Press release
Increasing Volume of Large Complex Data & Several innovations in the technology propelling the growth for Cognitive Computing Market
Cognitive computing helps to process volumes of complex data, thereby inadvertently enhancing the enterprise's productivity levels. Cognitive computing is considered as a next-generation system that converses in human language and helps experts to make better decisions by understanding the complexities of big data.Cognitive computing is majorly used in BFSI, healthcare, security, retail, e-commerce and other sectors. Increasing volume of unstructured data and advancements in technology are the major driving forces of the cognitive computing market. Cloud-based technological advancements, development of innovative hardware and software systems and cognitive experience interfaces would foster the growth of the cognitive computing market.
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The advent of cognitive computing has led to a major shift in the evolution of technology over the past decade. The growing trend of increasing cloud based services, big data analytics and harnessing the internet speed, has largely supplemented the growth of the cognitive computing market. Cognitive analytics have optimum capabilities in handling huge volumes of data and facilitate the quick transitioning of manufacturing footprints and technologies.
The natural language processing segment generated the maximum revenue in 2014, accounting for over 40% of the total market revenue. The technology would continue to dominate the market throughout the forecast period. Machine learning is the second highest segment, constituting around 30% of the total revenue. Automated reasoning technology, presently having a smaller market share, would grow at the fastest CAGR of 37% during 2015 - 2020. Automated reasoning reduces overloaded information and is seeking applications in computational biology that would accelerate the growth of the technology in the coming years.
Cognitive Computing Market Key Segments:
The market is segmented on the basis of technology, application, end-user, deployment type, and geography.
By Technology
• Natural Language Processing
• Machine Learning
• Automated Reasoning
• Others (Information Retrieval)
By Application
• Healthcare
• BFSI
• Retail
• Government (Defense)
• IT & Telecom
• Security
• Others
By End-User
• Large Enterprises
• Small and Medium Businesses (SMBs)
By Deployment Type
• On-Premises Software
• Cloud-Based Services
By Geography
• North America
• Europe
• Asia-Pacific
• LAMEA
Key Benefits
• The report provides an in depth analysis of the global cognitive computing market and offers current and future trends to identify lucrative investment pockets in the market
• The report identifies the key drivers, opportunities and restraints along with their impact analysis
• Porter’s five forces analysis provides a clear idea regarding the potency of the buyers and suppliers participating in this market. This would further lend competitive advantage to the stakeholders in making profitable business decisions helping them to have a better hold on the suppliers and buyers.
• Current and future trends are outlined to determine the overall attractiveness and figure out profitable trends in order to gain a stronger foothold in the market
• A quantitative analysis of the market through 2014-2020 is provided to highlight the market potential
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North America accounts for the highest adoption of cognitive computing applications and holds the largest revenue share in the global market, followed by Europe. The North American region generated a revenue of$1.06 billion in 2014 and would dominate the market during the forecast period 2015 - 2020.Asia-Pacificis expected to become a lucrative market for cognitive computing. The rapidly rising trend of cloud based services, in small and medium enterprises, exhibits a high growth rate in the Asia-Pacific countries.
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