The global Artificial Intelligence systems spending market is forecast to reach a market size of USD 767.60 Billion by 2028, and register a significantly high CAGR, according to latest analysis by Emergen Research. Growth of the global Artificial Intelligence systems spending market in terms of revenue is expected to increase significantly during the forecast period due to rising demand for AI solutions in the education sector. Rising adoption of AI in the BFSI industry to provide enhanced customer service is also another major factor expected to further boost global Artificial Intelligence systems spending market growth during the forecast period. Rising focus of governments on digital economy transformation is expected to further support market growth going ahead.
However, high cost of AI solutions is expected to restrain adoption, and in turn, impact growth of the global Artificial Intelligence systems spending market growth to a certain extent during the forecast period.
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Global Artificial Intelligence Systems Spending Market research report delivers a comprehensive analysis of the market outlook, regulatory framework, and macro- and micro-economic factors influencing the growth of the market. The report is formulated through extensive research and surveys to offer accurate and authentic information about the market size, market share, product portfolio, revenue generation, and projected market growth. The report offers key insights into the competitive and regional landscape of the market to assist the stakeholders and investors in formulating strategic business plans.
Leading Players Analyzed in the Report are:
Google LLC, Microsoft Corporation, Apple Inc., Facebook, Inc., International Business Machines Corporation, Intel Corporation, Wipro Limited, Accenture PLC, Infosys Limited, and Salesforce.com Inc.
Emergen Research has segmented the global Artificial Intelligence systems spending market on the basis of component, technology, application, end-use, and region.
- Component Outlook (Revenue, USD Billion; 2021–2028)
- Software
- Applications
- Platforms
- Hardware
- Server
- Storage
- Service
- IT service
- Business service
- Software
- Technology Outlook (Revenue, USD Billion; 2021–2028)
- Natural language processing
- Deep learning
- Artificial general intelligence (AGI)
- Machine vision
- Artificial super intelligence (ASI)
- Machine learning
- Application Outlook (Revenue, USD Billion; 2021–2028)
- Automated threat intelligence & prevention systems
- Fraud analysis & investigation
- Automated customer service
- Others
- End-use Outlook (Revenue, USD Billion; 2021–2028)
- Healthcare
- BFSI
- Transportation
- Education
- Telecommunications
- Media & entertainment
- Retail
- Manufacturing
- Construction
- Information technology
- Others
Regional Landscape:
- North America (U.S., Canada)
- Europe (U.K., Italy, Germany, France, Rest of EU)
- Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
- Latin America (Chile, Brazil, Argentina, Rest of Latin America)
- Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
Objectives of the Report:
Study of the global Artificial Intelligence Systems Spending market size by key regions, types, and applications with reference to historical data (2017-2019) and forecast (2021-2028)
Industrial structure analysis of the Artificial Intelligence Systems Spending market by identification of various sub-segments
Extensive analysis of key market players along with their SWOT analysis
Analysis of Artificial Intelligence Systems Spending market based on growth trends, futuristic outlook, and contribution to the total growth of the market
Analysis of drivers, constraints, opportunities, challenges, and risks in the global Artificial Intelligence Systems Spending
Comprehensive analysis of competitive developments such as expansions, agreements, new product launches, and other strategic alliances
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About Us:
At Emergen Research, we believe in advancing with technology. We are a growing market research and strategy consulting company with an exhaustive knowledge base of cutting-edge and potentially market-disrupting technologies that are predicted to become more prevalent in the coming decade.
