The artificial intelligence (AI) in retail market would grow at a CAGR of 18.45% over the predicted time frame. The market is expected to increase in value from US$ 8.41 Bn in 2022 to US$ 45.74 Bn in 2032.
The on artificial intelligence (AI) in retail Market, which provides a business strategy, research & development activities, concise outline of the market valuation, valuable insights pertaining to market share, size, supply chain analysis, competitive landscape and regional proliferation of this industry.
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A recent report provides crucial insights along with application based and forecast information in the Global Artificial intelligence (AI) in retail Market. The report provides a comprehensive analysis of key factors that are expected to drive the growth of this market. This study also provides a detailed overview of the opportunities along with the current trends observed in the Artificial intelligence (AI) in retail market.
A quantitative analysis of the industry is compiled for a period of 10 years in order to assist players to grow in the market. Insights on specific revenue figures generated are also given in the report, along with projected revenue at the end of the forecast period.
Companies and Manufacturers Covered
The study covers key players operating in the market along with prime schemes and strategies implemented by each player to hold high positions in the industry. Such a tough vendor landscape provides a competitive outlook of the industry, consequently existing as a key insight. These insights were thoroughly analysed and prime business strategies and products that offer high revenue generation capacities were identified. Key players of the global Artificial intelligence (AI) in retail market are included as given below:
Artificial intelligence (AI) in retail Market Key Players
- IBM Corporation
- Microsoft
- SAP SE
- Amazon Web Services
- Oracle
- Salesforce Inc.
- Intel
- NVIDIA
- Google LLC
- Sentient Technology
- ViSenze
Market Segments
By Component
- Solution
- Service
By Technology
- Image and Video Analytics
- Machine Learning
- Natural Language Processing
- Swarm Intelligence
- Chatbots
By Sales Channel
- Brick and Motor
- Omnichannel
- Pure-play Online Retailers
By Application
- In-Store Navigation
- Payment and Pricing Analytics
- Customer Relationship Management (CRM)
- Supply Chain and Logistics
- Inventory Management
- Product Optimization
- Virtual Assistant
- Others
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East & Africa (MEA)
Report Objectives
- To define, describe, and forecast the global artificial intelligence (AI) in retail market based on product, and region
- To provide detailed information regarding the major factors influencing the growth of the market (drivers, opportunities, and industry-specific challenges)
- To strategically analyze micromarkets1 with respect to individual growth trends, future prospects, and contributions to the total market
- To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
- To forecast the size of market segments with respect to four main regions—North America, Europe, Asia Pacific and the Rest of the World (RoW)2
- To strategically profile key players and comprehensively analyze their product portfolios, market shares, and core competencies3
- To track and analyze competitive developments such as acquisitions, expansions, new product launches, and partnerships in the artificial intelligence (AI) in retail market
Table of Content
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Artificial Intelligence In Retail Market
5.1. COVID-19 Landscape: Artificial Intelligence In Retail Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Artificial Intelligence In Retail Market, By Component
8.1. Artificial Intelligence In Retail Market, by Component, 2022-2032
8.1.1. Solution
8.1.1.1. Market Revenue and Forecast (2022-2032)
8.1.2. Service
8.1.2.1. Market Revenue and Forecast (2022-2032)
Chapter 9. Global Artificial Intelligence In Retail Market, By Technology
9.1. Artificial Intelligence In Retail Market, by Technology, 2022-2032
9.1.1. Image and Video Analytics
9.1.1.1. Market Revenue and Forecast (2022-2032)
9.1.2. Machine Learning
9.1.2.1. Market Revenue and Forecast (2022-2032)
9.1.3. Natural Language Processing
9.1.3.1. Market Revenue and Forecast (2022-2032)
9.1.4. Swarm Intelligence
9.1.4.1. Market Revenue and Forecast (2022-2032)
9.1.5. Chatbots
9.1.5.1. Market Revenue and Forecast (2022-2032)
Chapter 10. Global Artificial Intelligence In Retail Market, By Sales Channel
10.1. Artificial Intelligence In Retail Market, by Sales Channel, 2022-2032
10.1.1. Brick and Motor
10.1.1.1. Market Revenue and Forecast (2022-2032)
10.1.2. Omnichannel
10.1.2.1. Market Revenue and Forecast (2022-2032)
10.1.3. Pure-play Online Retailers
10.1.3.1. Market Revenue and Forecast (2022-2032)
Chapter 11. Global Artificial Intelligence In Retail Market, By Application
11.1. Artificial Intelligence In Retail Market, by Application, 2022-2032
11.1.1. In-Store Navigation
11.1.1.1. Market Revenue and Forecast (2022-2032)
11.1.2. Payment and Pricing Analytics
11.1.2.1. Market Revenue and Forecast (2022-2032)
11.1.3. Customer Relationship Management (CRM)
11.1.3.1. Market Revenue and Forecast (2022-2032)
11.1.4. Supply Chain and Logistics
11.1.4.1. Market Revenue and Forecast (2022-2032)
11.1.5. Inventory Management
11.1.5.1. Market Revenue and Forecast (2022-2032)
11.1.6. Product Optimization
11.1.6.1. Market Revenue and Forecast (2022-2032)
11.1.7. Virtual Assistant
11.1.7.1. Market Revenue and Forecast (2022-2032)
11.1.8. Others
11.1.8.1. Market Revenue and Forecast (2022-2032)
Chapter 12. Global Artificial Intelligence In Retail Market, Regional Estimates and Trend Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Component (2022-2032)
12.1.2. Market Revenue and Forecast, by Technology (2022-2032)
12.1.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.1.4. Market Revenue and Forecast, by Application (2022-2032)
12.1.5. U.S.
12.1.5.1. Market Revenue and Forecast, by Component (2022-2032)
12.1.5.2. Market Revenue and Forecast, by Technology (2022-2032)
12.1.5.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.1.5.4. Market Revenue and Forecast, by Application (2022-2032)
12.1.6. Rest of North America
12.1.6.1. Market Revenue and Forecast, by Component (2022-2032)
12.1.6.2. Market Revenue and Forecast, by Technology (2022-2032)
12.1.6.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.1.6.4. Market Revenue and Forecast, by Application (2022-2032)
12.2. Europe
12.2.1. Market Revenue and Forecast, by Component (2022-2032)
12.2.2. Market Revenue and Forecast, by Technology (2022-2032)
12.2.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.2.4. Market Revenue and Forecast, by Application (2022-2032)
12.2.5. UK
12.2.5.1. Market Revenue and Forecast, by Component (2022-2032)
12.2.5.2. Market Revenue and Forecast, by Technology (2022-2032)
12.2.5.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.2.5.4. Market Revenue and Forecast, by Application (2022-2032)
12.2.6. Germany
12.2.6.1. Market Revenue and Forecast, by Component (2022-2032)
12.2.6.2. Market Revenue and Forecast, by Technology (2022-2032)
12.2.6.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.2.6.4. Market Revenue and Forecast, by Application (2022-2032)
12.2.7. France
12.2.7.1. Market Revenue and Forecast, by Component (2022-2032)
12.2.7.2. Market Revenue and Forecast, by Technology (2022-2032)
12.2.7.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.2.7.4. Market Revenue and Forecast, by Application (2022-2032)
12.2.8. Rest of Europe
12.2.8.1. Market Revenue and Forecast, by Component (2022-2032)
12.2.8.2. Market Revenue and Forecast, by Technology (2022-2032)
12.2.8.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.2.8.4. Market Revenue and Forecast, by Application (2022-2032)
12.3. APAC
12.3.1. Market Revenue and Forecast, by Component (2022-2032)
12.3.2. Market Revenue and Forecast, by Technology (2022-2032)
12.3.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.3.4. Market Revenue and Forecast, by Application (2022-2032)
12.3.5. India
12.3.5.1. Market Revenue and Forecast, by Component (2022-2032)
12.3.5.2. Market Revenue and Forecast, by Technology (2022-2032)
12.3.5.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.3.5.4. Market Revenue and Forecast, by Application (2022-2032)
12.3.6. China
12.3.6.1. Market Revenue and Forecast, by Component (2022-2032)
12.3.6.2. Market Revenue and Forecast, by Technology (2022-2032)
12.3.6.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.3.6.4. Market Revenue and Forecast, by Application (2022-2032)
12.3.7. Japan
12.3.7.1. Market Revenue and Forecast, by Component (2022-2032)
12.3.7.2. Market Revenue and Forecast, by Technology (2022-2032)
12.3.7.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.3.7.4. Market Revenue and Forecast, by Application (2022-2032)
12.3.8. Rest of APAC
12.3.8.1. Market Revenue and Forecast, by Component (2022-2032)
12.3.8.2. Market Revenue and Forecast, by Technology (2022-2032)
12.3.8.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.3.8.4. Market Revenue and Forecast, by Application (2022-2032)
12.4. MEA
12.4.1. Market Revenue and Forecast, by Component (2022-2032)
12.4.2. Market Revenue and Forecast, by Technology (2022-2032)
12.4.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.4.4. Market Revenue and Forecast, by Application (2022-2032)
12.4.5. GCC
12.4.5.1. Market Revenue and Forecast, by Component (2022-2032)
12.4.5.2. Market Revenue and Forecast, by Technology (2022-2032)
12.4.5.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.4.5.4. Market Revenue and Forecast, by Application (2022-2032)
12.4.6. North Africa
12.4.6.1. Market Revenue and Forecast, by Component (2022-2032)
12.4.6.2. Market Revenue and Forecast, by Technology (2022-2032)
12.4.6.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.4.6.4. Market Revenue and Forecast, by Application (2022-2032)
12.4.7. South Africa
12.4.7.1. Market Revenue and Forecast, by Component (2022-2032)
12.4.7.2. Market Revenue and Forecast, by Technology (2022-2032)
12.4.7.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.4.7.4. Market Revenue and Forecast, by Application (2022-2032)
12.4.8. Rest of MEA
12.4.8.1. Market Revenue and Forecast, by Component (2022-2032)
12.4.8.2. Market Revenue and Forecast, by Technology (2022-2032)
12.4.8.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.4.8.4. Market Revenue and Forecast, by Application (2022-2032)
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Component (2022-2032)
12.5.2. Market Revenue and Forecast, by Technology (2022-2032)
12.5.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.5.4. Market Revenue and Forecast, by Application (2022-2032)
12.5.5. Brazil
12.5.5.1. Market Revenue and Forecast, by Component (2022-2032)
12.5.5.2. Market Revenue and Forecast, by Technology (2022-2032)
12.5.5.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.5.5.4. Market Revenue and Forecast, by Application (2022-2032)
12.5.6. Rest of LATAM
12.5.6.1. Market Revenue and Forecast, by Component (2022-2032)
12.5.6.2. Market Revenue and Forecast, by Technology (2022-2032)
12.5.6.3. Market Revenue and Forecast, by Sales Channel (2022-2032)
12.5.6.4. Market Revenue and Forecast, by Application (2022-2032)
Chapter 13. Company Profiles
13.1. IBM Corporation
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. Microsoft
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. SAP SE
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. Amazon Web Services
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. Oracle
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. Salesforce Inc.
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. Intel
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. NVIDIA
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. Recent Initiatives
13.9. Google LLC
13.9.1. Company Overview
13.9.2. Product Offerings
13.9.3. Financial Performance
13.9.4. Recent Initiatives
13.10. Sentient Technology
13.10.1. Company Overview
13.10.2. Product Offerings
13.10.3. Financial Performance
13.10.4. Recent Initiatives
Chapter 14. Research Methodology
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
Chapter 15. Appendix
15.1. About Us
15.2. Glossary of Terms
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