Global Machine Learning Market 2018 Size, Share, Growth, Trends, Type, Application, Analysis and Forecast by 2025

“Machine Learning Market”
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Machine Learning Market:

Executive Summary

Global Machine Learning industry valued approximately USD 1.02 billion in 2016 is anticipated to grow with a healthy growth rate of more than 45.9 % over the forecast period 2017-2025. 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 competitive advantage as it enables them to enhance customer experience. Major drivers of the market are increasing adoption among end use sectors, exploding big data and the urge of organizations to utilize big data capabilities and technological advancements. However lack of skilled employees is the key factor which is restraining the growth of the market.

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

Verticals:

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)

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By Service:

Professional Services

Managed Services

Deployment Mode:

  • Cloud
  • On-premises

Organization Size:

  • SMEs
  • Large Enterprises

Furthermore, years considered for the study are as follows:

  • Historical year – 2015
  • Base year – 2016
  • Forecast period – 2017 to 2025

Some of the key manufacturers involved in the market Microsoft Corporation, SAP SE, Amazon Web Services, Inc, Google Inc, and Bigml, Inc. Acquisitions and effective mergers are some of the strategies adopted by the key manufacturers. New product launches and continuous technological innovations are the key strategies adopted by the major players.

Target Audience of the Machine Learning Market Study:

  • Key Consulting Companies & Advisors
  • Large, medium-sized, and small enterprises
  • Venture capitalists
  • Value-Added Resellers (VARs)
  • Third-party knowledge providers
  • Investment bankers
  • Investors

Table of Content

Chapter 1. Research Methodology 
    1.1. Research Process 
      1.1.1. Data Mining 
      1.1.2. Analysis 
      1.1.3. Market Estimation 
      1.1.4. Validation 
      1.1.5. Publishing 
    1.2. Research Assumption

Chapter 2. Global Machine Learning Market Definition & Scope 
    2.1. Objective of The Study 
    2.2. Market Definition 
    2.3. Scope of The Study 
    2.4. Years Considered for The Study 
    2.5. Currency Conversion Rates 
    2.6. Report Limitation

Chapter 3. Executive Summary 
    3.1. Key Trends 
    3.2. Global & Segmental Market Estimates & Forecasts, 2015-2025 (USD Billion/Million)

Chapter 4. Global Machine Learning Industry Dynamics 
    4.1. Growth Prospects 
      4.1.1. Drivers 
      4.1.2. Restraints 
      4.1.3. Opportunities 
    4.2. Industry Analysis 
      4.2.1. Porter’s 5 Force Model 
      4.2.2. PEST Analysis 
      4.2.3. Value Chain Analysis 
    4.3. Analyst Recommendation & Conclusion

Chapter 5. Global Machine Learning Market by Transmission Type

Chapter 6. Global Machine Learning Market by Vertical 

Chapter 7. Global Machine Learning Market by Service 

Chapter 8. Global Machine Learning Market by Deployment 

Chapter 9. Global Machine Learning Market by Organization Size

Chapter 10. Global Machine Learning Market, Regional Analysis

Chapter 11. Competitive Intelligence 
    11.1. Company Market Share (Subject to Data Availability) 
    11.2. Top Market Strategies 
    11.3. Company Profiles 
      11.3.1. Microsoft Corporation 
          11.3.1.1. Overview 
          11.3.1.2. Financial (Subject to Data Availability) 
          11.3.1.3. Product Summary 
          11.3.1.4. Recent Developments 
      11.3.2. SAP SE 
      11.3.3. Sas Institute Inc. 
      11.3.4. Amazon Web Services, Inc. 
      11.3.5. Bigml, Inc. 
      11.3.6. Google Inc. 
      11.3.7. Fair Isaac Corporation 
      11.3.8. Baidu, Inc. 
      11.3.9. Hewlett Packard Enterprise Development Lp 
      11.3.10. Intel Corporation 
      11.3.11. H2o.ai 

Continuous…

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