In-Store Analytics Market

In-Store Analytics Market : Global Industry Analysis 2016 - 2020 and Opportunity Assessment 2021 - 2031

Market Overview

In-Store Analytics market is projected to record more than 25% growth rate during the forecast period and expected to reach US$ 5 Bn by 2031. In-store analytics is a process of analyzing and pulling meaningful insights from customers' behavioral data.

Analytics plays very crucial role in every stages of retail businesses, from sales and marketing to inventory management and operations.  In order to compete with online stores, retailers need as much information about their customers as they can get. In-store analytics can give detailed insights about the effectiveness of store displays, employee actions, and other factors that can be used to sway purchasing decisions.

What is Driving Demand for In-Store Analytics?

Over the past decade, the retail industry has changed significantly and keep evolving further by adopting new cutting edge technologies. Retailers are working harder to deliver a seamless shopping experience to their customers. Retailers endeavor to integrate innovative digital experiences to ensure a connected and engaging in-store experience.

Digital transformation in stores is achieved when retailers deliver tailored experiences to their customers with the help of multiple technologies like analyzing customer preferences, detecting customer location in-store, personalized promotions, and purchasing patterns. Store monitoring platform analyzes these patterns and generate meaningful insights and help retailers to achieve sales, revenue and increase store footfalls.

  • For instance, Mediamarkt opened its Digital Store in Barcelona, based on the interaction with its customers. It combines the digital experience in a physical store where customers select the product digitally and the store staff provides the support.
  • Moreover, Nike’s new flagship store in New York, utilizes an app that creates digitally connected journeys for consumers to utilize mobile checkout, request try-on items throughout the store, or instantly shop in-store displays.

Proliferation of IoT Sensors & RFID Tags for In-store Intelligence

Over the past few years, there has been a steady evolution in the types of sensors. Sensors are used to monitor weight, vibrations, temperature, and other factors. When it comes to retail, Radio-Frequency Identification (RFID) sensors plays a very crucial role.

RFID tags contain a microchip, reader, and antenna to transmit and receive data. These tags contain electronically-stored information that provides detailed product information, marketing, and cross-selling suggestions to retailers along with the insights regards to the customer preferences and shopping patterns.

According to a report by McKinsey, inventory management problems account for some of the biggest expenditures and losses in retail stores. The report states that inventory distortion including overstock, stockouts, and shrinkage, cost retailers a yearly $1.1 trillion, worldwide. RFID tags allow stores to track their inventory.

These tags enable retailers to track items that are moved within stores, and also enable retailers to track items throughout the entire supply chain, from the warehouse to the shelf in store. Moreover, technologies like store shelf sensors, digital price tags, smart displays and high-resolution cameras also help retailers to further enhance the control of goods located at store shelves and in the back storage.

US Demand Outlook for In-Store Analytics

U.S. is the most significant revenue contributor to the global in-store analytics market. The country is witnessing significant developments in the in-store analytics market. In U.S., the high growth rate can be attributed to the increasing adoption of big data, the large base of in-store analytics vendors in the region, and the rising adoption of IoT devices.

Companies across the region are rapidly adopting the IoT for creating and developing new array of products and services, which are prompting development of new business models and creating new business opportunities. Businesses utilize full potential of the connected device enablement by combining with rapidly advancing Artificial Intelligence (AI) technologies, which enables store retailers to respond intelligently and aid in making informed decisions.

India Demand Outlook for In-Store Analytics

Indian retail industry is one of the fastest growing in the world. Retailers in India have started harnessing the power of the data that is generated from every single transaction that are placed at stores, e-commerce sites or mobile applications. And tend to create extremely personalized offers based on buying patterns.

In perspective to retail industry, India has ranked 73 in the United Nations Conference on Trade and Development's Business-to-Consumer (B2C) E-commerce Index 2019. Moreover, in terms of retail store availability, the country is among the highest in the world. The retail sector in India is experiencing exponential growth with retail development taking place not just in major cities and metros, but also in tier II and III cities.

Healthy economic growth, changing demographic profile, increasing disposable income, urbanization, changing consumer tastes and preferences are some of the key factors driving growth retail industry in India.

Who are the Key In-Store Analytics Vendors?

Some of the leading vendors offering In-Store analytics products include  

  • RetailNext
  • Mindtree
  • Thinkinsde
  • Happiest Minds
  • SAP
  • Capillary Technologies
  • Inpixon
  • Scanalytics
  • Retail Solutions
  • Dor Technologies, and among others.

These vendors have adopted various key strategies, to increase their customer base locally and globally. The vendors are focusing on product innovation and strategic partnerships with the regional vendors to collaborate for offering advanced data connotation tools to effectively design AI/ML based models.

The report is a compilation of first-hand information, qualitative and quantitative assessment by industry analysts, inputs from industry experts and industry participants across the value chain. The report provides in-depth analysis of parent market trends, macro-economic indicators and governing factors along with market attractiveness as per segments. The report also maps the qualitative impact of various market factors on market segments and geographies.

In-Store Analytics Report Highlights:

  • Detailed overview of parent market
  • Changing market dynamics in the industry
  • In-depth market segmentation
  • Historical, current and projected market size in terms of volume and value
  • Recent industry trends and developments
  • Competitive landscape
  • Strategies of key players and products offered
  • Potential and niche segments, geographical regions exhibiting promising growth
  • A neutral perspective on market performance
  • Must-have information for market players to sustain and enhance their market footprint

Key Segments

By Solution:

  • In-Store Analytics Software
    • Cloud-Based
    • On-Premises
  • Services
    • Professional Services
      • Consulting Services
      • Support and Maintenance Services
    • Managed Services

By Application:

  • Customer Management
  • Marketing Management
  • Merchandising Analysis
  • Store Operations Management
  • Risk and Compliance Management
  • Others

By Industry:

  • Small and Mid-sized Enterprises (SMEs)
  • Large Enterprises

By Region:

  • North America
    • US
    • Canada
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Europe
    • UK
    • France
    • Germany
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • East Asia
    • China
    • Japan
    • South Korea
  • South Asia & Pacific
    • India
    • Thailand
    • Indonesia
    • Malaysia
    • Australia & New Zealand
    • Rest of South Asia & Pacific
  • Middle East & Africa
    • GCC Countries
    • Turkey
    • South Africa
    • Rest of Middle East and Africa

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In-Store Analytics Market