Artificial intelligence (AI) is changing the retail sector. From utilizing the computer vision for customizing the promotions in real time towards utilizing machine learning for the management of inventory, the retailers may harness AI for connecting with the customers and operating more efficiently. Algorithms from AI may be used for identifying and transforming the attributes from paragraphs or tables of data. Cases of AI utilization in retail sector are product discovery, data creation & labeling, data Insights for driving better decisions, cart abandonment emails, data structuring & transformation, personalized curation and others.
Artificial Intelligence (AI) in Retail Market is segmented based on Product Type into Software & Service; based on Deployment into Cloud & On-Premise and based on Application into Supply Chain and Logistics, Product Optimization, In-Store Navigation, Inventory Management, Payment and Pricing Analytics & Customer Relationship Management (CRM).
Surge in the Artificial Intelligence (AI) in Retail Market is due to reasons like increasing investment across the globe for developing innovative applications for making the experience of retail customers better, increasing awareness of AI application in retail industry, rising development across the globe in technology making life of people across the globe more sorted, growing retail sector across the globe with rising disposable income with people across the globe and other reasons.
Key players of the market are: INTEL CORPORATION, AMAZON WEB SERVICES, IBM CORPORATION, MICROSOFT CORPORATION, Sentient Technologies, Salesforce, Google Inc., NVIDIA Corporation, SAP SE, Oracle Corporation and RetailNext Inc.
This research study involves broad usage of both secondary and primary data sources. The research process involves the identification of numerous factors which affect the industry, comprising the market environment, government policy, historical data, present trends in the market, competitive landscape, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges.
Market Estimation
Top-down and bottom-up approaches are used for validating the market size for companies, regional segments along with relevant market segmentations such as product type and application.
This report includes market estimations which are based on the marketed sale price of a product. Further breakdown of product segments, particular market share are formed based on the weightage assigned to every segment, which is derived of their usage rate and average price. The entire probable factors which effect the markets and influence them in a great way are included in this research report; and have been accounted for, studied in-depth and are confirmed through primary research. These are then studies to get the final qualitative and quantitative data. Any of the factors such as the outcome of inflation, economic downfall, and any kind of policy and regulatory alterations and/or other such factors are not accounted for in the market forecast. All of this data is amalgamated and included with thorough inputs and analysis from Gravitas Market Insights is curated in this report.
Along with the previously mentioned approaches, various data triangulation methods, in order to conduct market estimations and market forecasting for the complete market segments are detailed in this report. Key Companies present in the said market are also acknowledged via in-depth secondary research and primary research.
Section 1: Executive Summary
1.1. Artificial Intelligence (AI) in Retail Market Industry 360° outline, Year 2016 – 2028
1.2. Business Model Trends
1.3. Growth Trends
1.4. Applicationr/Deployment Trends
1.5. Regional Trends
Section 2: Market Dynamics - Artificial Intelligence (AI) in Retail Market Industry Insights
2.1. Growth Drivers
2.2. Opportunities
2.3. Industry challenges
2.4. SWOT Analysis
2.5. Porter’s Analysis
2.6. Worldwide Industry Landscape, Year 2016 – 2028
2.7. Industry Segmentation
2.8. Technology & Invention landscape
2.9. Regional Landscape
2.9.1. North America
2.9.2. Europe
2.9.3. Asia-Pacific
2.9.4. South America
2.9.5. Middle East & Africa
2.10. Competitive Environment
Section 3: Global Artificial Intelligence (AI) in Retail Market, By Product Type
3.1. Segmentation Analysis, By Product Type, 2016-2028
3.2. Market Share Segmentation Analysis, By Product Type, 2016-2028
3.3. Software
3.3.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
3.4. Service
3.4.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
Section 4: Global Artificial Intelligence (AI) in Retail Market, By Deployment
4.1. Segmentation Analysis, By Deployment, 2016-2028
4.2. Market Share Segmentation Analysis, By Deployment, 2016-2028
4.3. Cloud
4.3.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
4.4. On-Premise
4.4.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
Section 5: Global Artificial Intelligence (AI) in Retail Market, By Application
5.1. Segmentation Analysis, By Application, 2016-2028
5.2. Market Share Segmentation Analysis, By Application, 2016-2028
5.3. Supply Chain and Logistics
5.3.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
5.4. Product Optimization
5.4.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
5.5. In-Store Navigation
5.5.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
5.6. Inventory Management
5.6.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
5.7. Payment and Pricing Analytics
5.7.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
5.8. Customer Relationship Management (CRM)
5.8.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
Section 6: Global Artificial Intelligence (AI) in Retail Market, Regional Analysis
6.1. Global Artificial Intelligence (AI) in Retail Market, Regional Analysis
6.2. North America, Country level Analysis
6.2.1. North America Artificial Intelligence (AI) in Retail Market estimates and forecast with Growth rate analysis, By Product Type, 2016 – 2028
6.2.2. North America Artificial Intelligence (AI) in Retail Market estimates and forecast with Growth rate analysis, By Deployment, 2016 – 2028
6.2.3. North America Artificial Intelligence (AI) in Retail Market estimates and forecast with Growth rate analysis, By Application, 2016 – 2028
6.2.4. United States
6.2.4.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.2.5. Canada
6.2.5.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.2.6. Mexico
6.2.6.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.3. Europe Country level Analysis
6.3.1. Europe Artificial Intelligence (AI) in Retail Market estimates and forecast with Growth rate analysis, By Product Type, 2016 – 2028
6.3.2. Europe Artificial Intelligence (AI) in Retail Market estimates and forecast with Growth rate analysis, By Deployment, 2016 – 2028
6.3.3. Europe Artificial Intelligence (AI) in Retail Market estimates and forecast with Growth rate analysis, By Application, 2016 – 2028
6.3.4. UK
6.3.4.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.3.5. Germany
6.3.5.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.3.6. France
6.3.6.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.3.7. Italy
6.3.7.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.3.8. Spain
6.3.8.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.3.9. Russia
6.3.9.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.3.10. Rest of Europe
6.3.10.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.4. Asia-Pacific Country level Analysis
6.4.1. Asia-Pacific Artificial Intelligence (AI) in Retail Market estimates and forecast with Growth rate analysis, By Product Type, 2016 – 2028
6.4.2. Asia-Pacific Artificial Intelligence (AI) in Retail Market estimates and forecast with Growth rate analysis, By Deployment, 2016 – 2028
6.4.3. Asia-Pacific Artificial Intelligence (AI) in Retail Market estimates and forecast with Growth rate analysis, By Application, 2016 – 2028
6.4.4. China
6.4.4.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.4.5. India
6.4.5.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.4.6. Japan
6.4.6.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.4.7. Korea
6.4.7.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.4.8. Australia
6.4.8.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.4.9. Southeast Asia
6.4.9.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.4.10. Rest of Asia-Pacific
6.4.10.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.5. South America Country level Analysis
6.5.1. South America Artificial Intelligence (AI) in Retail Market estimates and forecast with Growth rate analysis, By Product Type, 2016 – 2028
6.5.2. South America Artificial Intelligence (AI) in Retail Market estimates and forecast with Growth rate analysis, By Deployment, 2016 – 2028
6.5.3. South America Artificial Intelligence (AI) in Retail Market estimates and forecast with Growth rate analysis, By Application, 2016 – 2028
6.5.4. Brazil
6.5.4.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.5.5. Argentina
6.5.5.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.5.6. Colombia
6.5.6.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.5.7. Rest of South America
6.5.7.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.6. Middle East & Africa Country level Analysis
6.6.1. MEA Artificial Intelligence (AI) in Retail Market estimates and forecast with Growth rate analysis, By Product Type, 2016 – 2028
6.6.2. MEA Artificial Intelligence (AI) in Retail Market estimates and forecast with Growth rate analysis, By Deployment, 2016 – 2028
6.6.3. MEA Artificial Intelligence (AI) in Retail Market estimates and forecast with Growth rate analysis, By Application, 2016 – 2028
6.6.4. GCC
6.6.4.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.6.5. South Africa
6.6.5.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.6.6. Rest of Middle East & Africa
6.6.6.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
Section 7: Company Profile - Artificial Intelligence (AI) in Retail Market
7.1. INTEL CORPORATION
7.1.1. Business Overview
7.1.2. Product & Service Offering
7.1.3. Overall Revenue
7.1.4. Strategic Outlook
7.2. AMAZON WEB SERVICES
7.2.1. Business Overview
7.2.2. Product & Service Offering
7.2.3. Overall Revenue
7.2.4. Strategic Outlook
7.3. IBM CORPORATION
7.3.1. Business Overview
7.3.2. Product & Service Offering
7.3.3. Overall Revenue
7.3.4. Strategic Outlook
7.4. MICROSOFT CORPORATION
7.4.1. Business Overview
7.4.2. Product & Service Offering
7.4.3. Overall Revenue
7.4.4. Strategic Outlook
7.5. Sentient Technologies
7.5.1. Business Overview
7.5.2. Product & Service Offering
7.5.3. Overall Revenue
7.5.4. Strategic Outlook
7.6. Salesforce
7.6.1. Business Overview
7.6.2. Product & Service Offering
7.6.3. Overall Revenue
7.6.4. Strategic Outlook
7.7. Google Inc.
7.7.1. Business Overview
7.7.2. Product & Service Offering
7.7.3. Overall Revenue
7.7.4. Strategic Outlook
7.8. NVIDIA Corporation
7.8.1. Business Overview
7.8.2. Product & Service Offering
7.8.3. Overall Revenue
7.8.4. Strategic Outlook
7.9. SAP SE
7.9.1. Business Overview
7.9.2. Product & Service Offering
7.9.3. Overall Revenue
7.9.4. Strategic Outlook
7.10. Oracle Corporation
7.10.1. Business Overview
7.10.2. Product & Service Offering
7.10.3. Overall Revenue
7.10.4. Strategic Outlook
7.11. RetailNext Inc.
7.11.1. Business Overview
7.11.2. Product & Service Offering
7.11.3. Overall Revenue
7.11.4. Strategic Outlook
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*Market size and forecast will be provided from 2016-2028, and forecast period would be 2021-2028
*Details on financial performance and strategic moves and developments may not be captured for unlisted companies
*List of companies profiled in this TOC is tentative and may change after detailed analysis
