Home About Us Industry Report Store Resources Contact us

RPA in Insurance Market Research Report 2024

RPA in Insurance Market Global Industry Analysis and Forecast (2024- 2032) By Component (Solution, Service), Deployment Mode (On-Premise, Cloud), Enterprise Size (Large Enterprise, Small and Medium-sized Enterprises), Application (Claims Processing, Insurance Underwriting, Regulatory Compliance, Finance and Accounts) And Region

0/5
( 0 votes )

Report ID: 216

Categories: Service Industry

Format :

Summary TOC Segmentation Methodology

Global RPA in Insurance Market Synopsis

The RPA in the Insurance market was worth USD 102.34 Million in 2023. As such, the forecast is that the market is expected to reach USD 410.85 Million by  2032 with a CAGR of 16.7% over the period from 2024 to 2032.

Robotic Process Automation (RPA) is revolutionizing the insurance market by streamlining operations, enhancing customer experiences, and improving efficiency. In this dynamic sector, RPA offers significant advantages by automating repetitive tasks, reducing errors, and freeing up human resources for more strategic activities.

  • In insurance, RPA is extensively used for back-office operations such as claims processing, policy administration, and underwriting. RPA bots can swiftly extract data from various sources, validate information, and update systems accurately, thus accelerating the entire process. This efficiency boosts productivity ensures compliance with regulations and reduces the risk of errors.
  • Moreover, RPA facilitates seamless integration between disparate systems, enabling insurers to enhance their legacy infrastructure without undergoing costly and time-consuming overhauls. This interoperability allows for smoother data exchange and better collaboration across departments, leading to faster decision-making and improved customer service.
  • Customer service is a critical aspect of the insurance industry, and RPA plays a pivotal role in enhancing it. Bots can handle routine inquiries, process policy renewals, and even assist with claims submissions, providing customers with quick and personalized assistance around the clock. By automating these tasks, insurers can offer a more responsive and efficient service while reducing operational costs.
  • RPA enables insurers to stay agile and adapt to changing market dynamics more effectively. By automating repetitive tasks, they can reallocate resources to focus on strategic initiatives such as product innovation, risk management, and fraud detection. This agility is crucial in an industry that faces evolving regulatory requirements, shifting customer expectations, and emerging.

Top Key Players Involved Are:

"UiPath (USA), Automation Anywhere (USA), Blue Prism (UK), Pegasystems (USA), Kryon (Israel), NICE (Israel), WorkFusion (USA), EdgeVerve Systems (India), Thoughtonomy (UK), Jacada (USA), AntWorks (Singapore), Softomotive (UK), Kofax (USA), BlackLine (USA), Redwood Software (Netherlands), HelpSystems (USA), OpenConnect (USA), Ephesoft (USA), Genpact (USA), ASG Technologies (USA) and Other Active Players."

RPA in Insurance Market Trend Analysis

Fraud Detection and Prevention

  • Fraud detection and prevention are primary concerns within the insurance industry, where losses due to fraudulent activities amount to billions annually. Robotic Process Automation (RPA) emerges as a powerful tool in addressing these challenges, driving transformative changes within the insurance market.
  • RPA integrates seamlessly into existing systems, automating repetitive tasks quickly and accurately. In the context of fraud detection, RPA can swiftly analyze vast amounts of data, cross-referencing information to identify suspicious patterns or anomalies. This capability significantly enhances the efficiency of fraud detection processes, allowing insurers to pinpoint fraudulent activities in real time or even before they occur.
  • Moreover, RPA enhances the consistency of fraud detection by eliminating human error and bias. It ensures that every claim or transaction undergoes thorough scrutiny according to predefined rules and criteria, reducing the likelihood of oversight or missed red flags. By streamlining these processes, RPA enables insurers to allocate their human resources more effectively, focusing on complex cases that require human judgment or intervention.

Data Entry and Integration Create an Opportunity for the Global RPA in the Insurance Market

  • RPA technology can streamline and automate repetitive tasks such as data entry from various sources, including forms, emails, and documents. By deploying RPA bots, insurance companies can reduce manual errors, improve data accuracy, and accelerate the processing of policy applications, claims, and customer information.
  • Integration across disparate systems is another area where RPA can add substantial value. Insurance firms often deal with multiple legacy systems that are not compatible, leading to inefficiencies and data silos. RPA bots can bridge these systems by automating data transfer, synchronization, and validation processes. This enables seamless communication between different departments, enhances data visibility, and ensures consistency across the organization.
  • Moreover, RPA can facilitate real-time data updates and reconciliation, enabling insurance companies to make informed decisions promptly. By automating data entry and integration tasks, RPA empowers insurers to focus on high-value activities such as risk assessment, customer service, and strategic planning. Overall, RPA offers a transformative opportunity for insurers to enhance operational efficiency, reduce costs, and deliver superior services in an increasingly competitive market landscape.

Global RPA in Insurance Market Segment Analysis:

Global RPA in the Insurance Market is Segmented into Component, Deployment Mode, Enterprise Size and Application.

By Component, the Service segment is expected to dominate the market during the forecast period.

  • Insurance companies face a myriad of tasks ranging from claims processing and policy management to underwriting and customer service. The Service segment of RPA caters precisely to these needs by offering tailored solutions designed to automate repetitive tasks, minimize errors, and accelerate response times.
  • By leveraging RPA in the Service segment, insurers can achieve significant cost savings by reducing manual intervention, enhancing accuracy, and ensuring compliance with regulatory standards. Moreover, the scalability of RPA enables insurers to adapt to evolving market dynamics and effectively manage fluctuations in demand.
  • Additionally, the Service segment of RPA empowers insurance companies to deliver superior customer experiences by expediting claims processing, facilitating seamless communication, and personalizing services based on individual preferences.

By Deployment Mode, the On-Premise segment held the largest share of 57.03% in 2023.

  • Robotic Process Automation (RPA) within the insurance sector, the On-Premise deployment mode stands as a dominant force. This dominance is underpinned by several key factors that align closely with the specific needs and preferences of insurance companies.
  • The nature of sensitive data handling and regulatory compliance in the insurance industry often necessitates stringent security measures. On-Premise deployment provides a greater sense of control and security as it allows organizations to directly manage and safeguard their data within their own infrastructure.
  • Moreover, insurance operations often involve complex legacy systems and intricate processes that require customization and integration with existing IT infrastructure. On-Premise deployment offers a higher degree of flexibility and customization, enabling seamless integration with existing systems without the constraints imposed by cloud-based solutions.
  • Additionally, On-Premise deployment can be perceived as a more cost-effective option in the long term, particularly for large-scale insurance enterprises with substantial IT resources already in place. It eliminates recurring subscription fees associated with cloud-based solutions and offers greater predictability in terms of costs.

RPA in Insurance Market Regional Insights:

North America is Expected to Dominate the Market Over the Forecast Period

  • The North America 's insurance industry is characterized by its large market size, diverse product offerings, and stringent regulatory requirements, all of which make it ripe for automation solutions. RPA technologies offer insurers the means to automate repetitive tasks, such as claims processing, underwriting, policy administration, and customer service inquiries, thereby reducing costs, minimizing errors, and accelerating time-to-market.
  • Moreover, the increasing complexity of insurance products and the growing demand for personalized services necessitate advanced automation capabilities, which North American insurers are keen to adopt.

Global RPA in Insurance Market Top Key Players:

  • UiPath (USA)
  • Automation Anywhere (USA)
  • Blue Prism (UK)
  • Pegasystems (USA)
  • Kryon (Israel)
  • NICE (Israel)
  • WorkFusion (USA)
  • EdgeVerve Systems (India)
  • Thoughtonomy (UK)
  • Jacada (USA)
  • AntWorks (Singapore)
  • Softomotive (UK)
  • Kofax (USA)
  • BlackLine (USA)
  • Redwood Software (Netherlands)
  • HelpSystems (USA)
  • OpenConnect (USA)
  • Ephesoft (USA)
  • Genpact (USA)
  • ASG Technologies (USA), Other Active players

Key Industry Developments:

  • In November 2023 - Aspire Systems, a globally renowned technology services company, has partnered with BNF Bank on a transformation journey to implement Temenos digital banking solutions. The partnership help BNF Bank modernise its banking operations to stay competitive and relevant in the ever-evolving banking industry while providing exceptional banking experience to its customers.
  • In October 2023 - Aspire Systems, a leading global technology services firm specializing in digital transformation, is thrilled to announced its silver sponsorship of Guidewire Connections 2023, a premier event in the P&C insurance industry. The event is set to take place from November 12 to 15 at Gaylord Opryland Resort & Convention Center, in Nashville, Tennessee, and Aspire Systems is proud to be a key participant in this exciting gathering of insurance professionals.

Global RPA in Insurance Market

Base Year:

2023

Forecast Period:

2024- 2032

Historical Data:

2017 to 2023

Market Size in 2023:

USD 102.34 Mn.

Forecast Period 2024-32 CAGR:

16.7%

Market Size in  2032:

USD 181.82 Mn.

Segments Covered:

By Component

  • Solution
  • Service

By Deployment Mode

  • On-Premise
  • Cloud

By Enterprise Size

  • Large Enterprises
  • Small And Medium-Sized Enterprises

By Application

  • Claims Processing
  • Insurance Underwriting
  • Regulatory Compliance
  • Finance And Accounts

By Region

  • North America (U.S., Canada, Mexico)
  • Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
  • Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
  • Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New-Zealand, Rest of APAC)
  • Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
  • South America (Brazil, Argentina, Rest of SA)

Frequently Asked Questions

What would be the forecast period in the Global RPA in Insurance Market research report?

The forecast period in the Global RPA in Insurance Market research report is 2024- 2032.

Who are the key players in the Global RPA in Insurance Market?

UiPath (USA), Automation Anywhere (USA), Blue Prism (UK), Pegasystems (USA), Kryon (Israel), NICE (Israel), WorkFusion (USA), EdgeVerve Systems (India), Thoughtonomy (UK), Jacada (USA), AntWorks (Singapore), Softomotive (UK), Kofax (USA), BlackLine (USA), Redwood Software (Netherlands), HelpSystems (USA), OpenConnect (USA), Ephesoft (USA), Genpact (USA), ASG Technologies (USA) and Other Active Players.

What are the segments of the Global RPA in the Insurance Market?

Global RPA in Insurance Market Segmented because of Component, Deployment Mode, Enterprise Size and Application. By Component, the market is categorized into Solution, Service. By Deployment Mode, the market is categorized into On-Premise, Cloud. By Enterprise Size, the market is categorized into Large Enterprise, Small and Medium-sized Enterprises.By Application, the market is categorized into Claims Processing, Insurance Underwriting, Regulatory Compliance, Finance and Accounts.By region, it is analyzed across North America (U.S.; Canada; Mexico), Eastern Europe (Bulgaria; The Czech Republic; Hungary; Poland; Romania; Rest of Eastern Europe), Western Europe (Germany; UK; France; Netherlands; Italy; Russia; Spain; Rest of Western Europe), Asia-Pacific (China; India; Japan; Southeast Asia, etc.), South America (Brazil; Argentina, etc.), Middle East & Africa (Saudi Arabia; South Africa, etc.).

What is the Global RPA in Insurance Market?

Robotic Process Automation (RPA) is revolutionizing the insurance market by streamlining operations, enhancing customer experiences, and improving efficiency. In this dynamic sector, RPA offers significant advantages by automating repetitive tasks, reducing errors, and freeing up human resources for more strategic activities.

How big is the Global RPA in Insurance Market?

The RPA in Insurance market was worth USD 102.34 Million in 2023. As such, the forecast is that the market is expected to reach USD 181.82Million by 2032 with a CAGR of 16.7% over the period from 2024 to 2032.

Select Licence Type

Single User

US$ 3200

Corporate User

US$ 4500

Excel Datapack

US$ 1500

Yearly Membership/Subscription

Connect with our sales team

Why Pristine Intelligence LLP

100%

Customer
Satisfaction

24x7+

Availability - we are always
there when you need us

200+

Fortune 50 Companies trust
Pristine Intelligence LLP

80%

of our reports are exclusive
and first in the industry

100%

more data
and analysis

1000+

reports published
till date