Global RPA in Insurance Market Report 2023: Sector is Expected to Reach $1.2 Billion by 2031 at a CAGR of 28.3%

Dublin, May 02, 2023 (GLOBE NEWSWIRE) -- The "RPA in Insurance Market by Component, Deployment Mode, Enterprise Size, Application: Global Opportunity Analysis and Industry Forecast, 2021-2031" report has been added to's offering.

According to this report the RPA in insurance market was valued at $98.56 million in 2021, and is estimated to reach $1.2 billion by 2031, growing at a CAGR of 28.3% from 2022 to 2031.

Key Market Players

  • Fidel Technologies
  • Infosys Limited
  • Vuram
  • Opteamix
  • Automation Anywhere, Inc.
  • Aspire Systems
  • Dynpro
  • Royal Cyber Inc.
  • Pegasystems, Inc.
  • UiPath

The RPA in Insurance Market is likely to experience a significant growth rate of 28.3% from 2022-2031 owing to increasing market demand from large enterprises segment.

RPA (Robotic Process Automation) in insurance refers to the use of software robots or virtual assistants to automate repetitive and time-consuming tasks in the insurance industry. This technology is used to handle processes such as claims processing, policy administration, underwriting, customer service, and compliance.

Moreover, RPA software can be programmed to perform a variety of tasks in the insurance industry, such as claims processing, policy administration, underwriting, customer service, and data entry. These tasks includes document processing, data extraction and validation, email handling, record keeping, and other routine tasks.

In addition, it also streamlines the everyday business processes that drain workers' time, energy and morale. By deploying RPA bots across multiple systems, insurers can improve accuracy and efficiency, freeing up human resources for more strategic tasks.

Key factors driving the growth of the RPA in insurance market include factors such as the Cost savings and efficiency improvement and improved customer experience has led to improved customer service, faster processing times, and a more efficient and streamlined customer experience, which in turn is driving the demand for RPA in insurances. In addition, the pandemic has led to an increase in demand for automation technologies, including RPA, as insurers look to streamline their operations and reduce costs.

Furthermore, RPA helps in insurance for better decision-making through data analysis by automating the collection, organization, and analysis of large amounts of data. This enables insurance companies to quickly identify patterns and trends, and make informed decisions based on the insights gained from the data. Moreover, the increasing amount of data generated by insurance companies and the need for more efficient and accurate analysis have driven this trend.

In addition, RPA also eliminates the need for manual data entry and reduces the risk of errors, further improving the efficiency and accuracy of processes. It helps to deploy quickly and cost-effectively, and can easily scale to meet the changing needs of the business. Furthermore, with help of RPA a company can gather and analyze customer data to provide more personalized interactions and recommendations, enhancing the overall customer experience. However, Data security and privacy are major concerns in the implementation of RPA in the insurance market.

The insurance industry deals with a significant amount of sensitive customer data, including personal information and financial details, which must be protected against unauthorized access and breaches. Moreover, the industry handles sensitive information such as personal and financial data, which must be protected from unauthorized access, breaches, and theft. In addition, implementing RPA can be expensive and may require a significant investment in technology and resources, which can be a restraint for the RPA in insurance market.

The market also offers growth opportunities to the key players in the market since there is a significant opportunity for reduced operational cost, automating manual, repetitive tasks and reducing errors, RPA can help insurance companies to save on labor and operational costs, freeing up resources for other value-adding activities. Furthermore, the improved efficiency and accuracy offered by RPA can also reduce costs associated with errors and inefficiencies.

In addition, auto claim processing in the insurance industry refers to the use of technology, such as RPA, to automate the handling and resolution of insurance claims. This process typically involves the use of software robots to perform tasks such as data entry, document handling, and claim adjudication. Thus, these factors are expected to offer lucrative growth opportunities for the RPA in insurance market in the upcoming years.

Key benefits for stakeholders

  • The study provides in-depth analysis of the global RPA in insurance market along with the current & future trends to illustrate the imminent investment pockets.
  • Information about key drivers, restrains, & opportunities and their impact analysis on the global RPA in insurance market size are provided in the report.
  • Porter's five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
  • The quantitative analysis of the global RPA in insurance market from 2022 to 2031 is provided to determine the market potential.

Key Market Segments

By Component

  • Solution
  • Service

By Deployment Mode

  • On-Premise
  • Cloud

By Enterprise Size

  • Large Enterprise
  • Small and Medium-sized Enterprises

By Application

  • Claims Processing
  • Insurance Underwriting
  • Regulatory Compliance
  • Finance and Accounts
  • Others

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