Machine learning as a Service Market By Application (Marketing and Advertising, Fraud Detection and Risk Management, Predictive analytics, Augmented and Virtual reality, Natural Language processing, Computer vision, Security and surveillance, Others), By Organization Size (Large Enterprises, Small and Medium Enterprises), By Component (Solution, Services), By End-Use Industry (Aerospace and Defense, IT and Telecom, Energy and Utilities, Public sector, Manufacturing, BANKING, FINANCIAL SERVICES, and INSURANCE, Healthcare, Retail, Others): Global Opportunity Analysis and Industry Forecast, 2020-2030
Machine learning is designed to incorporate functionalities of artificial intelligence (AI) and cognitive computing involving a series of algorithms and is used to understand the relationship between datasets to obtain a desired output. Machine learning as a service (MLaaS) incorporates a range of services that offer machine learning tools through cloud computing services.
The global machine learning as a service market report covers various parameters of the machine learning industry. The market is segmented based on component, organization size, end-use industry, application, and geography. The component segment is bifurcated into software and services. Based on organization size, it is divided into large enterprises and small & medium enterprises. The application segment is categorized into marketing & advertising, fraud detection & risk management, predictive analytics, augmented & virtual reality, natural language processing, computer vision, security & surveillance, and others. Based on end-use industry, it is classified into aerospace & defense, IT & telecom, energy & utilities, public sector, manufacturing, BFSI, healthcare, retail, and others.
This report features information on machine learning services offered by key vendors. Based on region, the global machine learning as a service market is segmented across North America, Europe, Asia-Pacific, and LAMEA. Further, the report also highlights the altered strategies of key market players to improve the market share and sustain competition.
Key players operating in the market include Google Inc., SAS Institute Inc., FICO, Hewlett Packard Enterprise, Yottamine Analytics, Amazon Web Services, BigML, Inc., Microsoft Corporation, Predictron Labs Ltd., and IBM Corporation.
KEY BENEFITS FOR STAKEHOLDERS
The study provides an in-depth analysis of the machine learning as a service market along with current trends and future estimations to elucidate imminent investment pockets.
Information about key drivers, restrains, and opportunities and their impact analysis on the market size is provided in the report.
Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
The quantitative analysis of machine learning as a service market for the period 2021–2030 is provided to determine the market potential.
Key Market Segments
By BY APPLICATION
Computer vision
Security and surveillance
Others
Marketing and Advertising
Fraud Detection and Risk Management
Predictive analytics
Augmented and Virtual reality
Natural Language processing
By Organization Size
Large Enterprises
Small and Medium Enterprises
By Component
Solution
Services
By End-Use Industry
Aerospace and Defense
IT and Telecom
Energy and Utilities
Public sector
Manufacturing
BANKING, FINANCIAL SERVICES, and INSURANCE
Healthcare
Retail
Others
By Region
North America
U.S.
Canada
Europe
United Kingdom
Germany
France
Italy
Spain
Netherlands
Rest of Europe
Asia-Pacific
China
Japan
India
Australia
South Korea
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa
Key Market Players
GOOGLE INC
SAS INSTITUTE INC
FICO
HEWLETT PACKARD ENTERPRISE
YOTTAMINE ANALYTICS
AMAZON WEB SERVICES
BIGML, INC
MICROSOFT CORPORATION
PREDICTRON LABS LTD
IBM CORPORATION
- CHAPTER 1:INTRODUCTION
- 1.1.Report description
- 1.2.Key market segments
- 1.3.Key benefits to the stakeholders
- 1.4.Research Methodology
- 1.4.1.Secondary research
- 1.4.2.Primary research
- 1.4.3.Analyst tools and models
- CHAPTER 2:EXECUTIVE SUMMARY
- 2.1.Key findings of the study
- 2.2.CXO Perspective
- CHAPTER 3:MARKET OVERVIEW
- 3.1.Market definition and scope
- 3.2.Key findings
- 3.2.1.Top investment pockets
- 3.3.Porter’s five forces analysis
- 3.4.Top player positioning
- 3.5.Market dynamics
- 3.5.1.Drivers
- 3.5.2.Restraints
- 3.5.3.Opportunities
- 3.6.COVID-19 Impact Analysis on the market
- 3.7.Key Regulation Analysis
- 3.8.Patent Landscape
- CHAPTER 4: MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION
- 4.1 Overview
- 4.1.1 Market size and forecast
- 4.2 Marketing and Advertising
- 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 Fraud Detection and Risk Management
- 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
- 4.4 Predictive analytics
- 4.4.1 Key market trends, growth factors and opportunities
- 4.4.2 Market size and forecast, by region
- 4.4.3 Market analysis by country
- 4.5 Augmented and Virtual reality
- 4.5.1 Key market trends, growth factors and opportunities
- 4.5.2 Market size and forecast, by region
- 4.5.3 Market analysis by country
- 4.6 Natural Language processing
- 4.6.1 Key market trends, growth factors and opportunities
- 4.6.2 Market size and forecast, by region
- 4.6.3 Market analysis by country
- 4.7 Computer vision
- 4.7.1 Key market trends, growth factors and opportunities
- 4.7.2 Market size and forecast, by region
- 4.7.3 Market analysis by country
- 4.8 Security and surveillance
- 4.8.1 Key market trends, growth factors and opportunities
- 4.8.2 Market size and forecast, by region
- 4.8.3 Market analysis by country
- 4.9 Others
- 4.9.1 Key market trends, growth factors and opportunities
- 4.9.2 Market size and forecast, by region
- 4.9.3 Market analysis by country
- CHAPTER 5: MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE
- 5.1 Overview
- 5.1.1 Market size and forecast
- 5.2 Large Enterprises
- 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 Small and Medium Enterprises
- 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
- CHAPTER 6: MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT
- 6.1 Overview
- 6.1.1 Market size and forecast
- 6.2 Solution
- 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 Services
- 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: MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY
- 7.1 Overview
- 7.1.1 Market size and forecast
- 7.2 Aerospace and Defense
- 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 IT and Telecom
- 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 Energy and Utilities
- 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 Public sector
- 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 Manufacturing
- 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 BANKING, FINANCIAL SERVICES, and INSURANCE
- 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 Healthcare
- 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
- 7.9 Retail
- 7.9.1 Key market trends, growth factors and opportunities
- 7.9.2 Market size and forecast, by region
- 7.9.3 Market analysis by country
- 8.0 Others
- 8.0.1 Key market trends, growth factors and opportunities
- 8.0.2 Market size and forecast, by region
- 8.0.3 Market analysis by country
- CHAPTER 8: MACHINE LEARNING AS A SERVICE MARKET, BY REGION
- 8.1 Overview
- 8.1.1 Market size and forecast
- 8.2 North America
- 8.2.1 Key trends and opportunities
- 8.2.2 North America Market size and forecast, by Application
- 8.2.3 North America Market size and forecast, by Organization Size
- 8.2.4 North America Market size and forecast, by Component
- 8.2.5 North America Market size and forecast, by End-Use Industry
- 8.2.6 North America Market size and forecast, by country
- 8.2.6.1 U.S.
- 8.2.6.1.1 Market size and forecast, by Application
- 8.2.6.1.2 Market size and forecast, by Organization Size
- 8.2.6.1.3 Market size and forecast, by Component
- 8.2.6.1.4 Market size and forecast, by End-Use Industry
- 8.2.6.2 Canada
- 8.2.6.2.1 Market size and forecast, by Application
- 8.2.6.2.2 Market size and forecast, by Organization Size
- 8.2.6.2.3 Market size and forecast, by Component
- 8.2.6.2.4 Market size and forecast, by End-Use Industry
- 8.3 Europe
- 8.3.1 Key trends and opportunities
- 8.3.2 Europe Market size and forecast, by Application
- 8.3.3 Europe Market size and forecast, by Organization Size
- 8.3.4 Europe Market size and forecast, by Component
- 8.3.5 Europe Market size and forecast, by End-Use Industry
- 8.3.6 Europe Market size and forecast, by country
- 8.3.6.1 United Kingdom
- 8.3.6.1.1 Market size and forecast, by Application
- 8.3.6.1.2 Market size and forecast, by Organization Size
- 8.3.6.1.3 Market size and forecast, by Component
- 8.3.6.1.4 Market size and forecast, by End-Use Industry
- 8.3.6.2 Germany
- 8.3.6.2.1 Market size and forecast, by Application
- 8.3.6.2.2 Market size and forecast, by Organization Size
- 8.3.6.2.3 Market size and forecast, by Component
- 8.3.6.2.4 Market size and forecast, by End-Use Industry
- 8.3.6.3 France
- 8.3.6.3.1 Market size and forecast, by Application
- 8.3.6.3.2 Market size and forecast, by Organization Size
- 8.3.6.3.3 Market size and forecast, by Component
- 8.3.6.3.4 Market size and forecast, by End-Use Industry
- 8.3.6.4 Italy
- 8.3.6.4.1 Market size and forecast, by Application
- 8.3.6.4.2 Market size and forecast, by Organization Size
- 8.3.6.4.3 Market size and forecast, by Component
- 8.3.6.4.4 Market size and forecast, by End-Use Industry
- 8.3.6.5 Spain
- 8.3.6.5.1 Market size and forecast, by Application
- 8.3.6.5.2 Market size and forecast, by Organization Size
- 8.3.6.5.3 Market size and forecast, by Component
- 8.3.6.5.4 Market size and forecast, by End-Use Industry
- 8.3.6.6 Netherlands
- 8.3.6.6.1 Market size and forecast, by Application
- 8.3.6.6.2 Market size and forecast, by Organization Size
- 8.3.6.6.3 Market size and forecast, by Component
- 8.3.6.6.4 Market size and forecast, by End-Use Industry
- 8.3.6.7 Rest of Europe
- 8.3.6.7.1 Market size and forecast, by Application
- 8.3.6.7.2 Market size and forecast, by Organization Size
- 8.3.6.7.3 Market size and forecast, by Component
- 8.3.6.7.4 Market size and forecast, by End-Use Industry
- 8.4 Asia-Pacific
- 8.4.1 Key trends and opportunities
- 8.4.2 Asia-Pacific Market size and forecast, by Application
- 8.4.3 Asia-Pacific Market size and forecast, by Organization Size
- 8.4.4 Asia-Pacific Market size and forecast, by Component
- 8.4.5 Asia-Pacific Market size and forecast, by End-Use Industry
- 8.4.6 Asia-Pacific Market size and forecast, by country
- 8.4.6.1 China
- 8.4.6.1.1 Market size and forecast, by Application
- 8.4.6.1.2 Market size and forecast, by Organization Size
- 8.4.6.1.3 Market size and forecast, by Component
- 8.4.6.1.4 Market size and forecast, by End-Use Industry
- 8.4.6.2 Japan
- 8.4.6.2.1 Market size and forecast, by Application
- 8.4.6.2.2 Market size and forecast, by Organization Size
- 8.4.6.2.3 Market size and forecast, by Component
- 8.4.6.2.4 Market size and forecast, by End-Use Industry
- 8.4.6.3 India
- 8.4.6.3.1 Market size and forecast, by Application
- 8.4.6.3.2 Market size and forecast, by Organization Size
- 8.4.6.3.3 Market size and forecast, by Component
- 8.4.6.3.4 Market size and forecast, by End-Use Industry
- 8.4.6.4 Australia
- 8.4.6.4.1 Market size and forecast, by Application
- 8.4.6.4.2 Market size and forecast, by Organization Size
- 8.4.6.4.3 Market size and forecast, by Component
- 8.4.6.4.4 Market size and forecast, by End-Use Industry
- 8.4.6.5 South Korea
- 8.4.6.5.1 Market size and forecast, by Application
- 8.4.6.5.2 Market size and forecast, by Organization Size
- 8.4.6.5.3 Market size and forecast, by Component
- 8.4.6.5.4 Market size and forecast, by End-Use Industry
- 8.4.6.6 Rest of Asia-Pacific
- 8.4.6.6.1 Market size and forecast, by Application
- 8.4.6.6.2 Market size and forecast, by Organization Size
- 8.4.6.6.3 Market size and forecast, by Component
- 8.4.6.6.4 Market size and forecast, by End-Use Industry
- 8.5 LAMEA
- 8.5.1 Key trends and opportunities
- 8.5.2 LAMEA Market size and forecast, by Application
- 8.5.3 LAMEA Market size and forecast, by Organization Size
- 8.5.4 LAMEA Market size and forecast, by Component
- 8.5.5 LAMEA Market size and forecast, by End-Use Industry
- 8.5.6 LAMEA Market size and forecast, by country
- 8.5.6.1 Latin America
- 8.5.6.1.1 Market size and forecast, by Application
- 8.5.6.1.2 Market size and forecast, by Organization Size
- 8.5.6.1.3 Market size and forecast, by Component
- 8.5.6.1.4 Market size and forecast, by End-Use Industry
- 8.5.6.2 Middle East
- 8.5.6.2.1 Market size and forecast, by Application
- 8.5.6.2.2 Market size and forecast, by Organization Size
- 8.5.6.2.3 Market size and forecast, by Component
- 8.5.6.2.4 Market size and forecast, by End-Use Industry
- 8.5.6.3 Africa
- 8.5.6.3.1 Market size and forecast, by Application
- 8.5.6.3.2 Market size and forecast, by Organization Size
- 8.5.6.3.3 Market size and forecast, by Component
- 8.5.6.3.4 Market size and forecast, by End-Use Industry
- CHAPTER 9: COMPANY LANDSCAPE
- 9.1. Introduction
- 9.2. Top winning strategies
- 9.3. Product Mapping of Top 10 Player
- 9.4. Competitive Dashboard
- 9.5. Competitive Heatmap
- 9.6. Key developments
- CHAPTER 10: COMPANY PROFILES
- 10.1 GOOGLE INC
- 10.1.1 Company overview
- 10.1.2 Company snapshot
- 10.1.3 Operating business segments
- 10.1.4 Product portfolio
- 10.1.5 Business performance
- 10.1.6 Key strategic moves and developments
- 10.2 SAS INSTITUTE INC
- 10.2.1 Company overview
- 10.2.2 Company snapshot
- 10.2.3 Operating business segments
- 10.2.4 Product portfolio
- 10.2.5 Business performance
- 10.2.6 Key strategic moves and developments
- 10.3 FICO
- 10.3.1 Company overview
- 10.3.2 Company snapshot
- 10.3.3 Operating business segments
- 10.3.4 Product portfolio
- 10.3.5 Business performance
- 10.3.6 Key strategic moves and developments
- 10.4 HEWLETT PACKARD ENTERPRISE
- 10.4.1 Company overview
- 10.4.2 Company snapshot
- 10.4.3 Operating business segments
- 10.4.4 Product portfolio
- 10.4.5 Business performance
- 10.4.6 Key strategic moves and developments
- 10.5 YOTTAMINE ANALYTICS
- 10.5.1 Company overview
- 10.5.2 Company snapshot
- 10.5.3 Operating business segments
- 10.5.4 Product portfolio
- 10.5.5 Business performance
- 10.5.6 Key strategic moves and developments
- 10.6 AMAZON WEB SERVICES
- 10.6.1 Company overview
- 10.6.2 Company snapshot
- 10.6.3 Operating business segments
- 10.6.4 Product portfolio
- 10.6.5 Business performance
- 10.6.6 Key strategic moves and developments
- 10.7 BIGML, INC
- 10.7.1 Company overview
- 10.7.2 Company snapshot
- 10.7.3 Operating business segments
- 10.7.4 Product portfolio
- 10.7.5 Business performance
- 10.7.6 Key strategic moves and developments
- 10.8 MICROSOFT CORPORATION
- 10.8.1 Company overview
- 10.8.2 Company snapshot
- 10.8.3 Operating business segments
- 10.8.4 Product portfolio
- 10.8.5 Business performance
- 10.8.6 Key strategic moves and developments
- 10.9 PREDICTRON LABS LTD
- 10.9.1 Company overview
- 10.9.2 Company snapshot
- 10.9.3 Operating business segments
- 10.9.4 Product portfolio
- 10.9.5 Business performance
- 10.9.6 Key strategic moves and developments
- 10.10 IBM CORPORATION
- 10.10.1 Company overview
- 10.10.2 Company snapshot
- 10.10.3 Operating business segments
- 10.10.4 Product portfolio
- 10.10.5 Business performance
- 10.10.6 Key strategic moves and developments
- LIST OF TABLES
- TABLE 1. GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 2. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR MARKETING AND ADVERTISING, BY REGION, 2020-2030 ($BILLION)
- TABLE 3. MACHINE LEARNING AS A SERVICE MARKET FOR MARKETING AND ADVERTISING, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 4. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR FRAUD DETECTION AND RISK MANAGEMENT, BY REGION, 2020-2030 ($BILLION)
- TABLE 5. MACHINE LEARNING AS A SERVICE MARKET FOR FRAUD DETECTION AND RISK MANAGEMENT, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 6. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR PREDICTIVE ANALYTICS, BY REGION, 2020-2030 ($BILLION)
- TABLE 7. MACHINE LEARNING AS A SERVICE MARKET FOR PREDICTIVE ANALYTICS, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 8. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR AUGMENTED AND VIRTUAL REALITY, BY REGION, 2020-2030 ($BILLION)
- TABLE 9. MACHINE LEARNING AS A SERVICE MARKET FOR AUGMENTED AND VIRTUAL REALITY, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 10. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR NATURAL LANGUAGE PROCESSING, BY REGION, 2020-2030 ($BILLION)
- TABLE 11. MACHINE LEARNING AS A SERVICE MARKET FOR NATURAL LANGUAGE PROCESSING, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 12. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR COMPUTER VISION, BY REGION, 2020-2030 ($BILLION)
- TABLE 13. MACHINE LEARNING AS A SERVICE MARKET FOR COMPUTER VISION, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 14. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR SECURITY AND SURVEILLANCE, BY REGION, 2020-2030 ($BILLION)
- TABLE 15. MACHINE LEARNING AS A SERVICE MARKET FOR SECURITY AND SURVEILLANCE, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 16. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR OTHERS, BY REGION, 2020-2030 ($BILLION)
- TABLE 17. MACHINE LEARNING AS A SERVICE MARKET FOR OTHERS, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 18. GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 19. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR LARGE ENTERPRISES, BY REGION, 2020-2030 ($BILLION)
- TABLE 20. MACHINE LEARNING AS A SERVICE MARKET FOR LARGE ENTERPRISES, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 21. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR SMALL AND MEDIUM ENTERPRISES, BY REGION, 2020-2030 ($BILLION)
- TABLE 22. MACHINE LEARNING AS A SERVICE MARKET FOR SMALL AND MEDIUM ENTERPRISES, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 23. GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 24. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR SOLUTION, BY REGION, 2020-2030 ($BILLION)
- TABLE 25. MACHINE LEARNING AS A SERVICE MARKET FOR SOLUTION, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 26. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR SERVICES, BY REGION, 2020-2030 ($BILLION)
- TABLE 27. MACHINE LEARNING AS A SERVICE MARKET FOR SERVICES, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 28. GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 29. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR AEROSPACE AND DEFENSE, BY REGION, 2020-2030 ($BILLION)
- TABLE 30. MACHINE LEARNING AS A SERVICE MARKET FOR AEROSPACE AND DEFENSE, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 31. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR IT AND TELECOM, BY REGION, 2020-2030 ($BILLION)
- TABLE 32. MACHINE LEARNING AS A SERVICE MARKET FOR IT AND TELECOM, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 33. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR ENERGY AND UTILITIES, BY REGION, 2020-2030 ($BILLION)
- TABLE 34. MACHINE LEARNING AS A SERVICE MARKET FOR ENERGY AND UTILITIES, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 35. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR PUBLIC SECTOR, BY REGION, 2020-2030 ($BILLION)
- TABLE 36. MACHINE LEARNING AS A SERVICE MARKET FOR PUBLIC SECTOR, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 37. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR MANUFACTURING, BY REGION, 2020-2030 ($BILLION)
- TABLE 38. MACHINE LEARNING AS A SERVICE MARKET FOR MANUFACTURING, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 39. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR BANKING, FINANCIAL SERVICES, AND INSURANCE, BY REGION, 2020-2030 ($BILLION)
- TABLE 40. MACHINE LEARNING AS A SERVICE MARKET FOR BANKING, FINANCIAL SERVICES, AND INSURANCE, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 41. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR HEALTHCARE, BY REGION, 2020-2030 ($BILLION)
- TABLE 42. MACHINE LEARNING AS A SERVICE MARKET FOR HEALTHCARE, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 43. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR RETAIL, BY REGION, 2020-2030 ($BILLION)
- TABLE 44. MACHINE LEARNING AS A SERVICE MARKET FOR RETAIL, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 45. MACHINE LEARNING AS A SERVICE MARKET SIZE, FOR OTHERS, BY REGION, 2020-2030 ($BILLION)
- TABLE 46. MACHINE LEARNING AS A SERVICE MARKET FOR OTHERS, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 47. MACHINE LEARNING AS A SERVICE MARKET, BY REGION, 2020-2030 ($BILLION)
- TABLE 48. NORTH AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 49. NORTH AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 50. NORTH AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 51. NORTH AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 52. NORTH AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 53. U.S. MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 54. U.S. MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 55. U.S. MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 56. U.S. MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 57. CANADA MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 58. CANADA MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 59. CANADA MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 60. CANADA MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 61. EUROPE MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 62. EUROPE MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 63. EUROPE MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 64. EUROPE MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 65. EUROPE MACHINE LEARNING AS A SERVICE MARKET, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 66. UNITED KINGDOM MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 67. UNITED KINGDOM MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 68. UNITED KINGDOM MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 69. UNITED KINGDOM MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 70. GERMANY MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 71. GERMANY MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 72. GERMANY MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 73. GERMANY MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 74. FRANCE MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 75. FRANCE MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 76. FRANCE MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 77. FRANCE MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 78. ITALY MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 79. ITALY MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 80. ITALY MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 81. ITALY MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 82. SPAIN MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 83. SPAIN MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 84. SPAIN MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 85. SPAIN MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 86. NETHERLANDS MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 87. NETHERLANDS MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 88. NETHERLANDS MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 89. NETHERLANDS MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 90. REST OF EUROPE MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 91. REST OF EUROPE MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 92. REST OF EUROPE MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 93. REST OF EUROPE MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 94. ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 95. ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 96. ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 97. ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 98. ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 99. CHINA MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 100. CHINA MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 101. CHINA MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 102. CHINA MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 103. JAPAN MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 104. JAPAN MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 105. JAPAN MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 106. JAPAN MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 107. INDIA MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 108. INDIA MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 109. INDIA MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 110. INDIA MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 111. AUSTRALIA MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 112. AUSTRALIA MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 113. AUSTRALIA MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 114. AUSTRALIA MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 115. SOUTH KOREA MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 116. SOUTH KOREA MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 117. SOUTH KOREA MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 118. SOUTH KOREA MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 119. REST OF ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 120. REST OF ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 121. REST OF ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 122. REST OF ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 123. LAMEA MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 124. LAMEA MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 125. LAMEA MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 126. LAMEA MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 127. LAMEA MACHINE LEARNING AS A SERVICE MARKET, BY COUNTRY, 2020-2030 ($BILLION)
- TABLE 128. LATIN AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 129. LATIN AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 130. LATIN AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 131. LATIN AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 132. MIDDLE EAST MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 133. MIDDLE EAST MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 134. MIDDLE EAST MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 135. MIDDLE EAST MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 136. AFRICA MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION, 2020-2030 ($BILLION)
- TABLE 137. AFRICA MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020-2030 ($BILLION)
- TABLE 138. AFRICA MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT, 2020-2030 ($BILLION)
- TABLE 139. AFRICA MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY, 2020-2030 ($BILLION)
- TABLE 140.GOOGLE INC: COMPANY SNAPSHOT
- TABLE 141.GOOGLE INC: OPERATING SEGMENTS
- TABLE 142.GOOGLE INC: PRODUCT PORTFOLIO
- TABLE 143.GOOGLE INC: NET SALES,
- TABLE 144.GOOGLE INC: KEY STRATERGIES
- TABLE 145.SAS INSTITUTE INC: COMPANY SNAPSHOT
- TABLE 146.SAS INSTITUTE INC: OPERATING SEGMENTS
- TABLE 147.SAS INSTITUTE INC: PRODUCT PORTFOLIO
- TABLE 148.SAS INSTITUTE INC: NET SALES,
- TABLE 149.SAS INSTITUTE INC: KEY STRATERGIES
- TABLE 150.FICO: COMPANY SNAPSHOT
- TABLE 151.FICO: OPERATING SEGMENTS
- TABLE 152.FICO: PRODUCT PORTFOLIO
- TABLE 153.FICO: NET SALES,
- TABLE 154.FICO: KEY STRATERGIES
- TABLE 155.HEWLETT PACKARD ENTERPRISE: COMPANY SNAPSHOT
- TABLE 156.HEWLETT PACKARD ENTERPRISE: OPERATING SEGMENTS
- TABLE 157.HEWLETT PACKARD ENTERPRISE: PRODUCT PORTFOLIO
- TABLE 158.HEWLETT PACKARD ENTERPRISE: NET SALES,
- TABLE 159.HEWLETT PACKARD ENTERPRISE: KEY STRATERGIES
- TABLE 160.YOTTAMINE ANALYTICS: COMPANY SNAPSHOT
- TABLE 161.YOTTAMINE ANALYTICS: OPERATING SEGMENTS
- TABLE 162.YOTTAMINE ANALYTICS: PRODUCT PORTFOLIO
- TABLE 163.YOTTAMINE ANALYTICS: NET SALES,
- TABLE 164.YOTTAMINE ANALYTICS: KEY STRATERGIES
- TABLE 165.AMAZON WEB SERVICES: COMPANY SNAPSHOT
- TABLE 166.AMAZON WEB SERVICES: OPERATING SEGMENTS
- TABLE 167.AMAZON WEB SERVICES: PRODUCT PORTFOLIO
- TABLE 168.AMAZON WEB SERVICES: NET SALES,
- TABLE 169.AMAZON WEB SERVICES: KEY STRATERGIES
- TABLE 170.BIGML, INC: COMPANY SNAPSHOT
- TABLE 171.BIGML, INC: OPERATING SEGMENTS
- TABLE 172.BIGML, INC: PRODUCT PORTFOLIO
- TABLE 173.BIGML, INC: NET SALES,
- TABLE 174.BIGML, INC: KEY STRATERGIES
- TABLE 175.MICROSOFT CORPORATION: COMPANY SNAPSHOT
- TABLE 176.MICROSOFT CORPORATION: OPERATING SEGMENTS
- TABLE 177.MICROSOFT CORPORATION: PRODUCT PORTFOLIO
- TABLE 178.MICROSOFT CORPORATION: NET SALES,
- TABLE 179.MICROSOFT CORPORATION: KEY STRATERGIES
- TABLE 180.PREDICTRON LABS LTD: COMPANY SNAPSHOT
- TABLE 181.PREDICTRON LABS LTD: OPERATING SEGMENTS
- TABLE 182.PREDICTRON LABS LTD: PRODUCT PORTFOLIO
- TABLE 183.PREDICTRON LABS LTD: NET SALES,
- TABLE 184.PREDICTRON LABS LTD: KEY STRATERGIES
- TABLE 185.IBM CORPORATION: COMPANY SNAPSHOT
- TABLE 186.IBM CORPORATION: OPERATING SEGMENTS
- TABLE 187.IBM CORPORATION: PRODUCT PORTFOLIO
- TABLE 188.IBM CORPORATION: NET SALES,
- TABLE 189.IBM CORPORATION: KEY STRATERGIES
- LIST OF FIGURES
- FIGURE 1.MACHINE LEARNING AS A SERVICE MARKET SEGMENTATION
- FIGURE 2.MACHINE LEARNING AS A SERVICE MARKET,2020-2030
- FIGURE 3.MACHINE LEARNING AS A SERVICE MARKET,2020-2030
- FIGURE 4. TOP INVESTMENT POCKETS, BY REGION
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