Artificial Intelligence in Retail Market by Technology, Type, Service, Solution, Deployment Mode, Application

Description

List of Tables

[180 Pages Report] The Artificial Intelligence in Retail Market size was estimated at USD 4.01 billion in 2023 and expected to reach USD 4.68 billion in 2024, at a CAGR 16.88% to reach USD 11.97 billion by 2030.

Global Artificial Intelligence in Retail Market

KEY MARKET STATISTICS
Base Year [2023]	USD 4.01 billion
Estimated Year [2024]	USD 4.68 billion
Forecast Year [2030]	USD 11.97 billion
CAGR (%)	16.88%

Artificial Intelligence in Retail Market - IMG1

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Retail Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Retail Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Retail Market, highlighting leading vendors and their innovative profiles. These include Algolia, Inc., Amazon.com, Inc., BloomReach, Inc., Bolt Financial, Inc., Forter, Ltd., Google LLC by Alphabet Inc., Intel Corporation, International Business Machines Corporation, Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, Salesforce, Inc., SAP SE, Talkdesk, Inc., and ViSenze Pte. Ltd.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Retail Market to forecast the revenues and analyze trends in each of the following sub-markets:

Technology
- Machine Learning & Deep Learning
  - Emotion Detection
  - Facial Recognition
- Natural Language Processing
Type
- Offline Retail
- Online Retail
Service
- Managed Services
- Professional Services
Solution
- Customer Relationship Management
- Payment Services Management
- Price Optimization
- Product Recommendation & Planning
- Supply Chain Management & Demand Planning
- Virtual Assistant
- Visual Search
Deployment Mode
- On-Cloud
- On-Premises
Application
- In-Store Visual Monitoring & Surveillance
- Location-Based Marketing
- Market Forecasting
- Predictive Merchandising
- Programmatic Advertising
Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam
- Europe, Middle East & Africa
  - Denmark
  - Egypt
  - Finland
  - France
  - Germany
  - Israel
  - Italy
  - Netherlands
  - Nigeria
  - Norway
  - Poland
  - Qatar
  - Russia
  - Saudi Arabia
  - South Africa
  - Spain
  - Sweden
  - Switzerland
  - Turkey
  - United Arab Emirates
  - United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Artificial Intelligence in Retail Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Retail Market?

3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Retail Market?

4. What is the market share of the leading vendors in the Artificial Intelligence in Retail Market?

5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Retail Market?

Product Code: MRR-031BF22F9556

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

4.1. Introduction
4.2. Artificial Intelligence in Retail Market, by Region

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Rising requirements for superior surveillance and monitoring in organized retails
  - 5.1.1.2. Increasing adoption for data analytics and business decision
  - 5.1.1.3. Improve productivity, reduce waste, and enhance customer experience
- 5.1.2. Restraints
  - 5.1.2.1. Compatibility issues with existing structure
- 5.1.3. Opportunities
  - 5.1.3.1. Smart mirror and smart displays with gesture recognition
  - 5.1.3.2. Growing organized retail sector in developing countries
- 5.1.4. Challenges
  - 5.1.4.1. Data privacy and security concern
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter's Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework

6. Artificial Intelligence in Retail Market, by Technology

6.1. Introduction
6.2. Machine Learning & Deep Learning
- 6.3.1. Emotion Detection
- 6.3.2. Facial Recognition
6.3. Natural Language Processing

7. Artificial Intelligence in Retail Market, by Type

7.1. Introduction
7.2. Offline Retail
7.3. Online Retail

8. Artificial Intelligence in Retail Market, by Service

8.1. Introduction
8.2. Managed Services
8.3. Professional Services

9. Artificial Intelligence in Retail Market, by Solution

9.1. Introduction
9.2. Customer Relationship Management
9.3. Payment Services Management
9.4. Price Optimization
9.5. Product Recommendation & Planning
9.6. Supply Chain Management & Demand Planning
9.7. Virtual Assistant
9.8. Visual Search

10. Artificial Intelligence in Retail Market, by Deployment Mode

10.1. Introduction
10.2. On-Cloud
10.3. On-Premises

11. Artificial Intelligence in Retail Market, by Application

11.1. Introduction
11.2. In-Store Visual Monitoring & Surveillance
11.3. Location-Based Marketing
11.4. Market Forecasting
11.5. Predictive Merchandising
11.6. Programmatic Advertising

12. Americas Artificial Intelligence in Retail Market

12.1. Introduction
12.2. Argentina
12.3. Brazil
12.4. Canada
12.5. Mexico
12.6. United States

13. Asia-Pacific Artificial Intelligence in Retail Market

13.1. Introduction
13.2. Australia
13.3. China
13.4. India
13.5. Indonesia
13.6. Japan
13.7. Malaysia
13.8. Philippines
13.9. Singapore
13.10. South Korea
13.11. Taiwan
13.12. Thailand
13.13. Vietnam

14. Europe, Middle East & Africa Artificial Intelligence in Retail Market

14.1. Introduction
14.2. Denmark
14.3. Egypt
14.4. Finland
14.5. France
14.6. Germany
14.7. Israel
14.8. Italy
14.9. Netherlands
14.10. Nigeria
14.11. Norway
14.12. Poland
14.13. Qatar
14.14. Russia
14.15. Saudi Arabia
14.16. South Africa
14.17. Spain
14.18. Sweden
14.19. Switzerland
14.20. Turkey
14.21. United Arab Emirates
14.22. United Kingdom

15. Competitive Landscape

15.1. FPNV Positioning Matrix
15.2. Market Share Analysis, By Key Player
15.3. Competitive Scenario Analysis, By Key Player

16. Competitive Portfolio

16.1. Key Company Profiles
- 16.1.1. Algolia, Inc.
- 16.1.2. Amazon.com, Inc.
- 16.1.3. BloomReach, Inc.
- 16.1.4. Bolt Financial, Inc.
- 16.1.5. Forter, Ltd.
- 16.1.6. Google LLC by Alphabet Inc.
- 16.1.7. Intel Corporation
- 16.1.8. International Business Machines Corporation
- 16.1.9. Microsoft Corporation
- 16.1.10. NVIDIA Corporation
- 16.1.11. Oracle Corporation
- 16.1.12. Salesforce, Inc.
- 16.1.13. SAP SE
- 16.1.14. Talkdesk, Inc.
- 16.1.15. ViSenze Pte. Ltd
16.2. Key Product Portfolio

17. Appendix

17.1. Discussion Guide
17.2. License & Pricing