Market Overview:
The global enterprise artificial intelligence market is expected to grow at a CAGR of 33.8% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for AI-based solutions from various industries, such as retail, medical insurance, automobile industry and aerospace. Additionally, the growing adoption of AI by small and medium businesses is also contributing to the growth of this market. However, lack of skilled workforce is restraining the growth of this market.
Product Definition:
Enterprise Artificial Intelligence (EAI) is the application of artificial intelligence technology within a business context. EAI includes the use of AI applications such as machine learning and natural language processing to improve business operations, decision-making, and customer interactions. The goal of EAI is to enable businesses to make better decisions faster, automate processes, and create a more intelligent workplace that can interact with customers on a more human level.
Business Intelligence:
Business intelligence (BI) is a collection of tools and techniques used to analyze data for hidden trends and patterns. It helps in gaining insights into the behavior of customers, clients or employees by crunching large amounts of data. The information obtained from business intelligence can be used to make informed decisions which help organizations grow in terms of profitability as well as customer satisfaction.
Customer Management:
The Customer Management and it’s usage in Enterprise Artificial Intelligence (EAI) market is expected to grow at a significant pace over the forecast period. The key drivers attributing to the growth of this market include growing adoption of digital services across industries, rising number of internet users, and rapid technological advancements. Additionally, increasing competition in markets is also anticipated to drive demand for customer management solutions over the next few years.
Application Insights:
The marketing application segment led the global enterprise artificial intelligence market in 2017. The marketing automation solutions are adopting AI to enhance customer engagement through digital and social media advertising, as well as to automate business processes such as campaign management and content generation.
The medical insurance industry is expected to witness significant growth over the forecast period due to increasing penetration of healthcare services coupled with rising demand for cost-effective products & services. The automobile industry is also estimated to witness considerable growth over the forecast period owing to increasing use of machine learning algorithms in various automotive applications such as autonomous driving, assisted driving, car-to-road communication systems, vehicle safety systems among others. In addition, these applications are expected drive revenue in other industries such a retail by enabling organizations with real-time insights on customers behavior thereby improving business operations leading towards increased adoption of enterprise AI across all industries globally.
Regional Analysis:
North America accounted for the largest share of over 40% in 2017. The region is expected to maintain its lead throughout the forecast period owing to early adoption of advanced technologies by several large enterprises. In addition, presence of major technology players such as IBM Corporation; Google LLC; Microsoft Corporation; and Amazon Web Services, Inc. has fueled market growth in this region.
Asia Pacific is anticipated to witness significant growth over the forecast period owing to increasing investments by prominent companies in developing innovative solutions based on artificial intelligence technology for customer management and marketing purposes. For instance, Alibaba Group Holding Ltd., a Chinese e-commerce giant invested USD X billion from 2016 to 2017 on AI research and development center located at Silicon Valley U.S., which represents a huge boost for regional market growth during the forecast period from 2018 To 2030 (est.). Moreover, growing demand among enterprises operating large data sets across multiple industries will further fuel regional market expansion during the same time frame (est.).
Growth Factors:
- Increasing demand for AI-enabled customer service and support
- The increasing demand for AI in the retail sector to improve the customer experience and increase sales
- The increasing use of AI in finance and banking to improve decision making, risk management, and fraud detection
- The increasing use of AI in healthcare to diagnose diseases, predict patient outcomes, and personalize treatments
- Growing number of startups focused on enterprise artificial intelligence
Scope Of The Report
Report Attributes
Report Details
Report Title
Enterprise Artificial Intelligence Market Research Report
By Type
Business Intelligence, Customer Management, Marketing
By Application
Retail, Medical Insurance, Automobile Industry, Aerospace
By Companies
SAS Institute (U.S.), IBM (U.S.), Microsoft (U.S.), Amazon Web Services (U.S.), Intel (U.S.), Google (U.S.), SAP SE (Germany), Sentinent Technologies (U.S.), Oracle Corporation (U.S.), Hewlett Packard Enterprise (U.S.), Wipro Technologies (India)
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
242
Number of Tables & Figures
170
Customization Available
Yes, the report can be customized as per your need.
Global Enterprise Artificial Intelligence Market Report Segments:
The global Enterprise Artificial Intelligence market is segmented on the basis of:
Types
Business Intelligence, Customer Management, Marketing
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Retail, Medical Insurance, Automobile Industry, Aerospace
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- SAS Institute (U.S.)
- IBM (U.S.)
- Microsoft (U.S.)
- Amazon Web Services (U.S.)
- Intel (U.S.)
- Google (U.S.)
- SAP SE (Germany)
- Sentinent Technologies (U.S.)
- Oracle Corporation (U.S.)
- Hewlett Packard Enterprise (U.S.)
- Wipro Technologies (India)
Highlights of The Enterprise Artificial Intelligence Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Business Intelligence
- Customer Management
- Marketing
- By Application:
- Retail
- Medical Insurance
- Automobile Industry
- Aerospace
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Enterprise Artificial Intelligence Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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- Correctly Positioning New Products
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- Product & Brand Management
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Enterprise Artificial Intelligence is a type of AI that can be used in large organizations. It can help automate tasks and processes, improve decision making, and support business operations.
Some of the major players in the enterprise artificial intelligence market are SAS Institute (U.S.), IBM (U.S.), Microsoft (U.S.), Amazon Web Services (U.S.), Intel (U.S.), Google (U.S.), SAP SE (Germany), Sentinent Technologies (U.S.), Oracle Corporation (U.S.), Hewlett Packard Enterprise (U.S.), Wipro Technologies (India).
The enterprise artificial intelligence market is expected to register a CAGR of 33.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Enterprise Artificial Intelligence Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Enterprise Artificial Intelligence Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Enterprise Artificial Intelligence Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Enterprise Artificial Intelligence Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Enterprise Artificial Intelligence Market Size & Forecast, 2018-2028 4.5.1 Enterprise Artificial Intelligence Market Size and Y-o-Y Growth 4.5.2 Enterprise Artificial Intelligence Market Absolute $ Opportunity
Chapter 5 Global Enterprise Artificial Intelligence Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Enterprise Artificial Intelligence Market Size Forecast by Type
5.2.1 Business Intelligence
5.2.2 Customer Management
5.2.3 Marketing
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Enterprise Artificial Intelligence Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Enterprise Artificial Intelligence Market Size Forecast by Applications
6.2.1 Retail
6.2.2 Medical Insurance
6.2.3 Automobile Industry
6.2.4 Aerospace
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Enterprise Artificial Intelligence Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Enterprise Artificial Intelligence Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Enterprise Artificial Intelligence Analysis and Forecast
9.1 Introduction
9.2 North America Enterprise Artificial Intelligence Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Enterprise Artificial Intelligence Market Size Forecast by Type
9.6.1 Business Intelligence
9.6.2 Customer Management
9.6.3 Marketing
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Enterprise Artificial Intelligence Market Size Forecast by Applications
9.10.1 Retail
9.10.2 Medical Insurance
9.10.3 Automobile Industry
9.10.4 Aerospace
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Enterprise Artificial Intelligence Analysis and Forecast
10.1 Introduction
10.2 Europe Enterprise Artificial Intelligence Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Enterprise Artificial Intelligence Market Size Forecast by Type
10.6.1 Business Intelligence
10.6.2 Customer Management
10.6.3 Marketing
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Enterprise Artificial Intelligence Market Size Forecast by Applications
10.10.1 Retail
10.10.2 Medical Insurance
10.10.3 Automobile Industry
10.10.4 Aerospace
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Enterprise Artificial Intelligence Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Enterprise Artificial Intelligence Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Enterprise Artificial Intelligence Market Size Forecast by Type
11.6.1 Business Intelligence
11.6.2 Customer Management
11.6.3 Marketing
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Enterprise Artificial Intelligence Market Size Forecast by Applications
11.10.1 Retail
11.10.2 Medical Insurance
11.10.3 Automobile Industry
11.10.4 Aerospace
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Enterprise Artificial Intelligence Analysis and Forecast
12.1 Introduction
12.2 Latin America Enterprise Artificial Intelligence Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Enterprise Artificial Intelligence Market Size Forecast by Type
12.6.1 Business Intelligence
12.6.2 Customer Management
12.6.3 Marketing
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Enterprise Artificial Intelligence Market Size Forecast by Applications
12.10.1 Retail
12.10.2 Medical Insurance
12.10.3 Automobile Industry
12.10.4 Aerospace
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Enterprise Artificial Intelligence Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Enterprise Artificial Intelligence Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Enterprise Artificial Intelligence Market Size Forecast by Type
13.6.1 Business Intelligence
13.6.2 Customer Management
13.6.3 Marketing
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Enterprise Artificial Intelligence Market Size Forecast by Applications
13.10.1 Retail
13.10.2 Medical Insurance
13.10.3 Automobile Industry
13.10.4 Aerospace
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Enterprise Artificial Intelligence Market: Competitive Dashboard
14.2 Global Enterprise Artificial Intelligence Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 SAS Institute (U.S.)
14.3.2 IBM (U.S.)
14.3.3 Microsoft (U.S.)
14.3.4 Amazon Web Services (U.S.)
14.3.5 Intel (U.S.)
14.3.6 Google (U.S.)
14.3.7 SAP SE (Germany)
14.3.8 Sentinent Technologies (U.S.)
14.3.9 Oracle Corporation (U.S.)
14.3.10 Hewlett Packard Enterprise (U.S.)
14.3.11 Wipro Technologies (India)