Global Cognitive Computing Market Research Report 2018-2025 | Google, IBM, Microsoft Corporation, Palantir, Saffron Technology

Qyresearchreports include new market research report Global Cognitive Computing Market Size, Status and Forecast 2025 to its huge collection of research reports.

This report studies the global Cognitive Computing market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the global Cognitive Computing market by companies, region, type and end-use industry.

Cognitive Computing is completely changing the way organization use their big data in each verticals, especially in industries like Healthcare, BFSI and Customer services.

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This is big revolution in global information technology market and holds very strong potential of growth. The Cognitive Computing enables a machine to think, interpret and infer information like a human brain. The biggest advancement in this market is IBMs Watson Cognitive Computing. There are few players in the market that have developed the technique of integrating cognitive computing with internet of things (IoT).

The cognitive computing basically works on the principle of neocortex, a part of human brain that plays a big role in the decision making by analyzing the behaviors of a human being and makes decision on the basis of time series analysis. The computer systems that we are using today are consulting us the way we already programed them but cognitive computing systems are completely different, they works on the machine learning algorithms and natural language processing. This unique feature of cognitive computing is enabling business organizations to use immense amount of dark data available with them.

In 2017, the global Cognitive Computing market size was 9850 million US$ and it is expected to reach 71000 million US$ by the end of 2025, with a CAGR of 28.0% during 2018-2025.

This report focuses on the global top players, covered
Google
IBM
Microsoft Corporation
Palantir
Saffron Technology
Cold Light
Cognitive Scale
Enterra Solutions
Numenta
Vicarious

Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India

Market segment by Type, the product can be split into
Natural Language Processing (NLP)
Machine Learning
Automated Reasoning
Others Technologies

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Market segment by Application, split into
SMBs
Large Enterprises

The study objectives of this report are:
To study and forecast the market size of Cognitive Computing in global market.
To analyze the global key players, SWOT analysis, value and global market share for top players.
To define, describe and forecast the market by type, end use and region.
To analyze and compare the market status and forecast between China and major regions, namely, United States, Europe, China, Japan, Southeast Asia, India and Rest of World.
To analyze the global key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends and factors driving or inhibiting the market growth.
To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market
To strategically profile the key players and comprehensively analyze their growth strategies.

In this study, the years considered to estimate the market size of Cognitive Computing are as follows:
History Year: 2013-2017
Base Year: 2017
Estimated Year: 2018
Forecast Year 2018 to 2025

For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

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Key Stakeholders
Cognitive Computing Manufacturers
Cognitive Computing Distributors/Traders/Wholesalers
Cognitive Computing Subcomponent Manufacturers
Industry Association
Downstream Vendors

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