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. Cloud account for the largest deployment type segment in the respective market owing to the increase in the number of data center providers and cloud companies. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team also includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.
AI Infrastructure market report presents thorough information about the global industry comprising of valuable figures and stats. Moreover, the report contains records starting from the base year (2022) and stretches until the forecast period (2023-2029). This market research report has set a bench-marking example for such a vibrant market that explores several recommendations and practical growth strategies in relation to the market. The market report covers a wide spectrum of regions and also focuses on key regions that include North America, Europe, Asia Pacific, Middle East, South America, and the Middle East & Africa (MEA).
Artificial Intelligence has witnessed tremendous growth and development in past years, and will be even more widespread in a couple of brief years. AI Infrastructure makes the world of corporate data well-optimized and more streamlined. Machine learning algorithms that run through databases and message queuing systems are trained with AI Infrastructure to deliver data delivery flow.
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A meticulous study of the competitive landscape of the market has been given in the AI Infrastructure document along with the insights of the companies, financial status, trending developments, mergers, acquisitions and SWOT analysis. This market research will give a clear and specific idea to the readers about the overall market to take valuable decisions. The document focuses on leading global industry players providing information such as company profiles, specifications, capacity, cost, revenue and contact information. In-depth analysis of the market segmentation covered in this AI Infrastructure market report assists in determining the prevailing market opportunities. This market report also offers comprehensive statistics on important aspects such as growth drivers, challenges and industry prospects.
Product definition
An Artificial Intelligence (AI) infrastructure refers to the technology that assists with machine learning (ML). The technology signifies the combination of machine learning and artificial intelligence solutions for development and deployment of scalable, reliable and specific data solutions. AI Infrastructure is known to key enable the whole machine learning process from start to finish.
Some of the major players operating AI Infrastructure market are
- 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)
Key Market Segments Covered in AI Infrastructure Market Industry Research
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
Artificial Intelligence (AI) Infrastructure Market Regional Analysis/Insights
The artificial intelligence (AI) infrastructure market is analysed and market size insights and trends are provided by country, offering, technology, function, deployment and end-user as referred above.
The countries covered in the artificial intelligence (AI) infrastructure market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America dominates the artificial intelligence (AI) infrastructure market due to the high adoption rate of AI based servers and presence of prominent AI technology providers within the region.
Asia-Pacific (APAC) is expected to witness significant growth during the forecast period of 2022 to 2029 because of the construction of "new infrastructure" projects, such as 5G networks and data centers in the region.
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Drivers
Rise in Awareness regarding Artificial Intelligence (AI)
The increase in awareness regarding the incorporation of artificial intelligence (AI) into business processes among enterprises acts as one of the major factors driving the artificial intelligence (AI) infrastructure market. This technology enhances operational efficiency while reducing cost through automation of process flows.
- High Investments in Compute-Intensive Chip
GPU/CPU manufacturers, such as AMD, Qualcomm, NVIDIA, and Intel, among others increasing their investments in the development of chips that are compatible with AI solutions accelerate the market growth. Also, development of field-programmable gate arrays (FPGAs) and application-specific integrated circuits (ASICs) drives the market.
- Surge in the Adoption of Chatbots
The increase in the adoption of Chatbots to decline the operational costs for businesses that is estimated to be up to 30% further influence the market. AI is beneficial for solving a specific set of problems and working with a significant volume of high-quality Big Data.
Additionally, rapid urbanization, change in lifestyle, surge in investments and increased consumer spending positively impact the artificial intelligence (AI) infrastructure market..
Opportunities
Furthermore, surge in demand for FPGA-based accelerators and rise in need for co-processors due to slowdown of Moore’s Law extend profitable opportunities to the market players in the forecast period of 2022 to 2029. The rise in potential of AI-based tools for elderly care will further expand the market.
Restraints/Challenges
On the other hand, concerns regarding data privacy in AI platforms and lack of AI hardware experts and skilled workforce are expected to obstruct market growth. Also, availability of limited structured data to train and develop efficient AI systems and unreliability of AI algorithms are projected to challenge the artificial intelligence (AI) infrastructure market in the forecast period of 2022-2029.
This artificial intelligence (AI) infrastructure market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on artificial intelligence (AI) infrastructure market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
How does this AI Infrastructure Market Insights Help?
- AI Infrastructure Market share (regional, product, application, end-user) both in terms of volume and revenue along with CAGR
- The Key parameters which are driving this market and restraining its growth
- What all challenges manufacturers will face as well as new opportunities and threats faced by them
- To learn about the market strategies that are being adopted by your competitors and leading organizations
- To Increase insightful analyses of the market and have a comprehensive understanding of the “AI Infrastructure Market” and its commercial landscape
TABLE OF CONTENTS
- Part 01: Executive Summary
- Part 02: Scope of The Report
- Part 03: Research Methodology
- Part 04: Market Landscape
- Part 05: Pipeline Analysis
- Part 06: Market Sizing
- Part 07: Five Forces Analysis
- Part 08: Market Segmentation
- Part 09: Customer Landscape
- Part 10: Regional Landscape
- Part 11: Decision Framework
- Part 12: Drivers and Challenges
- Part 13: Market Trends
- Part 14: Vendor Landscape
- Part 15: Vendor Analysis
- Part 16: Appendix
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Queries Resolved In This Report:
- Which will be the specialties at which AI Infrastructure Market players profiling with intensive designs, financials, and furthermore, ongoing headways should set nearness?
- Which will be the foreseen development rates for your own AI Infrastructure economy out and out and furthermore for each portion inside?
- Which will be the AI Infrastructure application and sorts and estimate joined intently by makers?
- Which will be the dangers which will attack growth?
- The length of the AI Infrastructure market opportunity?
- How AI Infrastructure Market share advance vacillations their value from various assembling brands?
WHO SHOULD BUY THE AI INFRASTRUCTURE REPORT?
People looking to enrich the decision-making capability by following points must buy the report:
- Breakdown of market share of the top AI Infrastructure industry players
- Evaluations of market share for the regional and country level sectors
- Estimation of AI Infrastructure market for the forecast period of all the aforementioned classes, sub classes, and the domestic markets
- Tactical recommendation for the newbies
- Tactical recommendation in primary business industries based on the AI Infrastructure market forecast
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