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Machine Learning as a Service (MLaaS) Market, by Component (Software Tools, Services), Application (Marketing and Advertising, Fraud Detection and Risk Analytics, Predictive Maintenance, Augmented Reality, Network Analytics and Automated Traffic Management, Others), Organization Size (Small and Medium Enterprises, Large Enterprises), Vertical (Education, Banking and Financial Services, Insurance, Automotive and Transportation, Healthcare, Defense, Retail and E-Commerce, Media and Entertainment, Telecom, Others) – Global Revenue, Trends, Growth, Share, Size and Forecast to 2022

ICT237 June 2017 100+ FREE 10% CUSTOMIZATION

The containers have been introduced over more than a decade ago. At present, it is becoming the hottest trend in data center virtualization. In early days, most of the software applications used to run on a separate operating system (OS), but now the new feature of containers enables all the components to run on the single OS. Container as a Service (CaaS) is the cloud provider's container support service, which provides users with container engines, orchestration, and the computational resources to run an application on a server. It is placed between IaaS and PaaS. The container provides isolation of application, micro-services, and their configuration from the underlying OS. The major software companies such as Amazon, Google, and IBM are already in the market and are investing in the growth of the technology.

The report on the global Machine learning as a service (MLaaS) market uses the top-down and bottom-up approaches to define, analyze, and describe the market trends for the next five years. The report also tracks the emerging applications, innovative technologies, and mergers & acquisitions. It also focuses on the growth drivers and restraints for the key market players during the forecast period.

KEY BENEFITS OF THE REPORT

  • In-depth analysis of the market ecosystem and its impact on the revenue growth
  • Understanding of the strategies that are being adopted by the key players in this market to stay competitive
  • Valuable insights into the key technological and market trends impacting this market

KEY PREMIUM INDUSTRY INSIGHTS

  • Major markets drivers for Machine learning as Service (MLaaS) market increased volume of data and diversity in the data available which need to be studied qualitatively. The other driver for Machine learning as service market was data storage became more affordable and cheaper.
  • The other major market driver for the Machine learning as Service market (MLaaS) is Recommendation systems which are used across a wide range of industries, most notably online shopping sites which help organization to get deeper insights about the customer behavior by helping them discover new and relevant offers thereby leading to stronger customer relationships and higher sales for the business.
  • The other major factor driving Machine learning as Service market (MLaaS) is some organizations need to make important decision during real time where machine learning models provide best predictions.
  • The biggest challenge in adopting Machines Learning as Service (MLaaS) by many organizations was the “cold start” problem wherein they lack the historical data needed to provide recommendations where in organization first create a feedback lack that test user responses in order to make further recommendations which can improve over time.

On the basis of geography, the market may be categorized into regions such as North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa. North America region is dominant in Machine Learning as a Service Market due to growing demand from large enterprises and startup companies in North America and followed by Western Europe during the period. Asia-Pacific region is expected to grow at a faster rate during the forecast period. Researchers project this regional market to retain its leadership throughout the forecast period on the ground of the escalating need for Internet of Things (IoT), swift integration of MLaaS with big data, and other advanced technologies, states the market report.

RESEARCH METHODOLOGY

The research methodology for Scalar Market Research’s machine learning as a service (MLaaS) market report utilizes a combination of top-down and bottom-up research formats. Our primary focus on continuous market tracking, rigorous fact-checking, data-triangulation, and multiple layers of quality control ensures high-quality data that can be leveraged for actionable research insights.

To know about the assumptions considered for the study, Download PDF Sample.

MARKET SEGMENTATION

This report analyzes the machine learning as a service (MLaaS) market by the following segments:

  • Machine Learning as a Service Market Analysis, by Component
    • Software Tools
    • Services
  • Machine Learning as a Service Market Analysis, by Application
    • Marketing and Advertising
    • Fraud Detection and Risk Analytics
    • Predictive Maintenance
    • Augmented Reality
    • Network Analytics and Automated Traffic Management
    • Others
  • Machine Learning as a Service Market Analysis, by Organization Size
    • Small and Medium Enterprises
    • Large Enterprises
  • Machine Learning as a Service Market Analysis, by Vertical
    • Education
    • Banking and Financial Services
    • Insurance
    • Automotive and Transportation
    • Healthcare
    • Defense
    • Retail and E-Commerce
    • Media and Entertainment
    • Telecom
    • Others

KEY MARKET PLAYERS

Key players in the machine learning as a service (MLaaS) market include:

  • Microsoft 
  • International Business Machine Corporation 
  • Amazon Web Services 
  • Google, Inc. 
  • BigML, Inc. 
  • FICO 
  • Hewlett-Packard Enterprise Development Lp.

GEOGRAPHIC COVERAGE AND ANALYSIS

This granular market research report covers the following geographic regions in great detail:

  • NORTH AMERICA
    • U.S.
    • Rest of North America
  • EUROPE
    • France
    • Germany
    • U.K.
    • Rest of Europe
  • ASIA-PACIFIC
    • China
    • India
    • Japan
    • Rest of Asia-Pacific
  • MIDDLE EAST & AFRICA
    • GCC
    • North Africa
    • South Africa
    • Rest of Middle East & Africa
  • LATIN AMERICA
    • Brazil
    • Rest of Latin America

TRENDING RELATED REPORT

Disaster Recovery as a Service (DRaaS) Market, By Service (Real-time Replication, Backup, Data Security, Professional Services), Service Providers (Cloud Service Providers, Managed Service Providers, Telecommunication Service Providers), Deployment (On-Premise, Cloud), Organization Size (Small Enterprises, Medium Enterprises, Large Enterprises), Vertical (Government, BFSI, Retail, Healthcare, Manufacturing, Hospitality & Entertainment, Transportation & Logistics, and Telecom & IT) - Global Revenue, Trends, Growth, Share, Size and Forecast to 2022


  1. MARKET OVERVIEW
    1. Market Definitions
    2. Research Methodology
    3. Market Segmentation
  2. EXECUTIVE SUMMARY
  3. MARKET DYNAMICS
    1. Drivers
    2. Restraints
    3. Opportunities
    4. Premium Industry Trends
  4. INDUSTRY ANALYSIS
    1. Value Chain Analysis
    2. Technology Roadmap
  5. MACHINE LEARNING AS A SERVICE MARKET ANALYSIS, BY COMPONENT
    1. Segment Share
    2. By Component
      1. Software Tools
      2. Services
  6. MACHINE LEARNING AS A SERVICE MARKET ANALYSIS, BY APPLICATION
    1. Segment share
    2. By Application
      1. Marketing and Advertising
      2. Fraud Detection and Risk Analytics
      3. Predictive Maintenance
      4. Augmented Reality
      5. Network Analytics and Automated Traffic Management
      6. Others
  7. MACHINE LEARNING AS A SERVICE MARKET ANALYSIS, BY ORGANIZATION SIZE
    1. Segment Share
    2. By Organization Size
      1. Small and Medium Enterprises
      2. Large Enterprises
  8. MACHINE LEARNING AS A SERVICE MARKET, ANALYSIS, BY VERTICAL
    1. Segment Share
    2. By Vertical
      1. Education
      2. Banking and Financial Services
      3. Insurance
      4. Automotive and Transportation
      5. Healthcare
      6. Defense
      7. Retail and E-Commerce
      8. Media and Entertainment
      9. Telecom
      10. Others
  9. MACHINE LEARNING AS A SERVICE MARKET, BY GEOGRAPHY
    1. Segment Share
    2. North America
      1. By Regions
        1. U.S.
        2. Rest of North America
      2. By Component
      3. By Application
      4. By Organization Size
      5. By Vertical
    3. Europe
      1. By Region
        1. France
        2. Germany
        3. U.K.
        4. Rest of Europe
      2. By Component
      3. By Application
      4. By Organization Size
      5. By Vertical
    4. Asia-Pacific
      1. By Region
        1. China
        2. India
        3. Japan
        4. Rest of Asia-Pacific
      2. By Component
      3. By Application
      4. By Organization Size
      5. By Vertical
    5. Middle East & Africa
      1. By Region
        1. GCC
        2. North Africa
        3. South Africa
        4. Rest of Middle East & Africa
      2. By Component
      3. By Application
      4. By Organization Size
      5. By Vertical
    6. Latin America
      1. By Region
        1. Brazil
        2. Rest of Latin America
      2. By Component
      3. By Application
      4. By Organization Size
      5. By Vertical
  10. COMPETITIVE LANDSCAPE
    1. Market Positioning of Key Players, 2016
    2. Key Innovators
  11. KEY MARKET PLAYERS
    1. Microsoft 
      1. Overview
      2. Key Strategies
      3. Key Developments
    2. International Business Machine Corporation 
      1. Overview
      2. Key Strategies
      3. Key Developments
    3. Amazon Web Services 
      1. Overview
      2. Key Strategies
      3. Key Developments
    4. Google, Inc. 
      1. Overview
      2. Key Strategies
      3. Key Developments
    5. BigML, Inc. 
      1. Overview
      2. Key Strategies
      3. Key Developments
    6. FICO 
      1. Overview
      2. Key Strategies
      3. Key Developments
    7. Hewlett-Packard Enterprise Development Lp.
      1. Overview
      2. Key Strategies
      3. Key Developments
  12. SCALAR 360 DEGREE MARKET PERSPECTIVE
  13. APPENDIX
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