Report Highlights
The global market for global enterprise AI market has a significant scope and offers a comprehensive description of the market, including its potential, growth drivers, challenges, and opportunities. The market has been segmented based on component, technology, application area, end user, and region. Geographically, the market has been divided into North America, Europe, Asia-Pacific (APAC), and the Rest of the World. The global and regional markets were corroborated for the present and forecasted values based on statistical analysis.
Report Includes
- A brief general outlook of the global market for enterprise artificial intelligence (AI) systems
- Analyses of the global market trends, with historic market revenue for 2022, estimates for 2023, forecasts for 2024 and 2026, and projections of compound annual growth rates (CAGRs) through 2028
- Understanding of the upcoming market potential for enterprise AI market, and areas of focus to forecast this market into various segments and sub-segments
- Estimation of the actual market size and revenue forecast for the global enterprise AI market, and corresponding market share analysis based on component, technology, end user, and geographical region
- Discussion of the major growth drivers, opportunities and challenges, technology updates, prospects, and impact of macroeconomic variables influencing the market for enterprise AI systems as a basis for projecting demand in the next few years (2023-2028)
- Identification of the key players operating in the global enterprise AI market, and analysis of their competitive landscape based on product portfolios, recent developments, operational integration, and other strategic advantages
- Company profiles of the major global players
Report Scope
In this report, the market has been segmented based on component, technology, end user, and geography. The report provides an overview of the global Enterprise AI market and analyzes market trends. Using 2022 as the base year, the report provides estimated market data for the forecast period, 2023-2028. Revenue forecasts for this period are segmented based on technology, end user, and geographical region. Market values have been estimated based on the total revenue of Enterprise AI providers.
The report covers the market in the different regions. It also highlights major trends and challenges that affect the market and the vendor landscape. The report estimates the global market for enterprise AI in 2022 and provides projections for the expected market size through 2028. The scope of the study includes different types of enterprise AI and also includes the services and technology that support enterprise AI.
Report Synopsis
| Report Metrics | Details | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Base year considered | 2022 | ||||||||||||
| Forecast period considered | 2023-2028 | ||||||||||||
| Base year market size | $8.3 billion | ||||||||||||
| Market size forecast | $68.9 billion | ||||||||||||
| Growth rate | CAGR of 43.9% from 2023 to 2028 | ||||||||||||
| Units considered | $ Millions | ||||||||||||
| Segments covered | By Component, Technology, End User, and Region | ||||||||||||
| Regions covered | North America, Europe, Asia-Pacific, and Rest of the World (RoW) | ||||||||||||
| Key Market Drivers |
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| Companies studied |
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Frequently Asked Questions (FAQs)
- Increasing adoption of AI solutions across verticals.
- Growing investment in AI technologies.
Analyst Credentials
BCC Research Team possesses expertise and experience in life and physical science domains. They specialize in offering valuable business insights, including industry analysis, competitor intelligence, strategic and financial analysis, and opportunity assessment. The team has in-depth knowledge of various sectors, including healthcare, biotechnology, pharmaceuticals, IT, automation, advanced materials, and energy. They are proficient in qualitative and quantitative market intelligence providing clients with actionable insights. With a vast understanding of the competitive landscape, the team can support clients in making data-driven decisions to help them achieve a competitive edge in their respective markets.
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