Artificial Intelligence (AI) in Retail Market Size to touch USD 6,762.3 Million by 2027
The report analyzes and forecasts the Artificial Intelligence (AI) in Retail Market at global and regional levels. The market has been forecast based on volume (Tons) and value (US$ Mn) from 2022 to 2030. The study includes drivers and restraints of the global market. It covers the impact of these drivers and restraints on the demand during the forecast period. The report also highlights opportunities in the market at the global level.
The report comprises a detailed value chain analysis, which provides a comprehensive view of the global Artificial Intelligence (AI) in Retail Market. The Porter’s Five Forces model has also been included to help understand the competitive landscape of the market. The study encompasses market attractiveness analysis, wherein various applications have been benchmarked based on their market size, growth rate, and general attractiveness.
The study provides a decisive view of the Artificial Intelligence (AI) in Retail Market by segmenting it in terms of form and application. The segment has been analyzed based on the present and future trends. Regional segmentation includes the current and projected demand in North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.
The report provides size (in terms of volume and value) of Artificial Intelligence (AI) in Retail Market for the base year 2020 and the forecast between 2021 and 2028. Market numbers have been estimated based on form and application. Market size and forecast for each application segment have been provided for the global and regional market.
Download Sample Report Copy From Here:https://www.acumenresearchandconsulting.com/request-sample/2483
In-depth interviews and discussions were conducted with several key market participants and opinion leaders to compile the research report. Primary research represents a bulk of research efforts, supplemented by extensive secondary research. Annual reports, press releases, and relevant documents of key players operating in various application areas have been reviewed for competition analysis and market understanding. Secondary research also includes recent trends, technical writing, Internet sources, and statistical data from government websites, trade associations, and agencies. These have proved to be reliable, effective, and successful approaches for obtaining precise market data, capturing market participants’ insights, and recognizing business opportunities.
Market Players as below:
Key players operating in the artificial intelligence (AI) in retail markets involve International Business Machines Corporation (IBM), Microsoft Corporation, Amazon Web Services, Oracle Corporation, SAP SE, Intel Corporation, NVIDIA Corporation, Google LLC, Sentient Technologies, and among others
The major market segments of Artificial Intelligence (AI) in Retail Market are as below:
Market By Technology
Machine Learning and Deep Learning
Natural Language Processing
Others (Analytics and Process Automation)
Market By Deployment Model
Cloud
On-Premises
Market By Application
Predictive Merchandising
Programmatic Advertising
In-Store Visual Monitoring and Surveillance
Location-Based Marketing
Other
Ask Query Here: richard@acumenresearchandconsulting.com or sales@acumenresearchandconsulting.com
Table Of Contents:
CHAPTER 1. Industry Overview of Artificial Intelligence (AI) in Retail
1.1. Definition and Scope
1.1.1. Definition of Artificial Intelligence (AI) in Retail
1.1.2. Market Segmentation
1.1.3. Years Considered for the Study
1.1.4. Assumptions and Acronyms Used
1.1.4.1. Market Assumptions and Market Forecast
1.1.4.2. Acronyms Used in Global Artificial Intelligence (AI) in Retail Market
1.2. Summary
1.2.1. Executive Summary
1.2.2. Artificial Intelligence (AI) in Retail Market By Technology
1.2.3. Artificial Intelligence (AI) in Retail Market By Deployment Model
1.2.4. Artificial Intelligence (AI) in Retail Market By Application
1.2.5. Artificial Intelligence (AI) in Retail Market by Regions
CHAPTER 2. Research Approach
2.1. Methodology
2.1.1. Research Programs
2.1.2. Market Size Estimation
2.1.3. Market Breakdown and Data Triangulation
2.2. Data Source
2.2.1. Secondary Sources
2.2.2. Primary Sources
CHAPTER 3. Market Dynamics And Competition Analysis
3.1. Market Drivers
3.1.1. Driver 1
3.1.2. Driver 2
3.2. Restraints and Challenges
3.2.1. Restrain 1
3.2.2. Restrain 2
3.3. Growth Opportunities
3.3.1. Opportunity 1
3.3.2. Opportunity 2
3.4. Porter’s Five Forces Analysis
3.4.1. Bargaining Power of Suppliers
3.4.2. Bargaining Power of Buyers
3.4.3. Threat of Substitute
3.4.4. Threat of New Entrants
3.4.5. Degree of Competition
3.5. Market Concentration Ratio and Market Maturity Analysis of Artificial Intelligence (AI) in Retail Market
3.5.1. Go To Market Strategy
3.5.1.1. Introduction
3.5.1.2. Growth
3.5.1.3. Maturity
3.5.1.4. Saturation
3.5.1.5. Possible Development
3.6. Technological Roadmap for Artificial Intelligence (AI) in Retail Market
3.7. Value Chain Analysis
3.7.1. List of Key Manufacturers
3.7.2. List of Customers
3.7.3. Level of Integration
3.8. Cost Structure Analysis
3.8.1. Price Trend of Key Raw Materials
3.8.2. Raw Material Suppliers
3.8.3. Proportion of Manufacturing Cost Structure
3.8.3.1. Raw Material
3.8.3.2. Labor Cost
3.8.3.3. Manufacturing Expense
3.9. Regulatory Compliance
3.10. Competitive Landscape, 2019
3.10.1. Player Positioning Analysis
3.10.2. Key Strategies Adopted By Leading Players
CHAPTER 4. Manufacturing Plant Analysis
4.1. Manufacturing Plant Location and Establish Date of Major Manufacturers in 2019
4.2. R&D Status and Application Source of Artificial Intelligence (AI) in Retail Major Manufacturers in 2019
CHAPTER 5. Artificial Intelligence (AI) in Retail Market By Technology
5.1. Introduction
5.2. Artificial Intelligence (AI) in Retail Revenue By Technology
5.2.1. Artificial Intelligence (AI) in Retail Revenue (US$ Mn) and Forecast, By Technology, 2016-2027
5.2.2. Machine Learning and Deep Learning
5.2.2.1. Machine Learning and Deep Learning Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
5.2.3. Natural Language Processing
5.2.3.1. Natural Language Processing Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
5.2.4. Others (Analytics and Process Automation)
5.2.4.1. Others (Analytics and Process Automation) Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
CHAPTER 6. Artificial Intelligence (AI) in Retail Market Revenue By Deployment Model
6.1. Introduction
6.2. Artificial Intelligence (AI) in Retail Revenue (US$ Mn) By Deployment Model
6.2.1. Artificial Intelligence (AI) in Retail Revenue (US$ Mn) and Forecast By Deployment Model, 2016 – 2027
6.2.2. Cloud
6.2.2.1. Cloud Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
6.2.3. On-Premises
6.2.3.1. On-Premises Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
CHAPTER 7. Artificial Intelligence (AI) in Retail Market By Application
7.1. Introduction
7.2. Artificial Intelligence (AI) in Retail Revenue (US$ Mn) By Application
7.2.1. Artificial Intelligence (AI) in Retail Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
7.2.2. Predictive Merchandising
7.2.2.1. Predictive Merchandising Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
7.2.3. Programmatic Advertising
7.2.3.1. Programmatic Advertising Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
7.2.4. In-Store Visual Monitoring and Surveillance
7.2.4.1. In-Store Visual Monitoring and Surveillance Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
7.2.5. Location-Based Marketing
7.2.5.1. Location-Based Marketing Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
7.2.6. Others
7.2.6.1. Others Market Revenue (US$ Mn) and Growth Rate (%), 2016-2027
CHAPTER 8. North America Artificial Intelligence (AI) in Retail Market By Country
8.1. North America Artificial Intelligence (AI) in Retail Overview
8.2. U.S.
8.2.1. U.S. Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016-2027
8.2.2. U.S. Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016-2027
8.2.3. U.S. Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016-2027
8.3. Canada
8.3.1. Canada Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016-2027
8.3.2. Canada Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016-2027
8.3.3. Canada Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016-2027
8.4. North America PEST Analysis
CHAPTER 9. Europe Artificial Intelligence (AI) in Retail Market By Country
9.1. Europe Artificial Intelligence (AI) in Retail Market Overview
9.2. U.K.
9.2.1. U.K. Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016-2027
9.2.2. U.K. Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016-2027
9.2.3. U.K. Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016-2027
9.3. Germany
9.3.1. Germany Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016-2027
9.3.2. Germany Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016-2027
9.3.3. Germany Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016-2027
9.4. France
9.4.1. France Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016-2027
9.4.2. France Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016-2027
9.4.3. France Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016-2027
9.5. Spain
9.5.1. Spain Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016-2027
9.5.2. Spain Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016-2027
9.5.3. Spain Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016-2027
9.6. Rest of Europe
9.6.1. Rest of Europe Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016-2027
9.6.2. Rest of Europe Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016-2027
9.6.3. Rest of Europe Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016-2027
9.7. Europe PEST Analysis
CHAPTER 10. Asia Pacific Artificial Intelligence (AI) in Retail Market By Country
10.1. Asia Pacific Artificial Intelligence (AI) in Retail Market Overview
10.2. China
10.2.1. China Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016 – 2027
10.2.2. China Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016 – 2027
10.2.3. China Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
10.3. Japan
10.3.1. Japan Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016 – 2027
10.3.2. Japan Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016 – 2027
10.3.3. Japan Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
10.4. India
10.4.1. India Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016 – 2027
10.4.2. India Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016 – 2027
10.4.3. India Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
10.5. Australia
10.5.1. Australia Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016 – 2027
10.5.2. Australia Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016 – 2027
10.5.3. Australia Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
10.6. South Korea
10.6.1. South Korea Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016 – 2027
10.6.2. South Korea Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016 – 2027
10.6.3. South Korea Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
10.7. Rest of Asia-Pacific
10.7.1. Rest of Asia-Pacific Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016 – 2027
10.7.2. Rest of Asia-Pacific Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016 – 2027
10.7.3. Rest of Asia-Pacific Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
10.8. Asia Pacific PEST Analysis
CHAPTER 11. Latin America Artificial Intelligence (AI) in Retail Market By Country
11.1. Latin America Artificial Intelligence (AI) in Retail Market Overview
11.2. Brazil
11.2.1. Brazil Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016 – 2027
11.2.2. Brazil Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016 – 2027
11.2.3. Brazil Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
11.3. Mexico
11.3.1. Mexico Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016 – 2027
11.3.2. Mexico Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016 – 2027
11.3.3. Mexico Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
11.4. Rest of Latin America
11.4.1. Rest of Latin America Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016 – 2027
11.4.2. Rest of Latin America Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016 – 2027
11.4.3. Rest of Latin America Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
CHAPTER 12. Middle East & Africa Artificial Intelligence (AI) in Retail Market By Country
12.1. Middle East & Africa Artificial Intelligence (AI) in Retail Market Overview
12.2. Saudi Arabia
12.2.1. Saudi Arabia Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016 – 2027
12.2.2. Saudi Arabia Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016 – 2027
12.2.3. Saudi Arabia Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
12.3. UAE
12.3.1. UAE Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016 – 2027
12.3.2. UAE Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016 – 2027
12.3.3. UAE Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
12.4. Rest of Middle East & Africa
12.4.1. Rest of Middle East & Africa Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Technology, 2016 – 2027
12.4.2. Rest of Middle East & Africa Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Deployment Model, 2016 – 2027
12.4.3. Rest of Middle East & Africa Artificial Intelligence (AI) in Retail Market Revenue (US$ Mn) and Forecast By Application, 2016 – 2027
CHAPTER 13. Player Analysis Of Artificial Intelligence (AI) in Retail
13.1. Artificial Intelligence (AI) in Retail Market Company Share Analysis
13.2. Competition Matrix
13.2.1. Competitive Benchmarking of key players by price, presence, market share, and R&D investment
13.2.2. New Product Launches and Product Enhancements
13.2.3. Mergers And Acquisition In Global Artificial Intelligence (AI) in Retail Market
13.2.4. Partnership, Joint Ventures and Strategic Alliances/ Sales Agreements
CHAPTER 14. COMPANY PROFILE
14.1. International Business Machines Corporation(IBM)
14.1.1. Company Snapshot
14.1.2. Business Overview
14.1.3. Financial Overview
14.1.3.1. Revenue (US$ Mn), 2019
14.1.3.2. International Business Machines Corporation(IBM) 2019 Artificial Intelligence (AI) in Retail Business Regional Distribution
14.1.4. Product/ Service and Specification
14.1.5. Recent Developments & Business Strategy
14.1.6. Manufacturing Plant Footprint Analysis
14.2. Microsoft Corporation
14.3. Amazon Web Services
14.4. Oracle Corporation
14.5. SAP SE
14.6. Intel Corporation
14.7. NVIDIA Corporation
14.8. Google LLC
14.9. Sentient Technologies
14.10. Others
To Get Premium Report Full Copy in Form of Single user or Multiple user@https://www.acumenresearchandconsulting.com/buy-now/0/2483
About Us:
Acumen Research and Consulting (ARC) is a global provider of market intelligence and consulting services to information technology, investment, telecommunication, manufacturing, and consumer technology markets. ARC helps investment communities, IT professionals, and business executives to make fact based decisions on technology purchases and develop firm growth strategies to sustain market competition. With the team size of 100+ Analysts and collective industry experience of more than 200 years, Acumen Research and Consulting assures to deliver a combination of industry knowledge along with global and country level expertise.
