The cognitive computing market is expected to expand its roots at a strong CAGR of 26.3% during the forecast period. The market is likely to hold a revenue of US$ 18.03 billion in 2023 while it is anticipated to cross a value of US$ 188.2 billion by 2033.
The rise in concern among all the leading business organizations to analyze a large volume of data to estimate the risk associated with any strategic initiative is expected to accelerate market growth.
Factors such as the rise in big data analytics, developments of machine-to-machine technologies, and an increase in demand for a better customer experience led the market growth.
The human-like interface, advanced processing, better decision-making results, and technological advancements in corporate spaces are expected to garner growth. Furthermore, the challenges faced by the industry are anticipated to be solved through cognitive systems. A wide range of applications involving healthcare, government, IT & telecom, and manufacturing. The expanding application of smart technologies like artificial intelligence, machine learning, and big data are also projected to enrich the cognitive computing system experience.
The end-user brands are looking forward to adopting systems that increase and enhanced the adaptiveness of operations. The interactive, Iterative, contextual, and stateful capabilities of these systems inflict higher productivity and efficiency in any operation.
FMI explains how cognitive computing systems benefit different vertical operations. For example, the healthcare sector untangles complex and unstructured healthcare data. This data involves information regarding diagnoses, conditions, and patient history. For the retail sector, the system works on consumer data and delivers personalized suggestions. In the banking and finance industry, the system diversifies the data dimensions and gathers information through multiple sources to provide an idea about ant project.
Lastly, cognitive computing has properties that help these many applications. Some noticeable properties that the systems deliver are analytical accuracy, business process efficiency, customer interaction and experience, and service quality & employee productivity.
| Attributes | Details |
|---|---|
| Cognitive Computing Market CAGR (2023 to 2033) | 26.3% |
| Cognitive Computing Market Size (2023) | US$ 18.03 billion |
| Cognitive Computing Market Size (2033) | US$ 188.2 billion |
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There is an increase in the demand for cognitive systems in large organizations and this is expected to increase in SMBs owing to cloud-based services. As cloud-based deployment decreases the cost of deploying cognitive computing in the organization, there is a subsequent rise in the overall demand for cloud-based services.
The rise in big data analytics, developments of machine-to-machine technologies, and an increase in demand for a better customer experience. In addition, industries such as BFSI, social websites, healthcare, and e-commerce have witnessed a rapid increase in transaction information and customer data.
To develop cognitive solutions, a high upfront investment is required to set up maintenance architecture and infrastructure which leads to high operational costs.
Issues relating to government standards and uncertain regulatory compliance are also expected to limit the growth of the cognitive computing market. In addition, the market is anticipated to experience several challenges owing to the lack of awareness among SMEs.
Principal Consultant
One of the significant market key trends is the rising demand for big data analytics across various industries such as IT and telecom, healthcare, aerospace & defense. The rising volume of data and the adoption of big data tools are likely to drive the demand for big data analytics.
NLP technology helps in analyzing unstructured data for improving customer needs, expectations, and better customer experience. Hence, with the help of NLP, organizations get better insights into the optimization of business processes, reduction in operational cost, and customer perception.
| Countries | Revenue Share % (2023) |
|---|---|
| United States | 27.3% |
| Germany | 7.2% |
| Japan | 5.4% |
| Australia | 2.1% |
| Countries | CAGR % (2023 to 2033) |
|---|---|
| China | 29.3% |
| India | 23.1% |
| United Kingdom | 25.1% |
The global cognitive computing market is divided into North America, South America, Europe, Asia Pacific, the Middle East, and Africa based on geography. The North American region is expected to hold a substantial share of the global cognitive computing market. While the Asia Pacific (APAC) region is expected to grow at a significant rate during the forecast period.
North America is a significant revenue contributor in the global market. The region is witnessing significant developments in the market, owing to the increasing usage of the internet and startups adopting cognitive computing solutions.
In addition, organizations, especially in the United States, have started using cognitive computing solutions to analyze huge volumes of data to provide better solutions. New technological advancements, such as 5G and IoT have also aided in the boost of cognitive solutions in this region.
Cognitive computing demand in the United States has held a market share of 27.3% in 2022. Moreover, the United Kingdom and China are expected to thrive at growth forecasts of 25.1% and 29.3% respectively, throughout the forecast period.
The growth is attributed to the expanding manufacturing space in China while India’s forecast for the IT and telecom industry is rich and is projected to gain more traction for the market. China and India both emerging superpowers are anticipated to expand their market space as both build new healthcare, government-based infrastructure.
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| Category | By Deployment Type |
|---|---|
| Leading Segment | On-Premises |
| Market Share (2022) | 57.6% |
| Category | By Industry Type |
|---|---|
| Leading Segment | IT and telecom |
| Market Share (2022) | 17.5% |
The cognitive computing market can be segmented on the basis of deployment, application, industry, end user, and region. Based on the deployment, the market can be segmented into the following: on-premise, and cloud.
By deployment, the on-premise category of the cognitive computing market is expected to dominate the market as it held a market share of 57.6% in 2022. The growth is attributed to its capabilities such as data mining, pattern recognition, and natural language processing, which in turn is expected to accelerate the market growth over the analysis period.
According to FMI, on the basis of application, the market can be segmented into the following: diagnostic APIs, robots, cyber security, farm mechanization, social media monitoring, self-driving cars, gaming, video surveillance, eLearning, IT infrastructure management, supply chain management, and others. By application, the diagnostic APIs category is expected to dominate the market and is predicted to reach a CAGR of 27.9%, during the forecast period.
Based on Industry, the market can be segmented into the following: healthcare, BFSI, IT and telecom, manufacturing, energy & utility, retail, aerospace & defense, government, transportation, agriculture, media & entertainment, education, and. Based on end-user, the market can be segmented into the following: large enterprises, small and medium enterprises (SMEs), and public sector. The IT and telecom segment leads the market space as the IT industries are on the rise in emerging Asian economies. The demand for effective communication, data tracking, and evaluation techniques is likely to flourish in the segment during the forecast period.
3M, Google LLC, Hewlett Packard Enterprise Development LP, International Business Machines Corporation, Microsoft Corporation, Nuance Communications Inc., Oracle Corporation, SAP SE, SAS Institute Inc., and Tibco Software Inc., among others, are the top companies in the global cognitive computing market.
With a sizable cognitive computing market share, these main firms are concentrating on growing their consumer base in new countries. These businesses are making use of strategic collaboration initiatives to grow their market share and profits.
Mid-size and smaller businesses, on the other hand, are expanding their market presence by gaining new contracts and entering new markets, thanks to technical developments and product innovations.
Market Developments
The market is anticipated to be valued US$ 18.03 billion in 2023.
The market is estimated to evolve at a CAGR of 26.3% till 2033.
The China market is expected to develop at a CAGR of 29.3%.
By 2033, the market is estimated to be worth US$ 188.2 billion.
In the United States, the market share to stand at 27.3%.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Deployment, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment, 2023 to 2033
5.3.1. On-Premise
5.3.2. Cloud
5.4. Y-o-Y Growth Trend Analysis By Deployment, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Deployment, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033
6.3.1. Diagnostic APIs
6.3.2. Robots
6.3.3. Cyber Security
6.3.4. Farm Mechanization
6.3.5. Social Media Monitoring
6.3.6. Self-Driving Cars
6.3.7. Gaming
6.3.8. Video Surveillance
6.3.9. e-Learning
6.3.10. IT Infrastructure Management
6.3.11. Supply Chain Management
6.3.12. Others
6.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Industry
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Industry, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industry, 2023 to 2033
7.3.1. Healthcare
7.3.2. BFSI
7.3.3. IT and Telecom
7.3.4. Manufacturing
7.3.5. Energy & Utility
7.3.6. Retail
7.3.7. Aerospace & Defense
7.3.8. Government
7.3.9. Transportation
7.3.10. Agriculture
7.3.11. Media & Entertainment
7.3.12. Others
7.4. Y-o-Y Growth Trend Analysis By Industry, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Industry, 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End User
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By End User, 2018 to 2022
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User, 2023 to 2033
8.3.1. Large Enterprises
8.3.2. Small and Medium Enterprises (SMEs)
8.3.3. Public Sector
8.4. Y-o-Y Growth Trend Analysis By End User, 2018 to 2022
8.5. Absolute $ Opportunity Analysis By End User, 2023 to 2033
9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
9.1. Introduction
9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
9.3.1. North America
9.3.2. Latin America
9.3.3. Europe
9.3.4. South Asia
9.3.5. East Asia
9.3.6. Oceania
9.3.7. MEA
9.4. Market Attractiveness Analysis By Region
10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. USA
10.2.1.2. Canada
10.2.2. By Deployment
10.2.3. By Application
10.2.4. By Industry
10.2.5. By End User
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Deployment
10.3.3. By Application
10.3.4. By Industry
10.3.5. By End User
10.4. Key Takeaways
11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Brazil
11.2.1.2. Mexico
11.2.1.3. Rest of Latin America
11.2.2. By Deployment
11.2.3. By Application
11.2.4. By Industry
11.2.5. By End User
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Deployment
11.3.3. By Application
11.3.4. By Industry
11.3.5. By End User
11.4. Key Takeaways
12. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. Germany
12.2.1.2. UK
12.2.1.3. France
12.2.1.4. Spain
12.2.1.5. Italy
12.2.1.6. Rest of Europe
12.2.2. By Deployment
12.2.3. By Application
12.2.4. By Industry
12.2.5. By End User
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Deployment
12.3.3. By Application
12.3.4. By Industry
12.3.5. By End User
12.4. Key Takeaways
13. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. India
13.2.1.2. Malaysia
13.2.1.3. Singapore
13.2.1.4. Thailand
13.2.1.5. Rest of South Asia
13.2.2. By Deployment
13.2.3. By Application
13.2.4. By Industry
13.2.5. By End User
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Deployment
13.3.3. By Application
13.3.4. By Industry
13.3.5. By End User
13.4. Key Takeaways
14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. China
14.2.1.2. Japan
14.2.1.3. South Korea
14.2.2. By Deployment
14.2.3. By Application
14.2.4. By Industry
14.2.5. By End User
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Deployment
14.3.3. By Application
14.3.4. By Industry
14.3.5. By End User
14.4. Key Takeaways
15. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. Australia
15.2.1.2. New Zealand
15.2.2. By Deployment
15.2.3. By Application
15.2.4. By Industry
15.2.5. By End User
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Deployment
15.3.3. By Application
15.3.4. By Industry
15.3.5. By End User
15.4. Key Takeaways
16. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
16.2.1. By Country
16.2.1.1. GCC Countries
16.2.1.2. South Africa
16.2.1.3. Israel
16.2.1.4. Rest of MEA
16.2.2. By Deployment
16.2.3. By Application
16.2.4. By Industry
16.2.5. By End User
16.3. Market Attractiveness Analysis
16.3.1. By Country
16.3.2. By Deployment
16.3.3. By Application
16.3.4. By Industry
16.3.5. By End User
16.4. Key Takeaways
17. Key Countries Market Analysis
17.1. USA
17.1.1. Pricing Analysis
17.1.2. Market Share Analysis, 2022
17.1.2.1. By Deployment
17.1.2.2. By Application
17.1.2.3. By Industry
17.1.2.4. By End User
17.2. Canada
17.2.1. Pricing Analysis
17.2.2. Market Share Analysis, 2022
17.2.2.1. By Deployment
17.2.2.2. By Application
17.2.2.3. By Industry
17.2.2.4. By End User
17.3. Brazil
17.3.1. Pricing Analysis
17.3.2. Market Share Analysis, 2022
17.3.2.1. By Deployment
17.3.2.2. By Application
17.3.2.3. By Industry
17.3.2.4. By End User
17.4. Mexico
17.4.1. Pricing Analysis
17.4.2. Market Share Analysis, 2022
17.4.2.1. By Deployment
17.4.2.2. By Application
17.4.2.3. By Industry
17.4.2.4. By End User
17.5. Germany
17.5.1. Pricing Analysis
17.5.2. Market Share Analysis, 2022
17.5.2.1. By Deployment
17.5.2.2. By Application
17.5.2.3. By Industry
17.5.2.4. By End User
17.6. UK
17.6.1. Pricing Analysis
17.6.2. Market Share Analysis, 2022
17.6.2.1. By Deployment
17.6.2.2. By Application
17.6.2.3. By Industry
17.6.2.4. By End User
17.7. France
17.7.1. Pricing Analysis
17.7.2. Market Share Analysis, 2022
17.7.2.1. By Deployment
17.7.2.2. By Application
17.7.2.3. By Industry
17.7.2.4. By End User
17.8. Spain
17.8.1. Pricing Analysis
17.8.2. Market Share Analysis, 2022
17.8.2.1. By Deployment
17.8.2.2. By Application
17.8.2.3. By Industry
17.8.2.4. By End User
17.9. Italy
17.9.1. Pricing Analysis
17.9.2. Market Share Analysis, 2022
17.9.2.1. By Deployment
17.9.2.2. By Application
17.9.2.3. By Industry
17.9.2.4. By End User
17.10. India
17.10.1. Pricing Analysis
17.10.2. Market Share Analysis, 2022
17.10.2.1. By Deployment
17.10.2.2. By Application
17.10.2.3. By Industry
17.10.2.4. By End User
17.11. Malaysia
17.11.1. Pricing Analysis
17.11.2. Market Share Analysis, 2022
17.11.2.1. By Deployment
17.11.2.2. By Application
17.11.2.3. By Industry
17.11.2.4. By End User
17.12. Singapore
17.12.1. Pricing Analysis
17.12.2. Market Share Analysis, 2022
17.12.2.1. By Deployment
17.12.2.2. By Application
17.12.2.3. By Industry
17.12.2.4. By End User
17.13. Thailand
17.13.1. Pricing Analysis
17.13.2. Market Share Analysis, 2022
17.13.2.1. By Deployment
17.13.2.2. By Application
17.13.2.3. By Industry
17.13.2.4. By End User
17.14. China
17.14.1. Pricing Analysis
17.14.2. Market Share Analysis, 2022
17.14.2.1. By Deployment
17.14.2.2. By Application
17.14.2.3. By Industry
17.14.2.4. By End User
17.15. Japan
17.15.1. Pricing Analysis
17.15.2. Market Share Analysis, 2022
17.15.2.1. By Deployment
17.15.2.2. By Application
17.15.2.3. By Industry
17.15.2.4. By End User
17.16. South Korea
17.16.1. Pricing Analysis
17.16.2. Market Share Analysis, 2022
17.16.2.1. By Deployment
17.16.2.2. By Application
17.16.2.3. By Industry
17.16.2.4. By End User
17.17. Australia
17.17.1. Pricing Analysis
17.17.2. Market Share Analysis, 2022
17.17.2.1. By Deployment
17.17.2.2. By Application
17.17.2.3. By Industry
17.17.2.4. By End User
17.18. New Zealand
17.18.1. Pricing Analysis
17.18.2. Market Share Analysis, 2022
17.18.2.1. By Deployment
17.18.2.2. By Application
17.18.2.3. By Industry
17.18.2.4. By End User
17.19. GCC Countries
17.19.1. Pricing Analysis
17.19.2. Market Share Analysis, 2022
17.19.2.1. By Deployment
17.19.2.2. By Application
17.19.2.3. By Industry
17.19.2.4. By End User
17.20. South Africa
17.20.1. Pricing Analysis
17.20.2. Market Share Analysis, 2022
17.20.2.1. By Deployment
17.20.2.2. By Application
17.20.2.3. By Industry
17.20.2.4. By End User
17.21. Israel
17.21.1. Pricing Analysis
17.21.2. Market Share Analysis, 2022
17.21.2.1. By Deployment
17.21.2.2. By Application
17.21.2.3. By Industry
17.21.2.4. By End User
18. Market Structure Analysis
18.1. Competition Dashboard
18.2. Competition Benchmarking
18.3. Market Share Analysis of Top Players
18.3.1. By Regional
18.3.2. By Deployment
18.3.3. By Application
18.3.4. By Industry
18.3.5. By End User
19. Competition Analysis
19.1. Competition Deep Dive
19.1.1. 3M
19.1.1.1. Overview
19.1.1.2. Product Portfolio
19.1.1.3. Profitability by Market Segments
19.1.1.4. Sales Footprint
19.1.1.5. Strategy Overview
19.1.1.5.1. Marketing Strategy
19.1.2. Google LLC
19.1.2.1. Overview
19.1.2.2. Product Portfolio
19.1.2.3. Profitability by Market Segments
19.1.2.4. Sales Footprint
19.1.2.5. Strategy Overview
19.1.2.5.1. Marketing Strategy
19.1.3. Hewlett Packard Enterprise Development LP
19.1.3.1. Overview
19.1.3.2. Product Portfolio
19.1.3.3. Profitability by Market Segments
19.1.3.4. Sales Footprint
19.1.3.5. Strategy Overview
19.1.3.5.1. Marketing Strategy
19.1.4. International Business Machines Corporation
19.1.4.1. Overview
19.1.4.2. Product Portfolio
19.1.4.3. Profitability by Market Segments
19.1.4.4. Sales Footprint
19.1.4.5. Strategy Overview
19.1.4.5.1. Marketing Strategy
19.1.5. Microsoft Corporation
19.1.5.1. Overview
19.1.5.2. Product Portfolio
19.1.5.3. Profitability by Market Segments
19.1.5.4. Sales Footprint
19.1.5.5. Strategy Overview
19.1.5.5.1. Marketing Strategy
19.1.6. Nuance Communications, Inc.
19.1.6.1. Overview
19.1.6.2. Product Portfolio
19.1.6.3. Profitability by Market Segments
19.1.6.4. Sales Footprint
19.1.6.5. Strategy Overview
19.1.6.5.1. Marketing Strategy
19.1.7. Oracle Corporation
19.1.7.1. Overview
19.1.7.2. Product Portfolio
19.1.7.3. Profitability by Market Segments
19.1.7.4. Sales Footprint
19.1.7.5. Strategy Overview
19.1.7.5.1. Marketing Strategy
19.1.8. SAP SE
19.1.8.1. Overview
19.1.8.2. Product Portfolio
19.1.8.3. Profitability by Market Segments
19.1.8.4. Sales Footprint
19.1.8.5. Strategy Overview
19.1.8.5.1. Marketing Strategy
19.1.9. SAS Institute Inc.
19.1.9.1. Overview
19.1.9.2. Product Portfolio
19.1.9.3. Profitability by Market Segments
19.1.9.4. Sales Footprint
19.1.9.5. Strategy Overview
19.1.9.5.1. Marketing Strategy
19.1.10. Tibco Software Inc.
19.1.10.1. Overview
19.1.10.2. Product Portfolio
19.1.10.3. Profitability by Market Segments
19.1.10.4. Sales Footprint
19.1.10.5. Strategy Overview
19.1.10.5.1. Marketing Strategy
20. Assumptions & Acronyms Used
21. Research Methodology
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Cognitive Computing Market
