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Global In-store Analytics Market Research Report 2024

Global In-store Analytics Market Research Report 2024

Publishing Date : Jan, 2024

License Type :
 

Report Code : 1719914

No of Pages : 87

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Synopsis

In-store analytics refers to the systems and processes retailers use to measure what's happening within their stores and with their competitors. Common metrics include foot traffic, dwell time, and conversion rate (the percentage of visitors who make a purchase), among others.

The global In-store Analytics market was valued at US$ 1067.8 million in 2023 and is anticipated to reach US$ 3553 million by 2030, witnessing a CAGR of 18.2% during the forecast period 2024-2030.

North American market for In-store Analytics is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

Asia-Pacific market for In-store Analytics is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

The global market for In-store Analytics in Marketing Management is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

The major global companies of In-store Analytics include RetailNext, SAP, Thinkinside, Mindtree, Happiest Minds, Celect, Capillary Technologies, Scanalytics and Dor Technologies, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.

This report aims to provide a comprehensive presentation of the global market for In-store Analytics, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding In-store Analytics.

Report Scope

The In-store Analytics market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global In-store Analytics market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the In-store Analytics companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.

Market Segmentation

By Company

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

Segment by Type

  • Consulting
  • Software

Segment by Application

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

By Region

  • North America (United States, Canada)
  • Europe (Germany, France, U.K., Italy, Netherlands)
  • Asia-Pacific (China, Japan, South Korea, China Taiwan, Southeast Asia, India)
  • Latin America, Middle East & Africa (Latin America, Mexico, Brazil, Turkey)

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of In-store Analytics companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Index

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global In-store Analytics Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Consulting
1.2.3 Software
1.3 Market by Application
1.3.1 Global In-store Analytics Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Marketing Management
1.3.3 Customer Management
1.3.4 Merchandising Analysis
1.3.5 Store Operations Management
1.3.6 Risk and Compliance Management
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global In-store Analytics Market Perspective (2019-2030)
2.2 In-store Analytics Growth Trends by Region
2.2.1 Global In-store Analytics Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 In-store Analytics Historic Market Size by Region (2019-2024)
2.2.3 In-store Analytics Forecasted Market Size by Region (2025-2030)
2.3 In-store Analytics Market Dynamics
2.3.1 In-store Analytics Industry Trends
2.3.2 In-store Analytics Market Drivers
2.3.3 In-store Analytics Market Challenges
2.3.4 In-store Analytics Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top In-store Analytics Players by Revenue
3.1.1 Global Top In-store Analytics Players by Revenue (2019-2024)
3.1.2 Global In-store Analytics Revenue Market Share by Players (2019-2024)
3.2 Global In-store Analytics Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by In-store Analytics Revenue
3.4 Global In-store Analytics Market Concentration Ratio
3.4.1 Global In-store Analytics Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by In-store Analytics Revenue in 2023
3.5 In-store Analytics Key Players Head office and Area Served
3.6 Key Players In-store Analytics Product Solution and Service
3.7 Date of Enter into In-store Analytics Market
3.8 Mergers & Acquisitions, Expansion Plans
4 In-store Analytics Breakdown Data by Type
4.1 Global In-store Analytics Historic Market Size by Type (2019-2024)
4.2 Global In-store Analytics Forecasted Market Size by Type (2025-2030)
5 In-store Analytics Breakdown Data by Application
5.1 Global In-store Analytics Historic Market Size by Application (2019-2024)
5.2 Global In-store Analytics Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America In-store Analytics Market Size (2019-2030)
6.2 North America In-store Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America In-store Analytics Market Size by Country (2019-2024)
6.4 North America In-store Analytics Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe In-store Analytics Market Size (2019-2030)
7.2 Europe In-store Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe In-store Analytics Market Size by Country (2019-2024)
7.4 Europe In-store Analytics Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific In-store Analytics Market Size (2019-2030)
8.2 Asia-Pacific In-store Analytics Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific In-store Analytics Market Size by Region (2019-2024)
8.4 Asia-Pacific In-store Analytics Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America In-store Analytics Market Size (2019-2030)
9.2 Latin America In-store Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America In-store Analytics Market Size by Country (2019-2024)
9.4 Latin America In-store Analytics Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa In-store Analytics Market Size (2019-2030)
10.2 Middle East & Africa In-store Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa In-store Analytics Market Size by Country (2019-2024)
10.4 Middle East & Africa In-store Analytics Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 RetailNext
11.1.1 RetailNext Company Detail
11.1.2 RetailNext Business Overview
11.1.3 RetailNext In-store Analytics Introduction
11.1.4 RetailNext Revenue in In-store Analytics Business (2019-2024)
11.1.5 RetailNext Recent Development
11.2 SAP
11.2.1 SAP Company Detail
11.2.2 SAP Business Overview
11.2.3 SAP In-store Analytics Introduction
11.2.4 SAP Revenue in In-store Analytics Business (2019-2024)
11.2.5 SAP Recent Development
11.3 Thinkinside
11.3.1 Thinkinside Company Detail
11.3.2 Thinkinside Business Overview
11.3.3 Thinkinside In-store Analytics Introduction
11.3.4 Thinkinside Revenue in In-store Analytics Business (2019-2024)
11.3.5 Thinkinside Recent Development
11.4 Mindtree
11.4.1 Mindtree Company Detail
11.4.2 Mindtree Business Overview
11.4.3 Mindtree In-store Analytics Introduction
11.4.4 Mindtree Revenue in In-store Analytics Business (2019-2024)
11.4.5 Mindtree Recent Development
11.5 Happiest Minds
11.5.1 Happiest Minds Company Detail
11.5.2 Happiest Minds Business Overview
11.5.3 Happiest Minds In-store Analytics Introduction
11.5.4 Happiest Minds Revenue in In-store Analytics Business (2019-2024)
11.5.5 Happiest Minds Recent Development
11.6 Celect
11.6.1 Celect Company Detail
11.6.2 Celect Business Overview
11.6.3 Celect In-store Analytics Introduction
11.6.4 Celect Revenue in In-store Analytics Business (2019-2024)
11.6.5 Celect Recent Development
11.7 Capillary Technologies
11.7.1 Capillary Technologies Company Detail
11.7.2 Capillary Technologies Business Overview
11.7.3 Capillary Technologies In-store Analytics Introduction
11.7.4 Capillary Technologies Revenue in In-store Analytics Business (2019-2024)
11.7.5 Capillary Technologies Recent Development
11.8 Scanalytics
11.8.1 Scanalytics Company Detail
11.8.2 Scanalytics Business Overview
11.8.3 Scanalytics In-store Analytics Introduction
11.8.4 Scanalytics Revenue in In-store Analytics Business (2019-2024)
11.8.5 Scanalytics Recent Development
11.9 Dor Technologies
11.9.1 Dor Technologies Company Detail
11.9.2 Dor Technologies Business Overview
11.9.3 Dor Technologies In-store Analytics Introduction
11.9.4 Dor Technologies Revenue in In-store Analytics Business (2019-2024)
11.9.5 Dor Technologies Recent Development
11.10 Raydiant
11.10.1 Raydiant Company Detail
11.10.2 Raydiant Business Overview
11.10.3 Raydiant In-store Analytics Introduction
11.10.4 Raydiant Revenue in In-store Analytics Business (2019-2024)
11.10.5 Raydiant Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Published By : QY Research

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