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Global Machine Learning Market Research Report,Insights, Opportunity, Analysis, Market Shares And Forecast 2017 – 2023

Global Machine Learning Market Research Report,Insights, Opportunity, Analysis, Market Shares And Forecast 2017 – 2023

Machine learning provides the ability to learn without being explicitly programmed, to the computer. It also focuses on prediction making via use of computers. The global machine learning market is expected to rise with the CAGR of about 44% during the forecast period 2016-2023. Proliferation in data generation is one of the major factor which contribute to growth of global machine learning market during forecast period. However, issue regarding privacy and security of sensitive data is one of the major factor restraining growth of global machine learning market during the forecast period.

Geographically, North America accounted for largest market share in terms of revenue in 2016 for global machine learning market and is expected to dominate the market during forecast period. The dominance of North America is witnessed due to maximum adoption of machine learning powered solutions across countries of North America. However, Asia Pacific is expected to be fastest growing region in machine learning market during forecast period. Its fastest growth rate is majorly observed due to high adoption of machine learning among business organizations.

The growth in the global machine learningmarket is also influenced by presence of major players such asOracle Corporation (U.S.), Hewlett Packard Enterprise Development LP (U.S.), Google, Inc. (U.S.), Microsoft Corporation (U.S.), Tibco Software Inc. (U.S.), etc. To gain competitive advantage, the major players adopt various strategies such as mergers & acquisitions, product launch, strategic partnership, collaboration, joint ventures, etc.

Global machine learning market report covers segmentation analysis of verticals, deployment mode, organization size and services. Report further covers segments of verticals which include banking financial services and insurance, healthcare and life sciences, retail, telecommunication, government and defense, manufacturing, energy and utilities and other verticals. Banking Financial Servicesand Insurance(BFSI) accounted for the largest market revenue share for global machine learning market in 2016 and is expected to dominate the market during forecast period due to capability of machine learning to provide fraud and risk management application which is majorly used in BFSI. Deployment modes in machine learning are cloud and on-premises. Organization size in machine learning includes large enterprises and small and medium-sized enterprises. Services in machine learning include professional services and managed services. Managed service is expected to be the fastest growing segment in the global machine learning market during the forecast period due to its ability to help organization to manage its machine learning solutions.

Please note: The delivery time for the electronic version of this report is between 1-3 business days to allow the preparation of an updated version prior to dispatch.


1. INTRODUCTION
1.1. EXECUTIVE SUMMARY
1.2. ESTIMATION METHODOLOGY
2. MARKET OVERVIEW
2.1. GLOBAL MACHINE LEARNING MARKET: EVOLUTION & TRANSITION
2.2. MARKET DEFINITION & SCOPE
2.3. INDUSTRY STRUCTURE
2.4. TOTAL MARKET ANALYSIS
2.4.1. TOP 5 FINDINGS
2.4.2. TOP 5 OPPORTUNITY MARKETS
2.4.3. TOP 5 COMPANIES
2.4.4. TOP 3 COMPETITIVE STRATEGIES
2.5. ESTIMATION ANALYSIS
2.6. STRATEGIC ANALYSIS
2.6.1. INVESTMENT VS. ADOPTION MODEL
2.6.2. 360-DEGREE INDUSTRY ANALYSIS
2.6.3. PORTERS 5 FORCE MODEL
2.6.4. SEE-SAW ANALYSIS
2.6.5. CONSUMER ANALYSIS AND KEY BUYING CRITERIA
2.7. COMPETITIVE ANALYSIS
2.7.1. KEY STRATEGIES & ANALYSIS
2.7.2. MARKET SHARE ANALYSIS & TOP COMPANY ANALYSIS
2.8. STRATEGIC RECOMMENDATIONS & KEY CONCLUSIONS
2.8.1. INVESTMENT OPPORTUNITIES BY REGIONS
2.8.2. OPPORTUNITIES IN EMERGING APPLICATIONS
2.8.3. INVESTMENT OPPORTUNITY IN FASTEST GROWING SEGMENT
3. MARKET DETERMINANTS
3.1. MARKET DRIVERS
3.1.1. PROLIFERATION IN DATA GENERATION
3.1.2. TECHNOLOGICAL ADVANCEMENTS IN MACHINE LEARNING
3.1.3. INCREASING ADOPTION OF CONNECTED DEVICES
3.1.4. INCREASED ADOPTION IN DATA DRIVEN APPLICATION
3.2. MARKET RESTRAINTS
3.2.1. SENSITIVE DATA SECURITY
3.2.2. COMPUTATION LIMITATIONS
3.3. MARKET OPPORTUNITIES
3.3.1. INCREASING DEMAND FOR INTELLIGENT BUSINESS PROCESSES
3.3.2. HIGH DEMAND FROM DIFFERENT END USERS
3.4. MARKET CHALLENGES
3.4.1. ETHICAL IMPLICATIONS OF ALGORITHMS DEPLOYED
3.4.2. PRONE TO HARDWARE AND SOFTWARE MALFUNCTIONS
4. MARKET SEGMENTATION
4.1. GLOBAL MACHINE LEARNING MARKET BY TYPE OF VERTICAL
4.1.1. MARKET DEFINITION AND SCOPE
4.1.2. DECISION SUPPORT DATABASE & ESTIMATION METHODOLOGY
4.1.3. COMPARATIVE ANALYSIS ACROSS MARKET SEGMENTS
4.1.4. OPPORTUNITY MATRIX
4.1.5. MARKET SEGMENTATION
4.1.5.1. GLOBALBANKING, FINANCIAL SERVICES, AND INSURANCEMARKET
4.1.5.1.1. ADOPTION SCENARIO & MARKET DETERMINANTS
4.1.5.1.2. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
4.1.5.1.3. KEY PLAYERS & KEY PRODUCTS
4.1.5.1.4. KEY CONCLUSIONS
4.1.5.2. GLOBAL HEALTHCARE AND LIFE SCIENCESMARKET
4.1.5.2.1. ADOPTION SCENARIO & MARKET DETERMINANTS
4.1.5.2.2. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
4.1.5.2.3. KEY PLAYERS & KEY PRODUCTS
4.1.5.2.4. KEY CONCLUSIONS
4.1.5.3. GLOBAL RETAILMARKET
4.1.5.3.1. ADOPTION SCENARIO & MARKET DETERMINANTS
4.1.5.3.2. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
4.1.5.3.3. KEY PLAYERS & KEY PRODUCTS
4.1.5.3.4. KEY CONCLUSIONS
4.1.5.4. GLOBAL TELECOMMUNICATIONMARKET
4.1.5.4.1. ADOPTION SCENARIO & MARKET DETERMINANTS
4.1.5.4.2. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
4.1.5.4.3. KEY PLAYERS & KEY PRODUCTS
4.1.5.4.4. KEY CONCLUSIONS
4.1.5.5. GLOBALGOVERNMENT AND DEFENSEMARKET
4.1.5.5.1. ADOPTION SCENARIO & MARKET DETERMINANTS
4.1.5.5.2. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
4.1.5.5.3. KEY PLAYERS & KEY PRODUCTS
4.1.5.5.4. KEY CONCLUSIONS
4.1.5.6. GLOBALMANUFACTURING MARKET
4.1.5.6.1. ADOPTION SCENARIO & MARKET DETERMINANTS
4.1.5.6.2. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
4.1.5.6.3. KEY PLAYERS & KEY PRODUCTS
4.1.5.6.4. KEY CONCLUSIONS
4.1.5.7. GLOBALENERGY AND UTILITIES MARKET
4.1.5.7.1. ADOPTION SCENARIO & MARKET DETERMINANTS
4.1.5.7.2. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
4.1.5.7.3. KEY PLAYERS & KEY PRODUCTS
4.1.5.7.4. KEY CONCLUSIONS
4.1.5.8. GLOBALOTHER VERTICALSMARKET
4.1.5.8.1. ADOPTION SCENARIO & MARKET DETERMINANTS
4.1.5.8.2. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
4.1.5.8.3. KEY PLAYERS & KEY PRODUCTS
4.1.5.8.4. KEY CONCLUSIONS
4.2. GLOBAL MACHINE LEARNING MARKET BY DEPLOYMENT MODE
4.2.1. MARKET DEFINITION AND SCOPE
4.2.2. DECISION SUPPORT DATABASE & ESTIMATION METHODOLOGY
4.2.3. COMPARATIVE ANALYSIS ACROSS MARKET SEGMENTS
4.2.4. OPPORTUNITY MATRIX
4.2.5. MARKET SEGMENTATION
4.2.5.1. GLOBALCLOUD MARKET
4.2.5.1.1. ADOPTION SCENARIO & MARKET DETERMINANTS
4.2.5.1.2. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
4.2.5.1.3. KEY PLAYERS & KEY PRODUCTS
4.2.5.1.4. KEY CONCLUSIONS
4.2.5.2. GLOBALON-PREMISESMARKET
4.2.5.2.1. ADOPTION SCENARIO & MARKET DETERMINANTS
4.2.5.2.2. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
4.2.5.2.3. KEY PLAYERS & KEY PRODUCTS
4.2.5.2.4. KEY CONCLUSIONS
4.3. GLOBAL MACHINE LEARNING MARKET BY ORGANIZATION SIZE
4.3.1. MARKET DEFINITION AND SCOPE
4.3.2. DECISION SUPPORT DATABASE & ESTIMATION METHODOLOGY
4.3.3. COMPARATIVE ANALYSIS ACROSS MARKET SEGMENTS
4.3.4. OPPORTUNITY MATRIX
4.3.5. MARKET SEGMENTATION
4.3.5.1. GLOBALLARGE ENTERPRISES MARKET
4.3.5.1.1. ADOPTION SCENARIO & MARKET DETERMINANTS
4.3.5.1.2. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
4.3.5.1.3. KEY PLAYERS & KEY PRODUCTS
4.3.5.1.4. KEY CONCLUSIONS
4.3.5.2. GLOBALSMALL AND MEDIUM-SIZED ENTERPRISESMARKET
4.3.5.2.1. ADOPTION SCENARIO & MARKET DETERMINANTS
4.3.5.2.2. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
4.3.5.2.3. KEY PLAYERS & KEY PRODUCTS
4.3.5.2.4. KEY CONCLUSIONS
4.4. GLOBAL MACHINE LEARNING MARKET BY SERVICE
4.4.1. MARKET DEFINITION AND SCOPE
4.4.2. DECISION SUPPORT DATABASE & ESTIMATION METHODOLOGY
4.4.3. COMPARATIVE ANALYSIS ACROSS MARKET SEGMENTS
4.4.4. OPPORTUNITY MATRIX
4.4.5. MARKET SEGMENTATION
4.4.5.1. GLOBALPROFESSIONAL SERVICES MARKET
4.4.5.1.1. ADOPTION SCENARIO & MARKET DETERMINANTS
4.4.5.1.2. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
4.4.5.1.3. KEY PLAYERS & KEY PRODUCTS
4.4.5.1.4. KEY CONCLUSIONS
4.4.5.2. GLOBALMANAGED SERVICESMARKET
4.4.5.2.1. ADOPTION SCENARIO & MARKET DETERMINANTS
4.4.5.2.2. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
4.4.5.2.3. KEY PLAYERS & KEY PRODUCTS
4.4.5.2.4. KEY CONCLUSIONS
5. COMPETITIVE LANDSCAPE
5.1. KEY STRATEGIES
5.1.1. LIST OF MERGERS AND ACQUISITIONS
5.1.2. LIST OF JOINT VENTURES
5.1.3. LIST OF PRODUCT LAUNCHES
5.1.4. LIST OF PARTNERSHIPS
6. GEOGRAPHIC ANALYSIS
6.1. DECISION SUPPORT DATABASE & ESTIMATION METHODOLOGY
6.2. COMPARATIVE ANALYSIS ACROSS MARKET SEGMENTS
6.3. OPPORTUNITY MATRIX
6.4. GLOBAL MACHINE LEARNING MARKET BY REGION 2014-2023 ($ MILLION)
6.4.1. NORTH AMERICA
6.4.1.1. INDUSTRY ANALYSIS 2014-2023 ($ MILLION)
6.4.1.2. TOP COUNTRY ANALYSIS
6.4.1.2.1. U.S.
6.4.1.2.1.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
6.4.1.2.1.2. KEY PLAYERS & KEY PRODUCTS
6.4.1.2.1.3. KEY CONCLUSIONS
6.4.1.2.2. CANADA
6.4.1.2.2.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
6.4.1.2.2.2. KEY PLAYERS & KEY PRODUCTS
6.4.1.2.2.3. KEY CONCLUSIONS
6.4.2. EUROPE
6.4.2.1. INDUSTRY ANALYSIS 2014-2023 ($ MILLION)
6.4.2.2. TOP COUNTRY ANALYSIS
6.4.2.2.1. UK
6.4.2.2.1.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
6.4.2.2.1.2. KEY PLAYERS & KEY PRODUCTS
6.4.2.2.1.3. KEY CONCLUSIONS
6.4.2.2.2. FRANCE
6.4.2.2.2.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
6.4.2.2.2.2. KEY PLAYERS & KEY PRODUCTS
6.4.2.2.2.3. KEY CONCLUSIONS
6.4.2.2.3. GERMANY
6.4.2.2.3.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
6.4.2.2.3.2. KEY PLAYERS & KEY PRODUCTS
6.4.2.2.3.3. KEY CONCLUSIONS
6.4.2.2.4. SPAIN
6.4.2.2.4.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
6.4.2.2.4.2. KEY PLAYERS & KEY PRODUCTS
6.4.2.2.4.3. KEY CONCLUSIONS
6.4.2.2.5. REST OF EUROPE
6.4.2.2.5.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
6.4.2.2.5.2. KEY PLAYERS & KEY PRODUCTS
6.4.2.2.5.3. KEY CONCLUSIONS
6.4.3. ASIA PACIFIC
6.4.3.1. INDUSTRY ANALYSIS 2014-2023 ($ MILLION)
6.4.3.2. TOP COUNTRY ANALYSIS
6.4.3.2.1. CHINA
6.4.3.2.1.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
6.4.3.2.1.2. KEY PLAYERS & KEY PRODUCTS
6.4.3.2.1.3. KEY CONCLUSIONS
6.4.3.2.2. INDIA
6.4.3.2.2.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
6.4.3.2.2.2. KEY PLAYERS & KEY PRODUCTS
6.4.3.2.2.3. KEY CONCLUSIONS
6.4.3.2.3. JAPAN
6.4.3.2.3.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
6.4.3.2.3.2. KEY PLAYERS & KEY PRODUCTS
6.4.3.2.3.3. KEY CONCLUSIONS
6.4.3.2.4. AUSTRALIA
6.4.3.2.4.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
6.4.3.2.4.2. KEY PLAYERS & KEY PRODUCTS
6.4.3.2.4.3. KEY CONCLUSIONS
6.4.3.2.5. REST OF ASIA PACIFIC
6.4.3.2.5.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
6.4.3.2.5.2. KEY PLAYERS & KEY PRODUCTS
6.4.3.2.5.3. KEY CONCLUSIONS
6.4.4. ROW
6.4.4.1. INDUSTRY ANALYSIS 2014-2023 ($ MILLION)
6.4.4.2. TOP COUNTRY ANALYSIS
6.4.4.2.1. LATIN AMERICA
6.4.4.2.1.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
6.4.4.2.1.2. KEY PLAYERS & KEY PRODUCTS
6.4.4.2.1.3. KEY CONCLUSIONS
6.4.4.2.2. MIDDLE EAST & AFRICA
6.4.4.2.2.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)
6.4.4.2.2.2. KEY PLAYERS & KEY PRODUCTS
6.4.4.2.2.3. KEY CONCLUSIONS
7. COMPANY PROFILES
7.1. AMAZON WEB SERVICES INC. (U.S.)
7.1.1. OVERVIEW
7.1.2. PRODUCT PORTFOLIO
7.1.3. STRATEGIC INITIATIVES
7.1.4. SCOT ANALYSIS
7.1.5. STRATEGIC ANALYSIS
7.2. BAIDU, INC. (CHINA)
7.2.1. OVERVIEW
7.2.2. PRODUCT PORTFOLIO
7.2.3. STRATEGIC INITIATIVES
7.2.4. SCOT ANALYSIS
7.2.5. STRATEGIC ANALYSIS
7.3. DELL INC. (U.S.)
7.3.1. OVERVIEW
7.3.2. PRODUCT PORTFOLIO
7.3.3. STRATEGIC INITIATIVES
7.3.4. SCOT ANALYSIS
7.3.5. STRATEGIC ANALYSIS
7.4. FAIR ISAAC CORPORATION (U.S.)
7.4.1. OVERVIEW
7.4.2. PRODUCT PORTFOLIO
7.4.3. STRATEGIC INITIATIVES
7.4.4. SCOT ANALYSIS
7.4.5. STRATEGIC ANALYSIS
7.5. FRACTAL ANALYTICS INC. (U.S.)
7.5.1. OVERVIEW
7.5.2. PRODUCT PORTFOLIO
7.5.3. STRATEGIC INITIATIVES
7.5.4. SCOT ANALYSIS
7.5.5. STRATEGIC ANALYSIS
7.6. GOOGLE, INC. (U.S.)
7.6.1. OVERVIEW
7.6.2. PRODUCT PORTFOLIO
7.6.3. STRATEGIC INITIATIVES
7.6.4. SCOT ANALYSIS
7.6.5. STRATEGIC ANALYSIS
7.7. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP (U.S.)
7.7.1. OVERVIEW
7.7.2. PRODUCT PORTFOLIO
7.7.3. STRATEGIC INITIATIVES
7.7.4. SCOT ANALYSIS
7.7.5. STRATEGIC ANALYSIS
7.8. IBM CORPORATION (U.S.)
7.8.1. OVERVIEW
7.8.2. PRODUCT PORTFOLIO
7.8.3. STRATEGIC INITIATIVES
7.8.4. SCOT ANALYSIS
7.8.5. STRATEGIC ANALYSIS
7.9. INTEL CORPORATION (U.S.)
7.9.1. OVERVIEW
7.9.2. PRODUCT PORTFOLIO
7.9.3. STRATEGIC INITIATIVES
7.9.4. SCOT ANALYSIS
7.9.5. STRATEGIC ANALYSIS
7.10. MICROSOFT CORPORATION (U.S.)
7.10.1. OVERVIEW
7.10.2. PRODUCT PORTFOLIO
7.10.3. STRATEGIC INITIATIVES
7.10.4. SCOT ANALYSIS
7.10.5. STRATEGIC ANALYSIS
7.11. ORACLE CORPORATION (U.S.)
7.11.1. OVERVIEW
7.11.2. PRODUCT PORTFOLIO
7.11.3. STRATEGIC INITIATIVES
7.11.4. SCOT ANALYSIS
7.11.5. STRATEGIC ANALYSIS
7.12. SAP SE (GERMANY)
7.12.1. OVERVIEW
7.12.2. PRODUCT PORTFOLIO
7.12.3. STRATEGIC INITIATIVES
7.12.4. SCOT ANALYSIS
7.12.5. STRATEGIC ANALYSIS
7.13. TERADATA (U.S.)
7.13.1. OVERVIEW
7.13.2. PRODUCT PORTFOLIO
7.13.3. STRATEGIC INITIATIVES
7.13.4. SCOT ANALYSIS
7.13.5. STRATEGIC ANALYSIS
7.14. TIBCO SOFTWARE INC. (U.S.)
7.14.1. OVERVIEW
7.14.2. PRODUCT PORTFOLIO
7.14.3. STRATEGIC INITIATIVES
7.14.4. SCOT ANALYSIS
7.14.5. STRATEGIC ANALYSIS
7.15. TRADEMARKVISION (U.S.)
7.15.1. OVERVIEW
7.15.2. PRODUCT PORTFOLIO
7.15.3. STRATEGIC INITIATIVES
7.15.4. SCOT ANALYSIS
7.15.5. STRATEGIC ANALYSIS
LIST OF TABLES
GLOBAL MACHINE LEARNING MARKET BY VERTICAL2014-2023 ($ MILLION)
GLOBAL BANKING, FINANCIAL SERVICES, AND INSURANCE MARKET BY GEOGRAPHY 2014-2023 ($ MILLION)
GLOBAL HEALTHCARE AND LIFE SCIENCESMARKET BY GEOGRAPHY 2014-2023 ($ MILLION)
GLOBAL RETAILMARKET BY GEOGRAPHY 2014-2023 ($ MILLION)
GLOBALTELECOMMUNICATIONMARKET BY GEOGRAPHY 2014-2023 ($ MILLION)
GLOBAL GOVERNMENT AND DEFENSEMARKET BY GEOGRAPHY 2014-2023 ($ MILLION)
GLOBAL MANUFACTURINGMARKET BY GEOGRAPHY 2014-2023 ($ MILLION)
GLOBAL ENERGY AND UTILITIES MARKET BY GEOGRAPHY 2014-2023 ($ MILLION)
GLOBAL OTHER VERTICALS MARKET BY GEOGRAPHY 2014-2023 ($ MILLION)
GLOBAL MACHINE LEARNING MARKET BY DEPLOYMENT MODE 2014-2023 ($ MILLION)
GLOBAL CLOUDMARKET BY GEOGRAPHY 2014-2023 ($ MILLION)
GLOBAL ON-PREMISESMARKET BY GEOGRAPHY 2014-2023 ($ MILLION)
GLOBAL MACHINE LEARNING MARKET BY ORGANIZATION SIZE2014-2023 ($ MILLION)
GLOBAL LARGE ENTERPRISESMARKET BY GEOGRAPHY 2014-2023 ($ MILLION)
GLOBAL SMALL AND MEDIUM-SIZED ENTERPRISESMARKET BY GEOGRAPHY 2014-2023 ($ MILLION)
GLOBAL MACHINE LEARNING MARKET BY SERVICE2014-2023 ($ MILLION)
GLOBAL PROFESSIONAL SERVICESMARKET BY GEOGRAPHY 2014-2023 ($ MILLION)
GLOBAL MANAGED SERVICESMARKET BY GEOGRAPHY 2014-2023 ($ MILLION)
NORTH AMERICA MACHINE LEARNING MARKET 2014-2023 ($ MILLION)
EUROPE MACHINE LEARNING MARKET 2014-2023 ($ MILLION)
ASIA PACIFIC MACHINE LEARNING MARKET 2014-2023 ($ MILLION)
REST OF THE WORLD MACHINE LEARNING MARKET 2014-2023 ($ MILLION)
LIST OF FIGURES
GLOBAL BANKING, FINANCIAL SERVICES, AND INSURANCE MARKET 2014-2023 ($ MILLION)
GLOBAL HEALTHCARE AND LIFE SCIENCESMARKET 2014-2023 ($ MILLION)
GLOBAL RETAIL MARKET 2014-2023 ($ MILLION)
GLOBALTELECOMMUNICATIONMARKET 2014-2023 ($ MILLION)
GLOBAL GOVERNMENT AND DEFENSEMARKET 2014-2023 ($ MILLION)
GLOBAL MANUFACTURINGMARKET 2014-2023 ($ MILLION)
GLOBAL ENERGY AND UTILITIES MARKET 2014-2023 ($ MILLION)
GLOBAL OTHER VERTICALS MARKET 2014-2023 ($ MILLION)
GLOBAL CLOUDMARKET 2014-2023 ($ MILLION)
GLOBAL ON-PREMISESMARKET 2014-2023 ($ MILLION)
GLOBAL LARGE ENTERPRISESMARKET 2014-2023 ($ MILLION)
GLOBAL SMALL AND MEDIUM-SIZED ENTERPRISESMARKET 2014-2023 ($ MILLION)
GLOBAL PROFESSIONAL SERVICESMARKET 2014-2023 ($ MILLION)
GLOBAL MANAGED SERVICESMARKET 2014-2023 ($ MILLION)
UNITED STATES (U.S.) MACHINE LEARNING MARKET 2014-2023 ($ MILLION)
CANADA MACHINE LEARNING MARKET 2014-2023 ($ MILLION)
UNITED KINGDOM (UK) MACHINE LEARNING MARKET 2014-2023 ($ MILLION)
FRANCE MACHINE LEARNING MARKET 2014-2023 ($ MILLION)
GERMANY MACHINE LEARNING MARKET 2014-2023 ($ MILLION)
SPAIN MACHINE LEARNING MARKET 2014-2023 ($ MILLION)
ROE MACHINE LEARNING MARKET 2014-2023 ($ MILLION)
INDIA MACHINE LEARNING MARKET 2014-2023 ($ MILLION)
CHINA MACHINE LEARNING MARKET 2014-2023 ($ MILLION)
JAPAN MACHINE LEARNING MARKET 2014-2023 ($ MILLION)
AUSTRALIA MACHINE LEARNING MARKET 2014-2023 ($ MILLION)
ROAPAC MACHINE LEARNING MARKET 2014-2023 ($ MILLION)
LATIN AMERICA MACHINE LEARNING MARKET 2014-2023 ($ MILLION)
MENA MACHINE LEARNING MARKET 2014-2023 ($ MILLION)

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