In-Store Analytics Market Report 2024

The in-store analytics market size has grown exponentially in recent years. It will grow from $3.69 billion in 2023 to $4.71 billion in 2024 at a compound annual growth rate (CAGR) of 27.6%. The growth during the historic period can be attributed to several factors such as improved customer experience, increased operational efficiency, the ability for real-time decision-making, gaining a competitive edge, and enhanced marketing effectiveness.

The in-store analytics market size is expected to see exponential growth in the next few years. It will grow to $12.52 billion in 2028 at a compound annual growth rate (CAGR) of 27.7%. The projected growth during the forecast period can be attributed to several factors, rising demand for analytics solutions, a focus on real-time insights, the growing popularity of retail analytics as a service, increasing demand for retail automation, and the push for personalization and targeted marketing. Key trends expected to shape this period include the integration of augmented reality (AR) and virtual reality (VR), the adoption of cloud-based analytics solutions, alignment with loyalty programs, enhanced supply chain visibility, and sustainability initiatives.

The high penetration of the internet is expected to drive growth in the in-store analytics market. Increased internet adoption is fueled by greater affordability, better connectivity, and a rising demand for digital services. The internet enhances in-store analytics by facilitating real-time data collection and analysis, which improves customer insights and streamlines store operations. For example, Statistics Canada reported in July 2023 that internet usage among Canadians aged 15 and older reached 95% in 2022, up from 92% in 2020. Notably, internet use among Canadians aged 75 and older increased from 62% in 2020 to 72% in 2022. This high level of internet penetration is contributing to the growth of the in-store analytics market.

Key players in the in-store analytics market are focusing on advanced solutions, such as near-real-time data, to enhance product listings and titles. Near-real-time data involves updating and processing information almost immediately after it is collected. For instance, in July 2023, Amazon.com Inc., a US-based e-commerce company, introduced rapid retail analytics that provides vendors and sellers with near-real-time access to essential retail metrics such as sales, traffic, and inventory data. This service delivers updates within minutes after each hour's end, enabling businesses to make faster and more informed decisions. Data is available at the ASIN (Amazon Standard Identification Number) level, allowing advertisers to evaluate performance on a product-specific basis and make precise optimizations.

In March 2024, Daasity, a US-based software company, acquired Red Fox Analytics for an undisclosed amount. This acquisition is intended to boost Daasity’s data analytics and customer insights capabilities, potentially broadening its market presence and enhancing its software offerings. Red Fox Analytics, based in the US, specializes in data analytics for consumer packaged goods (CPG).

Major companies operating in the in-store analytics market are Oracle Corporation, Jabil Inc., Tredence Inc., Vonage Holdings Corp., Happiest Minds Technologies Limited, ThoughtSpot Inc., ShopperTrak RCT Corporation, RetailNext Inc., Raydiant Inc., Intellicus Technologies Private Limited, Brickstream Corporation, Cuebiq Inc., Bedrock Data Inc., Retalon Inc., GeoIQ.io, Fountain9 Inc., VentureRadar Ltd., Innodatatics Inc., Euclid Inc., Wasteless Inc., Radius Networks Inc., Yodlee Inc., Synodus Corporation.

North America was the largest region in the in-store analytics market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the in-store analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the in-store analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

In-store analytics involves using data analytics techniques and tools to understand and improve various aspects of retail operations within physical stores. This process includes collecting, analyzing, and interpreting data generated in the store to gain insights into customer behavior, operational efficiency, and sales performance.

The main components of in-store analytics include software and services. In-store analytics software is technology designed to collect and analyze data on customer behavior and store operations to enhance retail performance and shopper experiences. This software can be deployed either on-premise or in the cloud and is utilized by various types of enterprises, including large organizations and small to medium-sized businesses. Key applications of in-store analytics encompass customer management, marketing management, merchandising analysis, store operations management, risk and compliance management, and other areas.

The in-store analytics market research report is one of a series of new reports that provides in-store analytics market statistics, including the in-store analytics industry's global market size, regional shares, competitors with an in-store analytics market share, detailed in-store analytics market segments, market trends and opportunities, and any further data you may need to thrive in the in-store analytics industry. This in-store analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The in-store analytics market includes revenues earned by entities by providing services such as foot traffic analysis, dwell time analysis, conversion rates, heat mapping, and queue management. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.


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