HOME Top Market Reports Machine Learning as a Service (MLaaS) Market by Component (Software Tools, Services), Organization Size, Application (Marketing, Risk Analytics & Fraud Detection, Predictive Maintenance, Network Analytics), Service and Region - Global Forecast to 2021

Machine Learning as a Service (MLaaS) Market by Component (Software Tools, Services), Organization Size, Application (Marketing, Risk Analytics & Fraud Detection, Predictive Maintenance, Network Analytics), Service and Region - Global Forecast to 2021

By: marketsandmarkets.com
Publishing Date: November 2016
Report Code: TC 4696

 

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The Machine Learning as a Service Market size is estimated to grow from USD 613.4 Million in 2016 to USD 3,755.0 Million by 2021, at a Compound Annual Growth Rate (CAGR) of 43.7% from 2016 to 2021.  The base year considered for the report is 2015 and the forecast period is 2016–2021.

Objectives of the study:

The main objective of this report is to define, describe, and forecast the global Machine Learning as a Service Market on the basis of components, which include solutions/tools, services, and service models, along with application areas and regions. The report provides detailed information regarding the major factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges). The report attempts to forecast the market size with respect to five main regions, namely, North America, Europe, Asia-Pacific (APAC), Latin America, and Middle East & Africa (MEA). The report strategically profiles key players and comprehensively analyzes their core competencies. This report also tracks and analyzes competitive developments such as joint ventures, Mergers and Acquisitions (M&A), new product developments, and Research & Development (R&D) activities in the MLaaS market.

The research methodology used to estimate and forecast the Machine Learning as a Service Market begins with collection and analysis of data on key vendor revenues through secondary research such as annual reports and press releases, investor presentations of companies, white papers, technology journals including SDxCentral, MLaaS evolution, certified publications, and articles from recognized authors, directories, and databases. The vendor offerings have also been taken into consideration to determine the market segmentation. The bottom-up procedure was employed to arrive at the total market size of the global MLaaS market from the revenue of the key solution and service providers in the market. After arriving at the overall market size, the total market was split into several segments and subsegments, which were then verified through primary research by conducting extensive interviews with key people, such as CEOs, VPs, directors, and executives. The data triangulation and market breakdown procedures were employed to complete the overall market engineering process and to arrive at the exact statistics for all segments and subsegments. The breakdown of profiles of primary is depicted in the below figure:

Machine Learning as a Service (MLaaS) Market

To know about the assumptions considered for the study, download the pdf brochure

The MLaaS ecosystem comprises Microsoft (U.S.), IBM (U.S.), Amazon Web Services (U.S.), Google (U.S.), and BigML (U.S.). The other companies profiled in the report include AT&T (U.S.), Fuzzy.ai (Canada), Yottamine Analytics (U.S.), Ersatz Labs, Inc. (U.S.), and Sift Science, Inc. (U.S.).

Key Target Audience

  • Machine learning/Artificial Intelligence (AI) solution and service providers
  • System integrators
  • Enterprise data center professionals
  • End users/consumers/enterprise users
  • Telecommunication providers
  • Mobile network operators
  • Cloud service providers
  • Data center software vendors
  • IoT device/wearable device manufacturers
  • Cognitive and AI technology experts/providers
  • Analytics providers
  • Managed service providers
  • Consultants
  • Training and education service providers

“Study answers several questions for the stakeholders, primarily which market segments to focus in next two to five years for prioritizing the efforts and investments.”

Scope of the Report

The research report segments the market into the following submarkets:

By Component

  • Software tools
    • Data storage and archiving
    • Modeler and processing
  • Cloud and web-based Application Programming Interface (APIs)
  • Others (model validator, decision report/predictor/training, and report storage)

By Service:

  • Professional services
  • Managed services

By Enterprise Application:

  • Marketing and advertising
  • Risk analytics and fraud detection
  • Predictive maintenance (pattern recognition & generation and anomaly detection)
  • Augmented reality (pattern recognition & generation, object recognition, automated simulation, and prediction/recommendation)
  • Network analytics and automated traffic management (SDN and NFV/automated traffic generation)
  • Others (data classification, recommendation engines, social media and customer analytics, and sales lifecycle management)

By Organization Size:

  • Small and Medium Enterprises (SMEs)
  • Large enterprises

By Region:

  • North America
  • Europe
  • Asia-Pacific (APAC)
  • Rest of the World (RoW)

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Geographic Analysis

  • Further breakdown of the European MLaaS market
  • Further breakdown of the APAC MLaaS market

Company Information

  • Detailed analysis and profiling of additional market players

Table of Contents

1 Introduction (Page No. - 14)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
           1.3.1 Markets Covered
           1.3.2 Years Considered
    1.4 Currency
    1.5 Limitations
    1.6 Stakeholders

2 Research Methodology (Page No. - 18)
    2.1 Research Data
           2.1.1 Secondary Data
                     2.1.1.1 Key Data From Secondary Sources
           2.1.2 Primary Data
                     2.1.2.1 Data From Primary Sources
                     2.1.2.2 Key Industry Insights
                     2.1.2.3 Breakdown of Primaries
    2.2 Market Size Estimation
           2.2.1 Bottom-Up Approach
           2.2.2 Top-Down Approach
    2.3 Market Breakdown and Data Triangulation
    2.4 Research Assumptions

3 Executive Summary (Page No. - 26)

4 Premium Insights (Page No. - 31)
    4.1 Attractive Opportunities in the Machine Learning as a Service Market
    4.2 Market: Enterprise Applications
    4.3 Global Market, By Region and Industry Vertical
    4.4 Market Potential
    4.5 Lifecycle Analysis, By Region, 2016

5 Market Overview (Page No. - 34)
    5.1 Introduction
    5.2 Market Segmentation
           5.2.1 By Component
           5.2.2 By Organization Size
           5.2.3 By Enterprise Application
           5.2.4 By Industry Vertical
           5.2.5 By Region
    5.3 Market Dynamics
           5.3.1 Drivers
                     5.3.1.1 Adoption of Cloud-Based Technologies
                     5.3.1.2 Strong Need to Understand Customer Behavior
                     5.3.1.3 Advancements in Technologies
           5.3.2 Restraints
                     5.3.2.1 Government and Compliance Issues
                     5.3.2.2 Lack of Skilled Consultants to Deploy Machine Learning Services
           5.3.3 Opportunities
                     5.3.3.1 Emerging Options in Application Areas
                     5.3.3.2 Increasing Investments in the Healthcare Industry
                     5.3.3.3 Improved Connectivity and Increase in Data From IoT Platforms
           5.3.4 Challenges
                     5.3.4.1 Need for Effective Predictive Technologies
                     5.3.4.2 Integration Into the Enterprises

6 Industry Trends (Page No. - 43)
    6.1 Introduction
    6.2 Machine Learning as a Service: Evolution
    6.3 Machine Learning as a Service: Value Chain Analysis
    6.4 Standards and Regulations
           6.4.1 Introduction
           6.4.2 Cloud Computing Association (CCA)
           6.4.3 Storage Networking Industry Association (SNIA)
           6.4.4 International Organization for Standardization
           6.4.5 International Telecommunication Union

7 Machine Learning as a Service Market Analysis, By Component (Page No. - 47)
    7.1 Introduction
    7.2 Software Tools
           7.2.1 Data Storage and Archiving
           7.2.2 Modeler and Processing
           7.2.3 Cloud and Web-Based Application Programming Interface
           7.2.4 Others
    7.3 Services
           7.3.1 Professional Services
           7.3.2 Managed Services

8 Machine Learning as a Service Market Analysis, By Application (Page No. - 58)
    8.1 Introduction
    8.2 Marketing and Advertising
    8.3 Fraud Detection and Risk Analytics
    8.4 Predictive Maintenance
    8.5 Augmented Reality
    8.6 Network Analytics and Automated Traffic Management
    8.7 Others

9 Machine Learning as a Service Market Analysis, By Organization Size (Page No. - 69)
    9.1 Introduction
    9.2 Small and Medium Enterprises
    9.3 Large Enterprises

10 Machine Learning as a Service Market Analysis, By Vertical (Page No. - 73)
     10.1 Introduction
     10.2 Education
     10.3 Banking and Financial Services
     10.4 Insurance
     10.5 Automotive and Transportation
     10.6 Healthcare
     10.7 Defense
     10.8 Retail and E-Commerce
     10.9 Media and Entertainment
     10.10 Telecom
     10.11 Others

11 Geographic Analysis (Page No. - 83)
     11.1 Introduction
     11.2 Geographical Segment
               11.2.1 North America
               11.2.2 Europe
               11.2.3 Asia-Pacific
               11.2.4 Rest of the World (RoW)

12 Competitive Landscape (Page No. - 100)
     12.1 Overview
     12.2 Competitive Situation and Trends
               12.2.1 New Product Launches and Enhancements
               12.2.2 Partnerships, Agreements, and Collaborations
               12.2.3 Mergers and Acquisitions
               12.2.4 Business Expansions

13 Company Profiles (Page No. - 105)
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
     13.1 Introduction
     13.2 Microsoft
     13.3 International Business Machine Corporation
     13.4 Amazon Web Services
     13.5 Google, Inc.
     13.6 BigML, Inc.
     13.7 FICO
     13.8 Hewlett-Packard Enterprise Development Lp.

*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.

14 Key Innovators (Page No. - 126)
     14.1 AT&T
     14.2 Fuzzy.Ai
     14.3 Yottamine Analytics, LLC
     14.4 Ersatz Labs, Inc.
     14.5 Sift Science, Inc.

15 Appendix (Page No. - 129)
     15.1 Industry Experts
     15.2 Discussion Guide
     15.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     15.4 Introducing RT: Real-Time Market Intelligence
     15.5 Related Reports


List of Tables (72 Tables)

Table 1 Machine Learning as a Service Market Size, By Region, 2014–2021 (USD Billion)
Table 2 Market Size, By Component, 2014–2021 (USD Million)
Table 3 Market Size, By Software Tool, 2014–2021 (USD Million)
Table 4 Data Storage and Archiving: Market Size, By Organization Size, 2014–2021 (USD Million)
Table 5 Data Storage and Archiving: Market Size, By Region, 2014–2021 (USD Million)
Table 6 Modeler and Processing: Market Size, By Organization Size, 2014–2021 (USD Million)
Table 7 Modeler and Processing: Machine Learning as a Service Market Size, By Region, 2014–2021 (USD Million)
Table 8 Cloud and Web-Based Application Programming Interfaces: Market Size, By Organization Size, 2014–2021 (USD Million)
Table 9 Cloud and Web-Based Application Programming Interfaces: Market Size, By Region, 2014–2021 (USD Million)
Table 10 Others: Machine Learning as a Service Market Size, By Organization Size, 2014–2021 (USD Million)
Table 11 Others: Market Size, By Region, 2014–2021 (USD Million)
Table 12 Market Size, By Service, 2014–2021 (USD Million)
Table 13 Professional Services: Market Size, By Organization Size, 2014–2021 (USD Million)
Table 14 Professional Services: Market Size, By Region, 2014–2021 (USD Million)
Table 15 Managed Services: Market Size, By Organization Size, 2014–2021 (USD Million)
Table 16 Managed Services: Market Size, By Region, 2014–2021 (USD Million)
Table 17 Machine Learning as a Service Market Size, By Enterprise Application, 2014–2021 (USD Million)
Table 18 Marketing and Advertising: Market Size, By Vertical, 2014–2021 (USD Million)
Table 19 Marketing and Advertising: Market Size, By Region, 2014–2021 (USD Million)
Table 20 Fraud Detection and Risk Analytics: Market Size, By Vertical, 2014–2021 (USD Million)
Table 21 Fraud Detection and Risk Analytics: Market Size, By Region, 2014–2021 (USD Million)
Table 22 Predictive Maintenance: Machine Learning as a Service Market Size, By Vertical, 2014–2021 (USD Million)
Table 23 Predictive Maintenance: Market Size, By Region, 2014–2021 (USD Million)
Table 24 Augmented Reality: Market Size, By Vertical, 2014–2021 (USD Million)
Table 25 Augmented Reality: Market Size, By Region, 2014–2021 (USD Million)
Table 26 Network Analytics and Automated Traffic Management: Machine Learning as a Service Market Size, By Vertical, 2014–2021 (USD Million)
Table 27 Network Analytics and Automated Traffic Management: Market Size, By Region, 2014–2021 (USD Million)
Table 28 Others: Market Size, By Vertical, 2014–2021 (USD Million)
Table 29 Others: Market Size, By Region, 2014–2021 (USD Million)
Table 30 Market Size, By Organization Size, 2014–2021 (USD Million)
Table 31 Small and Medium Enterprises: Machine Learning as a Service Market Size, By Region, 2014–2021 (USD Million)
Table 32 Large Enterprises: Market Size, By Region, 2014–2021 (USD Million)
Table 33 Market Size, By Vertical, 2014–2021 (USD Million)
Table 34 Education: Market Size, By Region, 2014–2021 (USD Million)
Table 35 Banking and Financial Services: Market Size, By Region, 2014–2021 (USD Million)
Table 36 Insurance: Machine Learning as a Service Market Size, By Region, 2014–2021 (USD Million)
Table 37 Automotive and Transportation: Market Size, By Region, 2014–2021 (USD Million)
Table 38 Healthcare: Market Size, By Region, 2014–2021 (USD Million)
Table 39 Defense: Market Size, By Region, 2014–2021 (USD Million)
Table 40 Retail and E-Commerce: Machine Learning as a Service Market Size, By Region, 2014–2021 (USD Million)
Table 41 Media and Entertainment: Market Size, By Region, 2014–2021 (USD Million)
Table 42 Telecom: Market Size, By Region, 2014–2021 (USD Million)
Table 43 Others: Market Size, By Region, 2014–2021 (USD Million)
Table 44 Market Size, By Region, 2014–2021 (USD Million)
Table 45 North America: Machine Learning as a Service Market Size, By Component, 2014–2021 (USD Million)
Table 46 North America: Market Size, By Software Tool, 2014–2021 (USD Million)
Table 47 North America: Market Size, By Service, 2014–2021 (USD Million)
Table 48 North America: Market Size, By Organization Size, 2014–2021 (USD Million)
Table 49 North America: Market Size, By Enterprise Application, 2014–2021 (USD Million)
Table 50 North America: Market Size, By Vertical, 2014–2021 (USD Million)
Table 51 Europe: Machine Learning as a Service Market Size, By Component, 2014–2021 (USD Million)
Table 52 Europe: Market Size, By Software Tool, 2014–2021 (USD Million)
Table 53 Europe: Market Size, By Service, 2014–2021 (USD Million)
Table 54 Europe: Market Size, By Organization Size, 2014–2021 (USD Million)
Table 55 Europe: Market Size, By Enterprise Application, 2014–2021 (USD Million)
Table 56 Europe: Market Size, By Vertical, 2014–2021 (USD Million)
Table 57 Asia-Pacific: Machine Learning as a Service Market Size, By Component, 2014–2021 (USD Million)
Table 58 Asia-Pacific: Market Size, By Software Tool, 2014–2021 (USD Million)
Table 59 Asia-Pacific: Market Size, By Service, 2014–2021 (USD Million)
Table 60 Asia-Pacific: Market Size, By Organization Size, 2014–2021 (USD Million)
Table 61 Asia-Pacific: Market Size, By Enterprise Application, 2014–2021 (USD Million)
Table 62 Asia-Pacific: Market Size, By Vertical, 2014–2021 (USD Million)
Table 63 Rest of the World: Machine Learning as a Service Market Size, By Component, 2014–2021 (USD Million)
Table 64 Rest of the World: Market Size, By Software Tool, 2014–2021 (USD Million)
Table 65 Rest of the World: Market Size, By Service, 2014–2021 (USD Million)
Table 66 Rest of the World: Market Size, By Organization Size, 2014–2021 (USD Million)
Table 67 Rest of the World: Market Size, By Enterprise Application, 2014–2021 (USD Million)
Table 68 Rest of the World: Market Size, By Vertical, 2014–2021 (USD Million)
Table 69 New Product Launches and Enhancements, 2014–2016
Table 70 Partnerships, Agreements, and Collaborations, 2014–2016
Table 71 Mergers and Acquisitions, 2014–2016
Table 72 Business Expansions, 2014–2016
 
 
List of Figures (51 Figures)
 
Figure 1 Markets Covered
Figure 2 Global Machine Learning as a Service Market: Research Design
Figure 3 Market Size Estimation Methodology: Bottom-Up Approach
Figure 4 Market Size Estimation Methodology: Top-Down Approach
Figure 5 Market Breakdown and Data Triangulation
Figure 6 North America is Expected to Lead the Adoption Trend for Machine Learning as a Service Market
Figure 7 Top Enterprise Applications for Market in 2016
Figure 8 Market Snapshot (2016–2021): Software Tools and Services
Figure 9 Market Snapshot (2015 vs 2020): Software Tools
Figure 10 Market Snapshot (2015 vs 2020): Services
Figure 11 Cloud-Based Open-Source Platform is Driving the Machine Learning as a Service Market
Figure 12 Network Analytics AMD Automated Traffic Management is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 13 Retail and E-Commerce Vertical is Expected to Hold the Largest Market Share in the Machine Learning as a Service Market
Figure 14 North America is Expected to Have the Highest Growth Potential During the Forecast Period
Figure 15 Regional Lifecycle: Asia-Pacific is Expected to Be in the Growth Phase in 2015
Figure 16 Market Segmentation: By Component
Figure 17 Market Segmentation: By Organization Size
Figure 18 Market Segmentation: By Enterprise Application
Figure 19 Market Segmentation: By Industry Vertical
Figure 20 Market Segmentation: By Region
Figure 21 Machine Learning as a Service Market: Drivers, Restraints, Opportunities, and Challenges
Figure 22 Machine Learning as a Service Evolution From 1950 to 2015
Figure 23 Value Chain Analysis
Figure 24 Machine Learning as a Service: Component
Figure 25 Global Machine Learning as a Service: Software Tools and Services Adoption Trend 2016 vs 2021
Figure 26 Cloud and Web-Based Application Programming Interfaces Segment is Expected to Be the Fastest Growing in the Machine Learning as a Service Market
Figure 27 Managed Services Segment is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 28 Network Analytics and Automated Traffic Management is Expected to Witness the Highest Adoption in the Forecast Period
Figure 29 Small and Medium Enterprises Segment is Projected to Grow at the Highest CAGR During the Forecast Period
Figure 30 Healthcare Vertical is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 31 North America is Projected to Exhibit the Highest Growth Rate in the Machine Learning as a Service Market, 2016 - 2021
Figure 32 North America and Europe are the Most Attractive Markets for Investments, 2016-2021
Figure 33 North America Expected to Grow at the Highest CAGR, 2016-2021
Figure 34 North America Market Snapshot
Figure 35 Europe Market Snapshot
Figure 36 Asia-Pacific Market Snapshot
Figure 37 Companies Adopted Partnerships and Agreements as the Key Growth Strategy From 2013–2016
Figure 38 Market Evaluation Framework
Figure 39 Battle for Market Share: New Product Launches and Upgradations Was the Key Growth Strategy of the MLaaS Market
Figure 40 Geographic Revenue Mix of Top Players
Figure 41 Microsoft: Company Snapshot
Figure 42 Microsoft: SWOT Analysis
Figure 43 International Business Machine Corporation: Company Snapshot
Figure 44 International Business Machine Corporation: SWOT Analysis
Figure 45 Amazon Web Services: Company Snapshot
Figure 46 Amazon Web Services: SWOT Analysis
Figure 47 Google, Inc.: Company Snapshot
Figure 48 Google, Inc.: SWOT Analysis
Figure 49 BigML Inc.: SWOT Analysis
Figure 50 FICO: Company Snapshot
Figure 51 Hewlett Packard Enterprise Development LP: Company Snapshot

The Machine Learning as a Service Market size is estimated to grow from USD 613.4 Million in 2016 to USD 3,755.0 Million by 2021, at a Compound Annual Growth Rate (CAGR) of 43.7% from 2016 to 2021.  The main driving factors for the growth of the market are adoption of cloud-based technologies and advancements in technologies.

Among Machine Learning as a Service Market services, the professional services segment is the largest contributor during the forecast period, whereas the managed services segment is expected to grow at the highest CAGR. Professional services include consulting & integration, support & maintenance, and network security services & analytics, which are increasing the growth and awareness of MLaaS as the biggest use case of NFV technology.

Among the enterprises segment, the defense industry is expected to be the second largest contributor during the forecast period. This industry is adopting Machine Learning as a Service Market solutions to leverage on the real-time data generation and pattern recognition features. The digitalization and revolution of connecting the world virtually has led to the generation of huge amounts of data in the IT industry, thereby boosting the adoption of MLaaS solutions in the market.

North America is expected to be the fastest growing region during the forecast period; the   adoption of MLaaS solutions in this region is expected to be fueled by the increasing need for integration of MLaaS with big data, Internet of Things (IoT), and other advanced technologies. Another reason for the growing demand for MLaaS solutions is the rapid expansion of enterprises in the North American region. North America is expected to lead the Machine Learning as a Service Market as the region includes countries with well-established economies, which allow maximum investment in new technologies.

Machine Learning as a Service (MLaaS) Market

Governance and compliance issues and lack of skilled workforce and limited knowledge among end users are the factors hindering the growth of the Machine Learning as a Service Market. As the maintenance of MLaaS solutions needs skilled data scientists with prior experience in managing machine learning solutions, there is a need to educate customers and define the actual importance of MLaaS. Virtualization solution providers compete to offer the best innovative and improved solutions, which reduces the risk associated with data storage in cloud environment. The dominant market players in the MLaaS market have adopted partnerships and new product innovations & advancements to maintain their positions in the MLaaS market.

AT&T (Texas, U.S.), Fuzzy.ai (California, U.S.), Yottamine Analytics LLC (Washington, U.S.), Ersatz Labs (California, U.S.), Sift Science Inc. (California, U.S.) are the major key innovators. The companies have majorly adopted the strategy of new product launches and upgradations, mergers and acquisitions, and partnerships, agreements, & collaborations to achieve growth in the MLaaS market. The strategy of new product launches/upgradation and mergers & acquisitions accounted for the share of 47.8% and 34.8%, respectively, of the total strategic developments, in the global Machine Learning as a Service Market.

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