Indonesia P&C Insurance Core Platform Market by Platform (Policy Management, Billing Management, and Claims Management), by Insurance Type (Personal, Commercial, and Specialty), by Deployment (Cloud and On-Premise), and by Enterprise Size (Large Enterprises and Small and Medium-Sized Enterprises (SMEs)) – Opportunity Analysis and Industry Forecast, 2025–2030
Industry: ICT & Media | Lastest Edition: April 8, 2026 | No of Pages: N/A | No. of Tables: N/A | No. of Figures: N/A | Format: PDF | Report Code : IC4431
Indonesia P&C Insurance Core Platform Market Overview
The Indonesia P&C Insurance Core Platform Market size was valued at USD 22.93 million in 2024, and is predicted to reach USD 33.14 million by 2030, at a CAGR of 5.5% from 2025 to 2030.
The rising information and communication technology domain and growing collaborations between Insurtech firms and insurance providers in Indonesia drives the market growth. However, the high cost involved with the implementation of core platform solution limits the growth of the market. On the contrary, introduction of artificial intelligence and data analytics in core platform is anticipated to create future opportunity for the growth of the market. Moreover, the major players operating in the market are Mphasis, DXC Technology and others adopt various business strategies in order to enhance their market expansion and broaden their product offerings. With the advancement in technologies, the market is set for further revolution in the coming years and artificial intelligence enhances the risk assessment and analyze large amount of data and allows insurance providers to design the policy as per the requirements.
Growing Information and Communication Technology (ICT) Sector is Boosting the Market
Indonesia’s rapidly evolving information and communication technology (ICT) sector is playing a key role in driving demand for advanced P&C insurance core platforms. According to the Network Readiness Index 2023, Indonesia ranks 59th out of 134 global economies, reflecting ongoing efforts to strengthen digital infrastructure and technology adoption. This steady digital progress positions Indonesia as a promising market for insurers seeking innovative core platform solutions to streamline operations and improve service delivery.
Increasing Collaborations Between Insurtech Firms and Insurance Providers in Indonesia is Fueling the Indonesia P&C Insurance Core Platform Market Growth
Strategic partnerships between Insurtech companies and insurance providers in Indonesia are fueling growth in the P&C insurance core platform market. For instance, in March 2024, Carrot General Insurance collaborated with Lippo General Insurance to introduce a Behavior Based Insurance (BBI) model. This partnership integrates real-time mobility data analytics and risk assessment tools to support behavior-driven reward systems and fleet risk profiling. Such collaborations highlight the industry’s shift toward smarter solutions, driving the adoption of agile core platforms capable of supporting next-gen insurance offerings.
High Cost Associated with the Implementation of Core Platform Solutions Hinders the Indonesia P&C Insurance Core Platform Market Expansion
Adopting P&C insurance core platforms in Indonesia often involves significant upfront costs, including licensing, customization, data migration, training, and ongoing support. These financial demands can discourage smaller insurers with limited budgets. Additionally, the insurance sector’s reliance on legacy systems adds resistance to change. Many providers remain hesitant to modernize due to concerns over system compatibility, process disruption, and return on investment. This cautious approach continues to slow the broader shift toward digital transformation.
Integration of P&C Insurance Core Platforms with Data Analytics and AI Creates Opportunity for the Market Growth
Integrating artificial intelligence and data analytics with core platforms is reshaping Indonesia’s P&C insurance industry. These technologies enable insurers to manage large volumes of data more effectively, improving risk analysis, speeding up claims processes, and enhancing customer personalization. For example, in January 2024, Insurity launched an AI-powered analytics solution to help P&C insurers strengthen predictive accuracy and support better decision-making. With tools that provide real-time insights and operational transparency, Indonesian insurers are increasingly positioned to boost performance and drive smarter growth through advanced platform integration.
Competitive Landscape
The promising players operating in the Indonesia P&C insurance core platform industry include Mphasis, DXC Technology, Socotra, PasarPolis, Qoala, Oracle Corporation, eBaoTech International, Xceedance, NTT DATA, Inc., TATA Consultancy Services Limited, Accenture, SAP SE, Salesforce Inc, IBM Corporation, and others.
Indonesia P&C Insurance Core Platform Market Key Segments
By Platform
-
Policy Management
-
Billing Management
-
Claims Management
By Insurance Type
-
Personal
-
Commercial
-
Specialty
By Deployment
-
Cloud
-
On-Premise
By Enterprise Size
-
Large Enterprises
-
Small and Medium-Sized Enterprises (SMEs)
Key Market Players
-
Mphasis
-
DXC Technology
-
Socotra
-
PasarPolis
-
Qoala
-
Oracle Corporation
-
eBaoTech International
-
Xceedance
-
NTT DATA, Inc.
-
TATA Consultancy Services Limited
-
Accenture
-
SAP SE
-
Salesforce Inc
-
IBM Corporation
Report Scope and Segmentation:
|
Parameters |
Details |
|
Market Size in 2024 |
USD 22.93 million |
|
Revenue Forecast in 2030 |
USD 33.14 million |
|
Growth Rate |
CAGR of 5.5% from 2025 to 2030 |
|
Analysis Period |
2024–2030 |
|
Base Year Considered |
2024 |
|
Forecast Period |
2025–2030 |
|
Market Size Estimation |
Million (USD) |
|
Growth Factors |
|
|
Companies Profiled |
14 |
|
Customization Scope |
Free customization (equivalent up to 80 working hours of analysts) after purchase. Addition or alteration to country, regional, and segment scope. |
|
Pricing and Purchase Options |
Avail customized purchase options to meet your exact research needs. |
About the Author
Saista Faiyaz is a Research Associate specializing in analytical research, structured data review, and knowledge-driven insight development. She supports projects through methodical evaluation, cross-disciplinary understanding, and clear documentation that aid informed outcomes. With experience bridging research and technical domains, she contributes to organized learning processes, critical analysis, and collaborative problem solving. Her approach emphasizes accuracy, adaptability, and clarity, enabling consistent research support and meaningful contributions across diverse projects effectively.
About the Reviewer
Supradip Baul is an accomplished business consultant and strategist with over a decade of rich experience in market intelligence, strategy, technology, and business transformation. His work has included rigorous qualitative and quantitative analysis across multiple industries, helping clients shape investment decisions and long-term roadmaps. Earlier in his career, he was associated with Gartner, where he contributed to industry-leading reports and market share analyses. He has worked with leading global companies and holds an MBA with a dual specialization in Marketing and Finance.
At Next Move Strategy Consulting, we understand that insightful market research is the cornerstone of successful business decisions. That's why we employ a robust and multifaceted approach, combining various methodologies to deliver the most accurate and actionable data for our clients.
Research Landscape
We navigate the world of research with two primary approaches:
Qualitative Approach
Our qualitative research methodologies involve immersive techniques such as in-depth interviews, focus groups, and observational studies. By engaging directly with individuals and stakeholders, we uncover valuable insights that quantitative data alone may overlook.
Quantitative Research
In tandem with qualitative methodologies, NMSC leverages the power of Quantitative Research to provide a robust foundation of numerical insights. Through systematic data collection and analysis, we quantify patterns, preferences, and market trends, offering a comprehensive view of the business landscape.
Our quantitative research approach employs diverse tools, including surveys, experiments, and statistical modelling. These methodologies enable us to gather data from a large and representative sample, ensuring the statistical significance of our findings. By employing structured questionnaires and standardized data collection methods, we guarantee the reliability and validity of the information we present to our clients.
Quantitative research is particularly effective in measuring the prevalence of trends, assessing market size, and gauging the impact of various factors on consumer behavior. The numerical precision attained through this approach equips our clients with actionable insights, facilitating data-driven decision-making and strategy formulation.
Our Specialized Toolbox for Industry-Specific Market Research
We deploy a specialized arsenal of techniques tailored to meet your unique requirements. Here's a glimpse into our comprehensive toolbox:
Information Procurement
The stage entails acquiring market data or relevant information through various sources and methodologies.
Market Research Approach
We utilize both top-down and bottom-up approaches in market research analysis to achieve a comprehensive understanding of the market dynamics, leveraging the broad perspective of industry trends and macroeconomic factors alongside detailed insights from specific segments and individual companies.
Porters Five Forces Analysis
We conduct Porter's Five Forces analysis to evaluate the competitive landscape of an industry, providing us with insights into factors that affect profitability and strategic positioning.
SWOT Analysis
Forecasting
We utilize a forecasting model to predict future consumption by considering parameters like population, economics, regulations, market competition, drivers, constraints, technology, and pricing. We also employ statistical techniques such as multilinear regression, exponential smoothing, moving average, ARIMA, and Monte Carlo simulations for accurate predictions. In econometric forecasting, we analyzed short-term and long-term event impacts, attributing values based on regulatory frameworks, economic factors, and market events.
Speak to Our Analyst
