| Product Code: ETC7146464 | Publication Date: Sep 2024 | Updated Date: Aug 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Sumit Sagar | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
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 Ethiopia AI-based Fever Detection Camera Market Overview |
3.1 Ethiopia Country Macro Economic Indicators |
3.2 Ethiopia AI-based Fever Detection Camera Market Revenues & Volume, 2021 & 2031F |
3.3 Ethiopia AI-based Fever Detection Camera Market - Industry Life Cycle |
3.4 Ethiopia AI-based Fever Detection Camera Market - Porter's Five Forces |
3.5 Ethiopia AI-based Fever Detection Camera Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 Ethiopia AI-based Fever Detection Camera Market Revenues & Volume Share, By End User, 2021 & 2031F |
4 Ethiopia AI-based Fever Detection Camera Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing awareness about the importance of early fever detection in public places |
4.2.2 Growing demand for non-invasive and contactless temperature screening solutions |
4.2.3 Government initiatives to implement advanced technologies for public health and safety |
4.3 Market Restraints |
4.3.1 High initial investment required for implementing AI-based fever detection camera systems |
4.3.2 Concerns regarding data privacy and security with the use of AI technologies in public spaces |
5 Ethiopia AI-based Fever Detection Camera Market Trends |
6 Ethiopia AI-based Fever Detection Camera Market, By Types |
6.1 Ethiopia AI-based Fever Detection Camera Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 Ethiopia AI-based Fever Detection Camera Market Revenues & Volume, By Type, 2021- 2031F |
6.1.3 Ethiopia AI-based Fever Detection Camera Market Revenues & Volume, By Turret/Bullet Cameras, 2021- 2031F |
6.1.4 Ethiopia AI-based Fever Detection Camera Market Revenues & Volume, By Handheld Cameras, 2021- 2031F |
6.2 Ethiopia AI-based Fever Detection Camera Market, By End User |
6.2.1 Overview and Analysis |
6.2.2 Ethiopia AI-based Fever Detection Camera Market Revenues & Volume, By Airports, 2021- 2031F |
6.2.3 Ethiopia AI-based Fever Detection Camera Market Revenues & Volume, By Hospitals, 2021- 2031F |
6.2.4 Ethiopia AI-based Fever Detection Camera Market Revenues & Volume, By Public Places, 2021- 2031F |
6.2.5 Ethiopia AI-based Fever Detection Camera Market Revenues & Volume, By Enterprises/Factories, 2021- 2031F |
6.2.6 Ethiopia AI-based Fever Detection Camera Market Revenues & Volume, By Banks, 2021- 2031F |
6.2.7 Ethiopia AI-based Fever Detection Camera Market Revenues & Volume, By Others, 2021- 2031F |
7 Ethiopia AI-based Fever Detection Camera Market Import-Export Trade Statistics |
7.1 Ethiopia AI-based Fever Detection Camera Market Export to Major Countries |
7.2 Ethiopia AI-based Fever Detection Camera Market Imports from Major Countries |
8 Ethiopia AI-based Fever Detection Camera Market Key Performance Indicators |
8.1 Percentage increase in the adoption of AI-based fever detection cameras in public places |
8.2 Average response time for fever detection using AI-based cameras |
8.3 Rate of false alarms generated by the AI-based fever detection cameras |
9 Ethiopia AI-based Fever Detection Camera Market - Opportunity Assessment |
9.1 Ethiopia AI-based Fever Detection Camera Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 Ethiopia AI-based Fever Detection Camera Market Opportunity Assessment, By End User, 2021 & 2031F |
10 Ethiopia AI-based Fever Detection Camera Market - Competitive Landscape |
10.1 Ethiopia AI-based Fever Detection Camera Market Revenue Share, By Companies, 2024 |
10.2 Ethiopia AI-based Fever Detection Camera 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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