Data Analytics in Insurance – Strategic Intelligence

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Data Analytics in Insurance Strategic Intelligence Report Overview

Investment into data analytics in the insurance industry has recorded a prominent growth in 2024 by the end of September. This shows a renewed excitement in the theme and perhaps an indication of improving global macroeconomic and investment environments. Data analytics is central to the rise of both AI and personalization within insurance. The strength of data is what allows AI to run smoothly and aids insurers in creating customer insights and providing personalized policies.

The data analytics in insurance strategic intelligence report provides an in-depth analysis of data analytics in the insurance market. It identifies key players within the industry and discusses what they have done well to set themselves apart. It also analyzes the investment that has gone into the theme within the insurance industry in recent years.

Key Trends ·       Technology Trends

·       Macroeconomic Trends

·       Regulatory Trends

Key Value Chain Components ·       Hardware

·       Data Management

·       Applications

·       Delivery

Leading Public Companies ·       Admiral

·       Ageas

·       Allianz

·       Aon

·       AXA

Leading Private Companies ·       By Miles

·       FloodFlash

·       Oscar Health

·       Sicara

·       YuLife

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Key Data Analytics in Insurance Trends

The key trends that will influence the data analytics in insurance theme during the next 12 to 24 months are technology trends, regulatory trends, and macroeconomic trends.

Technology Trends: Various evolving technologies including artificial intelligence, cloud, and 5G among others are impacting the data analytics in insurance theme. AI is arguably the biggest theme within the insurance industry at present. The rise of generative AI has sparked interest from all areas of the industry. It can help insurers transform their customer service, but also improve their underwriting process and claims management.

Macroeconomic Trends: ESG, geopolitics, and high inflation are influencing the data analytics in insurance theme at the macroeconomic level. ESG is a long-running theme within the insurance industry. It utilizes data analytics in a range of ways. The rise of climate change and severe weather events requires insurers and reinsurers to develop and monitor large-scale weather tracking programs. This allows them to mitigate the damage of upcoming storms, hurricanes, and other events.

Regulatory Trends: GDPR, data privacy, and AI regulation will have an impact on the data analytics in insurance theme. GDPR prepares all businesses for the growing importance of data-driven business models in the digital economy. GDPR was introduced in the EU in May 2018.

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Data Analytics in Insurance Value Chain Outlook

The main data analytics in insurance value chain components are hardware, data management, applications, and delivery.

Hardware: The hardware layer comprises semiconductors, cameras, sensors and lenses, and servers among others.

Data Analytics in Insurance Value Chain Industry Analysis

Data Analytics in Insurance Value Chain Industry AnalysisBuy the Full Report for Additional data analytics in insurance Value Chain Analysis,

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Data Analytics in Insurance – Competitive Landscape

The leading public companies making a mark in the data analytics in insurance theme are:

  • Admiral
  • Ageas
  • Allianz
  • Aon
  • AXA

The leading private companies making a mark in the data analytics in insurance theme are:

  • By Miles
  • FloodFlash
  • Oscar Health
  • Sicara
  • YuLife

Leading Companies Leveraging the Data Analytics In Insurance Theme
Leading Companies Leveraging the Data Analytics In Insurance ThemeBuy the Full Report for More Insights on the Key Companies Leveraging the Data Analytics in Insurance Theme, Download a Free Sample Report

Sector Scorecard Analysis

Data analytics in insurance is a theme that impacts many sectors. The report covers extensive insights into the non-life insurance sector scorecard. A scorecard approach to predict tomorrow’s leading companies within each sector. Each scorecard comprises a thematic screen, a valuation screen, and a risk screen.

Non-Life Insurance Sector Scorecard Thematic Screen Analysis

Non-Life Insurance Sector Scorecard Thematic Screen AnalysisBuy The Full Report for More Insights on the Thematic Screen Analysis of the Non-Life Insurance Sector Scorecard, Download a Free Sample Report

Scope

The four main types of data analytics are descriptive, diagnostic, predictive, and prescriptive.

In 2024, investment into data analytics in the insurance industry had recorded growth of 220% just by the end of September.

GlobalData’s 2023 UK Insurance Consumer Survey found that of those who did not have any form of telematics motor insurance policy, 51.2% would be interested in getting one if they could save on their premiums.

Reasons to Buy

  • Benchmark yourself against the rest of the market.
  • Ensure you remain competitive as innovations and insurance models begin to enter the market.
  • Understand the impact that the use of big data is having on the insurance industry.

Table of Contents

  • 1. Executive Summary
  • 2. Players
  • 3. Technology Briefing
  • 4. Trends

    • 4.1. Technology trends
    • 4.2. Macroeconomic trends
    • 4.3. Regulatory trends

  • 5. Industry Analysis

    • 5.1. Data analytics in insurance use cases
    • 5.2. Timeline

  • 6. Signals

    • 6.1. Patent trends
    • 6.2. Company filing trends
    • 6.3. Hiring trends
    • 6.4. News trends

  • 7. Value Chain

    • 7.1. Data analytics
    • 7.2. Insurance Value Chain

  • 8. Companies

    • 8.1. Public companies
    • 8.2. Private companies

  • 9. Sector Scorecards

    • 9.1. Non-life insurance sector scorecard

  • 10. Glossary
  • 11. Further Reading
  • 12. Our Thematic Research Methodology
  • 13. About GlobalData
  • 14. Contact Us

Frequently asked questions

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