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人工智能

人工智慧（AI）硬體市場規模、佔有率和成長分析（按類型、技術、部署、最終用戶和地區分類）—產業預測（2026-2033 年）

市場調查報告書

商品編碼

1896012

人工智慧（AI）硬體市場規模、佔有率和成長分析（按類型、技術、部署、最終用戶和地區分類）—產業預測（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個工作天內

價格

簡介目錄

預計到 2024 年，人工智慧 (AI) 硬體市場規模將達到 271.4 億美元，到 2025 年將成長至 313.5 億美元，到 2033 年將成長至 992.9 億美元，在預測期（2026-2033 年）內，複合年成長率為 15.5%。

人工智慧（AI）硬體市場的發展主要受全球AI技術日益普及和對專用硬體的大量投資所驅動。為了有效管理先進的AI演算法，製造商正積極尋求創新，以提升處理能力和運算能力。此外，AI模型在各行業的應用日益廣泛，加之半導體技術的進步，也為AI硬體供應商創造了巨大的機會。為了滿足市場需求，各公司正優先開發客製化AI晶片和節能解決方案。然而，溫度控管、高昂的開發成本和整合複雜性等挑戰可能會在短期內阻礙AI硬體市場的成長潛力。

人工智慧（AI）硬體市場促進因素

隨著人工智慧演算法日趨複雜，運算能力的提升變得至關重要，這顯著增加了對支援這些複雜人工智慧流程的專用硬體的需求。隨著越來越多的行業採用人工智慧技術，對高效、強大的硬體解決方案的需求也將隨之成長，從而推動人工智慧硬體市場的顯著成長。這一趨勢反映了人工智慧在各個領域的廣泛應用，各組織都在尋求利用先進的功能來提升績效和效率。因此，針對人工智慧應用客製化的專用硬體的開發和部署預計將成為市場擴張的關鍵驅動力。

人工智慧（AI）硬體市場限制因素

人工智慧（AI）硬體市場面臨與溫度控管和電力消耗相關的重大挑戰。硬體在執行複雜計算和AI演算法時會產生大量熱量，這會影響其效能和效率。如何有效解決這些散熱問題仍然是製造商面臨的複雜挑戰，他們必須在冷卻系統需求和能耗管理之間取得平衡。過高的發熱量不僅需要額外的能源來維持最佳運作狀態，還會導致更高的營運成本。因此，尋找創新的解決方案來減少發熱量並最佳化功耗，對於AI硬體的發展和永續性至關重要。

人工智慧（AI）硬體市場趨勢

為了滿足先進人工智慧演算法日益成長的運算需求，人工智慧（AI）硬體市場正迅速轉向開發節能解決方案。隨著機器學習和深度學習模型的複雜性不斷提升，對能夠高效處理這些演算法並最大限度降低能耗的硬體的需求也隨之成長。各公司正優先推進晶片設計和架構的創新，力求在不增加電力消耗量的情況下提升效能。這一趨勢不僅有助於解決環境問題，還能提高人工智慧部署的成本效益，從而吸引許多尋求永續技術進步的產業。

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）

結論與建議

簡介目錄

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