In-Store Analytics Market By Component, by Application, by Component Mode, and By Region Global Forecast up to 2025

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.

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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.

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.

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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.

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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.

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.

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Some Points OF Table Of Content:

Chapter One: Executive Summary

Chapter Two: Industry Outlook
2.1Industry Snapshot
2.1.1Industry Trends

Chapter Three: Market Snapshot
3.1Total Addressable Market
3.2Segmented Addressable Market
3.2.1PEST Analysis
3.2.2Porter’s Five Force Analysis
3.23Related Markets

Chapter Four: Market Characteristics
4.1Market Ecosystem
4.2Market Segmentation
4.3Market Dynamics
4.3.1Drivers
4.3.1.1Need for monitoring footfall traffic data
4.3.1.2XXXX
4.3.2Restraints
4.3.2.1Lack of essential infrastructure
4.3.2.2XXXX
4.3.3Opportunities
4.3.3.1Integration of predictive analytics
4.3.3.2XXXX
4.3.4DRO – Impact Analysis

Chapter Five: Global In-store Analytics Market, By Mode of Deployment
5.1Overview
5.2On-premise
5.3Cloud-based

……

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