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 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
Table of Contents
Executive Summary
Enterprise AI refers to the utilization of AI tools and techniques within organizations to enhance operational efficiency, decision-making processes, and customer experiences. It encompasses various applications such as natural language processing (NLP), computer vision, predictive analytics, and machine learning (ML). One of the primary benefits of AI in this context is its ability to automate repetitive tasks, enabling employees to focus on more complex and innovative endeavors. By automating tasks like data entry, customer service, and inventory management, businesses can improve efficiency and productivity while using fewer resources. Additionally, AI can offer valuable insights into business operations, enabling optimization and data-driven decision-making.
AI offers a significant advantage in the industry by automating repetitive tasks, thus enabling workers to focus on more complex and creative work. By automating procedures such as data input, customer service, and inventory management, businesses can enhance efficiency and productivity while utilizing fewer resources. Additionally, AI can provide valuable insights into the operations of firms, enabling optimization and data-driven decision-making.
To exemplify the impact of enterprise AI, the case of Daikin, a prominent manufacturing company, can be considered. The company leveraged enterprise AI to enhance inventory planning and sales prediction across more than 250 sites. Daikin implemented a multi-algorithmic time-series forecasting system that achieved an accuracy rate of over 90% in volume and value prediction. This improved accuracy enabled Daikin to make more informed decisions and optimize their operations effectively.
In this report, the global enterprise AI market has been segmented based on type, technology, end user, and geography. Based on component, the enterprise AI market has been categorized into solutions and services. Based on technology, the enterprise AI market is categorized into NLP, ML, computer vision, and others. Based on end-user, the enterprise AI market has been categorized into healthcare, retail, manufacturing, IT/Telecom, BFSI, and others. By geography, the market has been segmented into North America, Europe, Asia-Pacific, and Rest of the World. The North America region is currently the most dominant market for enterprise AI market.
Companies Mentioned
- Amazon Web Services, Inc.
- C3.Ai, Inc.
- Datarobot Inc.
- Google LLC
- Hewlett Packard Enterprise (Hpe)
- Ibm Corp.
- Intel Corp.
- Microsoft Corp.
- Nvidia Corp.
- Oracle Corp.
- Sap Se
- Google LLC
- Ibm Corp.
- Microsoft Corp.
