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PUBLISHER: Knowledge Sourcing Intelligence | PRODUCT CODE: 1279625

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PUBLISHER: Knowledge Sourcing Intelligence | PRODUCT CODE: 1279625

Artificial Intelligence (AI) for Insurance Market - Forecasts from 2023 to 2028

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AI for insurance market is expected to grow at a CAGR of 33.05% from a market size of US$1.209 billion in 2021 to reach US$8.925 billion in 2028. Artificial Intelligence (AI) has been making inroads into the insurance industry, with insurers using the technology to improve various aspects of their business. It is being used to automate the underwriting process, enabling insurers to make more informed decisions about the risk associated with a particular policy and identify and prevent fraudulent insurance claims. AI algorithms can analyze data from a variety of sources, such as social media, financial statements, and medical records, to determine the risk associated with a policy. Furthermore, it can analyze large amounts of data, such as claims history and policyholder behavior, to detect patterns that are indicative of fraud.

Chatbots and virtual agents are becoming increasingly popular in the insurance industry, as they provide customers with a convenient and accessible way to purchase and manage their insurance policies. For example, it can provide customers with information about their policies, claims, and payments, and answer frequently asked questions in real time. Blockchain technology, which provides a secure and transparent ledger for recording transactions, is also gaining attention in this sector. This technology can help insurance companies improve data privacy and security, reduce costs associated with traditional administrative processes, and increase transparency and efficiency.

Market Drivers

Growth in telematics and IoT devices

The growth in telematics and Internet of Things (IoT) devices is generating a large amount of data that can be used to enhance underwriting and pricing decisions. AI algorithms can analyze this data to determine the risk associated with a policy and provide more accurate pricing. Insurers can now gather vast amounts of data about policyholders, which can be used to determine personalized pricing for insurance policies. Further, it can be used to detect fraud in the insurance industry. For instance, data from a telematics device can be used to determine if a policyholder's driving habits match the information provided in the policy application. AI algorithms can analyze this data to detect patterns that are indicative of fraud.

Preference towards personalized insurance

With the rise of digital technology and access to information, consumers are becoming more aware of the benefits of personalized insurance. This includes customized policy recommendations and tailored coverage that better meets their specific needs and requirements. Advances in technology have made it possible to offer more personalized insurance policies at more affordable prices. AI algorithms can analyze large amounts of data, enabling insurance companies to offer policies that are better attuned to the individual needs and budget of each customer. For instance, a customer who consistently drives at safe speeds and avoids sudden braking may be offered a lower premium than someone who engages in high-risk driving behavior. Metromile is a usage-based car insurance provider that uses AI and telematics technology to track driving behavior and offers personalized insurance policies. The company's app tracks mileage and driving behavior, and based on this information, offers individualized insurance quotes that are updated in real-time.


The insurance industry is highly regulated, and the use of AI technology must comply with various laws and regulations. This can be a challenge for insurance companies, as complying with these regulations may require significant resources and investment. The insurance industry has been slow to adopt new technology, and some companies may be resistant to change. Some traditional insurance companies may be reluctant to adopt AI technology due to concerns about the costs and risks associated with implementation.

Market Developments

  • In April 2022, Applied System an innovative insurance software provider partnered with Koos Intelligence to offer cutting-edge AI-powered insurance solutions that can help insurance companies better serve their customers with more advanced and personalized insurance solutions.
  • In July 2021, Microsoft formed a partnership with Darktrace, a U.K.-based cyber security AI service provider to leverage the strengths of both companies to deliver a comprehensive cyber security solution that helps organizations better protect against cyber threats and can help organizations better defend against cyber attacks and keep their critical assets and information secure.

North America is projected to hold a considerable share over the forecasted period.

North America is known for its high adoption of technology, and the insurance industry is no exception. Many insurance companies in the region have been quick to adopt AI technology to improve their operations and stay competitive. It has a well-developed infrastructure, including high-speed internet, advanced data centers, and a robust IT industry. This infrastructure provides an ideal environment for development and deployment. The strong economy of this region has allowed insurance companies to invest heavily in AI technology and hire top talent to work on AI projects. This has led insurance companies to stay ahead of the curve. For instance, Allstate is one of the largest insurance companies in North America, and the company is using AI to improve its operations and customer experience. Allstate is using AI to analyze customer data and to provide personalized insurance products and services.

The Asia Pacific region has been experiencing rapid economic growth in recent years, this region is home to many of the world's largest insurance companies, and these companies are playing a major role in the development and adoption of AI technology in this industry. They are recognizing the potential of AI to improve their operations and customer experience and investing in AI technology. For instance, Japan Post Insurance is using AI to improve its operations and customer experience, by analyzing customer data and providing more personalized insurance products and services.

Market Segmentation

By Application

  • Fraud Detection
  • Risk Analysis
  • Customer Service
  • Claims Assessment
  • Others

By Sector

  • Life Insurance
  • Health Insurance
  • Title Insurance
  • Others

By Technology

  • Deep Learning
  • Machine Learning
  • Robotic Automation
  • Others

By Geography

  • North America
    • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Israel
    • Others
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Indonesia
    • Taiwan
    • Others
Product Code: KSI061614384



  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline


  • 2.1. Research Data
  • 2.2. Research Design


  • 3.1. Research Highlights


  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis


  • 5.1. Introduction
  • 5.2. Fraud Detection
  • 5.3. Risk Analysis
  • 5.4. Customer Service
  • 5.5. Claims Assessment
  • 5.6. Others


  • 6.1. Introduction
  • 6.2. Life Insurance
  • 6.3. Health Insurance
  • 6.4. Title Insurance
  • 6.5. Others


  • 7.1. Introduction
  • 7.2. Deep Learning
  • 7.3. Machine Learning
  • 7.4. Robotic Automation
  • 7.5. Others


  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. USA
    • 8.2.2. Canada
    • 8.2.3. Mexico
  • 8.3. South America
    • 8.3.1. Brazil
    • 8.3.2. Argentina
    • 8.3.3. Others
  • 8.4. Europe
    • 8.4.1. Germany
    • 8.4.2. France
    • 8.4.3. United Kingdom
    • 8.4.4. Spain
    • 8.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. Saudi Arabia
    • 8.5.2. UAE
    • 8.5.3. Israel
    • 8.5.4. Other
  • 8.6. Asia Pacific
    • 8.6.1. China
    • 8.6.2. Japan
    • 8.6.3. India
    • 8.6.4. South Korea
    • 8.6.5. Indonesia
    • 8.6.6. Taiwan
    • 8.6.7. Others


  • 9.1. Major Players and Strategy Analysis
  • 9.2. Emerging Players and Market Lucrativeness
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Vendor Competitiveness Matrix


  • 10.1. Amelia US LLC
  • 10.2. Microsoft Corporation
  • 10.3. Amazon Web Services Inc.
  • 10.4. IBM Corporation
  • 10.5. Avaamo Inc.
  • 10.6. Cape Analytics LLC
  • 10.7. Wipro Limited
  • 10.8. Acko General Insurance
  • 10.9. Shift Technology
  • 10.10. BIMA
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Jeroen Van Heghe

Manager - EMEA



Christine Sirois

Manager - Americas


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