Global Machine Learning market was valued at approximately USD 1.02 billion in 2016, is anticipated to grow at a CAGR of 45.9% during the forecasted period. This lucrative market growth is attributed to increasing adoption among end-use sectors, exploding big data and the urge of organizations to utilize big data capabilities, and rapid technological developments in the industry. Moreover, increasing demand for business intelligence solutions is creating significant opportunities in the market. 

Machine learning technology enables the computer system to read and understand the data without applying any explicit code. Machine learning is being readily adopted by organizations to gain a competitive advantage as it enables them to enhance customer experience.

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Global Machine Learning Market Size Study, by Vertical (BFSI, Healthcare & Life Sciences, Retail, Telecommunication, Government & Defense, Manufacturing, Energy & Utilities), by Deployment Model (Cloud, On-premise), by Organization Size (Large Enterprise, SMEs), by Service (Professional Services, Managed Services) and Regional Forecasts, 2017-2025


Key findings of the study:

Banking, Financial Services, and Insurance(BFSI) vertical are expected to generate the highest revenue in 2016.

North America dominates the current market revenue with more than 32% revenue share in 2016.

Changing business patterns and increasing awareness for modern techniques is likely to fuel growth in Asia Pacific market, which is anticipated to grow at highest CAGR.

Google, IBM, and Baidu are leading the Machine Learning market with a combined market share of more than 22% in 2016.  


  • BFSI
    • Fraud and Risk Management
    • Investment Prediction
    • Sales and Marketing Campaign Management
    • Customer Segmentation
    • Digital Assistance
    • Others (compliance management and credit underwriting)
  • Healthcare and Life Sciences
    • Disease Identification and Diagnosis
    • Image Analytics
    • Drug Discovery/Manufacturing
    • Personalized Treatment
    • Others (clinical trial research and epidemic outbreak prediction)
  • Retail
    • Inventory Planning
    • Upsell and Cross-Channel Marketing
    • Segmentation and Targeting
    • Recommendation engines
    • Others (customer ROI and lifetime value, and customization management)
  • Telecommunication
    • Customer Analytics
    • Network Optimization
    • Network Security
    • Others (digital assistance/contact centers analytics and marketing campaign analytics)
  • Government and Defense
    • Threat Intelligence
    • Autonomous Defense system
    • Others (sustainability and operational analytics)
  • Manufacturing
    • Predictive Maintenance
    • Demand Forecasting
    • Revenue Estimation
    • Supply Chain Management
    • Others (root cause analysis and telematics)
  • Energy and Utilities
    • Power/Energy Usage Analytics
    • Seismic Data Processing
    • Smart Grid Management
    • Carbon Emission
    • Others (customer specific pricing and renewable energy management)
  • Others (Education, Agriculture, Media and Entertainment, and Education)

By Service:

  • Professional Services
  • Managed Services

Deployment Mode:

  • Cloud
  • On-premises

Organization Size:

  • SMEs
  • Large Enterprises


  • North America
    • S.
    • Canada
  • Europe
    • UK
    • Germany
    • France
  • Asia Pacific
    • China
    • India
    • Japan
  • Rest of the World

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