Global Cognitive Computing Market, By Technology (Natural Language Processing, Machine Learning, Automated Reasoning. Other), Component (Platform, Service), Size (Small and Medium Businesses, Large Enterprises), Technology (Machine Learning , Human Computer Interaction, Natural Language Processing , Deep Learning), Business Functions (Human Resources, Legal, Finance, Marketing and Advertising), Deployment Type (Cloud, On- Premises), Vertical (BFSI, Consumer Goods and Retail, Aerospace and Defense, Telecom and IT, Energy and Power, Travel and Tourism, Media and Entertainment, Education and Research, Other), Applications (Diagnostic APIs, Robots, Cyber Security, Farm Mechanization, Social Media Monitoring, Self-Driving Cars, Gaming, Video Surveillance, E-Learning, IT Infrastructure Management, Supply Chain Management), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, France, Italy, U.K., Belgium, Spain, Russia, Turkey, Netherlands, Switzerland, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, U.A.E, Saudi Arabia, Egypt, South Africa, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2028
Market Analysis and Insights of Cognitive Computing Market
Cognitive computing market is expected to gain market growth in the forecast period of 2021 to 2028. Data Bridge Market Research analyses the market to grow at a CAGR of 31.6% in the above-mentioned forecast period.
Cognitive computing is basically the utilization of computerized models to mimic or simulate the human thinking process in complex situations where the responses may be vague, unclear, ambiguous or uncertain. They are based on self- learning system which utilizes different machine learning techniques so they can perform various human functions efficiently and smartly. Some of the common self- learning methods which are used are data mining, natural language processing, and pattern reorganization.
The factors such as rising large and complex dataset and availability of innovative hardware and software system are expected to emerge as the significant factors accelerating the growth of cognitive computing market. In addition to this, growing demand from healthcare sector, will further aggravate the growth of the cognitive computing market. However, high investment cost and dearth of awareness among population results as a growth restraint for the market.
The advancement in the computing platforms such as cloud and mobile is anticipated to generate lucrative opportunities for the cognitive computing market. The complexity associated with the government and compliance will pose as a challenge for the Cognitive computing market.
This 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, geographical expansions, technological innovations in the market. To gain more info on 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 Cognitive Computing Market Scope and Market Size
The cognitive computing market is segmented on the basis of component, size, technology, business functions, deployment type, vertical and applications. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target market.
- On the basis of component, the cognitive computing market is segmented into platform and service.
- On the basis of size, the market is segmented into small and medium businesses and large enterprises.
- On the basis of technology, the market is segmented into machine learning, human computer interaction, natural language processing and deep learning.
- On the basis of business functions, the market is segmented into human resources, legal, finance and marketing and advertising.
- On the basis of deployment type, the market is segmented into cloud and on- premises.
- On the basis of vertical, the market is segmented into BFSI, consumer goods and retail, aerospace and defense, telecom and IT, energy and power, travel and tourism, media and entertainment, education and research and others,
- On the basis of applications, the market is segmented into diagnostic APIs, robots, cyber security, farm mechanization, social media monitoring, self-driving cars, gaming, video surveillance, e-learning, IT infrastructure management and supply chain management.
Cognitive Computing Market Country Level Analysis
The Cognitive computing market is analyzed and market size, volume information is provided by component, size, technology, business functions, deployment type, vertical and applications as referenced above.
The countries covered in the Cognitive computing market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America is projected to dominate the cognitive computing market during the forecast period due to the increasing internet usage and startups adopting cognitive computing solutions. On the other hand, Asia-Pacific is expected to show a lucrative growth as significantly increase in the investment in research and development activities by the major organizations.
The country section of the 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 such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, 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 Cognitive Computing Market Share Analysis
The 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, global presence, production sites and facilities, production capacities, 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 Cognitive computing market.
The major players covered in the Cognitive computing market report are, IBM, Microsoft, Intel Corporation, Cognitive Computing Consortium, Enterra Solutions, Numenta, Vicarious, Deepmind, SparkCognition, TIBCO Software Inc, NakaTech, Wipro Limited, Marlabs, SAP SE, Hewlett Packard Enterprise Development LP, Numenta, CognitiveScale, oppScience, e-Zest Solution 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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