Artificial Intelligence (AI) In Retail Market Report
RA05991
Artificial Intelligence (AI) in Retail Market, by Component (Cloud, On-Premises), Technology (Machine Learning and Deep Learning, Natural Language Processing, Others), Solutions (Product Recommendation and Planning, Customer Relationship Management, Visual Search, Virtual Assistant, Price Optimization, Payment Services management, Supply chain management and Demand Planning, Others), Application (Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, Other), Type (Online, Offline), Services (Professional Services, Managed Services): Global Opportunity Analysis and Industry Forecast, 2020-2027
The global artificial intelligence (ai) in retail market is estimated to surpass $27,548.6 million by 2027, exhibiting a CAGR of 39.0% from 2020 to 2027.
The report provides all-inclusive analysis of global artificial intelligence (ai) in retail market with comprehensive study of the various facets of the market including market dynamics, major segments and regions, top leading players, and competitive landscape.
The report emphasizes current market scenario and future trends of the global artificial intelligence (ai) in retail market which gleaned from the impact of various market dynamics such as drivers, challenges & restraints, lucrative opportunities. The report also highlights the key forces that are shaping the market. Besides, the report provides Porter’s five forces analysis which precisely underlines the impact of key forces on the global artificial intelligence (ai) in retail market.
In addition, the report provides market size and forecast scrutinizing global artificial intelligence (ai) in retail market through different segments. The report highlights the geographical market analysis of these segments and each segment is thoroughly studied at regional as well as country level to get clearer picture of the global artificial intelligence (ai) in retail market. In the report, the global artificial intelligence (ai) in retail market is divided into four major regions including North America, Europe, Asia-Pacific, and LAMEA. These regions are further divided into major countries to cover artificial intelligence (ai) in retail market landscape in respective regions.
Furthermore, competitive scenario of the global artificial intelligence (ai) in retail market is covered in the report. Major players functioning in the global artificial intelligence (ai) in retail market are also studied to understand their position and competitive strengths in the industry. The major company profiles covered in the report include various company’s datum such as brief overview, recent financials, main executives, adoption of key growth strategies, novel advancements or initiatives to sustain and expand their position in the global artificial intelligence (ai) in retail market, and others.
RESEARCH METHODOLOGY
The research report is drafted by in-house research analysts who sincerely examine the market scenario and form predictions. The market forecasts specified in the report have been derived using proven research approaches and analytical models & tools. The use of such pioneering and effective tools helps market analysts in analyzing, filtering, and providing highly precise statistics and estimates. The report provides an extensive research and analysis backed with factual data obtained from various interviews with market players, reliable and renowned sources of data, and regional intelligence. The insights provided in the report can help investors, stakeholders, and market players to understand investment suitability and seize opportunities for advancements, investments, and partnerships in the global artificial intelligence (ai) in retail market.
The research report is formulated by collecting different information, news, and statistics about the artificial intelligence (ai) in retail market. For instance, detailed interviews and discussions with veteran market players and stakeholders, including upstream and downstream members have been conducted to obtain reliable and realistic data. Even though primary research forms the crucial part of the research report, secondary research plays a significant role in backing the research outcomes. Nearly 5,900 product type literatures, business magazines, company annual reports, and other such significant documents of leading market players have been considered and studied for thorough understanding of the market scenario. In addition, truthful industry bulletins, medical newsletters, trade associations’ journals, and government websites have been explored for tracking down high-value market insights.
KEY MARKET BENEFITS
- The report provides the market size and predictions for the period from 2019 to 2027
- This report delivers inventions, trends, and innovative developments along with an exhaustive quantitative analysis of the artificial intelligence (ai) in retail market during the period of forecast
- The prevailing and forthcoming investment opportunities along with the strategic assessment of the global artificial intelligence (ai) in retail market growth is delivered
- The market size and forecasts are derived by scrutinizing market boomers and restraints, and key developments in the artificial intelligence (ai) in retail market
- Insights into foremost market players, Porter’s Five Analysis, and top winning business strategies is provided
- Growth tactics and initiatives taken by the top market players are outlined to understand the competitive scenario and strength of the market
KEY MARKET SEGMENTS
The report segments the global market into component ,technology ,solutions ,application ,type ,services and region.
- Component: Cloud, On-Premises
- Technology: Machine Learning and Deep Learning, Natural Language Processing, Others
- Solutions: Product Recommendation and Planning, Customer Relationship Management, Visual Search, Virtual Assistant, Price Optimization, Payment Services management, Supply chain management and Demand Planning, Others
- Application: Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, Other
- Type: Online, Offline
- Services: Professional Services, Managed Services
Regionally, the report evaluates the global market across North America, Europe, Asia Pacific, and LAMEA.
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- UK
- France
- Spain
- Italy
- Rest of Europe
- Asia-Pacific
- Japan
- China
- India
- Australia
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Brazil
- Argentina
- Saudi Arabia
- South Africa
- UAE
- Rest of LAMEA
KEY MARKET PLAYERS
The global artificial intelligence (ai) in retail market is consolidated with the presence of large number of key players. These players are increasingly focusing on innovation, geographical expansion of product portfolios, and novel developments to obtain a competitive edge in the market space. The report summarizes various aspects of all these key players including financial performance, product portfolio, recent strategic moves & developments, and SWOT analysis.
Players in global artificial intelligence (ai) in retail market include:
1. IBM (US)
2. Microsoft (US)
3. Amazon Web Services (US)
4. Oracle (US)
5. SAP (Germany)
6. Intel (US)
7. NVIDIA (US)
8. Google (US)
9. Sentient technologies (US)
10. Salesforce (US)
11. and ViSenze (Singapore)
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1. RESEARCH METHODOLOGY
1.1. Desk Research
1.2. Real time insights and validation
1.3. Forecast model
1.4. Assumptions and forecast parameters
1.5. Market size estimation
1.5.1. Top-down approach
1.5.2. Bottom-up approach
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2. REPORT SCOPE
2.1. Market definition
2.2. Key objectives of the study
2.3. Report overview
2.4. Market segmentation
2.5. Overview of the impact of COVID-19 on Global Artificial Intelligence (AI) in Retail Market
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3. EXECUTIVE SUMMARY
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4. MARKET OVERVIEW
4.1. Introduction
4.2. Growth impact forces
4.2.1. Drivers
4.2.2. Restraints
4.2.3. Opportunities
4.3. Market value chain analysis
4.3.1. List of raw material suppliers
4.3.2. List of manufacturers
4.3.3. List of distributors
4.4. Innovation & sustainability matrices
4.4.1. Technology matrix
4.4.2. Regulatory matrix
4.5. Porter’s five forces analysis
4.5.1. Bargaining power of suppliers
4.5.2. Bargaining power of consumers
4.5.3. Threat of substitutes
4.5.4. Threat of new entrants
4.5.5. Competitive rivalry intensity
4.6. PESTLE analysis
4.6.1. Political
4.6.2. Economical
4.6.3. Social
4.6.4. Technological
4.6.5. Environmental
4.7. Impact of COVID-19 on Artificial Intelligence (AI) in Retail Market
4.7.1. Pre-covid market scenario
4.7.2. Post-covid market scenario
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5. Artificial Intelligence (AI) In Retail Market, By Product
5.1. Overview
5.2 Cloud
5.2.1 Definition, key trends, growth factors, and opportunities
5.2.2 Market size analysis, by region, 2020-2027
5.2.3 Market share analysis, by country, 2020-2027
5.3 On-Premises
5.3.1 Definition, key trends, growth factors, and opportunities
5.3.2 Market size analysis, by region, 2020-2027
5.3.3 Market share analysis, by country, 2020-2027
5.4 Research Dive Exclusive Insights
5.4.1 Market attractiveness
5.4.2 Competition heatmap
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6. Artificial Intelligence (AI) In Retail Market, By Deployment
6.1. Overview
6.2 Machine Learning and Deep Learning
6.2.1 Definition, key trends, growth factors, and opportunities
6.2.2 Market size analysis, by region, 2020-2027
6.2.3 Market share analysis, by country, 2020-2027
6.3 Natural Language Processing
6.3.1 Definition, key trends, growth factors, and opportunities
6.3.2 Market size analysis, by region, 2020-2027
6.3.3 Market share analysis, by country, 2020-2027
6.4 Others
6.4.1 Definition, key trends, growth factors, and opportunities
6.4.2 Market size analysis, by region, 2020-2027
6.4.3 Market share analysis, by country, 2020-2027
6.5 Research Dive Exclusive Insights
6.5.1 Market attractiveness
6.5.2 Competition heatmap
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7. Artificial Intelligence (AI) In Retail Market, By Application
7.1. Overview
7.2 Product Recommendation and Planning
7.2.1 Definition, key trends, growth factors, and opportunities
7.2.2 Market size analysis, by region, 2020-2027
7.2.3 Market share analysis, by country, 2020-2027
7.3 Customer Relationship Management
7.3.1 Definition, key trends, growth factors, and opportunities
7.3.2 Market size analysis, by region, 2020-2027
7.3.3 Market share analysis, by country, 2020-2027
7.4 Visual Search
7.4.1 Definition, key trends, growth factors, and opportunities
7.4.2 Market size analysis, by region, 2020-2027
7.4.3 Market share analysis, by country, 2020-2027
7.5 Virtual Assistant
7.5.1 Definition, key trends, growth factors, and opportunities
7.5.2 Market size analysis, by region, 2020-2027
7.5.3 Market share analysis, by country, 2020-2027
7.6 Price Optimization
7.6.1 Definition, key trends, growth factors, and opportunities
7.6.2 Market size analysis, by region, 2020-2027
7.6.3 Market share analysis, by country, 2020-2027
7.7 Payment Services management
7.7.1 Definition, key trends, growth factors, and opportunities
7.7.2 Market size analysis, by region, 2020-2027
7.7.3 Market share analysis, by country, 2020-2027
7.8 Supply chain management and Demand Planning
7.8.1 Definition, key trends, growth factors, and opportunities
7.8.2 Market size analysis, by region, 2020-2027
7.8.3 Market share analysis, by country, 2020-2027
7.9 Others
7.9.1 Definition, key trends, growth factors, and opportunities
7.9.2 Market size analysis, by region, 2020-2027
7.9.3 Market share analysis, by country, 2020-2027
7.10 Research Dive Exclusive Insights
7.10.1 Market attractiveness
7.10.2 Competition heatmap
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8. Artificial Intelligence (AI) In Retail Market, By End Use
8.1. Overview
8.2 Predictive Merchandising
8.2.1 Definition, key trends, growth factors, and opportunities
8.2.2 Market size analysis, by region, 2020-2027
8.2.3 Market share analysis, by country, 2020-2027
8.3 Programmatic Advertising
8.3.1 Definition, key trends, growth factors, and opportunities
8.3.2 Market size analysis, by region, 2020-2027
8.3.3 Market share analysis, by country, 2020-2027
8.4 Market Forecasting
8.4.1 Definition, key trends, growth factors, and opportunities
8.4.2 Market size analysis, by region, 2020-2027
8.4.3 Market share analysis, by country, 2020-2027
8.5 In-Store Visual Monitoring and Surveillance
8.5.1 Definition, key trends, growth factors, and opportunities
8.5.2 Market size analysis, by region, 2020-2027
8.5.3 Market share analysis, by country, 2020-2027
8.6 Location-Based Marketing
8.6.1 Definition, key trends, growth factors, and opportunities
8.6.2 Market size analysis, by region, 2020-2027
8.6.3 Market share analysis, by country, 2020-2027
8.7 Other
8.7.1 Definition, key trends, growth factors, and opportunities
8.7.2 Market size analysis, by region, 2020-2027
8.7.3 Market share analysis, by country, 2020-2027
8.8 Research Dive Exclusive Insights
8.8.1 Market attractiveness
8.8.2 Competition heatmap
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9. Artificial Intelligence (AI) In Retail Market, By End User
9.1. Overview
9.2 Online
9.2.1 Definition, key trends, growth factors, and opportunities
9.2.2 Market size analysis, by region, 2020-2027
9.2.3 Market share analysis, by country, 2020-2027
9.3 Offline
9.3.1 Definition, key trends, growth factors, and opportunities
9.3.2 Market size analysis, by region, 2020-2027
9.3.3 Market share analysis, by country, 2020-2027
9.4 Research Dive Exclusive Insights
9.4.1 Market attractiveness
9.4.2 Competition heatmap
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10. Artificial Intelligence (AI) In Retail Market, By Price
10.1. Overview
10.2 Professional Services
10.2.1 Definition, key trends, growth factors, and opportunities
10.2.2 Market size analysis, by region, 2020-2027
10.2.3 Market share analysis, by country, 2020-2027
10.3 Managed Services
10.3.1 Definition, key trends, growth factors, and opportunities
10.3.2 Market size analysis, by region, 2020-2027
10.3.3 Market share analysis, by country, 2020-2027
10.4 Research Dive Exclusive Insights
10.4.1 Market attractiveness
10.4.2 Competition heatmap
11. Artificial Intelligence (AI) In Retail Market, By Region
11.1 North America
11.1.1 U.S
11.1.1.1 Market size analysis, By Product, 2020-2027
11.1.1.2 Market size analysis, By Deployment, 2020-2027
11.1.1.3 Market size analysis, By Application, 2020-2027
11.1.1.4 Market size analysis, By End Use, 2020-2027
11.1.1.5 Market size analysis, By End User, 2020-2027
11.1.1.6 Market size analysis, By Price , 2020-2027
11.1.2 Canada
11.1.2.1 Market size analysis, By Product, 2020-2027
11.1.2.2 Market size analysis, By Deployment, 2020-2027
11.1.2.3 Market size analysis, By Application, 2020-2027
11.1.2.4 Market size analysis, By End Use, 2020-2027
11.1.2.5 Market size analysis, By End User, 2020-2027
11.1.2.6 Market size analysis, By Price , 2020-2027
11.1.3 Mexico
11.1.3.1 Market size analysis, By Product, 2020-2027
11.1.3.2 Market size analysis, By Deployment, 2020-2027
11.1.3.3 Market size analysis, By Application, 2020-2027
11.1.3.4 Market size analysis, By End Use, 2020-2027
11.1.3.5 Market size analysis, By End User, 2020-2027
11.1.3.6 Market size analysis, By Price , 2020-2027
11.1.4 Research Dive Exclusive Insights
11.1.4.1 Market attractiveness
11.1.4.2 Competition heatmap
11.2 Europe
11.2.1 Germany
11.2.1.1 Market size analysis, By Product, 2020-2027
11.2.1.2 Market size analysis, By Deployment, 2020-2027
11.2.1.3 Market size analysis, By Application, 2020-2027
11.2.1.4 Market size analysis, By End Use, 2020-2027
11.2.1.5 Market size analysis, By End User, 2020-2027
11.2.1.6 Market size analysis, By Price , 2020-2027
11.2.2 UK
11.2.2.1 Market size analysis, By Product, 2020-2027
11.2.2.2 Market size analysis, By Deployment, 2020-2027
11.2.2.3 Market size analysis, By Application, 2020-2027
11.2.2.4 Market size analysis, By End Use, 2020-2027
11.2.2.5 Market size analysis, By End User, 2020-2027
11.2.2.6 Market size analysis, By Price , 2020-2027
11.2.3 France
11.2.3.1 Market size analysis, By Product, 2020-2027
11.2.3.2 Market size analysis, By Deployment, 2020-2027
11.2.3.3 Market size analysis, By Application, 2020-2027
11.2.3.4 Market size analysis, By End Use, 2020-2027
11.2.3.5 Market size analysis, By End User, 2020-2027
11.2.3.6 Market size analysis, By Price , 2020-2027
11.2.4 Spain
11.2.4.1 Market size analysis, By Product, 2020-2027
11.2.4.2 Market size analysis, By Deployment, 2020-2027
11.2.4.3 Market size analysis, By Application, 2020-2027
11.2.4.4 Market size analysis, By End Use, 2020-2027
11.2.4.5 Market size analysis, By End User, 2020-2027
11.2.4.6 Market size analysis, By Price , 2020-2027
11.2.5 Italy
11.2.5.1 Market size analysis, By Product, 2020-2027
11.2.5.2 Market size analysis, By Deployment, 2020-2027
11.2.5.3 Market size analysis, By Application, 2020-2027
11.2.5.4 Market size analysis, By End Use, 2020-2027
11.2.5.5 Market size analysis, By End User, 2020-2027
11.2.5.6 Market size analysis, By Price , 2020-2027
11.2.6 Rest of Europe
11.2.6.1 Market size analysis, By Product, 2020-2027
11.2.6.2 Market size analysis, By Deployment, 2020-2027
11.2.6.3 Market size analysis, By Application, 2020-2027
11.2.6.4 Market size analysis, By End Use, 2020-2027
11.2.6.5 Market size analysis, By End User, 2020-2027
11.2.6.6 Market size analysis, By Price , 2020-2027
11.2.7 Research Dive Exclusive Insights
11.2.7.1 Market attractiveness
11.2.7.2 Competition heatmap
11.3 Asia-Pacific
11.3.1 China
11.3.1.1 Market size analysis, By Product, 2020-2027
11.3.1.2 Market size analysis, By Deployment, 2020-2027
11.3.1.3 Market size analysis, By Application, 2020-2027
11.3.1.4 Market size analysis, By End Use, 2020-2027
11.3.1.5 Market size analysis, By End User, 2020-2027
11.3.1.6 Market size analysis, By Price , 2020-2027
11.3.2 Japan
11.3.2.1 Market size analysis, By Product, 2020-2027
11.3.2.2 Market size analysis, By Deployment, 2020-2027
11.3.2.3 Market size analysis, By Application, 2020-2027
11.3.2.4 Market size analysis, By End Use, 2020-2027
11.3.2.5 Market size analysis, By End User, 2020-2027
11.3.2.6 Market size analysis, By Price , 2020-2027
11.3.3 India
11.3.3.1 Market size analysis, By Product, 2020-2027
11.3.3.2 Market size analysis, By Deployment, 2020-2027
11.3.3.3 Market size analysis, By Application, 2020-2027
11.3.3.4 Market size analysis, By End Use, 2020-2027
11.3.3.5 Market size analysis, By End User, 2020-2027
11.3.3.6 Market size analysis, By Price , 2020-2027
11.3.4 Australia
11.3.4.1 Market size analysis, By Product, 2020-2027
11.3.4.2 Market size analysis, By Deployment, 2020-2027
11.3.4.3 Market size analysis, By Application, 2020-2027
11.3.4.4 Market size analysis, By End Use, 2020-2027
11.3.4.5 Market size analysis, By End User, 2020-2027
11.3.4.6 Market size analysis, By Price , 2020-2027
11.3.5 South Korea
11.3.5.1 Market size analysis, By Product, 2020-2027
11.3.5.2 Market size analysis, By Deployment, 2020-2027
11.3.5.3 Market size analysis, By Application, 2020-2027
11.3.5.4 Market size analysis, By End Use, 2020-2027
11.3.5.5 Market size analysis, By End User, 2020-2027
11.3.5.6 Market size analysis, By Price , 2020-2027
11.3.6 Rest of Asia-Pacific
11.3.6.1 Market size analysis, By Product, 2020-2027
11.3.6.2 Market size analysis, By Deployment, 2020-2027
11.3.6.3 Market size analysis, By Application, 2020-2027
11.3.6.4 Market size analysis, By End Use, 2020-2027
11.3.6.5 Market size analysis, By End User, 2020-2027
11.3.6.6 Market size analysis, By Price , 2020-2027
11.3.7 Research Dive Exclusive Insights
11.3.7.1 Market attractiveness
11.3.7.2 Competition heatmap
11.4 LAMEA
11.4.1 Brazil
11.4.1.1 Market size analysis, By Product, 2020-2027
11.4.1.2 Market size analysis, By Deployment, 2020-2027
11.4.1.3 Market size analysis, By Application, 2020-2027
11.4.1.4 Market size analysis, By End Use, 2020-2027
11.4.1.5 Market size analysis, By End User, 2020-2027
11.4.1.6 Market size analysis, By Price , 2020-2027
11.4.2 Saudi Arabia
11.4.2.1 Market size analysis, By Product, 2020-2027
11.4.2.2 Market size analysis, By Deployment, 2020-2027
11.4.2.3 Market size analysis, By Application, 2020-2027
11.4.2.4 Market size analysis, By End Use, 2020-2027
11.4.2.5 Market size analysis, By End User, 2020-2027
11.4.2.6 Market size analysis, By Price , 2020-2027
11.4.3 UAE
11.4.3.1 Market size analysis, By Product, 2020-2027
11.4.3.2 Market size analysis, By Deployment, 2020-2027
11.4.3.3 Market size analysis, By Application, 2020-2027
11.4.3.4 Market size analysis, By End Use, 2020-2027
11.4.3.5 Market size analysis, By End User, 2020-2027
11.4.3.6 Market size analysis, By Price , 2020-2027
11.4.4 South Africa
11.4.4.1 Market size analysis, By Product, 2020-2027
11.4.4.2 Market size analysis, By Deployment, 2020-2027
11.4.4.3 Market size analysis, By Application, 2020-2027
11.4.4.4 Market size analysis, By End Use, 2020-2027
11.4.4.5 Market size analysis, By End User, 2020-2027
11.4.4.6 Market size analysis, By Price , 2020-2027
11.4.5 Rest of LAMEA
11.4.5.1 Market size analysis, By Product, 2020-2027
11.4.5.2 Market size analysis, By Deployment, 2020-2027
11.4.5.3 Market size analysis, By Application, 2020-2027
11.4.5.4 Market size analysis, By End Use, 2020-2027
11.4.5.5 Market size analysis, By End User, 2020-2027
11.4.5.6 Market size analysis, By Price , 2020-2027
11.4.6 Research Dive Exclusive Insights
11.4.6.1 Market attractiveness
11.4.6.2 Competition heatmap
12. Competitive Landscape
12.1 Top winning strategies, 2020-2027
12.1.1 By strategy
12.1.2 By year
12.2 Strategic overview
12.3 Market share analysis, 2020-2027
13. Company Profiles
13.1 IBM (US)
13.1.1 Overview
13.1.2 Business segments
13.1.3 Product portfolio
13.1.4 Financial performance
13.1.5 Recent developments
13.1.6 SWOT analysis
13.2 Microsoft (US)
13.2.1 Overview
13.2.2 Business segments
13.2.3 Product portfolio
13.2.4 Financial performance
13.2.5 Recent developments
13.2.6 SWOT analysis
13.3 Amazon Web Services (US)
13.3.1 Overview
13.3.2 Business segments
13.3.3 Product portfolio
13.3.4 Financial performance
13.3.5 Recent developments
13.3.6 SWOT analysis
13.4 Oracle (US)
13.4.1 Overview
13.4.2 Business segments
13.4.3 Product portfolio
13.4.4 Financial performance
13.4.5 Recent developments
13.4.6 SWOT analysis
13.5 SAP (Germany)
13.5.1 Overview
13.5.2 Business segments
13.5.3 Product portfolio
13.5.4 Financial performance
13.5.5 Recent developments
13.5.6 SWOT analysis
13.6 Intel (US)
13.6.1 Overview
13.6.2 Business segments
13.6.3 Product portfolio
13.6.4 Financial performance
13.6.5 Recent developments
13.6.6 SWOT analysis
13.7 NVIDIA (US)
13.7.1 Overview
13.7.2 Business segments
13.7.3 Product portfolio
13.7.4 Financial performance
13.7.5 Recent developments
13.7.6 SWOT analysis
13.8 Google (US)
13.8.1 Overview
13.8.2 Business segments
13.8.3 Product portfolio
13.8.4 Financial performance
13.8.5 Recent developments
13.8.6 SWOT analysis
13.9 Sentient technologies (US)
13.9.1 Overview
13.9.2 Business segments
13.9.3 Product portfolio
13.9.4 Financial performance
13.9.5 Recent developments
13.9.6 SWOT analysis
13.10 Salesforce (US)
13.10.1 Overview
13.10.2 Business segments
13.10.3 Product portfolio
13.10.4 Financial performance
13.10.5 Recent developments
13.10.6 SWOT analysis
13.11 and ViSenze (Singapore)
13.11.1 Overview
13.11.2 Business segments
13.11.3 Product portfolio
13.11.4 Financial performance
13.11.5 Recent developments
13.11.6 SWOT analysis
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