Artificial Intelligence in Retail Market by Technology (Machine Learning & Deep Learning, Natural Language Processing), Type (Offline Retail, Online Retail), Service, Solution, Deployment Mode, Application - Global Forecast 2024-2030
Artificial Intelligence in Retail Market by Technology (Machine Learning & Deep Learning, Natural Language Processing), Type (Offline Retail, Online Retail), Service, Solution, Deployment Mode, Application - Global Forecast 2024-2030
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.
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:
Market Penetration: It presents comprehensive information on the market provided by key players.
Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
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.
Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
The report addresses key questions such as:
What is the market size and forecast of the Artificial Intelligence in Retail Market?
Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Retail Market?
What are the technology trends and regulatory frameworks in the Artificial Intelligence in Retail Market?
What is the market share of the leading vendors in the Artificial Intelligence in Retail Market?
Which modes and strategic moves are suitable for entering the Artificial Intelligence in Retail Market?
Note: PDF & Excel + Online Access - 1 Year
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
FIGURE 1. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET RESEARCH PROCESS
FIGURE 2. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, 2023 VS 2030