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市場調查報告書
商品編碼
1025690

全球零售認知計算市場:組件(平台、服務)、技術、部署、使用、地區、競爭預測和機會(2026 年)

Global Cognitive Computing in Retail Market, By Component (Platform, Services ), By Technology, By Deployment, By Application, By Region, Competition Forecast & Opportunities, 2026

出版日期: | 出版商: TechSci Research | 英文 115 Pages | 商品交期: 2-3個工作天內

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  • 全貌
  • 簡介
  • 目錄
簡介

在預測期內,全球零售認知計算市場預計將顯著增長。

旨在推進雲端計算技術以提高系統效率的持續研發活動預計將推動未來五年的市場增長。

由於消費者的消費能力增加,智能設備的銷量正在增加。公司正在積極利用認知計算解決方案來降低運營成本,並有望成為市場增長的途徑。此外,以實時監控分析消費者行為為目的的物聯網技術的引入以及5G技術的發展正在影響市場需求。

本報告調查了全球零售認知計算市場,包括市場規模、預測、市場份額、COVID-19 的影響、增長因素和挑戰、組件、技術、發展、應用程序、公司等。它提供了信息例如區域市場分析、競爭條件和主要公司的簡介。

目錄

第 1 章產品概述

第 2 章調查方法

第 3 章 COVID-19 對全球零售認知計算市場的影響

第 4 章執行摘要

第 5 章客戶反饋

  • 認知計算意識
  • 準備為零售商採用認知計算
  • 零售業採用認知計算的主要原因
  • 基於各種參數的滿意度
  • 採用零售認知計算緩解了主要挑戰
  • 採用認知計算面臨的主要挑戰

第 6 章零售認知計算市場展望

  • 市場規模和預測
    • 按銷售額
  • 市場份額及預測
    • 按組件(平台、服務(管理、專業))
    • 按技術(機器學習、自然語言處理、深度學習、機器人、計算機/機器視覺)
    • 按部署(雲端、本地)
    • 按應用(客戶體驗、價格優化、需求預測、庫存控制、自動化等)
    • 按公司 (2020)
    • 按地區
  • 市場吸引力指數

第 7 章亞太市場展望

  • 市場規模和預測
    • 按銷售額
  • 市場份額及預測
    • 按組件
    • 按技術
    • 按部署
    • 按應用程序
    • 按國家/地區
  • 亞太地區:國家分析
    • 中國
    • 印度
    • 澳大利亞
    • 日本
    • 韓國

第 8 章歐洲市場展望

  • 市場規模和預測
    • 按銷售額
  • 市場份額及預測
    • 按組件
    • 按技術
    • 按部署
    • 按應用程序
    • 按國家/地區
  • 歐洲:國家分析
    • 法國
    • 德國
    • 英國
    • 意大利
    • 西班牙

第 9 章北美市場展望

  • 市場規模和預測
    • 按銷售額
  • 市場份額及預測
    • 按組件
    • 按技術
    • 按部署
    • 按應用程序
    • 按國家/地區
  • 北美:國家分析
    • 美國
    • 墨西哥
    • 加拿大

第 10 章南美市場展望

  • 市場規模和預測
    • 按銷售額
  • 市場份額及預測
    • 按組件
    • 按技術
    • 按部署
    • 按應用程序
    • 按國家/地區
  • 南美洲:國家分析
    • 巴西
    • 阿根廷
    • 哥倫比亞

第 11 章中東和非洲市場展望

  • 市場規模和預測
    • 按銷售額
  • 市場份額及預測
    • 按組件
    • 按技術
    • 按部署
    • 按應用程序
    • 按國家/地區
  • 中東/非洲:國家分析
    • 南非
    • 沙特阿拉伯
    • 阿聯酋

第 12 章市場動態

  • 增長因素
  • 挑戰

第 13 章市場趨勢

第 14 章競爭形勢

  • 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.

第 15 章戰略建議

第 16 章關於我們和免責聲明

目錄
Product Code: 7706

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.

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

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).

Table of Contents

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