| Product Code: ETC9952766 | Publication Date: Sep 2024 | Updated Date: Aug 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 United Kingdom (UK) Predictive and Prescriptive Analytics Market Overview |
3.1 United Kingdom (UK) Country Macro Economic Indicators |
3.2 United Kingdom (UK) Predictive and Prescriptive Analytics Market Revenues & Volume, 2021 & 2031F |
3.3 United Kingdom (UK) Predictive and Prescriptive Analytics Market - Industry Life Cycle |
3.4 United Kingdom (UK) Predictive and Prescriptive Analytics Market - Porter's Five Forces |
3.5 United Kingdom (UK) Predictive and Prescriptive Analytics Market Revenues & Volume Share, By End-user Industry, 2021 & 2031F |
4 United Kingdom (UK) Predictive and Prescriptive Analytics Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of big data analytics in various industries in the UK |
4.2.2 Growing focus on data-driven decision making among businesses |
4.2.3 Technological advancements in predictive and prescriptive analytics tools and algorithms |
4.3 Market Restraints |
4.3.1 Lack of skilled professionals in the field of data analytics |
4.3.2 Data privacy and security concerns among businesses in the UK |
4.3.3 High implementation costs associated with predictive and prescriptive analytics solutions |
5 United Kingdom (UK) Predictive and Prescriptive Analytics Market Trends |
6 United Kingdom (UK) Predictive and Prescriptive Analytics Market, By Types |
6.1 United Kingdom (UK) Predictive and Prescriptive Analytics Market, By End-user Industry |
6.1.1 Overview and Analysis |
6.1.2 United Kingdom (UK) Predictive and Prescriptive Analytics Market Revenues & Volume, By End-user Industry, 2021- 2031F |
6.1.3 United Kingdom (UK) Predictive and Prescriptive Analytics Market Revenues & Volume, By BFSI, 2021- 2031F |
6.1.4 United Kingdom (UK) Predictive and Prescriptive Analytics Market Revenues & Volume, By Healthcare, 2021- 2031F |
6.1.5 United Kingdom (UK) Predictive and Prescriptive Analytics Market Revenues & Volume, By Retail, 2021- 2031F |
6.1.6 United Kingdom (UK) Predictive and Prescriptive Analytics Market Revenues & Volume, By IT and Telecom, 2021- 2031F |
6.1.7 United Kingdom (UK) Predictive and Prescriptive Analytics Market Revenues & Volume, By Industrial, 2021- 2031F |
6.1.8 United Kingdom (UK) Predictive and Prescriptive Analytics Market Revenues & Volume, By Government and Defense, 2021- 2031F |
7 United Kingdom (UK) Predictive and Prescriptive Analytics Market Import-Export Trade Statistics |
7.1 United Kingdom (UK) Predictive and Prescriptive Analytics Market Export to Major Countries |
7.2 United Kingdom (UK) Predictive and Prescriptive Analytics Market Imports from Major Countries |
8 United Kingdom (UK) Predictive and Prescriptive Analytics Market Key Performance Indicators |
8.1 Average time to deploy new predictive and prescriptive analytics models |
8.2 Rate of adoption of advanced analytics tools in different industry sectors in the UK |
8.3 Number of successful use cases and case studies demonstrating the benefits of predictive and prescriptive analytics applications |
9 United Kingdom (UK) Predictive and Prescriptive Analytics Market - Opportunity Assessment |
9.1 United Kingdom (UK) Predictive and Prescriptive Analytics Market Opportunity Assessment, By End-user Industry, 2021 & 2031F |
10 United Kingdom (UK) Predictive and Prescriptive Analytics Market - Competitive Landscape |
10.1 United Kingdom (UK) Predictive and Prescriptive Analytics Market Revenue Share, By Companies, 2024 |
10.2 United Kingdom (UK) 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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