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The global AI infrastructure market is expected to grow from USD 13.8 billion in 2019 to USD 49.7 billion by 2025, growing at a CAGR of 23.81% in the forecast period of 2020-2025. AI deep learning engineering architecture enables a computer to create a hierarchical representation. For example, the captured image of the first layer might scan for simple edges, followed by a layer collecting edge-forming shapes. The final layer was able to identify parts of the computer. The neural network can collate the features into an algorithm that can recognize the overall image after scanning many layers to find the required data. A large volume of information has been generated by the growing proliferation of robots, cybersecurity technologies, IoT, industrial automation, and machine vision technology. Its data serves as a deep learning software training platform that assists in testing and diagnosing processes.
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Properties and Applications
The AI infrastructure market can be divided based on segments like type, technology, deployment, function, end-use, and region.
The industry can be broadly categorised on the basis of type into:
The industry can be divided based on technology into:
The industry can be divided on the basis of deployment as:
The industry can be segmented based on function as:
The industry can be divided on the basis of end-use as:
The EMR report looks into the regional markets of AI infrastructure like North America, Latin America, Europe, the Middle East and Africa, and the Asia Pacific regions.
The major drivers of the AI technology market include the growing adoption of the cloud machine learning system, increasing demand for AI hardware in high-performance data centres, and rising emphasis on parallel computing in AI data centres. The increasing data volume produced in industries such as automotive and healthcare, improving computing power, decreasing hardware costs, a growing number of cross-industry partnerships and collaborations, and expanding AI applications in industries such as healthcare, automotive, finance, and tourism are further driving the market. One of the key factors restraining the development of the AI technology market is the economies within North America and Europe.
The report presents a detailed analysis of the following key players in the global AI infrastructure market, looking into their capacity, competitive landscape, and latest developments like capacity expansions, plant turnarounds, and mergers and acquisitions:
The EMR report gives an in-depth insight into the industry by providing a SWOT analysis as well as an analysis of Porter’s Five Forces model.
Key Questions Answered in the Report:
1.1 Objectives of the Study
1.2 Key findings of the Study
2 Research Methodology
2.1 Data Extraction
2.2 Data Corroboration
2.3 Market Structure
2.4 Inference Data
3.1 Market Outlook
3.2 Market Scope and Segmentation
3.3 Additional Insights
4 Executive Summary
4.1 Key Market Developments
4.2 Market Analysis
4.3 Key Players
4.4 Market Revenue and Growth
5 Market Dynamics
5.1 Market Driver Analysis
5.2 Market Restraint Analysis
5.3 Industry Challenges
5.4 Industry Opportunities
6 Global AI Infrastructure Market Analysis
6.1 Global AI Infrastructure Historical Market (2015-2019) & Forecast (2020-2025)
6.2 Global AI Infrastructure Market Breakup by Type
6.2.2 Server Software
6.3 Global AI Infrastructure Market Breakup by Type: Historical Market (2015-2019) & Forecast (2020-2025)
6.3.2 Server Software
6.4 Global AI Infrastructure Market Breakup by Technology
6.4.1 Machine Learning
6.4.2 Deep Learning
6.5 Global AI Infrastructure Market Breakup by Technology: Historical Market (2015-2019) & Forecast (2020-2025)
6.5.1 Machine Learning
6.5.2 Deep Learning
6.6 Global AI Infrastructure Market Breakup by Deployment
6.6.1 On Premises
6.7 Global AI Infrastructure Market Breakup by Deployment: Historical Market (2015-2019) & Forecast (2020-2025)
6.7.1 On Premises
6.8 Global AI Infrastructure Market Breakup by Function
6.9 Global AI Infrastructure Market Breakup by Function: Historical Market (2015-2019) & Forecast (2020-2025)
6.10 Global AI Infrastructure Market Breakup by End Use
6.10.2 Government Organisations
6.10.3 Cloud Service Providers
6.11 Global AI Infrastructure Market Breakup by End Use: Historical Market (2015-2019) & Forecast (2020-2025)
6.11.2 Government Organisations
6.11.3 Cloud Service Providers
6.12 Global AI Infrastructure Market Breakup by Region
6.12.1 North America
188.8.131.52 United States of America
184.108.40.206 United Kingdom
6.12.3 Asia Pacific
6.12.4 Latin America
6.12.5 Middle East & Africa
220.127.116.11 Saudi Arabia
18.104.22.168 United Arab Emirates
22.214.171.124 South Africa
6.13 Global AI Infrastructure Market Breakup by Region: Historical Market (2015-2019) & Forecast (2020-2025)
6.13.1 North America
126.96.36.199 United States of America
188.8.131.52 United Kingdom
6.13.3 Asia Pacific
6.13.4 Latin America
6.13.5 Middle East & Africa
184.108.40.206 Saudi Arabia
220.127.116.11 United Arab Emirates
18.104.22.168 South Africa
7 SWOT Analysis
8 Porter’s Five Forces Analysis
8.2 Buyer’s Power
8.3 Supplier’s Power
8.4 New Entrants
8.5 Degree of Rivalry
9 Competitive Landscape & Supplier Analysis
9.1 Intel Corporation (INTC (NASDAQ))
9.1.1 Company Overview
9.1.2 Financial Analysis
9.2 Nvidia Corporation (NVDA (NASDAQ))
9.2.1 Company Overview
9.2.2 Financial Analysis
9.3 Google LLC
9.3.1 Company Overview
9.3.2 Financial Analysis
9.4 Amazon Web Service
9.4.1 Company Overview
9.4.2 Financial Analysis
9.5 Microsoft Corporation (MSFT (NASDAQ))
9.5.1 Company Overview
9.5.2 Financial Analysis
9.6.1 Company Overview
9.6.2 Financial Analysis
9.7 Xilinx, Inc. (XLNX (NASDAQ))
9.7.1 Company Overview
9.7.2 Financial Analysis
9.8 International Business Machines Corporation (IBM (NYSE))
9.8.1 Company Overview
9.8.2 Financial Analysis
9.9 Cisco Systems, Inc. (CSCO (NASDAQ))
9.9.1 Company Overview
9.9.2 Financial Analysis
9.10 Arm Holdings
9.10.1 Company Overview
9.10.2 Financial Analysis
10 Events and Developments
Additional Customization Available:
11 Procurement Strategy
11.1 Value Chain Analysis
11.2 Contract Terms
11.3 Buying and Sourcing Trends
11.4 Storage and Warehousing
11.5 Certifications and Regulations
11.6 Risk Factors
12 Trade Data Analysis
12.1 Major Exporting Countries: By Value and Volume
12.2 Major Importing Countries: By Value and Volume
13 Manufacturing Process
13.1 Detailed Process Flow
13.2 Operations Involved
13.3 Mass Balance
14 Cost Analysis
14.1 Land, Location and Site Development
14.3 Plant Machinery
14.4 Cost of Raw Material
14.9 Other Capital Investment
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