Artificial Intelligence in Retail Market
Artificial Intelligence in Retail Market: Global Industry Analysis 2017-2022 and Opportunity Assessment 2023-2033
A recent market study published by FMI on Artificial Intelligence in Retail offers a global industry analysis for 2017-2022 and opportunity assessment for 2023-2033. The study offers a comprehensive assessment of the most important market dynamics. After conducting thorough research on the historical and current growth parameters, the growth prospects of the market are obtained with maximum precision.
Market Segmentation
By Component:
- Solution
- Chatbots
- Customer Behavior Tracking
- CRM
- Inventory Management
- Price Optimization
- Recommendation Engines
- Supply Chain Management
- Visual Search & Visual Listen
- Others
- Services
- Professional services
- Managed services
- Machine Learning
- Natural Language Processing (NLP)
- Computer Vision
- Others
- Automated Merchandising
- Programmatic Advertising
- Market Forecasting
- In-Store AI & Location Optimization
- Data Science
- Others
- North America
- Europe
- Asia Pacific
- Latin America
- MEA
Executive Summary
The executive summary of the Artificial Intelligence in Retail Market includes the global market outlook, demand side trends, supply side trends and also include FMI analysis and recommendations of Vehicle Radar Test System.
Chapter 01 - Market Overview
Readers can find the detailed segmentation and definition of the Artificial Intelligence in Retail Market in this chapter, which will help to understand basic information about Vehicle Radar Test System. This section also highlights the market scope, taxonomy and limitations which help the reader understand the market coverage of Artificial Intelligence in Retail Market report.
Chapter 02 - Market Background
This chapter includes detailed analysis of the By Component processing methods overview, consumer buying patterns & tendencies and policy developments and regulatory scenario. It also includes in depth analysis of macro-economic factors and covers topics like global GDP growth outlook, global industry value added, personal consumption, expenditures, modern trade penetration and consumer price indices. The chapter also covers forecast factors - relevance & impact, value chain analysis and market dynamics (drivers, restraints and opportunities) to better understand the market.
Chapter 03 - Global Artificial Intelligence in Retail Market Demand Analysis 2017-2022 and Forecast, 2023-2033
The chapter include historical market value (XX) analysis (2017-2022) and current and future market value (US$ 10.76 billion) and volume (28%) projections (2023-2033). The projections are based on the Y-O-Y growth trend analysis and absolute $ opportunity analysis country of operation.
Chapter 04 - Global Artificial Intelligence in Retail Market - Pricing Analysis
Based on By Component, the pricing analysis chapter include Regional pricing analysis (USD/MT), global average pricing analysis benchmark, and key factors impacting the pricing.
Chapter 05 - Global Artificial Intelligence in Retail Market Analysis 2017-2022 and Forecast 2023-2033, By Component
Based on By Component, Artificial Intelligence in Retail Market is segmented into Solution (Chatbots, Customer Behavior Tracking, CRM, Inventory Management, Price Optimization, Recommendation Engines, Supply Chain Management, Visual Search & Visual Listen, Others), Services (Professional services, Managed services). Value forecast and Y-o-Y growth comparison will also be provided for above mentioned By Component.
Chapter 06 - Global Artificial Intelligence in Retail Market Analysis 2017-2022 and Forecast 2023-2033, By Technology
Based on By Technology, Artificial Intelligence in Retail Market is segmented into Machine Learning, Natural Language Processing (NLP), Computer Vision, Others. This section also offers market attractiveness analysis based on By Technology. Value forecast and Y-o-Y growth comparison will also be provided for above mentioned By Technology.
Chapter 07 - Global Artificial Intelligence in Retail Market Analysis 2017-2022 and Forecast 2023-2033, By Application
Based on By Application, Artificial Intelligence in Retail Market is segmented into Automated Merchandising, Programmatic Advertising, Market Forecasting, In-Store AI & Location Optimization, Data Science, Others. This section also offers market attractiveness analysis based on By Application. Value forecast and Y-o-Y growth comparison will also be provided for above mentioned By Application.
Chapter 08 - Artificial Intelligence in Retail Market Analysis 2017-2022 and Forecast 2023-2033, By Region
Based on By Region, Artificial Intelligence in Retail Market is segmented into North America, Latin America, Europe, East Asia, South Asia, Oceania and MEA. This section also offers market attractiveness analysis based on By Region. Readers can also find value forecast and Y-o-Y growth comparison for all above mentioned By Region.
Chapter 09 - North America Artificial Intelligence in Retail Market Analysis 2017-2022 and Forecast 2023-2033
This chapter includes a detailed analysis of the growth of the Vehicle Radar Test System in the North American region, along with a country-wise assessment that includes the US and Canada. Readers can also find regional trends, regulations, and market growth based on different segment and countries in the North America region.
Chapter 10 - Latin America Artificial Intelligence in Retail Market Analysis 2017-2022 and Forecast 2023-2033
This chapter includes a detailed analysis of the growth of Vehicle Radar Test System in the Latin America region, along with a country-wise assessment that includes the Brazil, Mexico, Chile, Argentina, Peru and Rest of Latin America. Readers can find detailed information about several factors, such as the pricing analysis and regional trends, which are impacting growth of the Artificial Intelligence in Retail Market in the Latin America region.
Chapter 11 - Europe Artificial Intelligence in Retail Market Analysis 2017-2022 and Forecast 2023-2033
This chapter includes a detailed analysis of the growth of Vehicle Radar Test System in the European region, along with a country-wise assessment that includes the Germany, Italy, France, U.K., Spain, Russia, Nordic, Benelux and Rest of Europe. Readers can find detailed information about several factors, such as the pricing analysis and regional trends, which are impacting growth of the Artificial Intelligence in Retail Market in the regional market.
Chapter 12 - East Asia Artificial Intelligence in Retail Market Analysis 2017-2022 and Forecast 2023-2033
This chapter includes a detailed analysis of the growth of Vehicle Radar Test System in the East Asia region, along with a country-wise assessment that includes the China, Japan, and South Korea. Readers can find detailed information about several factors, such as the pricing analysis and regional trends, which are impacting growth of the Artificial Intelligence in Retail Market in the regional market.
Chapter 13 - South Asia Artificial Intelligence in Retail Market Analysis 2017-2022 and Forecast 2023-2033
This chapter includes a detailed analysis of the growth of Vehicle Radar Test System in the South Asia region, along with a country-wise assessment that includes the India, Indonesia, Malaysia, Thailand, and Rest of South Asia. Readers can find detailed information about several factors, such as the pricing analysis and regional trends, which are impacting growth of the Artificial Intelligence in Retail Market in the regional market.
Chapter 14 - Middle East and Africa Artificial Intelligence in Retail Market Analysis 2017-2022 and Forecast 2023-2033
This chapter includes a detailed analysis of the growth of Vehicle Radar Test System in the MEA region, along with a country-wise assessment that includes the GCC Countries, South Africa, North Africa, Turkey and Rest of MEA. Readers can find detailed information about several factors, such as the pricing analysis and regional trends, which are impacting growth of the Artificial Intelligence in Retail Market in the regional market.
Chapter 15 - Key Countries Artificial Intelligence in Retail Market Analysis 2017-2022 and Forecast 2023-2033
This chapter offers insights into how the Artificial Intelligence in Retail Market is expected to grow in major countries globally.
Chapter 16 - Market Structure Analysis- Global Assessment
This chapter includes company dashboard, industry structure analysis by tier of companies, 2022E, company share analysis of top players, 2022E, and competition benchmarking- matrix.
Chapter 17 - Competition Deep Dive (Tentative List)
This chapter includes company overview, By Component portfolio of companies, profitability by market segments, sales footprint, SWOT analysis and strategy overview of the companies being studied in the report. Some of the market players featured in the report are Amazon Web Services, Oracle, IBM Corporation, Microsoft, SAP SE, Salesforce Inc., NVIDIA, Google LLC, Sentient Technology, ViSenze, Intel.
Chapter 18 - Assumptions and Acronyms
This chapter includes a list of acronyms and assumptions that provide a base to the information and statistics included in the Vehicle Radar Test System report.
Chapter 19 - Research Methodology
This chapter helps readers understand the research methodology followed to obtain various conclusions, as well as important qualitative and quantitative information, on Artificial Intelligence in Retail Market.
- 1. Executive Summary | Artificial Intelligence in Retail Market
- 1.1. Global Market Outlook
- 1.2. Demand-side Trends
- 1.3. Supply-side Trends
- 1.4. Technology Roadmap Analysis
- 1.5. Analysis and Recommendations
- 2. Market Overview
- 2.1. Market Coverage / Taxonomy
- 2.2. Market Definition / Scope / Limitations
- 3. Market Background
- 3.1. Market Dynamics
- 3.1.1. Drivers
- 3.1.2. Restraints
- 3.1.3. Opportunity
- 3.1.4. Trends
- 3.2. Scenario Forecast
- 3.2.1. Demand in Optimistic Scenario
- 3.2.2. Demand in Likely Scenario
- 3.2.3. Demand in Conservative Scenario
- 3.3. Opportunity Map Analysis
- 3.4. Investment Feasibility Matrix
- 3.5. PESTLE and Porter’s Analysis
- 3.6. Regulatory Landscape
- 3.6.1. By Key Regions
- 3.6.2. By Key Countries
- 3.7. Regional Parent Market Outlook
- 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
- 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
- 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
- 4.2.1. Y-o-Y Growth Trend Analysis
- 4.2.2. Absolute $ Opportunity Analysis
- 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Channel
- 5.1. Introduction / Key Findings
- 5.2. Historical Market Size Value (US$ Million) Analysis By Channel, 2018 to 2022
- 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Channel, 2023 to 2033
- 5.3.1. Omnichannel
- 5.3.2. Brick and Mortar
- 5.3.3. Pure-play Online Retailers
- 5.4. Y-o-Y Growth Trend Analysis By Channel, 2018 to 2022
- 5.5. Absolute $ Opportunity Analysis By Channel, 2023 to 2033
- 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component
- 6.1. Introduction / Key Findings
- 6.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022
- 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033
- 6.3.1. Software
- 6.3.2. Service
- 6.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022
- 6.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033
- 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment
- 7.1. Introduction / Key Findings
- 7.2. Historical Market Size Value (US$ Million) Analysis By Deployment , 2018 to 2022
- 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment , 2023 to 2033
- 7.3.1. Cloud
- 7.3.2. On-Premise
- 7.4. Y-o-Y Growth Trend Analysis By Deployment , 2018 to 2022
- 7.5. Absolute $ Opportunity Analysis By Deployment , 2023 to 2033
- 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Technology
- 8.1. Introduction / Key Findings
- 8.2. Historical Market Size Value (US$ Million) Analysis By Technology, 2018 to 2022
- 8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Technology, 2023 to 2033
- 8.3.1. Machine Learning
- 8.3.2. Natural Language Processing
- 8.3.3. Chatbots
- 8.3.4. Image and Video Analytics
- 8.4. Y-o-Y Growth Trend Analysis By Technology, 2018 to 2022
- 8.5. Absolute $ Opportunity Analysis By Technology, 2023 to 2033
- 9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application
- 9.1. Introduction / Key Findings
- 9.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022
- 9.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033
- 9.3.1. Supply Chain and Logistics
- 9.3.2. Product Optimization
- 9.3.3. In-Store Navigation
- 9.3.4. Payment and Pricing Analytics
- 9.3.5. Inventory Management
- 9.3.6. Customer Relationship Management
- 9.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022
- 9.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033
- 10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
- 10.1. Introduction
- 10.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
- 10.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
- 10.3.1. North America
- 10.3.2. Latin America
- 10.3.3. Europe
- 10.3.4. Asia Pacific
- 10.3.5. Middle East and Africa
- 10.4. Market Attractiveness Analysis By Region
- 11. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
- 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
- 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
- 11.2.1. By Country
- 11.2.1.1. USA
- 11.2.1.2. Canada
- 11.2.2. By Channel
- 11.2.3. By Component
- 11.2.4. By Deployment
- 11.2.5. By Technology
- 11.2.6. By Application
- 11.3. Market Attractiveness Analysis
- 11.3.1. By Country
- 11.3.2. By Channel
- 11.3.3. By Component
- 11.3.4. By Deployment
- 11.3.5. By Technology
- 11.3.6. By Application
- 11.4. Key Takeaways
- 12. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
- 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
- 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
- 12.2.1. By Country
- 12.2.1.1. Brazil
- 12.2.1.2. Mexico
- 12.2.1.3. Rest of Latin America
- 12.2.2. By Channel
- 12.2.3. By Component
- 12.2.4. By Deployment
- 12.2.5. By Technology
- 12.2.6. By Application
- 12.3. Market Attractiveness Analysis
- 12.3.1. By Country
- 12.3.2. By Channel
- 12.3.3. By Component
- 12.3.4. By Deployment
- 12.3.5. By Technology
- 12.3.6. By Application
- 12.4. Key Takeaways
- 13. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
- 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
- 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
- 13.2.1. By Country
- 13.2.1.1. United Kingdom
- 13.2.1.2. Spain
- 13.2.1.3. Germany
- 13.2.1.4. Italy
- 13.2.1.5. France
- 13.2.1.6. Rest of Europe
- 13.2.2. By Channel
- 13.2.3. By Component
- 13.2.4. By Deployment
- 13.2.5. By Technology
- 13.2.6. By Application
- 13.3. Market Attractiveness Analysis
- 13.3.1. By Country
- 13.3.2. By Channel
- 13.3.3. By Component
- 13.3.4. By Deployment
- 13.3.5. By Technology
- 13.3.6. By Application
- 13.4. Key Takeaways
- 14. Asia Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
- 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
- 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
- 14.2.1. By Country
- 14.2.1.1. India
- 14.2.1.2. China
- 14.2.1.3. Japan
- 14.2.1.4. Australia
- 14.2.1.5. Rest of Asia Pacific
- 14.2.2. By Channel
- 14.2.3. By Component
- 14.2.4. By Deployment
- 14.2.5. By Technology
- 14.2.6. By Application
- 14.3. Market Attractiveness Analysis
- 14.3.1. By Country
- 14.3.2. By Channel
- 14.3.3. By Component
- 14.3.4. By Deployment
- 14.3.5. By Technology
- 14.3.6. By Application
- 14.4. Key Takeaways
- 15. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
- 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
- 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
- 15.2.1. By Country
- 15.2.1.1. South Africa
- 15.2.1.2. GCC Countries
- 15.2.1.3. Rest of Middle East and Africa
- 15.2.2. By Channel
- 15.2.3. By Component
- 15.2.4. By Deployment
- 15.2.5. By Technology
- 15.2.6. By Application
- 15.3. Market Attractiveness Analysis
- 15.3.1. By Country
- 15.3.2. By Channel
- 15.3.3. By Component
- 15.3.4. By Deployment
- 15.3.5. By Technology
- 15.3.6. By Application
- 15.4. Key Takeaways
- 16. Key Countries Market Analysis
- 16.1. USA
- 16.1.1. Pricing Analysis
- 16.1.2. Market Share Analysis, 2022
- 16.1.2.1. By Channel
- 16.1.2.2. By Component
- 16.1.2.3. By Deployment
- 16.1.2.4. By Technology
- 16.1.2.5. By Application
- 16.2. Canada
- 16.2.1. Pricing Analysis
- 16.2.2. Market Share Analysis, 2022
- 16.2.2.1. By Channel
- 16.2.2.2. By Component
- 16.2.2.3. By Deployment
- 16.2.2.4. By Technology
- 16.2.2.5. By Application
- 16.3. Brazil
- 16.3.1. Pricing Analysis
- 16.3.2. Market Share Analysis, 2022
- 16.3.2.1. By Channel
- 16.3.2.2. By Component
- 16.3.2.3. By Deployment
- 16.3.2.4. By Technology
- 16.3.2.5. By Application
- 16.4. Mexico
- 16.4.1. Pricing Analysis
- 16.4.2. Market Share Analysis, 2022
- 16.4.2.1. By Channel
- 16.4.2.2. By Component
- 16.4.2.3. By Deployment
- 16.4.2.4. By Technology
- 16.4.2.5. By Application
- 16.5. United Kingdom
- 16.5.1. Pricing Analysis
- 16.5.2. Market Share Analysis, 2022
- 16.5.2.1. By Channel
- 16.5.2.2. By Component
- 16.5.2.3. By Deployment
- 16.5.2.4. By Technology
- 16.5.2.5. By Application
- 16.6. Spain
- 16.6.1. Pricing Analysis
- 16.6.2. Market Share Analysis, 2022
- 16.6.2.1. By Channel
- 16.6.2.2. By Component
- 16.6.2.3. By Deployment
- 16.6.2.4. By Technology
- 16.6.2.5. By Application
- 16.7. Germany
- 16.7.1. Pricing Analysis
- 16.7.2. Market Share Analysis, 2022
- 16.7.2.1. By Channel
- 16.7.2.2. By Component
- 16.7.2.3. By Deployment
- 16.7.2.4. By Technology
- 16.7.2.5. By Application
- 16.8. Italy
- 16.8.1. Pricing Analysis
- 16.8.2. Market Share Analysis, 2022
- 16.8.2.1. By Channel
- 16.8.2.2. By Component
- 16.8.2.3. By Deployment
- 16.8.2.4. By Technology
- 16.8.2.5. By Application
- 16.9. France
- 16.9.1. Pricing Analysis
- 16.9.2. Market Share Analysis, 2022
- 16.9.2.1. By Channel
- 16.9.2.2. By Component
- 16.9.2.3. By Deployment
- 16.9.2.4. By Technology
- 16.9.2.5. By Application
- 16.10. India
- 16.10.1. Pricing Analysis
- 16.10.2. Market Share Analysis, 2022
- 16.10.2.1. By Channel
- 16.10.2.2. By Component
- 16.10.2.3. By Deployment
- 16.10.2.4. By Technology
- 16.10.2.5. By Application
- 16.11. China
- 16.11.1. Pricing Analysis
- 16.11.2. Market Share Analysis, 2022
- 16.11.2.1. By Channel
- 16.11.2.2. By Component
- 16.11.2.3. By Deployment
- 16.11.2.4. By Technology
- 16.11.2.5. By Application
- 16.12. Japan
- 16.12.1. Pricing Analysis
- 16.12.2. Market Share Analysis, 2022
- 16.12.2.1. By Channel
- 16.12.2.2. By Component
- 16.12.2.3. By Deployment
- 16.12.2.4. By Technology
- 16.12.2.5. By Application
- 16.13. Australia & New Zealand
- 16.13.1. Pricing Analysis
- 16.13.2. Market Share Analysis, 2022
- 16.13.2.1. By Channel
- 16.13.2.2. By Component
- 16.13.2.3. By Deployment
- 16.13.2.4. By Technology
- 16.13.2.5. By Application
- 16.14. South Africa
- 16.14.1. Pricing Analysis
- 16.14.2. Market Share Analysis, 2022
- 16.14.2.1. By Channel
- 16.14.2.2. By Component
- 16.14.2.3. By Deployment
- 16.14.2.4. By Technology
- 16.14.2.5. By Application
- 16.15. GCC Countries
- 16.15.1. Pricing Analysis
- 16.15.2. Market Share Analysis, 2022
- 16.15.2.1. By Channel
- 16.15.2.2. By Component
- 16.15.2.3. By Deployment
- 16.15.2.4. By Technology
- 16.15.2.5. By Application
- 17. Market Structure Analysis
- 17.1. Competition Dashboard
- 17.2. Competition Benchmarking
- 17.3. Market Share Analysis of Top Players
- 17.3.1. By Regional
- 17.3.2. By Channel
- 17.3.3. By Component
- 17.3.4. By Deployment
- 17.3.5. By Technology
- 17.3.6. By Application
- 18. Competition Analysis
- 18.1. Competition Deep Dive
- 18.1.1. SAP SE
- 18.1.1.1. Overview
- 18.1.1.2. Product Portfolio
- 18.1.1.3. Profitability by Market Segments
- 18.1.1.4. Sales Footprint
- 18.1.1.5. Strategy Overview
- 18.1.1.5.1. Marketing Strategy
- 18.1.2. IBM Corporation
- 18.1.2.1. Overview
- 18.1.2.2. Product Portfolio
- 18.1.2.3. Profitability by Market Segments
- 18.1.2.4. Sales Footprint
- 18.1.2.5. Strategy Overview
- 18.1.2.5.1. Marketing Strategy
- 18.1.3. Microsoft Corporation
- 18.1.3.1. Overview
- 18.1.3.2. Product Portfolio
- 18.1.3.3. Profitability by Market Segments
- 18.1.3.4. Sales Footprint
- 18.1.3.5. Strategy Overview
- 18.1.3.5.1. Marketing Strategy
- 18.1.4. Google LLC
- 18.1.4.1. Overview
- 18.1.4.2. Product Portfolio
- 18.1.4.3. Profitability by Market Segments
- 18.1.4.4. Sales Footprint
- 18.1.4.5. Strategy Overview
- 18.1.4.5.1. Marketing Strategy
- 18.1.5. Salesforce.com Inc.
- 18.1.5.1. Overview
- 18.1.5.2. Product Portfolio
- 18.1.5.3. Profitability by Market Segments
- 18.1.5.4. Sales Footprint
- 18.1.5.5. Strategy Overview
- 18.1.5.5.1. Marketing Strategy
- 18.1.6. Oracle Corporation
- 18.1.6.1. Overview
- 18.1.6.2. Product Portfolio
- 18.1.6.3. Profitability by Market Segments
- 18.1.6.4. Sales Footprint
- 18.1.6.5. Strategy Overview
- 18.1.6.5.1. Marketing Strategy
- 18.1.7. ViSenze Pte Ltd
- 18.1.7.1. Overview
- 18.1.7.2. Product Portfolio
- 18.1.7.3. Profitability by Market Segments
- 18.1.7.4. Sales Footprint
- 18.1.7.5. Strategy Overview
- 18.1.7.5.1. Marketing Strategy
- 18.1.8. Amazon Web Services Inc.
- 18.1.8.1. Overview
- 18.1.8.2. Product Portfolio
- 18.1.8.3. Profitability by Market Segments
- 18.1.8.4. Sales Footprint
- 18.1.8.5. Strategy Overview
- 18.1.8.5.1. Marketing Strategy
- 18.1.9. BloomReach, Inc.
- 18.1.9.1. Overview
- 18.1.9.2. Product Portfolio
- 18.1.9.3. Profitability by Market Segments
- 18.1.9.4. Sales Footprint
- 18.1.9.5. Strategy Overview
- 18.1.9.5.1. Marketing Strategy
- 18.1.10. Symphony RetailAI
- 18.1.10.1. Overview
- 18.1.10.2. Product Portfolio
- 18.1.10.3. Profitability by Market Segments
- 18.1.10.4. Sales Footprint
- 18.1.10.5. Strategy Overview
- 18.1.10.5.1. Marketing Strategy
- 18.1.11. Daisy Intelligence
- 18.1.11.1. Overview
- 18.1.11.2. Product Portfolio
- 18.1.11.3. Profitability by Market Segments
- 18.1.11.4. Sales Footprint
- 18.1.11.5. Strategy Overview
- 18.1.11.5.1. Marketing Strategy
- 18.1.12. Conversica Inc.
- 18.1.12.1. Overview
- 18.1.12.2. Product Portfolio
- 18.1.12.3. Profitability by Market Segments
- 18.1.12.4. Sales Footprint
- 18.1.12.5. Strategy Overview
- 18.1.12.5.1. Marketing Strategy
- 19. Assumptions & Acronyms Used
- 20. Research Methodology
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