Machine Learning Market to 2025 by Solution (Softw

Dublin, May 09, 2018 (GLOBE NEWSWIRE) -- The "Machine Learning Market to 2025 - Global Analysis and Forecasts by Services and Vertical" report has been added to ResearchAndMarkets.com's offering.

Machine Learning market is expected to grow to US$ 39.98 billion by 2025 from US$ 1.29 billion in 2016

The sales of Machine Learnings is largely influenced by numerous economic and environmental factors and the global economy plays a key role in the development of machine learning market. In today's competitive environment, machine learning technology has become an important part in many applications of the BFSI ecosystem, from approving loans, to managing assets, to assessing risks.

BFSI Institutions face a dynamic & challenging environment with superior competition from specialized Fin-Tech enterprises, increasing regulatory supplies and pressure on interest margins in a low interest rate market. All of this at a time when consumer behavior is transforming and traditional banking practices and models are no longer adequate to achieve the increasing consumer demands. Machine learning enables them to pioneer in the dynamic business landscape and attain profitable and sustained growth. The machine learning market has gained a huge traction in last two years in terms of both R&D and implementation. The technology has been embraced by many business leaders for various use cases of business that requires real time analytics with self-learning technology that too without being explicitly programmed. Machine learning has enormous potential in industries such as Retail, BFSI, manufacturing, and retail. For instance, BFSI vertical can use Machine Learning solutions to better identify insights in transaction data that help them manage risk and prevent fraud. Similarly, in retail, retailers can use machine learning solutions to designing tools that would provide recommendations to customers based on their purchase history. The machine learning solution providers are highly benefitted with their proficiency in problem solving of a specific classes of business, and leveraging complex analytical algorithms coupled with huge amount of historical data. Furthermost, the cloud enables these service providers to scale the applications in most cost effective way. North America hold the largest share of the total market. While APAC is expected to exhibit highest growth. Asia Pacific in coming years is projected to be the most promising market for machine learning, as the region comprises of some dramatically growing countries, which are highly supported by the government investments initiated towards the development of artificial intelligence technology, and also, subsequently promoting the adoption of cloud based services. R

Key Topics Covered: 1 Tables & Figures 2 Introduction 2.1 Scope of the Study 3 Key Takeaways 4 Machine Learning Market Landscape 4.1 Market Overview 4.2 Market Segmentation 4.2.1 Global Machine Learning Market - By Solution 4.2.2 Global Machine Learning Market - By Deployment Type 4.2.3 Global Machine Learning Market - By End-User 4.2.4 Global Machine Learning Market - By Geography 4.3 PEST Analysis 4.4 PEST Analysis 5 Global Market - Key Industry Dynamics 5.1 Key Market Drivers 5.1.1 Availability of massive amount of data 5.1.2 Demand for superior customer service, efficient operations and improve sales revenue 5.2 Key Market Restraints 5.2.1 Rising concerns regarding data security and governance 5.2.2 Lack of cloud infrastructure in third world countries 5.3 Key Market Opportunities 5.3.1 Rising adoption of cloud-based machine learning computing 5.4 Future Trends 5.4.1 Adoption of robotic process automation 5.5 Impact Analysis of Drivers and Restraints 6 Machine Learning Market - Global 6.1 Global Machine Learning Market Overview 6.2 Global Machine Learning Market Forecast and Analysis 7 Global Machine Learning Market Analysis - By Solution 7.1 Overview 7.2 Software 7.3 Services 8 Global Machine Learning Market Analysis - By Deployment Type 8.1 Overview 8.2 Cloud/MLaaS 8.3 On-premise 9 Global Machine Learning Market Analysis - By End-User 9.1 Overview 9.2 BFSI 9.2.1 Overview 9.2.2 Global BFSI Market Revenue and Forecasts to 2025 (US$ Mn) 9.2.3 Machine Learning Market Breakdown by BFSI 9.2.3.1 Risk Management Compliance 9.2.3.2 Predictive Customer Analytics 9.2.3.3 Algorithm Trading 9.2.3.4 Others 9.3 Retail 9.3.1 Overview 9.3.2 Global Retail Market Revenue and Forecasts to 2025 (US$ Mn) 9.3.3 Machine Learning Market Breakdown by Retail 9.3.3.1 Customer Experience & Insight 9.3.3.2 Supply & Demand Planning 9.3.3.3 Others 9.3.3.3.1 Overview 9.3.3.3.2 Global Others Market Revenue and Forecasts to 2025 (US$ Mn) 9.4 Healthcare 9.4.1 Overview 9.4.2 Global Healthcare Market Revenue and Forecasts to 2025 (US$ Mn) 9.4.3 Machine Learning Market Breakdown by Healthcare 9.4.3.1 Diagnosis and Treatment Systems 9.4.3.2 Image Analytics & Diagnosis 9.4.3.3 Others 9.5 Manufacturing 9.5.1 Overview 9.5.2 Global Manufacturing Market Revenue and Forecasts to 2025 (US$ Mn) 9.5.3 Machine learning Market Breakdown by Manufacturing 9.5.3.1 Predictive Maintenance 9.5.3.2 Supply Chain Management 9.6 Government 9.6.1 Overview 9.6.2 Global Government Market Revenue and Forecasts to 2025 (US$ Mn) 9.6.3 Machine Learning Market Breakdown by Government 9.6.3.1 Fraud & Improper Payments 9.6.3.2 Public Safety & Security 10 Global Machine Learning Market - Geographical Analysis 11 Industry Landscape 11.1 Market Initiative 12 Competitive Landscape

• Amazon Web Services, Inc.
• Fair Isaac Corporation
• Google, Inc.
• Hewlett Packard Enterprise
• IBM Corporation
• Microsoft Corporation
• SAP SE
• BigML, Inc.
• H2O.ai
• SAS Institute Inc.

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