| Product Code: ETC4398446 | Publication Date: Jul 2023 | Updated Date: Sep 2025 | Product Type: Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 |
The Thailand in-store analytics market is a burgeoning sector that leverages data analytics to enhance the in-store shopping experience. Retailers in Thailand are increasingly utilizing this technology to gather insights on customer behavior, optimize store layouts, and improve product placements, ultimately leading to higher customer satisfaction and increased sales.
The Thailand In-store Analytics market is witnessing significant growth, driven by the adoption of analytics solutions in retail environments to understand customer behavior, optimize store layouts, and enhance overall shopping experiences. In-store Analytics solutions analyze data from various sources, including foot traffic, dwell times, and purchase patterns, providing insights for personalized marketing and operational efficiency. The market growth is propelled by the increasing need for retailers to stay competitive in the digital age, the desire for data-driven decision-making in merchandising, and the recognition of In-store Analytics as a key technology for improving customer satisfaction. As Thailand retail sector embraces digital transformation, the In-store Analytics market is poised to be a crucial enabler of data-driven and customer-centric retail strategies.
Challenges in the Thailand In-store Analytics Market include ensuring customer consent for data collection and addressing privacy concerns in retail environments. Balancing personalized shopping experiences with respect for customer privacy is crucial. Overcoming resistance from both retailers and customers regarding data collection practices adds complexity to this market.
The In-store Analytics market in Thailand experienced notable growth during the COVID-19 pandemic, as retailers leveraged analytics solutions to optimize in-store experiences, enhance customer engagement, and improve operational efficiency. With the increased focus on understanding shopper behavior, the demand for in-store analytics solutions surged. The market responded by offering tools that use data from in-store sensors, cameras, and other sources to provide insights into customer preferences, foot traffic, and product interactions. In the era of data-driven retail, the In-store Analytics market in Thailand continues to be a critical component, helping retailers create personalized and seamless in-store experiences.
In the retail landscape of Thailand, AIS and True Corporation are pivotal players in the In-store Analytics market. These companies provide in-store analytics solutions that leverage technologies such as sensors and cameras to analyze customer behavior within physical retail spaces. By tracking foot traffic, customer engagement, and purchase patterns, these solutions empower retailers in Thailand to optimize store layouts, enhance product placements, and improve overall customer experiences.
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Thailand In-store Analytics Market Overview |
3.1 Thailand Country Macro Economic Indicators |
3.2 Thailand In-store Analytics Market Revenues & Volume, 2021 & 2031F |
3.3 Thailand In-store Analytics Market - Industry Life Cycle |
3.4 Thailand In-store Analytics Market - Porter's Five Forces |
3.5 Thailand In-store Analytics Market Revenues & Volume Share, By Application , 2021 & 2031F |
3.6 Thailand In-store Analytics Market Revenues & Volume Share, By Components, 2021 & 2031F |
3.7 Thailand In-store Analytics Market Revenues & Volume Share, By Deployment, 2021 & 2031F |
3.8 Thailand In-store Analytics Market Revenues & Volume Share, By Organization Size, 2021 & 2031F |
4 Thailand In-store Analytics Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of data-driven decision-making in retail industry |
4.2.2 Demand for improving customer experience and engagement in-store |
4.2.3 Technological advancements in analytics tools and solutions |
4.3 Market Restraints |
4.3.1 High initial investment required for implementing in-store analytics solutions |
4.3.2 Concerns regarding data privacy and security |
4.3.3 Lack of skilled professionals in data analytics field |
5 Thailand In-store Analytics Market Trends |
6 Thailand In-store Analytics Market, By Types |
6.1 Thailand In-store Analytics Market, By Application |
6.1.1 Overview and Analysis |
6.1.2 Thailand In-store Analytics Market Revenues & Volume, By Application , 2021-2031F |
6.1.3 Thailand In-store Analytics Market Revenues & Volume, By Customer Management, 2021-2031F |
6.1.4 Thailand In-store Analytics Market Revenues & Volume, By Marketing Management, 2021-2031F |
6.1.5 Thailand In-store Analytics Market Revenues & Volume, By Merchandising Analysis, 2021-2031F |
6.1.6 Thailand In-store Analytics Market Revenues & Volume, By Store Operations Management, 2021-2031F |
6.1.7 Thailand In-store Analytics Market Revenues & Volume, By Risk and Compliance Management, 2021-2031F |
6.1.8 Thailand In-store Analytics Market Revenues & Volume, By Others, 2021-2031F |
6.2 Thailand In-store Analytics Market, By Components |
6.2.1 Overview and Analysis |
6.2.2 Thailand In-store Analytics Market Revenues & Volume, By Software, 2021-2031F |
6.2.3 Thailand In-store Analytics Market Revenues & Volume, By Services, 2021-2031F |
6.3 Thailand In-store Analytics Market, By Deployment |
6.3.1 Overview and Analysis |
6.3.2 Thailand In-store Analytics Market Revenues & Volume, By On-premises, 2021-2031F |
6.3.3 Thailand In-store Analytics Market Revenues & Volume, By Cloud, 2021-2031F |
6.4 Thailand In-store Analytics Market, By Organization Size |
6.4.1 Overview and Analysis |
6.4.2 Thailand In-store Analytics Market Revenues & Volume, By SMEs, 2021-2031F |
6.4.3 Thailand In-store Analytics Market Revenues & Volume, By Large Enterprises, 2021-2031F |
7 Thailand In-store Analytics Market Import-Export Trade Statistics |
7.1 Thailand In-store Analytics Market Export to Major Countries |
7.2 Thailand In-store Analytics Market Imports from Major Countries |
8 Thailand In-store Analytics Market Key Performance Indicators |
8.1 Customer footfall conversion rate |
8.2 Average customer dwell time in-store |
8.3 Percentage increase in average transaction value |
8.4 Rate of adoption of in-store analytics solutions |
8.5 Improvement in customer satisfaction scores |
9 Thailand In-store Analytics Market - Opportunity Assessment |
9.1 Thailand In-store Analytics Market Opportunity Assessment, By Application , 2021 & 2031F |
9.2 Thailand In-store Analytics Market Opportunity Assessment, By Components, 2021 & 2031F |
9.3 Thailand In-store Analytics Market Opportunity Assessment, By Deployment, 2021 & 2031F |
9.4 Thailand In-store Analytics Market Opportunity Assessment, By Organization Size, 2021 & 2031F |
10 Thailand In-store Analytics Market - Competitive Landscape |
10.1 Thailand In-store Analytics Market Revenue Share, By Companies, 2024 |
10.2 Thailand In-store Analytics Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
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