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人工智慧晶片的全球市场:各晶片类型，各用途，各技术，各处理类型，各业界，各硬体设备，各功能-各地区展望，竞争策略，市场区隔预测(～2032年)
市场调查报告书
商品编码
1176942

人工智慧晶片的全球市场:各晶片类型，各用途，各技术，各处理类型，各业界，各硬体设备，各功能-各地区展望，竞争策略，市场区隔预测(～2032年)

Artificial Intelligence (AI) Chip Market Size- By Chip Type, By Application, By Technology, By Processing Type, By Industry Vertical, By Hardware, By Function- Regional Outlook, Competitive Strategies and Segment Forecasts to 2032
出版日期: | 出版商: SPER Market Research Pvt. Ltd. | 英文 254 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

全球人工智慧晶片的市场规模，预计到2032年以40.35％成长，达到4,439亿8,000万美元。人工智慧的Start-Ups的投资增加，智慧家庭的需求高涨，量子运算的登场，促进市场成长。

本报告提供全球人工智慧晶片市场相关调查分析，市场动态，市场分析，企业简介等系统性资讯。

目录

第1章 简介

  • 调查范围
  • 市场区隔分析

第2章 调查手法

  • 调查资料来源
    • 二次资料
    • 一次资料
    • SPER内部资料库
    • KOL的洞察
  • 市场规模的估计
    • Top-Down(由上而下)和Bottom-Up(由下而上)的方法
  • 资料的三角测量

第3章 摘要整理

第4章 市场动态

  • 促进因素，阻碍因素，机会，课题的分析
    • 促进因素
    • 阻碍因素
    • 机会
    • 课题
  • 全球人工智慧晶片市场的COVID-19影响

第5章 市场变数与展望

  • SWOT分析
    • 优势
    • 弱点
    • 机会
    • 威胁
  • PESTEL分析
    • 政治形势
    • 经济形势
    • 社会形势
    • 技术性形势
    • 环境的形势
    • 法律的形势
  • 波特的五力分析
    • 供给企业谈判力
    • 买方议价能力
    • 替代品的威胁
    • 新加入厂商的威胁
    • 竞争企业间的敌对关係
  • 热图分析

第6章 全球人工智慧晶片市场(100万美元)(2019年～2032年):各晶片类型

  • GPU
  • ASIC
  • FPGA
  • CPU
  • 其他

第7章 全球人工智慧晶片市场(100万美元)(2019年～2032年):各用途

  • 自然语言处理(NLP)
  • 机器人工学
  • 电脑视觉
  • 网路安全
  • 机器学习
    • 深度学习
    • 有教师学习
    • 强化学习
    • 没有教师学习
    • 其他
  • 情境认知计算
  • 预测分析

第8章 全球人工智慧晶片市场(100万美元)(2019年～2032年):各技术

  • 系统晶片(SoC)
  • 系统级封装(SIP)
  • 多晶片模组
  • 其他

第9章 全球人工智慧晶片市场(100万美元)(2019年～2032年):处理各类型

  • 边缘
  • 云端

第10章 全球人工智慧晶片市场(100万美元)(2019年～2032年):各业界

  • 媒体、广告
  • BFSI
  • IT、电信
  • 零售
  • 医疗
  • 汽车与运输
  • 製造业
  • 汽车
  • 农业
  • 网路安全
  • 人事
  • 法律
  • 金融科技
  • 政府
  • 其他

第11章 全球人工智慧晶片市场(100万美元)(2019年～2032年):各硬体设备

  • 处理器
  • 记忆体
  • 网路

第12章 全球人工智慧晶片市场(100万美元)(2019年～2032年):各功能

  • 训练
  • 推论

第13章 全球人工智慧晶片市场(100万美元)(2019年～2032年):各地区

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 澳洲
    • 韩国
    • 其他亚太地区
  • 南美
    • 巴西
    • 阿根廷
    • 其他南美
  • 中东和非洲
    • 沙乌地阿拉伯王国
    • 阿拉伯联合大公国
    • 其他中东

第14章 企业简介

  • Advanced Micro Devices
  • Alphabet Inc.
  • Amazon Web Services
  • Apple
  • Fujitsu Limited
  • General Vision, Inc.
  • Google Inc.
  • Graphcore Limited
  • Huawei Technologies Co., Ltd.
  • Intel Corporation
  • International Business Machines Corporation
  • Kalray Corporation
  • Koniku Inc
  • Mediatek, Inc.
  • Micron Technology, Inc.
  • Microsemi Corporation
  • Microsoft Corporation
  • Mythic
  • NVIDIA Corporation
  • NXP Semiconductors N.V.
  • Qualcomm Technologies, Inc.
  • SambaNova Systems Inc
  • Samsung Electronics Co., Ltd.
  • TELUS
  • Wave Computing Inc
  • Xilinx, Inc.
  • XMOS Limited
  • Zero ASIC
简介目录
Product Code: IACT2227

Global Artificial Intelligence Chip Market Overview:

According to SPER Market Research, the Global Artificial Intelligence Chip Market is estimated to reach USD 443.98 billion by 2032 with a CAGR of 40.35%.

Specialized silicon chips termed artificial intelligence (AI) chips are used for machine learning and contain AI technology. In several business niches, AI aids in reducing or eliminating the risk to human life. As the amount of data has expanded, it has become increasingly important to develop systems that are more effective at addressing mathematical and computational issues. As a result, the bulk of the big businesses in the IT sector concentrates on creating AI chips and software. Furthermore, the market participants for artificial intelligence chips are expected to benefit from prospective growth prospects brought on by the development of autonomous robots. Additionally, some nations, particularly the U.S., have seen a yearly increase in the number of tech AI start-ups supported by different venture capitalists and venture capital funds, broadening the market. Several important stakeholders innovate to provide a focused platform. One benefit of Mythic's platform is its ability to conduct digital and analogue computations in memory, which improves performance, accuracy, and power efficiency.

Additionally, it is projected that the government would spend more on cyber security systems that incorporate real-time analytics & AI as well as the boom in demand for video surveillance & AI integration. During the forecast period, factors including rising investments in AI startups, the rising need for smart homes and cities, and the advent of quantum computing are anticipated to propel the expansion of the artificial intelligence chip market revenue. AI can provide emerging nations like India with the push they need to start smart city initiatives. Artificially intelligent tools and technology have enormous promise for altering networked digital households and smart cities. Additionally, the development of a chip with an integrated AI network has presented an opportunity for market participants in artificial intelligence chips. However, one of the biggest barriers to the expansion of the artificial intelligence chip business is a lack of competent labour. The majority of jobs, including testing, bug fixing, cloud installation, and others, are now handled by AI chips, but those who do these tasks often lack the necessary skill sets. On the other hand, the sector for artificial intelligence chips is predicted to benefit greatly from growing AI chip use in emerging nations and the creation of smarter robots. Recent advancements in developing nations like China, South Korea, Japan, and India, as well as widespread adoption of AI technology across a variety of industry verticals like media & advertising, finance, retail, healthcare, automotive & transportation, present the artificial intelligence chip market with abundant growth prospects.

Impact of COVID-19 on the Global Artificial Intelligence Chip Market:

In terms of year-over-year growth, the market is probably going to experience a modest decline. Due to industry lockdowns and shifting objectives, there will be a restricted adoption of AI in many end-user sectors, which is partly to blame for the impacted supply chains. There have been economic difficulties as a result of the ongoing COVID-19 outbreak. It is expected to wreak havoc on the supply chain and ultimately push businesses and whole sectors to reconsider and adjust to the global supply chain paradigm. Numerous manufacturing firms have stopped operations, which has adversely impacted the sector and supply chain. The adoption of hardware and software based on AI has been delayed as a result of this disruption. The industries have begun to rebuild their business models, and many SMEs and big industrial facilities have put a stop to or delayed any new technology update in their factories in order to recoup from the losses brought on by the lockout and economic downturn. With ed-tech businesses employing AI technology to deliver instruction during the lockdown, COVID-19 has had a favorable influence on the educational industry. AI tools have been used by ed-tech companies to improve students' online learning and virtual classroom experiences. Although some industries are benefiting from the epidemic, others are worse off as a result of it. The usage of AI is, nevertheless, anticipated to increase. Therefore, we may conclude that the COVID-19 will be the market driver for AI (chipsets) in a number of sectors.

Scope of the Report:

  • Market size available for years: 2019-2032
  • Base year considered: 2021
  • Forecast period: 2022-2032
  • Segments covered: By Chip Type, By Application, By Technology, By Processing Type, By Industry Vertical, By Hardware, By Function
  • Regions covered: North America, Europe, Asia Pacific, Latin America, Middle East and Africa
  • Companies Covered: Advanced Micro Devices, Alphabet Inc., Amazon Web Services, Apple, Fujitsu Limited, General Vision, Inc., Google Inc., Graphcore Limited, Huawei Technologies Co., Ltd., Intel Corporation, International Business Machines Corporation, Kalray Corporation, Koniku Inc , Mediatek, Inc., Micron Technology, Inc., Microsemi Corporation., Microsoft Corporation, Mythic, NVIDIA Corporation, NXP Semiconductors N.V., Qualcomm Technologies, Inc., SambaNova Systems Inc, Samsung Electronics Co., Ltd., Tenstorrent Inc, Wave Computing Inc, Xilinx, Inc., XMOS Limited, Zero ASIC.

Global Artificial Intelligence Chip Market Segmentation:

  • By Chip Type: Based on the Chip Type, Global Artificial Intelligence Chip Market is segmented as; GPU, ASIC, FPGA, CPU, Others.
  • By Application: Based on the Application, Global Artificial Intelligence Chip Market is segmented as; Natural Language Processing, Robotics, Computer Vision, Network Security, Machine Learning (Deep Learning, Supervised Learning, Reinforced Learning, Unsupervised Learning, Others) Context-aware Computing, Predictive Analysis.
  • By Technology: Based on the Technology, Global Artificial Intelligence Chip Market is segmented as; System-on-chip, System-in-package, Multi-chip module, Others.
  • By Processing Type: Based on the Processing Type, Global Artificial Intelligence Chip Market is segmented as; Edge and Cloud.
  • By Industry Vertical: Based on the Industry Vertical, Global Artificial Intelligence Chip Market is segmented as; Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, Manufacturing, Automotive, Agriculture, Cybersecurity, Human Resources, Law, Fintech, Government, Others.
  • By Hardware: Based on the Hardware, Global Artificial Intelligence Chip Market is segmented as; Processor, Memory, Network.
  • By Function: Based on the Function, Global Artificial Intelligence Chip Market is segmented as; Training and Inference.
  • By Region: Given that artificial intelligence chip technology has been used more widely in North America, it is anticipated that over the projection period, this region would account for the largest market share in the world for AI chips. This is due to the widespread usage of AI technology, growth in the popularity of smart gadgets, and the widespread use of AI chips in a variety of businesses. Due to the expanded use of AI technology and greater investment in AI start-ups, emerging nations, in particular the Asia-Pacific region, will see their share of the worldwide artificial intelligence (AI) chip market grow.

Table of Contents

1. Introduction

  • 1.1. Scope of the report
  • 1.2. Market segment analysis

2. Research Methodology

  • 2.1 Research data source
    • 2.1.1 Secondary data
    • 2.1.2 Primary data
    • 2.1.3 SPER's internal database
    • 2.1.4 Premium insight from KOL's
  • 2.2 Market size estimation
    • 2.2.1 Top-down and Bottom-up approach
  • 2.3 Data triangulation

3. Executive Summary

4. Market Dynamics

  • 4.1. Driver, Restraint, Opportunity and Challenges analysis
    • 4.1.1 Drivers
    • 4.1.2 Restraints
    • 4.1.3 Opportunities
    • 4.1.4 Challenges
  • 4.2. COVID-19 Impacts of the Global Artificial Intelligence Chip Market

5. Market variables and outlook

  • 5.1. SWOT analysis
    • 5.1.1 Strengths
    • 5.1.2 Weaknesses
    • 5.1.3 Opportunities
    • 5.1.4 Threats
  • 5.2. PESTEL analysis
    • 5.2.1 Political landscape
    • 5.2.2 Economic landscape
    • 5.2.3 Social landscape
    • 5.2.4 Technological landscape
    • 5.2.5 Environmental landscape
    • 5.2.6 Legal landscape
  • 5.3. PORTER'S five forces analysis
    • 5.3.1 Bargaining power of suppliers
    • 5.3.2 Bargaining power of Buyers
    • 5.3.3 Threat of Substitute
    • 5.3.4 Threat of new entrant
    • 5.3.5 Competitive rivalry
  • 5.4. Heat map analysis

6. Global Artificial Intelligence Chip Market, By Chip Type, 2019-2032 (USD Million)

  • 6.1 GPU
  • 6.2 ASIC
  • 6.3 FPGA
  • 6.4 CPU
  • 6.5 Others

7. Global Artificial Intelligence Chip Market, By Application, 2019-2032 (USD Million)

  • 7.1 Natural Language Processing (NLP)
  • 7.2 Robotics
  • 7.3 Computer Vision
  • 7.4 Network Security
  • 7.5 Machine Learning
    • 7.5.1 Deep Learning
    • 7.5.2 Supervised Learning
    • 7.5.3 Reinforced Learning
    • 7.5.4 Unsupervised Learning
    • 7.5.5 Others
  • 7.6 Context-aware Computing
  • 7.7 Predictive Analysis

8 Global Artificial Intelligence Chip Market, By Technology, 2019-2032 (USD Million)

  • 8.1 System-on-chip (SoC)
  • 8.2 System-in-package (SIP)
  • 8.3 Multi-chip module
  • 8.4 Others

9. Global Artificial Intelligence Chip Market, By Processing Type, 2019-2032 (USD Million)

  • 9.1 Edge
  • 9.2 Cloud

10. Global Artificial Intelligence Chip Market, By Industry Vertical, 2019-2032 (USD Million)

  • 10.1 Media & Advertising
  • 10.2 BFSI
  • 10.3 IT & Telecom
  • 10.4 Retail
  • 10.5 Healthcare
  • 10.6 Automotive & Transportation
  • 10.7 Manufacturing
  • 10.8 Automotive
  • 10.9 Agriculture
  • 10.10 Cybersecurity
  • 10.11 Human Resources
  • 10.12 Law
  • 10.13 Fintech
  • 10.14 Government
  • 10.15 Others

11. Global Artificial Intelligence Chip Market, By Hardware, 2019-2032 (USD Million)

  • 11.1. Processor
  • 11.2. Memory
  • 11.3. Network

12. Global Artificial Intelligence Chip Market, By Function, 2019-2032 (USD Million)

  • 12.1 Training
  • 12.2 Inference

13. Global Artificial Intelligence Chip Market, By Region, 2019-2032 (USD Million)

  • 13.1 North America
    • 13.1.1. United States
    • 13.1.2. Canada
    • 13.1.3. Mexico
  • 13.2 Europe
    • 13.2.1. Germany
    • 13.2.2. United Kingdom
    • 13.2.3. France
    • 13.2.4. Italy
    • 13.2.5. Spain
    • 13.2.6. Rest of Europe
  • 13.3 Asia-Pacific
    • 13.3.1. China
    • 13.3.2. Japan
    • 13.3.3. India
    • 13.3.4. Australia
    • 13.3.5. South Korea
    • 13.3.6. Rest of Asia-Pacific
  • 13.4 South America
    • 13.4.1. Brazil
    • 13.4.2. Argentina
    • 13.4.3. Rest of South America
  • 13.5 Middle East & Africa
    • 13.5.1. Kingdom of Saudi Arabia
    • 13.5.2. United Arab Emirates
    • 13.5.3. Rest of Middle East & Africa

14. Company Profiles

  • 14.1 Advanced Micro Devices
    • 14.1.1 Company details
    • 14.1.2 Financial outlook
    • 14.1.3 Product summary
    • 14.1.4 Recent developments
  • 14.2 Alphabet Inc.
    • 14.2.1 Company details
    • 14.2.2 Financial outlook
    • 14.2.3 Product summary
    • 14.2.4 Recent developments
  • 14.3 Amazon Web Services
    • 14.3.1 Company details
    • 14.3.2 Financial outlook
    • 14.3.3 Product summary
    • 14.3.4 Recent developments
  • 14.4 Apple
    • 14.4.1 Company details
    • 14.4.2 Financial outlook
    • 14.4.3 Product summary
    • 14.4.4 Recent developments
  • 14.5 Fujitsu Limited
    • 14.5.1 Company details
    • 14.5.2 Financial outlook
    • 14.5.3 Product summary
    • 14.5.4 Recent developments
  • 14.6 General Vision, Inc.
    • 14.6.1 Company details
    • 14.6.2 Financial outlook
    • 14.6.3 Product summary
    • 14.6.4 Recent developments
  • 14.7 Google Inc.
    • 14.7.1 Company details
    • 14.7.2 Financial outlook
    • 14.7.3 Product summary
    • 14.7.4 Recent developments
  • 14.8 Graphcore Limited
    • 14.8.1 Company details
    • 14.8.2 Financial outlook
    • 14.8.3 Product summary
    • 14.8.4 Recent developments
  • 14.9 Huawei Technologies Co., Ltd.
    • 14.9.1 Company details
    • 14.9.2 Financial outlook
    • 14.9.3 Product summary
    • 14.9.4 Recent developments
  • 14.10 Intel Corporation
    • 14.10.1 Company details
    • 14.10.2 Financial outlook
    • 14.10.3 Product summary
    • 14.10.4 Recent developments
  • 14.11 International Business Machines Corporation
    • 14.11.1 Company details
    • 14.11.2 Financial outlook
    • 14.11.3 Product summary
    • 14.11.4 Recent developments
  • 14.12 Kalray Corporation
    • 14.12.1 Company details
    • 14.12.2 Financial outlook
    • 14.12.3 Product summary
    • 14.12.4 Recent developments
  • 14.13 Koniku Inc
    • 14.13.1 Company details
    • 14.13.2 Financial outlook
    • 14.13.3 Product summary
    • 14.13.4 Recent developments
  • 14.14 Mediatek, Inc.
    • 14.14.1 Company details
    • 14.14.2 Financial outlook
    • 14.14.3 Product summary
    • 14.14.4 Recent developments
  • 14.15 Micron Technology, Inc.
    • 14.15.1 Company details
    • 14.15.2 Financial outlook
    • 14.15.3 Product summary
    • 14.15.4 Recent developments
  • 14.16 Microsemi Corporation.
    • 14.16.1 Company details
    • 14.16.2 Financial outlook
    • 14.16.3 Product summary
    • 14.16.4 Recent developments
  • 14.17 Microsoft Corporation
    • 14.17.1 Company details
    • 14.17.2 Financial outlook
    • 14.17.3 Product summary
    • 14.17.4 Recent developments
  • 14.18 Mythic
    • 14.18.1 Company details
    • 14.18.2 Financial outlook
    • 14.18.3 Product summary
    • 14.18.4 Recent developments
  • 14.19 NVIDIA Corporation
    • 14.19.1 Company details
    • 14.19.2 Financial outlook
    • 14.19.3 Product summary
    • 14.19.4 Recent developments
  • 14.20 NXP Semiconductors N.V.
    • 14.20.1 Company details
    • 14.20.2 Financial outlook
    • 14.20.3 Product summary
    • 14.20.4 Recent developments
  • 14.21 Qualcomm Technologies, Inc.
    • 14.21.1 Company details
    • 14.21.2 Financial outlook
    • 14.21.3 Product summary
    • 14.21.4 Recent developments
  • 14.22 SambaNova Systems Inc
    • 14.22.1 Company details
    • 14.22.2 Financial outlook
    • 14.22.3 Product summary
    • 14.22.4 Recent developments
  • 14.23 Samsung Electronics Co., Ltd.
    • 14.23.1 Company details
    • 14.23.2 Financial outlook
    • 14.23.3 Product summary
    • 14.23.4 Recent developments
  • 14.24 TELUS
    • 14.24.1 Company details
    • 14.24.2 Financial outlook
    • 14.24.3 Product summary
    • 14.24.4 Recent developments
  • 14.25 Wave Computing Inc
    • 14.25.1 Company details
    • 14.25.2 Financial outlook
    • 14.25.3 Product summary
    • 14.25.4 Recent developments
  • 14.26 Xilinx, Inc.
    • 14.26.1 Company details
    • 14.26.2 Financial outlook
    • 14.26.3 Product summary
    • 14.26.4 Recent developments
  • 14.27 XMOS Limited
    • 14.27.1 Company details
    • 14.27.2 Financial outlook
    • 14.27.3 Product summary
    • 14.27.4 Recent developments
  • 14.28 Zero ASIC
    • 14.28.1 Company details
    • 14.28.2 Financial outlook
    • 14.28.3 Product summary
    • 14.28.4 Recent developments