Global Machine Learning Market to reach USD 42.7 billion by 2026

Global Machine Learning Market Size Study, by Vertical (BFSI, Healthcare & Life Sciences, Retail, Telecommunication, Government & Defense, Manufacturing, Energy & Utilities), by Deployment Mode (Cloud, On premise), by Organization Size (Large Enterprise, SMEs), by Service (Professional Services, Managed Services) and Regional Forecasts, 2019-2026
Product Code:  IACTIS_54670187
Chapter 1.	Executive Summary 
1.1.	Market Snapshot
1.2.	Key Trends
1.3.	Global & Segmental Market Estimates & Forecasts, 2016-2026 (USD Billion)
1.3.1.	Machine Learning Market, by Verticals, 2016-2026 (USD Billion)
1.3.2.	Machine Learning Market, by Service, 2016-2026 (USD Billion)
1.3.3.	Machine Learning Market, by Deployment Mode, 2016-2026 (USD Billion
1.3.4.	Machine Learning Market, by Organisation size, 2016-2026 (USD Billion
1.3.5.	Machine Learning Market, by Region, 2016-2026 (USD Billion)
1.4.	Estimation Methodology
1.5.	Research Assumption
Chapter 2.	Global Machine Learning Market Definition and Scope 
2.1.	Objective of the Study
2.2.	Market Definition & Scope
2.2.1.	Industry Evolution
2.2.2.	Scope of the Study
2.3.	Years Considered for the Study
2.4.	Currency Conversion Rates
Chapter 3.	Global Machine Learning Market Dynamics	
3.1.	See Saw Analysis
3.1.1.	Market Drivers
3.1.2.	Market Challenges
3.1.3.	Market Opportunities
Chapter 4.	Global Machine Learning Market Industry Analysis
4.1.	Porter’s 5 Force Model
4.1.1.	Bargaining Power of Buyers
4.1.2.	Bargaining Power of Suppliers
4.1.3.	Threat of New Entrants
4.1.4.	Threat of Substitutes
4.1.5.	Competitive Rivalry
4.1.6.	Futuristic Approach to Porter’s 5 Force Model
4.2.	PEST Analysis
4.2.1.	Political Scenario
4.2.2.	Economic Scenario
4.2.3.	Social Scenario
4.2.4.	Technological Scenario
4.3.	Key Buying Criteria (On Demand)
4.4.	Regulatory Framework (On Demand)
4.5.	Investment Vs Adoption Scenario (On Demand)
4.6.	Analyst Recommendation & Conclusion
Chapter 5.	Global Machine Learning Market, by Verticals 
5.1.	Market Snapshot 
5.2.	Market Performance - Potential Model
5.3.	Machine Learning Market, Sub Segment Analysis
5.3.1.	 BFSI
5.3.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.1.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.1.3.	BFSI sub segment breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.1.3.1.	Fraud and Risk Management
5.3.1.3.2.	Investment Prediction
5.3.1.3.3.	Sales and Marketing Campaign Management
5.3.1.3.4.	Customer Segmentation
5.3.1.3.5.	Digital Assistance
5.3.1.3.6.	Others (compliance management and credit underwriting)
5.3.2.	Healthcare and Life Sciences
5.3.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.2.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.2.3.	Healthcare & Life science sub segment breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.2.3.1.	Disease Identification and Diagnosis
5.3.2.3.2.	Image Analytics
5.3.2.3.3.	Drug Discovery/Manufacturing
5.3.2.3.4.	Personalized Treatment
5.3.2.3.5.	Others (clinical trial research and epidemic outbreak prediction)
5.3.3.	Retail
5.3.3.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.3.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.3.3.	Retail sub segment breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.3.3.1.	Inventory Planning
5.3.3.3.2.	Upsell and Cross Channel Marketing
5.3.3.3.3.	Segmentation and Targeting
5.3.3.3.4.	Recommendation engines
5.3.3.3.5.	Others (customer ROI and lifetime value, and customization management)
5.3.4.	Telecommunication
5.3.4.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.4.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.4.3.	Telecommunication sub segment breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.4.3.1.	Customer Analytics
5.3.4.3.2.	Network Optimization
5.3.4.3.3.	Network Security
5.3.4.3.4.	Others (digital assistance/contact centers analytics and marketing campaign analytics)
5.3.5.	Govt. & Defense
5.3.5.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.5.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.5.3.	Govt. & Defense sub segment breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.5.3.1.	Threat Intelligence
5.3.5.3.2.	Autonomous Defense system
5.3.5.3.3.	Others (sustainability and operational analytics)
5.3.6.	Manufacturing
5.3.6.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.6.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.6.3.	Manufacturing sub segment breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.6.3.1.	Predictive Maintenance
5.3.6.3.2.	Demand Forecasting
5.3.6.3.3.	Revenue Estimation
5.3.6.3.4.	Supply Chain Management
5.3.6.3.5.	Others (root cause analysis and telematics)
5.3.7.	Energy and Utilities
5.3.7.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.7.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.7.3.	Energy & Utilities sub segment breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.7.3.1.	Power/Energy Usage Analytics
5.3.7.3.2.	Seismic Data Processing
5.3.7.3.3.	Smart Grid Management
5.3.7.3.4.	Carbon Emission
5.3.7.3.5.	Others (customer specific pricing and renewable energy management)
5.3.8.	Others
5.3.8.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.8.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
Chapter 6.	Global Machine Learning Market, by Service          
6.1.	Market Snapshot 
6.2.	Market Performance - Potential Model
6.3.	Machine Learning Market, Sub Segment Analysis
6.3.1.	 Professional
6.3.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.1.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
6.3.2.	Managed
6.3.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.2.2.	 Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
Chapter 7.	Global Machine Learning Market, by Deployment mode   
7.1.	Market Snapshot 
7.2.	Market Performance - Potential Model
7.3.	Machine Learning Market, Sub Segment Analysis
7.3.1.	 Cloud
7.3.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.3.1.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.2.	On Premise
7.3.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.3.2.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
Chapter 8.	Global Machine Learning Market, by Organisation size         
8.1.	Market Snapshot 
8.2.	Market Performance - Potential Model
8.3.	Machine Learning Market, Sub Segment Analysis
8.3.1.	 SMEs
8.3.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
8.3.1.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.3.2.	Large Enterprise
8.3.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
8.3.2.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
Chapter 9.	Global Machine Learning Market, by Regional Analysis
9.1.	Machine Learning Market, Regional Market Snapshot (2016-2026)
9.2.	North America Machine Learning Market Snapshot
9.2.1.	U.S.
9.2.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
9.2.1.2.	 Verticals breakdown estimates & forecasts, 2016-2026 (USD Billion) 
9.2.1.3.	 Service breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.2.1.4.	 Deployment mode breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.2.1.5.	 Organisation size breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.2.2.	Canada
9.2.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
9.2.2.2.	Verticals breakdown estimates & forecasts, 2016-2026 (USD Billion) 
9.2.2.3.	 Service breakdown estimates & forecasts, 2016-2026 (USD Billion) 
9.2.2.4.	 Deployment mode breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.2.2.5.	 Organisation size breakdown estimates & forecasts, 2016-2026 (USD Billion)  
9.3.	Europe Machine Learning Market Snapshot
9.3.1.	U.K. 
9.3.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
9.3.1.2.	Verticals breakdown estimates & forecasts, 2016-2026 (USD Billion) 
9.3.1.3.	 Service breakdown estimates & forecasts, 2016-2026 (USD Billion)  
9.3.1.4.	 Deployment mode breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.3.1.5.	 Organisation size breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.2.	 Germany
9.3.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
9.3.2.2.	Verticals breakdown estimates & forecasts, 2016-2026 (USD Billion) 
9.3.2.3.	 Service breakdown estimates & forecasts, 2016-2026 (USD Billion)    
9.3.2.4.	 Deployment mode breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.3.2.5.	 Organisation size breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.3.3.	Rest of Europe
9.3.3.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
9.3.3.2.	Verticals breakdown estimates & forecasts, 2016-2026 (USD Billion) 
9.3.3.3.	 Service breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.3.3.4.	 Deployment mode breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.3.3.5.	 Organisation size breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.	Asia Machine Learning Market Snapshot
9.4.1.	China 
9.4.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
9.4.1.2.	Verticals breakdown estimates & forecasts, 2016-2026 (USD Billion) 
9.4.1.3.	 Service breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.4.1.4.	 Deployment mode breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.4.1.5.	 Organisation size breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.2.	India 
9.4.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
9.4.2.2.	Verticals breakdown estimates & forecasts, 2016-2026 (USD Billion) 
9.4.2.3.	 Service breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.4.2.4.	 Deployment mode breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.4.2.5.	 Organisation size breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.3.	Japan
9.4.3.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
9.4.3.2.	Verticals breakdown estimates & forecasts, 2016-2026 (USD Billion) 
9.4.3.3.	 Service breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.4.3.4.	 Deployment mode breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.4.3.5.	 Organisation size breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.4.	Rest of Asia Pacific
9.4.4.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
9.4.4.2.	Verticals breakdown estimates & forecasts, 2016-2026 (USD Billion) 
9.4.4.3.	 Service breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.4.4.4.	 Deployment mode breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.4.4.5.	 Organisation size breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.5.	Latin America Machine Learning Market Snapshot
9.5.1.	Brazil 
9.5.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
9.5.1.2.	Verticals breakdown estimates & forecasts, 2016-2026 (USD Billion) 
9.5.1.3.	 Service breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.5.1.4.	 Deployment mode breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.5.1.5.	 Organisation size breakdown estimates & forecasts, 2016-2026 (USD Billion)

9.5.2.	Mexico 
9.5.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
9.5.2.2.	Verticals breakdown estimates & forecasts, 2016-2026 (USD Billion) 
9.5.2.3.	 Service breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.5.2.4.	 Deployment mode breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.5.2.5.	 Organisation size breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.6.	Rest of The World 
9.6.1.	Middle East and Africa
9.6.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
9.6.1.2.	Verticals breakdown estimates & forecasts, 2016-2026 (USD Billion) 
9.6.1.3.	 Service breakdown estimates & forecasts, 2016-2026 (USD Billion)
9.6.1.4.	 Deployment mode breakdown estimates & forecasts, 2016-2026 (USD Billion)   
9.6.1.5.	 Organisation size breakdown estimates & forecasts, 2016-2026 (USD Billion)   
Chapter 10.	Competitive Intelligence
10.1.	Company Market Share (Subject to Data Availability)
10.2.	Top Market Strategies
10.3.	Company Profiles
10.3.1.	 Microsoft Corporation
10.3.1.1.	Overview
10.3.1.2.	Financial (Subject to Data Availability)
10.3.1.3.	Product Summary
10.3.1.4.	Recent Developments
10.3.2.	  SAP SE
10.3.3.	Amazon Web Services Inc
10.3.4.	Google Inc
10.3.5.	Bigml Inc.
Chapter 11.	Research Process
11.1.	Research Process
11.1.1.	Data Mining
11.1.2.	Analysis
11.1.3.	Market Estimation
11.1.4.	Validation
11.1.5.	Publishing
11.1.6.	Research Assumption

Global Machine Learning Market is valued approximately USD 2.3 billion in 2018 and is anticipated to grow with a healthy growth rate of more than 45.9 % over the forecast period 2019-2026. . 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 regional analysis of global Machine Learning market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the world in terms of market share. Whereas, Asia-Pacific is also anticipated to exhibit highest growth rate / CAGR over the forecast period 2019-2026.

Major market player included in this report are:
Microsoft Corporation
SAP SE
Amazon Web Services Inc
Google Inc
Bigml Inc.
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:
By 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

By Region:
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 – 2016, 2017
Base year – 2018
Forecast period – 2019 to 2026

Target Audience of the Global Machine Learning Market in 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


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