In-store Analytics Market By Component (Solutions and Services), Application (Customer Management, Competitive Intelligence, Merchandising, Operations and Sales & Marketing), Deployment Mode (Cloud and On-premise), and Region (North America, Europe, APAC, and RoW) – Global Forecast up to 2025

  • August, 2019
  • Domain: ICT - Social, Mobile, Analytics & Cloud (SMAC)
Pages: 82
Tables: 33
Charts: 37
Regions/Countries: 4/6
Companies: 14
Enquiry Hours: 10
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This market research report includes a detailed segmentation of the global in-store analytics market by Component (Solutions and Services), by Application (Customer Management, Competitive Intelligence, Merchandising, Operations, Sales and Marketing, and Others), by Deployment Mode (Cloud and On-premise), and by Geography (North America, Europe, APAC, and RoW). The market research report identifies SAP, Mindtree, Happiest Minds, and Capgemini as the major vendors operating in the global in-store analytics market.
Overview of the Global In-store Analytics Market
According to Infoholic Research, the global in-store analytics market will grow at a rate of over 21% during the forecast period 2019–2025 and will be valued more than $3 billion by 2025. The market for in-store analytics is driven by the increasing adoption of advanced technologies such as cloud-based analytics for decision-making. For instance, in April 2019, Walmart, an American retail corporation deployed AI technology to monitor retail stores in real-time. The company is digitizing its stores with an objective to enhance the customer’s buying experience.
According to the global in-store analytics market analysis, North America accounted for the largest share of the global in-store analytics market in 2018. With the presence of the highest number of technology innovators and increasing adoption of in-store analytics by the retail corporations to enhance customer’s buying experience this region is expected to dominate the market during the forecast period. The Asia Pacific region is expected to witness the fastest growth rate due to rising adoption of in-store analytics solutions for reforming the retail landscape during the forecast period.
In-store Analytics Market Research Competitive Analysis and Key Vendors
The report covers and analyzes the global in-store analytics market. Major vendors across different verticals are increasingly developing products and investments in this market, and as a result the in-store analytics market is expected to grow at a good pace in the coming years. The key players in the in-store analytics market are adopting various organic as well as inorganic growth strategies such as mergers & acquisitions, collaborations & partnerships, joint ventures, and few other strategies to gain a competitive advantage in the market.
Few of the Key Vendors in the In-store Analytics Market

  • SAP
  • Mindtree
  • Happiest Minds
  • Capillary Technologies
  • Celect
  • Capgemini
  • RetailNext
  • Sisense
  • Thinkinside

These companies are providing in-store analytics solutions across areas. There are numerous other vendors that have been studied based on the portfolio, geographical presence, marketing & distribution channels, revenue generation, and significant investments in R&D for analysis of the entire ecosystem.
In-store Analytics Market Segmentation By Deployment

  • On-premises
  • Cloud-based

On the basis of deployment mode, the global in-store analytics market is segmented to on-premises and cloud-based. Cloud-based subsegment is expected to grow significantly owing to low-cost availability and user-friendly deployment mode.
In-store Analytics Market Segmentation By Application

  • Customer Management
  • Competitive Intelligence
  • Merchandising
  • Operations
  • Sales and Marketing
  • Others

Based on application, the market is segmented into Customer Management, Competitive Intelligence, Merchandising, Operations, Sales and Marketing, and Others. Customer Management and Merchandising are expected to contribute significantly during the forecast period 2019–2025 predominately due to the growing adoption of AI and analytics to gain customer insights.
In-store Analytics Market Segmentation By Component

  • Solutions
  • Services

On the basis of component, the market is segmented into solutions and services. The solutions segment in the in-store analytics market will register strong growth since these solutions are enabling retail stores to effectively identify customer preferences and build a strategy based on insights.
In-store Analytics Market Research Benefits
The report provides an in-depth analysis of the in-store analytics market. In-store analytics provides retailers an opportunity to understand customer demand in real-time through open management of products and resources. The technology enhances data sharing and analyzing capabilities resulting in the growth of in-store analytics market across the globe. The growing adoption of new-age technologies such as AI and their integration with various software solutions is rapidly being adopted among brick and mortar retailers for an omnichannel retail approach. This adoption is resulting in enhanced customer in-store experience as well as predicting customer demand in real-time. Sephora, a beauty retailer introduced the omnichannel expansion of its new bricks-and-mortar connected boutique in the US facilitated with mobile-enabled experiences such as browsing products on in-store iPad stations and providing customized digital makeover suggestions over emails to customers.
Europe will witness significant growth in the in-store analytics market during the forecast period. Retailers across the region are shifting towards advanced concepts of retail from brick and mortar. Rapid embracement of technological advances such as AI, cloud, and others are driving the demand for in-store analytics. Additionally, business expansion by retailers is also boosting the adoption of in-store analytics solutions. Amazon is planning to expand its grocery store business in the UK by bringing a cashier-less shopping experience.
Currently, several in-store analytics players are offering several solutions that are being used across retail players globally. The report discusses the market in terms of deployment, application, component, and regions. Further, the report provides details about the major challenges and drivers impacting market growth.

1                Executive Summary 

2                Industry Outlook 

2.1            Industry Snapshot

2.1.1        Industry Trends 

3                Market Snapshot 

3.1         Total Addressable Market

3.2            Segmented Addressable Market

3.2.1        PEST Analysis 

3.2.2        Porter’s Five Force Analysis 

3.23          Related Markets 

4                Market Characteristics 

4.1            Market Ecosystem  

4.2            Market Segmentation 

4.3            Market Dynamics 

4.3.1        Drivers    Need for monitoring footfall traffic data    XXXX 

4.3.2        Restraints    Lack of essential infrastructure   XXXX 

4.3.3        Opportunities    Integration of predictive analytics    XXXX 

4.3.4        DRO – Impact Analysis

5                Global In-store Analytics Market, By Mode of Deployment 

5.1         Overview

5.2         On-premise

5.3         Cloud-based

6                Global In-store Analytics Market, By Application 

6.1         Overview

6.2            Customer Management

6.3         Competitive Intelligence

6.4         Merchandising

6.5         Operations

6.6         Sales and Marketing

6.7         Others

7                Global In-store Analytics Market, By Component 

7.1         Overview

7.2            Solution

7.3         Services 

8                Global In-store Analytics Market, By Region 

8.1            Overview  

8.2            North America

8.3            Europe

8.4            APAC

8.5            RoW  

9                Competitive Landscape 

9.1            Competitor Analysis 

9.2            Product/Offerings 

9.3            Market Developments 

9.3.1        Mergers & Acquisitions (M&A)

9.3.2        Expansions 

9.3.3        Business Restructuring 

10          Vendors Profile 

10.1       Thinkinside

10.1.1    Analyst Opinion

10.1.2    Business Analysis

10.2       Happiest Minds

10.2.1    Analyst Opinion

10.2.2    Business Analysis

10.3       Sisense

10.3.1    Analyst Opinion

10.3.2    Business Analysis

10.4       Capgemini

10.4.1    Analyst Opinion

10.4.2    Business Analysis

10.5       Capillary Technologies

10.5.1    Analyst Opinion

10.5.2    Business Analysis

10.6       Celect

10.6.1    Analyst Opinion

10.6.2    Business Analysis

10.7       RetailNext

10.7.1    Analyst Opinion

10.7.2    Business Analysis 

10.8       SAP

10.8.1    Analyst Opinion

10.8.2    Business Analysis 

10.9       SAS Institute

10.9.1    Analyst Opinion

10.9.2    Business Analysis 

10.10     Mindtree

10.10.1  Analyst Opinion

10.10.2  Business Analysis 

10.11     Accenture

10.12     Coursa Retail

10.13     Walkbase

10.14     Kinexon 

11             Annexure 

11.1          Report Scope 

11.2          Market Definition 

11.3          Research Methodology 

11.3.1      Data Collation & In-house Estimation 

11.3.2      Market Triangulation 

11.3.3      Forecasting 

11.4          Study Declaration 

11.5          Report Assumptions 

11.6        Stakeholders

Research Framework

Infoholic research works on a holistic 360° approach in order to deliver high quality, validated and reliable information in our market reports. The Market estimation and forecasting involves following steps:

  • Data Collation (Primary & Secondary)
  • In-house Estimation (Based on proprietary data bases and Models)
  • Market Triangulation
  • Forecasting

Market related information is congregated from both primary and secondary sources.

Primary sources

involved participants from all global stakeholders such as Solution providers, service providers, Industry associations, thought leaders etc. across levels such as CXOs, VPs and managers. Plus, our in-house industry experts having decades of industry experience contribute their consulting and advisory services.

Secondary sources

include public sources such as regulatory frameworks, government IT spending, government demographic indicators, industry association statistics, and company publications along with paid sources such as Factiva, OneSource, Bloomberg among others.

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