This report gives an in-depth research about the overall state of Cognitive Cloud market and projects an overview of its growth market. It also gives the crucial elements of the market and across major global regions in detail. Number on primary and secondary research has been carried out in order to collect required data for completing this particular report. Sever industry based analytical techniques has been narrowed down for a better understanding of this market.
Cognitive cloud market has been segmented on the basis of technology, service, end user and vertical. The vertical segment is further bifurcated into BFSI, healthcare, consumer electronics & retail, education & retail, IT & telecommunication, travel & tourism, aerospace & defense, oil & gas and others. Out of which retail and healthcare verticals are expected to grow at a significant rate during the forecast period. In healthcare, cognitive cloud helps in gathering all the available information and integrating that data with patient information which in turn helps in providing more personalized services. Cognitive cloud also helps in making healthcare cost efficient.
Google, Inc. (U.S.), IBM Corporation (U.S.), Microsoft Corporation (U.S.), Spark Cognition, Inc. (U.S.), CognitiveScale (U.S.), Enterra Solutions LLC (U.S.), Numenta (U.S.), Vicarious (U.S.), Saffron Technology (U.S.), ColdLight Solutions (U.S.) and others
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The vastly rising demand for big data analytics technologies to make sense of the enormous amount of data in various areas of business that defies natural human comprehension is a defining factor bolstering the need for cognitive computing technologies. The proliferation of unstructured data enterprise data in businesses in various regions and the need for machine learning technologies for turn these to drive profitability across the business are crucial factors boosting the market.
The major geographical regions which include, North America, Asia Pacific, Europe, the Middle East & Africa and Latin America are studied. Top manufacturers from all these regions are studied to help give a better picture of the market investment. Production, price, capacity, revenue and many such important data is been discussed with precise data.
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The report takes a close and analytical look at the various companies that strive for a higher share of the global Cognitive Cloud. For this purpose, a section dedicated to company profiles has been included in the report. The profiling of the leading players is done in order to judge the current competitive scenario. The competitive landscape is assessed by taking into consideration many important factors such as business growth, recent developments, product pipeline, and others.
Table of Contents:
Global Cognitive Cloud Research Report 2018-2023
Chapter 1 Cognitive Cloud Overview
Chapter 2 Global Economic Impact
Chapter 3 Competition by Manufacturers
Chapter 4 Production, Revenue (Value) by Region (2018-2023)
Chapter 5 Supply (Production), Consumption, Export, Import by Regions (2018-2023)
Chapter 6 Production, Revenue (Value), Price Trend by Type
Chapter 7 Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Market Forecast (2017-2021)
Chapter 13 Appendix
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