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Home > Financial Services >  Insurance >  Future of Insurance – Disruptive Tech Themes

Future of Insurance – Disruptive Tech Themes

The insurance sector faces a myriad of challenges. The ones that do not gain experience in artificial intelligence, big data, connected vehicle data, computer vision or take cybersecurity more seriously risk falling behind their rivals. In this report compendium we explore trends, companies, case studies and strategies to show you how to invest in the right themes and to stay ahead of the competition.

Scope

Cybersecurity

This section provides an in-depth analysis of trends in the cybersecurity market that will shape the insurance industry over the coming years. Now that all insurance firms must prioritize cybersecurity, it will allow you to identify the potential security gaps in the insurance industry and help you understand how to respond to these threats. It also details the areas in cybersecurity where insurance firms should be focusing their times and resources, planning for the future to stay ahead of the competition. 

Computer Vision in Insurance

This section provides an in-depth analysis of the computer vision industry and the different ways computer vision technology is impacting the insurance value chain. It examines the technology’s impact across different lines of business and highlights the key players in the space utilizing computer vision within their operations.

Artificial Intelligence (AI) in Insurance

This section offers an recommendations on which of the seven AI technologies should be deployed across the insurance value chain (product development, marketing and distribution, underwriting and risk profiling, claims management, and customer service), and where they will offer most value. It also identifies the leading insurance companies adopting AI segmented by business line (motor, property, and life insurance), alongside in-depth coverage of the various specialist tech vendors with insurance-specific AI platforms.

Big Data in Insurance

This section explores the main trends shaping the big data in insurance theme over the next 12 to 24 months. The trends are split into three categories: technology trends, macroeconomic trends, and regulatory trends.

Connected Cars in Insurance

This section provides an in-depth analysis of the connected cars in insurance theme. It offers a thorough overview of the space, covering market size and claims, contextual and economic factors, regulations and opportunities. Explore how the development of connected cars will impact the insurance value chain.

Reasons to Buy

  • Understand the impact these themes will have on the insurance value chain.
  • Identify the key players in the industry that are providing insurance solutions.
  • Plan for the future to stay ahead of the competition.
  • Identify the main trends shaping the themes over the next 12 to 24 months.
  • Ensure you remain competitive as new innovations and insurance models begin to enter the market.

Table of Contents

Chapter 1 – Cybersecurity in Insurance

Executive summary

Insurance challenges

The impact of cybersecurity on insurance

Case studies

Market size and growth forecasts

Cybersecurity timeline

Companies

Chapter 2 – Computer Vision in Insurance

Executive summary

Players

Technology briefing

Trends

Industry analysis

Value chain companies

Chapter 3 – Artificial Intelligence (AI) in Insurance

Executive summary

AI value chain

Insurance challenges

The impact of AI on insurance

Case studies

Market size and growth forecasts

Mergers and acquisitions

AI timeline

Companies

Sector scorecard

Chapter 4 – Big Data in Insurance

Executive summary

Players

Technology briefing

Trends

Industry analysis

Value chain

Companies

Sector scorecards

Chapter 5 – Connected Cars in Insurance

Executive summary

Players

Thematic briefing

Trends

Industry analysis

Value chain

Companies

Sector scorecards

 

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