
Artificial Intelligence Chipset Market (Chipset Type: GPU, ASIC, FPGA, CPU, Others; Deployment: Cloud-based AI Chipsets, Edge-based AI Chipsets) - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2022-2031
Description
Artificial Intelligence Chipset Market (Chipset Type: GPU, ASIC, FPGA, CPU, Others; Deployment: Cloud-based AI Chipsets, Edge-based AI Chipsets) - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2022-2031
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:
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.
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:
- WorldWideScience.org
- Elsevier, Inc.
- National Institutes of Health (NIH)
- PubMed
- NCBI
- Department of Health Care Service
- Trade Data Sources
- Trade Map
- UN Comtrade
- Trade Atlas
- Company Information
- OneSource Business Browser
- Hoover’s
- Factiva
- Bloomberg
- Mergers & Acquisitions
- Thomson Mergers & Acquisitions
- MergerStat
- Profound
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.
Table of Contents
178 Pages
- 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
Pricing
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