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Cloud AI Global Market Report 2024

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    Report

  • 175 Pages
  • February 2024
  • Region: Global
  • The Business Research Company
  • ID: 5896091
The cloud AI market size has grown exponentially in recent years. It will grow from $59.49 billion in 2023 to $82.02 billion in 2024 at a compound annual growth rate (CAGR) of 37.9%. The expansion observed in the historical period can be attributed to the growth of computational power and its increased affordability, the development of readily available AI models, the emergence of big data and data analytics, and the rising demands for automation and optimization.

The cloud AI market size is expected to see exponential growth in the next few years. It will grow to $301.2 billion in 2028 at a compound annual growth rate (CAGR) of 38.4%. The anticipated growth in the forecast period can be attributed to the growing adoption of hybrid and multi-cloud strategies, an increased emphasis on edge computing, a growing focus on transparency, and the rise of AI-powered applications across diverse industries. Major trends in the forecast period include integration with IoT, strategic collaborations, investments by key players, and technological advancements.

The anticipated surge in demand for virtual assistants is set to drive the growth of the cloud AI market in the future. Virtual assistants, also known as voice assistants or digital assistants, leverage artificial intelligence (AI) technologies to offer users interactive and personalized assistance. They are designed to comprehend and respond to user queries, perform tasks, and provide relevant information or services. Cloud AI is commonly utilized to power virtual assistants, enhancing their capabilities and enabling businesses to build, train, deploy, and manage AI models at scale. This approach brings benefits such as scalability, reliability, security, and cost-effectiveness. For example, as of April 2023, reports shared by Demand Sage, a US-based AI-powered demand planning platform, indicate that there will be 4.2 billion voice assistants by 2023, and this number is projected to increase to 8.4 billion in 2024, encompassing 72% of individuals who utilized voice assistants in the preceding six months of 2023. Therefore, the increasing demand for virtual assistants propels the growth of the cloud AI market.

The escalating demand in the automotive industry is expected to drive the growth of the cloud AI market in the coming years. The automotive industry encompasses companies, organizations, and activities involved in the design, development, manufacturing, marketing, and sale of motor vehicles. The adoption of cloud-based AI in the automotive sector contributes to the creation of more intelligent, efficient, and connected vehicles, offering manufacturers and users various benefits in terms of functionality, maintenance, and overall user experience. As of May 2023, the European Automobile Manufacturers Association reports that the global production of motor vehicles in 2022 reached 85.4 million units, reflecting a notable increase of 5.7% compared to the previous year. Moreover, in February 2022, Brand Finance plc, a UK-based brand valuation company, notes that the automobile sector achieved approximately 78 million unit sales in 2022, marking a substantial 10% increase. Therefore, the increasing demand in the automotive industry is poised to drive the growth of the cloud AI market.

Innovative AI cloud services emerge as a prominent trend gaining traction in the cloud AI market, with major companies concentrating on developing inventive AI cloud services to maintain their market positions. For instance, as of March 2023, NVIDIA Corporation, a US-based software company, launched DGX Cloud, a novel AI supercomputing cloud service. This technology solution empowers businesses to run AI workloads at scale and speed while accessing the latest AI technologies. Equipped with powerful GPUs, DGX Cloud allows companies to access their AI supercomputers through a simple online browser, eliminating the need for purchasing, deploying, and operating on-premises hardware. Additionally, this cloud service provides scalability, reliability, security, and cost-effectiveness. Overall, DGX Cloud stands as a versatile and powerful cloud AI supercomputer service, making it a compelling choice for businesses of all sizes.

Major companies in the cloud AI market are dedicated to developing innovative solutions, offering AI supercomputing-as-a-service to gain a competitive edge. AI supercomputing-as-a-service (AI SaaS) refers to a cloud-based service model providing access to high-performance computing resources specifically tailored for artificial intelligence (AI) workloads. As of November 2023, NeevCloud, an India-based cloud infrastructure company, introduced AI supercloud with the aim of making supercomputing and AI more accessible to Indian startups and businesses. This AI supercomputing-as-a-service model seeks to democratize access to AI and supercomputing, ultimately boosting India's global IT standing. With the world's lowest pricing for Cloud GPUs at $1.69/hour, representing a 50% cost reduction, the AI supercloud offers an affordable solution.

In July 2023, DigitalOcean Holdings Inc., a US-based software company, completed the acquisition of Paperspace for $111 million. This strategic move enables DigitalOcean Holdings Inc. to expand its cloud computing and AI offerings, gain access to Paperspace's customer base, and enhance its competitiveness in the cloud computing market. Paperspace is a US-based provider of cloud AI services, aiming to make cloud computing more accessible.

Major companies operating in the cloud AI market report are Amazon Web Services Inc., MicroStrategy Incorporated, Apple Inc., Microsoft Corporation, Google LLC, Huawei Cloud, Intel Corporation, Accenture PLC, International Business Machines Corporation (IBM), Cisco Systems Inc., Oracle Corporation, Salesforce Inc., SoundHound Inc., Tata Consultancy Services, Nvidia Corporation, Capgemini SE, Baidu Inc., Cognizant Technology Solutions Corporation, Infosys Limited, ZTE Corp., DXC Technology, Atos SE, HCL Technologies, Wipro Ltd., Twilio Inc., Nuance Communications Inc., Verint Systems Inc., DataRobot Inc., H2O.AI.

North America was the largest region in the cloud AI market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the cloud AI market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the cloud AI market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Spain, Canada.

The primary types of cloud AI are solutions and services. Cloud AI solutions involve the use of cloud computing infrastructure and AI technologies to address specific business challenges or fulfill particular needs. This encompasses various technologies such as deep learning, machine learning, natural language processing, and others. The main end-users of cloud AI include industries such as banking, financial services, and insurance (BFSI), healthcare, automotive, retail, government, education, and others.

The cloud AI market research report is one of a series of new reports that provides cloud AI market statistics, including cloud AI industry global market size, regional shares, competitors with a cloud AI market share, detailed cloud AI market segments, market trends and opportunities, and any further data you may need to thrive in the cloud AI industry. This cloud AI market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The cloud AI market consists of revenues earned by entities by providing cloud AI services such as AI model training and deployment, pre-built AI models, computer vision services, data storage and management, AI-enabled APIs and services, and automated machine learning services. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).


The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.


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Table of Contents

1. Executive Summary2. Cloud AI Market Characteristics3. Cloud AI Market Trends and Strategies
4. Cloud AI Market - Macro Economic Scenario
4.1. Impact of High Inflation on the Market
4.2. Ukraine-Russia War Impact on the Market
4.3. COVID-19 Impact on the Market
5. Global Cloud AI Market Size and Growth
5.1. Global Cloud AI Market Drivers and Restraints
5.1.1. Drivers of the Market
5.1.2. Restraints of the Market
5.2. Global Cloud AI Historic Market Size and Growth, 2018-2023, Value ($ Billion)
5.3. Global Cloud AI Forecast Market Size and Growth, 2023-2028, 2033F, Value ($ Billion)
6. Cloud AI Market Segmentation
6.1. Global Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Solution
  • Service
6.2. Global Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Deep Learning
  • Machine Learning
  • Natural Language Processing
  • Other Technologies
6.3. Global Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Banking Financial Services and Insurance (BFSI)
  • Healthcare
  • Automotive
  • Retail
  • Government
  • Education
  • Other End-User Verticals
7. Cloud AI Market Regional and Country Analysis
7.1. Global Cloud AI Market, Split by Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
7.2. Global Cloud AI Market, Split by Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8. Asia-Pacific Cloud AI Market
8.1. Asia-Pacific Cloud AI Market Overview
Region Information, Impact of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
8.2. Asia-Pacific Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.3. Asia-Pacific Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.4. Asia-Pacific Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
9. China Cloud AI Market
9.1. China Cloud AI Market Overview
9.2. China Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.3. China Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.4. China Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
10. India Cloud AI Market
10.1. India Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.2. India Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.3. India Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11. Japan Cloud AI Market
11.1. Japan Cloud AI Market Overview
11.2. Japan Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.3. Japan Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.4. Japan Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12. Australia Cloud AI Market
12.1. Australia Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.2. Australia Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.3. Australia Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13. Indonesia Cloud AI Market
13.1. Indonesia Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.2. Indonesia Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.3. Indonesia Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14. South Korea Cloud AI Market
14.1. South Korea Cloud AI Market Overview
14.2. South Korea Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.3. South Korea Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.4. South Korea Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15. Western Europe Cloud AI Market
15.1. Western Europe Cloud AI Market Overview
15.2. Western Europe Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.3. Western Europe Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.4. Western Europe Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16. UK Cloud AI Market
16.1. UK Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.2. UK Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.3. UK Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17. Germany Cloud AI Market
17.1. Germany Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.2. Germany Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.3. Germany Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18. France Cloud AI Market
18.1. France Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.2. France Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.3. France Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19. Italy Cloud AI Market
19.1. Italy Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.2. Italy Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.3. Italy Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20. Spain Cloud AI Market
20.1. Spain Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.2. Spain Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.3. Spain Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21. Eastern Europe Cloud AI Market
21.1. Eastern Europe Cloud AI Market Overview
21.2. Eastern Europe Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.3. Eastern Europe Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.4. Eastern Europe Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22. Russia Cloud AI Market
22.1. Russia Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.2. Russia Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.3. Russia Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23. North America Cloud AI Market
23.1. North America Cloud AI Market Overview
23.2. North America Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.3. North America Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.4. North America Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24. USA Cloud AI Market
24.1. USA Cloud AI Market Overview
24.2. USA Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.3. USA Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.4. USA Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25. Canada Cloud AI Market
25.1. Canada Cloud AI Market Overview
25.2. Canada Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.3. Canada Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.4. Canada Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26. South America Cloud AI Market
26.1. South America Cloud AI Market Overview
26.2. South America Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.3. South America Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.4. South America Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27. Brazil Cloud AI Market
27.1. Brazil Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.2. Brazil Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.3. Brazil Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28. Middle East Cloud AI Market
28.1. Middle East Cloud AI Market Overview
28.2. Middle East Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.3. Middle East Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.4. Middle East Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29. Africa Cloud AI Market
29.1. Africa Cloud AI Market Overview
29.2. Africa Cloud AI Market, Segmentation by Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.3. Africa Cloud AI Market, Segmentation by Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.4. Africa Cloud AI Market, Segmentation by End-User Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
30. Cloud AI Market Competitive Landscape and Company Profiles
30.1. Cloud AI Market Competitive Landscape
30.2. Cloud AI Market Company Profiles
30.2.1. Amazon Web Services Inc.
30.2.1.1. Overview
30.2.1.2. Products and Services
30.2.1.3. Strategy
30.2.1.4. Financial Performance
30.2.2. MicroStrategy Incorporated
30.2.2.1. Overview
30.2.2.2. Products and Services
30.2.2.3. Strategy
30.2.2.4. Financial Performance
30.2.3. Apple Inc.
30.2.3.1. Overview
30.2.3.2. Products and Services
30.2.3.3. Strategy
30.2.3.4. Financial Performance
30.2.4. Microsoft Corporation
30.2.4.1. Overview
30.2.4.2. Products and Services
30.2.4.3. Strategy
30.2.4.4. Financial Performance
30.2.5. Google LLC
30.2.5.1. Overview
30.2.5.2. Products and Services
30.2.5.3. Strategy
30.2.5.4. Financial Performance
31. Cloud AI Market Other Major and Innovative Companies
31.1. Huawei Cloud
31.2. Intel Corporation
31.3. Accenture PLC
31.4. International Business Machines Corporation (IBM)
31.5. Cisco Systems Inc.
31.6. Oracle Corporation
31.7. Salesforce Inc.
31.8. SoundHound Inc.
31.9. Tata Consultancy Services
31.10. Nvidia Corporation
31.11. Capgemini SE
31.12. Baidu Inc.
31.13. Cognizant Technology Solutions Corporation
31.14. Infosys Limited
31.15. ZTE Corp.
32. Global Cloud AI Market Competitive Benchmarking33. Global Cloud AI Market Competitive Dashboard34. Key Mergers and Acquisitions in the Cloud AI Market
35. Cloud AI Market Future Outlook and Potential Analysis
35.1 Cloud AI Market in 2028 - Countries Offering Most New Opportunities
35.2 Cloud AI Market in 2028 - Segments Offering Most New Opportunities
35.3 Cloud AI Market in 2028 - Growth Strategies
35.3.1 Market Trend-based Strategies
35.3.2 Competitor Strategies
36. Appendix
36.1. Abbreviations
36.2. Currencies
36.3. Historic and Forecast Inflation Rates
36.4. Research Inquiries
36.5. About the Analyst
36.6. Copyright and Disclaimer

Executive Summary

Cloud AI Global Market Report 2024 provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on cloud ai market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the coronavirus and how it is responding as the impact of the virus abates.
  • Assess the Russia-Ukraine war’s impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis.
  • Report will be updated with the latest data and delivered to you along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for cloud ai? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? This report answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:
  • The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.
  • The impact of higher inflation in many countries and the resulting spike in interest rates.
  • The continued but declining impact of COVID-19 on supply chains and consumption patterns.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Report Scope

Markets Covered:
1) By Type: Solution; Service
2) By Technology: Deep Learning; Machine Learning; Natural Language Processing; Other Technologies
3) By End-user Vertical: Banking Financial Services and Insurance (BFSI); Healthcare; Automotive; Retail; Government; Education; Other End-user Verticals

Key Companies Mentioned: Amazon Web Services Inc.; MicroStrategy Incorporated; Apple Inc.; Microsoft Corporation; Google LLC

Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain

Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa

Time Series: Five years historic and ten years forecast

Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita

Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments

Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes

Delivery Format: PDF, Word and Excel Data Dashboard

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Amazon Web Services Inc.
  • MicroStrategy Incorporated
  • Apple Inc.
  • Microsoft Corporation
  • Google LLC
  • Huawei Cloud
  • Intel Corporation
  • Accenture PLC
  • International Business Machines Corporation (IBM)
  • Cisco Systems Inc.
  • Oracle Corporation
  • Salesforce Inc.
  • SoundHound Inc.
  • Tata Consultancy Services
  • Nvidia Corporation
  • Capgemini SE
  • Baidu Inc.
  • Cognizant Technology Solutions Corporation
  • Infosys Limited
  • ZTE Corp.
  • DXC Technology
  • Atos SE
  • HCL Technologies
  • Wipro Ltd.
  • Twilio Inc.
  • Nuance Communications Inc.
  • Verint Systems Inc.
  • DataRobot Inc.
  • H2O.ai.

Methodology

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