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.

The major players operating in the global cognitive computing in retail market are 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., among others. Major companies are developing advanced technologies and launching new services to stay competitive in the market. Other competitive strategies include mergers & acquisitions and new service developments.

Years considered for this report:

Historical Years: 2016-2019

Base Year: 2020

Estimated Year: 2021

Forecast Period: 2022–2026

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.


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TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of service providers across the globe. Subsequently, TechSci Research conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, TechSci Research could include the service providers who could not be identified due to the limitations of secondary research. TechSci Research analyzed the service providers, distribution channels and presence of all major players across the globe.

TechSci Research calculated the market size of global cognitive computing in retail market using a bottom-up approach, wherein data for various end-user segments was recorded and forecast for the future years. TechSci Research sourced these values from the industry experts and company representatives and externally validated through analyzing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as company websites, news articles, press releases, company annual reports, investor presentations and financial reports were also studied by TechSci Research.

Key Target Audience:

  • Cognitive Computing in Retail service provider companies
  • Market research and consulting firms
  • Government bodies such as regulating authorities and policy makers
  • Organizations, forums, and alliances related to cognitive computing in retail market

The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as service providers, suppliers and partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.

Report Scope:

In this report, global cognitive computing in retail market has been segmented into following categories, in addition to the industry trends which have also been detailed below:

·         Global Cognitive Computing in Retail Market, By Component:

    • Platform
    • Services
      • Managed
      • Professional
  • Global Cognitive Computing in Retail Market, By Technology:
    • Machine Learning
    • Natural Language Processing
    • Deep Learning
    • Robotics
    • Computer / Machine Vision
  • Global Cognitive Computing in Retail Market, By Deployment:
    • Cloud
    • On-Premises
  • Global Cognitive Computing in Retail Market, By Application:
    • Customer Experience
    • Price Optimization
    • Demand Forecasting
    • Inventory Management
    • Automation
    • Others
  • Global Cognitive Computing in Retail Market, By Region:
    • Asia-Pacific
      • China
      • India
      • Australia
      • Japan
      • South Korea
    • Europe
      • France
      • Germany
      • United Kingdom
      • Italy
      • Spain
    • North America
      • United States
      • Canada
      • Mexico
    • South America

§  Brazil

§  Argentina

§  Colombia

o   Middle East & Africa

      • South Africa
      • Saudi Arabia
      • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in global cognitive computing in retail market.

Available Customizations:

With the given market data, TechSci Research offers customizations according to a company’s specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).
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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

7.1.  Market Size & Forecast          

7.1.1.     By Value

7.2.  Market Share & Forecast

7.2.1.     By Component

7.2.2.     By Technology

7.2.3.     By Deployment

7.2.4.     By Application

7.2.5.     By Country

7.3.  Asia-Pacific: Country Analysis

7.3.1.     China Cognitive Computing in Retail Market Outlook

7.3.1.1.         Market Size & Forecast

7.3.1.1.1.             By Value

7.3.1.2.         Market Share & Forecast

7.3.1.2.1.             By Component

7.3.1.2.2.             By Technology

7.3.1.2.3.             By Deployment

7.3.1.2.4.             By Application

7.3.2.     India Cognitive Computing in Retail Market Outlook

7.3.2.1.         Market Size & Forecast

7.3.2.1.1.             By Value

7.3.2.2.         Market Share & Forecast

7.3.2.2.1.             By Component

7.3.2.2.2.             By Technology

7.3.2.2.3.             By Deployment

7.3.2.2.4.             By Application

7.3.3.     Australia Cognitive Computing in Retail Market Outlook

7.3.3.1.         Market Size & Forecast

7.3.3.1.1.             By Value

7.3.3.2.         Market Share & Forecast

7.3.3.2.1.             By Component

7.3.3.2.2.             By Technology

7.3.3.2.3.             By Deployment

7.3.3.2.4.             By Application

7.3.4.     Japan Cognitive Computing in Retail Market Outlook

7.3.4.1.         Market Size & Forecast

7.3.4.1.1.             By Value

7.3.4.2.         Market Share & Forecast

7.3.4.2.1.             By Component

7.3.4.2.2.             By Technology

7.3.4.2.3.             By Deployment

7.3.4.2.4.             By Application

7.3.5.     South Korea Cognitive Computing in Retail Market Outlook

7.3.5.1.         Market Size & Forecast

7.3.5.1.1.             By Value

7.3.5.2.         Market Share & Forecast

7.3.5.2.1.             By Component

7.3.5.2.2.             By Technology

7.3.5.2.3.             By Deployment

7.3.5.2.4.             By Application

8.    Europe Cognitive Computing in Retail Market Outlook

8.1.  Market Size & Forecast          

8.1.1.     By Value

8.2.  Market Share & Forecast

8.2.1.     By Component

8.2.2.     By Technology

8.2.3.     By Deployment

8.2.4.     By Application

8.2.5.     By Country

8.3.  Europe: Country Analysis

8.3.1.     France Cognitive Computing in Retail Market Outlook

8.3.1.1.         Market Size & Forecast

8.3.1.1.1.             By Value

8.3.1.2.         Market Share & Forecast

8.3.1.2.1.             By Component

8.3.1.2.2.             By Technology

8.3.1.2.3.             By Deployment

8.3.1.2.4.             By Application

8.3.2.     Germany Cognitive Computing in Retail Market Outlook

8.3.2.1.         Market Size & Forecast

8.3.2.1.1.             By Value

8.3.2.2.         Market Share & Forecast

8.3.2.2.1.             By Component

8.3.2.2.2.             By Technology

8.3.2.2.3.             By Deployment

8.3.2.2.4.             By Application

8.3.3.     United Kingdom Cognitive Computing in Retail Market Outlook

8.3.3.1.         Market Size & Forecast

8.3.3.1.1.             By Value

8.3.3.2.         Market Share & Forecast

8.3.3.2.1.             By Component

8.3.3.2.2.             By Technology

8.3.3.2.3.             By Deployment

8.3.3.2.4.             By Application

8.3.4.     Italy Cognitive Computing in Retail Market Outlook

8.3.4.1.         Market Size & Forecast

8.3.4.1.1.             By Value

8.3.4.2.         Market Share & Forecast

8.3.4.2.1.             By Component

8.3.4.2.2.             By Technology

8.3.4.2.3.             By Deployment

8.3.4.2.4.             By Application

8.3.5.     Spain Cognitive Computing in Retail Market Outlook

8.3.5.1.         Market Size & Forecast

8.3.5.1.1.             By Value

8.3.5.2.         Market Share & Forecast

8.3.5.2.1.             By Component

8.3.5.2.2.             By Technology

8.3.5.2.3.             By Deployment

8.3.5.2.4.             By Application

9.    North America Cognitive Computing in Retail Market Outlook

9.1.  Market Size & Forecast          

9.1.1.     By Value

9.2.  Market Share & Forecast

9.2.1.     By Component

9.2.2.     By Technology

9.2.3.     By Deployment

9.2.4.     By Application

9.2.5.     By Country

9.3.  North America: Country Analysis

9.3.1.     United States Cognitive Computing in Retail Market Outlook

9.3.1.1.         Market Size & Forecast

9.3.1.1.1.             By Value

9.3.1.2.         Market Share & Forecast

9.3.1.2.1.             By Component

9.3.1.2.2.             By Technology

9.3.1.2.3.             By Deployment

9.3.1.2.4.             By Application

9.3.2.     Mexico Cognitive Computing in Retail Market Outlook

9.3.2.1.         Market Size & Forecast

9.3.2.1.1.             By Value

9.3.2.2.         Market Share & Forecast

9.3.2.2.1.             By Component

9.3.2.2.2.             By Technology

9.3.2.2.3.             By Deployment

9.3.2.2.4.             By Application

9.3.3.     Canada Cognitive Computing in Retail Market Outlook

9.3.3.1.         Market Size & Forecast

9.3.3.1.1.             By Value

9.3.3.2.         Market Share & Forecast

9.3.3.2.1.             By Component

9.3.3.2.2.             By Technology

9.3.3.2.3.             By Deployment

9.3.3.2.4.             By Application

10.  South America Cognitive Computing in Retail Market Outlook

10.1.              Market Size & Forecast

10.1.1.  By Value

10.2.              Market Share & Forecast

10.2.1.  By Component

10.2.2.  By Technology

10.2.3.  By Deployment

10.2.4.  By Application

10.2.5.  By Country

10.3.              South America: Country Analysis

10.3.1.  Brazil Cognitive Computing in Retail Market Outlook

10.3.1.1.      Market Size & Forecast

10.3.1.1.1.           By Value

10.3.1.2.      Market Share & Forecast

10.3.1.2.1.           By Component

10.3.1.2.2.           By Technology

10.3.1.2.3.           By Deployment

10.3.1.2.4.           By Application

10.3.2.  Argentina Cognitive Computing in Retail Market Outlook

10.3.2.1.      Market Size & Forecast

10.3.2.1.1.           By Value

10.3.2.2.      Market Share & Forecast

10.3.2.2.1.           By Component

10.3.2.2.2.           By Technology

10.3.2.2.3.           By Deployment

10.3.2.2.4.           By Application

10.3.3.  Colombia Cognitive Computing in Retail Market Outlook

10.3.3.1.      Market Size & Forecast

10.3.3.1.1.           By Value

10.3.3.2.      Market Share & Forecast

10.3.3.2.1.           By Component

10.3.3.2.2.           By Technology

10.3.3.2.3.           By Deployment

10.3.3.2.4.           By Application

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

11.1.              Market Size & Forecast

11.1.1.  By Value

11.2.              Market Share & Forecast

11.2.1.  By Component

11.2.2.  By Technology

11.2.3.  By Deployment

11.2.4.  By Application

11.2.5.  By Country

11.3.              MEA: Country Analysis

11.3.1.  South Africa Cognitive Computing in Retail Market Outlook

11.3.1.1.      Market Size & Forecast

11.3.1.1.1.           By Value

11.3.1.2.      Market Share & Forecast

11.3.1.2.1.           By Component

11.3.1.2.2.           By Technology

11.3.1.2.3.           By Deployment

11.3.1.2.4.           By Application

11.3.2.  Saudi Arabia Cognitive Computing in Retail Market Outlook

11.3.2.1.      Market Size & Forecast

11.3.2.1.1.           By Value

11.3.2.2.      Market Share & Forecast

11.3.2.2.1.           By Component

11.3.2.2.2.           By Technology

11.3.2.2.3.           By Deployment

11.3.2.2.4.           By Application

11.3.3.  UAE Cognitive Computing in Retail Market Outlook

11.3.3.1.      Market Size & Forecast

11.3.3.1.1.           By Value

11.3.3.2.      Market Share & Forecast

11.3.3.2.1.           By Component

11.3.3.2.2.           By Technology

11.3.3.2.3.           By Deployment

11.3.3.2.4.           By Application

12.  Market Dynamics

12.1.              Drivers

12.2.              Challenges

13.  Market Trends & Developments

14.  Competitive Landscape

14.1.              SparkCognition, Inc.

14.2.              Expert System USA

14.3.              IBM Corporation

14.4.              Microsoft Corporation

14.5.              Google LLC

14.6.              Teradata Corporation

14.7.              Cisco Systems, Inc.

14.8.              Hewlett Packard Enterprises Co.

14.9.              CognitiveScale, Inc.

14.10.            Deepmind Technologies

14.11.            Amazon Web Services, Inc.

14.12.            Enterra Solutions LLC

14.13.            SAS Institute, Inc.

14.14.            Virtusa Corporation

14.15.            Tata Consultancy Services Ltd.

15.  Strategic Recommendations

16. About Us & Disclaimer

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