The global in-store analytics market growth is rapidly escalating sand is projected to gain an estimated market size worth USD 5,784.6 million clocking at a CAGR of 23.5% throughout the projected timeframe, 2021-2028. With soaring acceptance and adoption of eCommerce or digital retail, there is an increasing amount of data volume generated and stored within in-store operations driving the demand for data analytics in all retail operations particularly in-store operations. In addition, to eliminate stern competition from the brick-and-mortar participants, eCommerce retailers have spurred the need for improved customer services to escalate shopping experience among the users. These developments support market expansion for in-store analytics market. With rapidly digitizing retail models, the complexity of the industry has accelerated the need for analytics solutions to streamline and provide hassle-free execution of retail operations. Need for frequent software updates associated with in-store analytics and significant skill gaps along with general aversion to high-tech solution integration are likely to remain potent growth retardants in global in-store analytics market in the projected timeline. However, global in-store analytics market is likely to experience several opportunities backed by automated analytics integration. Features such as instant messaging strategies for improving cross-selling activities, besides adopting AI-based in-store analytics are poised to be rampant growth opportunities for the global in-store analytics market in the coming years.

In-store analytics falls under the umbrella of retail analytics. While retail analytics serves a much broader purpose, in-store analytics has a highly-specific objective of assessing and acquiring data associated with customer traffic. In-store solutions focus on obtaining data about the behaviour of customers during their visit to the store. In-store analytics effectively enhances the store performance by understanding customer preferences or interests catering to their specific needs ultimately increasing the sales. This achieves a better understanding of product placement as retailers can successfully avoid unnecessary product display with less sale probabilities. In-store analytics market growth is accelerated as the solutions can help direct productive and fruitful in-store footfall along with increased traction. Adding to that, retailers can effectively apply the in-store operational solutions to design customized experience by offering personalized coupons. The global in-store analytics market players are strongly positioned alongside the young market entrants proposing modernized models and concepts making the traditional methods of in-store operations management obsolete. The advent of increasing number of young market entrants accompanied with rapidly evolving in-store analytics market space has resulted in the global market consolidation.

The major players of the global in-store analytics market are Thinkinside, RetailNext, Mindtree, SAS, Capillary Technologies, SEMSEYE, Inpixon, Sisense Inc., Capgemini, Celect, IBM, SAP, SAS and Happiest Minds. The global in-store analytics market showcases a balance of local as well as international players competing to benchmark service market. The key players of the market compete aggressively based on the unique range of products & services offered gaining a competitive advantage along with other factors such as locations and geographic footprint, product differentiation and product quality. The robust competitive landscape has players adopting growth strategies expanding their product portfolio.

Key Segments of the Global In-Store Analytics Market

Solution Overview, 2021-2028 (USD Million)

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

Enterprise Size Overview, 2021-2028 (USD Million)

• Large Enterprises
• Small and Medium Sized Enterprises

Deployment Model, 2021-2028 (USD Million)

• Cloud-Based
• On-Premises

Regional Overview, 2021-2028 (USD Million)

North America

• U.S
• Canada

APAC

• Japan
• India
• China
• South Korea
• Southeast Asia
• Rest of Asia Pacific

Europe

• UK
• France
• Germany
• Italy
• Rest of Europe

Latin America

• Brazil
• Mexico
• Rest of Latin America

Middle East & Africa

Reasons for the study

• Major objective of the study is to conduct and deliver a comprehensive outlook of the global in-store analytics market providing key research findings offering the clientele an edge over the rest of the market.
• To ensure that readers are provided with accurate and the latest data to remain competitive amidst the key innovations driven by the competitive players of the market to enhance future growth prospects.

What does the report include?

• The report on the global in-store analytics market covers an array of integral aspects and fundamental dynamics including the market drivers, restrains, trends, opportunities and challenges
• The study observes and portrays the competitive landscape of the in-store analytics market consisting of the well-established existing players alongside the potential prospective players.
• The study delivers a market segmentation and positioning applied with qualitative as well as quantitative analysis of the categories including type, enterprise size, deployment, and regional survey.
• Evidentially backed market size estimations are incorporated aligned with each segment mentioned above.

Who should buy this report?

• The market study on the global in-store analytics market provides conclusive research deliverables catering to the needs of all players across the retail industry associated with operational activities
• Store managers, service providers as well as large retail entities striving to stay updated of the recent industry activities, events, trends, and customer needs
• Business players, investors or capitalists planning on exploring the global retail sector looking for valuable insights and additional information of the in-store analytics market’s future outlook.