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In-store Analytics Market
In-store Analytics Market Future Growth Opportunities In-store Analytics Market Research

Global In-store Analytics Market

The global in-store analytics market size will grow by USD 2.76 billion during 2019-2024. This market report provides a detailed analysis of the market by application (customer management, merchandising analysis, in-store operations, supply chain management, and strategy and planning) and geography (APAC, Europe, MEA, North America, and South America). Also, the report analyzes the market’s competitive landscape and offers information on several market vendors, including Inpixon, Mindtree Ltd., Oracle Corp., SAP SE, and TDK Corp.

The emergence of big data in the retail sector will be one of the critical in-store analytics market trends driving the growth of the market. Rising digitalization has increased the volume and variety of data generated by industries. Hence, retailers are increasingly adopting big data analytics solutions to process and analyze large data sets to gain actionable and strategic insights that can be utilized for effective customer engagement and tackling the rising competition in e-retail. The use of big data analytics will also allow retailers to plan marketing campaigns and store designs and offer sales and promotions to customers. As a result, market vendors are offering big data-enabled in-store analytics that can analyze customer behavior and preference across social media platforms. The integration of big data solutions with in-store analytics will also help retailers to store and analyze data content, such as videos and footfall counting statistics extracted from CCTV, PoS, and customer interaction with sales associates. The emergence of big data in the retail sector will be a major factor driving the growth of the market throughout the next five years.

The growing demand for customer behavior insights will also contribute to the growth of the in-store analytics market. The need for analyzing customer behavior is increasing among retailers for making data-driven decisions that will enable them to offer personalized customer experiences and increase customer loyalty. The customers’ need and requirements are evolving with increasing personal and family income and growing consumer credit, especially in emerging economies. Hence, retailers are adopting in-store analytics solutions to analyze changing consumer demographics and behavior. This will help retailers to make appropriate strategic marketing decisions, achieve efficient customer retention, and develop brand equity. These factors are expected to fuel the growth of the in-store analytics market at a CAGR of over 27% during the forecast period.

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Top In-store Analytics Companies Covered in this Market Research Report

The global in-store analytics market is fragmented. To help clients improve their market position, this report provides an analysis of the market’s competitive landscape and offers information on the products offered by various companies. Moreover, this in-store analytics market analysis report also includes information on the upcoming trends and challenges that will influence market growth. This will help companies create strategies to make most of the future growth opportunities.

The report offers a detailed analysis of several leading in-store analytics companies, including:

  • RetailNext
  • SAP
  • Thinkinside
  • Mindtree
  • Happiest Minds
  • Celect
  • Capillary Technologies
  • Scanalytics
  • Dor Technologies

Segmentation by product type: breakdown data from 2014 to 2019 in Section 2.3; and forecast to 2024

  • Consulting
  • Software

Segmentation by application: breakdown data from 2014 to 2019, in Section 2.4; and forecast to 2024

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

In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

Research objectives

  • To study and analyze the global In-store Analytics market size by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2024.
  • To understand the structure of In-store Analytics market by identifying its various subsegments.
  • Focuses on the key global In-store Analytics players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in the next few years.
  • To analyze the In-store Analytics with respect to individual growth trends, future prospects, and their contribution to the total market.
  • To share detailed information about the key factors influencing the growth of the market growth potential, opportunities, drivers, industry-specific challenges and risks.
  • To project the size of In-store Analytics submarkets, with respect to key regions along with their respective key countries.
  • To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
  • To strategically profile the key players and comprehensively analyze their growth strategies.

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