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Global Deep Learning Cognitive Computing Market – Industry Trends and Forecast to 2028

  • ICT
  • Upcoming Report
  • Mar 2021
  • Global
  • 350 Pages
  • No of Tables: 220
  • No of Figures: 60

Global Deep Learning Cognitive Computing Market, By Component (Platform, Services),  Business Function (Human Resource, Operations,  Finance, Marketing and Sales, Others), Deployment Mode (On-Premises, Cloud, Hybrid), Organization Size (Small and Medium-Sized Enterprises, Large Enterprises), Application (Automation, Intelligent Virtual Assistants and Chatbots, Behavioral Analysis, Biometrics, Others), End User (Banking, Financial Services, and Insurance, Retail and E-commerce, Travel and Hospitality, Government, It and Telecommunications, Healthcare and Life Sciences, Manufacturing, Media and Entertainment, Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2028

Deep Learning Cognitive Computing Market Deep Learning Cognitive Computing Market Analysis and Insights      

Deep learning cognitive computing market size is valued at USD 91,573.79 million by 2028 is expected to grow at a compound annual growth rate of 29.70% in the forecast period of 2021 to 2028. Data Bridge Market Research report on deep learning cognitive computing provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the market’s growth.

Cognitive computing is the use of programmed models to imitate the human thought process in difficult situations where the answers may be vague and unsure. Cognitive computing describes the technology platforms that are based on the signal processing and scientific disciplines of artificial intelligence. 

The constant evolution in the computing environment such as cloud, mobile and analytics has been directly influencing the growth of deep learning cognitive computing market over the forecast period of 2021 to 2028. Also the rising demand for intelligent business processes is also flourishing the growth of the deep learning cognitive computing market. In addition, the rapid technological advancements as well as increase in customer engagement through social media platforms are also positively impacting the growth of the market. Furthermore, the increasing adoptions of advanced artificial intelligence and machine learning technologies as well as the growing digitalization are also largely lifting the growth of the deep learning cognitive computing market.

However, the incapability to recognize customer intent and respond efficiently are acting as the major limitations for the growth of deep learning cognitive computing in the forecast period of 2021 to 2028, whereas the data management and regulations have the potential to challenge the growth of the deep learning cognitive computing market.

Likewise, the increasing use of deep learning technology in artificial intelligence recommendation engine solutions along with using cognitive abilities to lessen excess operational costs will further cater ample new opportunities that will lead to the growth of the deep learning cognitive computing market in the above mentioned forecasted period.

This deep learning cognitive computing market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on deep learning cognitive computing market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Global Deep Learning Cognitive Computing Market Scope and Market Size

Deep learning cognitive computing market is segmented on the basis of component, business function, deployment mode, organization size, application and end user. The growth among segments helps you analyze niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.

  • The component segment of the deep learning cognitive computing market is segmented into platform and services. Services have further been segmented into managed services and professional services.
  • On the basis of business function, the deep learning cognitive computing market is segmented intohuman resource, operations, finance, marketing and sales and others. Others have further been segmented into research and development and legal.
  • Based on deployment mode, the deep learning cognitive computing market is segmented into on-premises, cloud and hybrid.
  • On the basis of organization size, the deep learning cognitive computing market is segmented into small and medium-sized enterprises and large enterprises.
  • Based on application, the deep learning cognitive computing market is segmented into automation, intelligent virtual assistants and chatbots, behavioral analysis, biometrics and others.
  • Deep learning cognitive computing market is also segmented on the basis of end user into banking, financial services, and insurance, retail and e-commerce, travel and hospitality, government, it and telecommunications, healthcare and life sciences, manufacturing, media and entertainment and others.

Deep Learning Cognitive Computing Market Country Level Analysis

Deep learning cognitive computing market is analyzed and market size, volume information is provided by country,component, business function, deployment mode, organization size, application and end user as referenced above.

The countries covered in the deep learning cognitive computing market report are U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC)  in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA)as a part of Middle East and Africa (MEA).

North America leads the deep learning cognitive computing market due to the rising usage of internet and high startups adopting cognitive computing solutions in the region. Asia-Pacific is expected to expand at a significant growth rate over the forecast period of 2021 to 2028 owing to rising investments by the technology companies as well as high adoption of advanced artificial intelligence and machine learning technologies and rising government regulations and initiatives in the region.

The country section of thedeep learning cognitive computing market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Competitive Landscape and Deep Learning Cognitive Computing Market Share Analysis

Deep learning cognitive computing market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to deep learning cognitive computing market.

The major players covered in the deep learning cognitive computing market report are Microsoft, IBM, SAS Institute Inc.,Amazon Web Services, Inc., CognitiveScale,Numenta, Enterra Solutions, Expert System S.p.A., Google LLC, Virtusa corp, Cisco Systems, Inc., Tata Consultancy Services Limited, Acuiti Group, Infosys Limited,BurstIQ, Red Skios, e-Zest Solutions, Vantage Labs, Cognitive Software Group and SparkCognition among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.


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Research Methodology:

Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.

The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.

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