RPA in Insurance Market 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,
Description
RPA in Insurance Market 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): Global Opportunity Analysis and Industry Forecast, 2021-2031
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: It will take 7-10 business days to complete the report upon order confirmation.
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: It will take 7-10 business days to complete the report upon order confirmation.
Table of Contents
418 Pages
- 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 (%)
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