조사회사：BCC Research 조사년월：2023년07월
Global Enterprise Artificial Intelligence (AI) Market
세계 엔터프라이즈 AI 시장의 글로벌 시장은 상당한 범위를 가지고 있으며 잠재력, 성장 동인, 과제 및 기회를 포함하여 시장에 대한 포괄적인 설명을 제공합니다.
| 페이지수 | 70 |
| 가격 | |
| Single User License | USD 3,500 |
| 2-5 User License | USD 4,200 |
| Site License | USD 5,040 |
| Enterprise License | USD 6,048 |
| 구성 | 영문조사보고서 |
Report Overview
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.
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 REDACTED% 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.
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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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
목차
Table of Contents
Chapter 1 Introduction
Scope of Report
Methodology
Information Sources
Geographic Breakdown
Chapter 2 Summary and Highlights
Market Outlook
Chapter 3 Market Overview
Overview
Enhanced Customer Service
Maximized Sales
Fortified Cybersecurity
Optimized Supply Chains
Task Automation
Existing Products Upgradation
Market Dynamics
Market Drivers
Market Restraints
Market Challenges
Future of Enterprise AI
Rise of AI in Business Development
Macroeconomic Factors
Impact of COVID-19 on the Market
Chapter 4 Market Opportunities
Growing Demand for Improving Business Functions
Increasing Partnership Among Market Leaders
Chapter 5 Market Breakdown by Component, Technology, and End User
Global Enterprise AI Market, by Component
Solutions
Services
Global Enterprise AI Market, by Technology
Natural Language Processing (NLP)
Machine Learning
Computer Vision
Others
Global Enterprise AI Market, by End User
Retail
BFSI
Manufacturing
Healthcare
IT and Telecom
Others
Chapter 6 Market Breakdown by Region
Overview
North America
Europe
Asia-Pacific
Rest of the World
Chapter 7 ESG Developments
Key ESG Issues in the AI Industry
Carbon Footprint/Environmental Impact
Electricity
AI Industry ESG Performance Analysis
Environmental Performance
Social Performance
Governance Performance
Case Study
Concluding Remarks from BCC
Chapter 8 Competitive Landscape
Introduction
Global Market Rankings
Google LLC
IBM Corp.
Microsoft Corp.
Chapter 9 M&A and Fundings Outlook
M&A Analysis
Startup Fundings in Enterprise AI
Chapter 10 Company Profiles
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
List of Tables
Summary Table : Global Market of Enterprise AI, by Region, Through 2028
Table 1 : Patnerships Among Market Leaders for Enterprise AI, 2022 and 2023
Table 2 : Global Market for Enterprise AI, by Component, Through 2028
Table 3 : Global Market for Enterprise AI, by Technology, Through 2028
Table 4 : Global Market for Enterprise AI, by End User, Through 2028
Table 5 : Global Market for Enterprise AI, by Region, Through 2028
Table 6 : North American Market for Enterprise AI, by Component, Through 2028
Table 7 : North American Market for Enterprise AI, by Technology, Through 2028
Table 8 : North American Market for Enterprise, by End User, Through 2028
Table 9 : European Market for Enterprise AI, by Component, Through 2028
Table 10 : European Market for Enterprise AI, by Technology, Through 2028
Table 11 : European Market for Enterprise AI, by End User, Through 2028
Table 12 : Asia-Pacific Market for Enterprise AI, by Component, Through 2028
Table 13 : Asia-Pacific Market for Enterprise AI, by Technology, Through 2028
Table 14 : Asia-Pacific Market for Enterprise AI, by End User, Through 2028
Table 15 : RoW Market for Enterprise AI, by Component, Through 2028
Table 16 : RoW Market for Enterprise AI, by Technology, Through 2028
Table 17 : RoW Market for Enterprise AI, by End User, Through 2028
Table 18 : Environmental Metrics for AI Industry
Table 19 : Social Metrics for AI Industy
Table 20 : Governance Metrics for AI Industy
Table 21 : Market Share of Top 3 Players in Enterprise AI Industry, 2022
Table 22 : Mergers and Acquisitions, Global Enterprise AI Market, Jul. 2019–Sept. 2022
Table 23 : Startup Fundings in Enterprise AI, January 2019–December 2022
Table 24 : Amazon Web Services, Inc.: Product Offerings
Table 25 : C3.ai, Inc.: Product Offerings
Table 26 : DataRobot Inc.: Product Offerings
Table 27 : Google LLC: Product Offerings
Table 28 : Google LLC: Recent Developments, 2023
Table 29 : Hewlett Packard Enterprise (HPE): Product Offerings
Table 30 : IBM Corp.: Product Offerings
Table 31 : IBM Corp.: Recent Developments, 2023
Table 32 : Intel Corp.: Product Offerings
Table 33 : Microsoft Corp.: Product Offerings
Table 34 : Microsoft Corp.: Recent Developments, 2023
Table 35 : Nvidia Corp.: Product Offerings
Table 36 : Nvidia Corp.: Recent Developments, 2023
Table 37 : Oracle Corp.: Product Offerings
Table 38 : Oracle Corp.: Recent Developments, 2023
Table 39 : SAP SE: Product Offerings
List of Figures
Summary Figure : Global Market Shares of Enterprise AI, by Region, 2022
Figure 1 : Benefits of Enterprise AI
Figure 2 : Global Market Shares of Enterprise AI, by Component, 2022
Figure 3 : Global Market Shares of Enterprise AI, by Technology, 2022
Figure 4 : Global Market Shares of Enterprise AI, by End User, 2022
Figure 5 : Global Market Shares of Enterprise AI, by Region, 2022
Figure 6 : North American Market Shares of Enterprise AI, by Component, 2022
Figure 7 : North American Market Shares of Enterprise AI, by Technology, 2022
Figure 8 : North American Market Shares of Enterprise AI, by End User, 2022
Figure 9 : European Market Shares of Enterprise AI, by Component, 2022
Figure 10 : European Market Shares of Enterprise AI, by Technology, 2022
Figure 11 : European Market Shares of Enterprise AI, by End User, 2022
Figure 12 : Asia-Pacific Market Shares of Enterprise AI, by Component, 2022
Figure 13 : Asia-Pacific Market Shares of Enterprise AI, by Technology, 2022
Figure 14 : Asia-Pacific Market Shares of Enterprise AI, by End User, 2022
Figure 15 : RoW Market Shares of Enterprise AI, by Component, 2022
Figure 16 : RoW Market Shares of Enterprise AI, by Technology, 2022
Figure 17 : RoW Market Shares of Enterprise AI, by End User, 2022
Figure 18 : Mergers and Acquisitions in Enterprise AI Market, by Deal Size, 2019-2022
Figure 19 : Distribution Share of Mergers and Acquisitions in Enterprise AI Market, by Region, 2020-2022
Figure 20 : Startup Fundings in Enterprise AI, by Funding Round, 2022
Figure 21 : Share of Startup Funding Amounts in Enterprise AI, by Various Rounds, 2022
