| Product Code: ETC8871888 | Publication Date: Sep 2024 | Updated Date: Sep 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Summon Dutta | 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 Poland Real Estate Software Market Overview |
3.1 Poland Country Macro Economic Indicators |
3.2 Poland Real Estate Software Market Revenues & Volume, 2021 & 2031F |
3.3 Poland Real Estate Software Market - Industry Life Cycle |
3.4 Poland Real Estate Software Market - Porter's Five Forces |
3.5 Poland Real Estate Software Market Revenues & Volume Share, By Product, 2021 & 2031F |
3.6 Poland Real Estate Software Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 Poland Real Estate Software Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for automation and digitization in the real estate industry |
4.2.2 Growing trend of smart buildings and smart cities in Poland |
4.2.3 Rising adoption of cloud-based solutions in the real estate sector |
4.3 Market Restraints |
4.3.1 High initial implementation costs for real estate software |
4.3.2 Concerns regarding data security and privacy in the real estate industry |
4.3.3 Resistance to change and traditional practices in the market |
5 Poland Real Estate Software Market Trends |
6 Poland Real Estate Software Market, By Types |
6.1 Poland Real Estate Software Market, By Product |
6.1.1 Overview and Analysis |
6.1.2 Poland Real Estate Software Market Revenues & Volume, By Product, 2021- 2031F |
6.1.3 Poland Real Estate Software Market Revenues & Volume, By Enterprise Resource Planning(ERP), 2021- 2031F |
6.1.4 Poland Real Estate Software Market Revenues & Volume, By Property Management System(PMS), 2021- 2031F |
6.1.5 Poland Real Estate Software Market Revenues & Volume, By Customer Relationship Management (CRM), 2021- 2031F |
6.1.6 Poland Real Estate Software Market Revenues & Volume, By Others, 2021- 2031F |
6.2 Poland Real Estate Software Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 Poland Real Estate Software Market Revenues & Volume, By Small Enterprises, 2021- 2031F |
6.2.3 Poland Real Estate Software Market Revenues & Volume, By Medium Enterprises, 2021- 2031F |
6.2.4 Poland Real Estate Software Market Revenues & Volume, By Large Enterprises, 2021- 2031F |
7 Poland Real Estate Software Market Import-Export Trade Statistics |
7.1 Poland Real Estate Software Market Export to Major Countries |
7.2 Poland Real Estate Software Market Imports from Major Countries |
8 Poland Real Estate Software Market Key Performance Indicators |
8.1 Percentage increase in the number of real estate transactions managed through software |
8.2 Average time reduction in property listing and sales processes with software implementation |
8.3 Growth in the number of real estate companies offering online property management solutions |
8.4 Rate of adoption of mobile applications for real estate transactions |
8.5 Improvement in customer satisfaction scores related to property management software usage |
9 Poland Real Estate Software Market - Opportunity Assessment |
9.1 Poland Real Estate Software Market Opportunity Assessment, By Product, 2021 & 2031F |
9.2 Poland Real Estate Software Market Opportunity Assessment, By Application, 2021 & 2031F |
10 Poland Real Estate Software Market - Competitive Landscape |
10.1 Poland Real Estate Software Market Revenue Share, By Companies, 2024 |
10.2 Poland Real Estate Software 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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