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2022
Machine Learning As A Service Market

Machine learning as a Service Market by 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 By Organization Size (Large Enterprises, Small and Medium Enterprises), by By Component (Solution, Services), by 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

A02359
Pages: 300
Apr 2022 | 14861 Views
   
Author(s) : Rachita Rake , Vineet Kumar
Tables: 190
Charts: 74
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COVID-19

Pandemic disrupted the entire world and affected many industries.

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Machine Learning As A Service Market Research, 2030

The global machine learning as a service market size was valued at $13.95 billion in 2020, and is projected to reach $302.66 billion by 2030, growing at a CAGR of 36.2% from 2021 to 2030.

The COVID-19 pandemic has had a significant effect on health, financial, and social systems of various countries. Individuals can profit from understanding and coping with their mental, psychological, and social well-being if knowledge of individual-level susceptibility factors is accessible.

Machine learning is a process of data analysis that comprises statistical data analysis performed to derive desired predictive output without the implementation of explicit programming. It 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.

Major Machine learning as a Service Market Growth drivers include increased market for cloud computing and growth associated with artificial intelligence and cognitive computing. Key impacting factors of the machine learning as a service include growth in demand for cloud-based solutions, including growth in demand for cloud computing, rise in adoption of analytical solutions, growth of artificial intelligence & cognitive computing market, increased application areas, and dearth of trained professionals.

Machine learning as a Service Market, MLaaS market, Machine learning as a Service Industry, Machine learning as a Service Market Size, Machine learning as a Service Market Share, Machine learning as a Service Market Trends, Machine learning as a Service Market Growth, Machine learning as a Service Market Forecast, Machine learning as a Service Market Analysis

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The machine learning as a service market is segmented into By Application, By Organization Size, By Component and By End-Use Industry. Depending on component, the ML as a Service market is divided into software and services. On the basis of organization size, it is divided into large enterprises and small & medium enterprises. On the basis of end-user industry, it is divided into aerospace and defense, BFSI, public sector, retail, healthcare, IT & telecom, energy & utilities, manufacturing, and others. On the basis of application, it is divided into marketing & advertising, fraud detection & risk management, predictive analytics, augmented & virtual reality, natural language processing, computer vision, security & surveillance, and others. On the basis of region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

In 2020, on the basis of component, the service segment dominated the machine learning as a service market share, 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 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. Use of machine learning services in the healthcare industry for detection of cancer as well as to check ECG and MRI increases 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 the cloud market are expected to unlock major opportunities for the market. For instance, in April 2021, Microsoft Corporation announced an open Dataset for transportation, health & genomics, labor & economics, population & safety, supplemental, and 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 of the ML as a Service of these companies.

Machine learning as a Service Market
By By Component

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Services segment is projected as one of the most lucrative segments.

North America is the fast growing region in the global machine learning as a service market, 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 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 in this region. Furthermore, growth associated with artificial intelligence and cognitive computing is expected to create lucrative opportunities for the market players to leverage varied industry applications such as predictive analytics, natural language processing, computer vision, fraud detection & management.

However, Asia-Pacific is expected to be the fastest growing regional segment during the forecast period, with the highest CAGR. Leading players are focusing on Asia-Pacific to increase their business as the region is expected to witness high growth in the deployment of security services, especially in the banking, financial services, and insurance (BFSI) sector. 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. Rise 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.

Machine learning as a Service Market
By Region

2030
North America 
Europe
Asia-pacific
Lamea

Asia-Pacific region is projected as one of the most lucrative segments.

COVID-19 impact analysis

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 health, financial, and social systems of various countries. 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 expected to help combat the COVID-19 pandemic. Several countries are using population surveillance methods to track and trace COVID-19 cases. For instance, in South Korea, researchers use surveillance camera footage and geo-location data to track coronavirus patients. Using this data, data scientists leverage machine intelligence algorithms to predict location of the next outbreak and inform the responsible authorities, helping to track disease in real-time. Such active initiatives are expected to surge demand for machine intelligence solutions during the forecast period.

Top impacting factors

Increase in market for cloud computing

Increase in adoption of cloud computing technology along with usage of social media platforms is driving the growth of the market. Cloud-computing has been adopted widely among all the businesses, which provides enterprise storage solutions. Using cloud storage, the analysis of the data is performed online, which gives an advantage of analyzing the real-time data generated on the cloud. Cloud computing allows analysis of data from anywhere and at any time. In addition, implementing machine learning through cloud allows companies to retrieve meaningful information, such as consumer behavior and their buying patterns, virtually from integrated data warehouses, which ultimately reduces the cost of infrastructure and storage. Hence, rise in adoption of cloud computing technology drives growth of the machine learning as a service industry.

                                                                                                

Growth associated with artificial intelligence and cognitive computing  

Artificial Intelligence (AI) system includes learning, reasoning, and self-correction powered by machine learning. Applications of AI include expert systems, speech recognition, and machine vision. Current projects, such as big data infrastructure and cloud computing, are responsible for increase in popularity of AI. Top companies in various sectors, such as Google, Microsoft, Amazon (Software & IT); Bloomberg, American Express (Financial Services); and Tesla, Ford (Automotive have identified AI and cognitive computing as a core strategic driver and started investments in machine learning to develop efficient systems which will be more advanced. These top companies have also supported new start-ups and provided financial support to generate new innovative technologies. For instance, Google invested $10.5 million in Algorithm, a marketplace & enterprise solution that allows developers to easily tap into its library of 3,500 algorithms, functions, and machine learning models.

Key Benefits For Stakeholders

  • This report provides a quantitative analysis of the market segments, current Machine learning as a Service Market Trends, estimations, and dynamics of the machine learning as a service market analysis from 2020 to 2030 to identify the prevailing machine learning as a service market opportunities.
  • The market research is offered along with information related to key drivers, restraints, and opportunities.
  • Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
  • In-depth analysis of the MLaaS market segmentation assists to determine the prevailing market opportunities.
  • Major countries in each region are mapped according to their revenue contribution to the global market.
  • Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
  • The report includes the analysis of the regional as well as global MLaaS market trends, key players, market segments, application areas, and market growth strategies.

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 By Organization Size
    • Large Enterprises
    • Small and Medium Enterprises
  • By By Component
    • Solution
    • Services
  • By 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 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 developments

    Note: Details on financial performance and strategic moves and developments may not be captured for unlisted companies.

  • 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)

 
 

According to the market estimates issued by CXOs of leading companies, the current business scenario has exhibited surge in use of machine learning as a service across various applications, such as healthcare, banking and financial, research & education, defense, IT & telecom, and manufacturing. In accordance to insights of leading CXOs, utilization of machine learning as a service among varied end-use industries has increased due to rise in adoption of cloud-based solutions and artificial intelligence market among various end-use industries and need to optimize business operations for enhanced analytical solutions. Moreover, this market is gaining significant acceptance from commercial users and large enterprises for improving business performance and meeting customers’ expectations by analyzing unstructured data. In addition, recent innovations in prediction solutions have further fueled the market growth.

According to CXOs, increase in economic strength of developing nations such as China, India, Indonesia, and Thailand is expected to provide lucrative opportunities for the market. North America is expected to dominate the market during the forecast period and emerging countries in Asia-Pacific and Latin America are projected to offer significant growth opportunities.

The global machine learning as a service market report covers various parameters of the machine learning industry. The market is segmented on the basis of component, organization size, end-use industry, application, and region. 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

 

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A. Key impacting factors of the machine learning as a service include growth in demand for cloud-based solutions, including growth in demand for cloud computing, rise in adoption of analytical solutions, growth of artificial intelligence & cognitive computing market, increased application areas, and dearth of trained professionals.

A. Leading applications of Machine learning as a Service Market includes Aerospace & Defense, IT & Telecom, Energy & Utilities, Public sector, and others.

A. North America is the dominating region in the global machine learning as a service market.

A. Some of the key data center automation 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.

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