Artificial Intelligence In Retail Market - 2024-2031

March 2024 | 59 pages | ID: AE0DA205559AEN
DataM Intelligence

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Artificial Intelligence In Retail Market reached US$ 5.5 billion in 2022 and is expected to reach US$ 55.4 billion by 2031, growing with a CAGR of 34.20% during the forecast period 2026-2031.

The Artificial Intelligence In Retail Market emerges as a key focus in DataM Intelligence latest in-depth analysis, where seasoned researchers harness advanced data analytics and strategic foresight to deliver unparalleled market intelligence. This insightful report meticulously explores the competitive landscape, profiling key players and their forward-thinking innovations in product development, pricing strategies, financial metrics, and global expansion initiatives. By uncovering the driving forces, market dynamics, and disruptive trends shaping the future, this research equips industry stakeholders with the actionable insights needed to make informed decisions in an increasingly dynamic and competitive environment.

A Artificial Intelligence In Retail Market is a data-driven software solution that collects, integrates, analyzes, and visualizes customer data across various touchpoints to generate actionable insights. These platforms help businesses understand customer behaviors, preferences, and purchasing patterns in real time, enabling personalized marketing, enhanced customer engagement, and data-driven decision-making.

By Offerings
  • Services *
  • Solutions
By Function
  • Operation-Focused*
  • Customer-Facing
By Deployment Type
  • Cloud*
  • On-Premise
By Application
  • Predictive Analytics*
  • In-Store Visual Monitoring & Surveillance
  • Customer Relationship Management
  • Market Forecasting
  • Others
By Technology
  • Computer Vision*
  • Machine Learning
  • Natural Language Processing
  • Others
Regional Analysis for Artificial Intelligence In Retail Market:
  • North America (U.S., Canada, Mexico)
  • Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)
  • Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)
  • South America (Colombia, Brazil, Argentina, Rest of South America)
  • Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)
This Report Covers:
  • Go-to-market Strategy.
  • Neutral perspective on the market performance.
  • Development trends, competitive landscape analysis, supply side analysis, demand side analysis, year-on-year growth, competitive benchmarking, vendor identification, and other significant analysis, as well as development status.
  • Customized regional/country reports as per request and country level analysis.
  • Potential & niche segments and regions exhibiting promising growth covered.
  • Analysis of Market Size (historical and forecast), Total Addressable Market (TAM), Serviceable Available Market (SAM), Serviceable Obtainable Market (SOM), Market Growth, Technological Trends, Market Share, Market Dynamics, Competitive Landscape and Major Players (Innovators, Start-ups, Laggard, and Pioneer).
Research Process:

Both primary and secondary data sources have been used in the global Artificial Intelligence In Retail Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.
1. METHODOLOGY AND SCOPE

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. DEFINITION AND OVERVIEW

3. EXECUTIVE SUMMARY

3.1. Snippet by Offerings
3.2. Snippet by Function
3.3. Snippet By Deployment Type
3.4. Snippet by Application
3.5. Snippet by Technology
3.6. Snippet by Region

4. DYNAMICS

4.1. Impacting Factors
  4.1.1. Drivers
    4.1.1.1. Adoption of AI in E-Commerce Industry
    4.1.1.2. Increasing Use of AI-Powered ChatBots that Improve Customer Experience Drives the Market
    4.1.1.3. AI-Powered Collaborations Revolutionize Retail Experiences
  4.1.2. Restraints
    4.1.2.1. Data Privacy and Inaccurate Data
  4.1.3. Impact Analysis

5. INDUSTRY ANALYSIS

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Russia-Ukraine War Impact Analysis
5.6. DMI Opinion

6. COVID-19 ANALYSIS

6.1. Analysis of COVID-19
  6.1.1. Scenario Before COVID
  6.1.2. Scenario During COVID
  6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. BY OFFERINGS

7.1. Introduction
  7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offerings
  7.1.2. Market Attractiveness Index, By Offerings
7.2. Services *
  7.2.1. Introduction
  7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Solutions

8. BY FUNCTION

8.1. Introduction
  8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
  8.1.2. Market Attractiveness Index, By Function
8.2. Operation-Focused*
  8.2.1. Introduction
  8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Customer-Facing

9. BY DEPLOYMENT TYPE

9.1. Introduction
  9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  9.1.2. Market Attractiveness Index, By Deployment Type
9.2. Cloud*
  9.2.1. Introduction
  9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. On-Premise

10. BY APPLICATION

10.1. Introduction
  10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  10.1.2. Market Attractiveness Index, By Application
10.2. Predictive Analytics*
  10.2.1. Introduction
  10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. In-Store Visual Monitoring & Surveillance
10.4. Customer Relationship Management
10.5. Market Forecasting
10.6. Others

11. BY TECHNOLOGY

11.1. Introduction
  11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  11.1.2. Market Attractiveness Index, By Technology
11.2. Computer Vision*
  11.2.1. Introduction
  11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
11.3. Machine Learning
11.4. Natural Language Processing
11.5. Others

12. BY REGION

12.1. Introduction
  12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
  12.1.2. Market Attractiveness Index, By Region
12.2. North America
  12.2.1. Introduction
  12.2.2. Key Region-Specific Dynamics
  12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offerings
  12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
  12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    12.2.8.1. U.S.
    12.2.8.2. Canada
    12.2.8.3. Mexico
12.3. Europe
  12.3.1. Introduction
  12.3.2. Key Region-Specific Dynamics
  12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offerings
  12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
  12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    12.3.8.1. Germany
    12.3.8.2. UK
    12.3.8.3. France
    12.3.8.4. Italy
    12.3.8.5. Russia
    12.3.8.6. Rest of Europe
12.4. South America
  12.4.1. Introduction
  12.4.2. Key Region-Specific Dynamics
  12.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offerings
  12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
  12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    12.4.8.1. Brazil
    12.4.8.2. Argentina
    12.4.8.3. Rest of South America
12.5. Asia-Pacific
  12.5.1. Introduction
  12.5.2. Key Region-Specific Dynamics
  12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offerings
  12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
  12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    12.5.8.1. China
    12.5.8.2. India
    12.5.8.3. Japan
    12.5.8.4. Australia
    12.5.8.5. Rest of Asia-Pacific
12.6. Middle East and Africa
  12.6.1. Introduction
  12.6.2. Key Region-Specific Dynamics
  12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offerings
  12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
  12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
  12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology

13. COMPETITIVE LANDSCAPE

13.1. Competitive Scenario
13.2. Market Positioning/Share Analysis
13.3. Mergers and Acquisitions Analysis

14. COMPANY PROFILES

14.1. Amazon.com, Inc.*
  14.1.1. Company Overview
  14.1.2. Product Portfolio and Description
  14.1.3. Financial Overview
  14.1.4. Key Developments
14.2. IBM Corporation
14.3. Intel Corporation
14.4. Google LLC
14.5. Salesforce.com, Inc.
14.6. SAP SE
14.7. Talkdesk, Inc.
14.8. Microsoft Corporation
14.9. Nvidia Corporation
14.10. Oracle Corporation (LIST NOT EXHAUSTIVE)

15. APPENDIX

15.1. About Us and Services
15.2. Contact Us


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