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City of Industry, CA -- (SBWire) -- 07/13/2018 --This report studies the Cognitive Analytics market size by players, regions, product types and end industries, history data 2013-2017 and forecast data 2018-2025; This report also studies the global market competition landscape, market drivers and trends, opportunities and challenges, risks and entry barriers, sales channels, distributors and Porter's Five Forces Analysis.

The healthcare and life sciences industry is estimated to have the largest share of the cognitive analytics market in 2017. Cognitive analytics enables organizations in the healthcare and life sciences industry to accelerate scientific discoveries, transform clinical trials, and improve the execution and engagement for better treatment and care management, leading to the high adoption of the technology in this industry.

Organizations are deploying cognitive analytics solutions, either on-premises or on-demand (cloud). The demand for cloud-based cognitive analytics solutions is expected to grow at a higher rate. Due to the scalability and agility of cloud-based technologies, more enterprises are proactively adopting cloud-based cognitive analytics solutions to avail the cost-saving benefits and increase their operational efficiency.

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In 2017, the global Cognitive Analytics market size was 1800 million US$ and it is expected to reach 14800 million US$ by the end of 2025, with a CAGR of 30.1% between 2018 and 2025.

This report focuses on the global top players, covered

IBM

Amazon Web Services

Google

Microsoft

Oracle

SAS Institute

Intel

Cisco Systems

Nokia

HPE

Nuance Communications

Ipsoft

Narrative Science

Sinequa

Persado

Market segment by Regions/Countries, this report covers

North America

Europe

China

Rest of Asia Pacific

Central & South America

Middle East & Africa

Market segment by Type, the product can be split into

Managed services

Professional services

Consulting services

Deployment and integration

Support and maintenance

Market segment by Application, the market can be split into

Asset maintenance

Fraud and risk management

Customer analysis and personalization

Sales and marketing management

Supply chain management

Others

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