Global Artificial Intelligence (AI) Infrastructure Market was valued at USD 23.50 billion in 2021 and is expected to reach USD 422.55 billion by 2029, registering a CAGR of 43.50% during the forecast period of 2022-2029.
Top Industry Players:
Cisco (US), IBM (US), Intel Corporation (US), SAMSUNG (South Korea), Google (US), Microsoft (US), Micron Technology, Inc (US), NVIDIA Corporation (US), Oracle (US), Arm Limited (UK), Xilinx (US), Advanced Micro Devices, Inc (US), Dell (US), Hewlett Packard Enterprises Development LP (US), Habana Labs Ltd (US), Facebook, Inc (US), Synopsys, Inc (US), Nutanix (US), Pure Storage, Inc (US), Amazon Web Services, Inc (US)
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Market Segmentation:
The artificial intelligence (AI) infrastructure market is segmented on the basis of offering, technology, function, deployment and end-user. The growth amongst these segments will help you analyze meager growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Offering
- Hardware
- Software
Technology
- Machine Learning
- Deep Learning
Function
- Training
- Inference
Deployment Type
- On-Premises
- Cloud
- Hybrid
End-User
- Enterprises
- Government Organizations
- Cloud Service Provider
The reputable Artificial Intelligence (AI) Infrastructure market report conducts a thorough competitive analysis, encompassing strategic profiling of key market players. It delves into their core competencies, strengths, weaknesses, and the overall competitive landscape. This in-depth examination supports businesses in illustrating their individual strategies effectively. The market research data provided in this report serves as a valuable resource for businesses in the planning of strategies related to investment, revenue generation, production, product launches, costing, inventory, purchasing, and marketing. With unwavering devotion and commitment, the Artificial Intelligence (AI) Infrastructure market survey report is presented with the utmost realism, offering trustworthy services and recommendations that businesses can confidently rely on.
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Strategic Points from Table of Content:
1.Introduction
-Objectives of the study
-Market definition
-Overview of global Artificial Intelligence (AI) Infrastructure market
-Currency and pricing
-Limitations
-Markets covered
2.Market segmentation
-Markets covered
-Geographical scope
-Years considered for the study
-DBMR tripod data validation model
-Primary interviews with key opinion leaders
-DBMR market position grid
-Vendor share analysis
-Multivariate modeling
-Offering timeline curve
-Market application coverage grid
-Secondary sources
-Assumptions
3.Executive summary
4.Premium insights
-Use case analysis
-Porters five forces analysis
5.Market overview
-Drivers
-Restraint
-Opportunities
-Challenges
6.Impact of covid-19 on the global Artificial Intelligence (AI) Infrastructure market
-Analysis on impact of covid-19 on the market
-Aftermath of covid-19
-Strategic decisions for manufacturers after covid-19 to gain competitive market share
-Impact on demand
-Conclusion
7.Global Artificial Intelligence (AI) Infrastructure market, by segment
-Overview
8.Global Artificial Intelligence (AI) Infrastructure market, company landscape
-Company share analysis: Global
-Company share analysis: North America
-Company share analysis: Europe
-Company share analysis: Asia pacific
9.Global Artificial Intelligence (AI) Infrastructure market, by region
10.Swot analysis
11.Company profile
-Company 1, 2, 3...
12.Questionnaire
13.Related reports
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