Cognitive technologies Market Virtual and Augmented Reality (VR/AR)2026


Global Cognitive technologies Market is forecast to reach USD 3.31 Billion by 2026, according to a new report by Reports and Data.

 

The Global Cognitive technologies Market is forecast to reach USD 3.31 Billion by 2026, according to a new report by Reports and Data. Cognitive technologies includes the usage of cognitive computing technologies for the media and entertainment enterprise. As consumers proceed to spend more time watching videos on their tablets, smartphones, and other internet and mobile-connected devices, media, and entertainment companies continue to invest more time, money, and effort in executing the viewing experience more meaningful, embellished and personalized. Thus, the utilization of cognitive solutions has become a part of the digital transformation procedure with a focus on the latest technologies, including Artificial Intelligence (AI) and analytical data. Media agencies are using certain technologies in order to create, program, personalize content, manage promotion inventory management, and augment staff productivity.

As the media and entertainment industry continuously advances to meet the demands of consumers and their viewing experience, cognitive computing is generating new opportunities for the media and entertainment enterprises. Cognitive computing solutions have a golden window to unleash a new age of innovation and growth for media and advertising corporations. This will help media and entertainment companies recognize their audiences better, streamline their marketing ventures, and improve customer co-operation.

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Top 10 Companies Operating in the Global Keyword Market:

Microsoft, Google, AWS, Adobe, IBM, nVIDIA, Salesforce, Baidu, Crimson Hexagon, and Veritone, among others.

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The global market is further segmented into type and application:

Technology Type Outlook (Volume, Kilo Tons; Revenue, USD Billion; 2016-2026)

  • Deep Learning
  • Machine Learning
  • NLP

Component Type Outlook (Volume, Kilo Tons; Revenue, USD Billion; 2016-2026)

  • Solutions
  • Services

Deployment Type Outlook (Volume, Kilo Tons; Revenue, USD Billion; 2016-2026)

  • Cloud
  • On-Premise

Application Type Outlook (Volume, Kilo Tons; Revenue, USD Billion; 2016-2026)

  • Content Management
  • Network Optimization
  • Recommendation and Personalization
  • Customer Retention
  • Predictive Analysis
  • Security Management
  • Others

End-Users Outlook (Volume, Kilo Tons; Revenue, USD Billion; 2016-2026)

  • BFSI
  • Telecom, Media and IT
  • Manufacturing
  • Government and Legal Services
  • Healthcare and Pharmaceuticals
  • Textile
  • Others

Regional analysis provides insights into key trends and demands in each major country that can affect market growth in the region.

  • North America (U.S., Canada, Mexico)
  • Europe (Germany, U.K., Italy, France, BENELUX, Rest of Europe)
  • Asia Pacific (China, India, Japan, South Korea, Rest of APAC)
  • Latin America (Brazil, Rest of LATAM)
  • Middle East Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

Further key findings from the report suggest

  • Machine Learning segment is set to experience the highest CAGR of 26.1% during the forecast period. Machine learning is the application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from previous choices without being explicitly programmed. This help vastly in Cognitive technologies propagation.
  • On-Premise solutions had held a large market share of 53.8% in the year 2018. This is because of the underdeveloped status of cloud deployment. On-premise solutions are costlier, but with time, the market size of this segment shall reduce.
  • Telecom, Media, and IT segment is set to experience the highest CAGR of 26.3% during the forecast period. This is because of the drive for supplying personalized content.
  • Asia Pacific is expected to expand at the highest CAGR of 26.8% during the forecast period. The automation of content delivery procedures to improve efficiency and decrease cost would drive the adoption of Cognitive technologies services.

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