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 from The Business Research Company 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 size has grown exponentially in recent years. It will grow from $4.71 billion in 2024 to $6.02 billion in 2025 at a compound annual growth rate (CAGR) of 27.8%. The growth in the historic period can be attributed to enhanced customer experience, operational efficiency, real-time decision-making, competitive advantage, and marketing effectiveness.
The in-store analytics market size is expected to see exponential growth in the next few years. It will grow to $15.97 billion in 2029 at a compound annual growth rate (CAGR) of 27.6%. The growth in the forecast period can be attributed to driving demand for analytics solutions, focus on real-time insights, the popularity of retail analytics as a service, demand for retail automation, personalization, and targeted marketing. Major trends in the forecast period include augmented reality (AR) and virtual reality (VR) integration, cloud-based analytics solutions, integration with loyalty programs, 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).
North America was the largest region in the in-store analytics market in 2024. 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.
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.
In-Store Analytics Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on in-store analytics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Where is the largest and fastest growing market for in-store analytics ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The in-store analytics market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:
The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:1) By Component: Software; Services
2) By Deployment Mode: On-Premise; Cloud
3) By Enterprise Size: Large Enterprise; Small And Medium-Sized Enterprise
4) By Application: Customer Management; Marketing Management; Merchandising Analysis; Store Operations Management; Risk And Compliance Management; Other Applications
Subsegments:
1) By Software: Cloud-Based Software; On-Premise Software
2) By Services: Consulting; Integration And Deployment; Support And Maintenance
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery format: PDF, Word and Excel Data Dashboard.
Table of Contents
1. Executive Summary
2. In-Store Analytics Market Characteristics
3. In-Store Analytics Market Trends And Strategies
4. In-Store Analytics Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market
5. Global In-Store Analytics Growth Analysis And Strategic Analysis Framework
5.1. Global In-Store Analytics PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
5.2. Analysis Of End Use Industries
5.3. Global In-Store Analytics Market Growth Rate Analysis
5.4. Global In-Store Analytics Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
5.5. Global In-Store Analytics Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
5.6. Global In-Store Analytics Total Addressable Market (TAM)
6. In-Store Analytics Market Segmentation
6.1. Global In-Store Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Software
Services
6.2. Global In-Store Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
On-Premise
Cloud
6.3. Global In-Store Analytics Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Large Enterprise
Small And Medium-Sized Enterprise
6.4. Global In-Store Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Customer Management
Marketing Management
Merchandising Analysis
Store Operations Management
Risk And Compliance Management
Other Applications
6.5. Global In-Store Analytics Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Cloud-Based Software
On-Premise Software
6.6. Global In-Store Analytics Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Consulting
Integration And Deployment
Support And Maintenance
7. In-Store Analytics Market Regional And Country Analysis
7.1. Global In-Store Analytics Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
7.2. Global In-Store Analytics Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion