Comprehensive Report on Global Enterprise AI Market

The "Global Enterprise AI Market - Technologies, Market Share and Industry Forecast to 2024" report has been added to's offering.

Enterprise AI refers to the use of artificial intelligence in enterprises to transform business operations and strategy. Global enterprise AI market is expected to rise with the CAGR of about 48.5% during the forecast period 2017-2024.

Need of artificial intelligence to analyze large and complex data sets is one of the factors that contributes towards the growth of global enterprise AI market during the forecast period. However, slow digitization rate restricts the market growth. Rising of AI demand to enhance business functions is one of the major opportunities whereas, lack of skilled employees acts as one of the challenges for global enterprise AI market during the forecast period.

Geographically, global enterprise AI market report has been segmented in regions such as North America, Asia Pacific, Europe and Rest of the World. North America is expected to dominate market during the forecast period due to technological advancements in artificial intelligence, presence of majority of the prominent market players, etc. However, Asia Pacific is expected to be the fastest growing region in enterprise AI market during the forecast period due to increasing applications in various end-user industries, etc.

The growth in global enterprise AI market is also influenced by the presence of major players such as Google Inc. (United States), IBM Corporation (United States), Microsoft Corporation (United States), Amazon Web Services, Inc. (United States), Hewlett Packard Enterprise (United States), etc. In order to gain competitive advantage, the major players of global enterprise AI market are adopting various strategies such as mergers & acquisitions, product launch, strategic partnership, collaboration, joint ventures, investment, strategic expansion, funding, etc. during the forecast period.

The report on global enterprise AI market is segmented on the basis of component, technology, application, deployment type, organization size and industry. Component segment includes solution and services. Technology segment includes machine learning and deep learning and natural language processing. Application includes security and risk management, marketing management, customer support and experience, human resources and recruitment management, analytics application and process automation. Deployment type segment includes cloud and on premises market.

Organization size includes small and medium sized businesses and large enterprises. Industry segment includes banking, financial services, and insurance (BFSI), advertising, media, and entertainment, retail and e commerce, healthcare and life sciences, government and defense, transportation, agriculture, manufacturing, IT and telecommunication and other industries. Cloud is expected to dominate the market during the forecast period due to its increasing adoption to plan cost effective services.

Key Topics Covered:

1. Introduction
1.1. Executive Summary
1.2. Estimation Methodology

2. Market Overview
2.1. Global Enterprise AI Market: Evolution & Transition
2.2. Market Definition & Scope
2.3. Industry Structure
2.4. Regulatory Framework
2.5. Total Market Analysis
2.5.1. Top 5 Findings
2.5.2. Top 5 Opportunity Markets
2.5.3. Top 5 Companies
2.5.4. Top 3 Competitive Strategies
2.6. Estimation Analysis
2.7. Strategic Analysis
2.7.1. Investment Vs. Adoption Model
2.7.2. 360-Degree Industry Analysis
2.7.3. Porter's 5 Force Model
2.7.4. See-Saw Analysis
2.7.5. Consumer Analysis And Key Buying Criteria
2.8. Competitive Analysis
2.8.1. Key Strategies & Analysis
2.8.2. Market Share Analysis & Top Company Analysis
2.9. Strategic Recommendations & Key Conclusions
2.9.1. Investment Opportunities By Regions
2.9.2. Opportunities In Emerging Applications
2.9.3. Investment Opportunity In Fastest Growing Segment

3. Market Determinants
3.1. Market Drivers
3.1.1. Increasing Demand For AI-Based Solutions And Platforms
3.1.2. Need To Analyze Large And Complex Data Sets
3.1.3. Focus Of Market Players For The Development Of Innovative Products
3.1.4. Growth In Adoption Of Cloud Based Applications And Services
3.2. Market Restraints
3.2.1. Slow Digitization Rate
3.2.2. Lack Of Understanding Of State-Of-The-Art Systems
3.3. Market Opportunities
3.3.1. Rising Demand To Enhance Business Functions
3.3.2. Emerging Innovations Across Industries
3.4. Market Challenges
3.4.1. Concerns Regarding Data Privacy And Security
3.4.2. Lack Of Skilled Employees

4. Global Enterprise AI Market By Component
4.1. Market Definition And Scope
4.2. Decision Support Database & Estimation Methodology
4.3. Comparative Analysis Across Market Segments
4.4. Opportunity Matrix
4.5. Market Segmentation
4.5.1. Global Solution Market
4.5.2. Global Services Market Adoption Scenario & Market Determinants Market Estimations And Forecasts 2015-2024 ($ Million) Market Participants And Products Key Conclusions Market Sub-Segments Professional Services Managed Services

5. Global Enterprise AI Market By Technology
5.1. Market Definition And Scope
5.2. Decision Support Database & Estimation Methodology
5.3. Comparative Analysis Across Market Segments
5.4. Opportunity Matrix
5.5. Market Segmentation
5.5.1. Global Machine Learning And Deep Learning Market
5.5.2. Global Natural Language Processing Market

6. Global Enterprise AI Market By Application
6.1. Market Definition And Scope
6.2. Decision Support Database & Estimation Methodology
6.3. Comparative Analysis Across Market Segments
6.4. Opportunity Matrix
6.5. Market Segmentation
6.5.1. Global Security And Risk Management Market
6.5.2. Global Marketing Management Market
6.5.3. Global Customer Support And Experience Market
6.5.4. Global Human Resources And Recruitment Management Market
6.5.5. Global Analytics Application Market
6.5.6. Global Process Automation Market

7. Global Enterprise AI Market By Deployment Type
7.1. Market Definition And Scope
7.2. Decision Support Database & Estimation Methodology
7.3. Comparative Analysis Across Market Segments
7.4. Opportunity Matrix
7.5. Market Segmentation
7.5.1. Global Cloud Market
7.5.2. Global On-Premises Market

8. Global Enterprise AI Market By Organization Size
8.1. Market Definition And Scope
8.2. Decision Support Database & Estimation Methodology
8.3. Comparative Analysis Across Market Segments
8.4. Opportunity Matrix
8.5. Market Segmentation
8.5.1. Global Small And Medium-Sized Businesses Market
8.5.2. Global Large Enterprises Market

9. Global Enterprise AI Market By Industry
9.1. Market Definition And Scope
9.2. Decision Support Database & Estimation Methodology
9.3. Comparative Analysis Across Market Segments
9.4. Opportunity Matrix
9.5. Market Segmentation
9.5.1. Global Banking, Financial Services And Insurance Market
9.5.2. Global Advertising, Media And Entertainment Market
9.5.3. Global Retail And Ecommerce Market
9.5.4. Global Healthcare And Life Sciences Market
9.5.5. Global Government And Defense Market
9.5.6. Global Transportation Market
9.5.7. Global Agriculture Market
9.5.8. Global Manufacturing Market
9.5.9. Global IT And Telecommunication Market

10. Competitive Landscape
10.1. Key Strategies
10.1.1. List Of Mergers And Acquisition
10.1.2. List Of Joint Ventures
10.1.3. List Of Product Launches
10.1.4. List Of Partnerships

11. Geographic Analysis
11.1. Decision Support Database & Estimation Methodology
11.2. Comparative Analysis Across Market Segments
11.3. Opportunity Matrix
11.4. Global Enterprise AI Market By Region 2015-2024

12. Company Profiles

  • Amazon Web Services, Inc. (U.S.)
  • Anodot Ltd. (Israel)
  • Appier Inc. (Taiwan)
  • Darktrace (UK)
  • Datarobot, Inc. (U.S.)
  • Google Inc. (U.S.)
  • Hewlett Packard Enterprise (U.S.)
  • IBM Corporation (U.S.)
  • Intel Corporation (U.S.)
  • Microsoft Corporation (U.S.)
  • NVIDIA Corporation (U.S)
  • SAP SE (Germany)
  • Sentient Technologies (U.S.)
  • Wipro (India)


Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.