Global Machine Learning as a Service Market Overview
The Global Machine Learning as a Service Market Was Estimated At USD 8.27 Billion In 2021, And Is Projected To Reach USD 69.71 Billion By 2028, 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.
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 |
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Base Year: |
2021 |
Forecast Period: |
2022-2028 |
Historical Data: |
2016 to 2020 |
Market Size in 2021: |
USD 8.27 Bn. |
Forecast Period 2022-28 CAGR: |
35.6% |
Market Size in 2028: |
USD 69.71 Bn. |
Segments Covered: |
By Component |
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By Application |
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By End-Use Industry |
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By Region |
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Key Market Drivers: |
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Key Market Restraints: |
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Key Opportunities: |
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Companies Covered in the report: |
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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: |
2021 |
Forecast Period: |
2022-2028 |
Historical Data: |
2016 to 2020 |
Market Size in 2021: |
USD 8.27 Bn. |
Forecast Period 2022-28 CAGR: |
35.6% |
Market Size in 2028: |
USD 69.71 Bn. |
Segments Covered: |
By Component |
|
|
By Application |
|
||
By End-Use Industry |
|
||
By Region |
|
||
Key Market Drivers: |
|
||
Key Market Restraints: |
|
||
Key Opportunities: |
|
||
Companies Covered in the report: |
|
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)
Frequently Asked Questions :
The forecast period in the Machine Learning as a Service Market research report is 2022-2028.
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.
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.).
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.
The Global Machine Learning as a Service Market was estimated at USD 8.27 Billion in 2021, and is projected to reach USD 69.71 Billion by 2028, growing at a CAGR of 35.6% over the analysis period.