| Product Code: ETC4395936 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
| Publisher: 6Wresearch | Author: Shubham Padhi | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 |
The demand for prescriptive analytics is rising in Australia as organizations seek advanced decision-making solutions. Unlike descriptive or predictive analytics, prescriptive analytics provides actionable recommendations based on data insights. Industries such as healthcare, finance, and retail are leveraging these solutions to optimize resource allocation, risk management, and customer engagement. AI-driven models are being used to simulate business scenarios, allowing enterprises to make informed decisions that drive profitability and efficiency.
The prescriptive analytics market in Australia is expanding due to increasing demand for data-driven decision-making and process optimization. Rising adoption of AI and machine learning for scenario analysis and real-time recommendations is driving market demand. Enhanced focus on improving business outcomes and competitive advantage is supporting market growth.
The prescriptive analytics market in Australia faces challenges from high costs of implementation and the complexity of interpreting prescriptive insights. Shortage of skilled professionals and data privacy regulations further restrict market expansion.
The Australia Prescriptive Analytics Market offers strong investment potential due to increasing demand for data-driven decision-making. Investment opportunities include developing AI-based prescriptive models, improving scenario analysis capabilities, and expanding into financial and healthcare sectors. Partnerships with business intelligence firms and enterprise software providers could drive market expansion.
The Australian government supports the use of prescriptive analytics through the Australian Data Strategy and the Digital Economy Strategy 2030. Businesses and government agencies are encouraged to use prescriptive models for resource allocation, operational efficiency, and fraud detection. However, prescriptive analytics involving personal data must comply with the Privacy Act 1988 and the Consumer Data Right (CDR) framework.
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 Australia Prescriptive Analytics Market Overview |
3.1 Australia Country Macro Economic Indicators |
3.2 Australia Prescriptive Analytics Market Revenues & Volume, 2021 & 2031F |
3.3 Australia Prescriptive Analytics Market - Industry Life Cycle |
3.4 Australia Prescriptive Analytics Market - Porter's Five Forces |
3.5 Australia Prescriptive Analytics Market Revenues & Volume Share, By Application , 2021 & 2031F |
3.6 Australia Prescriptive Analytics Market Revenues & Volume Share, By Data Type, 2021 & 2031F |
3.7 Australia Prescriptive Analytics Market Revenues & Volume Share, By Component, 2021 & 2031F |
3.8 Australia Prescriptive Analytics Market Revenues & Volume Share, By Deployment Mode, 2021 & 2031F |
3.9 Australia Prescriptive Analytics Market Revenues & Volume Share, By Organization Size, 2021 & 2031F |
3.10 Australia Prescriptive Analytics Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
4 Australia Prescriptive Analytics Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for data-driven decision-making in businesses |
4.2.2 Growing adoption of advanced analytics solutions in various industries |
4.2.3 Rising awareness about the benefits of prescriptive analytics in optimizing operations |
4.3 Market Restraints |
4.3.1 High implementation costs associated with prescriptive analytics solutions |
4.3.2 Lack of skilled professionals to effectively utilize prescriptive analytics tools |
4.3.3 Data security and privacy concerns hindering widespread adoption |
5 Australia Prescriptive Analytics Market Trends |
6 Australia Prescriptive Analytics Market, By Types |
6.1 Australia Prescriptive Analytics Market, By Application |
6.1.1 Overview and Analysis |
6.1.2 Australia Prescriptive Analytics Market Revenues & Volume, By Application , 2021-2031F |
6.1.3 Australia Prescriptive Analytics Market Revenues & Volume, By Risk Management, 2021-2031F |
6.1.4 Australia Prescriptive Analytics Market Revenues & Volume, By Operation Management, 2021-2031F |
6.1.5 Australia Prescriptive Analytics Market Revenues & Volume, By Revenue Management, 2021-2031F |
6.1.6 Australia Prescriptive Analytics Market Revenues & Volume, By Network Management, 2021-2031F |
6.1.7 Australia Prescriptive Analytics Market Revenues & Volume, By Workforce Management, 2021-2031F |
6.1.8 Australia Prescriptive Analytics Market Revenues & Volume, By Supply Chain Management, 2021-2031F |
6.2 Australia Prescriptive Analytics Market, By Data Type |
6.2.1 Overview and Analysis |
6.2.2 Australia Prescriptive Analytics Market Revenues & Volume, By Unstructured, 2021-2031F |
6.2.3 Australia Prescriptive Analytics Market Revenues & Volume, By Semi-Structured, 2021-2031F |
6.2.4 Australia Prescriptive Analytics Market Revenues & Volume, By Structured, 2021-2031F |
6.3 Australia Prescriptive Analytics Market, By Component |
6.3.1 Overview and Analysis |
6.3.2 Australia Prescriptive Analytics Market Revenues & Volume, By Software, 2021-2031F |
6.3.3 Australia Prescriptive Analytics Market Revenues & Volume, By Services, 2021-2031F |
6.4 Australia Prescriptive Analytics Market, By Deployment Mode |
6.4.1 Overview and Analysis |
6.4.2 Australia Prescriptive Analytics Market Revenues & Volume, By Cloud, 2021-2031F |
6.4.3 Australia Prescriptive Analytics Market Revenues & Volume, By On-premises, 2021-2031F |
6.5 Australia Prescriptive Analytics Market, By Organization Size |
6.5.1 Overview and Analysis |
6.5.2 Australia Prescriptive Analytics Market Revenues & Volume, By Large enterprises, 2021-2031F |
6.5.3 Australia Prescriptive Analytics Market Revenues & Volume, By Small and medium-sized enterprises (SMEs), 2021-2031F |
6.6 Australia Prescriptive Analytics Market, By Vertical |
6.6.1 Overview and Analysis |
6.6.2 Australia Prescriptive Analytics Market Revenues & Volume, By BFSI, 2021-2031F |
6.6.3 Australia Prescriptive Analytics Market Revenues & Volume, By Retail and eCommerce, 2021-2031F |
6.6.4 Australia Prescriptive Analytics Market Revenues & Volume, By Media and Entertainment, 2021-2031F |
6.6.5 Australia Prescriptive Analytics Market Revenues & Volume, By Manufacturing, 2021-2031F |
6.6.6 Australia Prescriptive Analytics Market Revenues & Volume, By Travel and Hospitality, 2021-2031F |
6.6.7 Australia Prescriptive Analytics Market Revenues & Volume, By Energy and Utilities, 2021-2031F |
7 Australia Prescriptive Analytics Market Import-Export Trade Statistics |
7.1 Australia Prescriptive Analytics Market Export to Major Countries |
7.2 Australia Prescriptive Analytics Market Imports from Major Countries |
8 Australia Prescriptive Analytics Market Key Performance Indicators |
8.1 Average time to implement prescriptive analytics solutions |
8.2 Percentage increase in operational efficiency after implementing prescriptive analytics |
8.3 Number of companies investing in upskilling employees in analytics techniques |
9 Australia Prescriptive Analytics Market - Opportunity Assessment |
9.1 Australia Prescriptive Analytics Market Opportunity Assessment, By Application , 2021 & 2031F |
9.2 Australia Prescriptive Analytics Market Opportunity Assessment, By Data Type, 2021 & 2031F |
9.3 Australia Prescriptive Analytics Market Opportunity Assessment, By Component, 2021 & 2031F |
9.4 Australia Prescriptive Analytics Market Opportunity Assessment, By Deployment Mode, 2021 & 2031F |
9.5 Australia Prescriptive Analytics Market Opportunity Assessment, By Organization Size, 2021 & 2031F |
9.6 Australia Prescriptive Analytics Market Opportunity Assessment, By Vertical, 2021 & 2031F |
10 Australia Prescriptive Analytics Market - Competitive Landscape |
10.1 Australia Prescriptive Analytics Market Revenue Share, By Companies, 2024 |
10.2 Australia 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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