Global Whole Life Insurance

Whole Life Insurance Comprehensive Study by Type (Non-participating Whole Life, Participating Whole Life), End Users (Personal/Family, Business), Sales Channel (Agents, Brokers, Bancassurance, Digital & Direct Channels) Players and Region - Global Market Outlook to 2028

Whole Life Insurance Market by XX Submarkets | Forecast Years 2023-2028 | CAGR: 2.49%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Whole life insurance guarantees the death benefit payments to the beneficiaries in exchange for regular due payments. Also, the policy includes a savings part (referred to as Cash Value) along with a death benefit. In the savings component, interests can be accumulated depending upon a tax-deferred basis. Therefore the cash value is always growing depending upon the interest rates. In order to build the cash value, the policyholders can remit the payments more than scheduled premium payments. Moreover, the dividends got from the insurance company can also be reinvested into the cash value in order to earn more profit or money value. The global whole life insurance market was estimated to be around USD 153,916 million in 2019, according to the AMA study.

AttributesDetails
Study Period2018-2028
Base Year2022
High Growth MarketAsia Pacific
UnitValue (USD Million)
Key Companies ProfiledAllianz (Germany), AXA (France), Nippon Life Insurance (Japan), American Intl. Group (United States), Aviva (United Kingdom), Assicurazioni Generali (Italy), State Farm Insurance (United States), Dai-ichi Mutual Life Insurance (Japan), Munich Re Group (Germany), Zurich Financial Services (Switzerland), Prudential (United States), Asahi Mutual Life Insurance (Japan), Sumitomo Life Insurance (Japan), Aegon (Netherlands), MetLife (United States), Swiss Reinsurance (Switzerland), CNP Assurances ( France), Meiji Yasuda Life Insurance Company (Japan) and Standard Life Assurance (United Kingdom)


According to AMA, the market for Whole Life Insurance is expected to register a CAGR of 2.49% during the forecast period to 2028. This growth is primarily driven by The Rising Incidences of Natural Disasters such as Flood, Tornado, & Earthquake and Upusurging Adoption of Personal Lines Insurance to Secure Financial Losses.

Globally, a noticeable market trend is evident The Rising Popularity of Online Distribution Channel The Life & Health Insurance sector in the North America region has been increasing at a sustainable rate, and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as Allianz (Germany), AXA (France), Nippon Life Insurance (Japan), American Intl. Group (United States), Aviva (United Kingdom), Assicurazioni Generali (Italy), State Farm Insurance (United States), Dai-ichi Mutual Life Insurance (Japan), Munich Re Group (Germany), Zurich Financial Services (Switzerland), Prudential (United States), Asahi Mutual Life Insurance (Japan), Sumitomo Life Insurance (Japan), Aegon (Netherlands), MetLife (United States), Swiss Reinsurance (Switzerland), CNP Assurances ( France), Meiji Yasuda Life Insurance Company (Japan) and Standard Life Assurance (United Kingdom), etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years. The companies operating in this industry are focusing more on efficient growth, improvement of operational efficiency and productivity, achieving high safety standards, and focus on maintaining sustainable development. The players are focusing on securing a leading position in this industry. They are continuously looking for the opportunity to reinforce their competitive advantage. To meet a high market share, and developing a socially responsible business company is identifying various strategic pillars such as mergers & acquisitions, new product launch, product enhancement, and others.

In April 2019, Aegon Life and MobiKwik launched a smart digital insurance product which is beneficial in providing lightning-fast, fully digital in-app purchase flow on its App for this new smart insurance product. It also offers innovative and need-based insurance solutions to everyone via the online channel.

Regulatory Insights:
“According to Insurance Regulatory and Development Authority of India, it provides some basic guidelines where it’s mention about the cost of issuing and maintaining insurance policies and modify or revise your insurance policies with speed and accuracy insurance repositories and electronic issuance of insurance policies.”

Influencing Trend:
The Rising Popularity of Online Distribution Channel

Market Growth Drivers:
The Rising Incidences of Natural Disasters such as Flood, Tornado, & Earthquake and Upusurging Adoption of Personal Lines Insurance to Secure Financial Losses

Challenges:
Limitation Due to Government Regulation is Anticipated to Challenge the Market

Restraints:
Lack of Awareness Among the Customers.

Opportunities:
Proliferation Due to Long Term Value Creation And Productivity Improvements Leads to Grow the Market. and Increase Lifestyles and Health Concerns

AMA Research follows a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcases the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyze the products and services offered by multiple players competing to increase their market share and presence.

Customization in the Report
AMA Research features not only specific market forecasts but also includes significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints in Whole Life Insurance Market
- Analysis about New Entrants in Whole Life Insurance Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis
- An Unbiased Perspective towards Market Performance & Indicators

Against this Challenging Backdrop, Whole Life Insurance Study Sheds Light on
— The Whole Life Insurance Market status quo and key characteristics. To end this, Analysts at AMA organize and took surveys of the Whole Life Insurance industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Whole Life Insurance industry is heading and what are the top priorities. Insights are drawn from financial analysis, surveys, and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold the value they currently claim or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • Non-participating Whole Life
  • Participating Whole Life
By End Users
  • Personal/Family
  • Business

By Sales Channel
  • Agents
  • Brokers
  • Bancassurance
  • Digital & Direct Channels

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. The Rising Incidences of Natural Disasters such as Flood, Tornado, & Earthquake
      • 3.2.2. Upusurging Adoption of Personal Lines Insurance to Secure Financial Losses
    • 3.3. Market Challenges
      • 3.3.1. Limitation Due to Government Regulation is Anticipated to Challenge the Market
    • 3.4. Market Trends
      • 3.4.1. The Rising Popularity of Online Distribution Channel
  • 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 Whole Life Insurance, by Type, End Users, Sales Channel and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Whole Life Insurance (Value)
      • 5.2.1. Global Whole Life Insurance by: Type (Value)
        • 5.2.1.1. Non-participating Whole Life
        • 5.2.1.2. Participating Whole Life
      • 5.2.2. Global Whole Life Insurance by: End Users (Value)
        • 5.2.2.1. Personal/Family
        • 5.2.2.2. Business
      • 5.2.3. Global Whole Life Insurance by: Sales Channel (Value)
        • 5.2.3.1. Agents
        • 5.2.3.2. Brokers
        • 5.2.3.3. Bancassurance
        • 5.2.3.4. Digital & Direct Channels
      • 5.2.4. Global Whole Life Insurance 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
    • 5.3. Global Whole Life Insurance (Price)
      • 5.3.1. Global Whole Life Insurance by: Type (Price)
  • 6. Whole Life Insurance: 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 (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Allianz (Germany)
        • 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. AXA (France)
        • 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. Nippon Life Insurance (Japan)
        • 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. American Intl. Group (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. Aviva (United Kingdom)
        • 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. Assicurazioni Generali (Italy)
        • 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. State Farm Insurance (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. Dai-ichi Mutual Life Insurance (Japan)
        • 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. Munich Re Group (Germany)
        • 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. Zurich Financial Services (Switzerland)
        • 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
      • 6.4.11. Prudential (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Asahi Mutual Life Insurance (Japan)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Sumitomo Life Insurance (Japan)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. Aegon (Netherlands)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. MetLife (United States)
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
      • 6.4.16. Swiss Reinsurance (Switzerland)
        • 6.4.16.1. Business Overview
        • 6.4.16.2. Products/Services Offerings
        • 6.4.16.3. Financial Analysis
        • 6.4.16.4. SWOT Analysis
      • 6.4.17. CNP Assurances ( France)
        • 6.4.17.1. Business Overview
        • 6.4.17.2. Products/Services Offerings
        • 6.4.17.3. Financial Analysis
        • 6.4.17.4. SWOT Analysis
      • 6.4.18. Meiji Yasuda Life Insurance Company (Japan)
        • 6.4.18.1. Business Overview
        • 6.4.18.2. Products/Services Offerings
        • 6.4.18.3. Financial Analysis
        • 6.4.18.4. SWOT Analysis
      • 6.4.19. Standard Life Assurance (United Kingdom)
        • 6.4.19.1. Business Overview
        • 6.4.19.2. Products/Services Offerings
        • 6.4.19.3. Financial Analysis
        • 6.4.19.4. SWOT Analysis
  • 7. Global Whole Life Insurance Sale, by Type, End Users, Sales Channel and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Whole Life Insurance (Value)
      • 7.2.1. Global Whole Life Insurance by: Type (Value)
        • 7.2.1.1. Non-participating Whole Life
        • 7.2.1.2. Participating Whole Life
      • 7.2.2. Global Whole Life Insurance by: End Users (Value)
        • 7.2.2.1. Personal/Family
        • 7.2.2.2. Business
      • 7.2.3. Global Whole Life Insurance by: Sales Channel (Value)
        • 7.2.3.1. Agents
        • 7.2.3.2. Brokers
        • 7.2.3.3. Bancassurance
        • 7.2.3.4. Digital & Direct Channels
      • 7.2.4. Global Whole Life Insurance 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
    • 7.3. Global Whole Life Insurance (Price)
      • 7.3.1. Global Whole Life Insurance by: Type (Price)
  • 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. Whole Life Insurance: by Type(USD Million)
  • Table 2. Whole Life Insurance Non-participating Whole Life , by Region USD Million (2017-2022)
  • Table 3. Whole Life Insurance Participating Whole Life , by Region USD Million (2017-2022)
  • Table 4. Whole Life Insurance: by End Users(USD Million)
  • Table 5. Whole Life Insurance Personal/Family , by Region USD Million (2017-2022)
  • Table 6. Whole Life Insurance Business , by Region USD Million (2017-2022)
  • Table 7. Whole Life Insurance: by Sales Channel(USD Million)
  • Table 8. Whole Life Insurance Agents , by Region USD Million (2017-2022)
  • Table 9. Whole Life Insurance Brokers , by Region USD Million (2017-2022)
  • Table 10. Whole Life Insurance Bancassurance , by Region USD Million (2017-2022)
  • Table 11. Whole Life Insurance Digital & Direct Channels , by Region USD Million (2017-2022)
  • Table 12. South America Whole Life Insurance, by Country USD Million (2017-2022)
  • Table 13. South America Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 14. South America Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 15. South America Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 16. Brazil Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 17. Brazil Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 18. Brazil Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 19. Argentina Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 20. Argentina Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 21. Argentina Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 22. Rest of South America Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 23. Rest of South America Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 24. Rest of South America Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 25. Asia Pacific Whole Life Insurance, by Country USD Million (2017-2022)
  • Table 26. Asia Pacific Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 27. Asia Pacific Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 28. Asia Pacific Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 29. China Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 30. China Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 31. China Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 32. Japan Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 33. Japan Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 34. Japan Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 35. India Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 36. India Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 37. India Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 38. South Korea Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 39. South Korea Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 40. South Korea Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 41. Taiwan Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 42. Taiwan Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 43. Taiwan Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 44. Australia Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 45. Australia Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 46. Australia Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 47. Rest of Asia-Pacific Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 48. Rest of Asia-Pacific Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 49. Rest of Asia-Pacific Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 50. Europe Whole Life Insurance, by Country USD Million (2017-2022)
  • Table 51. Europe Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 52. Europe Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 53. Europe Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 54. Germany Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 55. Germany Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 56. Germany Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 57. France Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 58. France Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 59. France Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 60. Italy Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 61. Italy Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 62. Italy Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 63. United Kingdom Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 64. United Kingdom Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 65. United Kingdom Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 66. Netherlands Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 67. Netherlands Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 68. Netherlands Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 69. Rest of Europe Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 70. Rest of Europe Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 71. Rest of Europe Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 72. MEA Whole Life Insurance, by Country USD Million (2017-2022)
  • Table 73. MEA Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 74. MEA Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 75. MEA Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 76. Middle East Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 77. Middle East Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 78. Middle East Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 79. Africa Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 80. Africa Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 81. Africa Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 82. North America Whole Life Insurance, by Country USD Million (2017-2022)
  • Table 83. North America Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 84. North America Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 85. North America Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 86. United States Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 87. United States Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 88. United States Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 89. Canada Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 90. Canada Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 91. Canada Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 92. Mexico Whole Life Insurance, by Type USD Million (2017-2022)
  • Table 93. Mexico Whole Life Insurance, by End Users USD Million (2017-2022)
  • Table 94. Mexico Whole Life Insurance, by Sales Channel USD Million (2017-2022)
  • Table 95. Whole Life Insurance: by Type(USD/Units)
  • Table 96. Company Basic Information, Sales Area and Its Competitors
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • 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. Company Basic Information, Sales Area and Its Competitors
  • Table 112. Company Basic Information, Sales Area and Its Competitors
  • Table 113. Company Basic Information, Sales Area and Its Competitors
  • Table 114. Company Basic Information, Sales Area and Its Competitors
  • Table 115. Whole Life Insurance: by Type(USD Million)
  • Table 116. Whole Life Insurance Non-participating Whole Life , by Region USD Million (2023-2028)
  • Table 117. Whole Life Insurance Participating Whole Life , by Region USD Million (2023-2028)
  • Table 118. Whole Life Insurance: by End Users(USD Million)
  • Table 119. Whole Life Insurance Personal/Family , by Region USD Million (2023-2028)
  • Table 120. Whole Life Insurance Business , by Region USD Million (2023-2028)
  • Table 121. Whole Life Insurance: by Sales Channel(USD Million)
  • Table 122. Whole Life Insurance Agents , by Region USD Million (2023-2028)
  • Table 123. Whole Life Insurance Brokers , by Region USD Million (2023-2028)
  • Table 124. Whole Life Insurance Bancassurance , by Region USD Million (2023-2028)
  • Table 125. Whole Life Insurance Digital & Direct Channels , by Region USD Million (2023-2028)
  • Table 126. South America Whole Life Insurance, by Country USD Million (2023-2028)
  • Table 127. South America Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 128. South America Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 129. South America Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 130. Brazil Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 131. Brazil Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 132. Brazil Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 133. Argentina Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 134. Argentina Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 135. Argentina Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 136. Rest of South America Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 137. Rest of South America Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 138. Rest of South America Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 139. Asia Pacific Whole Life Insurance, by Country USD Million (2023-2028)
  • Table 140. Asia Pacific Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 141. Asia Pacific Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 142. Asia Pacific Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 143. China Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 144. China Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 145. China Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 146. Japan Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 147. Japan Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 148. Japan Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 149. India Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 150. India Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 151. India Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 152. South Korea Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 153. South Korea Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 154. South Korea Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 155. Taiwan Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 156. Taiwan Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 157. Taiwan Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 158. Australia Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 159. Australia Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 160. Australia Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 161. Rest of Asia-Pacific Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 162. Rest of Asia-Pacific Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 163. Rest of Asia-Pacific Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 164. Europe Whole Life Insurance, by Country USD Million (2023-2028)
  • Table 165. Europe Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 166. Europe Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 167. Europe Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 168. Germany Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 169. Germany Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 170. Germany Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 171. France Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 172. France Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 173. France Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 174. Italy Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 175. Italy Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 176. Italy Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 177. United Kingdom Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 178. United Kingdom Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 179. United Kingdom Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 180. Netherlands Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 181. Netherlands Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 182. Netherlands Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 183. Rest of Europe Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 184. Rest of Europe Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 185. Rest of Europe Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 186. MEA Whole Life Insurance, by Country USD Million (2023-2028)
  • Table 187. MEA Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 188. MEA Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 189. MEA Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 190. Middle East Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 191. Middle East Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 192. Middle East Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 193. Africa Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 194. Africa Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 195. Africa Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 196. North America Whole Life Insurance, by Country USD Million (2023-2028)
  • Table 197. North America Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 198. North America Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 199. North America Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 200. United States Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 201. United States Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 202. United States Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 203. Canada Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 204. Canada Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 205. Canada Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 206. Mexico Whole Life Insurance, by Type USD Million (2023-2028)
  • Table 207. Mexico Whole Life Insurance, by End Users USD Million (2023-2028)
  • Table 208. Mexico Whole Life Insurance, by Sales Channel USD Million (2023-2028)
  • Table 209. Whole Life Insurance: by Type(USD/Units)
  • Table 210. Research Programs/Design for This Report
  • Table 211. Key Data Information from Secondary Sources
  • Table 212. 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 Whole Life Insurance: by Type USD Million (2017-2022)
  • Figure 5. Global Whole Life Insurance: by End Users USD Million (2017-2022)
  • Figure 6. Global Whole Life Insurance: by Sales Channel USD Million (2017-2022)
  • Figure 7. South America Whole Life Insurance Share (%), by Country
  • Figure 8. Asia Pacific Whole Life Insurance Share (%), by Country
  • Figure 9. Europe Whole Life Insurance Share (%), by Country
  • Figure 10. MEA Whole Life Insurance Share (%), by Country
  • Figure 11. North America Whole Life Insurance Share (%), by Country
  • Figure 12. Global Whole Life Insurance: by Type USD/Units (2017-2022)
  • Figure 13. Global Whole Life Insurance share by Players 2022 (%)
  • Figure 14. Global Whole Life Insurance share by Players (Top 3) 2022(%)
  • Figure 15. Global Whole Life Insurance share by Players (Top 5) 2022(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Allianz (Germany) Revenue, Net Income and Gross profit
  • Figure 18. Allianz (Germany) Revenue: by Geography 2022
  • Figure 19. AXA (France) Revenue, Net Income and Gross profit
  • Figure 20. AXA (France) Revenue: by Geography 2022
  • Figure 21. Nippon Life Insurance (Japan) Revenue, Net Income and Gross profit
  • Figure 22. Nippon Life Insurance (Japan) Revenue: by Geography 2022
  • Figure 23. American Intl. Group (United States) Revenue, Net Income and Gross profit
  • Figure 24. American Intl. Group (United States) Revenue: by Geography 2022
  • Figure 25. Aviva (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 26. Aviva (United Kingdom) Revenue: by Geography 2022
  • Figure 27. Assicurazioni Generali (Italy) Revenue, Net Income and Gross profit
  • Figure 28. Assicurazioni Generali (Italy) Revenue: by Geography 2022
  • Figure 29. State Farm Insurance (United States) Revenue, Net Income and Gross profit
  • Figure 30. State Farm Insurance (United States) Revenue: by Geography 2022
  • Figure 31. Dai-ichi Mutual Life Insurance (Japan) Revenue, Net Income and Gross profit
  • Figure 32. Dai-ichi Mutual Life Insurance (Japan) Revenue: by Geography 2022
  • Figure 33. Munich Re Group (Germany) Revenue, Net Income and Gross profit
  • Figure 34. Munich Re Group (Germany) Revenue: by Geography 2022
  • Figure 35. Zurich Financial Services (Switzerland) Revenue, Net Income and Gross profit
  • Figure 36. Zurich Financial Services (Switzerland) Revenue: by Geography 2022
  • Figure 37. Prudential (United States) Revenue, Net Income and Gross profit
  • Figure 38. Prudential (United States) Revenue: by Geography 2022
  • Figure 39. Asahi Mutual Life Insurance (Japan) Revenue, Net Income and Gross profit
  • Figure 40. Asahi Mutual Life Insurance (Japan) Revenue: by Geography 2022
  • Figure 41. Sumitomo Life Insurance (Japan) Revenue, Net Income and Gross profit
  • Figure 42. Sumitomo Life Insurance (Japan) Revenue: by Geography 2022
  • Figure 43. Aegon (Netherlands) Revenue, Net Income and Gross profit
  • Figure 44. Aegon (Netherlands) Revenue: by Geography 2022
  • Figure 45. MetLife (United States) Revenue, Net Income and Gross profit
  • Figure 46. MetLife (United States) Revenue: by Geography 2022
  • Figure 47. Swiss Reinsurance (Switzerland) Revenue, Net Income and Gross profit
  • Figure 48. Swiss Reinsurance (Switzerland) Revenue: by Geography 2022
  • Figure 49. CNP Assurances ( France) Revenue, Net Income and Gross profit
  • Figure 50. CNP Assurances ( France) Revenue: by Geography 2022
  • Figure 51. Meiji Yasuda Life Insurance Company (Japan) Revenue, Net Income and Gross profit
  • Figure 52. Meiji Yasuda Life Insurance Company (Japan) Revenue: by Geography 2022
  • Figure 53. Standard Life Assurance (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 54. Standard Life Assurance (United Kingdom) Revenue: by Geography 2022
  • Figure 55. Global Whole Life Insurance: by Type USD Million (2023-2028)
  • Figure 56. Global Whole Life Insurance: by End Users USD Million (2023-2028)
  • Figure 57. Global Whole Life Insurance: by Sales Channel USD Million (2023-2028)
  • Figure 58. South America Whole Life Insurance Share (%), by Country
  • Figure 59. Asia Pacific Whole Life Insurance Share (%), by Country
  • Figure 60. Europe Whole Life Insurance Share (%), by Country
  • Figure 61. MEA Whole Life Insurance Share (%), by Country
  • Figure 62. North America Whole Life Insurance Share (%), by Country
  • Figure 63. Global Whole Life Insurance: by Type USD/Units (2023-2028)
List of companies from research coverage that are profiled in the study
  • Allianz (Germany)
  • AXA (France)
  • Nippon Life Insurance (Japan)
  • American Intl. Group (United States)
  • Aviva (United Kingdom)
  • Assicurazioni Generali (Italy)
  • State Farm Insurance (United States)
  • Dai-ichi Mutual Life Insurance (Japan)
  • Munich Re Group (Germany)
  • Zurich Financial Services (Switzerland)
  • Prudential (United States)
  • Asahi Mutual Life Insurance (Japan)
  • Sumitomo Life Insurance (Japan)
  • Aegon (Netherlands)
  • MetLife (United States)
  • Swiss Reinsurance (Switzerland)
  • CNP Assurances ( France)
  • Meiji Yasuda Life Insurance Company (Japan)
  • Standard Life Assurance (United Kingdom)
Additional players considered in the study are as follows:
WanaArtha Life (Indonesia) , Asian Life Insurance Company (India) , AIA Group Limited (China) , China Life Insurance Company Limited (China) , China Ping An Life Insurance Company Limited (China) , ACE Group (Vietnam)
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Global Whole Life Insurance Quantitative research analysis
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Frequently Asked Questions (FAQ):

Top performing companies in the Global Whole Life Insurance market are Allianz (Germany), AXA (France), Nippon Life Insurance (Japan), American Intl. Group (United States), Aviva (United Kingdom), Assicurazioni Generali (Italy), State Farm Insurance (United States), Dai-ichi Mutual Life Insurance (Japan), Munich Re Group (Germany), Zurich Financial Services (Switzerland), Prudential (United States), Asahi Mutual Life Insurance (Japan), Sumitomo Life Insurance (Japan), Aegon (Netherlands), MetLife (United States), Swiss Reinsurance (Switzerland), CNP Assurances ( France), Meiji Yasuda Life Insurance Company (Japan) and Standard Life Assurance (United Kingdom), to name a few.
North America is dominating the Whole Life Insurance Market.
"Limitation Due to Government Regulation is Anticipated to Challenge the Market" is seen as one of the major challenges by many Industry Players of Whole Life Insurance Market
The Whole Life Insurance 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 complete companies available in our research coverage.
The Whole Life Insurance market is expected to see a steady growth rate during projected year 2022 to 2028.

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