Global In-Store Analytics Market to 2027
Global In-Store Analytics Market to 2027
Market Overview
In-store analytics are the solutions that aid retailers to connect and attract their customers. This solution collects meaningful information regarding customer product preferences, purchase patterns, customer behavior, and demographic data. Also, in-store analytics optimizes the store performance of the retailers by improving the customer experience and overall sales.
Market Drivers
Increase in competition from e- commerce players is the key driving factor which is expected to boost the global in-store analytics market growth. Furthermore, increase in need for better customer service and enhanced shopping experience will have the positive impact on market growth. Moreover, increase in data volume around in- store operations will fuel the market growth. In addition to that, adoption of cloud technologies in-store analytics and rise in adoption of in store analytics in underdeveloped countries will propel the market growth.
Market Restraints
However, data security and privacy concerns are the major restraining factors which are expected to hinder the global in-store analytics market growth. Also, lack skilled personnel will affect the market growth.
Market Segmentation
Global In-Store Analytics Market is segmented into application such as Space Planning and Optimization, Store Operation Management, and Customer Behavioral Analysis. Further, market is segmented into deployment type such as Cloud, and On-Premises.
Also, Global In-Store Analytics Market is segmented into five regions such as North America, Latin America, Europe, Asia Pacific, and Middle East & Africa.
Market Key Players
Various key players are discussed in this report such as RetailNext, Mindtree, Thinkinside, Happiest Minds, SAP, Celect, Capillary Technologies, Inpixon, and Scanalytics
Market Taxonomy
By Application
- Space Planning and Optimization
- Store Operation Management
- Customer Behavioral Analysis
- Cloud
- On Premise
- North America
- Latin America
- Europe
- Asia Pacific
- Middle East & Africa
- 1 Introduction
- 1.1 Objective of the Study
- 1.2 Market definition
- 1.3 Market Scope
- 2 Research Methodology
- 2.1 Data Mining
- 2.2 Validation
- 2.3 Primary Interviews
- 2.4 List of Data Sources
- 3 Executive Summary
- 4 Global In-Store Analytics Market Outlook
- 4.1 Overview
- 4.2 Market Dynamics
- 4.2.1 Drivers
- 4.2.2 Restraints
- 4.2.3 Opportunities
- 4.3 Porters Five Force Model
- 4.4 Value Chain Analysis
- 5 Global In-Store Analytics Market, By Application
- 5.1 Y-o-Y Growth Comparison, By Application
- 5.2 Global In-Store Analytics Market Share Analysis, By Application
- 5.3 Global In-Store Analytics Market Size and Forecast, By Application
- 5.3.1 Space Planning and Optimizing
- 5.3.2 Store Operation Management
- 5.3.3 Customer Behavioural Analysis
- 6 Global In-Store Analytics Market, By Deployment Type
- 6.1 Y-o-Y Growth Comparison, By Deployment Type
- 6.2 Global In-Store Analytics Market Share Analysis, By Deployment Type
- 6.3 Global In-Store Analytics Market Size and Forecast, By Deployment Type
- 6.3.1 Cloud
- 6.3.2 On-Premise
- 7 Global In-Store Analytics Market, By Region
- 7.1 Global In-Store Analytics Market Share Analysis, By Region
- 7.2 Global In-Store Analytics Market Share Analysis, By Region
- 7.3 Global In-Store Analytics Market Size and Forecast, By Region
- 8 North America In-Store Analytics Market Analysis and Forecast (2017 – 2027)
- 8.1 Introduction
- 8.2 North America In-Store Analytics Market Share Analysis, By Application
- 8.3 North America In-Store Analytics Market Size and Forecast, By Deployment Type
- 8.4 North America In-Store Analytics Market Size and Forecast, By Country
- 8.4.1 U.S
- 8.4.2 Canada
- 8.4.3 Mexico
- 9 Europe In-Store Analytics Market Analysis and Forecast (2017 – 2027)
- 9.1 Introduction
- 9.2 Europe In-Store Analytics Market Share Analysis, By Application
- 9.3 Europe In-Store Analytics Market Size and Forecast, By Deployment Type
- 9.4 Europe In-Store Analytics Market Size and Forecast, By Country
- 9.4.1 Germany
- 9.4.2 France
- 9.4.3 UK
- 9.4.4. Rest of Europe
- 10 Asia Pacific In-Store Analytics Market Analysis and Forecast (2017 – 2027)
- 10.1 Introduction
- 10.2 Asia Pacific In-Store Analytics Market Share Analysis, By Application
- 10.3 Asia Pacific In-Store Analytics Market Size and Forecast, By Deployment Type
- 10.4 Asia Pacific In-Store Analytics Market Size and Forecast, By Country
- 10.4.1 China
- 10.4.2 Japan
- 10.4.3 India
- 10.4.4. Rest of Asia Pacific
- 11 Latin America In-Store Analytics Market Analysis and Forecast (2017 – 2027)
- 11.1 Introduction
- 11.2 Latin America In-Store Analytics Market Share Analysis, By Application
- 11.3 Latin America In-Store Analytics Market Size and Forecast, By Deployment Type
- 11.4 Latin America In-Store Analytics Market Size and Forecast, By Country
- 12 Middle East In-Store Analytics Market Analysis and Forecast (2017 – 2027)
- 12.1 Introduction
- 12.2 Middle East In-Store Analytics Market Share Analysis, By Application
- 12.3 Middle East In-Store Analytics Market Size and Forecast, By Deployment Type
- 12.4 Middle East In-Store Analytics Market Size and Forecast, By Country
- 13 Competitive Analysis
- 13.1 Competition Dashboard
- 13.2 Market share Analysis of Top Vendors
- 13.3 Key Development Strategies
- 14 Company Profiles
- 15.1 RetailNext
- 15.1.1 Overview
- 15.1.2 Offerings
- 15.1.3 Key Financials
- 15.1.4 Business Segment & Geographic Overview
- 15.1.5 Key Market Developments
- 15.1.6 Key Strategies
- 15.2 Mindtree
- 15.2.1 Overview
- 15.2.2 Offerings
- 15.2.3 Key Financials
- 15.2.4 Business Segment & Geographic Overview
- 15.2.5 Key Market Developments
- 15.2.6 Key Strategies
- 15.3 Thinkinside
- 15.3.1 Overview
- 15.3.2 Offerings
- 15.3.3 Key Financials
- 15.3.4 Business Segment & Geographic Overview
- 15.3.5 Key Market Developments
- 15.3.6 Key Strategies
- 15.4 Happiest Minds
- 15.4.1 Overview
- 15.4.2 Offerings
- 15.4.3 Key Financials
- 15.4.4 Business Segment & Geographic Overview
- 15.4.5 Key Market Developments
- 15.4.6 Key Strategies
- 15.5 SAP
- 15.5.1 Overview
- 15.5.2 Offerings
- 15.5.3 Key Financials
- 15.5.4 Business Segment & Geographic Overview
- 15.5.5 Key Market Developments
- 15.5.6 Key Strategies
- 15.6 Celect
- 15.6.1 Overview
- 15.6.2 Offerings
- 15.6.3 Key Financials
- 15.6.4 Business Segment & Geographic Overview
- 15.6.5 Key Market Developments
- 15.6.6 Key Strategies
- 15.7 Capillary Technologies
- 15.7.1 Overview
- 15.7.2 Offerings
- 15.7.3 Key Financials
- 15.7.4 Business Segment & Geographic Overview
- 15.7.5 Key Market Developments
- 15.7.6 Key Strategies
- 15.8 Inpixon
- 15.8.1 Overview
- 15.8.2 Offerings
- 15.8.3 Key Financials
- 15.8.4 Business Segment & Geographic Overview
- 15.8.5 Key Market Developments
- 15.8.6 Key Strategies
- 15.9 Scanalytics
- 15.9.1 Overview
- 15.9.2 Offerings
- 15.9.3 Key Financials
- 15.9.4 Business Segment & Geographic Overview
- 15.9.5 Key Market Developments
- 15.9.6 Key Strategies
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