Machine Learning Market by Vertical (BFSI, Healthcare and Life Sciences, Retail, Telecommunication, Government and Defense, Manufacturing, Energy and Utilities), Deployment Mode, Service, Organization Size, and Region - Global Forecast to 2022
Table of Contents
1 Introduction
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.4 Years Considered for the Study
1.5 Currency
1.6 Stakeholders
2 Research Methodology
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakdown of Primaries
2.1.2.2 Key Industry Insights
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.2 Top-Down Approach
2.3 Microquadrant Research Methodology
2.3.1 Vendor Inclusion Criteria
2.4 Research Assumptions
2.5 Limitations
3 Executive Summary
4 Premium Insights
4.1 Attractive Market Opportunities in the Machine Learning Market
4.2 Machine Learning Market: Top 3 Verticals
4.3 Lifecycle Analysis, By Region, 2017–2022
5 Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Technological Advancements
5.2.1.2 Proliferation in Data Generation
5.2.2 Restraints
5.2.2.1 Lack of Skilled Employees
5.2.3 Opportunities
5.2.3.1 Increasing Demand for Intelligent Business Processes
5.2.3.2 Increasing Adoption in Modern Applications
5.2.4 Challenges
5.2.4.1 Sensitive Data Security
5.2.4.2 Ethical Implications of the Algorithms Deployed
5.3 Industry Trends
5.3.1 Machine Learning: Use Cases
5.3.1.1 Introduction
5.3.1.2 Use Case #1: Deliver Analytics Solution
5.3.1.3 Use Case #2: Improve Cross-Selling Capabilities
5.3.1.4 Use Case #3: Increase Revenue and Decrease Customer Incompetence
5.3.1.5 Use Case #4: Market Basket Analysis
5.4 Machine Learning Process
5.5 Regulatory Implications
5.5.1 Introduction
5.5.2 Sarbanes-Oxley Act of 2002
5.5.3 General Data Protection Regulation
5.5.4 Basel
6 Machine Learning Market Analysis, By Vertical
6.1 Introduction
6.1.1 Machine Learning Application in Banking, Financial Services, and Insurance
6.1.1.1 Fraud and Risk Management
6.1.1.2 Customer Segmentation
6.1.1.3 Sales and Marketing Campaign Management
6.1.1.4 Investment Prediction
6.1.1.5 Digital Assistance
6.1.1.6 Others
6.1.2 Machine Learning Application in Healthcare and Life Sciences
6.1.2.1 Disease Identification and Diagnosis
6.1.2.2 Image Analytics
6.1.2.3 Personalized Treatment
6.1.2.4 Drug Discovery/Manufacturing
6.1.2.5 Others
6.1.3 Machine Learning Application in Retail
6.1.3.1 Inventory Planning
6.1.3.2 Recommendation Engines
6.1.3.3 Upsells and Cross Channel Marketing
6.1.3.4 Segmentation and Targeting
6.1.3.5 Others
6.1.4 Machine Learning Application in Telecommunication
6.1.4.1 Customer Analytics
6.1.4.2 Network Security
6.1.4.3 Network Optimization
6.1.4.4 Others
6.1.5 Machine Learning Application in Government and Defense
6.1.5.1 Autonomous Defense System
6.1.5.2 Threat Intelligence
6.1.5.3 Others
6.1.6 Machine Learning Application in Manufacturing
6.1.6.1 Predictive Maintenance
6.1.6.2 Revenue Estimation
6.1.6.3 Demand Forecasting
6.1.6.4 Supply Chain Management
6.1.6.5 Others
6.1.7 Machine Learning Application in Energy and Utilities
6.1.7.1 Power/Energy Usage Analytics
6.1.7.2 Seismic Data Processing
6.1.7.3 Carbon Emission
6.1.7.4 Smart Grid Management
6.1.7.5 Others
6.1.8 Other Applications
7 Machine Learning Market Analysis, By Deployment Mode
7.1 Introduction
7.2 Cloud
7.3 On-Premises
8 Machine Learning Market Analysis, By Organization Size
8.1 Introduction
8.2 Large Enterprises
8.3 Small and Medium-Sized Enterprises
9 Machine Learning Market Analysis, By Service
9.1 Introduction
9.2 Professional Services
9.3 Managed Services
10 Geographic Analysis
10.1 Introduction
10.2 North America
10.2.1 By Vertical
10.2.1.1 Machine Learning Application Trends in BFSI
10.2.1.2 Machine Learning Application Trends in Healthcare and Life Sciences
10.2.1.3 Machine Learning Application Trends in Retail
10.2.1.4 Machine Learning Application Trends in Telecommunication
10.2.1.5 Machine Learning Application Trends in Government and Defense
10.2.1.6 Machine Learning Application Trends in Manufacturing
10.2.1.7 Machine Learning Application Trends in Energy and Utilities
10.2.2 By Organization Size
10.2.3 By Deployment Mode
10.2.4 By Service
10.3 Europe
10.3.1 By Vertical
10.3.1.1 Machine Learning Application Trends in BFSI
10.3.1.2 Machine Learning Application Trends in Healthcare and Life Sciences
10.3.1.3 Machine Learning Application Trends in Retail
10.3.1.4 Machine Learning Application Trends in Telecommunication
10.3.1.5 Machine Learning Application Trends in Government and Defense
10.3.1.6 Machine Learning Application Trends in Manufacturing
10.3.1.7 Machine Learning Application Trends in Energy and Utilities
10.3.2 By Organization Size
10.3.3 By Deployment Mode
10.3.4 By Service
10.4 Asia Pacific
10.4.1 By Vertical
10.4.1.1 Machine Learning Application Trends in BFSI
10.4.1.2 Machine Learning Application Trends in Healthcare and Life Sciences
10.4.1.3 Machine Learning Application Trends in Retail
10.4.1.4 Machine Learning Application Trends in Telecommunication
10.4.1.5 Machine Learning Application Trends in Government and Defense
10.4.1.6 Machine Learning Application Trends in Manufacturing
10.4.1.7 Machine Learning Application Trends in Energy and Utilities
10.4.2 By Organization Size
10.4.3 By Deployment Mode
10.4.4 By Service
10.5 Middle East and Africa
10.5.1 By Vertical
10.5.1.1 Machine Learning Application Trends in BFSI
10.5.1.2 Machine Learning Application Trends in Healthcare and Life Sciences
10.5.1.3 Machine Learning Application Trends in Retail
10.5.1.4 Machine Learning Application Trends in Telecommunication
10.5.1.5 Machine Learning Application Trends in Government and Defense
10.5.1.6 Machine Learning Application Trends in Manufacturing
10.5.1.7 Machine Learning Application Trends in Energy and Utilities
10.5.2 By Organization Size
10.5.3 By Deployment Mode
10.5.4 By Service
10.6 Latin America
10.6.1 By Vertical
10.6.1.1 Machine Learning Application Trends in BFSI
10.6.1.2 Machine Learning Application Trends in Healthcare and Life Sciences
10.6.1.3 Machine Learning Application Trends in Retail
10.6.1.4 Machine Learning Application Trends in Telecommunication
10.6.1.5 Machine Learning Application Trends in Government and Defense
10.6.1.6 Machine Learning Application Trends in Manufacturing
10.6.1.7 Machine Learning Application Trends in Energy and Utilities
10.6.2 By Organization Size
10.6.3 By Deployment Mode
10.6.4 By Service
11 Competitive Landscape
11.1 Market Ranking for the Machine Learning Market, 2017
12 Company Profiles
(Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments)*
12.1 International Business Machines Corporation
12.2 Microsoft Corporation
12.3 SAP SE
12.4 Sas Institute Inc.
12.5 Amazon Web Services, Inc.
12.6 Bigml, Inc.
12.7 Google Inc.
12.8 Fair Isaac Corporation
12.9 Baidu, Inc.
12.10 Hewlett Packard Enterprise Development Lp
12.11 Intel Corporation
12.12 H2o.ai
*Details on Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments Might Not Be Captured in Case of Unlisted Companies.
13 Appendix
13.1 Discussion Guide
13.2 Knowledge Store: Marketsandmarkets’ Subscription Portal
13.3 Introducing RT: Real-Time Market Intelligence
13.4 Available Customizations
13.5 Related Reports
13.6 Author Details
List of Tables
Table 1 United States Dollar Exchange Rate, 2014–2016
Table 2 Evaluation Criteria
Table 3 Global Machine Learning Market Size and Growth Rate, 2015–2022 (USD Million, Y-O-Y %)
Table 4 Machine Learning Market Size, By Vertical, 2015–2022 (USD Million)
Table 5 Banking, Financial Services, and Insurance Market Size, By Application, 2015–2022 (USD Million)
Table 6 Healthcare and Life Sciences Market Size, By Application, 2015–2022 (USD Million)
Table 7 Retail Market Size, By Application, 2015–2022 (USD Million)
Table 8 Telecommunication Market Size, By Application, 2015–2022 (USD Million)
Table 9 Government and Defense Market Size, By Application, 2015–2022 (USD Million)
Table 10 Manufacturing Market Size, By Application, 2015–2022 (USD Million)
Table 11 Energy and Utilities Market Size, By Application, 2015–2022 (USD Million)
Table 12 Market Size By Deployment Mode, 2015–2022 (USD Million)
Table 13 Market Size By Organization Size, 2015–2022 (USD Million)
Table 14 Market Size By Service, 2015–2022 (USD Million)
Table 15 Market Size By Region, 2015–2022 (USD Million)
Table 16 North America: Machine Learning Market Size, By Vertical, 2015–2022 (USD Million)
Table 17 North America: Banking, Financial Services, and Insurance Market Size, By Application, 2015–2022 (USD Million)
Table 18 North America: Healthcare and Life Sciences Market Size, By Application, 2015–2022 (USD Million)
Table 19 North America: Retail Market Size, By Application, 2015–2022 (USD Million)
Table 20 North America: Telecommunication Market Size, By Application, 2015–2022 (USD Million)
Table 21 North America: Government and Defense Market Size, By Application, 2015–2022 (USD Million)
Table 22 North America: Manufacturing Market Size, By Application, 2015–2022 (USD Million)
Table 23 North America: Energy and Utilities Market Size, By Application, 2015–2022 (USD Million)
Table 24 North America: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 25 North America: Market Size, By Deployment Mode, 2015–2022 (USD Million)
Table 26 North America: Market Size, By Service, 2015–2022 (USD Million)
Table 27 Europe: Machine Learning Market Size, By Vertical, 2015–2022 (USD Million)
Table 28 Europe: Banking, Financial Services, and Insurance Market Size, By Application, 2015–2022 (USD Million)
Table 29 Europe: Healthcare and Life Sciences Market Size, By Application, 2015–2022 (USD Million)
Table 30 Europe: Retail Market Size, By Application, 2015–2022 (USD Million)
Table 31 Europe: Telecommunication Market Size, By Application, 2015–2022 (USD Million)
Table 32 Europe: Government and Defense Market Size, By Application, 2015–2022 (USD Million)
Table 33 Europe: Manufacturing Market Size, By Application, 2015–2022 (USD Million)
Table 34 Europe: Energy and Utilities Market Size, By Application, 2015–2022 (USD Million)
Table 35 Europe: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 36 Europe: Market Size, By Deployment Mode, 2015–2022 (USD Million)
Table 37 Europe: Market Size, By Service, 2015–2022 (USD Million)
Table 38 Asia Pacific: Machine Learning Market Size, By Vertical, 2015–2022 (USD Million)
Table 39 Asia Pacific: Banking, Financial Services, and Insurance Market Size, By Application, 2015–2022 (USD Million)
Table 40 Asia Pacific: Healthcare and Life Sciences Market Size, By Application, 2015–2022 (USD Million)
Table 41 Asia Pacific: Machine Learning Market Size in Retail, By Application, 2015–2022 (USD Million)
Table 42 Asia Pacific: Telecommunication Market Size, By Application, 2015–2022 (USD Million)
Table 43 Asia Pacific: Government and Defense Market Size, By Application, 2015–2022 (USD Million)
Table 44 Asia Pacific: Manufacturing Market Size, By Application, 2015–2022 (USD Million)
Table 45 Asia Pacific: Energy and Utilities Market Size, By Application, 2015–2022 (USD Million)
Table 46 Asia Pacific: Machine Learning Market Size, By Organization Size, 2015–2022 (USD Million)
Table 47 Asia Pacific: Machine Learning Market Size, By Deployment Mode, 2015–2022 (USD Million)
Table 48 Asia Pacific: Machine Learning Market Size, By Service, 2015–2022 (USD Million)
Table 49 Middle East and Africa: Machine Learning Market Size, By Vertical, 2015–2022 (USD Million)
Table 50 Middle East and Africa: Banking, Financial Services, and Insurance Market Size, By Application, 2015–2022 (USD Million)
Table 51 Middle East and Africa: Healthcare and Life Sciences Market Size, By Application, 2015–2022 (USD Million)
Table 52 Middle East and Africa: Retail Market Size, By Application, 2015–2022 (USD Million)
Table 53 Middle East and Africa: Telecommunication Market Size, By Application, 2015–2022 (USD Million)
Table 54 Middle East and Africa: Government and Defense Market Size, By Application, 2015–2022 (USD Million)
Table 55 Middle East and Africa: Manufacturing Market Size, By Application, 2015–2022 (USD Million)
Table 56 Middle East and Africa: Energy and Utilities Market Size, By Application, 2015–2022 (USD Million)
Table 57 Middle East and Africa: Market Size By Organization Size, 2015–2022 (USD Million)
Table 58 Middle East and Africa: Market Size By Deployment Mode, 2015–2022 (USD Million)
Table 59 Middle East and Africa: Market Size By Service, 2015–2022 (USD Million)
Table 60 Latin America: Machine Learning Market Size, By Vertical, 2015–2022 (USD Million)
Table 61 Latin America: Banking, Financial Services, and Insurance Market Size, By Application, 2015–2022 (USD Million)
Table 62 Latin America: Healthcare and Life Sciences Market Size, By Application, 2015–2022 (USD Million)
Table 63 Latin America: Retail Market Size, By Application, 2015–2022 (USD Million)
Table 64 Latin America: Telecommunication Market Size, By Application, 2015–2022 (USD Million)
Table 65 Latin America: Government and Defense Market Size, By Application, 2015–2022 (USD Million)
Table 66 Latin America: Manufacturing Market Size, By Application, 2015–2022 (USD Million)
Table 67 Latin America: Energy and Utilities Market Size, By Application, 2015–2022 (USD Million)
Table 68 Latin America: Market Size By Organization Size, 2015–2022 (USD Million)
Table 69 Latin America: Market Size By Deployment Mode, 2015–2022 (USD Million)
Table 70 Latin America: Market Size By Service, 2015–2022 (USD Million)
Table 71 Market Ranking for the Machine Learning Market, 2017
List of Figures
Figure 1 Global Machine Learning Market Segmentation
Figure 2 Global Machine Learning Market: Research Design
Figure 3 Breakdown of Primary Interviews: By Company Size, Designation, and Region
Figure 4 Data Triangulation
Figure 5 Market Size Estimation Methodology: Bottom-Up Approach
Figure 6 Market Size Estimation Methodology: Top-Down Approach
Figure 7 Machine Learning Market Snapshot (2017), By Vertical
Figure 8 Machine Learning Market Snapshot (2017), By Banking, Financial Services, and Insurance Application
Figure 9 Market Snapshot (2017) By Healthcare and Life Sciences Application
Figure 10 Market Snapshot (2017) By Retail Application
Figure 11 Market Snapshot (2017) By Telecommunication Application
Figure 12 Market Snapshot (2017) By Government and Defense Application
Figure 13 Market Snapshot (2017) By Manufacturing Application
Figure 14 Market Snapshot (2017) By Energy and Utilities Application
Figure 15 Market Snapshot (2017) By Service
Figure 16 Market Snapshot (2017) By Organization Size
Figure 17 Machine Learning Market Snapshot (2017), By Deployment Mode
Figure 18 Machine Learning Market Snapshot, By Region
Figure 19 Proliferation in Data Generation is One of the Major Factors Driving the Overall Growth of the Machine Learning Market During the Forecast Period
Figure 20 Healthcare and Life Sciences Vertical is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 21 Asia Pacific is Expected to Exhibit the Highest Growth Potential During the Forecast Period
Figure 22 Market Investment Scenario: Asia Pacific is Expected to Be the Best Market for Investment in the Next 5 Years
Figure 23 Machine Learning Market: Drivers, Restraints, Opportunities, and Challenges
Figure 24 Machine Learning Process
Figure 25 Healthcare and Life Sciences Vertical is Expected to Exhibit the Highest CAGR During the Forecast Period
Figure 26 Fraud and Risk Management Application is Expected to Hold the Largest Market Size During the Forecast Period
Figure 27 Disease Identification and Diagnosis Application is Expected to Hold the Largest Market Size During the Forecast Period
Figure 28 Inventory Planning Application is Expected to Hold the Largest Market Size During the Forecast Period
Figure 29 Customer Analytics Application is Expected to Hold the Largest Market Size During the Forecast Period
Figure 30 Threat Intelligence Application is Expected to Hold the Largest Market Size During the Forecast Period
Figure 31 Predictive Maintenance Application is Expected to Hold the Largest Market Size During the Forecast Period
Figure 32 Power/Energy Usage Analytics Application is Expected to Hold the Largest Market Size During the Forecast Period
Figure 33 Cloud Deployment Mode is Expected to Exhibit A Higher CAGR During the Forecast Period
Figure 34 Small and Medium-Sized Enterprises Segment is Expected to Exhibit A Higher CAGR During the Forecast Period
Figure 35 Managed Services Segment is Expected to Exhibit A Higher CAGR During the Forecast Period
Figure 36 North America is Expected to Hold the Largest Market Size During the Forecast Period
Figure 37 Asia Pacific is Expected to Have the Highest Growth Rate in the Machine Learning Market During the Forecast Period
Figure 38 North America: Market Snapshot
Figure 39 North America: Healthcare and Life Sciences Vertical is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 40 Major Fintech Companies in North America Using Machine Learning
Figure 41 Europe: Healthcare and Life Sciences Vertical is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 42 Asia Pacific: Market Snapshot
Figure 43 Asia Pacific: Healthcare and Life Sciences Vertical is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 44 Middle East and Africa: Healthcare and Life Sciences Vertical is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 45 Latin America: Healthcare and Life Sciences Vertical is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 46 International Business Machines Corporation: Company Snapshot
Figure 47 Microsoft Corporation: Company Snapshot
Figure 48 SAP SE: Company Snapshot
Figure 49 Amazon Web Services, Inc.: Company Snapshot
Figure 50 Google Inc.: Company Snapshot
Figure 51 Fair Isaac Corporation: Company Snapshot
Figure 52 Baidu, Inc.: Company Snapshot
Figure 53 Hewlett Packard Enterprise Development LP: Company Snapshot
Figure 54 Intel Corporation: Company Snapshot
Figure 55 Markets and Markets Knowledge Store: Snapshot 1
Figure 56 Markets and Markets Knowledge Store: Snapshot 2
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