2026-2030年全球人工智慧推理硬体市场

全球人工智慧推理硬体市场预计将从 2025 年到 2030 年成长至 1,062.516 亿美元，预测期内复合年增长率为 20.8%。

本报告对全球人工智慧推理硬体市场进行了全面分析，包括市场规模和预测、趋势、成长要素、挑战以及涵盖约 25 家供应商的供应商分析。

本报告对当前市场状况、最新趋势和驱动因素以及整体市场环境进行了最新分析。推动此市场发展的因素包括：整个产业对边缘运算能力的需求不断增长、生成式人工智慧模型在企业工作负载中的广泛应用，以及对能源效率和永续资料处理的策略需求。

本研究客观地结合一手和二手讯息，包括主要行业相关人员的意见，进行了这项研究。报告内容包括对主要企业的分析、全面的市场规模数据、区域細項分析以及供应商格局。报告还包含了历史数据和预测数据。

本研究指出，未来几年全球人工智慧推理硬体市场成长的主要驱动力之一是专用积体电路（ASIC）的加速普及。此外，基于晶片组的模组化硅设计架构的出现以及硅光电的整合应用，有望克服频宽瓶颈，从而产生显着的市场需求。

目录

第一章执行摘要

第二章 Technavio 分析

• 分析定价、生命週期、顾客购买篮子、采用率和购买标准。
• 输入的重要性及差异化因素
• 混淆因素
• 促进因素和挑战的影响

第三章 市场状况

• 市场生态系统
• 市场特征
• 价值链分析

第四章 市场规模

• 市场的定义
• 市场区隔分析
• 2025年市场规模
• 2025-2030年市场展望

第五章 市场规模与表现

• 2020-2024年全球人工智慧推理硬体市场
• 类型细分市场分析 2020-2024
• 2020-2024年部署细分市场分析
• 2020-2024年按应用领域分類的细分市场分析
• 2020-2024年区域市场分析
• 2020-2024年各国细分市场分析

第六章 定性分析

• 地缘政治衝突影响全球人工智慧推理硬体市场。

第七章：五力分析

• 五力模型概述
• 买方的议价能力
• 供应商的议价能力
• 新进入者的威胁
• 替代品的威胁
• 竞争威胁
• 市场状况

第八章 市场区隔：依类型

• 比较：按类型
• GPU
• CPU
• ASIC
• FPGA
• 其他的
• 市场机会：按类型划分

第九章 市场区隔：依部署方式

• 比较：依部署方式
• 云推断
• 边缘推断
• 现场
• 市场机会：依发展阶段划分

第十章 市场区隔：依应用

• 比较：透过应用
• 电脑视觉
• 机器人技术
• 人工智慧世代
• NLP
• 其他的
• 市场机会：依应用领域划分

第十一章 客户情况

第十二章 区域情势

• 区域细分
• 区域比较
• 北美洲
  • 我们
  • 加拿大
  • 墨西哥
• 欧洲
  • 德国
  • 英国
  • 法国
  • 荷兰
  • 瑞典
  • 西班牙
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 韩国
  • 台湾
  • 印尼
• 中东和非洲
  • 阿拉伯聯合大公国
  • 沙乌地阿拉伯
  • 以色列
  • 南非
  • 卡达
• 南美洲
  • 巴西
  • 阿根廷
  • 智利
• 市场机会：按地区划分

第十三章 促进因素、挑战与机会

• 市场驱动因素
• 市场挑战
• 促进因素和挑战的影响
• 市场机会

第十四章 竞争格局

• 概述
• 竞争格局
• 混乱局面
• 产业风险

第十五章 竞争分析

• 公司简介
• 公司排名指标
• 企业市场定位
• Advanced Micro Devices Inc.
• Amazon.com Inc.
• Apple Inc.
• Arm Ltd.
• Cerebras
• Google LLC
• Groq Inc.
• Intel Corp.
• MediaTek Inc.
• NVIDIA Corp.
• NXP Semiconductors NV
• Qualcomm Inc.
• SambaNova Systems Inc.
• STMicroelectronics NV
• Tenstorrent Inc.

第十六章附录

The global AI inference hardware market is forecasted to grow by USD 106251.6 mn during 2025-2030, accelerating at a CAGR of 20.8% during the forecast period. The report on the global AI inference hardware market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by escalating demand for edge computing capabilities across industries, proliferation of generative AI models in enterprise workloads , strategic imperative for energy efficiency and sustainable data processing .

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global AI inference hardware market is segmented as below:

By Type

• GPU
• CPU
• ASIC
• FPGA
• Others

By Deployment

• Cloud inference
• Edge inference
• On-premises

By Application

• Computer vision
• Robotics
• Generative AI
• NLP
• Others

Geography

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • The Netherlands
  • Sweden
  • Spain
• APAC
  • China
  • Japan
  • India
  • South Korea
  • Taiwan
  • Indonesia
• Middle East and Africa
  • UAE
  • South Africa
  • Qatar
• South America
  • Brazil
  • Argentina
  • Chile
• Rest of World (ROW)

This study identifies the accelerated shift toward application specific integrated circuits as one of the prime reasons driving the global AI inference hardware market growth during the next few years. Also, emergence of chiplet based architectures for modular silicon design and integration of silicon photonics to alleviate bandwidth bottlenecks will lead to sizable demand in the market.

The report on the global AI inference hardware market covers the following areas:

• Global AI inference hardware market sizing
• Global AI inference hardware market forecast
• Global AI inference hardware market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global AI inference hardware market vendors that include Advanced Micro Devices Inc., Amazon.com Inc., Apple Inc., Arm Ltd., Cerebras, Google LLC, Groq Inc., Hailo Technologies Ltd., IBM Corp., Intel Corp., Kneron Inc., MediaTek Inc., NVIDIA Corp., NXP Semiconductors NV, Qualcomm Inc., SambaNova Systems Inc., SiMa Technologies Inc., STMicroelectronics NV, Syntiant Corp., Tenstorrent Inc.. Also, the global AI inference hardware market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Type
  • Executive Summary - Chart on Market Segmentation by Deployment
  • Executive Summary - Chart on Market Segmentation by Application
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2025
• 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

• 5.1 Global AI Inference Hardware Market 2020 - 2024
  • Historic Market Size - Data Table on Global AI Inference Hardware Market 2020 - 2024 ($ million)
• 5.2 Type segment analysis 2020 - 2024
  • Historic Market Size - Type Segment 2020 - 2024 ($ million)
• 5.3 Deployment segment analysis 2020 - 2024
  • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
• 5.4 Application segment analysis 2020 - 2024
  • Historic Market Size - Application Segment 2020 - 2024 ($ million)
• 5.5 Geography segment analysis 2020 - 2024
  • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
• 5.6 Country segment analysis 2020 - 2024
  • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

• 6.1 Impact of Geopolitical Conflicts on Global AI inference hardware Market

7 Five Forces Analysis

• 7.1 Five forces summary
  • Five forces analysis - Comparison between 2025 and 2030
• 7.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2025 and 2030
• 7.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
• 7.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2025 and 2030
• 7.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2025 and 2030
• 7.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2025 and 2030
• 7.7 Market condition

8 Market Segmentation by Type

• 8.1 Market segments
• 8.2 Comparison by Type
• 8.3 GPU - Market size and forecast 2025-2030
• 8.4 CPU - Market size and forecast 2025-2030
• 8.5 ASIC - Market size and forecast 2025-2030
• 8.6 FPGA - Market size and forecast 2025-2030
• 8.7 Others - Market size and forecast 2025-2030
• 8.8 Market opportunity by Type
  • Market opportunity by Type ($ million)

9 Market Segmentation by Deployment

• 9.1 Market segments
• 9.2 Comparison by Deployment
• 9.3 Cloud inference - Market size and forecast 2025-2030
• 9.4 Edge inference - Market size and forecast 2025-2030
• 9.5 On-premises - Market size and forecast 2025-2030
• 9.6 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

10 Market Segmentation by Application

• 10.1 Market segments
• 10.2 Comparison by Application
• 10.3 Computer vision - Market size and forecast 2025-2030
• 10.4 Robotics - Market size and forecast 2025-2030
• 10.5 Generative AI - Market size and forecast 2025-2030
• 10.6 NLP - Market size and forecast 2025-2030
• 10.7 Others - Market size and forecast 2025-2030
• 10.8 Market opportunity by Application
  • Market opportunity by Application ($ million)

11 Customer Landscape

• 11.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

12 Geographic Landscape

• 12.1 Geographic segmentation
• 12.2 Geographic comparison
• 12.3 North America - Market size and forecast 2025-2030
  • 12.3.1 US - Market size and forecast 2025-2030
  • 12.3.2 Canada - Market size and forecast 2025-2030
  • 12.3.3 Mexico - Market size and forecast 2025-2030
• 12.4 Europe - Market size and forecast 2025-2030
  • 12.4.1 Germany - Market size and forecast 2025-2030
  • 12.4.2 UK - Market size and forecast 2025-2030
  • 12.4.3 France - Market size and forecast 2025-2030
  • 12.4.4 The Netherlands - Market size and forecast 2025-2030
  • 12.4.5 Sweden - Market size and forecast 2025-2030
  • 12.4.6 Spain - Market size and forecast 2025-2030
• 12.5 APAC - Market size and forecast 2025-2030
  • 12.5.1 China - Market size and forecast 2025-2030
  • 12.5.2 Japan - Market size and forecast 2025-2030
  • 12.5.3 India - Market size and forecast 2025-2030
  • 12.5.4 South Korea - Market size and forecast 2025-2030
  • 12.5.5 Taiwan - Market size and forecast 2025-2030
  • 12.5.6 Indonesia - Market size and forecast 2025-2030
• 12.6 Middle East and Africa - Market size and forecast 2025-2030
  • 12.6.1 UAE - Market size and forecast 2025-2030
  • 12.6.2 Saudi Arabia - Market size and forecast 2025-2030
  • 12.6.3 Israel - Market size and forecast 2025-2030
  • 12.6.4 South Africa - Market size and forecast 2025-2030
  • 12.6.5 Qatar - Market size and forecast 2025-2030
• 12.7 South America - Market size and forecast 2025-2030
  • 12.7.1 Brazil - Market size and forecast 2025-2030
  • 12.7.2 Argentina - Market size and forecast 2025-2030
  • 12.7.3 Chile - Market size and forecast 2025-2030
• 12.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

13 Drivers, Challenges, and Opportunity

• 13.1 Market drivers
  • Escalating demand for edge computing capabilities across industries
  • Proliferation of generative AI models in enterprise workloads
  • Strategic imperative for energy efficiency and sustainable data processing
• 13.2 Market challenges
  • Exorbitant initial capital expenditures for advanced processing systems
  • Complex integration with legacy enterprise infrastructure
  • Rapid evolution of neural network architectures and algorithms
• 13.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2025 and 2030
• 13.4 Market opportunities
  • Accelerated shift toward application specific integrated circuits
  • Emergence of chiplet based architectures for modular silicon design
  • Integration of silicon photonics to alleviate bandwidth bottlenecks

14 Competitive Landscape

• 14.1 Overview
• 14.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 14.3 Landscape disruption
  • Overview on factors of disruption
• 14.4 Industry risks
  • Impact of key risks on business

15 Competitive Analysis

• 15.1 Companies profiled
  • Companies covered
• 15.2 Company ranking index
  • Company ranking index
• 15.3 Market positioning of companies
  • Matrix on companies position and classification
• 15.4 Advanced Micro Devices Inc.
  • Advanced Micro Devices Inc. - Overview
  • Advanced Micro Devices Inc. - Business segments
  • Advanced Micro Devices Inc. - Key news
  • Advanced Micro Devices Inc. - Key offerings
  • Advanced Micro Devices Inc. - Segment focus
  • SWOT
• 15.5 Amazon.com Inc.
  • Amazon.com Inc. - Overview
  • Amazon.com Inc. - Business segments
  • Amazon.com Inc. - Key news
  • Amazon.com Inc. - Key offerings
  • Amazon.com Inc. - Segment focus
  • SWOT
• 15.6 Apple Inc.
  • Apple Inc. - Overview
  • Apple Inc. - Business segments
  • Apple Inc. - Key news
  • Apple Inc. - Key offerings
  • Apple Inc. - Segment focus
  • SWOT
• 15.7 Arm Ltd.
  • Arm Ltd. - Overview
  • Arm Ltd. - Product / Service
  • Arm Ltd. - Key offerings
  • SWOT
• 15.8 Cerebras
  • Cerebras - Overview
  • Cerebras - Product / Service
  • Cerebras - Key offerings
  • SWOT
• 15.9 Google LLC
  • Google LLC - Overview
  • Google LLC - Product / Service
  • Google LLC - Key offerings
  • SWOT
• 15.10 Groq Inc.
  • Groq Inc. - Overview
  • Groq Inc. - Product / Service
  • Groq Inc. - Key offerings
  • SWOT
• 15.11 Intel Corp.
  • Intel Corp. - Overview
  • Intel Corp. - Business segments
  • Intel Corp. - Key offerings
  • Intel Corp. - Segment focus
  • SWOT
• 15.12 MediaTek Inc.
  • MediaTek Inc. - Overview
  • MediaTek Inc. - Business segments
  • MediaTek Inc. - Key news
  • MediaTek Inc. - Key offerings
  • MediaTek Inc. - Segment focus
  • SWOT
• 15.13 NVIDIA Corp.
  • NVIDIA Corp. - Overview
  • NVIDIA Corp. - Business segments
  • NVIDIA Corp. - Key news
  • NVIDIA Corp. - Key offerings
  • NVIDIA Corp. - Segment focus
  • SWOT
• 15.14 NXP Semiconductors NV
  • NXP Semiconductors NV - Overview
  • NXP Semiconductors NV - Business segments
  • NXP Semiconductors NV - Key news
  • NXP Semiconductors NV - Key offerings
  • NXP Semiconductors NV - Segment focus
  • SWOT
• 15.15 Qualcomm Inc.
  • Qualcomm Inc. - Overview
  • Qualcomm Inc. - Business segments
  • Qualcomm Inc. - Key news
  • Qualcomm Inc. - Key offerings
  • Qualcomm Inc. - Segment focus
  • SWOT
• 15.16 SambaNova Systems Inc.
  • SambaNova Systems Inc. - Overview
  • SambaNova Systems Inc. - Product / Service
  • SambaNova Systems Inc. - Key offerings
  • SWOT
• 15.17 STMicroelectronics NV
  • STMicroelectronics NV - Overview
  • STMicroelectronics NV - Business segments
  • STMicroelectronics NV - Key offerings
  • STMicroelectronics NV - Segment focus
  • SWOT
• 15.18 Tenstorrent Inc.
  • Tenstorrent Inc. - Overview
  • Tenstorrent Inc. - Product / Service
  • Tenstorrent Inc. - Key offerings
  • SWOT

16 Appendix

• 16.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 16.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 16.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 16.4 Research methodology
  • Research methodology
• 16.5 Data procurement
  • Information sources
• 16.6 Data validation
  • Data validation
• 16.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 16.8 Data synthesis
  • Data synthesis
• 16.9 360 degree market analysis
  • 360 degree market analysis
• 16.10 List of abbreviations
  • List of abbreviations