| Product Code: ETC5877523 | Publication Date: Nov 2023 | Updated Date: Aug 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 60 | No. of Figures: 30 | No. of Tables: 5 |
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 Bhutan Usage-Based Insurance Market Overview |
3.1 Bhutan Country Macro Economic Indicators |
3.2 Bhutan Usage-Based Insurance Market Revenues & Volume, 2021 & 2031F |
3.3 Bhutan Usage-Based Insurance Market - Industry Life Cycle |
3.4 Bhutan Usage-Based Insurance Market - Porter's Five Forces |
3.5 Bhutan Usage-Based Insurance Market Revenues & Volume Share, By Package, 2021 & 2031F |
3.6 Bhutan Usage-Based Insurance Market Revenues & Volume Share, By Technology, 2021 & 2031F |
3.7 Bhutan Usage-Based Insurance Market Revenues & Volume Share, By Vehicle Age, 2021 & 2031F |
4 Bhutan Usage-Based Insurance Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing awareness about the benefits of usage-based insurance in Bhutan |
4.2.2 Growing adoption of telematics technology in vehicles |
4.2.3 Government initiatives to promote safer driving practices and reduce road accidents |
4.3 Market Restraints |
4.3.1 High initial costs associated with installing telematics devices in vehicles |
4.3.2 Concerns about data privacy and security among consumers |
4.3.3 Limited availability of insurance products tailored for the Bhutanese market |
5 Bhutan Usage-Based Insurance Market Trends |
6 Bhutan Usage-Based Insurance Market Segmentations |
6.1 Bhutan Usage-Based Insurance Market, By Package |
6.1.1 Overview and Analysis |
6.1.2 Bhutan Usage-Based Insurance Market Revenues & Volume, By PAYD, 2021-2031F |
6.1.3 Bhutan Usage-Based Insurance Market Revenues & Volume, By PHYD, 2021-2031F |
6.1.4 Bhutan Usage-Based Insurance Market Revenues & Volume, By MHYD, 2021-2031F |
6.2 Bhutan Usage-Based Insurance Market, By Technology |
6.2.1 Overview and Analysis |
6.2.2 Bhutan Usage-Based Insurance Market Revenues & Volume, By OBD-II, 2021-2031F |
6.2.3 Bhutan Usage-Based Insurance Market Revenues & Volume, By Black box, 2021-2031F |
6.2.4 Bhutan Usage-Based Insurance Market Revenues & Volume, By Smartphone, 2021-2031F |
6.2.5 Bhutan Usage-Based Insurance Market Revenues & Volume, By Embedded, 2021-2031F |
6.3 Bhutan Usage-Based Insurance Market, By Vehicle Age |
6.3.1 Overview and Analysis |
6.3.2 Bhutan Usage-Based Insurance Market Revenues & Volume, By New, 2021-2031F |
6.3.3 Bhutan Usage-Based Insurance Market Revenues & Volume, By Old, 2021-2031F |
7 Bhutan Usage-Based Insurance Market Import-Export Trade Statistics |
7.1 Bhutan Usage-Based Insurance Market Export to Major Countries |
7.2 Bhutan Usage-Based Insurance Market Imports from Major Countries |
8 Bhutan Usage-Based Insurance Market Key Performance Indicators |
8.1 Number of new telematics devices installed in vehicles |
8.2 Percentage increase in policyholders opting for usage-based insurance |
8.3 Average reduction in driving-related accidents reported by policyholders |
8.4 Adoption rate of usage-based insurance compared to traditional insurance products |
8.5 Customer satisfaction scores related to usage-based insurance services |
9 Bhutan Usage-Based Insurance Market - Opportunity Assessment |
9.1 Bhutan Usage-Based Insurance Market Opportunity Assessment, By Package, 2021 & 2031F |
9.2 Bhutan Usage-Based Insurance Market Opportunity Assessment, By Technology, 2021 & 2031F |
9.3 Bhutan Usage-Based Insurance Market Opportunity Assessment, By Vehicle Age, 2021 & 2031F |
10 Bhutan Usage-Based Insurance Market - Competitive Landscape |
10.1 Bhutan Usage-Based Insurance Market Revenue Share, By Companies, 2024 |
10.2 Bhutan Usage-Based Insurance 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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