Global Insurance Quoting Software- Market

Insurance Quoting Software- Comprehensive Study by Type (Commercial PandC Insurance, Personal PandC Insurance, Health and Medical Insurance, Life and Accident Insurance, Insurance Administration and Risk Consulting, Annuities), Deployment Mode (Cloud-Based, On-Premise), End-users (Travel, Agriculture, Financial, Manufacturing, Transport, Others) Players and Region - Global Market Outlook to 2030

Insurance Quoting Software- Market by XX Submarkets | Forecast Years 2024-2030 | CAGR: 9.7%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Insurance Quoting Software-
Insurance quoting software program is a kind of insurance plan that protects you in opposition to economic loss. It's a kind of threat administration it really is normally utilised to shield in opposition to the risk of a speculative or unpredictable loss. An insurer, an insurance plan company, an insurance plan carrier, or an underwriter is a organization that sells insurance. A policyholder is a individual or entity who purchases insurance, whilst an insured is a character or entity who is blanketed with the aid of the policy. Although policyholder and insured are often used interchangeably, insurance can once in a while prolong to different insureds who did no longer buy the insurance. Its aim is to reduce monetary danger and make accidental loss extra tolerable. Last year, over 1/2 of all adults in the United States shopped for lifestyles insurance, and one-third sold or tried to purchase a coverage online. Customers desire existence insurance plan quotations, which can be given via state-of-the-art software program modules. It accomplishes this by means of paying a expert insurer a small, predictable fee—an insurance plan premium—in trade for the assumption of the threat of a extensive loss and a warranty to pay in the case of such a loss.

AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Million)
CAGR9.7%


The global market is highly competitive and consists of a limited number of providers who compete with each other. The intense competition, changing consumer spending patterns, demographic trends, and frequent changes in consumer preferences pose significant opportunities for market growth. Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global Insurance Quoting Software- market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

Vertafore (United States), Applied Systems (United States), EZLynx (United States), ACS (United States), ITC (India), HawkSoft (United States), QQ Solutions (United States), Sapiens/Maximum Processing (United States), Agency Matrix (United States) and Buckhill (England) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are Benefitter (United States), Custom Soft (United States) and ProspectZone (United States).

Segmentation Overview
AMA Research has segmented the market of Global Insurance Quoting Software- market by Type (Commercial PandC Insurance, Personal PandC Insurance, Health and Medical Insurance, Life and Accident Insurance, Insurance Administration and Risk Consulting and Annuities) and Region.



On the basis of geography, the market of Insurance Quoting Software- has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Deployment Mode, the sub-segment i.e. Cloud-Based will boost the Insurance Quoting Software- market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by End-users, the sub-segment i.e. Travel will boost the Insurance Quoting Software- market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Next-level automation and Distributed infrastructure

Market Growth Drivers:
Increasing use of insurance quoting software in automobiles industry, life insurance and many other industries

Challenges:
Fluctuations in supply and demand share due to enforcement of stringent lockdown measures and Lack of skilled workforce

Restraints:
Hazardous with the policy

Opportunities:
Growing urbanization and population, disposable incomes, and rise in the standard of living

Market Leaders and their expansionary development strategies
In May 2019, Vertafore announced the acquisition of VUE Software to enhanced its Sircon Solutions and create a powerful insurer distribution management platform in the industry. The company is the leading provider of insurance provider compliance and distribution management software.
In 2021, Vertafore ®, the leader in modern insurance technology, today announced new additions to its Orange Partner Program to offer customers more tools to manage their agency operations and improve their client digital engagement.


Key Target Audience
Developer, Venture Capitalists, Government Bodies, Corporate Entities, Government and Private Research Organizations and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Type
  • Commercial PandC Insurance
  • Personal PandC Insurance
  • Health and Medical Insurance
  • Life and Accident Insurance
  • Insurance Administration and Risk Consulting
  • Annuities
By Deployment Mode
  • Cloud-Based
  • On-Premise

By End-users
  • Travel
  • Agriculture
  • Financial
  • Manufacturing
  • Transport
  • Others

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Increasing use of insurance quoting software in automobiles industry, life insurance and many other industries
    • 3.3. Market Challenges
      • 3.3.1. Fluctuations in supply and demand share due to enforcement of stringent lockdown measures
      • 3.3.2. Lack of skilled workforce
    • 3.4. Market Trends
      • 3.4.1. Next-level automation
      • 3.4.2. Distributed infrastructure
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Insurance Quoting Software-, by Type, Deployment Mode, End-users and Region (value) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Insurance Quoting Software- (Value)
      • 5.2.1. Global Insurance Quoting Software- by: Type (Value)
        • 5.2.1.1. Commercial PandC Insurance
        • 5.2.1.2. Personal PandC Insurance
        • 5.2.1.3. Health and Medical Insurance
        • 5.2.1.4. Life and Accident Insurance
        • 5.2.1.5. Insurance Administration and Risk Consulting
        • 5.2.1.6. Annuities
      • 5.2.2. Global Insurance Quoting Software- by: Deployment Mode (Value)
        • 5.2.2.1. Cloud-Based
        • 5.2.2.2. On-Premise
      • 5.2.3. Global Insurance Quoting Software- by: End-users (Value)
        • 5.2.3.1. Travel
        • 5.2.3.2. Agriculture
        • 5.2.3.3. Financial
        • 5.2.3.4. Manufacturing
        • 5.2.3.5. Transport
        • 5.2.3.6. Others
      • 5.2.4. Global Insurance Quoting Software- Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. Insurance Quoting Software-: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2023)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Vertafore (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Applied Systems (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. EZLynx (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. ACS (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. ITC (India)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. HawkSoft (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. QQ Solutions (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Sapiens/Maximum Processing (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Agency Matrix (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Buckhill (England)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Insurance Quoting Software- Sale, by Type, Deployment Mode, End-users and Region (value) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Insurance Quoting Software- (Value)
      • 7.2.1. Global Insurance Quoting Software- by: Type (Value)
        • 7.2.1.1. Commercial PandC Insurance
        • 7.2.1.2. Personal PandC Insurance
        • 7.2.1.3. Health and Medical Insurance
        • 7.2.1.4. Life and Accident Insurance
        • 7.2.1.5. Insurance Administration and Risk Consulting
        • 7.2.1.6. Annuities
      • 7.2.2. Global Insurance Quoting Software- by: Deployment Mode (Value)
        • 7.2.2.1. Cloud-Based
        • 7.2.2.2. On-Premise
      • 7.2.3. Global Insurance Quoting Software- by: End-users (Value)
        • 7.2.3.1. Travel
        • 7.2.3.2. Agriculture
        • 7.2.3.3. Financial
        • 7.2.3.4. Manufacturing
        • 7.2.3.5. Transport
        • 7.2.3.6. Others
      • 7.2.4. Global Insurance Quoting Software- Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Insurance Quoting Software-: by Type(USD Million)
  • Table 2. Insurance Quoting Software- Commercial PandC Insurance , by Region USD Million (2018-2023)
  • Table 3. Insurance Quoting Software- Personal PandC Insurance , by Region USD Million (2018-2023)
  • Table 4. Insurance Quoting Software- Health and Medical Insurance , by Region USD Million (2018-2023)
  • Table 5. Insurance Quoting Software- Life and Accident Insurance , by Region USD Million (2018-2023)
  • Table 6. Insurance Quoting Software- Insurance Administration and Risk Consulting , by Region USD Million (2018-2023)
  • Table 7. Insurance Quoting Software- Annuities , by Region USD Million (2018-2023)
  • Table 8. Insurance Quoting Software-: by Deployment Mode(USD Million)
  • Table 9. Insurance Quoting Software- Cloud-Based , by Region USD Million (2018-2023)
  • Table 10. Insurance Quoting Software- On-Premise , by Region USD Million (2018-2023)
  • Table 11. Insurance Quoting Software-: by End-users(USD Million)
  • Table 12. Insurance Quoting Software- Travel , by Region USD Million (2018-2023)
  • Table 13. Insurance Quoting Software- Agriculture , by Region USD Million (2018-2023)
  • Table 14. Insurance Quoting Software- Financial , by Region USD Million (2018-2023)
  • Table 15. Insurance Quoting Software- Manufacturing , by Region USD Million (2018-2023)
  • Table 16. Insurance Quoting Software- Transport , by Region USD Million (2018-2023)
  • Table 17. Insurance Quoting Software- Others , by Region USD Million (2018-2023)
  • Table 18. South America Insurance Quoting Software-, by Country USD Million (2018-2023)
  • Table 19. South America Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 20. South America Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 21. South America Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 22. Brazil Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 23. Brazil Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 24. Brazil Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 25. Argentina Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 26. Argentina Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 27. Argentina Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 28. Rest of South America Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 29. Rest of South America Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 30. Rest of South America Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 31. Asia Pacific Insurance Quoting Software-, by Country USD Million (2018-2023)
  • Table 32. Asia Pacific Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 33. Asia Pacific Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 34. Asia Pacific Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 35. China Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 36. China Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 37. China Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 38. Japan Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 39. Japan Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 40. Japan Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 41. India Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 42. India Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 43. India Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 44. South Korea Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 45. South Korea Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 46. South Korea Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 47. Taiwan Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 48. Taiwan Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 49. Taiwan Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 50. Australia Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 51. Australia Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 52. Australia Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 53. Rest of Asia-Pacific Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 54. Rest of Asia-Pacific Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 55. Rest of Asia-Pacific Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 56. Europe Insurance Quoting Software-, by Country USD Million (2018-2023)
  • Table 57. Europe Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 58. Europe Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 59. Europe Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 60. Germany Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 61. Germany Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 62. Germany Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 63. France Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 64. France Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 65. France Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 66. Italy Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 67. Italy Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 68. Italy Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 69. United Kingdom Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 70. United Kingdom Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 71. United Kingdom Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 72. Netherlands Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 73. Netherlands Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 74. Netherlands Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 75. Rest of Europe Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 76. Rest of Europe Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 77. Rest of Europe Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 78. MEA Insurance Quoting Software-, by Country USD Million (2018-2023)
  • Table 79. MEA Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 80. MEA Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 81. MEA Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 82. Middle East Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 83. Middle East Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 84. Middle East Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 85. Africa Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 86. Africa Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 87. Africa Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 88. North America Insurance Quoting Software-, by Country USD Million (2018-2023)
  • Table 89. North America Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 90. North America Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 91. North America Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 92. United States Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 93. United States Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 94. United States Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 95. Canada Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 96. Canada Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 97. Canada Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 98. Mexico Insurance Quoting Software-, by Type USD Million (2018-2023)
  • Table 99. Mexico Insurance Quoting Software-, by Deployment Mode USD Million (2018-2023)
  • Table 100. Mexico Insurance Quoting Software-, by End-users USD Million (2018-2023)
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Company Basic Information, Sales Area and Its Competitors
  • Table 110. Company Basic Information, Sales Area and Its Competitors
  • Table 111. Insurance Quoting Software-: by Type(USD Million)
  • Table 112. Insurance Quoting Software- Commercial PandC Insurance , by Region USD Million (2025-2030)
  • Table 113. Insurance Quoting Software- Personal PandC Insurance , by Region USD Million (2025-2030)
  • Table 114. Insurance Quoting Software- Health and Medical Insurance , by Region USD Million (2025-2030)
  • Table 115. Insurance Quoting Software- Life and Accident Insurance , by Region USD Million (2025-2030)
  • Table 116. Insurance Quoting Software- Insurance Administration and Risk Consulting , by Region USD Million (2025-2030)
  • Table 117. Insurance Quoting Software- Annuities , by Region USD Million (2025-2030)
  • Table 118. Insurance Quoting Software-: by Deployment Mode(USD Million)
  • Table 119. Insurance Quoting Software- Cloud-Based , by Region USD Million (2025-2030)
  • Table 120. Insurance Quoting Software- On-Premise , by Region USD Million (2025-2030)
  • Table 121. Insurance Quoting Software-: by End-users(USD Million)
  • Table 122. Insurance Quoting Software- Travel , by Region USD Million (2025-2030)
  • Table 123. Insurance Quoting Software- Agriculture , by Region USD Million (2025-2030)
  • Table 124. Insurance Quoting Software- Financial , by Region USD Million (2025-2030)
  • Table 125. Insurance Quoting Software- Manufacturing , by Region USD Million (2025-2030)
  • Table 126. Insurance Quoting Software- Transport , by Region USD Million (2025-2030)
  • Table 127. Insurance Quoting Software- Others , by Region USD Million (2025-2030)
  • Table 128. South America Insurance Quoting Software-, by Country USD Million (2025-2030)
  • Table 129. South America Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 130. South America Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 131. South America Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 132. Brazil Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 133. Brazil Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 134. Brazil Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 135. Argentina Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 136. Argentina Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 137. Argentina Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 138. Rest of South America Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 139. Rest of South America Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 140. Rest of South America Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 141. Asia Pacific Insurance Quoting Software-, by Country USD Million (2025-2030)
  • Table 142. Asia Pacific Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 143. Asia Pacific Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 144. Asia Pacific Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 145. China Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 146. China Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 147. China Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 148. Japan Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 149. Japan Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 150. Japan Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 151. India Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 152. India Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 153. India Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 154. South Korea Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 155. South Korea Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 156. South Korea Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 157. Taiwan Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 158. Taiwan Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 159. Taiwan Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 160. Australia Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 161. Australia Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 162. Australia Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 163. Rest of Asia-Pacific Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 164. Rest of Asia-Pacific Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 165. Rest of Asia-Pacific Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 166. Europe Insurance Quoting Software-, by Country USD Million (2025-2030)
  • Table 167. Europe Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 168. Europe Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 169. Europe Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 170. Germany Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 171. Germany Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 172. Germany Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 173. France Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 174. France Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 175. France Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 176. Italy Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 177. Italy Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 178. Italy Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 179. United Kingdom Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 180. United Kingdom Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 181. United Kingdom Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 182. Netherlands Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 183. Netherlands Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 184. Netherlands Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 185. Rest of Europe Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 186. Rest of Europe Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 187. Rest of Europe Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 188. MEA Insurance Quoting Software-, by Country USD Million (2025-2030)
  • Table 189. MEA Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 190. MEA Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 191. MEA Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 192. Middle East Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 193. Middle East Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 194. Middle East Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 195. Africa Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 196. Africa Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 197. Africa Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 198. North America Insurance Quoting Software-, by Country USD Million (2025-2030)
  • Table 199. North America Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 200. North America Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 201. North America Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 202. United States Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 203. United States Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 204. United States Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 205. Canada Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 206. Canada Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 207. Canada Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 208. Mexico Insurance Quoting Software-, by Type USD Million (2025-2030)
  • Table 209. Mexico Insurance Quoting Software-, by Deployment Mode USD Million (2025-2030)
  • Table 210. Mexico Insurance Quoting Software-, by End-users USD Million (2025-2030)
  • Table 211. Research Programs/Design for This Report
  • Table 212. Key Data Information from Secondary Sources
  • Table 213. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Insurance Quoting Software-: by Type USD Million (2018-2023)
  • Figure 5. Global Insurance Quoting Software-: by Deployment Mode USD Million (2018-2023)
  • Figure 6. Global Insurance Quoting Software-: by End-users USD Million (2018-2023)
  • Figure 7. South America Insurance Quoting Software- Share (%), by Country
  • Figure 8. Asia Pacific Insurance Quoting Software- Share (%), by Country
  • Figure 9. Europe Insurance Quoting Software- Share (%), by Country
  • Figure 10. MEA Insurance Quoting Software- Share (%), by Country
  • Figure 11. North America Insurance Quoting Software- Share (%), by Country
  • Figure 12. Global Insurance Quoting Software- share by Players 2023 (%)
  • Figure 13. Global Insurance Quoting Software- share by Players (Top 3) 2023(%)
  • Figure 14. Global Insurance Quoting Software- share by Players (Top 5) 2023(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Vertafore (United States) Revenue, Net Income and Gross profit
  • Figure 17. Vertafore (United States) Revenue: by Geography 2023
  • Figure 18. Applied Systems (United States) Revenue, Net Income and Gross profit
  • Figure 19. Applied Systems (United States) Revenue: by Geography 2023
  • Figure 20. EZLynx (United States) Revenue, Net Income and Gross profit
  • Figure 21. EZLynx (United States) Revenue: by Geography 2023
  • Figure 22. ACS (United States) Revenue, Net Income and Gross profit
  • Figure 23. ACS (United States) Revenue: by Geography 2023
  • Figure 24. ITC (India) Revenue, Net Income and Gross profit
  • Figure 25. ITC (India) Revenue: by Geography 2023
  • Figure 26. HawkSoft (United States) Revenue, Net Income and Gross profit
  • Figure 27. HawkSoft (United States) Revenue: by Geography 2023
  • Figure 28. QQ Solutions (United States) Revenue, Net Income and Gross profit
  • Figure 29. QQ Solutions (United States) Revenue: by Geography 2023
  • Figure 30. Sapiens/Maximum Processing (United States) Revenue, Net Income and Gross profit
  • Figure 31. Sapiens/Maximum Processing (United States) Revenue: by Geography 2023
  • Figure 32. Agency Matrix (United States) Revenue, Net Income and Gross profit
  • Figure 33. Agency Matrix (United States) Revenue: by Geography 2023
  • Figure 34. Buckhill (England) Revenue, Net Income and Gross profit
  • Figure 35. Buckhill (England) Revenue: by Geography 2023
  • Figure 36. Global Insurance Quoting Software-: by Type USD Million (2025-2030)
  • Figure 37. Global Insurance Quoting Software-: by Deployment Mode USD Million (2025-2030)
  • Figure 38. Global Insurance Quoting Software-: by End-users USD Million (2025-2030)
  • Figure 39. South America Insurance Quoting Software- Share (%), by Country
  • Figure 40. Asia Pacific Insurance Quoting Software- Share (%), by Country
  • Figure 41. Europe Insurance Quoting Software- Share (%), by Country
  • Figure 42. MEA Insurance Quoting Software- Share (%), by Country
  • Figure 43. North America Insurance Quoting Software- Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Vertafore (United States)
  • Applied Systems (United States)
  • EZLynx (United States)
  • ACS (United States)
  • ITC (India)
  • HawkSoft (United States)
  • QQ Solutions (United States)
  • Sapiens/Maximum Processing (United States)
  • Agency Matrix (United States)
  • Buckhill (England)
Additional players considered in the study are as follows:
Benefitter (United States) , Custom Soft (United States) , ProspectZone (United States)
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Key Highlights of Report


Apr 2024 216 Pages 50 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global Insurance Quoting Software- Market Quantitative research analysis
Global Insurance Quoting Software- Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as Vertafore (United States), Applied Systems (United States), EZLynx (United States), ACS (United States), ITC (India), HawkSoft (United States), QQ Solutions (United States), Sapiens/Maximum Processing (United States), Agency Matrix (United States) and Buckhill (England) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Next-level automation " is seen as one of major influencing trends for Insurance Quoting Software- Market during projected period 2023-2030.
The Insurance Quoting Software- market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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