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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
Published Date: 2022-04-01
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Report Code: ALLI-Auto-0O169
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Machine Learning as a Service Market by Component Software and Services by Organization Size Large Enterprises and Small amp Medium Enterprises by End Use Industry Aerospace amp Defense IT amp Telecom Energy amp Utilities Public sector Manufacturing BFSI Healthcare Retail and Others and by Application Marketing amp Advertising Fraud Detection amp Risk Management Predictive analytics Augmented amp Virtual reality Natural Language processing Computer vision Security amp surveillance and Others Global Opportunity Analysis and Industry Forecast 2016 2023
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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

Code: ALLI-Auto-0O169
Report
2022-04-01
Pages:300
Allied Market Research
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DESCRIPTION
TABLE OF CONTENT
TABLES & FIGURES

Machine learning as a Service Market Size

According to a new report published by , titled, “Machine learning as a Service Market," The machine learning as a service market was valued at $13.95 billion in 2020, and is estimated to reach $302.66 billion by 2030, growing at a CAGR of 36.2% from 2021 to 2030.

Machine learning as a Service Market

Machine learning as a Service Market

The global machine learning as a service market is influenced by a number of factors, including growth in demand for cloud computing, increase in adoption of analytical solutions, growth of artificial intelligence & cognitive computing market, increased application areas. However, the restraints include dearth of trained professionals.
In 2021, on the basis of component, the service segment dominated the machine learning as a service market, and is expected to maintain its dominance in the upcoming years. This is attributed to factors such as increase in application areas and growth associated with end-use industries among developing economies, which is expected to drive the market growth for machine learning services. Industry players are focused toward implementation of technologically advanced solutions to increase adoption of machine learning services. The use of machine learning services in the healthcare industry for detection of cancer as well as to check ECG, MRI will increase the market in the healthcare sector. Benefits offered by machine learning services such as cost reduction, demand forecasting, real-time data analysis, and growth in adoption of cloud market are expected to unlock major opportunities in the market. For instance, in April 2021, Microsoft Corporation announced an open Dataset for transportation, health & genomics, labor & economics, population & safety, and supplemental & common datasets to improve accuracy of machine learning models with publicly available datasets. This also allows companies to deliver insights at hyperscale using Azure Open Datasets with Azure’s machine learning and data analytics solutions that boosts sales MLaaS of companies.
On the basis of end user industry, the IT & telecom segment is the fastest growing segment of ML as a Service, and is projected to keep its hold on the market in the next years. Moreover, a number of IT & telecom organizations use machine learning as a service to predict the effects of forthcoming promotional strategies and sift through and utilize this refined data to find the most profitable customers. Machine learning used in analytics provides business intelligence to various telecommunication organizations, which helps in increasing their sales, predicting churn rates, improving fraud management, and decreasing operational costs. Rise in adoption of analytics in the telecom industry is to improve its core operations and internal processes to establish trends and to enable future forecasts. The IT and telecom industry has a wide array of growth opportunities, owing to data generated from phone calls, phone applications, social media, and data network. Applications of machine learning, such as real-time data analytics, also provide marketing and sales opportunities, while offering customized customer services. Companies are focused on implementation of machine learning capabilities to gain a competitive edge in the market.
Asia-Pacific is expected to be the fastest-growing regional segment during the forecast period, with the highest CAGR. Industry participants are realizing the importance of providing multi-modal platforms to ensure superior customer service. Growth in penetration of AI applications is expected to be the key trend influencing the market growth in this region. In addition, government organizations have adopted key initiatives to further spur penetration of machine learning and adjacent technologies in this region. North America is the leading region, in terms of technological advancements and adoption. It possesses well-equipped infrastructure and the ability to afford machine learning as a service solutions. Furthermore, rise in investments in the defense sector, along with technological advancements in the telecommunication industry, is expected to drive the market growth during the Machine learning as a Service Market Forecast period. Government regulations regarding data security are expected to continue to be a strong driver for the machine learning services market. Services such as security information and cloud application are expected to drive the market. In addition, strong presence of industry leaders such as Google, IBM, Microsoft, and Amazon Web Services and diversified product offerings have further led to rise in demand for machine learning solutions in this region. Furthermore, growth associated with artificial intelligence and cognitive computing is expected to create lucrative opportunities for market players to leverage varied industry applications such as predictive analytics, natural language processing, computer vision, fraud detection & management, and others.
The current estimation of 2030 is projected to be higher than pre-COVID-19 estimates. The COVID-19 pandemic has had a significant effect on countries' health, financial, and social systems. Individuals can profit from understanding and coping with their mental, psychological, and social well-being if knowledge of individual-level susceptibility factors is accessible. The application of artificial intelligence technology is likely to help combat the COVID-19 pandemic. Several countries are using population surveillance methods to track and trace COVID-19 cases. For example, in South Korea, researchers use surveillance camera footage, geo-location data to track coronavirus patients. Using this data, the data scientists leverage machine intelligence algorithms to predict the location of the next outbreak and inform the responsible authorities, helping to track the disease in real-time. Such active initiatives are likely to surge the demand for machine intelligence solutions in the upcoming period.
KEY FINDINGS OF THE STUDY
On the basis of component, in 2020, the services segment dominated the machine learning as a service market size. However, the software segment is expected to exhibit significant growth during the forecast period.
Depending on end-user industry, the IT & telecom segment generated highest revenue in 2020.
On the basis of organization size, the large enterprises segment generated the highest revenue in 2020. However, the small & medium enterprises segment is expected to exhibit significant growth during the forecast period
On the basis of region, North America dominated the MLaaS market in 2020. However, Asia-Pacific is expected to witness significant growth in the upcoming years.
Some of the key Machine learning as a Service Industry players profiled in the report 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. This study includes Machine Learning as a Service Market share, trends, machine learning as a service market analysis, and future estimations to determine the imminent investment pockets.
 
 
 

Overview

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
IBM CORPORATIO

Scope of Machine learning as a Service Market Report

Report Metric Details
Report Name Machine learning as a Service Market
Accounted market size in 2020 $ 13.95 billion
Forecasted market size in 2030 $ 302.66 billion
CAGR 36.2%
Base Year 2020
Forecasted years 2024 - 2030
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 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 (United States, Canada)
  • Europe (Germany, France, UK, Italy, Russia) Rest of Europe
  • Nordic Countries
  • Asia-Pacific (China, Japan, South Korea)
  • Southeast Asia (India, Australia)
  • Rest of Asia
  • Latin America (Mexico, Brazil)
  • Rest of Latin America
  • Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of MEA)
By Organization Size Large Enterprises, Small and Medium Enterprises
Forecast units USD million in value
Report coverage Revenue and volume forecast, company share, competitive landscape, growth factors and trends

FAQ for this report

How fast is Machine learning as a Service Market growing?

Ans: The Machine learning as a Service Market witnessing a CAGR of 36.2% during the forecast period 2024-2030.

What is the Machine learning as a Service Market size in 2030?

Ans: The Machine learning as a Service Market size in 2030 will be $ 302.66 billion.

Who are the main players in the Machine learning as a Service Market report?

Ans: The main players in the Machine learning as a Service Market are Large Enterprises, Small and Medium Enterprises

What are the Application segmentation covered in the Machine learning as a Service Market report?

Ans: The Applications covered in the Machine learning as a Service Market report are Computer vision, Security and surveillance, Others, Marketing and Advertising, Fraud Detection and Risk Management, Predictive analytics, Augmented and Virtual reality, Natural Language processing

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 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 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 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 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 By Application
8.2.3 North America Market size and forecast, by By Organization Size
8.2.4 North America Market size and forecast, by By Component
8.2.5 North America Market size and forecast, by 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 By Application
8.2.6.1.2 Market size and forecast, by By Organization Size
8.2.6.1.3 Market size and forecast, by By Component
8.2.6.1.4 Market size and forecast, by By End-Use Industry
8.2.6.2 Canada
8.2.6.2.1 Market size and forecast, by By Application
8.2.6.2.2 Market size and forecast, by By Organization Size
8.2.6.2.3 Market size and forecast, by By Component
8.2.6.2.4 Market size and forecast, by By End-Use Industry
8.3 Europe
8.3.1 Key trends and opportunities
8.3.2 Europe Market size and forecast, by By Application
8.3.3 Europe Market size and forecast, by By Organization Size
8.3.4 Europe Market size and forecast, by By Component
8.3.5 Europe Market size and forecast, by 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 By Application
8.3.6.1.2 Market size and forecast, by By Organization Size
8.3.6.1.3 Market size and forecast, by By Component
8.3.6.1.4 Market size and forecast, by By End-Use Industry
8.3.6.2 Germany
8.3.6.2.1 Market size and forecast, by By Application
8.3.6.2.2 Market size and forecast, by By Organization Size
8.3.6.2.3 Market size and forecast, by By Component
8.3.6.2.4 Market size and forecast, by By End-Use Industry
8.3.6.3 France
8.3.6.3.1 Market size and forecast, by By Application
8.3.6.3.2 Market size and forecast, by By Organization Size
8.3.6.3.3 Market size and forecast, by By Component
8.3.6.3.4 Market size and forecast, by By End-Use Industry
8.3.6.4 Italy
8.3.6.4.1 Market size and forecast, by By Application
8.3.6.4.2 Market size and forecast, by By Organization Size
8.3.6.4.3 Market size and forecast, by By Component
8.3.6.4.4 Market size and forecast, by By End-Use Industry
8.3.6.5 Spain
8.3.6.5.1 Market size and forecast, by By Application
8.3.6.5.2 Market size and forecast, by By Organization Size
8.3.6.5.3 Market size and forecast, by By Component
8.3.6.5.4 Market size and forecast, by By End-Use Industry
8.3.6.6 Netherlands
8.3.6.6.1 Market size and forecast, by By Application
8.3.6.6.2 Market size and forecast, by By Organization Size
8.3.6.6.3 Market size and forecast, by By Component
8.3.6.6.4 Market size and forecast, by By End-Use Industry
8.3.6.7 Rest of Europe
8.3.6.7.1 Market size and forecast, by By Application
8.3.6.7.2 Market size and forecast, by By Organization Size
8.3.6.7.3 Market size and forecast, by By Component
8.3.6.7.4 Market size and forecast, by 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 By Application
8.4.3 Asia-Pacific Market size and forecast, by By Organization Size
8.4.4 Asia-Pacific Market size and forecast, by By Component
8.4.5 Asia-Pacific Market size and forecast, by 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 By Application
8.4.6.1.2 Market size and forecast, by By Organization Size
8.4.6.1.3 Market size and forecast, by By Component
8.4.6.1.4 Market size and forecast, by By End-Use Industry
8.4.6.2 Japan
8.4.6.2.1 Market size and forecast, by By Application
8.4.6.2.2 Market size and forecast, by By Organization Size
8.4.6.2.3 Market size and forecast, by By Component
8.4.6.2.4 Market size and forecast, by By End-Use Industry
8.4.6.3 India
8.4.6.3.1 Market size and forecast, by By Application
8.4.6.3.2 Market size and forecast, by By Organization Size
8.4.6.3.3 Market size and forecast, by By Component
8.4.6.3.4 Market size and forecast, by By End-Use Industry
8.4.6.4 Australia
8.4.6.4.1 Market size and forecast, by By Application
8.4.6.4.2 Market size and forecast, by By Organization Size
8.4.6.4.3 Market size and forecast, by By Component
8.4.6.4.4 Market size and forecast, by By End-Use Industry
8.4.6.5 South Korea
8.4.6.5.1 Market size and forecast, by By Application
8.4.6.5.2 Market size and forecast, by By Organization Size
8.4.6.5.3 Market size and forecast, by By Component
8.4.6.5.4 Market size and forecast, by By End-Use Industry
8.4.6.6 Rest of Asia-Pacific
8.4.6.6.1 Market size and forecast, by By Application
8.4.6.6.2 Market size and forecast, by By Organization Size
8.4.6.6.3 Market size and forecast, by By Component
8.4.6.6.4 Market size and forecast, by By End-Use Industry
8.5 LAMEA
8.5.1 Key trends and opportunities
8.5.2 LAMEA Market size and forecast, by By Application
8.5.3 LAMEA Market size and forecast, by By Organization Size
8.5.4 LAMEA Market size and forecast, by By Component
8.5.5 LAMEA Market size and forecast, by 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 By Application
8.5.6.1.2 Market size and forecast, by By Organization Size
8.5.6.1.3 Market size and forecast, by By Component
8.5.6.1.4 Market size and forecast, by By End-Use Industry
8.5.6.2 Middle East
8.5.6.2.1 Market size and forecast, by By Application
8.5.6.2.2 Market size and forecast, by By Organization Size
8.5.6.2.3 Market size and forecast, by By Component
8.5.6.2.4 Market size and forecast, by By End-Use Industry
8.5.6.3 Africa
8.5.6.3.1 Market size and forecast, by By Application
8.5.6.3.2 Market size and forecast, by By Organization Size
8.5.6.3.3 Market size and forecast, by By Component
8.5.6.3.4 Market size and forecast, by 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 development
LIST OF TABLES
TABLE 1. GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY BY APPLICATION, 2020-2030,($BILLION)
TABLE 2. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR MARKETING AND ADVERTISING, BY REGION , 2020-2030,($BILLION)
TABLE 3. MACHINE LEARNING AS A SERVICE MARKET MARKETING AND ADVERTISING BY COUNTRY, 2020-2030,($BILLION)
TABLE 4. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR FRAUD DETECTION AND RISK MANAGEMENT, BY REGION , 2020-2030,($BILLION)
TABLE 5. MACHINE LEARNING AS A SERVICE MARKET FRAUD DETECTION AND RISK MANAGEMENT BY COUNTRY, 2020-2030,($BILLION)
TABLE 6. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR PREDICTIVE ANALYTICS, BY REGION , 2020-2030,($BILLION)
TABLE 7. MACHINE LEARNING AS A SERVICE MARKET PREDICTIVE ANALYTICS BY COUNTRY, 2020-2030,($BILLION)
TABLE 8. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR AUGMENTED AND VIRTUAL REALITY, BY REGION , 2020-2030,($BILLION)
TABLE 9. MACHINE LEARNING AS A SERVICE MARKET AUGMENTED AND VIRTUAL REALITY BY COUNTRY, 2020-2030,($BILLION)
TABLE 10. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR NATURAL LANGUAGE PROCESSING, BY REGION , 2020-2030,($BILLION)
TABLE 11. MACHINE LEARNING AS A SERVICE MARKET NATURAL LANGUAGE PROCESSING BY COUNTRY, 2020-2030,($BILLION)
TABLE 12. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR COMPUTER VISION, BY REGION , 2020-2030,($BILLION)
TABLE 13. MACHINE LEARNING AS A SERVICE MARKET COMPUTER VISION BY COUNTRY, 2020-2030,($BILLION)
TABLE 14. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR SECURITY AND SURVEILLANCE, BY REGION , 2020-2030,($BILLION)
TABLE 15. MACHINE LEARNING AS A SERVICE MARKET SECURITY AND SURVEILLANCE BY COUNTRY, 2020-2030,($BILLION)
TABLE 16. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR OTHERS, BY REGION , 2020-2030,($BILLION)
TABLE 17. MACHINE LEARNING AS A SERVICE MARKET OTHERS BY COUNTRY, 2020-2030,($BILLION)
TABLE 18. GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY BY ORGANIZATION SIZE, 2020-2030,($BILLION)
TABLE 19. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR LARGE ENTERPRISES, BY REGION , 2020-2030,($BILLION)
TABLE 20. MACHINE LEARNING AS A SERVICE MARKET LARGE ENTERPRISES BY COUNTRY, 2020-2030,($BILLION)
TABLE 21. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR SMALL AND MEDIUM ENTERPRISES, BY REGION , 2020-2030,($BILLION)
TABLE 22. MACHINE LEARNING AS A SERVICE MARKET SMALL AND MEDIUM ENTERPRISES BY COUNTRY, 2020-2030,($BILLION)
TABLE 23. GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY BY COMPONENT, 2020-2030,($BILLION)
TABLE 24. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR SOLUTION, BY REGION , 2020-2030,($BILLION)
TABLE 25. MACHINE LEARNING AS A SERVICE MARKET SOLUTION BY COUNTRY, 2020-2030,($BILLION)
TABLE 26. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR SERVICES, BY REGION , 2020-2030,($BILLION)
TABLE 27. MACHINE LEARNING AS A SERVICE MARKET SERVICES BY COUNTRY, 2020-2030,($BILLION)
TABLE 28. GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY BY END-USE INDUSTRY, 2020-2030,($BILLION)
TABLE 29. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR AEROSPACE AND DEFENSE, BY REGION , 2020-2030,($BILLION)
TABLE 30. MACHINE LEARNING AS A SERVICE MARKET AEROSPACE AND DEFENSE BY COUNTRY, 2020-2030,($BILLION)
TABLE 31. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR IT AND TELECOM, BY REGION , 2020-2030,($BILLION)
TABLE 32. MACHINE LEARNING AS A SERVICE MARKET IT AND TELECOM BY COUNTRY, 2020-2030,($BILLION)
TABLE 33. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR ENERGY AND UTILITIES, BY REGION , 2020-2030,($BILLION)
TABLE 34. MACHINE LEARNING AS A SERVICE MARKET ENERGY AND UTILITIES BY COUNTRY, 2020-2030,($BILLION)
TABLE 35. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR PUBLIC SECTOR, BY REGION , 2020-2030,($BILLION)
TABLE 36. MACHINE LEARNING AS A SERVICE MARKET PUBLIC SECTOR BY COUNTRY, 2020-2030,($BILLION)
TABLE 37. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR MANUFACTURING, BY REGION , 2020-2030,($BILLION)
TABLE 38. MACHINE LEARNING AS A SERVICE MARKET MANUFACTURING BY COUNTRY, 2020-2030,($BILLION)
TABLE 39. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR BANKING, FINANCIAL SERVICES, AND INSURANCE, BY REGION , 2020-2030,($BILLION)
TABLE 40. MACHINE LEARNING AS A SERVICE MARKET BANKING, FINANCIAL SERVICES, AND INSURANCE BY COUNTRY, 2020-2030,($BILLION)
TABLE 41. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR HEALTHCARE, BY REGION , 2020-2030,($BILLION)
TABLE 42. MACHINE LEARNING AS A SERVICE MARKET HEALTHCARE BY COUNTRY, 2020-2030,($BILLION)
TABLE 43. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR RETAIL, BY REGION , 2020-2030,($BILLION)
TABLE 44. MACHINE LEARNING AS A SERVICE MARKET RETAIL BY COUNTRY, 2020-2030,($BILLION)
TABLE 45. MACHINE LEARNING AS A SERVICE MARKET REVENUE, FOR OTHERS, BY REGION , 2020-2030,($BILLION)
TABLE 46. MACHINE LEARNING AS A SERVICE MARKET OTHERS BY COUNTRY, 2020-2030,($BILLION)
TABLE 47. MACHINE LEARNING AS A SERVICE MARKET, BY REGION, 2020-2030,($BILLION)
TABLE 48. NORTH AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY BY APPLICATION, 2020-2030,($BILLION)
TABLE 49. NORTH AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY BY ORGANIZATION SIZE, 2020-2030,($BILLION)
TABLE 50. NORTH AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY BY COMPONENT, 2020-2030,($BILLION)
TABLE 51. NORTH AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY 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 BY APPLICATION 2020-2030,($BILLION)
TABLE 54. U.S. MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 55. U.S. MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 56. U.S. MACHINE LEARNING AS A SERVICE MARKET BY BY END-USE INDUSTRY 2020-2030,($BILLION)
TABLE 57. CANADA MACHINE LEARNING AS A SERVICE MARKET BY BY APPLICATION 2020-2030,($BILLION)
TABLE 58. CANADA MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 59. CANADA MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 60. CANADA MACHINE LEARNING AS A SERVICE MARKET BY BY END-USE INDUSTRY 2020-2030,($BILLION)
TABLE 61. EUROPE MACHINE LEARNING AS A SERVICE MARKET, BY BY APPLICATION, 2020-2030,($BILLION)
TABLE 62. EUROPE MACHINE LEARNING AS A SERVICE MARKET, BY BY ORGANIZATION SIZE, 2020-2030,($BILLION)
TABLE 63. EUROPE MACHINE LEARNING AS A SERVICE MARKET, BY BY COMPONENT, 2020-2030,($BILLION)
TABLE 64. EUROPE MACHINE LEARNING AS A SERVICE MARKET, BY BY END-USE INDUSTRY, 2020-2030,($BILLION)
TABLE 65. EUROPE MACHINE LEARNING AS A SERVICE MARKET, BY COUNTRY, 2020-2030,($BILLION)
TABLE 66. UNITED KINGDOM MACHINE LEARNING AS A SERVICE MARKET BY BY APPLICATION 2020-2030,($BILLION)
TABLE 67. UNITED KINGDOM MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 68. UNITED KINGDOM MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 69. UNITED KINGDOM MACHINE LEARNING AS A SERVICE MARKET BY BY END-USE INDUSTRY 2020-2030,($BILLION)
TABLE 70. GERMANY MACHINE LEARNING AS A SERVICE MARKET BY BY APPLICATION 2020-2030,($BILLION)
TABLE 71. GERMANY MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 72. GERMANY MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 73. GERMANY MACHINE LEARNING AS A SERVICE MARKET BY BY END-USE INDUSTRY 2020-2030,($BILLION)
TABLE 74. FRANCE MACHINE LEARNING AS A SERVICE MARKET BY BY APPLICATION 2020-2030,($BILLION)
TABLE 75. FRANCE MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 76. FRANCE MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 77. FRANCE MACHINE LEARNING AS A SERVICE MARKET BY BY END-USE INDUSTRY 2020-2030,($BILLION)
TABLE 78. ITALY MACHINE LEARNING AS A SERVICE MARKET BY BY APPLICATION 2020-2030,($BILLION)
TABLE 79. ITALY MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 80. ITALY MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 81. ITALY MACHINE LEARNING AS A SERVICE MARKET BY BY END-USE INDUSTRY 2020-2030,($BILLION)
TABLE 82. SPAIN MACHINE LEARNING AS A SERVICE MARKET BY BY APPLICATION 2020-2030,($BILLION)
TABLE 83. SPAIN MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 84. SPAIN MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 85. SPAIN MACHINE LEARNING AS A SERVICE MARKET BY BY END-USE INDUSTRY 2020-2030,($BILLION)
TABLE 86. NETHERLANDS MACHINE LEARNING AS A SERVICE MARKET BY BY APPLICATION 2020-2030,($BILLION)
TABLE 87. NETHERLANDS MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 88. NETHERLANDS MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 89. NETHERLANDS MACHINE LEARNING AS A SERVICE MARKET BY BY END-USE INDUSTRY 2020-2030,($BILLION)
TABLE 90. REST OF EUROPE MACHINE LEARNING AS A SERVICE MARKET BY BY APPLICATION 2020-2030,($BILLION)
TABLE 91. REST OF EUROPE MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 92. REST OF EUROPE MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 93. REST OF EUROPE MACHINE LEARNING AS A SERVICE MARKET BY BY END-USE INDUSTRY 2020-2030,($BILLION)
TABLE 94. ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET, BY BY APPLICATION, 2020-2030,($BILLION)
TABLE 95. ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET, BY BY ORGANIZATION SIZE, 2020-2030,($BILLION)
TABLE 96. ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET, BY BY COMPONENT, 2020-2030,($BILLION)
TABLE 97. ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET, BY 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 BY APPLICATION 2020-2030,($BILLION)
TABLE 100. CHINA MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 101. CHINA MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 102. CHINA MACHINE LEARNING AS A SERVICE MARKET BY BY END-USE INDUSTRY 2020-2030,($BILLION)
TABLE 103. JAPAN MACHINE LEARNING AS A SERVICE MARKET BY BY APPLICATION 2020-2030,($BILLION)
TABLE 104. JAPAN MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 105. JAPAN MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 106. JAPAN MACHINE LEARNING AS A SERVICE MARKET BY BY END-USE INDUSTRY 2020-2030,($BILLION)
TABLE 107. INDIA MACHINE LEARNING AS A SERVICE MARKET BY BY APPLICATION 2020-2030,($BILLION)
TABLE 108. INDIA MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 109. INDIA MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 110. INDIA MACHINE LEARNING AS A SERVICE MARKET BY BY END-USE INDUSTRY 2020-2030,($BILLION)
TABLE 111. AUSTRALIA MACHINE LEARNING AS A SERVICE MARKET BY BY APPLICATION 2020-2030,($BILLION)
TABLE 112. AUSTRALIA MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 113. AUSTRALIA MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 114. AUSTRALIA MACHINE LEARNING AS A SERVICE MARKET BY BY END-USE INDUSTRY 2020-2030,($BILLION)
TABLE 115. SOUTH KOREA MACHINE LEARNING AS A SERVICE MARKET BY BY APPLICATION 2020-2030,($BILLION)
TABLE 116. SOUTH KOREA MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 117. SOUTH KOREA MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 118. SOUTH KOREA MACHINE LEARNING AS A SERVICE MARKET BY BY END-USE INDUSTRY 2020-2030,($BILLION)
TABLE 119. REST OF ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET BY BY APPLICATION 2020-2030,($BILLION)
TABLE 120. REST OF ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 121. REST OF ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 122. REST OF ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET BY BY END-USE INDUSTRY 2020-2030,($BILLION)
TABLE 123. LAMEA MACHINE LEARNING AS A SERVICE MARKET, BY BY APPLICATION, 2020-2030,($BILLION)
TABLE 124. LAMEA MACHINE LEARNING AS A SERVICE MARKET, BY BY ORGANIZATION SIZE, 2020-2030,($BILLION)
TABLE 125. LAMEA MACHINE LEARNING AS A SERVICE MARKET, BY BY COMPONENT, 2020-2030,($BILLION)
TABLE 126. LAMEA MACHINE LEARNING AS A SERVICE MARKET, BY BY END-USE INDUSTRY, 2020-2030,($BILLION)
TABLE 127. LAMEA MACHINE LEARNING AS A SERVICE MARKET, BY COUNTRY, 2020-2030,($BILLION)
TABLE 128. LATIN AMERICA MACHINE LEARNING AS A SERVICE MARKET BY BY APPLICATION 2020-2030,($BILLION)
TABLE 129. LATIN AMERICA MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 130. LATIN AMERICA MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 131. LATIN AMERICA MACHINE LEARNING AS A SERVICE MARKET BY BY END-USE INDUSTRY 2020-2030,($BILLION)
TABLE 132. MIDDLE EAST MACHINE LEARNING AS A SERVICE MARKET BY BY APPLICATION 2020-2030,($BILLION)
TABLE 133. MIDDLE EAST MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 134. MIDDLE EAST MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 135. MIDDLE EAST MACHINE LEARNING AS A SERVICE MARKET BY BY END-USE INDUSTRY 2020-2030,($BILLION)
TABLE 136. AFRICA MACHINE LEARNING AS A SERVICE MARKET BY BY APPLICATION 2020-2030,($BILLION)
TABLE 137. AFRICA MACHINE LEARNING AS A SERVICE MARKET BY BY ORGANIZATION SIZE 2020-2030,($BILLION)
TABLE 138. AFRICA MACHINE LEARNING AS A SERVICE MARKET BY BY COMPONENT 2020-2030,($BILLION)
TABLE 139. AFRICA MACHINE LEARNING AS A SERVICE MARKET BY 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
FIGURE 5.PORTER FIVE-1
FIGURE 6.PORTER FIVE-2
FIGURE 7.PORTER FIVE-3
FIGURE 8.PORTER FIVE-4
FIGURE 9.PORTER FIVE-5
FIGURE 10.TOP PLAYER POSITIONING
FIGURE 11.MACHINE LEARNING AS A SERVICE MARKET:DRIVERS, RESTRAINTS AND OPPORTUNITIES
FIGURE 12.KEY REGULATION ANALYSIS
FIGURE 13.PATENT ANALYSIS BY COMPANY
FIGURE 14.PATENT ANALYSIS BY COUNTRY
FIGURE 15.MACHINE LEARNING AS A SERVICE MARKET,BY BY APPLICATION,2020(%)
FIGURE 16.COMPARATIVE SHARE ANALYSIS OF MARKETING AND ADVERTISING MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 17.COMPARATIVE SHARE ANALYSIS OF FRAUD DETECTION AND RISK MANAGEMENT MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 18.COMPARATIVE SHARE ANALYSIS OF PREDICTIVE ANALYTICS MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 19.COMPARATIVE SHARE ANALYSIS OF AUGMENTED AND VIRTUAL REALITY MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 20.COMPARATIVE SHARE ANALYSIS OF NATURAL LANGUAGE PROCESSING MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 21.COMPARATIVE SHARE ANALYSIS OF COMPUTER VISION MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 22.COMPARATIVE SHARE ANALYSIS OF SECURITY AND SURVEILLANCE MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 23.COMPARATIVE SHARE ANALYSIS OF OTHERS MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 24.MACHINE LEARNING AS A SERVICE MARKET,BY BY ORGANIZATION SIZE,2020(%)
FIGURE 25.COMPARATIVE SHARE ANALYSIS OF LARGE ENTERPRISES MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 26.COMPARATIVE SHARE ANALYSIS OF SMALL AND MEDIUM ENTERPRISES MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 27.MACHINE LEARNING AS A SERVICE MARKET,BY BY COMPONENT,2020(%)
FIGURE 28.COMPARATIVE SHARE ANALYSIS OF SOLUTION MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 29.COMPARATIVE SHARE ANALYSIS OF SERVICES MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 30.MACHINE LEARNING AS A SERVICE MARKET,BY BY END-USE INDUSTRY,2020(%)
FIGURE 31.COMPARATIVE SHARE ANALYSIS OF AEROSPACE AND DEFENSE MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 32.COMPARATIVE SHARE ANALYSIS OF IT AND TELECOM MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 33.COMPARATIVE SHARE ANALYSIS OF ENERGY AND UTILITIES MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 34.COMPARATIVE SHARE ANALYSIS OF PUBLIC SECTOR MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 35.COMPARATIVE SHARE ANALYSIS OF MANUFACTURING MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 36.COMPARATIVE SHARE ANALYSIS OF BANKING, FINANCIAL SERVICES, AND INSURANCE MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 37.COMPARATIVE SHARE ANALYSIS OF HEALTHCARE MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 38.COMPARATIVE SHARE ANALYSIS OF RETAIL MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 39.COMPARATIVE SHARE ANALYSIS OF OTHERS MACHINE LEARNING AS A SERVICE MARKET,2020-2030(%)
FIGURE 40.MACHINE LEARNING AS A SERVICE MARKET BY REGION,2020
FIGURE 41.U.S. MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 42.CANADA MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 43.UNITED KINGDOM MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 44.GERMANY MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 45.FRANCE MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 46.ITALY MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 47.SPAIN MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 48.NETHERLANDS MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 49.REST OF EUROPE MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 50.CHINA MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 51.JAPAN MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 52.INDIA MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 53.AUSTRALIA MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 54.SOUTH KOREA MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 55.REST OF ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 56.LATIN AMERICA MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 57.MIDDLE EAST MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 58.AFRICA MACHINE LEARNING AS A SERVICE MARKET,2020-2030($BILLION)
FIGURE 59. TOP WINNING STRATEGIES, BY YEAR
FIGURE 60. TOP WINNING STRATEGIES, BY DEVELOPMENT
FIGURE 61. TOP WINNING STRATEGIES, BY COMPANY
FIGURE 62.PRODUCT MAPPING OF TOP 10 PLAYERS
FIGURE 63.COMPETITIVE DASHBOARD
FIGURE 64.COMPETITIVE HEATMAP OF TOP 10 KEY PLAYERS
FIGURE 65.GOOGLE INC.: NET SALES ,($BILLION)
FIGURE 66.SAS INSTITUTE INC.: NET SALES ,($BILLION)
FIGURE 67.FICO.: NET SALES ,($BILLION)
FIGURE 68.HEWLETT PACKARD ENTERPRISE.: NET SALES ,($BILLION)
FIGURE 69.YOTTAMINE ANALYTICS.: NET SALES ,($BILLION)
FIGURE 70.AMAZON WEB SERVICES.: NET SALES ,($BILLION)
FIGURE 71.BIGML, INC.: NET SALES ,($BILLION)
FIGURE 72.MICROSOFT CORPORATION.: NET SALES ,($BILLION)
FIGURE 73.PREDICTRON LABS LTD.: NET SALES ,($BILLION)
FIGURE 74.IBM CORPORATION.: NET SALES ,($BILLION
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