Global Energy-efficient Artificial Intelligence Chip Market Analysis and Forecast 2031
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Global Energy-efficient Artificial Intelligence Chip Market Report, History and Forecast 2016-2031, Breakdown Data by Manufacturers, Key Regions, Types and Application
Description
Global Energy-efficient Artificial Intelligence Chip Market Analysis and Forecast 2031
Market Overview
CRI Report has released a report titled Global Energy-efficient Artificial Intelligence Chip – Analysis of Market Size, Share & Trends for 2014 – 2020 and Forecasts to 2031. The market is estimated at xx Billion in the year 2020, is projected to reach a revised size of xx Billion by 2031, growing at a CAGR of XX% forecast period 2021-2031.
The report emphasizes on the detailed understanding of some decisive factors such as size, share, sales, forecast trends, supply, production, demands, industry and CAGR in order to provide a comprehensive outlook of the global market
Global Energy-efficient Artificial Intelligence Chip Market: Key Players
Nvidia
Intel
Xilinx
Samsung Electronics
Micron Technology
Qualcomm Technologies
IBM
Google
Microsoft
Amazon Web Services (AWS)
AMD
General Vision
Graphcore
Mellanox Technologies
Huawei Technologies
Fujitsu
Wave Computing
Mythic
Adapteva
Koniku
Tenstorrent
Segmentation
By Type:
GPU
ASIC
FPGA
Neuron
By Application:
Industrials
Military
ublic Safety
Medical
Others
Global Energy-efficient Artificial Intelligence Chip Market Dynamics
Global Energy-efficient Artificial Intelligence Chip Market Size
Supply & Demand
Current Trends/Issues/Challenges
Competition & Companies Involved in the Market
Value Chain of the Market
Market Drivers and Restraints
The report sheds light on various aspects and answers pertinent questions on the market. Some of the important ones are:
COVID-19 pre and post business impact analysis
Detailed overview of the parent market
Changing market dynamics in the industry
In-depth Market segmentation
What is the Global Energy-efficient Artificial Intelligence Chip Market growth?
Which segment accounted for the largest Global Energy-efficient Artificial Intelligence Chip Market share?
Who are the key players in the Griddles Market?
Historical, current and projected market size in terms of volume and value
Recent industry trends and developments
Competitive landscape
Strategies of key players and products offered
otential and niche segments, geographical regions exhibiting promising growth
A neutral perspective on market performance
Must-have information for market players to sustain and enhance their market footprint
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Table of Contents
Contents
1. Executive Summary
2. Global Energy-efficient Artificial Intelligence Chip
2.1. Product Overview
2.2. Market Definition
2.3. Segmentation
2.4. Assumptions and Acronyms
3. Research Methodology
3.1. Research Objectives
3.2. Primary Research
3.3. Secondary Research
3.4. Forecast Model
3.5. Market Size Estimation
4. Average Pricing Analysis
5. Macro-Economic Indicators
6. Market Dynamics
6.1. Growth Drivers
6.2. Restraints
6.3. Opportunity
6.4. Trends
7. Correlation & Regression Analysis
7.1. Correlation Matrix
7.2. Regression Matrix
8. Recent Development, Policies & Regulatory Landscape
9. Risk Analysis
9.1. Demand Risk Analysis
9.2. Supply Risk Analysis
10. Global Energy-efficient Artificial Intelligence Chip Analysis
10.1. Porters Five Forces
10.1.1. Threat of New Entrants
10.1.2. Bargaining Power of Suppliers
10.1.3. Threat of Substitutes
10.1.4. Rivalry
10.2. PEST Analysis
10.2.1. Political
10.2.2. Economic
10.2.3. Social
10.2.4. Technological
11. Global Energy-efficient Artificial Intelligence Chip
11.1. Market Size & forecast, 2020A-2030F
11.1.1. By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
11.1.2. By Volume (Million Units) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12. Global Energy-efficient Artificial Intelligence Chip : Market Segmentation
12.1. By Regions
12.1.1. North America:(U.S. and Canada), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.2. Latin America: (Brazil, Mexico, Argentina, Rest of Latin America), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.3. Europe: (Germany, UK, France, Italy, Spain, BENELUX, NORDIC, Hungary, Poland, Turkey, Russia, Rest of Europe), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.4. Asia-Pacific: (China, India, Japan, South Korea, Indonesia, Malaysia, Australia, New Zealand, Rest of Asia Pacific), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.5. Middle East and Africa: (Israel, GCC, North Africa, South Africa, Rest of Middle East and Africa), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2. By network type: Market Share (2020-2030F)
12.2.1. Hardware , By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2.2. Software , By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2.3. Services , By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3. By End user: Market Share (2020-2030F)
12.3.1. Manufacturing, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.2. Healthcare, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.3. Energy and Utilities, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.4. IT & Telecom, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.5. Automotive and Transportation, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.6. Supply Chain and Logistics, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.7. Government and Public Safety, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.8. Agriculture, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.9. Others, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
Company Profile
Nvidia
Intel
Xilinx
Samsung Electronics
Micron Technology
Qualcomm Technologies
IBM
Google
Microsoft
Amazon Web Services (AWS)
AMD
General Vision
Graphcore
Mellanox Technologies
Huawei Technologies
Fujitsu
Wave Computing
Mythic
Adapteva
Koniku
Tenstorrent
Consultant Recommendation
**The above-given segmentations and companies could be subjected to further modification based on in-depth feasibility studies conducted for the final deliverable.
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