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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 a 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.

Global Machine Learning MarketThe 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)

By Service:

  • Professional Services
  • Managed Services

Deployment Mode:

  • Cloud
  • On-premises

Organization Size:

  • SMEs
  • Large Enterprises

Regions:

  • North America
    • U.S.
    • Canada
  • Europe
    • UK
    • Germany
  • Asia Pacific
    • China
    • India
    • Japan
  • Latin America
    • Brazil
    • Mexico
  • Rest of the World

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

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

5.1.         Market Snapshot

5.2.         Machine Learning Market, Sub Segment Analysis

5.2.1.      Automatic

5.2.1.1.   Market estimates & forecasts, 2015-2025 (USD Billion/Million)

5.2.1.2.   Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

5.2.2.      Manual

5.2.2.1.   Market estimates & forecasts, 2015-2025 (USD Billion/Million)

5.2.2.2.   Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

Chapter 6.             Global Machine Learning Market by Vertical

6.1.         Market Snapshot

6.2.         Machine Learning Market, Sub Segment Analysis

6.2.1.      BFSI

6.2.1.1.   Market estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.1.2.   Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.1.3.   BFSI sub segment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.1.3.1.               Fraud and Risk Management

6.2.1.3.2.               Investment Prediction

6.2.1.3.3.               Sales and Marketing Campaign Management

6.2.1.3.4.               Customer Segmentation

6.2.1.3.5.               Digital Assistance

6.2.1.3.6.               Others (compliance management and credit underwriting)

6.2.2.      Healthcare and Life Sciences

6.2.2.1.   Market estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.2.2.   Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.2.3.   Healthcare & Life science sub segment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.2.3.1.               Disease Identification and Diagnosis

6.2.2.3.2.               Image Analytics

6.2.2.3.3.               Drug Discovery/Manufacturing

6.2.2.3.4.               Personalized Treatment

6.2.2.3.5.               Others (clinical trial research and epidemic outbreak prediction)

6.2.3.      Retail

6.2.3.1.   Market estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.3.2.   Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.3.3.   Retail sub segment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.3.3.1.               Inventory Planning

6.2.3.3.2.               Upsell and Cross Channel Marketing

6.2.3.3.3.               Segmentation and Targeting

6.2.3.3.4.               Recommendation engines

6.2.3.3.5.               Others (customer ROI and lifetime value, and customization management)

6.2.4.      Telecommunication

6.2.4.1.   Market estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.4.2.   Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.4.3.   Telecommunication sub segment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.4.3.1.               Customer Analytics

6.2.4.3.2.               Network Optimization

6.2.4.3.3.               Network Security

6.2.4.3.4.               Others (digital assistance/contact centers analytics and marketing campaign analytics)

6.2.5.      Govt. & Defense

6.2.5.1.   Market estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.5.2.   Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.5.3.   Govt. & Defense sub segment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.5.3.1.               Threat Intelligence

6.2.5.3.2.               Autonomous Defense system

6.2.5.3.3.               Others (sustainability and operational analytics)

6.2.6.      Manufacturing

6.2.6.1.   Market estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.6.2.   Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.6.3.   Manufacturing sub segment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.6.3.1.               Predictive Maintenance

6.2.6.3.2.               Demand Forecasting

6.2.6.3.3.               Revenue Estimation

6.2.6.3.4.               Supply Chain Management

6.2.6.3.5.               Others (root cause analysis and telematics)

6.2.7.      Energy and Utilities

6.2.7.1.   Market estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.7.2.   Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.7.3.   Energy & Utilities sub segment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.7.3.1.               Power/Energy Usage Analytics

6.2.7.3.2.               Seismic Data Processing

6.2.7.3.3.               Smart Grid Management

6.2.7.3.4.               Carbon Emission

6.2.7.3.5.               Others (customer specific pricing and renewable energy management)

6.2.8.      Others

6.2.8.1.   Market estimates & forecasts, 2015-2025 (USD Billion/Million)

6.2.8.2.   Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

Chapter 7.             Global Machine Learning Market by Service

7.1.         Market Snapshot

7.2.         Machine Learning Market, Sub Segment Analysis

7.2.1.      Professional

7.2.1.1.   Market estimates & forecasts, 2015-2025 (USD Billion/Million)

7.2.1.2.   Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

7.2.2.      Managed

7.2.2.1.   Market estimates & forecasts, 2015-2025 (USD Billion/Million)

7.2.2.2.   Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

Chapter 8.             Global Machine Learning Market by Deployment

8.1.         Market Snapshot

8.2.         Machine Learning Market, Sub Segment Analysis

8.2.1.      Cloud

8.2.1.1.   Market estimates & forecasts, 2015-2025 (USD Billion/Million)

8.2.1.2.   Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

8.2.2.      On Premise

8.2.2.1.   Market estimates & forecasts, 2015-2025 (USD Billion/Million)

8.2.2.2.   Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

Chapter 9.             Global Machine Learning Market by Organization Size

9.1.         Market Snapshot

9.2.         Machine Learning Market, Sub Segment Analysis

9.2.1.      SMEs

9.2.1.1.   Market estimates & forecasts, 2015-2025 (USD Billion/Million)

9.2.1.2.   Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

9.2.2.      Large Enterprise

9.2.2.1.   Market estimates & forecasts, 2015-2025 (USD Billion/Million)

9.2.2.2.   Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

Chapter 10.           Global Machine Learning Market, Regional Analysis

10.1.       Machine Learning Market, Regional Market Snapshot (2015-2025)

10.2.       North America Machine Learning Market Snapshot

10.2.1.    U.S. Machine Learning Market Size Estimates & Forecasts, 2015-2025 (USD Billion/Million)

10.2.1.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)

10.2.1.2. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.2.1.3. Services breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.2.1.4. Deployment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.2.1.5. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.2.2.    Canada Machine Learning Market Size Estimates & Forecasts, 2015-2025 (USD Billion/Million)

10.2.2.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)

10.2.2.2. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.2.2.3. Services breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.2.2.4. Deployment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.2.2.5. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.       Europe Machine Learning Market Snapshot

10.3.1.    U.K. Machine Learning Market Size Estimates & Forecasts, 2015-2025 (USD Billion/Million)

10.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.1.2. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.1.3. Services breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.1.4. Deployment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.1.5. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.2.    Germany Machine Learning Market Size Estimates & Forecasts, 2015-2025 (USD Billion/Million)

10.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.2.2. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.2.3. Services breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.2.4. Deployment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.2.5. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.3.    France Machine Learning Market Size Estimates & Forecasts, 2015-2025 (USD Billion/Million)

10.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.3.2. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.3.3. Services breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.3.4. Deployment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.3.5. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.4.    Rest of Europe Machine Learning Market Size Estimates & Forecasts, 2015-2025 (USD Billion/Million)

10.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.4.2. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.4.3. Services breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.4.4. Deployment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.3.4.5. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.       Asia Machine Learning Market Snapshot

10.4.1.    China Machine Learning Market Size Estimates & Forecasts, 2015-2025 (USD Billion/Million)

10.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.1.2. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.1.3. Services breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.1.4. Deployment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.1.5. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.2.    India Machine Learning Market Size Estimates & Forecasts, 2015-2025 (USD Billion/Million)

10.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.2.2. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.2.3. Services breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.2.4. Deployment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.2.5. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.3.    Japan Machine Learning Market Size Estimates & Forecasts, 2015-2025 (USD Billion/Million)

10.4.3.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.3.2. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.3.3. Services breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.3.4. Deployment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.3.5. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.4.    Rest of Asia Pacific Machine Learning Market Size Estimates & Forecasts, 2015-2025 (USD Billion/Million)

10.4.4.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.4.2. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.4.3. Services breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.4.4. Deployment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.4.4.5. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.5.       Latin America

10.5.1.    Brazil Machine Learning Market Size Estimates & Forecasts, 2015-2025 (USD Billion/Million)

10.5.1.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)

10.5.1.2. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.5.1.3. Services breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.5.1.4. Deployment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.5.1.5. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.5.2.    Mexico Machine Learning Market Size Estimates & Forecasts, 2015-2025 (USD Billion/Million)

10.5.2.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)

10.5.2.2. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.5.2.3. Services breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.5.2.4. Deployment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.5.2.5. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.6.       Rest of The World Machine Learning Market Snapshot

10.6.1.    Market estimates & forecasts, 2015-2025 (USD Billion/Million)

10.6.2.    Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.6.3.    Services breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.6.4.    Deployment breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

10.6.5.    Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

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.a

The research for global Machine Learning Market focuses deeply on the entire value chain of the market. However, the market size estimates are purely based on the consumer side of the value chain wherein the market sizes have been calculated by analyzing the average demand for Machine Learning across various verticals such as banking, telecommunication, retail, manufacturing and government, and defense.

The revenue for global Machine Learning market is calculated as sum market sizes of different segments such as verticals, services, deployment, organization size, and regions. Further, some other key data points considered to calculate the revenue for global Machine Learning market include:

  • Revenues from key companies
  • Key company market share analysis
  • Consumer spending analysis
  • Regional export and import analysis
  • Sales revenue generated by various applications in different geographies

An extensive primary and secondary research has been conducted on key industry people, through questionnaires, telephonic conversations, email conversations, and interviews to verify the market estimations. Various government websites/portals and paid data sources are considered as a key source of secondary research.

We utilize a combination of bottom-up & top-down methodology for market estimations & forecasts. Additionally, we employ data triangulation techniques to verify each of the market estimates and forecasts through primary interviews and feedbacks.

All the estimates are derived from simulation models which is our proprietary technique. Each of these models is different from each other are a combination of correlation, regression and time series analysis. Each of these models is basically divided into two types namely economic and technological. Economical models are used to determine short-term market estimates and technological models are used for long-term estimates & forecasts.  


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