| Product Code: ETC8871266 | Publication Date: Sep 2024 | Updated Date: Sep 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Shubham Padhi | 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 Predictive and Prescriptive Analytics Market Overview |
3.1 Poland Country Macro Economic Indicators |
3.2 Poland Predictive and Prescriptive Analytics Market Revenues & Volume, 2021 & 2031F |
3.3 Poland Predictive and Prescriptive Analytics Market - Industry Life Cycle |
3.4 Poland Predictive and Prescriptive Analytics Market - Porter's Five Forces |
3.5 Poland Predictive and Prescriptive Analytics Market Revenues & Volume Share, By End-user Industry, 2021 & 2031F |
4 Poland Predictive and Prescriptive Analytics Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of advanced analytics solutions in various industries in Poland |
4.2.2 Rising demand for data-driven insights to enhance business decision-making processes |
4.2.3 Growing awareness about the benefits of predictive and prescriptive analytics in improving operational efficiency |
4.3 Market Restraints |
4.3.1 High initial investment required for implementing predictive and prescriptive analytics solutions |
4.3.2 Lack of skilled professionals in the field of data science and analytics in Poland |
4.3.3 Concerns regarding data security and privacy issues hindering widespread adoption of analytics solutions |
5 Poland Predictive and Prescriptive Analytics Market Trends |
6 Poland Predictive and Prescriptive Analytics Market, By Types |
6.1 Poland Predictive and Prescriptive Analytics Market, By End-user Industry |
6.1.1 Overview and Analysis |
6.1.2 Poland Predictive and Prescriptive Analytics Market Revenues & Volume, By End-user Industry, 2021- 2031F |
6.1.3 Poland Predictive and Prescriptive Analytics Market Revenues & Volume, By BFSI, 2021- 2031F |
6.1.4 Poland Predictive and Prescriptive Analytics Market Revenues & Volume, By Healthcare, 2021- 2031F |
6.1.5 Poland Predictive and Prescriptive Analytics Market Revenues & Volume, By Retail, 2021- 2031F |
6.1.6 Poland Predictive and Prescriptive Analytics Market Revenues & Volume, By IT and Telecom, 2021- 2031F |
6.1.7 Poland Predictive and Prescriptive Analytics Market Revenues & Volume, By Industrial, 2021- 2031F |
6.1.8 Poland Predictive and Prescriptive Analytics Market Revenues & Volume, By Government and Defense, 2021- 2031F |
7 Poland Predictive and Prescriptive Analytics Market Import-Export Trade Statistics |
7.1 Poland Predictive and Prescriptive Analytics Market Export to Major Countries |
7.2 Poland Predictive and Prescriptive Analytics Market Imports from Major Countries |
8 Poland Predictive and Prescriptive Analytics Market Key Performance Indicators |
8.1 Percentage increase in the number of companies adopting predictive and prescriptive analytics in Poland |
8.2 Growth in the demand for analytics training and certification programs in the country |
8.3 Number of successful case studies showcasing the impact of predictive and prescriptive analytics on business outcomes in Poland |
9 Poland Predictive and Prescriptive Analytics Market - Opportunity Assessment |
9.1 Poland Predictive and Prescriptive Analytics Market Opportunity Assessment, By End-user Industry, 2021 & 2031F |
10 Poland Predictive and Prescriptive Analytics Market - Competitive Landscape |
10.1 Poland Predictive and Prescriptive Analytics Market Revenue Share, By Companies, 2024 |
10.2 Poland Predictive and Prescriptive 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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