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Machine Learning Market, by Vertical (BFSI, Healthcare and Life Sciences, Retail, Telecommunication, Government and Defense, Manufacturing, Energy and Utilities, Others), Service (Professional Services, Managed Services), Deployment Mode (Cloud, On-premises), Organization Size (SMEs, Large Enterprises) – Global Revenue, Trends, Growth, Share, Size and Forecast to 2022

ICT282 September 2017 100+ FREE 10% CUSTOMIZATION

Over the years, the applications of machine learning have increased and spread to various verticals. Machine learning helps organizations to increase productivity and to cut costs for managing and maintaining machines. Machine learning is extremely beneficial in predictive analysis; hence, it is high in demand in banking and financial services. Key market players are collaborating to improve the technology and improve business operations. This report studies the current and future aspects of machine learning market.

The report on the global machine learning 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

  • The machine learning market is gaining popularity among corporates worldwide to enhance customer experience, increase the company’s ROI and to gain business operations. In addition, factors like advancement in technologies and proliferation in data generation is driving the market growth further.
  • Machine learning offers various benefits such as flexibility, software updates, disaster recovery, increased collaboration, data loss prevention, robust cloud storage facilities, and so on, which is contributing towards the machine leaning market. Rise in cyber-attacks and digitalization with regards to important business information and data is promoting the market growth.
  • However, most of the organizations incorporate machine learning; however, there is lack of skilled employees including analytical talent. This factor is hampering the market growth.

The machine learning market is divided into five major geographical segments which are North America, Europe, Asia-Pacific, Middle East & Africa and Latin America. The North America region holds the highest market share and is the largest revenue contributor for the machine learning market. The region continues to dominate during the forecasted period because of high focus on research and development initiatives to innovate the machine learning technology. The next in line is the Asia-Pacific region which is witnessing a rapid market growth. This growth is because of increased awareness for benefits related to machine learning such as increase in business productivity, improved efficiency, and helps in lowering overall costs.

RESEARCH METHODOLOGY

The research methodology for Scalar Market Research’s machine learning 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 market by the following segments:

  • Machine Learning Market, by Vertical
    • BFSI
    • Healthcare and Life Sciences
    • Retail
    • Telecommunication
    • Government and Defense
    • Manufacturing
    • Energy and Utilities
    • Others
  • Machine Learning Market, by Service
    • Professional Services
    • Managed Services
  • Machine Learning Market, by Deployment Model
    • Cloud
    • On-premises
  • Machine Learning Market, by Organization Size
    • SMEs
    • Large Enterprises

KEY MARKET PLAYERS

Key players in the machine learning market include:

  • International Business Machines Corporation
  • Microsoft Corporation
  • SAP SE
  • Sas Institute Inc.
  • Amazon Web Services, Inc.
  • Bigml, Inc.
  • Google Inc.
  • Fair Isaac Corporation
  • Baidu, Inc.
  • 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

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  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 MARKET, BY VERTICAL
    1. Segment Share
    2. By Vertical
      1. BFSI
      2. Healthcare and Life Sciences
      3. Retail
      4. Telecommunication
      5. Government and Defense
      6. Manufacturing
      7. Energy and Utilities
      8. Others
  6. MACHINE LEARNING MARKET, BY SERVICE
    1. Segment Share
    2. By Service
      1. Professional Services
      2. Managed Services
  7. MACHINE LEARNING MARKET, BY DEPLOYMENT MODEL
    1. Segment Share
    2. By Deployment Model
      1. Cloud
      2. On-premises
  8. MACHINE LEARNING MARKET, BY ORGANIZATION SIZE
    1. Segment Share
    2. By Organization Size
      1. SMEs
      2. Large Enterprises
  9. MACHINE LEARNING MARKET, BY GEOGRAPHY
    1. Segment Share
    2. North America
      1. By Regions
        1. U.S.
        2. Rest of North America
      2. By Vertical
      3. By Service
      4. By Deployment Model
      5. By Organization Size
    3. Europe
      1. By Region
        1. France
        2. Germany
        3. U.K.
        4. Rest of Europe
      2. By Vertical
      3. By Service
      4. By Deployment Model
      5. By Organization Size
    4. Asia-Pacific
      1. By Region
        1. China
        2. India
        3. Japan
        4. Rest of Asia-Pacific
      2. By Vertical
      3. By Service
      4. By Deployment Model
      5. By Organization Size
    5. Middle East & Africa
      1. By Region
        1. GCC
        2. North Africa
        3. South Africa
        4. Rest of Middle East & Africa
      2. By Vertical
      3. By Service
      4. By Deployment Model
      5. By Organization Size
    6. Latin America
      1. By Region
        1. Brazil
        2. Rest of Latin America
      2. By Vertical
      3. By Service
      4. By Deployment Model
      5. By Organization Size
  10. COMPETITIVE LANDSCAPE
    1. Market Positioning of Key Players, 2016
    2. Key Innovators
  11. KEY MARKET PLAYERS
    1. International Business Machines Corporation
      1. Overview
      2. Key Strategies
      3. Key Developments
    2. Microsoft Corporation
      1. Overview
      2. Key Strategies
      3. Key Developments
    3. SAP SE
      1. Overview
      2. Key Strategies
      3. Key Developments
    4. Sas Institute Inc.
      1. Overview
      2. Key Strategies
      3. Key Developments
    5. Amazon Web Services, Inc.
      1. Overview
      2. Key Strategies
      3. Key Developments
    6. Bigml, Inc.
      1. Overview
      2. Key Strategies
      3. Key Developments
    7. Google Inc.
      1. Overview
      2. Key Strategies
      3. Key Developments
    8. Fair Isaac Corporation
      1. Overview
      2. Key Strategies
      3. Key Developments
    9. Baidu, Inc.
      1. Overview
      2. Key Strategies
      3. Key Developments
    10. 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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