Global Machine Learning as a Service Market Overview

The Global Machine Learning as a Service Market Was Estimated At USD 11.21 Billion In 2022, And Is Projected To Reach USD 128.14 Billion By 2030, Growing At A CAGR Of 35.6% Over The Analysis Period.

Machine Learning as a Service (MLaaS) is a collection of cloud computing services that include machine learning tools. MLaaS enables clients to benefit from machine learning without incurring the associated cost, time, and risk of establishing an internal machine learning team. MLaaS can alleviate infrastructure concerns such as data pre-processing, model training, model evaluation, and, ultimately, predictions. Predictive analytics and deep learning, APIs, data visualization, natural language processing, and other tools are available from service providers. The computation aspect is handled by the data centers of the service provider.

Machine Learning as a Service Market 

As more businesses migrate their data from on-premise storage to cloud storage systems, the need for proper data organization grows. Because MLaaS platforms are essentially cloud providers, they provide ways to properly manage data for machine learning experiments, data pipelining, and thus make it easier for data engineers to access and process the data. MLaaS encourages small and medium-sized businesses (SMBs) to use machine learning and gain actionable insights from their data. MLaaS platforms eliminate the need for specialized, costly infrastructure and make machine learning technology deployment more approachable, scalable, and affordable thus, driving the growth of the Machine Learning as a Service market over the forecasted period.

Market Dynamics And Factors For Machine Learning as a Service Market

Drivers:

  • The Rise In The Number Of Organizations Opting For Cloud Services

Restraints:

  • Lack Of Skilled Workforce And Stringent Compliance Policies

Opportunity:

  • Large Number Of SMEs Adopting AI And ML Applications

Challenges:

  • Reducing Total Ownership Cost And Including Effective Predictive Technologies

Covid-19 Impact Analysis On Machine Learning as a Service Market

As businesses emerge from the lockdown restrictions imposed by the COVID-19 pandemic, Machine Learning has taken center stage because it provides enterprises with insights into trends in customer behavior and business operational patterns, as well as supports the development of new products. Many of today's leading multinational corporations, including Facebook, Google, and Uber, have made Machine Learning a core component of their business. Machine Learning has emerged as a significant competitive differentiator for many businesses around the world. According to Gartner, Digital Transformation, the need for democratization, and the urgency of industrialization are driving the adoption of Machine Learning in the enterprise. According to the firm, 48% of respondents to the 2022 Gartner CIO and Technology Executive Survey have already deployed or plan to deploy AI/ML in the coming year.

Top Key Players Covered In Machine Learning as a Service Market

  • Google LLC
  • Amazon Web Services
  • BigML
  • IBM Corporation
  • Intel Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Hewlett Packard Enterprises
  • AT&T
  • FICO
  • Sift-Science
  • Yottamine Analytics
  • Ersatz Labs
  • Amazon Web Services
  • SAP SE, And Other Major Players

Key Industry Development In The Machine Learning as a Service Market

In August 2022, Anaconda Inc. announced a partnership with Oracle Cloud Infrastructure to provide secure open-source Python and R tools and packages through the embedding and enabling of Anaconda's repository across OCI Artificial Intelligence and Machine Learning Services. Customers can access Anaconda services directly from OCI without the need for a separate enterprise license.

Global Machine Learning as a Service Market

Base Year:

2022

Forecast Period:

2023-2030

Historical Data:

2017 to 2021

Market Size in 2022:

USD 11.21 Bn.

Forecast Period 2023-30 CAGR:

35.6%

Market Size in 2030:

USD 128.14 Bn.

Segments Covered:

By Component

  • Solutions
  • Services

By Application

  • Natural Language Processing
  • Marketing & Advertising
  • Fraud Detection & Risk Management
  • Predictive analytics
  • Others

By End-Use Industry

  • BFSI
  • Government & Defense
  • Healthcare & Life Sciences
  • Telecommunications
  • Retail
  • Others

By Region

  • North America (U.S., Canada, Mexico)
  • Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
  • Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
  • Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
  • South America (Brazil, Argentina, Rest of SA)

Key Market Drivers:

  • Rise In The Number Of Organizations Opting For Cloud Services

Key Market Restraints:

  • Lack Of Skilled Workforce And Stringent Compliance Policies

Key Opportunities:

  • Large Number Of SMEs Adopting AI And ML Applications

Companies Covered in the report:

  • Intel Corporation, Microsoft Corporation, Oracle Corporation, Hewlett Packard Enterprises, AT&T, FICO, and Other Major Players.

Chapter 1: Introduction
 1.1 Research Objectives
 1.2 Research Methodology
 1.3 Research Process
 1.4 Scope and Coverage
  1.4.1 Market Definition
  1.4.2 Key Questions Answered
 1.5 Market Segmentation

Chapter 2:Executive Summary

Chapter 3:Growth Opportunities By Segment
 3.1 By Component
 3.2 By Application
 3.3 By End-Use Industry

Chapter 4: Market Landscape
 4.1 Porter's Five Forces Analysis
  4.1.1 Bargaining Power of Supplier
  4.1.2 Threat of New Entrants
  4.1.3 Threat of Substitutes
  4.1.4 Competitive Rivalry
  4.1.5 Bargaining Power Among Buyers
 4.2 Industry Value Chain Analysis
 4.3 Market Dynamics
  4.3.1 Drivers
  4.3.2 Restraints
  4.3.3 Opportunities
  4.5.4 Challenges
 4.4 Pestle Analysis
 4.5 Technological Roadmap
 4.6 Regulatory Landscape
 4.7 SWOT Analysis
 4.8 Price Trend Analysis
 4.9 Patent Analysis
 4.10 Analysis of the Impact of Covid-19
  4.10.1 Impact on the Overall Market
  4.10.2 Impact on the Supply Chain
  4.10.3 Impact on the Key Manufacturers
  4.10.4 Impact on the Pricing

Chapter 5: Machine Learning as a Service Market by Component
 5.1 Machine Learning as a Service Market Overview Snapshot and Growth Engine
 5.2 Machine Learning as a Service Market Overview
 5.3 Solutions
  5.3.1 Introduction and Market Overview
  5.3.2 Historic and Forecasted Market Size (2016-2028F)
  5.3.3 Key Market Trends, Growth Factors and Opportunities
  5.3.4 Solutions: Geographic Segmentation
 5.4 Services
  5.4.1 Introduction and Market Overview
  5.4.2 Historic and Forecasted Market Size (2016-2028F)
  5.4.3 Key Market Trends, Growth Factors and Opportunities
  5.4.4 Services: Geographic Segmentation

Chapter 6: Machine Learning as a Service Market by Application
 6.1 Machine Learning as a Service Market Overview Snapshot and Growth Engine
 6.2 Machine Learning as a Service Market Overview
 6.3 Natural Language Processing
  6.3.1 Introduction and Market Overview
  6.3.2 Historic and Forecasted Market Size (2016-2028F)
  6.3.3 Key Market Trends, Growth Factors and Opportunities
  6.3.4 Natural Language Processing: Geographic Segmentation
 6.4 Marketing & Advertising
  6.4.1 Introduction and Market Overview
  6.4.2 Historic and Forecasted Market Size (2016-2028F)
  6.4.3 Key Market Trends, Growth Factors and Opportunities
  6.4.4 Marketing & Advertising: Geographic Segmentation
 6.5 Fraud Detection & Risk Management
  6.5.1 Introduction and Market Overview
  6.5.2 Historic and Forecasted Market Size (2016-2028F)
  6.5.3 Key Market Trends, Growth Factors and Opportunities
  6.5.4 Fraud Detection & Risk Management: Geographic Segmentation
 6.6 Predictive analytics
  6.6.1 Introduction and Market Overview
  6.6.2 Historic and Forecasted Market Size (2016-2028F)
  6.6.3 Key Market Trends, Growth Factors and Opportunities
  6.6.4 Predictive analytics: Geographic Segmentation
 6.7 Others
  6.7.1 Introduction and Market Overview
  6.7.2 Historic and Forecasted Market Size (2016-2028F)
  6.7.3 Key Market Trends, Growth Factors and Opportunities
  6.7.4 Others: Geographic Segmentation

Chapter 7: Machine Learning as a Service Market by End-Use Industry
 7.1 Machine Learning as a Service Market Overview Snapshot and Growth Engine
 7.2 Machine Learning as a Service Market Overview
 7.3 BFSI
  7.3.1 Introduction and Market Overview
  7.3.2 Historic and Forecasted Market Size (2016-2028F)
  7.3.3 Key Market Trends, Growth Factors and Opportunities
  7.3.4 BFSI: Geographic Segmentation
 7.4 Government & Defense
  7.4.1 Introduction and Market Overview
  7.4.2 Historic and Forecasted Market Size (2016-2028F)
  7.4.3 Key Market Trends, Growth Factors and Opportunities
  7.4.4 Government & Defense: Geographic Segmentation
 7.5 Healthcare & Life Sciences
  7.5.1 Introduction and Market Overview
  7.5.2 Historic and Forecasted Market Size (2016-2028F)
  7.5.3 Key Market Trends, Growth Factors and Opportunities
  7.5.4 Healthcare & Life Sciences: Geographic Segmentation
 7.6 Telecommunications
  7.6.1 Introduction and Market Overview
  7.6.2 Historic and Forecasted Market Size (2016-2028F)
  7.6.3 Key Market Trends, Growth Factors and Opportunities
  7.6.4 Telecommunications: Geographic Segmentation
 7.7 Retail
  7.7.1 Introduction and Market Overview
  7.7.2 Historic and Forecasted Market Size (2016-2028F)
  7.7.3 Key Market Trends, Growth Factors and Opportunities
  7.7.4 Retail: Geographic Segmentation
 7.8 Others
  7.8.1 Introduction and Market Overview
  7.8.2 Historic and Forecasted Market Size (2016-2028F)
  7.8.3 Key Market Trends, Growth Factors and Opportunities
  7.8.4 Others: Geographic Segmentation

Chapter 8: Company Profiles and Competitive Analysis
 8.1 Competitive Landscape
  8.1.1 Competitive Positioning
  8.1.2 Machine Learning as a Service Sales and Market Share By Players
  8.1.3 Industry BCG Matrix
  8.1.4 Heat Map Analysis
  8.1.5 Machine Learning as a Service Industry Concentration Ratio (CR5 and HHI)
  8.1.6 Top 5 Machine Learning as a Service Players Market Share
  8.1.7 Mergers and Acquisitions
  8.1.8 Business Strategies By Top Players
 8.2 GOOGLE LLC
  8.2.1 Company Overview
  8.2.2 Key Executives
  8.2.3 Company Snapshot
  8.2.4 Operating Business Segments
  8.2.5 Product Portfolio
  8.2.6 Business Performance
  8.2.7 Key Strategic Moves and Recent Developments
  8.2.8 SWOT Analysis
 8.3 AMAZON WEB SERVICES
 8.4 BIGML
 8.5 IBM CORPORATION
 8.6 INTEL CORPORATION
 8.7 MICROSOFT CORPORATION
 8.8 ORACLE CORPORATION
 8.9 HEWLETT PACKARD ENTERPRISES
 8.10 AT&T
 8.11 FICO
 8.12 SIFT-SCIENCE
 8.13 YOTTAMINE ANALYTICS
 8.14 ERSATZ LABS
 8.15 AMAZON WEB SERVICES
 8.16 SAP SE
 8.17 OTHER MAJOR PLAYERS

Chapter 9: Global Machine Learning as a Service Market Analysis, Insights and Forecast, 2016-2028
 9.1 Market Overview
 9.2 Historic and Forecasted Market Size By Component
  9.2.1 Solutions
  9.2.2 Services
 9.3 Historic and Forecasted Market Size By Application
  9.3.1 Natural Language Processing
  9.3.2 Marketing & Advertising
  9.3.3 Fraud Detection & Risk Management
  9.3.4 Predictive analytics
  9.3.5 Others
 9.4 Historic and Forecasted Market Size By End-Use Industry
  9.4.1 BFSI
  9.4.2 Government & Defense
  9.4.3 Healthcare & Life Sciences
  9.4.4 Telecommunications
  9.4.5 Retail
  9.4.6 Others

Chapter 10: North America Machine Learning as a Service Market Analysis, Insights and Forecast, 2016-2028
 10.1 Key Market Trends, Growth Factors and Opportunities
 10.2 Impact of Covid-19
 10.3 Key Players
 10.4 Key Market Trends, Growth Factors and Opportunities
 10.4 Historic and Forecasted Market Size By Component
  10.4.1 Solutions
  10.4.2 Services
 10.5 Historic and Forecasted Market Size By Application
  10.5.1 Natural Language Processing
  10.5.2 Marketing & Advertising
  10.5.3 Fraud Detection & Risk Management
  10.5.4 Predictive analytics
  10.5.5 Others
 10.6 Historic and Forecasted Market Size By End-Use Industry
  10.6.1 BFSI
  10.6.2 Government & Defense
  10.6.3 Healthcare & Life Sciences
  10.6.4 Telecommunications
  10.6.5 Retail
  10.6.6 Others
 10.7 Historic and Forecast Market Size by Country
  10.7.1 U.S.
  10.7.2 Canada
  10.7.3 Mexico

Chapter 11: Europe Machine Learning as a Service Market Analysis, Insights and Forecast, 2016-2028
 11.1 Key Market Trends, Growth Factors and Opportunities
 11.2 Impact of Covid-19
 11.3 Key Players
 11.4 Key Market Trends, Growth Factors and Opportunities
 11.4 Historic and Forecasted Market Size By Component
  11.4.1 Solutions
  11.4.2 Services
 11.5 Historic and Forecasted Market Size By Application
  11.5.1 Natural Language Processing
  11.5.2 Marketing & Advertising
  11.5.3 Fraud Detection & Risk Management
  11.5.4 Predictive analytics
  11.5.5 Others
 11.6 Historic and Forecasted Market Size By End-Use Industry
  11.6.1 BFSI
  11.6.2 Government & Defense
  11.6.3 Healthcare & Life Sciences
  11.6.4 Telecommunications
  11.6.5 Retail
  11.6.6 Others
 11.7 Historic and Forecast Market Size by Country
  11.7.1 Germany
  11.7.2 U.K.
  11.7.3 France
  11.7.4 Italy
  11.7.5 Russia
  11.7.6 Spain
  11.7.7 Rest of Europe

Chapter 12: Asia-Pacific Machine Learning as a Service Market Analysis, Insights and Forecast, 2016-2028
 12.1 Key Market Trends, Growth Factors and Opportunities
 12.2 Impact of Covid-19
 12.3 Key Players
 12.4 Key Market Trends, Growth Factors and Opportunities
 12.4 Historic and Forecasted Market Size By Component
  12.4.1 Solutions
  12.4.2 Services
 12.5 Historic and Forecasted Market Size By Application
  12.5.1 Natural Language Processing
  12.5.2 Marketing & Advertising
  12.5.3 Fraud Detection & Risk Management
  12.5.4 Predictive analytics
  12.5.5 Others
 12.6 Historic and Forecasted Market Size By End-Use Industry
  12.6.1 BFSI
  12.6.2 Government & Defense
  12.6.3 Healthcare & Life Sciences
  12.6.4 Telecommunications
  12.6.5 Retail
  12.6.6 Others
 12.7 Historic and Forecast Market Size by Country
  12.7.1 China
  12.7.2 India
  12.7.3 Japan
  12.7.4 Singapore
  12.7.5 Australia
  12.7.6 New Zealand
  12.7.7 Rest of APAC

Chapter 13: Middle East & Africa Machine Learning as a Service Market Analysis, Insights and Forecast, 2016-2028
 13.1 Key Market Trends, Growth Factors and Opportunities
 13.2 Impact of Covid-19
 13.3 Key Players
 13.4 Key Market Trends, Growth Factors and Opportunities
 13.4 Historic and Forecasted Market Size By Component
  13.4.1 Solutions
  13.4.2 Services
 13.5 Historic and Forecasted Market Size By Application
  13.5.1 Natural Language Processing
  13.5.2 Marketing & Advertising
  13.5.3 Fraud Detection & Risk Management
  13.5.4 Predictive analytics
  13.5.5 Others
 13.6 Historic and Forecasted Market Size By End-Use Industry
  13.6.1 BFSI
  13.6.2 Government & Defense
  13.6.3 Healthcare & Life Sciences
  13.6.4 Telecommunications
  13.6.5 Retail
  13.6.6 Others
 13.7 Historic and Forecast Market Size by Country
  13.7.1 Turkey
  13.7.2 Saudi Arabia
  13.7.3 Iran
  13.7.4 UAE
  13.7.5 Africa
  13.7.6 Rest of MEA

Chapter 14: South America Machine Learning as a Service Market Analysis, Insights and Forecast, 2016-2028
 14.1 Key Market Trends, Growth Factors and Opportunities
 14.2 Impact of Covid-19
 14.3 Key Players
 14.4 Key Market Trends, Growth Factors and Opportunities
 14.4 Historic and Forecasted Market Size By Component
  14.4.1 Solutions
  14.4.2 Services
 14.5 Historic and Forecasted Market Size By Application
  14.5.1 Natural Language Processing
  14.5.2 Marketing & Advertising
  14.5.3 Fraud Detection & Risk Management
  14.5.4 Predictive analytics
  14.5.5 Others
 14.6 Historic and Forecasted Market Size By End-Use Industry
  14.6.1 BFSI
  14.6.2 Government & Defense
  14.6.3 Healthcare & Life Sciences
  14.6.4 Telecommunications
  14.6.5 Retail
  14.6.6 Others
 14.7 Historic and Forecast Market Size by Country
  14.7.1 Brazil
  14.7.2 Argentina
  14.7.3 Rest of SA

Chapter 15 Investment Analysis

Chapter 16 Analyst Viewpoint and Conclusion

Global Machine Learning as a Service Market

Base Year:

2022

Forecast Period:

2023-2030

Historical Data:

2017 to 2021

Market Size in 2022:

USD 11.21 Bn.

Forecast Period 2023-30 CAGR:

35.6%

Market Size in 2030:

USD 128.14 Bn.

Segments Covered:

By Component

  • Solutions
  • Services

By Application

  • Natural Language Processing
  • Marketing & Advertising
  • Fraud Detection & Risk Management
  • Predictive analytics
  • Others

By End-Use Industry

  • BFSI
  • Government & Defense
  • Healthcare & Life Sciences
  • Telecommunications
  • Retail
  • Others

By Region

  • North America (U.S., Canada, Mexico)
  • Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
  • Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
  • Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
  • South America (Brazil, Argentina, Rest of SA)

Key Market Drivers:

  • Rise In The Number Of Organizations Opting For Cloud Services

Key Market Restraints:

  • Lack Of Skilled Workforce And Stringent Compliance Policies

Key Opportunities:

  • Large Number Of SMEs Adopting AI And ML Applications

Companies Covered in the report:

  • Intel Corporation, Microsoft Corporation, Oracle Corporation, Hewlett Packard Enterprises, AT&T, FICO, and Other Major Players.

LIST OF TABLES

TABLE 001. EXECUTIVE SUMMARY
TABLE 002. MACHINE LEARNING AS A SERVICE MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. MACHINE LEARNING AS A SERVICE MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. MACHINE LEARNING AS A SERVICE MARKET COMPETITIVE RIVALRY
TABLE 005. MACHINE LEARNING AS A SERVICE MARKET THREAT OF NEW ENTRANTS
TABLE 006. MACHINE LEARNING AS A SERVICE MARKET THREAT OF SUBSTITUTES
TABLE 007. MACHINE LEARNING AS A SERVICE MARKET BY COMPONENT
TABLE 008. SOLUTIONS MARKET OVERVIEW (2016-2028)
TABLE 009. SERVICES MARKET OVERVIEW (2016-2028)
TABLE 010. MACHINE LEARNING AS A SERVICE MARKET BY APPLICATION
TABLE 011. NATURAL LANGUAGE PROCESSING MARKET OVERVIEW (2016-2028)
TABLE 012. MARKETING & ADVERTISING MARKET OVERVIEW (2016-2028)
TABLE 013. FRAUD DETECTION & RISK MANAGEMENT MARKET OVERVIEW (2016-2028)
TABLE 014. PREDICTIVE ANALYTICS MARKET OVERVIEW (2016-2028)
TABLE 015. OTHERS MARKET OVERVIEW (2016-2028)
TABLE 016. MACHINE LEARNING AS A SERVICE MARKET BY END-USE INDUSTRY
TABLE 017. BFSI MARKET OVERVIEW (2016-2028)
TABLE 018. GOVERNMENT & DEFENSE MARKET OVERVIEW (2016-2028)
TABLE 019. HEALTHCARE & LIFE SCIENCES MARKET OVERVIEW (2016-2028)
TABLE 020. TELECOMMUNICATIONS MARKET OVERVIEW (2016-2028)
TABLE 021. RETAIL MARKET OVERVIEW (2016-2028)
TABLE 022. OTHERS MARKET OVERVIEW (2016-2028)
TABLE 023. NORTH AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT (2016-2028)
TABLE 024. NORTH AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION (2016-2028)
TABLE 025. NORTH AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY (2016-2028)
TABLE 026. N MACHINE LEARNING AS A SERVICE MARKET, BY COUNTRY (2016-2028)
TABLE 027. EUROPE MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT (2016-2028)
TABLE 028. EUROPE MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION (2016-2028)
TABLE 029. EUROPE MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY (2016-2028)
TABLE 030. MACHINE LEARNING AS A SERVICE MARKET, BY COUNTRY (2016-2028)
TABLE 031. ASIA PACIFIC MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT (2016-2028)
TABLE 032. ASIA PACIFIC MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION (2016-2028)
TABLE 033. ASIA PACIFIC MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY (2016-2028)
TABLE 034. MACHINE LEARNING AS A SERVICE MARKET, BY COUNTRY (2016-2028)
TABLE 035. MIDDLE EAST & AFRICA MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT (2016-2028)
TABLE 036. MIDDLE EAST & AFRICA MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION (2016-2028)
TABLE 037. MIDDLE EAST & AFRICA MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY (2016-2028)
TABLE 038. MACHINE LEARNING AS A SERVICE MARKET, BY COUNTRY (2016-2028)
TABLE 039. SOUTH AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT (2016-2028)
TABLE 040. SOUTH AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION (2016-2028)
TABLE 041. SOUTH AMERICA MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY (2016-2028)
TABLE 042. MACHINE LEARNING AS A SERVICE MARKET, BY COUNTRY (2016-2028)
TABLE 043. GOOGLE LLC: SNAPSHOT
TABLE 044. GOOGLE LLC: BUSINESS PERFORMANCE
TABLE 045. GOOGLE LLC: PRODUCT PORTFOLIO
TABLE 046. GOOGLE LLC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 046. AMAZON WEB SERVICES: SNAPSHOT
TABLE 047. AMAZON WEB SERVICES: BUSINESS PERFORMANCE
TABLE 048. AMAZON WEB SERVICES: PRODUCT PORTFOLIO
TABLE 049. AMAZON WEB SERVICES: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 049. BIGML: SNAPSHOT
TABLE 050. BIGML: BUSINESS PERFORMANCE
TABLE 051. BIGML: PRODUCT PORTFOLIO
TABLE 052. BIGML: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 052. IBM CORPORATION: SNAPSHOT
TABLE 053. IBM CORPORATION: BUSINESS PERFORMANCE
TABLE 054. IBM CORPORATION: PRODUCT PORTFOLIO
TABLE 055. IBM CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 055. INTEL CORPORATION: SNAPSHOT
TABLE 056. INTEL CORPORATION: BUSINESS PERFORMANCE
TABLE 057. INTEL CORPORATION: PRODUCT PORTFOLIO
TABLE 058. INTEL CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 058. MICROSOFT CORPORATION: SNAPSHOT
TABLE 059. MICROSOFT CORPORATION: BUSINESS PERFORMANCE
TABLE 060. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 061. MICROSOFT CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 061. ORACLE CORPORATION: SNAPSHOT
TABLE 062. ORACLE CORPORATION: BUSINESS PERFORMANCE
TABLE 063. ORACLE CORPORATION: PRODUCT PORTFOLIO
TABLE 064. ORACLE CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 064. HEWLETT PACKARD ENTERPRISES: SNAPSHOT
TABLE 065. HEWLETT PACKARD ENTERPRISES: BUSINESS PERFORMANCE
TABLE 066. HEWLETT PACKARD ENTERPRISES: PRODUCT PORTFOLIO
TABLE 067. HEWLETT PACKARD ENTERPRISES: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 067. AT&T: SNAPSHOT
TABLE 068. AT&T: BUSINESS PERFORMANCE
TABLE 069. AT&T: PRODUCT PORTFOLIO
TABLE 070. AT&T: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 070. FICO: SNAPSHOT
TABLE 071. FICO: BUSINESS PERFORMANCE
TABLE 072. FICO: PRODUCT PORTFOLIO
TABLE 073. FICO: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 073. SIFT-SCIENCE: SNAPSHOT
TABLE 074. SIFT-SCIENCE: BUSINESS PERFORMANCE
TABLE 075. SIFT-SCIENCE: PRODUCT PORTFOLIO
TABLE 076. SIFT-SCIENCE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 076. YOTTAMINE ANALYTICS: SNAPSHOT
TABLE 077. YOTTAMINE ANALYTICS: BUSINESS PERFORMANCE
TABLE 078. YOTTAMINE ANALYTICS: PRODUCT PORTFOLIO
TABLE 079. YOTTAMINE ANALYTICS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 079. ERSATZ LABS: SNAPSHOT
TABLE 080. ERSATZ LABS: BUSINESS PERFORMANCE
TABLE 081. ERSATZ LABS: PRODUCT PORTFOLIO
TABLE 082. ERSATZ LABS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 082. AMAZON WEB SERVICES: SNAPSHOT
TABLE 083. AMAZON WEB SERVICES: BUSINESS PERFORMANCE
TABLE 084. AMAZON WEB SERVICES: PRODUCT PORTFOLIO
TABLE 085. AMAZON WEB SERVICES: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 085. SAP SE: SNAPSHOT
TABLE 086. SAP SE: BUSINESS PERFORMANCE
TABLE 087. SAP SE: PRODUCT PORTFOLIO
TABLE 088. SAP SE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 088. OTHER MAJOR PLAYERS: SNAPSHOT
TABLE 089. OTHER MAJOR PLAYERS: BUSINESS PERFORMANCE
TABLE 090. OTHER MAJOR PLAYERS: PRODUCT PORTFOLIO
TABLE 091. OTHER MAJOR PLAYERS: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 001. YEARS CONSIDERED FOR ANALYSIS
FIGURE 002. SCOPE OF THE STUDY
FIGURE 003. MACHINE LEARNING AS A SERVICE MARKET OVERVIEW BY REGIONS
FIGURE 004. PORTER'S FIVE FORCES ANALYSIS
FIGURE 005. BARGAINING POWER OF SUPPLIERS
FIGURE 006. COMPETITIVE RIVALRYFIGURE 007. THREAT OF NEW ENTRANTS
FIGURE 008. THREAT OF SUBSTITUTES
FIGURE 009. VALUE CHAIN ANALYSIS
FIGURE 010. PESTLE ANALYSIS
FIGURE 011. MACHINE LEARNING AS A SERVICE MARKET OVERVIEW BY COMPONENT
FIGURE 012. SOLUTIONS MARKET OVERVIEW (2016-2028)
FIGURE 013. SERVICES MARKET OVERVIEW (2016-2028)
FIGURE 014. MACHINE LEARNING AS A SERVICE MARKET OVERVIEW BY APPLICATION
FIGURE 015. NATURAL LANGUAGE PROCESSING MARKET OVERVIEW (2016-2028)
FIGURE 016. MARKETING & ADVERTISING MARKET OVERVIEW (2016-2028)
FIGURE 017. FRAUD DETECTION & RISK MANAGEMENT MARKET OVERVIEW (2016-2028)
FIGURE 018. PREDICTIVE ANALYTICS MARKET OVERVIEW (2016-2028)
FIGURE 019. OTHERS MARKET OVERVIEW (2016-2028)
FIGURE 020. MACHINE LEARNING AS A SERVICE MARKET OVERVIEW BY END-USE INDUSTRY
FIGURE 021. BFSI MARKET OVERVIEW (2016-2028)
FIGURE 022. GOVERNMENT & DEFENSE MARKET OVERVIEW (2016-2028)
FIGURE 023. HEALTHCARE & LIFE SCIENCES MARKET OVERVIEW (2016-2028)
FIGURE 024. TELECOMMUNICATIONS MARKET OVERVIEW (2016-2028)
FIGURE 025. RETAIL MARKET OVERVIEW (2016-2028)
FIGURE 026. OTHERS MARKET OVERVIEW (2016-2028)
FIGURE 027. NORTH AMERICA MACHINE LEARNING AS A SERVICE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 028. EUROPE MACHINE LEARNING AS A SERVICE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 029. ASIA PACIFIC MACHINE LEARNING AS A SERVICE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 030. MIDDLE EAST & AFRICA MACHINE LEARNING AS A SERVICE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 031. SOUTH AMERICA MACHINE LEARNING AS A SERVICE MARKET OVERVIEW BY COUNTRY (2016-2028)

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Frequently Asked Questions :

What would be forecast period in the Machine Learning as a Service Market research report?

The forecast period in the Machine Learning as a Service Market research report is 2023-2030.

Who are the key players in Machine Learning as a Service Market?

Google LLC, Amazon Web Services, BigML, IBM Corporation, Intel Corporation, Microsoft Corporation, Oracle Corporation, Hewlett Packard Enterprises, AT&T, FICO, Sift-Science, Yottamine Analytics, Ersatz Labs, Amazon Web Services, SAP SE, and Other Major Players.

What are the segments of Machine Learning as a Service Market?

The Machine Learning as a Service Market is segmented into Component, Application, End-Use Industry, and Region. By Component the market is categorized into Solutions, and Services. By Application the market is categorized into Natural Language Processing, Marketing & Advertising, Fraud Detection & Risk Management, Predictive analytics, and Others. By End-Use Industry the market is categorized into BFSI, Government & Defense, Healthcare & Life Sciences, Telecommunications, Retail, and Others. By region, it is analyzed across North America (U.S.; Canada; Mexico), Europe (Germany; U.K.; France; Italy; Russia; Spain etc.), Asia-Pacific (China; India; Japan; Southeast Asia etc.), South America (Brazil; Argentina etc.), Middle East & Africa (Saudi Arabia; South Africa etc.).

What is the Machine Learning as a Service Market?

Machine Learning as a Service (MLaaS) is a collection of cloud computing services that include machine learning tools. MLaaS enables clients to benefit from machine learning without incurring the associated cost, time, and risk of establishing an internal machine learning team. MLaaS can alleviate infrastructure concerns such as data pre-processing, model training, model evaluation, and, ultimately, predictions.

How big is the Machine Learning as a Service Market?

The Global Machine Learning as a Service Market Was Estimated At USD 11.21 Billion In 2022, And Is Projected To Reach USD 128.14 Billion By 2030, Growing At A CAGR Of 35.6% Over The Analysis Period.