The Brazil insurance software market size reached USD 85.84 Million in 2024. The market is projected to reach USD 136.86 Million by 2033, exhibiting a growth rate (CAGR) of 5.32% during 2025-2033. The market is driven by the rapid adoption of artificial intelligence and digital transformation technologies enhancing underwriting and claims processing, ongoing regulatory modernization including SUSEP's sandbox programs enabling innovative solutions, and the widespread migration to cloud-based platforms with API-driven integration capabilities. Additionally, the growing emphasis on fraud prevention through advanced analytics and the increasing demand for automated business processes are supporting the Brazil insurance software market share.
Report Attribute
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Key Statistics
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Base Year
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2024
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Forecast Years
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2025-2033
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Historical Years
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2019-2024
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Market Size in 2024 | USD 85.84 Million |
Market Forecast in 2033 | USD 136.86 Million |
Market Growth Rate 2025-2033 | 5.32% |
Integration of AI and Automation
The integration of artificial intelligence (AI) and automation is transforming the insurance software landscape in Brazil. Insurers are increasingly utilizing AI-driven tools and machine learning algorithms to improve decision-making in areas like underwriting, claims evaluation, and fraud detection. In September 2025, Brazil's insurtech 180° Insurance secured USD 9.2 Million in a pre-Series B funding round led by investors including 8VC and Monashees. The company aims to enhance its AI-driven insurance offerings and accelerate adoption in Brazil where insurance penetration remains low. They plan to expand AI capabilities in customer interactions. Robotic process automation (RPA) is simplifying repetitive tasks such as document verification policy updates, and payment processing which minimizes manual errors and reduces operational costs. Additionally, AI-powered analytics allows insurers to provide personalized policies that reflect customer behavior, risk profiles, and preferences. This approach enhances efficiency while also boosting customer satisfaction and retention. The rising dependence on automation facilitates real-time risk monitoring and predictive modeling which are essential in a competitive environment. As insurers keep investing in cutting-edge technologies the integration of AI and automation will remain a central driver of Brazil insurance software market growth.
Expansion of InsurTech Collaborations
The Brazil insurance software market is experiencing a significant transformation through increasing partnerships between traditional insurers and InsurTech companies. In July 2025, i4pro, a Brazilian insurance policy administration software provider, was acquired by Banyan Software. This partnership aims to foster innovation and growth while maintaining i4pro's operational independence. The acquisition enhances Banyan's international presence and commitment to supporting software companies in key markets across Latin America. These collaborations are driving digital evolution by introducing innovative platforms, mobile-centric solutions, and data-driven tools that improve product creation and distribution. InsurTech startups provide agility and advanced technological capabilities, while established insurers bring scale, regulatory expertise, and market penetration. Together, they facilitate quicker claims processing, smooth digital onboarding, and more tailored policy offerings to address changing customer demands. Moreover, partnerships are promoting the adoption of blockchain, telematics, and digital ecosystems that widen access to underserved demographics. This alliance is enhancing operational efficiency and generating new revenue opportunities for insurers. Given the rising interest in digital-first insurance solutions, the growth of InsurTech partnerships is poised to play a crucial role in the evolution of Brazil’s insurance software market.
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country and regional levels for 2025-2033. Our report has categorized the market based on type, deployment mode, and end user.
Type Insights:
The report has provided a detailed breakup and analysis of the market based on the type. This includes life insurance, accident and health insurance, property and casualty insurance, and others.
Deployment Mode Insights:
A detailed breakup and analysis of the market based on the deployment mode have also been provided in the report. This includes cloud-based and on-premises.
End User Insights:
The report has provided a detailed breakup and analysis of the market based on the end user. This includes brokers, agencies, and insurance companies.
Regional Insights:
The report has also provided a comprehensive analysis of all the major regional markets, which include Southeast, South, Northeast, North, and Central-West.
The market research report has also provided a comprehensive analysis of the competitive landscape. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.
Report Features | Details |
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Base Year of the Analysis | 2024 |
Historical Period | 2019-2024 |
Forecast Period | 2025-2033 |
Units | Million USD |
Scope of the Report | Exploration of Historical Trends and Market Outlook, Industry Catalysts and Challenges, Segment-Wise Historical and Future Market Assessment:
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Types Covered | Life Insurance, Accident and Health Insurance, Property and Casualty Insurance, Others |
Deployment Modes Covered | Cloud-Based, On-Premises |
End Users Covered | Brokers, Agencies, Insurance Companies |
Regions Covered | Southeast, South, Northeast, North, Central-West |
Customization Scope | 10% Free Customization |
Post-Sale Analyst Support | 10-12 Weeks |
Delivery Format | PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |
Key Questions Answered in This Report:
Key Benefits for Stakeholders: