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Machine Learning as a Service (MLaaS) Market Research Report Information By Component (Software tools, Cloud APIs, Web-based APIs), By Application (Network Analytics, Predictive Maintenance, Augmented Reality, Marketing And Advertising, Risk Analytics, And Fraud Detection), By Organization Size (Large Enterprise and Small & Medium Enterprise), By End-User (Manufacturing, Healthcare, BFSI, Transportation, Government, Retail) And By Region (North America, Europe, Asia-Pacific, And Rest Of The World) –Market Forecast Till 2032.


ID: MRFR/ICT/1865-HCR | 100 Pages | Author: Aarti Dhapte| July 2024

Machine Learning as a Service (MlaaS) Market Segmentation


Machine Learning as a Service (MLaaS) Component Outlook (USD Billion, 2019-2032)




  • Software tools




  • Cloud APIs




  • Web-based APIs




Machine Learning as a Service (MLaaS) Application Outlook (USD Billion, 2019-2032)




  • Network Analytics




  • Predictive Maintenance




  • Augmented Reality




  • Marketing And Advertising




  • Risk Analytics




  • Fraud Detection




Machine Learning as a Service (MLaaS) Organization Size Outlook (USD Billion, 2019-2032)




  • Large Enterprise




  • Small & Medium Enterprise




Machine Learning as a Service (MLaaS) End-User Outlook (USD Billion, 2019-2032)




  • Manufacturing




  • Healthcare




  • BFSI




  • Transportation




  • Government




  • Retail




Machine Learning as a Service (MLaaS) Regional Outlook (USD Billion, 2019-2032)




  • North America Outlook (USD Billion, 2019-2032)




    • North America Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • North America Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • North America Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • North America Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail






    • US Outlook (USD Billion, 2019-2032)




    • US Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • US Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • US Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • US Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail






    • CANADA Outlook (USD Billion, 2019-2032)




    • CANADA Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • CANADA Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • CANADA Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • CANADA Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail








  • Europe Outlook (USD Billion, 2019-2032)




    • Europe Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • Europe Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • Europe Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • Europe Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail






    • Germany Outlook (USD Billion, 2019-2032)




    • Germany Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • Germany Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • Germany Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • Germany Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail






    • France Outlook (USD Billion, 2019-2032)




    • France Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • France Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • France Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • France Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail






    • UK Outlook (USD Billion, 2019-2032)




    • UK Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • UK Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • UK Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • UK Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail






    • ITALY Outlook (USD Billion, 2019-2032)




    • ITALY Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • ITALY Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • ITALY Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • ITALY Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail






    • SPAIN Outlook (USD Billion, 2019-2032)




    • Spain Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • Spain Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • Spain Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • Spain Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail






    • Rest Of Europe Outlook (USD Billion, 2019-2032)




    • Rest Of Europe Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • Rest Of Europe Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • Rest Of Europe Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • Rest Of Europe Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail








  • Asia-Pacific Outlook (USD Billion, 2019-2032)




    • Asia-Pacific Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • Asia-Pacific Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • Asia-Pacific Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • Asia-Pacific Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail






    • China Outlook (USD Billion, 2019-2032)




    • China Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • China Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • China Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • China Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail






    • Japan Outlook (USD Billion, 2019-2032)




    • Japan Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • Japan Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • Japan Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • Japan Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail






    • India Outlook (USD Billion, 2019-2032)




    • India Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • India Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • India Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • India Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail






    • Australia Outlook (USD Billion, 2019-2032)




    • Australia Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • Australia Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • Australia Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • Australia Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail






    • Rest of Asia-Pacific Outlook (USD Billion, 2019-2032)




    • Rest of Asia-Pacific Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • Rest of Asia-Pacific Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • Rest of Asia-Pacific Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • Rest of Asia-Pacific Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail








  • Rest of the World Outlook (USD Billion, 2019-2032)




    • Rest of the World Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • Rest of the World Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • Rest of the World Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • Rest of the World Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail






    • Middle East Outlook (USD Billion, 2019-2032)




    • Middle East Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • Middle East Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • Middle East Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • Middle East Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail






    • Africa Outlook (USD Billion, 2019-2032)




    • Africa Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • Africa Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • Africa Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • Africa Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail






    • Latin America Outlook (USD Billion, 2019-2032)




    • Latin America Machine Learning as a Service (MLaaS) by Component




      • Software tools




      • Cloud APIs




      • Web-based APIs






    • Latin America Machine Learning as a Service (MLaaS) By Application




      • Network Analytics




      • Predictive Maintenance




      • Augmented Reality




      • Marketing And Advertising




      • Risk Analytics




      • Fraud Detection






    • Latin America Machine Learning as a Service (MLaaS) By Organization Size




      • Large Enterprise




      • Small & Medium Enterprise






    • Latin America Machine Learning as a Service (MLaaS) By End-User




      • Manufacturing




      • Healthcare




      • BFSI




      • Transportation




      • Government




      • Retail







Research Methodology on Machine Learning as a Service Market


Introduction:


Machine learning as a service (MLaaS) is a cloud computing-based model where Machine Learning (ML) tools, processes and applications are made available over the web. The latest advancements in Machine Learning technologies, such as the increasing adoption of MLaaS services, availability of huge data volumes and quick computational capabilities, have made it possible for organizations to develop better business strategies and insights. MLaaS enables an ML model to be established without the need to access any of the data, algorithms, and development tools. It can be an effective approach to help organizations not only to create required models but also maintain the necessary data and algorithms.


The current market research by Market Research Future (MRFR) states that the Machine Learning as a Service (MLaaS) market is likely to exhibit an exponential CAGR during the forecast period 2023 to 2030. This market is developing rapidly since the growth in the Cloud industry has enabled providers to develop an interactive system, where organizations can quickly deploy machine learning algorithms to analyze vast amounts of data, allowing them to make more accurate decisions in a shorter period.


Research Methodology:


The research methodology adopted for the MLaaS Market Report will include primary data collection techniques, through secondary research and interviews. Data from various sources such as government records, investment reports, newspapers and magazines, trade associations/firms, technical associations and journal articles will be collected for review. Primary research techniques include interviews and meetings with industry personnel, stakeholders in various companies, industry experts and data from various trade associations.


Objective:


The objective of the research is to provide an accurate market analysis of the global Machine Learning as a Service (MLaaS) technology market. The research will span a range of market aspects such as growth drivers, restraints, Porter's five forces model, SWOT analysis, technology trends, current market trends, market size & analysis, pricing analysis, and competitive landscape analysis. The research is intended to provide a comprehensive overview of the global MLaaS technology market and provide an understanding of the potential growth of individual companies.


Research Scope:


The scope of the research includes the analysis of current technology trends in the MLaaS market, comprehensive competitive landscape analysis, market size & analysis of MLaaS solutions from various regions, pricing strategies and strategies to gain competitive advantage. The scope of research also includes the identification of the key growth drivers, key trends, and market opportunities associated with the MLaaS market in different regions.


Research Protocols:


For the research, data from both primary and secondary sources will be integrated for analysis. Primary sources of data will include in-depth interviews and discussions with key decision-makers in the organizations, to understand their perspective of trends and how the overall market might progress. Primary data will also be collected from industry personnel, stakeholders, and market analysts. This will help in understanding individual technology trends and their strategic impacts in different markets.


Secondary data will be collected from sources such as government records, whitepapers, trade journals, market research reports and other publicly available sources. This secondary data will be supplemented by primary data collected through surveys, interviews and discussions. The research will be limited to the Machine Learning as a Service (MLaaS) market and its growth within different regions. The research will synthesize a comprehensive analysis of the potential growth prospects of the MLaaS market.


Research Model:


The research will apply a mixed-method approach to analyze the trends and growth prospects of the MLaaS market. The research model will encompass both qualitative and quantitative research models to gain key insights into the market. This would include qualitative research methods such as case studies, interviews, literature reviews and focus groups to understand the market dynamics in different regions across various types of organizations. These qualitative methods provide an overview and expert opinion regarding how different organizations view emerging trends and how they plan to capitalize on them.


Quantitative research methods such as trend analysis, market segmentation, regression analysis and data mining will be used to determine the market size, market shares and other numerical values concerning the MLaaS market. Further analysis through Porter's five forces model and SWOT analysis would provide a holistic understanding of the market and the potential opportunities available. The research will also analyze the macroeconomic factors affecting the market and include the insights of the study in the final report.


Conclusion:


Machine Learning as a Service (MLaaS) is a new and emergent technology, which is being explored by many organizations to capitalize on technological advancements and gain a competitive edge in the market. To deliver an accurate analysis of the market, a comprehensive research methodology comprising both qualitative and quantitative research models has been adopted. The research has identified current technology trends and identified the key growth drivers and market opportunities associated with MLaaS. Through the use of various market strategies, the research has analyzed the potential of the MLaaS market to uncover future market growth and the extent of its impact on different regions.

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TABLE OF CONTENTS

1 MARKET INTRODUCTION

1.1 INTRODUCTION

1.2 SCOPE OF STUDY

1.2.1 RESEARCH OBJECTIVE

1.2.2 ASSUMPTIONS

1.2.3 LIMITATIONS

1.3 MARKET STRUCTURE

2 RESEARCH METHODOLOGY

2.1 RESEARCH NETWORK SOLUTION

2.2 PRIMARY RESEARCH

2.3 SECONDARY RESEARCH

2.4 FORECAST MODEL

2.4.1 MARKET DATA COLLECTION, ANALYSIS & FORECAST

2.4.2 MARKET SIZE ESTIMATION

3 MARKET DYNAMICS

3.1 INTRODUCTION

3.2 MARKET DRIVERS

3.3 MARKET CHALLENGES

3.4 MARKET OPPORTUNITIES

3.5 MARKET RESTRAINTS

4 EXECUTIVE SUMMARY

5. MARKET FACTOR ANALYSIS

5.1 PORTER’S FIVE FORCES ANALYSIS

5.2 SUPPLY CHAIN ANALYSIS

6 MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY SEGMENTS

6.1 INTRODUCTION

6.2 MARKET STATISTICS

6.2.1 BY COMPONENT

6.2.1.1 Software tools

6.2.1.2 Cloud based APIs

6.2.1.3 Web based APIs

6.2.2 BY APPLICATION

6.2.2.1 Network analytics

6.2.2.2 Predictive maintenance

6.2.2.3 Augmented reality

6.2.2.4 Marketing and advertising

6.2.2.5 Risk analytics and fraud detection

6.2.3 BY DEPLOYMENT

6.2.3.1 ON CLOUD

6.2.3.2 ON PREMISE

6.2.4 MACHINE LEARNING AS A SERVICE (MLAAS) MARKET BY ORGANIZATION SIZE:

6.2.4.1 SMBs

6.2.4.2 Large enterprises

6.2.5 BY END-USER

6.2.5.1 BFSI

6.2.5.2 MANUFACTURING

6.2.5.3 HEALTHCARE

6.2.5.4 TRANSPORTATION

6.2.5.5 RETAIL

6.2.5.6 TELECOMMUNICATION

6.2.5.7 OTHERS

6.2.6 BY GEOGRAPHY

6.2.6.1 NORTH AMERICA

6.2.6.2 EUROPE

6.2.6.3 ASIA-PACIFIC

6.2.6.4 REST OF THE WORLD

7 COMPETITIVE ANALYSIS

7.1 MARKET SHARE ANALYSIS

7.2 COMPANY PROFILES

7.2.1 Google (U.S.)

7.2.2 BigML (U.S.)

7.2.3 Microsoft (U.S.)

7.2.4 IBM (U.S.)

7.2.5 Amazon Web Services (U.S.)

7.2.6 AT&T (U.S.)

7.2.7 Fuzzy.ai (Canada)

7.2.8 Yottamine Analytics (U.S.)

7.2.9 Ersatz Labs, Inc. (U.S.)

7.2.10 Sift Science, Inc. (U.S.)

7.2.11 OTHERS

LIST OF TABLES

TABLE 1 MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY COMPONENT

TABLE 2 MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY APPLICATION

TABLE 3 MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY DEPLOYMENT TYPE

TABLE 4 MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY ORGANIZATION SIZE

TABLE 5 MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY END-USER

TABLE 6 MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY REGIONS

TABLE 7 NORTH AMERICA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY COMPONENT

TABLE 8 NORTH AMERICA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY APPLICATION

TABLE 9 NORTH AMERICA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY DEPLOYMENT TYPE

TABLE 10 NORTH AMERICA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY ORGANIZATION SIZE

TABLE 11 NORTH AMERICA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY END-USER

TABLE 12 U.S. MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY COMPONENT

TABLE 13 U.S. MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY APPLICATION

TABLE 14 U.S. MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY DEPLOYMENT TYPE

TABLE 15 U.S. MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY ORGANIZATION SIZE

TABLE 16 U.S. MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY END-USER

TABLE 17 CANADA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY COMPONENT

TABLE 18 CANADA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY APPLICATION

TABLE 19 CANADA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY DEPLOYMENT TYPE

TABLE 20 CANADA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY ORGANIZATION SIZE

TABLE 21 CANADA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY END-USER

TABLE 22 EUROPE MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY COMPONENT

TABLE 23 EUROPE MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY APPLICATION

TABLE 24 EUROPE MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY DEPLOYMENT TYPE

TABLE 25 EUROPE MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY ORGANIZATION SIZE

TABLE 26 EUROPE MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY END-USER

TABLE 27 GERMANY MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY COMPONENT

TABLE 28 GERMANY MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY APPLICATION

TABLE 29 GERMANY MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY DEPLOYMENT TYPE

TABLE 30 GERMANY MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY ORGANIZATION SIZE

TABLE 31 GERMANY MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY END-USER

TABLE 32 FRANCE MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY COMPONENT

TABLE 33 FRANCE MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY APPLICATION

TABLE 34 FRANCE MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY DEPLOYMENT TYPE

TABLE 35 FRANCE MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY ORGANIZATION SIZE

TABLE 36 FRANCE MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY END-USER

TABLE 37 U.K. MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY COMPONENT

TABLE 38 U.K. MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY APPLICATION

TABLE 39 U.K. MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY DEPLOYMENT TYPE

TABLE 40 U.K. MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY ORGANIZATION SIZE

TABLE 41 U.K. MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY END-USER

TABLE 42 REST OF EUROPE MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY COMPONENT

TABLE 43 REST OF EUROPE MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY APPLICATION

TABLE 44 REST OF EUROPE CHIP MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY DEPLOYMENT TYPE

TABLE 45 REST OF EUROPE CHIP MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY ORGANIZATION SIZE

TABLE 46 REST OF EUROPE CHIP MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY END-USER

TABLE 47 ASIA-PACIFIC MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY COMPONENT

TABLE 48 ASIA-PACIFIC MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY APPLICATION

TABLE 49 ASIA-PACIFIC MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY DEPLOYMENT TYPE

TABLE 50 ASIA-PACIFIC MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY ORGANIZATION SIZE

TABLE 51 ASIA-PACIFIC MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY END-USER

TABLE 52 MIDDLE EAST & AFRICA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY COMPONENT

TABLE 53 MIDDLE EAST & AFRICA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY APPLICATION

TABLE 54 MIDDLE EAST & AFRICA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY DEPLOYMENT TYPE

TABLE 55 MIDDLE EAST & AFRICA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY ORGANIZATION SIZE

TABLE 56 MIDDLE EAST & AFRICA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY END-USER
LIST OF FIGURES

FIGURE 1 RESEARCH NETWORK SOLUTION

FIGURE 2 MACHINE LEARNING AS A SERVICE (MLAAS) MARKET: BY COMPONENT (%)

FIGURE 3 MACHINE LEARNING AS A SERVICE (MLAAS) MARKET: BY APPLICATION (%)

FIGURE 4 MACHINE LEARNING AS A SERVICE (MLAAS) MARKET: BY DEPLOYMENT TYPE (%)

FIGURE 5 MACHINE LEARNING AS A SERVICE (MLAAS) MARKET: BY ORGANIZATION SIZE (%)

FIGURE 6 MACHINE LEARNING AS A SERVICE (MLAAS) MARKET: BY END-USER (%)

FIGURE 7 MACHINE LEARNING AS A SERVICE (MLAAS) MARKET: BY REGION

FIGURE 8 NORTH AMERICA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY COMPONENT (%)

FIGURE 9 NORTH AMERICA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY APPLICATION (%)

FIGURE 10 NORTH AMERICA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY DEPLOYMENT TYPE (%)

FIGURE 11 NORTH AMERICA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY ORGANIZATION SIZE (%)

FIGURE 12 NORTH AMERICA MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY END-USER (%)

FIGURE 13 EUROPE MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY COMPONENT (%)

FIGURE 14 EUROPE MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY APPLICATION (%)

FIGURE 15 EUROPE MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY DEPLOYMENT TYPE (%)

FIGURE 16 EUROPE MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY ORGANIZATION SIZE (%)

FIGURE 17 EUROPE MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY END-USER (%)

FIGURE 18 ASIA-PACIFIC MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY COMPONENT (%)

FIGURE 19 ASIA-PACIFIC MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY APPLICATION (%)

FIGURE 20 ASIA-PACIFIC MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY DEPLOYMENT TYPE (%)

FIGURE 21 ASIA-PACIFIC MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY ORGANIZATION SIZE (%)

FIGURE 22 ASIA-PACIFIC MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY END-USER (%)

FIGURE 23 ROW MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY COMPONENT (%)

FIGURE 24 ROW MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY APPLICATION (%)

FIGURE 25 ROW MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY DEPLOYMENT TYPE (%)

FIGURE 26 ROW MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY ORGANIZATION SIZE (%)

FIGURE 27 ROW MACHINE LEARNING AS A SERVICE (MLAAS) MARKET, BY END-USER (%)

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