Global Artificial Intelligence Chipset Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
The Global Artificial Intelligence Chipset Market is expected to grow from USD 6,235.84 Million in 2018 to USD 49,963.89 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 34.61%.
The positioning of the Global Artificial Intelligence Chipset Market vendors in FPNV Positioning Matrix are determined by Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) and placed into four quadrants (F: Forefront, P: Pathfinders, N: Niche, and V: Vital).
The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence Chipset Market including are Google LLC, IBM Corporation, Micron Technology, Qualcomm Technologies, Samsung Electronics, 11.1.2 Intel, 11.1.3 Xilinx, Advanced Micro Devices, Inc., Amazon Web Services, Fujitsu Ltd., General Vision, Graphcore, Huawei Technologies, Mellanox Technologies, Microsoft Corporation, and Nvidia Corporation.
On the basis of Technology, the Global Artificial Intelligence Chipset Market is studied across Computer Vision, Context-Aware Computing, Machine Learning, and Natural Language Processing.
On the basis of Hardware, the Global Artificial Intelligence Chipset Market is studied across Memory, Network, and Processor.
On the basis of Industry, the Global Artificial Intelligence Chipset Market is studied across Agriculture, Automotive, Fintech, Healthcare, Human Resources, Law, Manufacturing, Marketing, Retail, and Security.
For the detailed coverage of the study, the market has been geographically divided into the Americas, Asia-Pacific, and Europe, Middle East & Africa. The report provides details of qualitative and quantitative insights about the major countries in the region and taps the major regional developments in detail.
In the report, we have covered two proprietary models, the FPNV Positioning Matrix and Competitive Strategic Window. The FPNV Positioning Matrix analyses the competitive market place for the players in terms of product satisfaction and business strategy they adopt to sustain in the market. The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisitions strategies, geography expansion, research & development, new product introduction strategies to execute further business expansion and growth.
Research Methodology:
Our market forecasting is based on a market model derived from market connectivity, dynamics, and identified influential factors around which assumptions about the market are made. These assumptions are enlightened by fact-bases, put by primary and secondary research instruments, regressive analysis and an extensive connect with industry people. Market forecasting derived from in-depth understanding attained from future market spending patterns provides quantified insight to support your decision-making process. The interview is recorded, and the information gathered in put on the drawing board with the information collected through secondary research.
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players in the Global Artificial Intelligence Chipset Market
2. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments in the Global Artificial Intelligence Chipset Market
3. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets for the Global Artificial Intelligence Chipset Market
4. Market Diversification: Provides detailed information about new products launches, untapped geographies, recent developments, and investments in the Global Artificial Intelligence Chipset Market
5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players in the Global Artificial Intelligence Chipset Market
The report answers questions such as:
1. What is the market size of Artificial Intelligence Chipset market in the Global?
2. What are the factors that affect the growth in the Global Artificial Intelligence Chipset Market over the forecast period?
3. What is the competitive position in the Global Artificial Intelligence Chipset Market?
4. Which are the best product areas to be invested in over the forecast period in the Global Artificial Intelligence Chipset Market?
5. What are the opportunities in the Global Artificial Intelligence Chipset Market?
6. What are the modes of entering the Global Artificial Intelligence Chipset Market?
The positioning of the Global Artificial Intelligence Chipset Market vendors in FPNV Positioning Matrix are determined by Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) and placed into four quadrants (F: Forefront, P: Pathfinders, N: Niche, and V: Vital).
The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence Chipset Market including are Google LLC, IBM Corporation, Micron Technology, Qualcomm Technologies, Samsung Electronics, 11.1.2 Intel, 11.1.3 Xilinx, Advanced Micro Devices, Inc., Amazon Web Services, Fujitsu Ltd., General Vision, Graphcore, Huawei Technologies, Mellanox Technologies, Microsoft Corporation, and Nvidia Corporation.
On the basis of Technology, the Global Artificial Intelligence Chipset Market is studied across Computer Vision, Context-Aware Computing, Machine Learning, and Natural Language Processing.
On the basis of Hardware, the Global Artificial Intelligence Chipset Market is studied across Memory, Network, and Processor.
On the basis of Industry, the Global Artificial Intelligence Chipset Market is studied across Agriculture, Automotive, Fintech, Healthcare, Human Resources, Law, Manufacturing, Marketing, Retail, and Security.
For the detailed coverage of the study, the market has been geographically divided into the Americas, Asia-Pacific, and Europe, Middle East & Africa. The report provides details of qualitative and quantitative insights about the major countries in the region and taps the major regional developments in detail.
In the report, we have covered two proprietary models, the FPNV Positioning Matrix and Competitive Strategic Window. The FPNV Positioning Matrix analyses the competitive market place for the players in terms of product satisfaction and business strategy they adopt to sustain in the market. The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisitions strategies, geography expansion, research & development, new product introduction strategies to execute further business expansion and growth.
Research Methodology:
Our market forecasting is based on a market model derived from market connectivity, dynamics, and identified influential factors around which assumptions about the market are made. These assumptions are enlightened by fact-bases, put by primary and secondary research instruments, regressive analysis and an extensive connect with industry people. Market forecasting derived from in-depth understanding attained from future market spending patterns provides quantified insight to support your decision-making process. The interview is recorded, and the information gathered in put on the drawing board with the information collected through secondary research.
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players in the Global Artificial Intelligence Chipset Market
2. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments in the Global Artificial Intelligence Chipset Market
3. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets for the Global Artificial Intelligence Chipset Market
4. Market Diversification: Provides detailed information about new products launches, untapped geographies, recent developments, and investments in the Global Artificial Intelligence Chipset Market
5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players in the Global Artificial Intelligence Chipset Market
The report answers questions such as:
1. What is the market size of Artificial Intelligence Chipset market in the Global?
2. What are the factors that affect the growth in the Global Artificial Intelligence Chipset Market over the forecast period?
3. What is the competitive position in the Global Artificial Intelligence Chipset Market?
4. Which are the best product areas to be invested in over the forecast period in the Global Artificial Intelligence Chipset Market?
5. What are the opportunities in the Global Artificial Intelligence Chipset Market?
6. What are the modes of entering the Global Artificial Intelligence Chipset Market?
1. PREFACE
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. RESEARCH & FORECASTING
2.1. Research Methodology
2.1.1. Research Process
2.1.2. Research Framework
2.1.3. Research Reliability & Validity
2.1.4. Research Assumptions
2.2. Forecasting Methodology
2.3. Research Outcome
2.3.1. 360iResearch Competitive Strategic Window
2.3.1.1. Leverage Zone
2.3.1.2. Vantage Zone
2.3.1.3. Speculative Zone
2.3.1.4. Bottleneck Zone
2.3.2. 360iResearch FPNV Positioning Matrix
2.3.2.1. 360iResearch Quadrants
2.3.2.1.1. Forefront
2.3.2.1.2. Pathfinders
2.3.2.1.3. Niche
2.3.2.1.4. Vital
2.3.2.2. Business Strategy
2.3.2.2.1. Business Growth
2.3.2.2.2. Industry Coverage
2.3.2.2.3. Financial Viability
2.3.2.2.4. Channel Support
2.3.2.3. Product Satisfaction
2.3.2.3.1. Value for Money
2.3.2.3.2. Ease of Use
2.3.2.3.3. Product Features
2.3.2.3.4. Customer Support
3. EXECUTIVE SUMMARY
3.1. Outlook in the Artificial Intelligence Chipset Market
3.2. Opportunities in the Artificial Intelligence Chipset Market
4. PREMIUM INSIGHT
4.1. Market Connectivity
4.2. Market Dynamics
4.2.1. Drivers
4.2.2. Restraints
4.2.3. Opportunities
4.2.4. Challenges
4.3. Porter’s Five Forces Analysis
4.3.1. Threat of New Entrants
4.3.2. Threat of Substitutes
4.3.3. Bargaining Power of Customers
4.3.4. Bargaining Power of Suppliers
4.3.5. Industry Rivalry
4.4. Industry Trends
5. GLOBAL ARTIFICIAL INTELLIGENCE CHIPSET MARKET, BY TECHNOLOGY
5.1. Overview
5.2. Market Sizing & Forecasting
5.3. Computer Vision
5.4. Context-Aware Computing
5.5. Machine Learning
5.6. Natural Language Processing
6. GLOBAL ARTIFICIAL INTELLIGENCE CHIPSET MARKET, BY HARDWARE
6.1. Overview
6.2. Market Sizing & Forecasting
6.3. Memory
6.4. Network
6.5. Processor
7. GLOBAL ARTIFICIAL INTELLIGENCE CHIPSET MARKET, BY INDUSTRY
7.1. Overview
7.2. Market Sizing & Forecasting
7.3. Agriculture
7.3.1. Agricultural Robots
7.3.2. Drone Analytics
7.3.3. Livestock Monitoring
7.3.4. Precision Farming
7.4. Automotive
7.4.1. Autonomous Driving
7.4.2. Human–Machine Interface
7.4.3. Semiautonomous Driving
7.5. Fintech
7.5.1. Business Analytics and Reporting
7.5.2. Customer Behavior Analytics
7.5.3. Virtual Assistant
7.6. Healthcare
7.6.1. Drug Discovery
7.6.2. Inpatient Care & Hospital Management
7.6.3. Lifestyle Management & Monitoring
7.6.4. Medical Imaging & Diagnostics
7.6.5. Patient Data & Risk Analysis
7.6.6. Precision Medicine
7.6.7. Research
7.6.8. Virtual Assistant
7.6.9. Wearables
7.7. Human Resources
7.7.1. Applicant Tracking & Assessment
7.7.2. Employee Engagement
7.7.3. Personalized Learning and Development
7.7.4. Resume Analysis
7.7.5. Scheduling Group Meetings and Interviews
7.7.6. Sentiment Analysis
7.7.7. Virtual Assistant
7.8. Law
7.8.1. Case Prediction
7.8.2. Compliance
7.8.3. Contract Analysis
7.8.4. Ediscovery
7.8.5. Legal Research
7.9. Manufacturing
7.9.1. Field Services
7.9.2. Material Movement
7.9.3. Predictive Maintenance and Machinery Inspection
7.9.4. Production Planning
7.9.5. Quality Control
7.9.6. Reclamation
7.10. Marketing
7.10.1. Analytics Platform
7.10.2. Content Curation
7.10.3. Dynamic Pricing
7.10.4. Sales & Marketing Automation
7.10.5. Search Advertising
7.10.6. Social Media Advertising
7.10.7. Virtual Assistant
7.11. Retail
7.11.1. Customer Relationship Management
7.11.2. Payment Services Management
7.11.3. Price Optimization
7.11.4. Product Recommendation and Planning
7.11.5. Supply Chain Management and Demand Planning
7.11.6. Virtual Assistant
7.11.7. Visual Search
7.12. Security
7.12.1. Antivirus or Antimalware
7.12.2. Data Loss Prevention
7.12.3. Encryption
7.12.4. Identity and Access Management
7.12.5. Intrusion Detection or Prevention Systems
7.12.6. Risk and Compliance Management
7.12.7. Unified Threat Management
8. GLOBAL ARTIFICIAL INTELLIGENCE CHIPSET MARKET, BY GEOGRAPHY
8.1. Overview
8.2. Market Sizing & Forecasting
8.3. Americas
8.3.1. Overview
8.3.2. Market Sizing & Forecasting
8.3.3. Argentina
8.3.4. Brazil
8.3.5. Canada
8.3.6. Mexico
8.3.7. United States
8.4. Asia-Pacific
8.4.1. Overview
8.4.2. Market Sizing & Forecasting
8.4.3. Australia
8.4.4. China
8.4.5. India
8.4.6. Japan
8.5. Europe, Middle East & Africa
8.5.1. Overview
8.5.2. Market Sizing & Forecasting
8.5.3. France
8.5.4. Germany
8.5.5. Italy
8.5.6. Spain
8.5.7. United Kingdom
9. COMPETITIVE LANDSCAPE
9.1. 360iResearch FPNV Positioning Matrix for Global Artificial Intelligence Chipset Market
9.2. Market Vendor Ranking Analysis for Global Artificial Intelligence Chipset Market
9.3. Competitive News Feed Analysis for Global Artificial Intelligence Chipset Market
10. COMPANY USABILITY PROFILES
10.1. Google LLC
10.1.1. Overview
10.1.2. Strategy
10.1.3. SWOT
10.2. IBM Corporation
10.2.1. Overview
10.2.2. Strategy
10.2.3. SWOT
10.3. Micron Technology
10.3.1. Overview
10.3.2. Strategy
10.3.3. SWOT
10.4. Qualcomm Technologies
10.4.1. Overview
10.4.2. Strategy
10.4.3. SWOT
10.5. Samsung Electronics
10.5.1. Overview
10.5.2. Strategy
10.5.3. SWOT
10.6. 11.1.2 Intel
10.7. 11.1.3 Xilinx
10.8. Advanced Micro Devices, Inc.
10.9. Amazon Web Services
10.10. Fujitsu Ltd.
10.11. General Vision
10.12. Graphcore
10.13. Huawei Technologies
10.14. Mellanox Technologies
10.15. Microsoft Corporation
10.16. Nvidia Corporation
11. APPENDIX
11.1. Discussion Guide
11.2. Top Reports
11.2.1. Global Crane Rental Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.2.2. Global Computer Vision Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.2.3. Global Payment Gateway Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.2.4. Global B2B Travel Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.2.5. Global Varicose Vein Treatment Devices Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.3. Author Details
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. RESEARCH & FORECASTING
2.1. Research Methodology
2.1.1. Research Process
2.1.2. Research Framework
2.1.3. Research Reliability & Validity
2.1.4. Research Assumptions
2.2. Forecasting Methodology
2.3. Research Outcome
2.3.1. 360iResearch Competitive Strategic Window
2.3.1.1. Leverage Zone
2.3.1.2. Vantage Zone
2.3.1.3. Speculative Zone
2.3.1.4. Bottleneck Zone
2.3.2. 360iResearch FPNV Positioning Matrix
2.3.2.1. 360iResearch Quadrants
2.3.2.1.1. Forefront
2.3.2.1.2. Pathfinders
2.3.2.1.3. Niche
2.3.2.1.4. Vital
2.3.2.2. Business Strategy
2.3.2.2.1. Business Growth
2.3.2.2.2. Industry Coverage
2.3.2.2.3. Financial Viability
2.3.2.2.4. Channel Support
2.3.2.3. Product Satisfaction
2.3.2.3.1. Value for Money
2.3.2.3.2. Ease of Use
2.3.2.3.3. Product Features
2.3.2.3.4. Customer Support
3. EXECUTIVE SUMMARY
3.1. Outlook in the Artificial Intelligence Chipset Market
3.2. Opportunities in the Artificial Intelligence Chipset Market
4. PREMIUM INSIGHT
4.1. Market Connectivity
4.2. Market Dynamics
4.2.1. Drivers
4.2.2. Restraints
4.2.3. Opportunities
4.2.4. Challenges
4.3. Porter’s Five Forces Analysis
4.3.1. Threat of New Entrants
4.3.2. Threat of Substitutes
4.3.3. Bargaining Power of Customers
4.3.4. Bargaining Power of Suppliers
4.3.5. Industry Rivalry
4.4. Industry Trends
5. GLOBAL ARTIFICIAL INTELLIGENCE CHIPSET MARKET, BY TECHNOLOGY
5.1. Overview
5.2. Market Sizing & Forecasting
5.3. Computer Vision
5.4. Context-Aware Computing
5.5. Machine Learning
5.6. Natural Language Processing
6. GLOBAL ARTIFICIAL INTELLIGENCE CHIPSET MARKET, BY HARDWARE
6.1. Overview
6.2. Market Sizing & Forecasting
6.3. Memory
6.4. Network
6.5. Processor
7. GLOBAL ARTIFICIAL INTELLIGENCE CHIPSET MARKET, BY INDUSTRY
7.1. Overview
7.2. Market Sizing & Forecasting
7.3. Agriculture
7.3.1. Agricultural Robots
7.3.2. Drone Analytics
7.3.3. Livestock Monitoring
7.3.4. Precision Farming
7.4. Automotive
7.4.1. Autonomous Driving
7.4.2. Human–Machine Interface
7.4.3. Semiautonomous Driving
7.5. Fintech
7.5.1. Business Analytics and Reporting
7.5.2. Customer Behavior Analytics
7.5.3. Virtual Assistant
7.6. Healthcare
7.6.1. Drug Discovery
7.6.2. Inpatient Care & Hospital Management
7.6.3. Lifestyle Management & Monitoring
7.6.4. Medical Imaging & Diagnostics
7.6.5. Patient Data & Risk Analysis
7.6.6. Precision Medicine
7.6.7. Research
7.6.8. Virtual Assistant
7.6.9. Wearables
7.7. Human Resources
7.7.1. Applicant Tracking & Assessment
7.7.2. Employee Engagement
7.7.3. Personalized Learning and Development
7.7.4. Resume Analysis
7.7.5. Scheduling Group Meetings and Interviews
7.7.6. Sentiment Analysis
7.7.7. Virtual Assistant
7.8. Law
7.8.1. Case Prediction
7.8.2. Compliance
7.8.3. Contract Analysis
7.8.4. Ediscovery
7.8.5. Legal Research
7.9. Manufacturing
7.9.1. Field Services
7.9.2. Material Movement
7.9.3. Predictive Maintenance and Machinery Inspection
7.9.4. Production Planning
7.9.5. Quality Control
7.9.6. Reclamation
7.10. Marketing
7.10.1. Analytics Platform
7.10.2. Content Curation
7.10.3. Dynamic Pricing
7.10.4. Sales & Marketing Automation
7.10.5. Search Advertising
7.10.6. Social Media Advertising
7.10.7. Virtual Assistant
7.11. Retail
7.11.1. Customer Relationship Management
7.11.2. Payment Services Management
7.11.3. Price Optimization
7.11.4. Product Recommendation and Planning
7.11.5. Supply Chain Management and Demand Planning
7.11.6. Virtual Assistant
7.11.7. Visual Search
7.12. Security
7.12.1. Antivirus or Antimalware
7.12.2. Data Loss Prevention
7.12.3. Encryption
7.12.4. Identity and Access Management
7.12.5. Intrusion Detection or Prevention Systems
7.12.6. Risk and Compliance Management
7.12.7. Unified Threat Management
8. GLOBAL ARTIFICIAL INTELLIGENCE CHIPSET MARKET, BY GEOGRAPHY
8.1. Overview
8.2. Market Sizing & Forecasting
8.3. Americas
8.3.1. Overview
8.3.2. Market Sizing & Forecasting
8.3.3. Argentina
8.3.4. Brazil
8.3.5. Canada
8.3.6. Mexico
8.3.7. United States
8.4. Asia-Pacific
8.4.1. Overview
8.4.2. Market Sizing & Forecasting
8.4.3. Australia
8.4.4. China
8.4.5. India
8.4.6. Japan
8.5. Europe, Middle East & Africa
8.5.1. Overview
8.5.2. Market Sizing & Forecasting
8.5.3. France
8.5.4. Germany
8.5.5. Italy
8.5.6. Spain
8.5.7. United Kingdom
9. COMPETITIVE LANDSCAPE
9.1. 360iResearch FPNV Positioning Matrix for Global Artificial Intelligence Chipset Market
9.2. Market Vendor Ranking Analysis for Global Artificial Intelligence Chipset Market
9.3. Competitive News Feed Analysis for Global Artificial Intelligence Chipset Market
10. COMPANY USABILITY PROFILES
10.1. Google LLC
10.1.1. Overview
10.1.2. Strategy
10.1.3. SWOT
10.2. IBM Corporation
10.2.1. Overview
10.2.2. Strategy
10.2.3. SWOT
10.3. Micron Technology
10.3.1. Overview
10.3.2. Strategy
10.3.3. SWOT
10.4. Qualcomm Technologies
10.4.1. Overview
10.4.2. Strategy
10.4.3. SWOT
10.5. Samsung Electronics
10.5.1. Overview
10.5.2. Strategy
10.5.3. SWOT
10.6. 11.1.2 Intel
10.7. 11.1.3 Xilinx
10.8. Advanced Micro Devices, Inc.
10.9. Amazon Web Services
10.10. Fujitsu Ltd.
10.11. General Vision
10.12. Graphcore
10.13. Huawei Technologies
10.14. Mellanox Technologies
10.15. Microsoft Corporation
10.16. Nvidia Corporation
11. APPENDIX
11.1. Discussion Guide
11.2. Top Reports
11.2.1. Global Crane Rental Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.2.2. Global Computer Vision Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.2.3. Global Payment Gateway Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.2.4. Global B2B Travel Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.2.5. Global Varicose Vein Treatment Devices Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.3. Author Details
