Global Cognitive Computing in Retail Market (2021 to 2026) - by Component, Technology, Deployment, Application and Region - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--The "Global Cognitive Computing in Retail Market, By Component (Platform, Services (Managed, Professional)), By Technology, By Deployment, By Application, By Region, Competition Forecast & Opportunities, 2026" report has been added to ResearchAndMarkets.com's offering.

Global cognitive computing in retail market is expected to grow at a significant rate in the forecast period. Cognitive computing analyzes a massive amount of data with accuracy. It can understand the natural language, images, recognize patterns, amongst others to provide an enhanced shopping experience to consumers and help the organization to make smart decisions. Change in the consumer preference to buy through online channels has impacted the operation of the retail industry. Development of interactive platforms along with the lucrative discounts offered by the market players to attract customers is accelerating the online sales channel market growth.

Ongoing research and development activities for technological advancements of cloud computing technology to increase the efficiency of the system are expected to fuel the market growth in the next five years. The rise in the expenditure capacity of the consumer is increasing the sales of smart devices. Organizations are actively utilizing cognitive computing solutions to reduce the other operational expenses is expected to pave the way for market growth. The growing adoption of internet of things technology for real-time monitoring to analyze consumer behavior and the roll-out of 5G technology is influencing the demand for cognitive computing in the retail market.

Global cognitive computing in retail market is segmented into component, technology, deployment, application, regional distribution, and company. Based on the regional analysis, North America is expected to dominate the market for the forecast period, 2022-2026. Supportive government policies and high adoption of advanced technologies by the organizations are driving the growth of the market in the region. The presence of major market players coupled with the start-ups adopting cognitive computing solutions is expected to influence the market growth.

Companies Mentioned

• SparkCognition, Inc.
• Expert System USA
• IBM Corporation
• Microsoft Corporation
• Google LLC
• Teradata Corporation
• Cisco Systems, Inc.
• Hewlett Packard Enterprises Co.
• CognitiveScale, Inc.
• Deepmind Technologies
• Amazon Web Services, Inc.
• Enterra Solutions LLC
• SAS Institute, Inc.
• Virtusa Corporation
• Tata Consultancy Services Ltd.

Objective of the Study:

• To analyze the historical growth of the market size of global cognitive computing in retail market from 2016 to 2019.
• To estimate and forecast the market size of global cognitive computing in retail market from 2020 to 2026 and growth rate until 2026.
• To classify and forecast global cognitive computing in retail market based on component, technology, deployment, application, regional distribution, and company.
• To identify dominant region or segment in the global cognitive computing in retail.
• To identify drivers and challenges for global cognitive computing in retail market.
• To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in global cognitive computing in retail market.
• To identify and analyze the profile of leading players operating in global cognitive computing in retail market.
• To identify key sustainable strategies adopted by market players in global cognitive computing in retail market.

Key Topics Covered:

1. Product Overview

2. Research Methodology

3. Impact of COVID-19 on Global Cognitive Computing in Retail Market

4. Executive Summary

5. Voice of Customer

5.1. Cognitive Computing Awareness

5.2. Cognitive Computing in Retail Adoption Readiness

5.3. Key Reasons to Adopt Cognitive Computing in Retail

5.4. Satisfaction Levels Based on Various Parameters

5.5. Key Challenges Mitigated by Adoption of Cognitive Computing in Retail

5.6. Key Challenges Faced in Adoption of Cognitive Computing

6. Global Cognitive Computing in Retail Market Outlook

6.1. Market Size & Forecast

6.1.1. By Value

6.2. Market Share & Forecast

6.2.1. By Component (Platform, Services (Managed, Professional))

6.2.2. By Technology (Machine Learning, Natural Language Processing, Deep Learning, Robotics, Computer / Machine Vision)

6.2.3. By Deployment (Cloud, On-Premises)

6.2.4. By Application (Customer Experience, Price Optimization, Demand Forecasting, Inventory Management, Automation, Others)

6.2.5. By Company (2020)

6.2.6. By Region

6.3. Market Attractiveness Index

7. Asia-Pacific Cognitive Computing in Retail Market Outlook

8. Europe Cognitive Computing in Retail Market Outlook

9. North America Cognitive Computing in Retail Market Outlook

10. South America Cognitive Computing in Retail Market Outlook

11. Middle East and Africa Cognitive Computing in Retail Market Outlook

12. Market Dynamics

12.1. Drivers

12.2. Challenges

13. Market Trends & Developments

14. Competitive Landscape

15. Strategic Recommendations

16. About the Publisher & Disclaimer

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