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RPA in Insurance Market by Component, Deployment Mode, Enterprise Size, Application: Global Opportunity Analysis and Industry Forecast, 2021-2031

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    Report

  • 418 Pages
  • February 2023
  • Region: Global
  • Allied Market Research
  • ID: 5781804
Description Jump to:
RPA enables organizations to overcome legacy application silos by allowing them to integrate all the claims processing data from various sources. Systems can use Natural Language Processing(NPL) and Optical Character Recognition(OCR) to extract data & input, claim errors, and verify fraudulent claims by limiting human intervention in the insurance claims process. 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.

The use of RPA in insurance companies helps to achieve cost savings and efficiency in work by automating repetitive and manual tasks, such as data entry, policy processing, claims handling, and customer service. Therefore, such automation helps to free up employees to focus on higher-value activities, while RPA manages the time-consuming and repetitive tasks. Moreover, the use of RPA can improve the accuracy and consistency of data analysis, which can lead to more informed and effective business decisions. Thus, these are few of the factors that propel the growth of the RPA in insurance market. However, data security and privacy are major concerns in the implementation of RPA in the insurance industry. The insurance industry majorly deals with a significant amount of sensitive customer data, including personal information and financial details, which must be protected against unauthorized access and breaches. Therefore, such factors act as a restraint for the growth of the market. On the contrary, the reduced operational cost is an opportunity for RPA in the insurance market, as a greater number of insurers can adopt using RPA for claim settlements and other related work. In addition, by use of RPA in insurance leads to more accurate and speedy claim processing. Thus, such factors are likely to propel RPA in insurance market to new heights.

The RPA in insurance market is segmented on the basis of component, deployment mode, enterprise size, application, and region. By component, it is bifurcated into solution and service. By deployment mode, it is divided into on-premise and cloud. By enterprise size, it is classified into large enterprise and small & medium-sized enterprises. By application, it is categorized into claims processing, insurance underwriting, regulatory compliance, finance & accounts, and others. By region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The report analyzes the profiles of key players operating in RPA in insurance market such as Aspire Systems, Automation Anywhere, Inc., Dynpro, Fidel Technologies, Infosys Limited, Opteamix, Pegasystems, Inc., Royal Cyber Inc., UiPath, and Vuram. These players have adopted various strategies to increase their market penetration and strengthen their position in the RPA in insurance industry.

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

By Region

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Rest of Europe
  • Asia-Pacific
  • China
  • Japan
  • India
  • Australia
  • South Korea
  • Rest of Asia-Pacific
  • LAMEA
  • Latin America
  • Middle East
  • Africa

Key Market Players

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

 

Please note:

  • Online Access price format is valid for 60 days access. Printing is not enabled.
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Table of Contents

CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research Methodology
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO Perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.3. Porter’s five forces analysis
3.3.1. Bargaining power of suppliers
3.3.2. Bargaining power of buyers
3.3.3. Threat of substitutes
3.3.4. Threat of new entrants
3.3.5. Intensity of rivalry
3.4. Market dynamics
3.4.1. Drivers
3.4.1.1. Better decision-making through data analysis
3.4.1.2. Cost savings and efficiency improvement
3.4.1.3. Improved customer experience
3.4.2. Restraints
3.4.2.1. Implementation cost is high
3.4.2.2. Data security and privacy
3.4.3. Opportunities
3.4.3.1. Auto claim processing
3.5. COVID-19 Impact Analysis on the market
CHAPTER 4: RPA IN INSURANCE MARKET, BY COMPONENT
4.1. Overview
4.1.1. Market size and forecast
4.2. Solution
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market share analysis by country
4.3. Service
4.3.1. Key market trends, growth factors and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market share analysis by country
CHAPTER 5: RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE
5.1. Overview
5.1.1. Market size and forecast
5.2. On-Premise
5.2.1. Key market trends, growth factors and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market share analysis by country
5.3. Cloud
5.3.1. Key market trends, growth factors and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market share analysis by country
CHAPTER 6: RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE
6.1. Overview
6.1.1. Market size and forecast
6.2. Large Enterprise
6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market share analysis by country
6.3. Small and Medium-sized Enterprises
6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market share analysis by country
CHAPTER 7: RPA IN INSURANCE MARKET, BY APPLICATION
7.1. Overview
7.1.1. Market size and forecast
7.2. Claims Processing
7.2.1. Key market trends, growth factors and opportunities
7.2.2. Market size and forecast, by region
7.2.3. Market share analysis by country
7.3. Insurance Underwriting
7.3.1. Key market trends, growth factors and opportunities
7.3.2. Market size and forecast, by region
7.3.3. Market share analysis by country
7.4. Regulatory Compliance
7.4.1. Key market trends, growth factors and opportunities
7.4.2. Market size and forecast, by region
7.4.3. Market share analysis by country
7.5. Finance and Accounts
7.5.1. Key market trends, growth factors and opportunities
7.5.2. Market size and forecast, by region
7.5.3. Market share analysis by country
7.6. Others
7.6.1. Key market trends, growth factors and opportunities
7.6.2. Market size and forecast, by region
7.6.3. Market share analysis by country
CHAPTER 8: RPA IN INSURANCE MARKET, BY REGION
8.1. Overview
8.1.1. Market size and forecast By Region
8.2. North America
8.2.1. Key trends and opportunities
8.2.2. Market size and forecast, by Component
8.2.3. Market size and forecast, by Deployment Mode
8.2.4. Market size and forecast, by Enterprise Size
8.2.5. Market size and forecast, by Application
8.2.6. Market size and forecast, by country
8.2.6.1. U.S.
8.2.6.1.1. Key market trends, growth factors and opportunities
8.2.6.1.2. Market size and forecast, by Component
8.2.6.1.3. Market size and forecast, by Deployment Mode
8.2.6.1.4. Market size and forecast, by Enterprise Size
8.2.6.1.5. Market size and forecast, by Application
8.2.6.2. Canada
8.2.6.2.1. Key market trends, growth factors and opportunities
8.2.6.2.2. Market size and forecast, by Component
8.2.6.2.3. Market size and forecast, by Deployment Mode
8.2.6.2.4. Market size and forecast, by Enterprise Size
8.2.6.2.5. Market size and forecast, by Application
8.3. Europe
8.3.1. Key trends and opportunities
8.3.2. Market size and forecast, by Component
8.3.3. Market size and forecast, by Deployment Mode
8.3.4. Market size and forecast, by Enterprise Size
8.3.5. Market size and forecast, by Application
8.3.6. Market size and forecast, by country
8.3.6.1. UK
8.3.6.1.1. Key market trends, growth factors and opportunities
8.3.6.1.2. Market size and forecast, by Component
8.3.6.1.3. Market size and forecast, by Deployment Mode
8.3.6.1.4. Market size and forecast, by Enterprise Size
8.3.6.1.5. Market size and forecast, by Application
8.3.6.2. Germany
8.3.6.2.1. Key market trends, growth factors and opportunities
8.3.6.2.2. Market size and forecast, by Component
8.3.6.2.3. Market size and forecast, by Deployment Mode
8.3.6.2.4. Market size and forecast, by Enterprise Size
8.3.6.2.5. Market size and forecast, by Application
8.3.6.3. France
8.3.6.3.1. Key market trends, growth factors and opportunities
8.3.6.3.2. Market size and forecast, by Component
8.3.6.3.3. Market size and forecast, by Deployment Mode
8.3.6.3.4. Market size and forecast, by Enterprise Size
8.3.6.3.5. Market size and forecast, by Application
8.3.6.4. Italy
8.3.6.4.1. Key market trends, growth factors and opportunities
8.3.6.4.2. Market size and forecast, by Component
8.3.6.4.3. Market size and forecast, by Deployment Mode
8.3.6.4.4. Market size and forecast, by Enterprise Size
8.3.6.4.5. Market size and forecast, by Application
8.3.6.5. Spain
8.3.6.5.1. Key market trends, growth factors and opportunities
8.3.6.5.2. Market size and forecast, by Component
8.3.6.5.3. Market size and forecast, by Deployment Mode
8.3.6.5.4. Market size and forecast, by Enterprise Size
8.3.6.5.5. Market size and forecast, by Application
8.3.6.6. Rest of Europe
8.3.6.6.1. Key market trends, growth factors and opportunities
8.3.6.6.2. Market size and forecast, by Component
8.3.6.6.3. Market size and forecast, by Deployment Mode
8.3.6.6.4. Market size and forecast, by Enterprise Size
8.3.6.6.5. Market size and forecast, by Application
8.4. Asia-Pacific
8.4.1. Key trends and opportunities
8.4.2. Market size and forecast, by Component
8.4.3. Market size and forecast, by Deployment Mode
8.4.4. Market size and forecast, by Enterprise Size
8.4.5. Market size and forecast, by Application
8.4.6. Market size and forecast, by country
8.4.6.1. China
8.4.6.1.1. Key market trends, growth factors and opportunities
8.4.6.1.2. Market size and forecast, by Component
8.4.6.1.3. Market size and forecast, by Deployment Mode
8.4.6.1.4. Market size and forecast, by Enterprise Size
8.4.6.1.5. Market size and forecast, by Application
8.4.6.2. Japan
8.4.6.2.1. Key market trends, growth factors and opportunities
8.4.6.2.2. Market size and forecast, by Component
8.4.6.2.3. Market size and forecast, by Deployment Mode
8.4.6.2.4. Market size and forecast, by Enterprise Size
8.4.6.2.5. Market size and forecast, by Application
8.4.6.3. India
8.4.6.3.1. Key market trends, growth factors and opportunities
8.4.6.3.2. Market size and forecast, by Component
8.4.6.3.3. Market size and forecast, by Deployment Mode
8.4.6.3.4. Market size and forecast, by Enterprise Size
8.4.6.3.5. Market size and forecast, by Application
8.4.6.4. Australia
8.4.6.4.1. Key market trends, growth factors and opportunities
8.4.6.4.2. Market size and forecast, by Component
8.4.6.4.3. Market size and forecast, by Deployment Mode
8.4.6.4.4. Market size and forecast, by Enterprise Size
8.4.6.4.5. Market size and forecast, by Application
8.4.6.5. South Korea
8.4.6.5.1. Key market trends, growth factors and opportunities
8.4.6.5.2. Market size and forecast, by Component
8.4.6.5.3. Market size and forecast, by Deployment Mode
8.4.6.5.4. Market size and forecast, by Enterprise Size
8.4.6.5.5. Market size and forecast, by Application
8.4.6.6. Rest of Asia-Pacific
8.4.6.6.1. Key market trends, growth factors and opportunities
8.4.6.6.2. Market size and forecast, by Component
8.4.6.6.3. Market size and forecast, by Deployment Mode
8.4.6.6.4. Market size and forecast, by Enterprise Size
8.4.6.6.5. Market size and forecast, by Application
8.5. LAMEA
8.5.1. Key trends and opportunities
8.5.2. Market size and forecast, by Component
8.5.3. Market size and forecast, by Deployment Mode
8.5.4. Market size and forecast, by Enterprise Size
8.5.5. Market size and forecast, by Application
8.5.6. Market size and forecast, by country
8.5.6.1. Latin America
8.5.6.1.1. Key market trends, growth factors and opportunities
8.5.6.1.2. Market size and forecast, by Component
8.5.6.1.3. Market size and forecast, by Deployment Mode
8.5.6.1.4. Market size and forecast, by Enterprise Size
8.5.6.1.5. Market size and forecast, by Application
8.5.6.2. Middle East
8.5.6.2.1. Key market trends, growth factors and opportunities
8.5.6.2.2. Market size and forecast, by Component
8.5.6.2.3. Market size and forecast, by Deployment Mode
8.5.6.2.4. Market size and forecast, by Enterprise Size
8.5.6.2.5. Market size and forecast, by Application
8.5.6.3. Africa
8.5.6.3.1. Key market trends, growth factors and opportunities
8.5.6.3.2. Market size and forecast, by Component
8.5.6.3.3. Market size and forecast, by Deployment Mode
8.5.6.3.4. Market size and forecast, by Enterprise Size
8.5.6.3.5. Market size and forecast, by Application
CHAPTER 9: COMPETITIVE LANDSCAPE
9.1. Introduction
9.2. Top winning strategies
9.3. Product Mapping of Top 10 Player
9.4. Competitive Dashboard
9.5. Competitive Heatmap
9.6. Top player positioning, 2021
CHAPTER 10: COMPANY PROFILES
10.1. Aspire Systems
10.1.1. Company overview
10.1.2. Key Executives
10.1.3. Company snapshot
10.1.4. Operating business segments
10.1.5. Product portfolio
10.1.6. Key strategic moves and developments
10.2. Automation Anywhere, Inc.
10.2.1. Company overview
10.2.2. Key Executives
10.2.3. Company snapshot
10.2.4. Operating business segments
10.2.5. Product portfolio
10.2.6. Key strategic moves and developments
10.3. Dynpro
10.3.1. Company overview
10.3.2. Key Executives
10.3.3. Company snapshot
10.3.4. Operating business segments
10.3.5. Product portfolio
10.4. Fidel Technologies
10.4.1. Company overview
10.4.2. Key Executives
10.4.3. Company snapshot
10.4.4. Operating business segments
10.4.5. Product portfolio
10.5. Infosys Limited
10.5.1. Company overview
10.5.2. Key Executives
10.5.3. Company snapshot
10.5.4. Operating business segments
10.5.5. Product portfolio
10.5.6. Business performance
10.6. Opteamix
10.6.1. Company overview
10.6.2. Key Executives
10.6.3. Company snapshot
10.6.4. Operating business segments
10.6.5. Product portfolio
10.7. Pegasystems, Inc.
10.7.1. Company overview
10.7.2. Key Executives
10.7.3. Company snapshot
10.7.4. Operating business segments
10.7.5. Product portfolio
10.7.6. Key strategic moves and developments
10.8. Royal Cyber Inc.
10.8.1. Company overview
10.8.2. Key Executives
10.8.3. Company snapshot
10.8.4. Operating business segments
10.8.5. Product portfolio
10.9. UiPath
10.9.1. Company overview
10.9.2. Key Executives
10.9.3. Company snapshot
10.9.4. Operating business segments
10.9.5. Product portfolio
10.9.6. Business performance
10.10. Vuram
10.10.1. Company overview
10.10.2. Key Executives
10.10.3. Company snapshot
10.10.4. Operating business segments
10.10.5. Product portfolio
List of Tables
TABLE 01. GLOBAL RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 02. RPA IN INSURANCE MARKET FOR SOLUTION, BY REGION, 2021-2031 ($MILLION)
TABLE 03. RPA IN INSURANCE MARKET FOR SERVICE, BY REGION, 2021-2031 ($MILLION)
TABLE 04. GLOBAL RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 05. RPA IN INSURANCE MARKET FOR ON-PREMISE, BY REGION, 2021-2031 ($MILLION)
TABLE 06. RPA IN INSURANCE MARKET FOR CLOUD, BY REGION, 2021-2031 ($MILLION)
TABLE 07. GLOBAL RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 08. RPA IN INSURANCE MARKET FOR LARGE ENTERPRISE, BY REGION, 2021-2031 ($MILLION)
TABLE 09. RPA IN INSURANCE MARKET FOR SMALL AND MEDIUM-SIZED ENTERPRISES, BY REGION, 2021-2031 ($MILLION)
TABLE 10. GLOBAL RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 11. RPA IN INSURANCE MARKET FOR CLAIMS PROCESSING, BY REGION, 2021-2031 ($MILLION)
TABLE 12. RPA IN INSURANCE MARKET FOR INSURANCE UNDERWRITING, BY REGION, 2021-2031 ($MILLION)
TABLE 13. RPA IN INSURANCE MARKET FOR REGULATORY COMPLIANCE, BY REGION, 2021-2031 ($MILLION)
TABLE 14. RPA IN INSURANCE MARKET FOR FINANCE AND ACCOUNTS, BY REGION, 2021-2031 ($MILLION)
TABLE 15. RPA IN INSURANCE MARKET FOR OTHERS, BY REGION, 2021-2031 ($MILLION)
TABLE 16. RPA IN INSURANCE MARKET, BY REGION, 2021-2031 ($MILLION)
TABLE 17. NORTH AMERICA RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 18. NORTH AMERICA RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 19. NORTH AMERICA RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 20. NORTH AMERICA RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 21. NORTH AMERICA RPA IN INSURANCE MARKET, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 22. U.S. RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 23. U.S. RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 24. U.S. RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 25. U.S. RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 26. CANADA RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 27. CANADA RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 28. CANADA RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 29. CANADA RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 30. EUROPE RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 31. EUROPE RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 32. EUROPE RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 33. EUROPE RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 34. EUROPE RPA IN INSURANCE MARKET, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 35. UK RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 36. UK RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 37. UK RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 38. UK RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 39. GERMANY RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 40. GERMANY RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 41. GERMANY RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 42. GERMANY RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 43. FRANCE RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 44. FRANCE RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 45. FRANCE RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 46. FRANCE RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 47. ITALY RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 48. ITALY RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 49. ITALY RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 50. ITALY RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 51. SPAIN RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 52. SPAIN RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 53. SPAIN RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 54. SPAIN RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 55. REST OF EUROPE RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 56. REST OF EUROPE RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 57. REST OF EUROPE RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 58. REST OF EUROPE RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 59. ASIA-PACIFIC RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 60. ASIA-PACIFIC RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 61. ASIA-PACIFIC RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 62. ASIA-PACIFIC RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 63. ASIA-PACIFIC RPA IN INSURANCE MARKET, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 64. CHINA RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 65. CHINA RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 66. CHINA RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 67. CHINA RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 68. JAPAN RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 69. JAPAN RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 70. JAPAN RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 71. JAPAN RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 72. INDIA RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 73. INDIA RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 74. INDIA RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 75. INDIA RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 76. AUSTRALIA RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 77. AUSTRALIA RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 78. AUSTRALIA RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 79. AUSTRALIA RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 80. SOUTH KOREA RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 81. SOUTH KOREA RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 82. SOUTH KOREA RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 83. SOUTH KOREA RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 84. REST OF ASIA-PACIFIC RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 85. REST OF ASIA-PACIFIC RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 86. REST OF ASIA-PACIFIC RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 87. REST OF ASIA-PACIFIC RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 88. LAMEA RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 89. LAMEA RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 90. LAMEA RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 91. LAMEA RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 92. LAMEA RPA IN INSURANCE MARKET, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 93. LATIN AMERICA RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 94. LATIN AMERICA RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 95. LATIN AMERICA RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 96. LATIN AMERICA RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 97. MIDDLE EAST RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 98. MIDDLE EAST RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 99. MIDDLE EAST RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 100. MIDDLE EAST RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 101. AFRICA RPA IN INSURANCE MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 102. AFRICA RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021-2031 ($MILLION)
TABLE 103. AFRICA RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 104. AFRICA RPA IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 105. ASPIRE SYSTEMS: KEY EXECUTIVES
TABLE 106. ASPIRE SYSTEMS: COMPANY SNAPSHOT
TABLE 107. ASPIRE SYSTEMS: SERVICE SEGMENTS
TABLE 108. ASPIRE SYSTEMS: PRODUCT PORTFOLIO
TABLE 109. ASPIRE SYSTEMS: KEY STRATERGIES
TABLE 110. AUTOMATION ANYWHERE, INC.: KEY EXECUTIVES
TABLE 111. AUTOMATION ANYWHERE, INC.: COMPANY SNAPSHOT
TABLE 112. AUTOMATION ANYWHERE, INC.: SERVICE SEGMENTS
TABLE 113. AUTOMATION ANYWHERE, INC.: PRODUCT PORTFOLIO
TABLE 114. AUTOMATION ANYWHERE, INC.: KEY STRATERGIES
TABLE 115. DYNPRO: KEY EXECUTIVES
TABLE 116. DYNPRO: COMPANY SNAPSHOT
TABLE 117. DYNPRO: SERVICE SEGMENTS
TABLE 118. DYNPRO: PRODUCT PORTFOLIO
TABLE 119. FIDEL TECHNOLOGIES: KEY EXECUTIVES
TABLE 120. FIDEL TECHNOLOGIES: COMPANY SNAPSHOT
TABLE 121. FIDEL TECHNOLOGIES: SERVICE SEGMENTS
TABLE 122. FIDEL TECHNOLOGIES: PRODUCT PORTFOLIO
TABLE 123. INFOSYS LIMITED: KEY EXECUTIVES
TABLE 124. INFOSYS LIMITED: COMPANY SNAPSHOT
TABLE 125. INFOSYS LIMITED: SERVICE SEGMENTS
TABLE 126. INFOSYS LIMITED: PRODUCT PORTFOLIO
TABLE 127. OPTEAMIX: KEY EXECUTIVES
TABLE 128. OPTEAMIX: COMPANY SNAPSHOT
TABLE 129. OPTEAMIX: SERVICE SEGMENTS
TABLE 130. OPTEAMIX: PRODUCT PORTFOLIO
TABLE 131. PEGASYSTEMS, INC.: KEY EXECUTIVES
TABLE 132. PEGASYSTEMS, INC.: COMPANY SNAPSHOT
TABLE 133. PEGASYSTEMS, INC.: SERVICE SEGMENTS
TABLE 134. PEGASYSTEMS, INC.: PRODUCT PORTFOLIO
TABLE 135. PEGASYSTEMS, INC.: KEY STRATERGIES
TABLE 136. ROYAL CYBER INC.: KEY EXECUTIVES
TABLE 137. ROYAL CYBER INC.: COMPANY SNAPSHOT
TABLE 138. ROYAL CYBER INC.: SERVICE SEGMENTS
TABLE 139. ROYAL CYBER INC.: PRODUCT PORTFOLIO
TABLE 140. UIPATH: KEY EXECUTIVES
TABLE 141. UIPATH: COMPANY SNAPSHOT
TABLE 142. UIPATH: SERVICE SEGMENTS
TABLE 143. UIPATH: PRODUCT PORTFOLIO
TABLE 144. VURAM: KEY EXECUTIVES
TABLE 145. VURAM: COMPANY SNAPSHOT
TABLE 146. VURAM: SERVICE SEGMENTS
TABLE 147. VURAM: PRODUCT PORTFOLIO
List of Figures
FIGURE 01. RPA IN INSURANCE MARKET, 2021-2031
FIGURE 02. SEGMENTATION OF RPA IN INSURANCE MARKET, 2021-2031
FIGURE 03. TOP INVESTMENT POCKETS IN RPA IN INSURANCE MARKET (2022-2031)
FIGURE 04. MODERATE TO HIGH BARGAINING POWER OF SUPPLIERS
FIGURE 05. HIGH TO MODERATE BARGAINING POWER OF BUYERS
FIGURE 06. MODERATE TO THREAT OF SUBSTITUTES
FIGURE 07. MODERATE THREAT OF NEW ENTRANTS
FIGURE 08. MODERATE TO HIGH INTENSITY OF RIVALRY
FIGURE 09. DRIVERS, RESTRAINTS AND OPPORTUNITIES: GLOBALRPA IN INSURANCE MARKET
FIGURE 10. RPA IN INSURANCE MARKET, BY COMPONENT, 2021 (%)
FIGURE 11. COMPARATIVE SHARE ANALYSIS OF RPA IN INSURANCE MARKET FOR SOLUTION, BY COUNTRY 2021-2031 (%)
FIGURE 12. COMPARATIVE SHARE ANALYSIS OF RPA IN INSURANCE MARKET FOR SERVICE, BY COUNTRY 2021-2031 (%)
FIGURE 13. RPA IN INSURANCE MARKET, BY DEPLOYMENT MODE, 2021 (%)
FIGURE 14. COMPARATIVE SHARE ANALYSIS OF RPA IN INSURANCE MARKET FOR ON-PREMISE, BY COUNTRY 2021-2031 (%)
FIGURE 15. COMPARATIVE SHARE ANALYSIS OF RPA IN INSURANCE MARKET FOR CLOUD, BY COUNTRY 2021-2031 (%)
FIGURE 16. RPA IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021 (%)
FIGURE 17. COMPARATIVE SHARE ANALYSIS OF RPA IN INSURANCE MARKET FOR LARGE ENTERPRISE, BY COUNTRY 2021-2031 (%)
FIGURE 18. COMPARATIVE SHARE ANALYSIS OF RPA IN INSURANCE MARKET FOR SMALL AND MEDIUM-SIZED ENTERPRISES, BY COUNTRY 2021-2031 (%)
FIGURE 19. RPA IN INSURANCE MARKET, BY APPLICATION, 2021 (%)
FIGURE 20. COMPARATIVE SHARE ANALYSIS OF RPA IN INSURANCE MARKET FOR CLAIMS PROCESSING, BY COUNTRY 2021-2031 (%)
FIGURE 21. COMPARATIVE SHARE ANALYSIS OF RPA IN INSURANCE MARKET FOR INSURANCE UNDERWRITING, BY COUNTRY 2021-2031 (%)
FIGURE 22. COMPARATIVE SHARE ANALYSIS OF RPA IN INSURANCE MARKET FOR REGULATORY COMPLIANCE, BY COUNTRY 2021-2031 (%)
FIGURE 23. COMPARATIVE SHARE ANALYSIS OF RPA IN INSURANCE MARKET FOR FINANCE AND ACCOUNTS, BY COUNTRY 2021-2031 (%)
FIGURE 24. COMPARATIVE SHARE ANALYSIS OF RPA IN INSURANCE MARKET FOR OTHERS, BY COUNTRY 2021-2031 (%)
FIGURE 25. RPA IN INSURANCE MARKET BY REGION, 2021
FIGURE 26. U.S. RPA IN INSURANCE MARKET, 2021-2031 ($MILLION)
FIGURE 27. CANADA RPA IN INSURANCE MARKET, 2021-2031 ($MILLION)
FIGURE 28. UK RPA IN INSURANCE MARKET, 2021-2031 ($MILLION)
FIGURE 29. GERMANY RPA IN INSURANCE MARKET, 2021-2031 ($MILLION)
FIGURE 30. FRANCE RPA IN INSURANCE MARKET, 2021-2031 ($MILLION)
FIGURE 31. ITALY RPA IN INSURANCE MARKET, 2021-2031 ($MILLION)
FIGURE 32. SPAIN RPA IN INSURANCE MARKET, 2021-2031 ($MILLION)
FIGURE 33. REST OF EUROPE RPA IN INSURANCE MARKET, 2021-2031 ($MILLION)
FIGURE 34. CHINA RPA IN INSURANCE MARKET, 2021-2031 ($MILLION)
FIGURE 35. JAPAN RPA IN INSURANCE MARKET, 2021-2031 ($MILLION)
FIGURE 36. INDIA RPA IN INSURANCE MARKET, 2021-2031 ($MILLION)
FIGURE 37. AUSTRALIA RPA IN INSURANCE MARKET, 2021-2031 ($MILLION)
FIGURE 38. SOUTH KOREA RPA IN INSURANCE MARKET, 2021-2031 ($MILLION)
FIGURE 39. REST OF ASIA-PACIFIC RPA IN INSURANCE MARKET, 2021-2031 ($MILLION)
FIGURE 40. LATIN AMERICA RPA IN INSURANCE MARKET, 2021-2031 ($MILLION)
FIGURE 41. MIDDLE EAST RPA IN INSURANCE MARKET, 2021-2031 ($MILLION)
FIGURE 42. AFRICA RPA IN INSURANCE MARKET, 2021-2031 ($MILLION)
FIGURE 43. TOP WINNING STRATEGIES, BY YEAR
FIGURE 44. TOP WINNING STRATEGIES, BY DEVELOPMENT
FIGURE 45. TOP WINNING STRATEGIES, BY COMPANY
FIGURE 46. PRODUCT MAPPING OF TOP 10 PLAYERS
FIGURE 47. COMPETITIVE DASHBOARD
FIGURE 48. COMPETITIVE HEATMAP: RPA IN INSURANCE MARKET
FIGURE 49. TOP PLAYER POSITIONING, 2021
FIGURE 50. INFOSYS LIMITED: NET REVENUE, 2019-2021 ($MILLION)
FIGURE 51. INFOSYS LIMITED: REVENUE SHARE BY SEGMENT, 2021 (%)
FIGURE 52. INFOSYS LIMITED: REVENUE SHARE BY REGION, 2021 (%)
FIGURE 53. UIPATH: NET REVENUE, 2020-2022 ($MILLION)
FIGURE 54. UIPATH: REVENUE SHARE BY REGION, 2022 (%)

Executive Summary

According to the report titled, “RPA in Insurance Market," 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.

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.

The RPA in insurance market is segmented on the basis of component, deployment mode, enterprise size, application and region. Based on component, it is segmented into solution and service. By deployment mode, it is segmented into on-premise and cloud. By enterprise size, it is segmented into large enterprise and small and medium-sized enterprises. By application, it is segmented into claims processing, insurance underwriting, regulatory compliance, finance and accounts, and others. By region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The report analyzes the profiles of key players operating in the RPA in insurance market such as Aspire Systems, Automation Anywhere, Inc., Dynpro, Fidel Technologies, Infosys Limited, Opteamix, Pegasystems, Inc., Royal Cyber Inc., UiPath and Vuram. These players have adopted various strategies to increase their market penetration and strengthen their position in the RPA in insurance industry.

Key Market Insights

  • By component, the solution segment led the RPA in insurance market in terms of revenue in 2021.
  • By deployment mode, the on-premise segment accounted for the highest RPA in insurance market share in 2021.
  • By enterprise size, the large enterprise segment accounted for the highest RPA in insurance market share in 2021.
  • By application, the claims processing segment accounted for the highest RPA in insurance market share in 2021.
  • By region, North America generated the highest revenue in 2021.

Companies Mentioned

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

Methodology

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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