AI in Infrastructure Market
Global AI in Infrastructure Market Size, Share & Trends Analysis Report by Offering (Hardware and Server Software), by Technology (Machine Learning and Deep Learning), by Function (Training and Inference), by Deployment Mode (On-Premise, Cloud-Based, and Hybrid), and by End-User (Cloud Service Provider, Enterprise, and Government Organizations) Forecast Period, 2021-2027 Update Available - Forecast 2024-2030
The global AI in the infrastructure market is projected to grow exponentially at a significant CAGR of 26.8% during the forecast period (2021-2027). Furthermore, several deep algorithms and machine learning algorithms assist organizations to achieve network efficiencies. Thus, companies are focusing on deploying automated infrastructure management tools in their data centers, which will further fuel the growth of the market. For instance, in February 2020, Ericsson launched an AI-powered energy infrastructure operation solution, which uses advanced data analytics and AI catering to optimize energy consumption across the telecommunication service provider.
Moreover, the various government of emerging countries such as India is investing in building efficient and effective AI ecosystem which will further expect the growth of the market. For instance, in January 2020, the government of India published a paper through the NITI Aayog stating the development of the country's 1st specific cloud computing infrastructure known as AIRAWAT. AIRAWAT stands for AI research, analytics, and knowledge assimilation platform, which aims to guide the R&D activities of the new and emerging advanced technologies in the field of AI.
Impact of COVID-19 Pandemic on Global AI in Infrastructure Market
The outbreak of the COVID-19 pandemic has offered an acceleration to the deployment of AI technology, as it has been adopted by several industries such as healthcare and others by leveraging its tools to support people across the globe. The AI used in healthcare offers features such as decoding genomic sequences for the development of the drug, remote patient monitoring, enhancements of CT scans, and healthcare chatbots. Moreover, post the 1st wave of COVID-19, the manufacturing industries adopted the smart manufacturing processes by implementing IoT, AI, blockchain technologies, and others catering to reduce human contact as much as possible. In addition, the manufacturing companies have significantly reduced the cost of the process while increasing efficiency by integrating such advanced technologies across the globe.
Segmental Outlook
The global AI in the infrastructure market is segmented based on offering, technology, function, deployment mode, and end-user. Based on the offering, the market is bifurcated as hardware and server software. The hardware offering of the AI infrastructure includes processors such as CPU, GPU, FPGA, and ASIC, memory, storage, and networking. Based on the technology used, the market is segmented as machine learning and deep learning. Based on the functions of AI, the market can be augmented as training and inference. The AI in the infrastructure market can further be segmented based on its deployment model as on-premise, cloud-based, and hybrid. Based on the end-user, the is divided as a cloud service provider, enterprise, and government organization. Among the offering, the processor of the hardware segment is expected to drive the global AI in the infrastructure market during the forecast period, owing to the increasing demand for high processing capabilities in parallel or simultaneously.
Global AI in Infrastructure Market By End-User, 2020 (%)
Enterprise Segment is Projected to Grow Significantly in the Global AI in Infrastructure Market
Among the end-user, the enterprise segment is projected to witness considerable market growth during the forecast period. The enterprises are rapidly adopting AI into their business operations post realizing the demand. By incorporating AI in business processes improves operational efficiency while reducing the associated cost by automating the work and process flow. The companies are incorporating various autonomous processes such as chatbots and others to enhance operations, improve customer interactions. For instance, in November 2020, Komando Tech. deployed chatbots to solve the queries of the customer, for which the company has reduced its overall business costs by $8 billion. Furthermore, the AI solutions required integration of hardware and software to offer various operations such as scalable processing, annotation & collation of data source, and developing fine-tuning models.
Regional Outlook
The global AI in the Infrastructure market is augmented into North America (the US and Canada), Europe (Germany, Spain, Italy, France, the UK, and the Rest of Europe), Asia-Pacific (India, China, Japan South Korea, and the Rest of Asia-Pacific), and the Rest of the World (the Middle East and Africa, and Latin America). North America is projected as the leading market of global AI in the infrastructure market owing to the rise in the adoption of AI-based servers at an affordable rate. The major economies contributing to the growth of the market in North America include the US and Canada. Followed by the Europe and Asia-Pacific. The major countries involved in the growth of the market across the Asia-Pacific region include China, India, Japan, South Korea, and the Rest of the Asia-Pacific.
Global AI in Infrastructure Market Growth, by Region 2021-2027
Europe is Anticipated to Witness Considerable Growth in Global AI in Infrastructure Market
Among the geography, Europe is expected to witness significant growth in the market due to the countries like Germany, which are continuously inclined towards expanding in the field of AI. Moreover, various government initiatives will further propel the growth of AI in the infrastructure market. For instance, in November 2018, the government of Germany introduced its strategy for AI that has been developed with a joint effort of the Federal Ministry of Education and Research, Ministry of Labour, and Ministry for Economic Affairs & Energy. The strategy comprises several policies, goals, and actions outlined to establish AI infrastructure in the country. Under the same strategy, in December 2020, the Federal government of Germany adopted the updated policies released by the European Union, which reveals the plan of the government to invest $3.5 billion in building AI infrastructure by the end of 2025.
Market Players Outlook
The prominent players functioning in the global AI in Infrastructure market include Cisco Systems, Inc., Google, Inc., IBM Corp., Intel Corp., NVIDIA Corp., Microsoft, Amazon Web Services, Hewlett Packard Enterprise Co., and Dell, Inc., among others. These key manufacturers are adopting various strategies such as new product launches and approvals, mergers and acquisitions, partnerships and collaborations, and many others to thrive in a competitive environment. For instance, in December 2019, Intel Corp. completed the acquisition of Habana Labs for worth $2 billion. Post-acquisition, Intel has strengthened its portfolio of artificial intelligence (AI) and has driven its growth in the AI silicon market. Habana Labs was a developer of programmed deep learning accelerators.
The Report Covers
- Market value data analysis of 2020 and forecast to 2027.
- Annualized market revenues ($ million) for each market segment.
- Country-wise analysis of major geographical regions.
- Key companies operating in the global MRI coil market. Based on the availability of data, information related to pipeline products, and relevant news is also available in the report.
- Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
- Analysis of market entry and market expansion strategies.
- Competitive strategies by identifying ‘who-stands-where in the market.
1. Report Summary
• Current Industry Analysis and Growth Potential Outlook
• Impact of COVID-19 on the Global AI in Infrastructure Industry
• Recovery Scenario of Global AI in Infrastructure Industry
1.1. Research Methods and Tools
1.2. Market Breakdown
1.2.1. By Segments
1.2.2. By Geography
2. Market Overview and Insights
2.1. Scope of the Report
2.2. Porter's Analysis
2.3. Analyst Insight & Current Market Trends
2.3.1. Key Findings
2.3.2. Recommendations
2.3.3. Conclusion
3. Competitive Landscape
3.1. Key Company Analysis
3.1.1. Google, LLC.
3.1.1.1. Overview
3.1.1.2. Financial Analysis
3.1.1.3. SWOT Analysis
3.1.1.4. Recent Developments
3.1.2. IBM Corp.
3.1.2.1. Overview
3.1.2.2. Financial Analysis
3.1.2.3. SWOT Analysis
3.1.2.4. Recent Developments
3.1.3. Intel Corp.
3.1.3.1. Overview
3.1.3.2. Financial Analysis
3.1.3.3. SWOT Analysis
3.1.3.4. Recent Developments
3.1.4. Microsoft Corp.
3.1.4.1. Overview
3.1.4.2. Financial Analysis
3.1.4.3. SWOT Analysis
3.1.4.4. Recent Developments
3.1.5. NVIDIA Corp.
3.1.5.1. Overview
3.1.5.2. Financial Analysis
3.1.5.3. SWOT Analysis
3.1.5.4. Recent Developments
3.2. Key Strategy Analysis
3.3. Impact of COVID-19 on Key Players
4. Market Determinants
4.1. Motivators
4.2. Restraints
4.3. Opportunities
5. Market Segmentation
5.1. Global AI in Infrastructure Market by Offering
5.1.1. Hardware
5.1.1.1. Processors
5.1.1.2. Memory
5.1.1.3. Storage
5.1.1.4. Networking
5.1.2. Server Software
5.2. Global AI in Infrastructure Market by Technology
5.2.1. Machine Learning
5.2.2. Deep Learning
5.3. Global AI in Infrastructure Market by Function
5.3.1. Training
5.3.2. Inference
5.4. Global AI in Infrastructure Market by Deployment Mode
5.4.1. On-Premise
5.4.2. Cloud-Based
5.4.3. Hybrid
5.5. Global AI in Infrastructure Market by End-User
5.5.1. Cloud Service Provider
5.5.2. Enterprise
5.5.3. Government Organizations
6. Regional Analysis
6.1. North America
6.1.1. US
6.1.2. Canada
6.2. Europe
6.2.1. UK
6.2.2. Germany
6.2.3. Italy
6.2.4. Spain
6.2.5. France
6.2.6. Rest of Europe
6.3. Asia-Pacific
6.3.1. China
6.3.2. India
6.3.3. Japan
6.3.4. South Korea
6.3.5. Rest of Asia-Pacific
6.4. Rest of the World
7. Company Profiles
7.1. Advanced Micro Devices, Inc.
7.2. Amazon.com, Inc.
7.3. Arm Ltd.
7.4. Cadence Design Systems, Inc.
7.5. Cambrian Technology Co., Ltd.
7.6. Cisco Systems, Inc.
7.7. Dell, Inc.
7.8. Graphcore, Ltd.
7.9. Gyrfalcon Technology Inc.
7.10. Habana Labs, Ltd.
7.11. Hewlett Packard Enterprise Co.
7.12. Micron Technology, Inc.
7.13. Samsung Electronics Co., Ltd.
7.14. SK hynix Inc.
7.15. Synopsys, Inc.
7.16. Toshiba Corp.
1. GLOBAL AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS, 2020-2027 ($ MILLION)
2. GLOBAL AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY OFFERING, 2020-2027 ($ MILLION)
3. GLOBAL HARDWARE FOR AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY REGION, 2020-2027 ($ MILLION)
4. GLOBAL HARDWARE FOR AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY TYPE, 2020-2027 ($ MILLION)
5. GLOBAL SERVER SOFTWARE FOR AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY TYPE, 2020-2027 ($ MILLION)
6. GLOBAL AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2020-2027 ($ MILLION)
7. GLOBAL MACHINE LEARNING IN AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY REGION, 2020-2027 ($ MILLION)
8. GLOBAL DEEP LEARNING IN AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY REGION, 2020-2027 ($ MILLION)
9. GLOBAL AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY FUNCTION, 2020-2027 ($ MILLION)
10. GLOBAL TRAINING FOR AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY REGION, 2020-2027 ($ MILLION)
11. GLOBAL INFERENCE FOR AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY REGION, 2020-2027 ($ MILLION)
12. GLOBAL AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODE, 2020-2027 ($ MILLION)
13. GLOBAL ON-PREMISE FOR AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY REGION, 2020-2027 ($ MILLION)
14. GLOBAL CLOUD-BASED FOR AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY REGION, 2020-2027 ($ MILLION)
15. GLOBAL HYBRID FOR AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY REGION, 2020-2027 ($ MILLION)
16. GLOBAL AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY END-USER, 2020-2027 ($ MILLION)
17. GLOBAL AI IN INFRASTRUCTURE IN CLOUD SERVICE PROVIDER MARKET RESEARCH AND ANALYSIS BY REGION, 2020-2027 ($ MILLION)
18. GLOBAL AI IN INFRASTRUCTURE IN ENTERPRISE MARKET RESEARCH AND ANALYSIS BY REGION, 2020-2027 ($ MILLION)
19. GLOBAL AI IN INFRASTRUCTURE IN GOVERNMENT ORGANIZATIONS MARKET RESEARCH AND ANALYSIS BY REGION, 2020-2027 ($ MILLION)
20. GLOBAL AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY GEOGRAPHY, 2020-2027 ($ MILLION)
21. NORTH AMERICAN AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2020-2027 ($ MILLION)
22. NORTH AMERICAN AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY OFFERING, 2020-2027 ($ MILLION)
23. NORTH AMERICAN AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2020-2027 ($ MILLION)
24. NORTH AMERICAN AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY FUNCTION, 2020-2027 ($ MILLION)
25. NORTH AMERICAN AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODE, 2020-2027 ($ MILLION)
26. NORTH AMERICAN AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY END-USER, 2020-2027 ($ MILLION)
27. EUROPEAN AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2020-2027 ($ MILLION)
28. EUROPEAN AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY OFFERING, 2020-2027 ($ MILLION)
29. EUROPEAN AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2020-2027 ($ MILLION)
30. EUROPEAN AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY FUNCTION, 2020-2027 ($ MILLION)
31. EUROPEAN AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODE, 2020-2027 ($ MILLION)
32. EUROPEAN AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY END-USER, 2020-2027 ($ MILLION)
33. ASIA-PACIFIC AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2020-2027 ($ MILLION)
34. ASIA-PACIFIC AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY OFFERING, 2020-2027 ($ MILLION)
35. ASIA-PACIFIC AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2020-2027 ($ MILLION)
36. ASIA-PACIFIC AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY FUNCTION, 2020-2027 ($ MILLION)
37. ASIA-PACIFIC AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODE, 2020-2027 ($ MILLION)
38. ASIA-PACIFIC AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY END-USER, 2020-2027 ($ MILLION)
39. REST OF THE WORLD AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY OFFERING, 2020-2027 ($ MILLION)
40. REST OF THE WORLD AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2020-2027 ($ MILLION)
41. REST OF THE WORLD AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY FUNCTION, 2020-2027 ($ MILLION)
42. REST OF THE WORLD AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODE, 2020-2027 ($ MILLION)
43. REST OF THE WORLD AI IN INFRASTRUCTURE MARKET RESEARCH AND ANALYSIS BY END-USER, 2020-2027 ($ MILLION)
1. IMPACT OF COVID-19 ON GLOBAL AI IN INFRASTRUCTURE MARKET, 2020-2027 ($ MILLION)
2. IMPACT OF COVID-19 ON GLOBAL AI IN INFRASTRUCTURE MARKET BY SEGMENT, 2020-2027 ($ MILLION)
3. RECOVERY OF GLOBAL AI IN INFRASTRUCTURE MARKET, 2021-2027 (%)
4. GLOBAL AI IN INFRASTRUCTURE MARKET SHARE BY OFFERINGE, 2020 VS 2027 (%)
5. GLOBAL AI IN INFRASTRUCTURE MARKET SHARE BY TECHNOLOGY, 2020 VS 2027 (%)
6. GLOBAL AI IN INFRASTRUCTURE MARKET SHARE BY FUNCTION, 2020 VS 2027 (%)
7. GLOBAL AI IN INFRASTRUCTURE MARKET SHARE BY DEPLOYMENT MODE, 2020 VS 2027 (%)
8. GLOBAL AI IN INFRASTRUCTURE MARKET SHARE BY END-USER, 2020 VS 2027 (%)
9. GLOBAL AI IN INFRASTRUCTURE MARKET SHARE BY GEOGRAPHY, 2020 VS 2027 (%)
10. GLOBAL HARDWARE FOR AI IN INFRASTRUCTURE MARKET SHARE BY TYPE, 2020 VS 2027(%)
11. GLOBAL PROCESSOR FOR AI IN INFRASTRUCTURE MARKET SHARE BY REGION, 2020 VS 2027(%)
12. GLOBAL MEMORY FOR AI IN INFRASTRUCTURE MARKET SHARE BY REGION, 2020 VS 2027(%)
13. GLOBAL STORAGE FOR AI IN INFRASTRUCTURE MARKET SHARE BY REGION, 2020 VS 2027(%)
14. GLOBAL NETWORKING FOR AI IN INFRASTRUCTURE MARKET SHARE BY REGION, 2020 VS 2027(%)
15. GLOBAL SERVER SOFTWARE FOR AI IN INFRASTRUCTURE MARKET SHARE BY REGION, 2020 VS 2027(%)
16. GLOBAL MACHINE LEARNING IN AI IN INFRASTRUCTURE MARKET SHARE BY REGION, 2020 VS 2027(%)
17. GLOBAL DEEP LEARNING IN AI IN INFRASTRUCTURE MARKET SHARE BY REGION, 2020 VS 2027(%)
18. GLOBAL TRAINING IN AI IN INFRASTRUCTURE MARKET SHARE BY REGION, 2020 VS 2027(%)
19. GLOBAL INFERENCE IN AI IN INFRASTRUCTURE MARKET SHARE BY REGION, 2020 VS 2027(%)
20. GLOBAL ON-PREMISE IN AI IN INFRASTRUCTURE MARKET SHARE BY REGION, 2020 VS 2027(%)
21. GLOBAL CLOUD-BASED IN AI IN INFRASTRUCTURE MARKET SHARE BY REGION, 2020 VS 2027(%)
22. GLOBAL HYBRID IN AI IN INFRASTRUCTURE MARKET SHARE BY REGION, 2020 VS 2027(%)
23. GLOBAL AI IN INFRASTRUCTURE IN CLOUD SERVICE PROVIDER MARKET SHARE BY REGION, 2020 VS 2027(%)
24. GLOBAL AI IN INFRASTRUCTURE IN ENTERPRISE MARKET SHARE BY REGION, 2020 VS 2027(%)
25. GLOBAL AI IN INFRASTRUCTURE IN GOVERNMENT ORGANIZATIONS MARKET SHARE BY REGION, 2020 VS 2027(%)
26. GLOBAL OTHERS FOR AI IN INFRASTRUCTURE MARKET SHARE BY REGION, 2020 VS 2027(%)
27. US AI IN INFRASTRUCTURE MARKET SIZE, 2020-2027 ($ MILLION)
28. CANADA AI IN INFRASTRUCTURE MARKET SIZE, 2020-2027 ($ MILLION)
29. UK AI IN INFRASTRUCTURE MARKET SIZE, 2020-2027 ($ MILLION)
30. FRANCE AI IN INFRASTRUCTURE MARKET SIZE, 2020-2027 ($ MILLION)
31. GERMANY AI IN INFRASTRUCTURE MARKET SIZE, 2020-2027 ($ MILLION)
32. ITALY AI IN INFRASTRUCTURE MARKET SIZE, 2020-2027 ($ MILLION)
33. SPAIN AI IN INFRASTRUCTURE MARKET SIZE, 2020-2027 ($ MILLION)
34. ROE AI IN INFRASTRUCTURE MARKET SIZE, 2020-2027 ($ MILLION)
35. INDIA AI IN INFRASTRUCTURE MARKET SIZE, 2020-2027 ($ MILLION)
36. CHINA AI IN INFRASTRUCTURE MARKET SIZE, 2020-2027 ($ MILLION)
37. JAPAN AI IN INFRASTRUCTURE MARKET SIZE, 2020-2027 ($ MILLION)
38. SOUTH KOREA AI IN INFRASTRUCTURE MARKET SIZE, 2020-2027 ($ MILLION)
39. REST OF ASIA-PACIFIC AI IN INFRASTRUCTURE MARKET SIZE, 2020-2027 ($ MILLION)
40. REST OF THE WORLD AI IN INFRASTRUCTURE MARKET SIZE, 2020-2027 ($ MILLION)
