Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Enterprise Artificial Intelligence Market by Type (Business Intelligence, Customer Management, Marketing), By Application (Retail, Medical Insurance, Automobile Industry, Aerospace) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Enterprise Artificial Intelligence Market by Type (Business Intelligence, Customer Management, Marketing), By Application (Retail, Medical Insurance, Automobile Industry, Aerospace) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 241280 4200 Service & Software 377 242 Pages 4.8 (46)
                                          

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.


Global Enterprise Artificial Intelligence Industry Outlook


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:

  1. SAS Institute (U.S.)
  2. IBM (U.S.)
  3. Microsoft (U.S.)
  4. Amazon Web Services (U.S.)
  5. Intel (U.S.)
  6. Google (U.S.)
  7. SAP SE (Germany)
  8. Sentinent Technologies (U.S.)
  9. Oracle Corporation (U.S.)
  10. Hewlett Packard Enterprise (U.S.)
  11. Wipro Technologies (India)

Global Enterprise Artificial Intelligence Market Overview


Highlights of The Enterprise Artificial Intelligence Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Business Intelligence
    2. Customer Management
    3. Marketing
  1. By Application:

    1. Retail
    2. Medical Insurance
    3. Automobile Industry
    4. Aerospace
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. 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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Global Enterprise Artificial Intelligence Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. 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)

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