysis
- Competitive rivalry
- Threat of substitute
- Bargaining power of buyers
- Threat of new entrants
- Bargaining power of suppliers

Key Market Insights

Key Success Factors
Degree of Competition
Top Investment Pockets
Market Ecosystem
Market Attractiveness Index, 2025
PESTEL Analysis
Macro-Economic Indicators
Value Chain Analysis
Pricing Analysis

Global Artificial Intelligence (AI) Hardware Market Size by Type & CAGR (2026-2033)

Market Overview
Processor
Memory
Network
Storage

Global Artificial Intelligence (AI) Hardware Market Size by Technology & CAGR (2026-2033)

Market Overview
Machine Learning
- Supervised Learning
- Un-supervised Learning
- Deep Learning
- Others
Computer Vision
Others

Global Artificial Intelligence (AI) Hardware Market Size by Deployment & CAGR (2026-2033)

Market Overview
Cloud
- Cloud Platforms
- Private Cloud
- Public Cloud
- Hybrid Cloud
- Community Cloud
- Cloud Services
- SaaS
- IaaS
- PaaS
- Others
On-premise

Global Artificial Intelligence (AI) Hardware Market Size by End User & CAGR (2026-2033)

Market Overview
Telecommunication And IT Industry
Banking And Finance Sectors
Education
Ecommerce
Navigation
Robotics
Agriculture
Health Care
Others

Global Artificial Intelligence (AI) Hardware Market Size & CAGR (2026-2033)

North America (Type, Technology, Deployment, End User)
- US
- Canada
Europe (Type, Technology, Deployment, End User)
- Germany
- Spain
- France
- UK
- Italy
- Rest of Europe
Asia Pacific (Type, Technology, Deployment, End User)
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Latin America (Type, Technology, Deployment, End User)
- Brazil
- Rest of Latin America
Middle East & Africa (Type, Technology, Deployment, End User)
- GCC Countries
- South Africa
- Rest of Middle East & Africa

Competitive Intelligence

Top 5 Player Comparison
Market Positioning of Key Players, 2025
Strategies Adopted by Key Market Players
Recent Developments in the Market
Company Market Share Analysis, 2025
Company Profiles of All Key Players
- Company Details
- Product Portfolio Analysis
- Company's Segmental Share Analysis
- Revenue Y-O-Y Comparison (2023-2025)

Key Company Profiles

NVIDIA (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Advanced Micro Devices (AMD) (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Intel Corporation (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Qualcomm Technologies, Inc. (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Huawei Technologies Co., Ltd. (China)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
SambaNova Systems (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Tenstorrent (Canada)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Groq (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Celestial AI (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Enfabrica (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Hailo (Israel)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Mythic (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Graphcore (United Kingdom)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Cerebras Systems (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Blaize (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Kneron (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Flex Logix Technologies (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Gyrfalcon Technology Inc. (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Syntiant (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Edgecortix (Japan)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments