 | • レポートコード：MRC2304D058 • 出版社/出版日：Transparency Market Research / 2023年1月23日 • レポート形態：英文、PDF、178ページ • 納品方法：Eメール • 産業分類：電子＆半導体 |
| Single User | ￥857,660 (USD5,795) | ▷ お問い合わせ |
| Multi User | ￥1,301,660 (USD8,795) | ▷ お問い合わせ |
| Corporate License | ￥1,745,660 (USD11,795) | ▷ お問い合わせ |
• お支払方法：銀行振込（納品後、ご請求書送付）
レポート概要
| Transparency Market Research社の当調査レポートでは、人工知能チップセットの世界市場を分析し、市場実態を明らかにしています。本書は、序論、エグゼクティブサマリー、市場動向、関連産業＆主要指標分析、チップセット種類別（GPU、ASIC、FPGA、CPU、その他）分析、デプロイメント別（クラウドベースAIチップセット、エッジベースAIチップセット）分析、用途別（自然言語処理（NLP）、コンピュータビジョン、ロボット工学、ネットワークセキュリティ）分析、エンドユーザー別（自動車、IT＆通信、医療、家電、その他）分析、地域別（北米、ヨーロッパ、アジア太平洋、中東・アフリカ、南米）分析、競争分析、企業情報などを収録しています。また、AMD、Alphabet、NVIDIA Corporation、Intel Corporation、IBM、Apple、Huawei、MediaTek、Google、Qualcomm、Baidu、Graphcore、Xilinxなどの企業情報を掲載しています。 ・序論 ・エグゼクティブサマリー ・市場動向 ・関連産業＆主要指標分析 ・世界の人工知能チップセット市場規模：チップセット種類別 - GPUの市場規模 - ASICの市場規模 - FPGAの市場規模 - CPUの市場規模 - その他チップセット種類の市場規模 ・世界の人工知能チップセット市場規模：デプロイメント別 - クラウドベースAIチップセットの市場規模 - エッジベースAIチップセットの市場規模 ・世界の人工知能チップセット市場規模：用途別 - 自然言語処理（NLP）における市場規模 - コンピュータビジョンにおける市場規模 - ロボット工学における市場規模 - ネットワークセキュリティにおける市場規模 ・世界の人工知能チップセット市場規模：エンドユーザー別 - 自動車における市場規模 - IT＆通信における市場規模 - 医療における市場規模 - 家電における市場規模 - その他エンドユーザーにおける市場規模 ・世界の人工知能チップセット市場規模：地域別 - 北米の人工知能チップセット市場規模 - ヨーロッパの人工知能チップセット市場規模 - アジア太平洋の人工知能チップセット市場規模 - 中東・アフリカの人工知能チップセット市場規模 - 南米の人工知能チップセット市場規模 ・競争状況 ・企業情報 |
Artificial Intelligence Chipset Market – Scope of Report
TMR’s report on the global artificial intelligence chipset market studies the past as well as the current growth trends and opportunities to gain valuable insights of the indicators of the market during the forecast period from 2022 to 2031. The report provides revenue of the global artificial intelligence chipset market for the period 2017–2031, considering 2022 as the base year and 2031 as the forecast year. The report also provides the compound annual growth rate (CAGR %) of the global artificial intelligence chipset market from 2022 to 2031.
The report has been prepared after an extensive research. Primary research involved bulk of the research efforts, wherein analysts carried out interviews with key opinion leaders, industry leaders, and opinion makers. Secondary research involved referring to key players’ product literature, annual reports, press releases, and relevant documents to understand the artificial intelligence chipset market.
Secondary research also included Internet sources, statistical data from government agencies, websites, and trade associations. Analysts employed a combination of top-down and bottom-up approaches to study various attributes of the global artificial intelligence chipset market.
The report includes an elaborate executive summary, along with a snapshot of the growth behavior of various segments included in the scope of the study. Moreover, the report sheds light on the changing competitive dynamics in the global artificial intelligence chipset market. These serve as valuable tools for existing market players as well as for entities interested in participating in the global artificial intelligence chipset market.
The report delves into the competitive landscape of the global artificial intelligence chipset market. Key players operating in the global artificial intelligence chipset market have been identified and each one of these has been profiled, in terms of various attributes. Company overview, financial standings, recent developments, and SWOT are attributes of players in the global artificial intelligence chipset market profiled in this report.
RESEARCH METHODOLOGY
The research methodology will be a combination of exhaustive primary and secondary research to analyze the market artificial intelligence chipset.
Secondary Research
Secondary research includes a search of company literature, technical writing, patent data, Internet sources, and statistical data from government websites, trade associations, and agencies. This has proven to be the most reliable, effective, and successful approach for obtaining precise data, capturing industry participants’ insights, and recognizing business opportunities.
Secondary research sources that we typically refer, but are not limited to:
Company websites, presentations, annual reports, white papers, technical paper, product brochure
Internal and external proprietary databases and relevant patents
National government documents, statistical databases, and market reports
News articles, press releases, and webcasts specific to companies operating in the market
Specific Secondary Sources:
• Industry Sources:
o WorldWideScience.org
o Elsevier, Inc.
o National Institutes of Health (NIH)
o PubMed
o NCBI
o Department of Health Care Service
• Trade Data Sources
o Trade Map
o UN Comtrade
o Trade Atlas
• Company Information
o OneSource Business Browser
o Hoover’s
o Factiva
o Bloomberg
• Mergers & Acquisitions
o Thomson Mergers & Acquisitions
o MergerStat
o Profound
Primary Research
During the course of research, we conduct in-depth interviews and discussions with a wide range of key industry participants and opinion leaders. Primary research represents bulk of research efforts, supplemented by extensive secondary research.
We conduct primary interviews on the ongoing basis with industry participants and commentators to validate data and analysis. A typical research interview fulfills the following functions:
Provides first-hand information on market size, market trends, growth trends, competitive landscape, outlook, etc.
Helps in validating and strengthening secondary research findings
Further develops the analysis team’s expertise and market understanding
Primary research involves e-mail interactions, telephonic interviews, as well as face-to-face interviews for each market, category, segment, and sub-segment across geographies
Participants who typically take part in such a process include, but are not limited to:
Industry participants: Marketing/product managers, market intelligence managers, and regional sales managers
Purchasing/Sourcing managers, technical personnel, distributors
Outside experts: Investment bankers, valuation experts, and research analysts specializing in specific markets
Key opinion leaders specializing in different areas corresponding to different industry verticals
List of primary participants, but not limited to:
Advanced Oncotherapy PLC
Danfysik A/S
Hitachi, Ltd.
IBA Worldwide
Mevion Medical Systems, Inc.
Data Triangulation: Information culled from “Secondary & Primary Sources” is cross-checked with “TMR Knowledge Repository”, which is updated every quarter.
Market Estimation: Market size estimations involved in-depth study of product features, technology updates, geographic presence, product demand, sales data (value or volume), historical year-on-year growth, and others. Other approaches were also utilized to derive market size and forecasts. Where no hard data was available, we employed modeling techniques in order to produce comprehensive datasets. A rigorous methodology has been adopted, wherein the available hard data are cross-referenced with the following data types to produce estimates:
Demographic Data: Healthcare expenditure, inflation rates, and others
Industry Indicators: R&D investment, technology stage, and infrastructure, sector growth, and facilities
Market Forecasting: Market forecasts for various segments are derived taking into account drivers, restraints/challenges, and opportunities prevailing in the market and considering advantages/disadvantages of segments/sub-segments over other segments/sub-segments. Business environment, historical sales pattern, unmet needs, competitive intensity, and country-wise surgery data are some of the other pivotal factors, which are considered to derive market forecasts.
1. Preface
1.1. Market Introduction
1.2. Market and Segments Definition
1.3. Market Taxonomy
1.4. Research Methodology
1.5. Assumption and Acronyms
2. Executive Summary
2.1. Global Artificial Intelligence Chipset Market Overview
2.2. Regional Outline
2.3. Industry Outline
2.4. Market Dynamics Snapshot
2.5. Competition Blueprint
3. Market Dynamics
3.1. Macro-economic Factors
3.2. Drivers
3.3. Restraints
3.4. Opportunities
3.5. Key Trends
3.6. Regulatory Framework
4. Associated Industry and Key Indicator Assessment
4.1. Parent Industry Overview – Global Energy Storage Industry Overview
4.2. Supply Chain Analysis
4.3. Pricing Analysis
4.4. Technology Roadmap
4.5. Industry SWOT Analysis
4.6. Porter Five Forces Analysis
4.7. COVID-19 Impact and Recovery Analysis
5. Global Artificial Intelligence Chipset Market Analysis, by Chipset Type
5.1. Artificial Intelligence Chipset Market Size (US$ Mn) and Volume (Million Units) Analysis & Forecast, by Chipset Type, 2017–2031
5.1.1. GPU
5.1.2. ASIC
5.1.3. FPGA
5.1.4. CPU
5.1.5. Others
5.2. Market Attractiveness Analysis, By Chipset Type
6. Global Artificial Intelligence Chipset Market Analysis, by Deployment
6.1. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by Deployment, 2017–2031
6.1.1. Cloud-based AI chips
6.1.2. Edge-based AI chips
6.2. Market Attractiveness Analysis, By Deployment
7. Global Artificial Intelligence Chipset Market Analysis, by Application
7.1. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by Application, 2017–2031
7.1.1. Natural Language Processing (NLP)
7.1.2. Computer Vision
7.1.3. Robotics
7.1.4. Network security
7.2. Market Attractiveness Analysis, By Application
8. Global Artificial Intelligence Chipset Market Analysis, by End-use Industry
8.1. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by End-use Industry, 2017–2031
8.1.1. Automotive
8.1.2. IT and Telecommunication
8.1.3. Healthcare
8.1.4. Consumer Electronics
8.1.5. BFSI
8.1.6. Industrial
8.1.7. Others
8.2. Market Attractiveness Analysis, By End-use Industry
9. Global Artificial Intelligence Chipset Market Analysis and Forecast by Region
9.1. Artificial Intelligence Chipset Market Size (US$ Mn) and Volume (Million Units) Analysis & Forecast, by Region, 2017–2031
9.1.1. North America
9.1.2. Europe
9.1.3. Asia Pacific
9.1.4. Middle East & Africa
9.1.5. South America
9.2. Market Attractiveness Analysis, By Region
10. North America Artificial Intelligence Chipset Market Analysis and Forecast
10.1. Market Snapshot
10.2. Drivers and Restraints: Impact Analysis
10.3. Artificial Intelligence Chipset Market Size (US$ Mn) and Volume (Million Units) Analysis & Forecast, by Chipset Type, 2017–2031
10.3.1. GPU
10.3.2. ASIC
10.3.3. FPGA
10.3.4. CPU
10.3.5. Others
10.4. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by Deployment, 2017–2031
10.4.1. Cloud-based AI chips
10.4.2. Edge-based AI chips
10.5. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by Application, 2017–2031
10.5.1. Natural Language Processing (NLP)
10.5.2. Computer Vision
10.5.3. Robotics
10.5.4. Network security
10.6. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by End-use Industry, 2017–2031
10.6.1. Automotive
10.6.2. IT and Telecommunication
10.6.3. Healthcare
10.6.4. Consumer Electronics
10.6.5. BFSI
10.6.6. Industrial
10.6.7. Others
10.7. Artificial Intelligence Chipset Market Size (US$ Mn) And Volume (Million Units) Analysis & Forecast, by Country and Sub-region, 2017–2031
10.7.1. U.S.
10.7.2. Canada
10.7.3. Rest of North America
10.8. Market Attractiveness Analysis
10.8.1. By Chipset Type
10.8.2. By Deployment
10.8.3. By Application
10.8.4. By End-use Industry
10.8.5. By Country/Sub-region
11. Europe Artificial Intelligence Chipset Market Analysis and Forecast
11.1. Market Snapshot
11.2. Drivers and Restraints: Impact Analysis
11.3. Artificial Intelligence Chipset Market Size (US$ Mn) and Volume (Million Units) Analysis & Forecast, by Chipset Type, 2017–2031
11.3.1. GPU
11.3.2. ASIC
11.3.3. FPGA
11.3.4. CPU
11.3.5. Others
11.4. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by Deployment, 2017–2031
11.4.1. Cloud-based AI chips
11.4.2. Edge-based AI chips
11.5. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by Application, 2017–2031
11.5.1. Natural Language Processing (NLP)
11.5.2. Computer Vision
11.5.3. Robotics
11.5.4. Network security
11.6. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by End-use Industry, 2017–2031
11.6.1. Automotive
11.6.2. IT and Telecommunication
11.6.3. Healthcare
11.6.4. Consumer Electronics
11.6.5. BFSI
11.6.6. Industrial
11.6.7. Others
11.7. Artificial Intelligence Chipset Market Size (US$ Mn) And Volume (Million Units) Analysis & Forecast, by Country and Sub-region, 2017–2031
11.7.1. U.K.
11.7.2. Germany
11.7.3. France
11.7.4. Rest of Europe
11.8. Market Attractiveness Analysis
11.8.1. By Chipset Type
11.8.2. By Deployment
11.8.3. By Application
11.8.4. By End-use Industry
11.8.5. By Country/Sub-region
12. Asia Pacific Artificial Intelligence Chipset Market Analysis and Forecast
12.1. Market Snapshot
12.2. Drivers and Restraints: Impact Analysis
12.3. Artificial Intelligence Chipset Market Size (US$ Mn) and Volume (Million Units) Analysis & Forecast, by Chipset Type, 2017–2031
12.3.1. GPU
12.3.2. ASIC
12.3.3. FPGA
12.3.4. CPU
12.3.5. Others
12.4. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by Deployment, 2017–2031
12.4.1. Cloud-based AI chips
12.4.2. Edge-based AI chips
12.5. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by Application, 2017–2031
12.5.1. Natural Language Processing (NLP)
12.5.2. Computer Vision
12.5.3. Robotics
12.5.4. Network security
12.6. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by End-use Industry, 2017–2031
12.6.1. Automotive
12.6.2. IT and Telecommunication
12.6.3. Healthcare
12.6.4. Consumer Electronics
12.6.5. BFSI
12.6.6. Industrial
12.6.7. Others
12.7. Artificial Intelligence Chipset Market Size (US$ Mn) And Volume (Million Units) Analysis & Forecast, by Country and Sub-region, 2017–2031
12.7.1. China
12.7.2. Japan
12.7.3. India
12.7.4. South Korea
12.7.5. ASEAN
12.7.6. Rest of Asia Pacific
12.8. Market Attractiveness Analysis
12.8.1. By Chipset Type
12.8.2. By Deployment
12.8.3. By Application
12.8.4. By End-use Industry
12.8.5. By Country/Sub-region
13. Middle East & Africa Artificial Intelligence Chipset Market Analysis and Forecast
13.1. Market Snapshot
13.2. Drivers and Restraints: Impact Analysis
13.3. Artificial Intelligence Chipset Market Size (US$ Mn) and Volume (Million Units) Analysis & Forecast, by Chipset Type, 2017–2031
13.3.1. GPU
13.3.2. ASIC
13.3.3. FPGA
13.3.4. CPU
13.3.5. Others
13.4. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by Deployment, 2017–2031
13.4.1. Cloud-based AI chips
13.4.2. Edge-based AI chips
13.5. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by Application, 2017–2031
13.5.1. Natural Language Processing (NLP)
13.5.2. Computer Vision
13.5.3. Robotics
13.5.4. Network security
13.6. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by End-use Industry, 2017–2031
13.6.1. Automotive
13.6.2. IT and Telecommunication
13.6.3. Healthcare
13.6.4. Consumer Electronics
13.6.5. BFSI
13.6.6. Industrial
13.6.7. Others
13.7. Artificial Intelligence Chipset Market Size (US$ Mn) and Volume (Million Units) Analysis & Forecast, by Country and Sub-region, 2017–2031
13.7.1. GCC
13.7.2. South Africa
13.7.3. Rest of Middle East & Africa
13.8. Market Attractiveness Analysis
13.8.1. By Chipset Type
13.8.2. By Deployment
13.8.3. By End-use Industry
13.8.4. By Country/Sub-region
14. South America Artificial Intelligence Chipset Market Analysis and Forecast
14.1. Market Snapshot
14.2. Drivers and Restraints: Impact Analysis
14.3. Artificial Intelligence Chipset Market Size (US$ Mn) and Volume (Million Units) Analysis & Forecast, by Chipset Type, 2017–2031
14.3.1. GPU
14.3.2. ASIC
14.3.3. FPGA
14.3.4. CPU
14.3.5. Others
14.4. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by Deployment, 2017–2031
14.4.1. Cloud-based AI chips
14.4.2. Edge-based AI chips
14.5. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by Application, 2017–2031
14.5.1. Natural Language Processing (NLP)
14.5.2. Computer Vision
14.5.3. Robotics
14.5.4. Network security
14.6. Artificial Intelligence Chipset Market Size (US$ Mn) Analysis & Forecast, by End-use Industry, 2017–2031
14.6.1. Automotive
14.6.2. IT and Telecommunication
14.6.3. Healthcare
14.6.4. Consumer Electronics
14.6.5. BFSI
14.6.6. Industrial
14.6.7. Others
14.7. Artificial Intelligence Chipset Market Size (US$ Mn) And Volume (Million Units) Analysis & Forecast, by Country and Sub-region, 2017–2031
14.7.1. Brazil
14.7.2. Rest of South America
14.8. Market Attractiveness Analysis
14.8.1. By Chipset Type
14.8.2. By Deployment
14.8.3. By End-use Industry
14.8.4. By Country/Sub-region
15. Competition Assessment
15.1. Global Artificial Intelligence Chipset Market Competition Matrix – a Dashboard View
15.1.1. Global Artificial Intelligence Chipset Market Company Share Analysis, by Value (2021)
15.1.2. Technological Differentiator
16. Company Profiles (Global Manufacturers/Suppliers)
16.1. AMD
16.1.1. Overview
16.1.2. Product Portfolio
16.1.3. Sales Footprint
16.1.4. Key Subsidiaries or Distributors
16.1.5. Strategy and Recent Developments
16.1.6. Key Financials
16.2. Alphabet
16.2.1. Overview
16.2.2. Product Portfolio
16.2.3. Sales Footprint
16.2.4. Key Subsidiaries or Distributors
16.2.5. Strategy and Recent Developments
16.2.6. Key Financials
16.3. NVIDIA Corporation
16.3.1. Overview
16.3.2. Product Portfolio
16.3.3. Sales Footprint
16.3.4. Key Subsidiaries or Distributors
16.3.5. Strategy and Recent Developments
16.3.6. Key Financials
16.4. Intel Corporation
16.4.1. Overview
16.4.2. Product Portfolio
16.4.3. Sales Footprint
16.4.4. Key Subsidiaries or Distributors
16.4.5. Strategy and Recent Developments
16.4.6. Key Financials
16.5. IBM
16.5.1. Overview
16.5.2. Product Portfolio
16.5.3. Sales Footprint
16.5.4. Key Subsidiaries or Distributors
16.5.5. Strategy and Recent Developments
16.5.6. Key Financials
16.6. Apple
16.6.1. Overview
16.6.2. Product Portfolio
16.6.3. Sales Footprint
16.6.4. Key Subsidiaries or Distributors
16.6.5. Strategy and Recent Developments
16.6.6. Key Financials
16.7. Huawei
16.7.1. Overview
16.7.2. Product Portfolio
16.7.3. Sales Footprint
16.7.4. Key Subsidiaries or Distributors
16.7.5. Strategy and Recent Developments
16.7.6. Key Financials
16.8. MediaTek
16.8.1. Overview
16.8.2. Product Portfolio
16.8.3. Sales Footprint
16.8.4. Key Subsidiaries or Distributors
16.8.5. Strategy and Recent Developments
16.8.6. Key Financials
16.9. Google
16.9.1. Overview
16.9.2. Product Portfolio
16.9.3. Sales Footprint
16.9.4. Key Subsidiaries or Distributors
16.9.5. Strategy and Recent Developments
16.9.6. Key Financials
16.10. Qualcomm
16.10.1. Overview
16.10.2. Product Portfolio
16.10.3. Sales Footprint
16.10.4. Key Subsidiaries or Distributors
16.10.5. Strategy and Recent Developments
16.10.6. Key Financials
16.11. Baidu
16.11.1. Overview
16.11.2. Product Portfolio
16.11.3. Sales Footprint
16.11.4. Key Subsidiaries or Distributors
16.11.5. Strategy and Recent Developments
16.11.6. Key Financials
16.12. Graphcore
16.12.1. Overview
16.12.2. Product Portfolio
16.12.3. Sales Footprint
16.12.4. Key Subsidiaries or Distributors
16.12.5. Strategy and Recent Developments
16.12.6. Key Financials
16.13. Xilinx
16.13.1. Overview
16.13.2. Product Portfolio
16.13.3. Sales Footprint
16.13.4. Key Subsidiaries or Distributors
16.13.5. Strategy and Recent Developments
16.13.6. Key Financials
17. Recommendation
17.1. Opportunity Assessment
17.1.1. By Chipset Type
17.1.2. By Deployment
17.1.3. By Application
17.1.4. By End-use Industry
17.1.5. By Region/Country/Sub-region