Artificiële intelligentie Spaandersmarkt Grootte, Statistieken, Delen [2022-2030]

Artificiële intelligentie Spaandermarktgrootte, Deel & Trends Analyse, Per Chipset Type {Graphic Processing Unit (GPU), Application Specific Integrated Circuits (ASIC), Field Programmable Gate Arrays (FPCA's), Neural Network Processing (NNP) e.a., Computing Type (Cloud and Edge Computing), Application (Machine Learning, Computer Vision, Robotic Process Automation, Context - Aware Computing, Predictive Analysis, and Natural Language Process), Function (Training and Interface), End User Industry (Media and Advertising, BFSI (Banking, Financial Services and Insurance), IT & Telecom, Retail, Healthcare, Automotive & Transport, Landbouw & Defense) Region, prognoseperiode 2022 - 2030

Rapport-ID : RI_673745 | Laatst bijgewerkt : October 2024 | Formaat : ms word ms Excel PPT PDF

Dit rapport bevat de meest actuele marktcijfers, statistieken en gegevens
Table of Content

1.Introduction

1.1. Market Introduction
1.2. Market Research Methodology
1.2.1. Research Process
1.2.2. Primary Research
1.2.3. Secondary Research
1.2.4. Data Collection Technique
1.2.5. Data Sources
1.3. Market Estimation Methodology
1.3.1. Limitations Of The Study
1.4. Product Picture Of Insulated Gate Bipolar Transistors
1.5. Global Discrete Semiconductor: Classification
1.6. Geographic Scope
1.7. Years Considered For The Study
1.8. Research Methodology In Brief
1.9. Parent Market Overview
1.10. Overall Artificial Intelligence Chip Market Regional Demand
1.11. Research Programs/Design
1.12. Market Breakdown And Data Triangulation Approach
1.13. Data Source
1.14. Secondary Sources
1.15. Primary Sources
1.16. Primary Interviews
1.17. Average Primary Breakdown Ratio

2. Market Dynamics

2.1. Drivers
2.1.1. Drivers
2.2. Restraints
2.2.1. Restraints
2.3. Opportunity
2.3.1. Impact Forces On Market Dynamics
2.3.2. Impact Forces During The Forecast Years
2.4. Industry Value Chain
2.4.1. Upstream Analysis
2.4.2. Downstream Analysis
2.4.3. Distribution Channel
2.4.4. Direct Channel
2.4.5. Indirect Channel
2.5. Potential Customers
2.6. Manufacturing/Operational Cost Analysis
2.7. Pricing Analysis By Region
2.8. Key Technology Landscape
2.9. Regulatory Analysis
2.10. Porter\'s Analysis
2.10.1. Supplier Power
2.10.2. Buyer Power
2.10.3. Substitution Threat
2.10.4. Threat From New Entry
2.10.5. Competitive Rivalry
2.11. Pestle Analysis
2.12. Political Factors
2.13. Economic Factors
2.14. Social Factors
2.15. Technological Factor
2.16. Environmental Factors
2.17. Legal Factors

3. Global Artificial Intelligence Chip Market Segmentation, Revenue (USD Billion), (2022-2030)

3.1. By CHIPSET TYPE
3.1.1. Graphic PROCESSING UNIT (GPU)
3.1.2. Application SPECIFIC INTEGRATED Circuits (ASIC)
3.1.3. Field PROGRAMMABLE Gate Arrays (FPCA\'s)
3.1.4. Neural NETWORK PROCESSING (NNP)
3.1.5. Others
3.2. By COMPUTING Type
3.2.1. Cloud
3.2.2. Edge
3.3. By Application
3.3.1. Machine LEARNING
3.3.2. Computer VISION
3.3.3. Robotic PROCESS AUTOMATION
3.3.4. Context - AWARE COMPUTING
3.3.5. Predictive ANALYSIS
3.3.6. Natural LANGUAGE PROCESS
3.4. By FUNCTION
3.4.1. Training
3.4.2. Interface
3.5. By END-USER INDUSTRY
3.5.1. Media And Advertising
3.5.2. BFSI
3.5.3. It And Telecom
3.5.4. Retail
3.5.5. Healthcare
3.5.6. Automotive AND Transportation
3.5.7. Agriculture
3.5.8. Defense

4. Global Artificial Intelligence Chip Market Overview, By Region

4.1. North America Market Revenue (USD Billion), By Countries, (2022-2030)
4.1.1. Us
4.1.1.1. By CHIPSET TYPE
4.1.1.2. By COMPUTING Type
4.1.1.3. By Application
4.1.1.4. By FUNCTION
4.1.1.5. By END-USER INDUSTRY
4.1.2. Canada
4.1.3. Mexico
4.2. Europe Market Revenue (USD Billion), By Countries, (2022-2030)
4.2.1. Germany
4.2.2. France
4.2.3. UK
4.2.4. Spain
4.2.5. Russia
4.2.6. Italy
4.2.7. Benelux
4.3. Asia Pacific Market Revenue (USD Billion), By Countries, (2022-2030)
4.3.1. China
4.3.2. Japan
4.3.3. Australia
4.3.4. South Korea
4.3.5. India
4.3.6. ASEAN
4.4. Latin America Market Revenue (USD Billion), By Countries, (2022-2030)
4.4.1. Brazil
4.4.2. Argentina
4.4.3. Chile
4.5. Middle East And Africa Market Revenue (USD Billion), By Countries, (2022-2030)
4.5.1. GCC
4.5.2. Turkey
4.5.3. South Africa

5. Global Artificial Intelligence Chip Market Revenue: Competitive Analysis, 2021

5.1. Key Strategies By Players
5.2. Revenue (UAD Billion And %), By Manufacturers, 2021
5.3. Player Positioning By Market Players, 2021

6. Competitive Analysis

6.1. NVidia
6.1.1. Business Overview
6.1.2. Business Financials (USD Billion)
6.1.3. Product Category, Type, And Specification
6.1.4. Main Business/Business Overview
6.1.5. Geographical Analysis
6.1.6. Recent Development
6.1.7. Swat Analysis
6.2. Microsemi Corporation,
6.3. Mythic, Inc.,
6.4. Nec Corporation,
6.5. Korea Electronic Certification Authority, Inc.
6.6. Nxp Semiconductors N.V.,
6.7. Qualcomm Incorporated,
6.8. Samsung Electronics Co. Ltd.,
6.9. Shanghai Think-Force Electronic Technology Co.
6.10. Sk Hynix, Inc.,
6.11. Softbank Group Corp. (Arm Holdings Plc),
6.12. Taiwan Semiconductor Manufacturing Company
6.13. Tenstorrent Inc.,
6.14. Texas Instruments Incorporat

7.Market Research Findings & Conclusion

Disclaimer
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