| Product Code: ETC9211317 | Publication Date: Sep 2024 | Updated Date: Feb 2026 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Vasudha | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
In 2023-2024, Serbia`s import trend for intelligent occupancy sensors experienced a decline of -39.9%, while the compound annual growth rate (CAGR) for 2020-2024 stood at 10.13%. This decline in imports can be attributed to changing consumer preferences or shifts in market demand.

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 Serbia Intelligent Occupancy Sensor Market Overview |
3.1 Serbia Country Macro Economic Indicators |
3.2 Serbia Intelligent Occupancy Sensor Market Revenues & Volume, 2022 & 2032F |
3.3 Serbia Intelligent Occupancy Sensor Market - Industry Life Cycle |
3.4 Serbia Intelligent Occupancy Sensor Market - Porter's Five Forces |
3.5 Serbia Intelligent Occupancy Sensor Market Revenues & Volume Share, By Operation, 2022 & 2032F |
3.6 Serbia Intelligent Occupancy Sensor Market Revenues & Volume Share, By Coverage Area, 2022 & 2032F |
3.7 Serbia Intelligent Occupancy Sensor Market Revenues & Volume Share, By Application, 2022 & 2032F |
3.8 Serbia Intelligent Occupancy Sensor Market Revenues & Volume Share, By Building Type, 2022 & 2032F |
3.9 Serbia Intelligent Occupancy Sensor Market Revenues & Volume Share, By Network Connectivity, 2022 & 2032F |
4 Serbia Intelligent Occupancy Sensor Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing focus on energy efficiency and sustainability in buildings in Serbia |
4.2.2 Government initiatives promoting the adoption of smart building technologies |
4.2.3 Growing awareness about the benefits of intelligent occupancy sensors in optimizing space utilization and reducing energy consumption |
4.3 Market Restraints |
4.3.1 High initial investment costs associated with implementing intelligent occupancy sensor systems |
4.3.2 Concerns regarding data privacy and security in relation to occupancy data collected by sensors |
4.3.3 Lack of skilled professionals for the installation and maintenance of intelligent occupancy sensor systems |
5 Serbia Intelligent Occupancy Sensor Market Trends |
6 Serbia Intelligent Occupancy Sensor Market, By Types |
6.1 Serbia Intelligent Occupancy Sensor Market, By Operation |
6.1.1 Overview and Analysis |
6.1.2 Serbia Intelligent Occupancy Sensor Market Revenues & Volume, By Operation, 2022-2032F |
6.1.3 Serbia Intelligent Occupancy Sensor Market Revenues & Volume, By Indoor Operation, 2022-2032F |
6.1.4 Serbia Intelligent Occupancy Sensor Market Revenues & Volume, By Outdoor Operation, 2022-2032F |
6.2 Serbia Intelligent Occupancy Sensor Market, By Coverage Area |
6.2.1 Overview and Analysis |
6.2.2 Serbia Intelligent Occupancy Sensor Market Revenues & Volume, By Less Than 89, 2022-2032F |
6.2.3 Serbia Intelligent Occupancy Sensor Market Revenues & Volume, By 90179, 2022-2032F |
6.2.4 Serbia Intelligent Occupancy Sensor Market Revenues & Volume, By 180360, 2022-2032F |
6.3 Serbia Intelligent Occupancy Sensor Market, By Application |
6.3.1 Overview and Analysis |
6.3.2 Serbia Intelligent Occupancy Sensor Market Revenues & Volume, By Lighting Systems, 2022-2032F |
6.3.3 Serbia Intelligent Occupancy Sensor Market Revenues & Volume, By HVAC Systems, 2022-2032F |
6.3.4 Serbia Intelligent Occupancy Sensor Market Revenues & Volume, By Security and Surveillance Systems, 2022-2032F |
6.3.5 Serbia Intelligent Occupancy Sensor Market Revenues & Volume, By Others, 2022-2032F |
6.4 Serbia Intelligent Occupancy Sensor Market, By Building Type |
6.4.1 Overview and Analysis |
6.4.2 Serbia Intelligent Occupancy Sensor Market Revenues & Volume, By Residential Buildings, 2022-2032F |
6.4.3 Serbia Intelligent Occupancy Sensor Market Revenues & Volume, By Commercial Buildings, 2022-2032F |
6.5 Serbia Intelligent Occupancy Sensor Market, By Network Connectivity |
6.5.1 Overview and Analysis |
6.5.2 Serbia Intelligent Occupancy Sensor Market Revenues & Volume, By Wired Network, 2022-2032F |
6.5.3 Serbia Intelligent Occupancy Sensor Market Revenues & Volume, By Wireless Network, 2022-2032F |
7 Serbia Intelligent Occupancy Sensor Market Import-Export Trade Statistics |
7.1 Serbia Intelligent Occupancy Sensor Market Export to Major Countries |
7.2 Serbia Intelligent Occupancy Sensor Market Imports from Major Countries |
8 Serbia Intelligent Occupancy Sensor Market Key Performance Indicators |
8.1 Energy savings achieved through the implementation of intelligent occupancy sensors |
8.2 Percentage increase in the adoption rate of smart building technologies in Serbia |
8.3 Number of buildings retrofitted with intelligent occupancy sensor systems |
8.4 Average decrease in carbon footprint per building using occupancy sensors |
8.5 Percentage improvement in space utilization efficiency due to the deployment of occupancy sensors |
9 Serbia Intelligent Occupancy Sensor Market - Opportunity Assessment |
9.1 Serbia Intelligent Occupancy Sensor Market Opportunity Assessment, By Operation, 2022 & 2032F |
9.2 Serbia Intelligent Occupancy Sensor Market Opportunity Assessment, By Coverage Area, 2022 & 2032F |
9.3 Serbia Intelligent Occupancy Sensor Market Opportunity Assessment, By Application, 2022 & 2032F |
9.4 Serbia Intelligent Occupancy Sensor Market Opportunity Assessment, By Building Type, 2022 & 2032F |
9.5 Serbia Intelligent Occupancy Sensor Market Opportunity Assessment, By Network Connectivity, 2022 & 2032F |
10 Serbia Intelligent Occupancy Sensor Market - Competitive Landscape |
10.1 Serbia Intelligent Occupancy Sensor Market Revenue Share, By Companies, 2025 |
10.2 Serbia Intelligent Occupancy Sensor 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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