PUBLISHER: Global Industry Analysts, Inc. | PRODUCT CODE: 1737398
PUBLISHER: Global Industry Analysts, Inc. | PRODUCT CODE: 1737398
Global RPA in Insurance Market to Reach US$786.2 Million by 2030
The global market for RPA in Insurance estimated at US$203.4 Million in the year 2024, is expected to reach US$786.2 Million by 2030, growing at a CAGR of 25.3% over the analysis period 2024-2030. Solutions Component, one of the segments analyzed in the report, is expected to record a 22.3% CAGR and reach US$438.1 Million by the end of the analysis period. Growth in the Services Component segment is estimated at 29.8% CAGR over the analysis period.
The U.S. Market is Estimated at US$55.4 Million While China is Forecast to Grow at 33.0% CAGR
The RPA in Insurance market in the U.S. is estimated at US$55.4 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$188.8 Million by the year 2030 trailing a CAGR of 33.0% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 20.6% and 22.5% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 21.2% CAGR.
Global “RPA in Insurance” Market - Key Trends & Drivers Summarized
Why Is RPA Revolutionizing Operational Efficiency in the Insurance Sector?
Robotic Process Automation (RPA) is fundamentally transforming the insurance industry by automating repetitive, rule-based tasks across policy servicing, claims processing, underwriting, customer onboarding, and compliance. With increasing customer expectations and mounting cost pressures, insurers are adopting RPA to enhance accuracy, reduce cycle times, and drive productivity across back-office and customer-facing operations. By deploying software bots that mimic human actions across digital systems, insurers can automate tasks such as data extraction, form validation, premium calculations, and policy issuance without overhauling their legacy IT infrastructure. The benefits of reduced human error, faster processing, and 24/7 operability are making RPA a strategic enabler of digital transformation. Insurers are also using RPA to bridge data silos across multiple systems and streamline regulatory reporting processes. As customer journeys move to omnichannel platforms, RPA supports real-time updates and faster response handling across call centers, web portals, and mobile apps. Early adopters are reporting double-digit improvements in operational KPIs and customer satisfaction, setting benchmarks for the rest of the industry.
How Is Intelligent Automation Elevating the Value Proposition of RPA?
The insurance sector is increasingly evolving from basic RPA to intelligent automation, integrating artificial intelligence (AI), natural language processing (NLP), and machine learning (ML) with rule-based bots to expand the scope and complexity of automated tasks. AI-enhanced RPA systems can now understand context, interpret unstructured documents, and make rule-based decisions in underwriting and fraud detection. For instance, insurers are automating the analysis of medical records, claim narratives, and customer emails using NLP-enabled bots. ML-driven bots can also learn from user behavior and historical data to continuously optimize workflows and flag anomalies in real time. Computer vision is being deployed to assess damage in claims photos and validate documentation, reducing the need for human adjusters. The shift to hyperautomation is enabling insurers to automate entire end-to-end processes with minimal intervention, particularly in high-volume, high-compliance functions like policy administration and claims adjudication. These capabilities are positioning RPA as a strategic lever in achieving straight-through processing, reducing turnaround times, and delivering hyper-personalized customer service.
Which Insurance Segments Are Leading in RPA Adoption?
Life, health, property & casualty (P&C), and auto insurance segments are all investing in RPA, though use cases and maturity levels vary. P&C insurers are leveraging RPA for first notice of loss (FNOL) processing, document handling, and claims validation. Life insurers are using RPA to streamline application processing, underwriting approvals, and policy maintenance. Health insurers are automating provider credentialing, claim adjudication, and regulatory compliance tasks, especially under evolving mandates such as ICD-10, HIPAA, and value-based care models. Auto insurers are applying RPA in fraud detection, VIN verification, and fleet policy management. Large insurers are building RPA centers of excellence (CoEs) and partnering with technology providers to scale their automation roadmaps. Meanwhile, insurtech startups are embedding RPA into cloud-native platforms to create nimble, digitally born insurance operations. Regulatory bodies are also embracing RPA for audit trail transparency and faster turnaround on compliance queries. Across all segments, RPA adoption is increasingly aligned with business continuity planning, cybersecurity enhancement, and customer experience transformation.
The Growth in the RPA in Insurance Market Is Driven by Several Factors...
The rapid growth of the RPA in insurance market is being fueled by converging industry dynamics. Insurers are under growing pressure to reduce operational costs, improve agility, and elevate customer service standards in an increasingly digital-first marketplace. Legacy system limitations and fragmented workflows are driving insurers to adopt non-invasive RPA tools that offer quick wins without massive IT overhauls. The rising complexity of regulatory compliance, especially in multi-jurisdictional operations, is encouraging the deployment of bots for standardized, auditable processes. Increased competition from insurtechs and digital-native players is pushing traditional insurers to accelerate automation initiatives. Advances in cloud computing, low-code RPA platforms, and intelligent document processing (IDP) are lowering the barrier to entry and expanding implementation across mid-sized insurers. Additionally, the COVID-19 pandemic catalyzed enterprise-wide automation as a business continuity strategy, reinforcing long-term investments in RPA. As insurers aim to scale automation beyond pilots, the demand for intelligent, scalable RPA solutions integrated with analytics and AI is expected to surge. Together, these factors are positioning RPA as a foundational element in the future of agile, resilient, and customer-centric insurance operations.
SCOPE OF STUDY:
The report analyzes the RPA in Insurance market in terms of units by the following Segments, and Geographic Regions/Countries:
Segments:
Component (Solutions, Services); Deployment (On-Premise, Cloud); Organization Size (Large Enterprises, SMEs); Application (Claims Processing, Insurance Underwriting, Regulatory Compliance, Finance & Accounts, Other Applications)
Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.
Select Competitors (Total 34 Featured) -
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