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Enterprise Artificial Intelligence (AI) Market by Deployment Type (Cloud and On-Premise), Technology (Machine Learning, Natural Language Processing, Image Processing, and Speech Recognition), Organization Size (Large Enterprises and Small & Medium Enterprises), and Industry Vertical (Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, and Others): Global Opportunity Analysis And Industry Forecast, 2019–2026

IC_196151
Pages: 329
Oct 2019 | 346 Views
 
Author(s) : Bhushan Jagtap , Supradip Baul
Tables: 143
Charts: 85
 

Enterprise Artificial Intelligence (AI) Market Outlook-2026

The global enterprise AI market size was valued at $4.68 billion in 2018, and is projected to reach $53.06 billion by 2026, registering a CAGR of 35.4% from 2019 to 2026. AI allows computer systems to build and perform tasks that usually require human interference and support, such as speech recognition, decision making, visual perception, and translation among languages. Artificial Intelligence (AI) might differ from people to people as per their own perspective. For instance, a few years ago, a recommendation engine of browsers might have been seen as AI but currently, the emergence of personalized bots, computers that can detect cancer, and self-driving cars are being seen as AI.

Enterprise Artificial Intelligence market

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Manufacturers in the enterprise Artificial Intelligence (AI) market witness enormous underlying intellectual challenges in the development and revision of such technology. The market for artificial intelligence is primarily driven by the improved productivity, diversified application areas, increased customer satisfaction, and big data integration. However, lack of skilled workforce and threat to human dignity and other threats are some of the restraints of the market. Nonetheless, the impact of these factors is expected to be minimal because of the introduction of new technologies in the market.

In terms of industry vertical, the IT & telecom segment is expected to contribute the highest enterprise Artificial Intelligence (AI) market share in the coming years, as various new startups have been investing in artificial intelligence solutions. Moreover, the rapid urbanization, technological advancement, and increase in demand for cloud applications fuel the demand for AI technologies in developing economies.

Enterprise Artificial Intelligence (AI) Market
By Deployment type

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Cloud would exhibit the highest CAGR of 38.9% during 2019-2026.

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North America is one of the fastest-growing regions in the global market. It is expected to witness a higher growth rate during the enterprise artificial intelligence market forecast period, owing to presence of the key artificial intelligence companies in the region.

The report focuses on the growth prospects, restraints, and trends of the enterprise artificial intelligence (AI) market analysis. The study provides Porter’s five forces analysis to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the global enterprise (AI) market.

Enterprise Artificial Intelligence (AI) Market
By Technology

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Natural Language Processing would exhibit the highest CAGR of 42.3% during 2019-2026.

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Segment review

The global enterprise artificial intelligence (AI) market is segmented on the basis of deployment type, technology, organization size, industry vertical, and region. Based on deployment type, the market is bifurcated into cloud and on-premise. Based on technology, the market is divided into machine learning, natural language processing, image processing, and speech recognition. Based on organization size, the market is classified into large enterprises and small & medium enterprises. Depending on industry vertical, the market is segmented into media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others. Based on region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Enterprise Artificial Intelligence (AI) Market
By Organization Size

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Small and medium enterprises would exhibit the highest CAGR of 39.0% during 2019-2026.

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The market is dominated by the global enterprise artificial intelligence (AI) players such as Alphabet Inc. (Google Inc.), Apple Inc., Amazon Web Services, Inc., International Business Machines Corporation, IPsoft Inc., MicroStrategy Incorporated, NVIDIA Corporation, SAP, Verint, and Wipro Limited.

Top impacting factors

Current and future enterprise Artificial Intelligence (AI) industry trends are outlined to determine the overall attractiveness of the market. Top impacting factors highlight the enterprise artificial intelligence (AI) market opportunities during the forecast period. Factors such as booming innovative start-ups and bursting advancements in technology have led to increase in investment in artificial intelligence technologies. Moreover, escalating demand for analyzing and interpreting large amount of data boosts the demand for artificial intelligence industry solutions. Furthermore, increase in adoption of AI in developing economies such as China, and India are expected to provide major opportunities for the enterprise AI market growth in the upcoming years.

Enterprise Artificial Intelligence (AI) Market
By Industry Vertical

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IT & Telecom would exhibit the highest revenue of $9578.04 during 2019-2026.

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Increasing investment in AI technologies

The ability of the AI technology to analyze the collected data efficiently and forecast decisions through crucial algorithms helps in productivity improvement; for instance, Netflix suggests movies on the basis of users’ previous viewing experiences. In the current business scenario, AI has revolutionized business management through integration of workflow management tools, brand purchase advertising, trend predictions, and other tools. These are the major factors of the increasing investment in AI technologies. Moreover, many small startups and tech companies have been investing in the adoption of open-source AI platforms to achieve higher efficiencies in their value chains. Moreover, the rise in availability of low-cost quality AI technologies is expected to also contribute toward the enterprise artificial intelligence market growth.

Enterprise Artificial Intelligence (AI) Market
By Region

2026
North America 
Europe
Asia-Pacific
LAMEA

Asia-Pacific would exhibit the highest CAGR of 41.4% during 2019-2026.

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Rise in need for analyzing and interpreting large amounts of data

AI has varied application areas including media & advertising, finance, retail, healthcare, automotive & transportation, agriculture, law, educational institutions, oil & gas, and other industries. This has driven the market of AI across the globe, owing to developments, such as self-driving cars, space exploration, accurate weather predictions, and others. Furthermore, AI is expected to affect healthcare advancements, owing to its ability to analyze huge amounts of genomic data and ensure more accurate treatment and prevention of medical conditions. Moreover, several organizations are realizing the need of analyzing and interpreting large amounts of data due to increase in competitiveness in the enterprise AI market globally.

Key Benefits for Enterprise Artificial Intelligence (AI) Market:

  • This study presents the analytical depiction of the global enterprise Artificial Intelligence (AI) market trends and future estimations to determine the imminent investment pockets.
  • A detailed analysis of the segments measures the potential of the enterprise artificial intelligence (ai) market. These segments outline the favorable conditions for the market.
  • The report presents information related to key drivers, restraints, and opportunities.
  • The current enterprise artificial intelligence (ai) market is quantitatively analyzed from 2018 to 2026 to highlight the financial competency of the industry.
  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in the industry.

Enterprise Artificial Intelligence (AI) Key Market Segments:

By Deployment Type

  • Cloud
  • On-Premise

By Technology

  • Machine Learning
  • Natural Language Processing
  • Image Processing
  • Speech Recognition

By Organization Size

  • Large Enterprises
  • Small & Medium Enterprises

By Industry Vertical

  • Media & Advertising
  • BFSI
  • IT & Telecom
  • Retail
  • Healthcare
  • Automotive & Transportation
  • Others

BY Region

  • North America
    • U.S.
    • Canada
  • Europe 
    • UK
    • Germany
    • France
    • Russia
    • Rest of Europe
  • Asia-Pacific 
    • China 
    • Japan
    • India 
    • Australia
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America 
    • Middle East
    • Africa

Key Market Players Profiled In The Report

  • Alphabet Inc. (Google Inc.)
  • Apple Inc.
  • Amazon Web Services, Inc.
  • International Business Machines Corporation
  • IPsoft Inc.
  • MicroStrategy Incorporated
  • NVIDIA Corporation
  • SAP
  • Verint
  • Wipro Limited
 

CHAPTER 1:    INTRODUCTION

1.1.    Report description
1.2.    Key benefits for stakeholders
1.3.    Key market segments
1.4.    Research methodology

1.4.1.    Secondary research
1.4.2.    Primary research
1.4.3.    Analyst tools & models

CHAPTER 2:    EXECUTIVE SUMMARY

2.1.    CXO perspective

CHAPTER 3:    MARKET OVERVIEW

3.1.    Market definition and scope
3.2.    Key findings

3.2.1.    Top investment pockets
3.2.2.    Top impacting factors

3.3.    Porter's five forces analysis
3.4.    Key player positioning, 2017
3.5.    Market dynamics

3.5.1.    Drivers

3.5.1.1.    Increasing investment in AI technologies
3.5.1.2.    Growing need for analyzing and interpreting large amounts of data
3.5.1.3.    Increasing customer satisfaction and adoption of reliable cloud applications

3.5.2.    Restraints

3.5.2.1.    Lack of trained and experienced staff

3.5.3.    Opportunities

3.5.3.1.    Increase in adoption of AI in developing economies
3.5.3.2.    Developing smarter virtual assistants and robots

3.6.    Market evolution/ Industry roadmap

CHAPTER 4:    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY DEPLOYMENT TYPE

4.1.    Market overview
4.2.    Cloud

4.2.1.    Key market trends, growth factors, and opportunities
4.2.2.    Market size and forecast, by region
4.2.3.    Market analysis, by country

4.3.    On-Premise

4.3.1.    Key market trends, growth factors, and opportunities
4.3.2.    Market size and forecast, by region
4.3.3.    Market analysis, by country

CHAPTER 5:    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY

5.1.    Market overview
5.2.    Machine learning

5.2.1.    Key market trends, growth factors, and opportunities
5.2.2.    Market size and forecast, by region
5.2.3.    Market analysis, by country

5.3.    Natural language processing (NLP)

5.3.1.    Key market trends, growth factors, and opportunities
5.3.2.    Market size and forecast, by region
5.3.3.    Market analysis, by country

5.4.    Image processing

5.4.1.    Key market trends, growth factors, and opportunities
5.4.2.    Market size and forecast, by region
5.4.3.    Market analysis, by country

5.5.    Speech recognition

5.5.1.    Key market trends, growth factors, and opportunities
5.5.2.    Market size and forecast, by region
5.5.3.    Market analysis, by country

CHAPTER 6:    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY ORGANIZATION SIZE

6.1.    Market overview
6.2.    Large enterprises

6.2.1.    Key market trends, growth factors, and opportunities
6.2.2.    Market size and forecast, by region
6.2.3.    Market analysis, by country

6.3.    Small and medium enterprises (SMEs)

6.3.1.    Key market trends, growth factors, and opportunities
6.3.2.    Market size and forecast, by region
6.3.3.    Market analysis, by country

CHAPTER 7:    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY INDUSTRY VERTICAL

7.1.    Market overview
7.2.    Media & advertising

7.2.1.    Key market trends, growth factors, and opportunities
7.2.2.    Market size and forecast, by region
7.2.3.    Market analysis, by country

7.3.    BFSI

7.3.1.    Key market trends, growth factors, and opportunities
7.3.2.    Market size and forecast, by region
7.3.3.    Market analysis, by country

7.4.    IT & telecom

7.4.1.    Key market trends, growth factors, and opportunities
7.4.2.    Market size and forecast, by region
7.4.3.    Market analysis, by country

7.5.    Retail

7.5.1.    Key market trends, growth factors, and opportunities
7.5.2.    Market size and forecast, by region
7.5.3.    Market analysis, by country

7.6.    Healthcare

7.6.1.    Key market trends, growth factors, and opportunities
7.6.2.    Market size and forecast, by region
7.6.3.    Market analysis, by country

7.7.    Automotive & transportation

7.7.1.    Key market trends, growth factors, and opportunities
7.7.2.    Market size and forecast, by region
7.7.3.    Market analysis, by country

7.8.    Others

7.8.1.    Key market trends, growth factors, and opportunities
7.8.2.    Market size and forecast, by region
7.8.3.    Market analysis, by country

CHAPTER 8:    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY REGION

8.1.    Market overview
8.2.    North America

8.2.1.    Key market trends, growth factors, and opportunities
8.2.2.    Market size and forecast, by deployment type
8.2.3.    Market size and forecast, by technology
8.2.4.    Market size and forecast, by organization size
8.2.5.    Market size and forecast, by industry vertical
8.2.6.    Market size and forecast, by country

8.2.6.1.    U.S.

8.2.6.1.1.    U.S. market size and forecast, by deployment type
8.2.6.1.2.    U.S. market size and forecast, by technology
8.2.6.1.3.    U.S. market size and forecast, by organization size
8.2.6.1.4.    U.S. market size and forecast, by industry vertical

8.2.6.2.    Canada

8.2.6.2.1.    Canada market size and forecast, by deployment type
8.2.6.2.2.    Canada market size and forecast, by technology
8.2.6.2.3.    Canada market size and forecast, by organization size
8.2.6.2.4.    Canada market size and forecast, by industry vertical

8.3.    Europe

8.3.1.    Key market trends, growth factors, and opportunities
8.3.2.    Market size and forecast, by deployment type
8.3.3.    Market size and forecast, by technology
8.3.4.    Market size and forecast, by organization size
8.3.5.    Market size and forecast, by industry vertical
8.3.6.    Market size and forecast, by country

8.3.6.1.    UK

8.3.6.1.1.    UK market size and forecast, by deployment type
8.3.6.1.2.    UK market size and forecast, by technology
8.3.6.1.3.    UK market size and forecast, by organization size
8.3.6.1.4.    UK market size and forecast, by industry vertical

8.3.6.2.    Germany

8.3.6.2.1.    Germany market size and forecast, by deployment type
8.3.6.2.2.    Germany market size and forecast, by technology
8.3.6.2.3.    Germany market size and forecast, by organization size
8.3.6.2.4.    Germany market size and forecast, by industry vertical

8.3.6.3.    France

8.3.6.3.1.    France market size and forecast, by deployment type
8.3.6.3.2.    France market size and forecast, by technology
8.3.6.3.3.    France market size and forecast, by organization size
8.3.6.3.4.    France market size and forecast, by industry vertical

8.3.6.4.    Italy

8.3.6.4.1.    Italy market size and forecast, by deployment type
8.3.6.4.2.    Italy market size and forecast, by technology
8.3.6.4.3.    Italy market size and forecast, by organization size
8.3.6.4.4.    Italy market size and forecast, by industry vertical

8.3.6.5.    Rest of Europe

8.3.6.5.1.    Rest of Europe market size and forecast, by deployment type
8.3.6.5.2.    Rest of Europe market size and forecast, by technology
8.3.6.5.3.    Rest of Europe market size and forecast, by organization size
8.3.6.5.4.    Rest of Europe market size and forecast, by industry vertical

8.4.    Asia-Pacific

8.4.1.    Key market trends, growth factors, and opportunities
8.4.2.    Market size and forecast, by deployment type
8.4.3.    Market size and forecast, by technology
8.4.4.    Market size and forecast, by organization size
8.4.5.    Market size and forecast, by industry vertical
8.4.6.    Market size and forecast, by country

8.4.6.1.    China

8.4.6.1.1.    China market size and forecast, by deployment type
8.4.6.1.2.    China market size and forecast, by technology
8.4.6.1.3.    China market size and forecast, by organization size
8.4.6.1.4.    China market size and forecast, by industry vertical

8.4.6.2.    Japan

8.4.6.2.1.    Japan market size and forecast, by deployment type
8.4.6.2.2.    Japan market size and forecast, by technology
8.4.6.2.3.    Japan market size and forecast, by organization size
8.4.6.2.4.    Japan market size and forecast, by industry vertical

8.4.6.3.    India

8.4.6.3.1.    India market size and forecast, by deployment type
8.4.6.3.2.    India market size and forecast, by technology
8.4.6.3.3.    India market size and forecast, by organization size
8.4.6.3.4.    India market size and forecast, by industry vertical

8.4.6.4.    South Korea

8.4.6.4.1.    South Korea market size and forecast, by deployment type
8.4.6.4.2.    South Korea market size and forecast, by technology
8.4.6.4.3.    South Korea market size and forecast, by organization size
8.4.6.4.4.    South Korea market size and forecast, by industry vertical

8.4.6.5.    Rest of Asia-Pacific

8.4.6.5.1.    Rest of Asia-Pacific market size and forecast, by deployment type
8.4.6.5.2.    Rest of Asia-Pacific market size and forecast, by technology
8.4.6.5.3.    Rest of Asia-Pacific market size and forecast, by organization size
8.4.6.5.4.    Rest of Asia-Pacific market size and forecast, by industry vertical

8.5.    LAMEA

8.5.1.    Key market trends, growth factors, and opportunities
8.5.2.    Market size and forecast, by deployment type
8.5.3.    Market size and forecast, by technology
8.5.4.    Market size and forecast, by organization size
8.5.5.    Market size and forecast, by industry vertical
8.5.6.    Market size and forecast, by country

8.5.6.1.    Latin America

8.5.6.1.1.    Latin America market size and forecast, by deployment type
8.5.6.1.2.    Latin America market size and forecast, by technology
8.5.6.1.3.    Latin America market size and forecast, by organization size
8.5.6.1.4.    Latin America market size and forecast, by industry vertical

8.5.6.2.    Middle East

8.5.6.2.1.    Middle East market size and forecast, by deployment type
8.5.6.2.2.    Middle East market size and forecast, by technology
8.5.6.2.3.    Middle East market size and forecast, by organization size
8.5.6.2.4.    Middle East market size and forecast, by industry vertical

8.5.6.3.    Africa

8.5.6.3.1.    Africa market size and forecast, by deployment type
8.5.6.3.2.    Africa market size and forecast, by technology
8.5.6.3.3.    Africa market size and forecast, by organization size
8.5.6.3.4.    Africa market size and forecast, by industry vertical

CHAPTER 9:    COMPETITIVE LANDSCAPE

9.1.    Competitive dashboard
9.2.    Key developments

9.2.1.    New product launches
9.2.2.    Partnership
9.2.3.    Acquisition
9.2.4.    Product development
9.2.5.    Collaboration
9.2.6.    Agreement
9.2.7.    Business Expansion

9.3.    Top Winning Strategies

CHAPTER 10:    COMPANY PROFILES

10.1.    Alphabet Inc.

10.1.1.    Company overview
10.1.2.    Key Executives
10.1.3.    Company snapshot
10.1.4.    Operating business segments
10.1.5.    Product portfolio
10.1.6.    R&D Expenditure
10.1.7.    Business performance
10.1.8.    Key strategic moves and developments

10.2.    Apple Inc.

10.2.1.    Company overview
10.2.2.    Key Executives
10.2.3.    Company snapshot
10.2.4.    Operating business segments
10.2.5.    Product portfolio
10.2.6.    R&D Expenditure
10.2.7.    Business performance
10.2.8.    Key strategic moves and developments

10.3.    Amazon Web Services, Inc.

10.3.1.    Company overview
10.3.2.    Key executives
10.3.3.    Company snapshot
10.3.4.    Operating business segments
10.3.5.    Product portfolio
10.3.6.    Business performance
10.3.7.    Key strategic moves and developments

10.4.    International Business Machines Corporation

10.4.1.    Company overview
10.4.2.    Key Executives
10.4.3.    Company snapshot
10.4.4.    Operating business segments
10.4.5.    Product portfolio
10.4.6.    R&D Expenditure
10.4.7.    Business performance
10.4.8.    Key strategic moves and developments

10.5.    IPsoft Inc.

10.5.1.    Company overview
10.5.2.    Key Executives
10.5.3.    Company snapshot
10.5.4.    Product portfolio
10.5.5.    Key strategic moves and developments

10.6.    MicroStrategy Incorporated

10.6.1.    Company overview
10.6.2.    Key Executives
10.6.3.    Company snapshot
10.6.4.    Product portfolio
10.6.5.    R&D Expenditure
10.6.6.    Business performance
10.6.7.    Key strategic moves and developments

10.7.    NVIDIA Corporation

10.7.1.    Company overview
10.7.2.    Key Executives
10.7.3.    Company snapshot
10.7.4.    Operating business segments
10.7.5.    Product portfolio
10.7.6.    R&D Expenditure
10.7.7.    Business performance
10.7.8.    Key strategic moves and developments

10.8.    SAP SE

10.8.1.    Company overview
10.8.2.    Key Executives
10.8.3.    Company snapshot
10.8.4.    Operating business segments
10.8.5.    Product portfolio
10.8.6.    R&D Expenditure
10.8.7.    Business performance
10.8.8.    Key strategic moves and developments

10.9.    Verint Systems Inc.

10.9.1.    Company overview
10.9.2.    Key Executives
10.9.3.    Company snapshot
10.9.4.    Operating business segments
10.9.5.    Product portfolio
10.9.6.    R&D Expenditure
10.9.7.    Business performance
10.9.8.    Key strategic moves and developments

10.10.    Wipro Limited

10.10.1.    Company overview
10.10.2.    Key Executives
10.10.3.    Company snapshot
10.10.4.    Operating business segments
10.10.5.    Product portfolio
10.10.6.    R&D Expenditure
10.10.7.    Business performance
10.10.8.    Key strategic moves and developments

LIST OF TABLES

TABLE 01.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 02.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR CLOUD, BY REGION, 2018–2026 ($MILLION)
TABLE 03.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR ON-PREMISE, BY REGION, 2018–2026 ($MILLION)
TABLE 04.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 05.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR MACHINE LEARNING, BY REGION, 2018–2026 ($MILLION)
TABLE 06.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR NATURAL LANGUAGE PROCESSING, BY REGION, 2018–2026 ($MILLION)
TABLE 07.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR IMAGE PROCESSING, BY REGION, 2018–2026 ($MILLION)
TABLE 08.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR SPEECH RECOGNITION, BY REGION, 2018–2026 ($MILLION)
TABLE 09.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 10.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR LARGE ENTERPRISES, BY REGION, 2018–2026 ($MILLION)
TABLE 11.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR SMALL AND MEDIUM ENTERPRISES (SMES), BY REGION, 2018–2026 ($MILLION)
TABLE 12.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 13.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR MEDIA & ADVERTISING, BY REGION, 2018–2026 ($MILLION)
TABLE 14.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR BFSI, BY REGION, 2018–2026 ($MILLION)
TABLE 15.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR IT & TELECOM, BY REGION, 2018–2026 ($MILLION)
TABLE 16.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR RETAIL, BY REGION, 2018–2026 ($MILLION)
TABLE 17.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR HEALTHCARE, BY REGION, 2018–2026 ($MILLION)
TABLE 18.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR AUTOMOTIVE & TRANSPORTATION, BY REGION, 2018–2026 ($MILLION)
TABLE 19.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR OTHERS, BY REGION, 2018–2026 ($MILLION)
TABLE 20.    NORTH AMERICA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 21.    NORTH AMERICA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 22.    NORTH AMERICA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 23.    NORTH AMERICA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 24.    NORTH AMERICA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 25.    U.S. ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 26.    U.S. ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 27.    U.S. ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 28.    U.S. ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 29.    CANADA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 30.    CANADA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 31.    CANADA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 32.    CANADA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 33.    EUROPE ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 34.    EUROPE ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 35.    EUROPE ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 36.    EUROPE ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 37.    EUROPE ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 38.    UK ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 39.    UK ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 40.    UK ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 41.    UK ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 42.    GERMANY ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 43.    GERMANY ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 44.    GERMANY ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 45.    GERMANY ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 46.    FRANCE ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 47.    FRANCE ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 48.    FRANCE ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 49.    FRANCE ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 50.    ITALY ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 51.    ITALY ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 52.    ITALY ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 53.    ITALY ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 54.    REST OF EUROPE ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 55.    REST OF EUROPE ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 56.    REST OF EUROPE ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 57.    REST OF EUROPE ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 58.    ASIA-PACIFIC ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 59.    ASIA-PACIFIC ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 60.    ASIA-PACIFIC ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 61.    ASIA-PACIFIC ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 62.    ASIA-PACIFIC ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 63.    CHINA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 64.    CHINA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 65.    CHINA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 66.    CHINA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 67.    JAPAN ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 68.    JAPAN ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 69.    JAPAN ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 70.    JAPAN ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 71.    INDIA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 72.    INDIA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 73.    INDIA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 74.    INDIA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 75.    SOUTH KOREA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 76.    SOUTH KOREA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 77.    SOUTH KOREA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 78.    SOUTH KOREA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 79.    REST OF ASIA-PACIFIC ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 80.    REST OF ASIA-PACIFIC ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 81.    REST OF ASIA-PACIFIC ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 82.    REST OF ASIA-PACIFIC ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 83.    LAMEA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 84.    LAMEA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 85.    LAMEA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 86.    LAMEA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 87.    LAMEA ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 88.    LATIN AMERICA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 89.    LATIN AMERICA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 90.    LATIN AMERICA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 91.    LATIN AMERICA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 92.    MIDDLE EAST ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 93.    MIDDLE EAST ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 94.    MIDDLE EAST ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 95.    MIDDLE EAST ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 96.    AFRICA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 97.    AFRICA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 98.    AFRICA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 99.    AFRICA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 100.    KEY NEW PRODUCT LAUNCHES (2016-2019)
TABLE 101.    PARTNERSHIP (2016-2019)
TABLE 102.    ACQUISTION (2016-2019)
TABLE 103.    PRODUCT DEVELOPMENT (2016-2019)
TABLE 104.    COLLABORATION (2016-2019)
TABLE 105.    AGREEMENT (2016-2019)
TABLE 106.    KEY EXPANSIONS (2016-2019)
TABLE 107.    ALPHABET INC.: KEY EXECUTIVES
TABLE 108.    ALPHABET INC.: COMPANY SNAPSHOT
TABLE 109.    ALPHABET INC.: OPERATING SEGMENTS
TABLE 110.    ALPHABET INC.: PRODUCT PORTFOLIO
TABLE 111.    APPLE INC.: KEY EXECUTIVES
TABLE 112.    APPLE INC.: COMPANY SNAPSHOT
TABLE 113.    APPLE INC.: PRODUCT CATEGORIES
TABLE 114.    APPLE INC.: PRODUCT PORTFOLIO
TABLE 115.    AMAZON WEB SERVICES, INC.: KEY EXECUTIVES
TABLE 116.    AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
TABLE 117.    AMAZON.COM, INC.: OPERATING SEGMENTS
TABLE 118.    AMAZON WEB SERVICES, INC.: PRODUCT PORTFOLIO
TABLE 119.    INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY EXECUTIVES
TABLE 120.    INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
TABLE 121.    INTERNATIONAL BUSINESS MACHINES CORPORATION: OPERATING SEGMENTS
TABLE 122.    INTERNATIONAL BUSINESS MACHINES CORPORATION: PRODUCT PORTFOLIO
TABLE 123.    IPSOFT INC.: KEY EXECUTIVES
TABLE 124.    IPSOFT INC.: COMPANY SNAPSHOT
TABLE 125.    IPSOFT INC.: PRODUCT PORTFOLIO
TABLE 126.    MICROSTRATEGY INCORPORATED: KEY EXECUTIVES
TABLE 127.    MICROSTRATEGY INCORPORATED: COMPANY SNAPSHOT
TABLE 128.    MICROSTRATEGY INCORPORATED: PRODUCT PORTFOLIO
TABLE 129.    NVIDIA CORPORATION: KEY EXECUTIVES
TABLE 130.    NVIDIA CORPORATION: COMPANY SNAPSHOT
TABLE 131.    NVIDIA CORPORATION: OPERATING SEGMENTS
TABLE 132.    NVIDIA CORPORATION: PRODUCT PORTFOLIO
TABLE 133.    SAP SE: KEY EXECUTIVES
TABLE 134.    SAP SE: COMPANY SNAPSHOT
TABLE 135.    SAP SE: OPERATING SEGMENTS
TABLE 136.    SAP SE: PRODUCT PORTFOLIO
TABLE 137.    VERINT SYSTEMS INC.: KEY EXECUTIVES
TABLE 138.    VERINT SYSTEMS INC.: COMPANY SNAPSHOT
TABLE 139.    VERINT SYSTEMS INC: OPERATING SEGMENTS
TABLE 140.    VERINT SYSTEMS INC.: PRODUCT PORTFOLIO
TABLE 141.    WIPRO LIMITED: COMPANY SNAPSHOT
TABLE 142.    WIPRO LIMITED: OPERATING SEGMENTS
TABLE 143.    WIPRO LIMITED: PRODUCT PORTFOLIO

LIST OF FIGURES

FIGURE 01.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2018–2026
FIGURE 02.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET: KEY PLAYERS
FIGURE 03.    TOP INVESTMENT POCKETS
FIGURE 04.    MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 05.    HIGH BARGAINING POWER OF BUYERS
FIGURE 06.    LOW THREAT OF SUBSTITUTES
FIGURE 07.    HIGH THREAT OF NEW ENTRANTS
FIGURE 08.    HIGH COMPETITIVE RIVALRY
FIGURE 09.    KEY PLAYERS POSITIONING, 2018
FIGURE 10.    ENTERPRISE ARTIFICIAL INTELLIGENCE (AI): DRIVERS, RESTRAINTS, AND OPPORTUNITIES
FIGURE 11.    MARKET EVOLUTION/INDUSTRY ROADMAP
FIGURE 12.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET REVENUE, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
FIGURE 13.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR CLOUD, BY COUNTRY,  2018 & 2026(%)
FIGURE 14.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR ON-PREMISE, BY COUNTRY, 2018 & 2026(%)
FIGURE 15.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
FIGURE 16.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR MACHINE LEARNING, BY COUNTRY,  2018 & 2026(%)
FIGURE 17.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR NATURAL LANGUAGE PROCESSING, BY COUNTRY, 2018 & 2026(%)
FIGURE 18.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR IMAGE PROCESSING, BY COUNTRY,  2018 & 2026(%)
FIGURE 19.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR SPEECH RECOGNITION, BY COUNTRY, 2018 & 2026(%)
FIGURE 20.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
FIGURE 21.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR LARGE ENTERPRISES, BY COUNTRY, 2018 & 2026(%)
FIGURE 22.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR SMALL AND MEDIUM ENTERPRISES (SMES), BY COUNTRY, 2018 & 2026(%)
FIGURE 23.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
FIGURE 24.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR MEDIA & ADVERTISING, BY COUNTRY, 2018 & 2026(%)
FIGURE 25.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR BFSI, BY COUNTRY, 2018 & 2026(%)
FIGURE 26.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR IT & TELECOM, BY COUNTRY, 2018 & 2026(%)
FIGURE 27.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR RETAIL, BY COUNTRY, 2018 & 2026(%)
FIGURE 28.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR HEALTHCARE, BY COUNTRY, 2018 & 2026(%)
FIGURE 29.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR AUTOMOTIVE & TRANSPORTATION, BY COUNTRY, 2018 & 2026(%)
FIGURE 30.    GLOBAL ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE FOR OTHERS, BY COUNTRY, 2018 & 2026(%)
FIGURE 31.    U.S. ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 32.    CANADA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 33.    UK ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 34.    GERMANY ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 35.    FRANCE ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 36.    ITALY ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 37.    REST OF EUROPE ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 38.    CHINA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 39.    JAPAN ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 40.    INDIA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 41.    SOUTH KOREA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 42.    REST OF ASIA-PACIFIC ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 43.    LATIN AMERICA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 44.    MIDDLE EAST ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 45.    AFRICA ENTERPRISE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 46.    COMPETITIVE DASHBOARD
FIGURE 47.    COMPETITIVE DASHBOARD
FIGURE 48.    COMPETITIVE HEATMAP OF KEY PLAYERS
FIGURE 49.    TOP WINNING STRATEGIES, BY YEAR, 2016-2019
FIGURE 50.    TOP WINNING STRATEGIES, BY DEVELOPMENT, 2016-2019
FIGURE 51.    TOP WINNING STRATEGIES, BY COMPANY, 2016-2019
FIGURE 52.    R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 53.    ALPHABET INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 54.    ALPHABET INC.: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 55.    ALPHABET INC.: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 56.    R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 57.    APPLE INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 58.    APPLE INC.: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 59.    AMAZON.COM, INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 60.    AMAZON.COM, INC.: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 61.    AMAZON.COM, INC.: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 62.    R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 63.    INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 64.    INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 65.    INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 66.    R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 67.    MICROSTRATEGY INCORPORATED: REVENUE, 2016–2018 ($MILLION)
FIGURE 68.    MICROSTRATEGY INCORPORATED: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 69.    R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 70.    NVIDIA CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 71.    NVIDIA CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 72.    NVIDIA CORPORATION: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 73.    R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 74.    SAP SE: REVENUE, 2016–2018 ($MILLION)
FIGURE 75.    SAP SE: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 76.    SAP SE: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 77.    R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 78.    VERINT SYSTEMS INC: REVENUE, 2017–2019 ($MILLION)
FIGURE 79.    VERINT SYSTEMS INC: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 80.    VERINT SYSTEMS INC: REVENUE SHARE BY GEOGRAPHY, 2019 (%)
FIGURE 81.    WIPRO LIMITED: KEY EXECUTIVES
FIGURE 82.    R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 83.    WIPRO LIMITED: REVENUE, 2016–2018 ($MILLION)
FIGURE 84.    WIPRO: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 85.    WIPRO LIMITED: REVENUE SHARE BY REGION, 2018 (%)

 
 

According to the insights of the CXOs of leading companies, the global enterprise artificial intelligence (AI) market signifies a promising picture for the technological industry. The current business scenario has witnessed an increase in the adoption of this technology particularly in the developing regions. The companies have been adopting innovative techniques in an effort to provide customers with advanced and innovated product offerings.

So far, machine learning, natural language processing, image processing, and speech recognition are the major technologies of artificial intelligence (AI) in the market. Machine learning is extensively being adopted specifically in the IT & telecom and BFSI sectors. Among the industry verticals, the IT & telecom segment exhibited the highest revenue growth, owing to the increase in adoption in insurance, trend analysis, and fraud detection systems. However, technologies, such as cloud computing, virtual mentors, and drones in farming are some of the factors that drive the market for AI in the other sub-segments.

Furthermore, the enterprise artificial intelligence (AI) market is a consolidated market as players such as Alphabet Inc. (Google Inc.), Apple Inc., Amazon Web Services, Inc., International Business Machines Corporation, NVIDIA Corporation, SAP, and others hold major share globally. However, the market is expected to become fragmented in near future, as many players in the developing countries are evolving in this area and are coming up with enhanced and innovative AI solutions and strategies.

The key players operating in the global enterprise Artificial Intelligence (AI) market include Alphabet Inc. (Google Inc.), Apple Inc., Amazon Web Services, Inc., International Business Machines Corporation, IPsoft Inc., MicroStrategy Incorporated, NVIDIA Corporation, SAP, Verint, and Wipro Limited. The key players have adopted various growth strategies to enhance and develop their product portfolio, strengthen their virtual private server market share, and to increase their market penetration. For instance, in May 2019 Google launched the beta version of their AI Platform as a step to the enhancement of machine learning and artificial intelligence. Also, in February 2019 Apple Inc. acquired Pullstring, an AI voice assistant startup. The startup has worked on publishing and designing the voice-enabled apps earlier. The acquisition has helped Apple in enhancing abilities for its AI, Siri to compete with Amazon’s Alexa and the Google Assistant.

 

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