Global In-store Analytics Market: Industry Analysis and Forecast (2018-2026) –by Component, Application, Deployment Model, Organization Size, and Region.

Market Scenario

Global In-store Analytics Market was valued at US$ 915.3 Mn in 2017 and is expected to reach US$ 4521.2 Mn by 2026, at a CAGR of 22.1 % during a forecast period. Global In-store Analytics Market The in-store analytics market is increasing rapidly with the growing competition of brick-and-mortar retailers from e-commerce players, rising need for better consumer service and enhanced shopping experience, and increasing data volume around in-store operations. However, the reluctance of traditional retailers to adopt newer technologies would limit the growth of the in-store analytics market. In-Store analysis market is witnessing a positive growth owing to the adoption of analytics solutions by the retail industry in order to help gain competitive advantage, reduce operational costs, and increase profitability. This factor is expected to drive the retail analytics market growth throughout the forecast period. Big data analytics offers several advantages like enhanced customer experience, data management in large scale retail industries, etc. Service segment is expected to hold the largest market share during the forecast period in the in-store analytics market globally. Professional services and managed services help enterprises in building successful client relationships by always supporting them through business tenure. Support and maintenance services aid organizations understand changing business conditions, client insights, market trends, or service inconveniences and helps in the making of corporate branding and marketing campaigns. The on-premises deployment model is leading segment in the global in-store analytics market. The growth of the on-premises deployment model is mostly attributed to the flexibility for customizing the software as per an organization’s dynamic requirements. The store that handles consumers’ credentials would prefer the on-premises deployment model, as the systems can be controlled by the organization’s staff themselves. North America is dominating the market for in-store analytics market because of the presence of numerous developed economies, for instance, Canada and U.S, and the growing focus on innovations obtained from R&D and technology. The retail market in the U.S is one of the largest with the presence of retail giants. North America, especially The U.S, will still play an important role which cannot be ignored. Any changes from the U.S might affect the development trend of In-store Analytics. In January 2019, key development in global in-store analytics market is Thinkinside added a new advance module, Funnel Analysis, in its in-store analytics platform, RetailerIN. This module allows supermarket and grocery stores to fully analyze the complete shopping funnel by integrating sales data. Various players are operating in the global market for in-store analytics. One of the leading players is RetailNext, Inc. The company provides real-time analytics that assists retailers, shopping centres, and manufacturers to collect, analyze, & visualize in-store data. The company’s SaaS platform integrates with many store data sources, including promotional calendars, staffing systems, and weather services to analyze how several factors impact shopping behavior. It serves consumers in the U.S and globally. The objective of the report is to present a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, industry-validated market data and projections with a suitable set of assumptions and methodology. The report also helps in understanding Global In-store Analytics Market dynamics, structure by identifying and analyzing the market segments and project the global market size. Further, the report also focuses on the competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence. The report also provides PEST analysis, PORTER’s analysis, SWOT analysis to address the question of shareholders to prioritizing the efforts and investment in the near future to the emerging segment in the Global In-store Analytics Market.

Scope of the Global In-store Analytics Market

Global In-store Analytics Market, By Component

• Software • Services o Professional Services  Support and Maintenance Services  Consulting Services • Managed Services

Global In-store Analytics Market, By Application

• Customer Management o Customer Footfall Analysis o Customer Behavioral Analysis o Customer Service • Marketing Management o Campaign Management o Loyalty Management o Cross-Sell and Upsell and Point of Sale o Market Basket Analysis • Merchandising Analysis o Space Planning and Optimization o Product Category Analysis o Store Layout Analysis • Store Operations Management o Workforce Optimization o Top-Performing Categories and Product Identification o Inventory Management • Risk and Compliance Management o Fraud Detection • Others

Global In-store Analytics Market, By Deployment Model

• Cloud • On-Premises

Global In-store Analytics Market, By Organization Size

• Small and Medium-Sized Enterprises • Large Enterprises

Global In-store Analytics Market, By Region

• North America • Europe • Asia Pacific • Middle East and Africa • South America

Key players operating in Global In-store Analytics Market

• RetailNext • Mindtree • Thinkinside • Happiest Minds • SAP • Celect • Capillary Technologies • Inpixon • Scanalytics • Retail Solutions • Dor Technologies • SEMSEYE • InvenSense • Walkbase • Amoobi Global Voice Biometrics Market

Table of Contents

Global In-store Analytics Market

1. Preface 1.1. Report Scope and Market Segmentation 1.2. Research Highlights 1.3. Research Objectives 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations 2.3. Research Methodology 2.3.1. Secondary Research 2.3.1.1. Secondary data 2.3.1.2. Secondary Sources 2.3.2. Primary Research 2.3.2.1. Data from Primary Sources 2.3.2.2. Breakdown of Primary Sources 3. Executive Summary: Global In-store Analytics Market Size, by Market Value (US$ Mn) 4. Market Overview 4.1. Introduction 4.2. Market Indicator 4.2.1. Drivers 4.2.2. Restraints 4.2.3. Opportunities 4.2.4. Challenges 4.3. Porter’s Analysis 4.4. Value Chain Analysis 4.5. Market Risk Analysis 4.6. SWOT Analysis 4.7. Global In-store Analytics Market Industry Trends and Emerging Technologies 4.8. Global In-store Analytics Market Competitive Landscape 5. Supply Side and Demand Side Indicators 6. Global In-store Analytics Market Analysis and Forecast 6.1. Global In-store Analytics Market Size & Y-o-Y Growth Analysis 6.1.1. North America 6.1.2. Europe 6.1.3. Asia Pacific 6.1.4. Middle East & Africa 6.1.5. South America 7. Global In-store Analytics Market Analysis and Forecast, by Organization Size 7.1. Introduction and Definition 7.2. Key Findings 7.3. Global In-store Analytics Market Value Share Analysis, by Organization Size 7.4. Global In-store Analytics Market Size (US$ Mn) Forecast, by Organization Size 7.5. Global In-store Analytics Market Analysis, by Organization Size 7.6. Global In-store Analytics Market Attractiveness Analysis, by Organization Size 8. Global In-store Analytics Market Analysis and Forecast, by Deployment Model 8.1. Introduction and Definition 8.2. Key Findings 8.3. Global In-store Analytics Market Value Share Analysis, by Deployment Model 8.4. Global In-store Analytics Market Size (US$ Mn) Forecast, by Deployment Model 8.5. Global In-store Analytics Market Analysis, by Deployment Model 8.6. Global In-store Analytics Market Attractiveness Analysis, by Deployment Model 9. Global In-store Analytics Market Analysis and Forecast, by Component 9.1. Introduction and Definition 9.2. Key Findings 9.3. Global In-store Analytics Market Value Share Analysis, by Component 9.4. Global In-store Analytics Market Size (US$ Mn) Forecast, by Component 9.5. Global In-store Analytics Market Analysis, by Component 9.6. Global In-store Analytics Market Attractiveness Analysis, by Component 10. Global In-store Analytics Market Analysis and Forecast, by Application 10.1. Introduction and Definition 10.2. Key Findings 10.3. Global In-store Analytics Market Value Share Analysis, by Application 10.4. Global In-store Analytics Market Size (US$ Mn) Forecast, by Application 10.5. Global In-store Analytics Market Analysis, by Application 10.6. Global In-store Analytics Market Attractiveness Analysis, by Application 11. Global In-store Analytics Market Analysis, by Region 11.1. Global In-store Analytics Market Value Share Analysis, by Region 11.2. Global In-store Analytics Market Size (US$ Mn) Forecast, by Region 11.3. Global In-store Analytics Market Attractiveness Analysis, by Region 12. North America In-store Analytics Market Analysis 12.1. Key Findings 12.2. North America In-store Analytics Market Overview 12.3. North America In-store Analytics Market Value Share Analysis, by Organization Size 12.4. North America In-store Analytics Market Forecast, by Organization Size 12.4.1. Small and Medium-Sized Enterprises 12.4.2. Large Enterprises 12.5. North America In-store Analytics Market Value Share Analysis, by Deployment Model 12.6. North America In-store Analytics Market Forecast, by Deployment Model 12.6.1. On-Premises 12.6.2. Cloud 12.7. North America In-store Analytics Market Value Share Analysis, by Component 12.8. North America In-store Analytics Market Forecast, by Component 12.8.1. Software 12.8.2. Services 12.8.2.1. Professional Services 12.8.2.1.1. Support and Maintenance Services 12.8.2.1.2. Consulting Services 12.8.3. Managed Services 12.9. North America In-store Analytics Market Value Share Analysis, by Application 12.10. North America In-store Analytics Market Forecast, by Application 12.10.1. Customer Management 12.10.1.1. Customer Footfall Analysis 12.10.1.2. Customer Behavioral Analysis 12.10.1.3. Customer Service 12.10.2. Marketing Management 12.10.2.1. Campaign Management 12.10.2.2. Loyalty Management 12.10.2.3. Cross-Sell and Upsell and Point of Sale 12.10.2.4. Market Basket Analysis 12.10.3. Merchandising Analysis 12.10.3.1. Space Planning and Optimization 12.10.3.2. Product Category Analysis 12.10.3.3. Store Layout Analysis 12.10.4. Store Operations Management 12.10.4.1. Workforce Optimization 12.10.4.2. Top-Performing Categories and Product Identification 12.10.4.3. Inventory Management 12.10.5. Risk and Compliance Management 12.10.5.1. Fraud Detection 12.10.6. Others 12.11. North America In-store Analytics Market Value Share Analysis, by Country 12.12. North America In-store Analytics Market Forecast, by Country 12.12.1. U.S. 12.12.2. Canada 12.13. North America In-store Analytics Market Analysis, by Country 12.14. U.S. In-store Analytics Market Forecast, by Organization Size 12.14.1. Small and Medium-Sized Enterprises 12.14.2. Large Enterprises 12.15. U.S. In-store Analytics Market Forecast, by Deployment Model 12.15.1. On-Premises 12.15.2. Cloud 12.16. U.S. In-store Analytics Market Forecast, by Component 12.16.1. Software 12.16.2. Services 12.16.2.1. Professional Services 12.16.2.1.1. Support and Maintenance Services 12.16.2.1.2. Consulting Services 12.16.3. Managed Services 12.17. U.S. In-store Analytics Market Forecast, by Application 12.17.1. Customer Management 12.17.1.1. Customer Footfall Analysis 12.17.1.2. Customer Behavioral Analysis 12.17.1.3. Customer Service 12.17.2. Marketing Management 12.17.2.1. Campaign Management 12.17.2.2. Loyalty Management 12.17.2.3. Cross-Sell and Upsell and Point of Sale 12.17.2.4. Market Basket Analysis 12.17.3. Merchandising Analysis 12.17.3.1. Space Planning and Optimization 12.17.3.2. Product Category Analysis 12.17.3.3. Store Layout Analysis 12.17.4. Store Operations Management 12.17.4.1. Workforce Optimization 12.17.4.2. Top-Performing Categories and Product Identification 12.17.4.3. Inventory Management 12.17.5. Risk and Compliance Management 12.17.5.1. Fraud Detection 12.17.6. Others 12.18. Canada In-store Analytics Market Forecast, by Organization Size 12.18.1. Small and Medium-Sized Enterprises 12.18.2. Large Enterprises 12.19. Canada In-store Analytics Market Forecast, by Deployment Model 12.19.1. On-Premises 12.19.2. Cloud 12.20. Canada In-store Analytics Market Forecast, by Component 12.20.1. Software 12.20.2. Services 12.20.2.1. Professional Services 12.20.2.1.1. Support and Maintenance Services 12.20.2.1.2. Consulting Services 12.20.3. Managed Services 12.21. Canada In-store Analytics Market Forecast, by Application 12.21.1. Customer Management 12.21.1.1. Customer Footfall Analysis 12.21.1.2. Customer Behavioral Analysis 12.21.1.3. Customer Service 12.21.2. Marketing Management 12.21.2.1. Campaign Management 12.21.2.2. Loyalty Management 12.21.2.3. Cross-Sell and Upsell and Point of Sale 12.21.2.4. Market Basket Analysis 12.21.3. Merchandising Analysis 12.21.3.1. Space Planning and Optimization 12.21.3.2. Product Category Analysis 12.21.3.3. Store Layout Analysis 12.21.4. Store Operations Management 12.21.4.1. Workforce Optimization 12.21.4.2. Top-Performing Categories and Product Identification 12.21.4.3. Inventory Management 12.21.5. Risk and Compliance Management 12.21.5.1. Fraud Detection 12.21.6. Others 12.22. North America In-store Analytics Market Attractiveness Analysis 12.22.1. By Organization Size 12.22.2. By Deployment Model 12.22.3. By Component 12.22.4. By Application 12.23. PEST Analysis 12.24. Key Trends 12.25. Key Developments 13. Europe In-store Analytics Market Analysis 13.1. Key Findings 13.2. Europe In-store Analytics Market Overview 13.3. Europe In-store Analytics Market Value Share Analysis, by Organization Size 13.4. Europe In-store Analytics Market Forecast, by Organization Size 13.4.1. Small and Medium-Sized Enterprises 13.4.2. Large Enterprises 13.5. Europe In-store Analytics Market Value Share Analysis, by Deployment Model 13.6. Europe In-store Analytics Market Forecast, by Deployment Model 13.6.1. On-Premises 13.6.2. Cloud 13.7. Europe In-store Analytics Market Value Share Analysis, by Component 13.8. Europe In-store Analytics Market Forecast, by Component 13.8.1. Software 13.8.2. Services 13.8.2.1. Professional Services 13.8.2.1.1. Support and Maintenance Services 13.8.2.1.2. Consulting Services 13.8.3. Managed Services 13.9. Europe In-store Analytics Market Value Share Analysis, by Application 13.10. Europe In-store Analytics Market Forecast, by Application 13.10.1. Customer Management 13.10.1.1. Customer Footfall Analysis 13.10.1.2. Customer Behavioral Analysis 13.10.1.3. Customer Service 13.10.2. Marketing Management 13.10.2.1. Campaign Management 13.10.2.2. Loyalty Management 13.10.2.3. Cross-Sell and Upsell and Point of Sale 13.10.2.4. Market Basket Analysis 13.10.3. Merchandising Analysis 13.10.3.1. Space Planning and Optimization 13.10.3.2. Product Category Analysis 13.10.3.3. Store Layout Analysis 13.10.4. Store Operations Management 13.10.4.1. Workforce Optimization 13.10.4.2. Top-Performing Categories and Product Identification 13.10.4.3. Inventory Management 13.10.5. Risk and Compliance Management 13.10.5.1. Fraud Detection 13.10.6. Others 13.11. Europe In-store Analytics Market Value Share Analysis, by Country 13.12. Europe In-store Analytics Market Forecast, by Country 13.12.1. Germany 13.12.2. U.K. 13.12.3. France 13.12.4. Italy 13.12.5. Spain 13.12.6. Rest of Europe 13.13. Europe In-store Analytics Market Analysis, by Country 13.14. Germany In-store Analytics Market Forecast, by Organization Size 13.14.1. Small and Medium-Sized Enterprises 13.14.2. Large Enterprises 13.15. Germany In-store Analytics Market Forecast, by Deployment Model 13.15.1. On-Premises 13.15.2. Cloud 13.16. Germany In-store Analytics Market Forecast, by Component 13.16.1. Software 13.16.2. Services 13.16.2.1. Professional Services 13.16.2.1.1. Support and Maintenance Services 13.16.2.1.2. Consulting Services 13.16.3. Managed Services 13.17. Germany In-store Analytics Market Forecast, by Application 13.17.1. Customer Management 13.17.1.1. Customer Footfall Analysis 13.17.1.2. Customer Behavioral Analysis 13.17.1.3. Customer Service 13.17.2. Marketing Management 13.17.2.1. Campaign Management 13.17.2.2. Loyalty Management 13.17.2.3. Cross-Sell and Upsell and Point of Sale 13.17.2.4. Market Basket Analysis 13.17.3. Merchandising Analysis 13.17.3.1. Space Planning and Optimization 13.17.3.2. Product Category Analysis 13.17.3.3. Store Layout Analysis 13.17.4. Store Operations Management 13.17.4.1. Workforce Optimization 13.17.4.2. Top-Performing Categories and Product Identification 13.17.4.3. Inventory Management 13.17.5. Risk and Compliance Management 13.17.5.1. Fraud Detection 13.17.6. Others 13.18. U.K. In-store Analytics Market Forecast, by Organization Size 13.18.1. Small and Medium-Sized Enterprises 13.18.2. Large Enterprises 13.19. U.K. In-store Analytics Market Forecast, by Deployment Model 13.19.1. On-Premises 13.19.2. Cloud 13.20. U.K. In-store Analytics Market Forecast, by Component 13.20.1. Software 13.20.2. Services 13.20.2.1. Professional Services 13.20.2.1.1. Support and Maintenance Services 13.20.2.1.2. Consulting Services 13.20.3. Managed Services 13.21. U.K. In-store Analytics Market Forecast, by Application 13.21.1. Customer Management 13.21.1.1. Customer Footfall Analysis 13.21.1.2. Customer Behavioral Analysis 13.21.1.3. Customer Service 13.21.2. Marketing Management 13.21.2.1. Campaign Management 13.21.2.2. Loyalty Management 13.21.2.3. Cross-Sell and Upsell and Point of Sale 13.21.2.4. Market Basket Analysis 13.21.3. Merchandising Analysis 13.21.3.1. Space Planning and Optimization 13.21.3.2. Product Category Analysis 13.21.3.3. Store Layout Analysis 13.21.4. Store Operations Management 13.21.4.1. Workforce Optimization 13.21.4.2. Top-Performing Categories and Product Identification 13.21.4.3. Inventory Management 13.21.5. Risk and Compliance Management 13.21.5.1. Fraud Detection 13.21.6. Others 13.22. France In-store Analytics Market Forecast, by Organization Size 13.22.1. Small and Medium-Sized Enterprises 13.22.2. Large Enterprises 13.23. France In-store Analytics Market Forecast, by Deployment Model 13.23.1. On-Premises 13.23.2. Cloud 13.24. France In-store Analytics Market Forecast, by Component 13.24.1. Software 13.24.2. Services 13.24.2.1. Professional Services 13.24.2.1.1. Support and Maintenance Services 13.24.2.1.2. Consulting Services 13.24.3. Managed Services 13.25. France In-store Analytics Market Forecast, by Application 13.25.1. Customer Management 13.25.1.1. Customer Footfall Analysis 13.25.1.2. Customer Behavioral Analysis 13.25.1.3. Customer Service 13.25.2. Marketing Management 13.25.2.1. Campaign Management 13.25.2.2. Loyalty Management 13.25.2.3. Cross-Sell and Upsell and Point of Sale 13.25.2.4. Market Basket Analysis 13.25.3. Merchandising Analysis 13.25.3.1. Space Planning and Optimization 13.25.3.2. Product Category Analysis 13.25.3.3. Store Layout Analysis 13.25.4. Store Operations Management 13.25.4.1. Workforce Optimization 13.25.4.2. Top-Performing Categories and Product Identification 13.25.4.3. Inventory Management 13.25.5. Risk and Compliance Management 13.25.5.1. Fraud Detection 13.25.6. Others 13.26. Italy In-store Analytics Market Forecast, by Organization Size 13.26.1. Small and Medium-Sized Enterprises 13.26.2. Large Enterprises 13.27. Italy In-store Analytics Market Forecast, by Deployment Model 13.27.1. On-Premises 13.27.2. Cloud 13.28. Italy In-store Analytics Market Forecast, by Component 13.28.1. Software 13.28.2. Services 13.28.2.1. Professional Services 13.28.2.1.1. Support and Maintenance Services 13.28.2.1.2. Consulting Services 13.28.3. Managed Services 13.29. Italy In-store Analytics Market Forecast, by Application 13.29.1. Customer Management 13.29.1.1. Customer Footfall Analysis 13.29.1.2. Customer Behavioral Analysis 13.29.1.3. Customer Service 13.29.2. Marketing Management 13.29.2.1. Campaign Management 13.29.2.2. Loyalty Management 13.29.2.3. Cross-Sell and Upsell and Point of Sale 13.29.2.4. Market Basket Analysis 13.29.3. Merchandising Analysis 13.29.3.1. Space Planning and Optimization 13.29.3.2. Product Category Analysis 13.29.3.3. Store Layout Analysis 13.29.4. Store Operations Management 13.29.4.1. Workforce Optimization 13.29.4.2. Top-Performing Categories and Product Identification 13.29.4.3. Inventory Management 13.29.5. Risk and Compliance Management 13.29.5.1. Fraud Detection 13.29.6. Others 13.30. Spain In-store Analytics Market Forecast, by Organization Size 13.30.1. Small and Medium-Sized Enterprises 13.30.2. Large Enterprises 13.31. Spain In-store Analytics Market Forecast, by Deployment Model 13.31.1. On-Premises 13.31.2. Cloud 13.32. Spain In-store Analytics Market Forecast, by Component 13.32.1. Software 13.32.2. Services 13.32.2.1. Professional Services 13.32.2.1.1. Support and Maintenance Services 13.32.2.1.2. Consulting Services 13.32.3. Managed Services 13.33. Spain In-store Analytics Market Forecast, by Application 13.33.1. Customer Management 13.33.1.1. Customer Footfall Analysis 13.33.1.2. Customer Behavioral Analysis 13.33.1.3. Customer Service 13.33.2. Marketing Management 13.33.2.1. Campaign Management 13.33.2.2. Loyalty Management 13.33.2.3. Cross-Sell and Upsell and Point of Sale 13.33.2.4. Market Basket Analysis 13.33.3. Merchandising Analysis 13.33.3.1. Space Planning and Optimization 13.33.3.2. Product Category Analysis 13.33.3.3. Store Layout Analysis 13.33.4. Store Operations Management 13.33.4.1. Workforce Optimization 13.33.4.2. Top-Performing Categories and Product Identification 13.33.4.3. Inventory Management 13.33.5. Risk and Compliance Management 13.33.5.1. Fraud Detection 13.33.6. Others 13.34. Rest of Europe In-store Analytics Market Forecast, by Organization Size 13.34.1. Small and Medium-Sized Enterprises 13.34.2. Large Enterprises 13.35. Rest of Europe In-store Analytics Market Forecast, by Deployment Model 13.35.1. On-Premises 13.35.2. Cloud 13.36. Rest of Europe In-store Analytics Market Forecast, by Component 13.36.1. Software 13.36.2. Services 13.36.2.1. Professional Services 13.36.2.1.1. Support and Maintenance Services 13.36.2.1.2. Consulting Services 13.36.3. Managed Services 13.37. Rest Of Europe In-store Analytics Market Forecast, by Application 13.37.1. Customer Management 13.37.1.1. Customer Footfall Analysis 13.37.1.2. Customer Behavioral Analysis 13.37.1.3. Customer Service 13.37.2. Marketing Management 13.37.2.1. Campaign Management 13.37.2.2. Loyalty Management 13.37.2.3. Cross-Sell and Upsell and Point of Sale 13.37.2.4. Market Basket Analysis 13.37.3. Merchandising Analysis 13.37.3.1. Space Planning and Optimization 13.37.3.2. Product Category Analysis 13.37.3.3. Store Layout Analysis 13.37.4. Store Operations Management 13.37.4.1. Workforce Optimization 13.37.4.2. Top-Performing Categories and Product Identification 13.37.4.3. Inventory Management 13.37.5. Risk and Compliance Management 13.37.5.1. Fraud Detection 13.37.6. Others 13.38. Europe In-store Analytics Market Attractiveness Analysis 13.38.1. By Organization Size 13.38.2. By Deployment Model 13.38.3. By Component 13.38.4. By Application 13.39. PEST Analysis 13.40. Key Trends 13.41. Key Developments 14. Asia Pacific In-store Analytics Market Analysis 14.1. Key Findings 14.2. Asia Pacific In-store Analytics Market Overview 14.3. Asia Pacific In-store Analytics Market Value Share Analysis, by Organization Size 14.4. Asia Pacific In-store Analytics Market Forecast, by Organization Size 14.4.1. Small and Medium-Sized Enterprises 14.4.2. Large Enterprises 14.5. Asia Pacific In-store Analytics Market Value Share Analysis, by Deployment Model 14.6. Asia Pacific In-store Analytics Market Forecast, by Deployment Model 14.6.1. On-Premises 14.6.2. Cloud 14.7. Asia Pacific In-store Analytics Market Value Share Analysis, by Component 14.8. Asia Pacific In-store Analytics Market Forecast, by Component 14.8.1. Software 14.8.2. Services 14.8.2.1. Professional Services 14.8.2.1.1. Support and Maintenance Services 14.8.2.1.2. Consulting Services 14.8.3. Managed Services 14.9. Asia Pacific In-store Analytics Market Value Share Analysis, by Application 14.10. Asia Pacific In-store Analytics Market Forecast, by Application 14.10.1. Customer Management 14.10.1.1. Customer Footfall Analysis 14.10.1.2. Customer Behavioral Analysis 14.10.1.3. Customer Service 14.10.2. Marketing Management 14.10.2.1. Campaign Management 14.10.2.2. Loyalty Management 14.10.2.3. Cross-Sell and Upsell and Point of Sale 14.10.2.4. Market Basket Analysis 14.10.3. Merchandising Analysis 14.10.3.1. Space Planning and Optimization 14.10.3.2. Product Category Analysis 14.10.3.3. Store Layout Analysis 14.10.4. Store Operations Management 14.10.4.1. Workforce Optimization 14.10.4.2. Top-Performing Categories and Product Identification 14.10.4.3. Inventory Management 14.10.5. Risk and Compliance Management 14.10.5.1. Fraud Detection 14.10.6. Others 14.11. Asia Pacific In-store Analytics Market Value Share Analysis, by Country 14.12. Asia Pacific In-store Analytics Market Forecast, by Country 14.12.1. China 14.12.2. India 14.12.3. Japan 14.12.4. ASEAN 14.12.5. Rest of Asia Pacific 14.13. Asia Pacific In-store Analytics Market Analysis, by Country 14.14. China In-store Analytics Market Forecast, by Organization Size 14.14.1. Small and Medium-Sized Enterprises 14.14.2. Large Enterprises 14.15. China In-store Analytics Market Forecast, by Deployment Model 14.15.1. On-Premises 14.15.2. Cloud 14.16. China In-store Analytics Market Forecast, by Component 14.16.1. Software 14.16.2. Services 14.16.2.1. Professional Services 14.16.2.1.1. Support and Maintenance Services 14.16.2.1.2. Consulting Services 14.16.3. Managed Services 14.17. China In-store Analytics Market Forecast, by Application 14.17.1. Customer Management 14.17.1.1. Customer Footfall Analysis 14.17.1.2. Customer Behavioral Analysis 14.17.1.3. Customer Service 14.17.2. Marketing Management 14.17.2.1. Campaign Management 14.17.2.2. Loyalty Management 14.17.2.3. Cross-Sell and Upsell and Point of Sale 14.17.2.4. Market Basket Analysis 14.17.3. Merchandising Analysis 14.17.3.1. Space Planning and Optimization 14.17.3.2. Product Category Analysis 14.17.3.3. Store Layout Analysis 14.17.4. Store Operations Management 14.17.4.1. Workforce Optimization 14.17.4.2. Top-Performing Categories and Product Identification 14.17.4.3. Inventory Management 14.17.5. Risk and Compliance Management 14.17.5.1. Fraud Detection 14.17.6. Others 14.18. India In-store Analytics Market Forecast, by Organization Size 14.18.1. Small and Medium-Sized Enterprises 14.18.2. Large Enterprises 14.19. India In-store Analytics Market Forecast, by Deployment Model 14.19.1. On-Premises 14.19.2. Cloud 14.20. India In-store Analytics Market Forecast, by Component 14.20.1. Software 14.20.2. Services 14.20.2.1. Professional Services 14.20.2.1.1. Support and Maintenance Services 14.20.2.1.2. Consulting Services 14.20.3. Managed Services 14.21. India In-store Analytics Market Forecast, by Application 14.21.1. Customer Management 14.21.1.1. Customer Footfall Analysis 14.21.1.2. Customer Behavioral Analysis 14.21.1.3. Customer Service 14.21.2. Marketing Management 14.21.2.1. Campaign Management 14.21.2.2. Loyalty Management 14.21.2.3. Cross-Sell and Upsell and Point of Sale 14.21.2.4. Market Basket Analysis 14.21.3. Merchandising Analysis 14.21.3.1. Space Planning and Optimization 14.21.3.2. Product Category Analysis 14.21.3.3. Store Layout Analysis 14.21.4. Store Operations Management 14.21.4.1. Workforce Optimization 14.21.4.2. Top-Performing Categories and Product Identification 14.21.4.3. Inventory Management 14.21.5. Risk and Compliance Management 14.21.5.1. Fraud Detection 14.21.6. Others 14.22. Japan In-store Analytics Market Forecast, by Organization Size 14.22.1. Small and Medium-Sized Enterprises 14.22.2. Large Enterprises 14.23. Japan In-store Analytics Market Forecast, by Deployment Model 14.23.1. On-Premises 14.23.2. Cloud 14.24. Japan In-store Analytics Market Forecast, by Component 14.24.1. Software 14.24.2. Services 14.24.2.1. Professional Services 14.24.2.1.1. Support and Maintenance Services 14.24.2.1.2. Consulting Services 14.24.3. Managed Services 14.25. Japan In-store Analytics Market Forecast, by Application 14.25.1. Customer Management 14.25.1.1. Customer Footfall Analysis 14.25.1.2. Customer Behavioral Analysis 14.25.1.3. Customer Service 14.25.2. Marketing Management 14.25.2.1. Campaign Management 14.25.2.2. Loyalty Management 14.25.2.3. Cross-Sell and Upsell and Point of Sale 14.25.2.4. Market Basket Analysis 14.25.3. Merchandising Analysis 14.25.3.1. Space Planning and Optimization 14.25.3.2. Product Category Analysis 14.25.3.3. Store Layout Analysis 14.25.4. Store Operations Management 14.25.4.1. Workforce Optimization 14.25.4.2. Top-Performing Categories and Product Identification 14.25.4.3. Inventory Management 14.25.5. Risk and Compliance Management 14.25.5.1. Fraud Detection 14.25.6. Others 14.26. ASEAN In-store Analytics Market Forecast, by Organization Size 14.26.1. Small and Medium-Sized Enterprises 14.26.2. Large Enterprises 14.27. ASEAN In-store Analytics Market Forecast, by Deployment Model 14.27.1. On-Premises 14.27.2. Cloud 14.28. ASEAN In-store Analytics Market Forecast, by Component 14.28.1. Software 14.28.2. Services 14.28.2.1. Professional Services 14.28.2.1.1. Support and Maintenance Services 14.28.2.1.2. Consulting Services 14.28.3. Managed Services 14.29. ASEAN In-store Analytics Market Forecast, by Application 14.29.1. Customer Management 14.29.1.1. Customer Footfall Analysis 14.29.1.2. Customer Behavioral Analysis 14.29.1.3. Customer Service 14.29.2. Marketing Management 14.29.2.1. Campaign Management 14.29.2.2. Loyalty Management 14.29.2.3. Cross-Sell and Upsell and Point of Sale 14.29.2.4. Market Basket Analysis 14.29.3. Merchandising Analysis 14.29.3.1. Space Planning and Optimization 14.29.3.2. Product Category Analysis 14.29.3.3. Store Layout Analysis 14.29.4. Store Operations Management 14.29.4.1. Workforce Optimization 14.29.4.2. Top-Performing Categories and Product Identification 14.29.4.3. Inventory Management 14.29.5. Risk and Compliance Management 14.29.5.1. Fraud Detection 14.29.6. Others 14.30. Rest of Asia Pacific In-store Analytics Market Forecast, by Organization Size 14.30.1. Small and Medium-Sized Enterprises 14.30.2. Large Enterprises 14.31. Rest of Asia Pacific In-store Analytics Market Forecast, by Deployment Model 14.31.1. On-Premises 14.31.2. Cloud 14.32. Rest of Asia Pacific In-store Analytics Market Forecast, by Component 14.32.1. Software 14.32.2. Services 14.32.2.1. Professional Services 14.32.2.1.1. Support and Maintenance Services 14.32.2.1.2. Consulting Services 14.32.3. Managed Services 14.33. Rest of Asia Pacific In-store Analytics Market Forecast, by Application 14.33.1. Customer Management 14.33.1.1. Customer Footfall Analysis 14.33.1.2. Customer Behavioral Analysis 14.33.1.3. Customer Service 14.33.2. Marketing Management 14.33.2.1. Campaign Management 14.33.2.2. Loyalty Management 14.33.2.3. Cross-Sell and Upsell and Point of Sale 14.33.2.4. Market Basket Analysis 14.33.3. Merchandising Analysis 14.33.3.1. Space Planning and Optimization 14.33.3.2. Product Category Analysis 14.33.3.3. Store Layout Analysis 14.33.4. Store Operations Management 14.33.4.1. Workforce Optimization 14.33.4.2. Top-Performing Categories and Product Identification 14.33.4.3. Inventory Management 14.33.5. Risk and Compliance Management 14.33.5.1. Fraud Detection 14.33.6. Others 14.34. Asia Pacific In-store Analytics Market Attractiveness Analysis 14.34.1. By Organization Size 14.34.2. By Deployment Model 14.34.3. By Component 14.34.4. By Application 14.35. PEST Analysis 14.36. Key Trends 14.37. Key Developments 15. Middle East & Africa In-store Analytics Market Analysis 15.1. Key Findings 15.2. Middle East & Africa In-store Analytics Market Overview 15.3. Middle East & Africa In-store Analytics Market Value Share Analysis, by Organization Size 15.4. Middle East & Africa In-store Analytics Market Forecast, by Organization Size 15.4.1. Small and Medium-Sized Enterprises 15.4.2. Large Enterprises 15.5. Middle East & Africa In-store Analytics Market Value Share Analysis, by Deployment Model 15.6. Middle East & Africa In-store Analytics Market Forecast, by Deployment Model 15.6.1. On-Premises 15.6.2. Cloud 15.7. Middle East & Africa In-store Analytics Market Value Share Analysis, by Component 15.8. Middle East & Africa In-store Analytics Market Forecast, by Component 15.8.1. Software 15.8.2. Services 15.8.2.1. Professional Services 15.8.2.1.1. Support and Maintenance Services 15.8.2.1.2. Consulting Services 15.8.3. Managed Services 15.9. Middle East & Africa In-store Analytics Market Value Share Analysis, by Application 15.10. Middle East & Africa In-store Analytics Market Forecast, by Application 15.10.1. Customer Management 15.10.1.1. Customer Footfall Analysis 15.10.1.2. Customer Behavioral Analysis 15.10.1.3. Customer Service 15.10.2. Marketing Management 15.10.2.1. Campaign Management 15.10.2.2. Loyalty Management 15.10.2.3. Cross-Sell and Upsell and Point of Sale 15.10.2.4. Market Basket Analysis 15.10.3. Merchandising Analysis 15.10.3.1. Space Planning and Optimization 15.10.3.2. Product Category Analysis 15.10.3.3. Store Layout Analysis 15.10.4. Store Operations Management 15.10.4.1. Workforce Optimization 15.10.4.2. Top-Performing Categories and Product Identification 15.10.4.3. Inventory Management 15.10.5. Risk and Compliance Management 15.10.5.1. Fraud Detection 15.10.6. Others 15.11. Middle East & Africa In-store Analytics Market Value Share Analysis, by Country 15.12. Middle East & Africa In-store Analytics Market Forecast, by Country 15.12.1. GCC 15.12.2. South Africa 15.12.3. Rest of Middle East & Africa 15.13. Middle East & Africa In-store Analytics Market Analysis, by Country 15.14. GCC In-store Analytics Market Forecast, by Organization Size 15.14.1. Small and Medium-Sized Enterprises 15.14.2. Large Enterprises 15.15. GCC In-store Analytics Market Forecast, by Deployment Model 15.15.1. On-Premises 15.15.2. Cloud 15.16. GCC In-store Analytics Market Forecast, by Component 15.16.1. Software 15.16.2. Services 15.16.2.1. Professional Services 15.16.2.1.1. Support and Maintenance Services 15.16.2.1.2. Consulting Services 15.16.3. Managed Services 15.17. GCC In-store Analytics Market Forecast, by Application 15.17.1. Customer Management 15.17.1.1. Customer Footfall Analysis 15.17.1.2. Customer Behavioral Analysis 15.17.1.3. Customer Service 15.17.2. Marketing Management 15.17.2.1. Campaign Management 15.17.2.2. Loyalty Management 15.17.2.3. Cross-Sell and Upsell and Point of Sale 15.17.2.4. Market Basket Analysis 15.17.3. Merchandising Analysis 15.17.3.1. Space Planning and Optimization 15.17.3.2. Product Category Analysis 15.17.3.3. Store Layout Analysis 15.17.4. Store Operations Management 15.17.4.1. Workforce Optimization 15.17.4.2. Top-Performing Categories and Product Identification 15.17.4.3. Inventory Management 15.17.5. Risk and Compliance Management 15.17.5.1. Fraud Detection 15.17.6. Others 15.18. South Africa In-store Analytics Market Forecast, by Organization Size 15.18.1. Small and Medium-Sized Enterprises 15.18.2. Large Enterprises 15.19. South Africa In-store Analytics Market Forecast, by Deployment Model 15.19.1. On-Premises 15.19.2. Cloud 15.20. South Africa In-store Analytics Market Forecast, by Component 15.20.1. Software 15.20.2. Services 15.20.2.1. Professional Services 15.20.2.1.1. Support and Maintenance Services 15.20.2.1.2. Consulting Services 15.20.3. Managed Services 15.21. South Africa In-store Analytics Market Forecast, by Application 15.21.1. Customer Management 15.21.1.1. Customer Footfall Analysis 15.21.1.2. Customer Behavioral Analysis 15.21.1.3. Customer Service 15.21.2. Marketing Management 15.21.2.1. Campaign Management 15.21.2.2. Loyalty Management 15.21.2.3. Cross-Sell and Upsell and Point of Sale 15.21.2.4. Market Basket Analysis 15.21.3. Merchandising Analysis 15.21.3.1. Space Planning and Optimization 15.21.3.2. Product Category Analysis 15.21.3.3. Store Layout Analysis 15.21.4. Store Operations Management 15.21.4.1. Workforce Optimization 15.21.4.2. Top-Performing Categories and Product Identification 15.21.4.3. Inventory Management 15.21.5. Risk and Compliance Management 15.21.5.1. Fraud Detection 15.21.6. Others 15.22. Rest of Middle East & Africa In-store Analytics Market Forecast, by Organization Size 15.22.1. Small and Medium-Sized Enterprises 15.22.2. Large Enterprises 15.23. Rest of Middle East & Africa In-store Analytics Market Forecast, by Deployment Model 15.23.1. On-Premises 15.23.2. Cloud 15.24. Rest of Middle East & Africa In-store Analytics Market Forecast, by Component 15.24.1. Software 15.24.2. Services 15.24.2.1. Professional Services 15.24.2.1.1. Support and Maintenance Services 15.24.2.1.2. Consulting Services 15.24.3. Managed Services 15.25. Rest of Middle East & Africa In-store Analytics Market Forecast, by Application 15.25.1. Customer Management 15.25.1.1. Customer Footfall Analysis 15.25.1.2. Customer Behavioral Analysis 15.25.1.3. Customer Service 15.25.2. Marketing Management 15.25.2.1. Campaign Management 15.25.2.2. Loyalty Management 15.25.2.3. Cross-Sell and Upsell and Point of Sale 15.25.2.4. Market Basket Analysis 15.25.3. Merchandising Analysis 15.25.3.1. Space Planning and Optimization 15.25.3.2. Product Category Analysis 15.25.3.3. Store Layout Analysis 15.25.4. Store Operations Management 15.25.4.1. Workforce Optimization 15.25.4.2. Top-Performing Categories and Product Identification 15.25.4.3. Inventory Management 15.25.5. Risk and Compliance Management 15.25.5.1. Fraud Detection 15.25.6. Others 15.26. Middle East & Africa In-store Analytics Market Attractiveness Analysis 15.26.1. By Organization Size 15.26.2. By Deployment Model 15.26.3. By Component 15.26.4. By Application 15.27. PEST Analysis 15.28. Key Trends 15.29. Key Developments 16. South America In-store Analytics Market Analysis 16.1. Key Findings 16.2. South America In-store Analytics Market Overview 16.3. South America In-store Analytics Market Value Share Analysis, by Organization Size 16.4. South America In-store Analytics Market Forecast, by Organization Size 16.4.1. Small and Medium-Sized Enterprises 16.4.2. Large Enterprises 16.5. South America In-store Analytics Market Value Share Analysis, by Deployment Model 16.6. South America In-store Analytics Market Forecast, by Deployment Model 16.6.1. On-Premises 16.6.2. Cloud 16.7. South America In-store Analytics Market Value Share Analysis, by Component 16.8. South America In-store Analytics Market Forecast, by Component 16.8.1. Software 16.8.2. Services 16.8.2.1. Professional Services 16.8.2.1.1. Support and Maintenance Services 16.8.2.1.2. Consulting Services 16.8.3. Managed Services 16.9. South America In-store Analytics Market Value Share Analysis, by Application 16.10. South America In-store Analytics Market Forecast, by Application 16.10.1. Customer Management 16.10.1.1. Customer Footfall Analysis 16.10.1.2. Customer Behavioral Analysis 16.10.1.3. Customer Service 16.10.2. Marketing Management 16.10.2.1. Campaign Management 16.10.2.2. Loyalty Management 16.10.2.3. Cross-Sell and Upsell and Point of Sale 16.10.2.4. Market Basket Analysis 16.10.3. Merchandising Analysis 16.10.3.1. Space Planning and Optimization 16.10.3.2. Product Category Analysis 16.10.3.3. Store Layout Analysis 16.10.4. Store Operations Management 16.10.4.1. Workforce Optimization 16.10.4.2. Top-Performing Categories and Product Identification 16.10.4.3. Inventory Management 16.10.5. Risk and Compliance Management 16.10.5.1. Fraud Detection 16.10.6. Others 16.11. South America In-store Analytics Market Value Share Analysis, by Country 16.12. South America In-store Analytics Market Forecast, by Country 16.12.1. Brazil 16.12.2. Mexico 16.12.3. Rest of South America 16.13. South America In-store Analytics Market Analysis, by Country 16.14. Brazil In-store Analytics Market Forecast, by Organization Size 16.14.1. Small and Medium-Sized Enterprises 16.14.2. Large Enterprises 16.15. Brazil In-store Analytics Market Forecast, by Deployment Model 16.15.1. On-Premises 16.15.2. Cloud 16.16. Brazil In-store Analytics Market Forecast, by Component 16.16.1. Software 16.16.2. Services 16.16.2.1. Professional Services 16.16.2.1.1. Support and Maintenance Services 16.16.2.1.2. Consulting Services 16.16.3. Managed Services 16.17. Brazil In-store Analytics Market Forecast, by Application 16.17.1. Customer Management 16.17.1.1. Customer Footfall Analysis 16.17.1.2. Customer Behavioral Analysis 16.17.1.3. Customer Service 16.17.2. Marketing Management 16.17.2.1. Campaign Management 16.17.2.2. Loyalty Management 16.17.2.3. Cross-Sell and Upsell and Point of Sale 16.17.2.4. Market Basket Analysis 16.17.3. Merchandising Analysis 16.17.3.1. Space Planning and Optimization 16.17.3.2. Product Category Analysis 16.17.3.3. Store Layout Analysis 16.17.4. Store Operations Management 16.17.4.1. Workforce Optimization 16.17.4.2. Top-Performing Categories and Product Identification 16.17.4.3. Inventory Management 16.17.5. Risk and Compliance Management 16.17.5.1. Fraud Detection 16.17.6. Others 16.18. Mexico In-store Analytics Market Forecast, by Organization Size 16.18.1. Small and Medium-Sized Enterprises 16.18.2. Large Enterprises 16.19. Mexico In-store Analytics Market Forecast, by Deployment Model 16.19.1. On-Premises 16.19.2. Cloud 16.20. Mexico In-store Analytics Market Forecast, by Component 16.20.1. Software 16.20.2. Services 16.20.2.1. Professional Services 16.20.2.1.1. Support and Maintenance Services 16.20.2.1.2. Consulting Services 16.20.3. Managed Services 16.21. Mexico In-store Analytics Market Forecast, by Application 16.21.1. Customer Management 16.21.1.1. Customer Footfall Analysis 16.21.1.2. Customer Behavioral Analysis 16.21.1.3. Customer Service 16.21.2. Marketing Management 16.21.2.1. Campaign Management 16.21.2.2. Loyalty Management 16.21.2.3. Cross-Sell and Upsell and Point of Sale 16.21.2.4. Market Basket Analysis 16.21.3. Merchandising Analysis 16.21.3.1. Space Planning and Optimization 16.21.3.2. Product Category Analysis 16.21.3.3. Store Layout Analysis 16.21.4. Store Operations Management 16.21.4.1. Workforce Optimization 16.21.4.2. Top-Performing Categories and Product Identification 16.21.4.3. Inventory Management 16.21.5. Risk and Compliance Management 16.21.5.1. Fraud Detection 16.21.6. Others 16.22. Rest of South America In-store Analytics Market Forecast, by Organization Size 16.22.1. Small and Medium-Sized Enterprises 16.22.2. Large Enterprises 16.23. Rest of South America In-store Analytics Market Forecast, by Deployment Model 16.23.1. On-Premises 16.23.2. Cloud 16.24. Rest of South America In-store Analytics Market Forecast, by Component 16.24.1. Software 16.24.2. Services 16.24.2.1. Professional Services 16.24.2.1.1. Support and Maintenance Services 16.24.2.1.2. Consulting Services 16.24.3. Managed Services 16.25. Rest of South America In-store Analytics Market Forecast, by Application 16.25.1. Customer Management 16.25.1.1. Customer Footfall Analysis 16.25.1.2. Customer Behavioral Analysis 16.25.1.3. Customer Service 16.25.2. Marketing Management 16.25.2.1. Campaign Management 16.25.2.2. Loyalty Management 16.25.2.3. Cross-Sell and Upsell and Point of Sale 16.25.2.4. Market Basket Analysis 16.25.3. Merchandising Analysis 16.25.3.1. Space Planning and Optimization 16.25.3.2. Product Category Analysis 16.25.3.3. Store Layout Analysis 16.25.4. Store Operations Management 16.25.4.1. Workforce Optimization 16.25.4.2. Top-Performing Categories and Product Identification 16.25.4.3. Inventory Management 16.25.5. Risk and Compliance Management 16.25.5.1. Fraud Detection 16.25.6. Others 16.26. South America In-store Analytics Market Attractiveness Analysis 16.26.1. By Organization Size 16.26.2. By Deployment Model 16.26.3. By Component 16.26.4. By Application 16.27. PEST Analysis 16.28. Key Trends 16.29. Key Developments 17. Company Profiles 17.1. Market Share Analysis, by Company 17.2. Competition Matrix 17.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications and R&D investment 17.2.2. New Product Launches and Product Enhancements 17.2.3. Market Consolidation 17.2.3.1. M&A by Regions, Investment and Applications 17.2.3.2. M&A Key Players, Forward Integration and Backward Integration 17.3. Company Profiles: Key Players 17.3.1. RetailNext 17.3.1.1. Company Overview 17.3.1.2. Financial Overview 17.3.1.3. Product Portfolio 17.3.1.4. Business Strategy 17.3.1.5. Recent Developments 17.3.1.6. Development Footprint 17.3.2. Mindtree 17.3.3. Thinkinside 17.3.4. Happiest Minds 17.3.5. SAP 17.3.6. Celect 17.3.7. Capillary Technologies 17.3.8. Inpixon 17.3.9. Scanalytics 17.3.10. Retail Solutions 17.3.11. Dor Technologies 17.3.12. SEMSEYE 17.3.13. InvenSense 17.3.14. Walkbase 17.3.15. Amoobi 18. Primary Key Insights

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Report ID30062
Category Information Technology & Telecommunication
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Published DateMay 2019
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