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Machine Learning Market by Manufacturers, Regions, Type and Application, Forecast to 2025

Machine Learning


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.

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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:

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)
Inventory Planning
Upsell and Cross Channel Marketing
Segmentation and Targeting
Recommendation engines
Others (customer ROI and lifetime value, and customization management)
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)
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

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Deployment Mode:
Large Enterprises
North America
Asia Pacific
Latin America
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

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Some Point from 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

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