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Generative AI in Insurance Market to Reach $14.4 Billion, Globally, by 2032 at 34.4% CAGR: Allied Market Research

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Allied Market Research published a report, titled, “Generative AI in Insurance Market by Component (Solution and Service), Technology (Generative Adversarial Networks (GANs), Transformers, Variational Auto-encoders, Diffusion Networks, and Others), and Application (Personalized Insurance Policies, Automated Underwriting, Claims Processing Automation, Fraud Detection and Prevention, Virtual Assistants and Customer Support, and Others): Global Opportunity Analysis and Industry Forecast, 2022-2032″. According to the report, the global generative AI in insurance industry generated $ 761.4 million in 2022, and is anticipated to generate $14.4 billion by 2032, witnessing a CAGR of 34.4% from 2023 to 2032.

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  • 129 – Tables
  • 63 – Charts
  • 274 – Pages

Prime determinants of growth

The generative AI in insurance market is expected to witness notable growth owing to faster claims processing through generative AI, responsive and efficient customer service, and better risk assessment and premium determination. Moreover, risk modeling and underwriting advancements and adoption of explainable AI (XAI) for transparency are expected to provide lucrative opportunities for the growth of the market during the forecast period.

Report coverage & details:

Report Coverage

Details

Forecast Period

2022–2032

Base Year

2022

Market Size in 2022

$ 761.4 million

Market Size in 2032

$14.4 billion

CAGR

34.4 %

No. of Pages in Report

274

Segments Covered

Component, Technology, Application, and Region.

Drivers

Faster claims processing through generative AI  

Responsive and efficient customer service

Better risk assessment and premium determination

Opportunities

Risk modeling and underwriting advancements

Adoption of explainable AI (XAI) for transparency

Restraints

Data quality and regulatory challenges

High implementation cost

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The solution segment to maintain its leadership status throughout the forecast period

Based on component, the solution segment held the highest market share in 2022, accounting for more than two-thirds of the global generative AI in insurance market revenue, and is estimated to maintain its leadership status throughout the forecast period. This is attributed to the increase in the need to handle large volumes of data and to provide personalized services to customers. However, the service segment is projected to attain the highest CAGR of 36.5% from 2023 to 2032, owing to the fact that generative AI enhances risk assessment, helping insurance companies make more accurate decisions. In addition, the demand for personalized policy recommendations and insights is encouraging the use of generative AI services.

The generative adversarial networks (GANs) segment to maintain its leadership status throughout the forecast period

Based on technology, the generative adversarial networks (GANs) segment held the highest market share in 2022, accounting for around one-third of the global generative AI in insurance market revenue, and is estimated to maintain its leadership status throughout the forecast period. This is attributed to its ability to create realistic and diverse synthetic data, which is crucial for tasks such as risk assessment, fraud detection, and personalized underwriting. However, the diffusion networks segment is projected to attain the highest CAGR of 38.6% from 2023 to 2032, owing to their ability to handle sequential data and model complex dependencies over time. In insurance, where events and claims evolve over periods, diffusion networks can predict and simulate future scenarios with precision, aiding in risk assessment and pricing.

The automated underwriting segment to maintain its leadership status throughout the forecast period

Based on application, the automated underwriting segment held the highest market share in 2022, accounting for nearly one-third of the global generative AI in insurance market revenue, and is estimated to maintain its leadership status throughout the forecast period. This is attributed to the fact that generative AI streamlines the underwriting process by automating risk assessment and decision-making. AI models can analyze historical data, identify patterns, and predict risks, enabling insurers to make more accurate and efficient underwriting decisions. However, the virtual assistants and customer support segment is projected to attain the highest CAGR of 41.7% from 2023 to 2032, owing to the fact that generative AI-powered virtual assistants provide real-time support to customers, addressing policy inquiries, claims status updates, and general insurance-related questions.

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North America to maintain its dominance by 2032

Based on region, North America held the highest market share in terms of revenue in 2022, accounting for nearly two-fifths of the global generative AI in insurance market revenue, and is estimated to maintain its leadership status throughout the forecast period, owing to the need to analyze vast amounts of data for better risk assessment, fraud detection, and pricing optimization. With an increase in volume of data available, generative AI helps insurers make data-driven decisions to improve their services and stay competitive. However, Asia-Pacific is expected to witness the fastest CAGR of 38.1% from 2023 to 2032. This is attributed to the region’s expanding middle class, urbanization, and increased awareness of insurance products. As the demand for insurance services grows, generative AI enables insurers to automate tasks, enhance customer service, and improve risk assessment.

Leading Market Players: –

  • DataRobot, Inc.
  • Microsoft Corporation
  • Amazon Web Services, Inc.
  • Avaamo
  • IBM Corporation
  • LeewayHertz
  • Persado, Inc.
  • Aisera
  • Shift Technology
  • AlphaChat

The report provides a detailed analysis of these key players of the global generative AI in insurance market. These players have adopted different strategies such as new product launches, collaborations, expansion, joint ventures, agreements, and others to increase their market share and maintain dominant shares in different regions. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to showcase the competitive scenario.

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Key Benefits for Stakeholders

  • This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the generative AI in insurance market analysis from 2022 to 2032 to identify the prevailing generative AI in insurance market opportunity.
  • The market research is offered along with information related to key drivers, restraints, and opportunities.
  • The Porter’s five forces analysis highlights the potency of buyers and suppliers to enable stakeholders to make profit-oriented business decisions and strengthen their supplier-buyer network.
  • In-depth analysis of the generative AI in insurance market segmentation assists to determine the prevailing generative AI in insurance market opportunities.
  • Major countries in each region are mapped according to their revenue contribution to the generative AI in insurance market.
  • Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
  • The report includes the analysis of the regional as well as generative AI in insurance market trends, key players, market segments, application areas, and market growth strategies.

Generative AI in Insurance Market Report Highlights

By Component:

  • Solution
  • Service

By Technology:

  • Generative Adversarial Networks (GANs)
  • Transformers
  • Variational Auto-encoders
  • Diffusion Networks
  • Others

By Application:

  • Personalized Insurance Policies
  • Automated Underwriting
  • Claims Processing Automation
  • Fraud Detection and Prevention
  • Virtual Assistants and Customer Support
  • Others

By Region:

  • North America  (U.S., Canada)
  • Europe  (UK, GermanyFranceItalySpain, Rest of Europe)
  • Asia-Pacific  (ChinaJapanIndiaAustraliaSouth Korea, Rest of Asia-Pacific)
  • LAMEA  (Latin AmericaMiddle EastAfrica)

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Artificial Intelligence

JupiterOne and watchTowr announce partnership to protect business critical assets with broad exposure management capabilities

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SINGAPORE, May 2, 2024 /PRNewswire/ — watchTowr, a leader in external attack surface management (EASM) technology and fuelled by watchTowr Labs, a renowned vulnerability R&D capability, has formed a strategic partnership with JupiterOne. JupiterOne is a leader in cyber asset attack surface management (CAASM) technology. This collaboration enables customers to rapidly prioritize emerging threats within their constantly changing environments, focusing on fixing the most critical risks impacting their business, which enables an end-to-end continuous threat exposure management process (CTEM).

Over 28,000 CVE records were published in 2023; a figure that is expected to increase as attackers shorten the time from known vulnerability to exploit, reducing it from weeks to days. JupiterOne and watchTowr’s integrated solution empowers enterprises to discover their most critical and exploitable vulnerabilities, prioritize them with asset context based on business impact and receive an actionable remediation plan to improve security posture.
This partnership enables a complete continuous threat exposure management program, addressing the full spectrum of cyber risk management. The fully integrated solution provides continuous monitoring and assessment of both internal and external digital assets, allowing for prioritization and effective threat mitigation for a business’s most critical assets. “Our partnership with watchTowr is a game-changer” said Forte. “Combining our data aggregation with real-time asset discovery and automated security testing allows us to offer a unique, all-encompassing approach to exposure management.”
Benjamin Harris, CEO, watchTowr, said, “While the number of reported vulnerabilities continues to rise, the vulnerabilities that matter – in mission-critical, key systems – have exploded at an alarming rate. This reality, combined with the significant shift in speed by attackers to weaponize vulnerabilities – the ability to validate exploitability and prioritise actions based on real business risk has never been more vital. We’re excited to join forces with JupiterOne to give security teams around the globe this much-needed end-to-end capability.”
About JupiterOne:
JupiterOne is a cybersecurity startup delivering powerful software solutions to companies across all industries, providing deep insights to cyber assets and the relationships between, empowering security professionals to have true knowledge and ownership of their attack surfaces.
About watchTowr: 
watchTowr is a global cybersecurity technology company, built by former adversaries.
watchTowr’s world-class External Attack Surface Management and Continuous Automated Red Teaming technology is informed by years of experience compromising some of the world’s most targeted organisations and utilised by Fortune 500, financial services and critical infrastructure providers every day.
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Clarivate Declares Dividend on Mandatory Convertible Preferred Shares

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LONDON, May 1, 2024 /PRNewswire/ — Clarivate Plc (NYSE: CLVT; CLVT PR A) (“Clarivate”), a leading global provider of transformative intelligence, today announced that its board of directors declared a quarterly dividend of $1.3125 per share on its 5.25% Series A Mandatory Convertible Preferred Shares (the “Preferred Shares”), payable in cash on June 3, 2024 to shareholders of record at the close of business on May 15, 2024.

On the mandatory conversion date, which is scheduled to occur on June 3, 2024, each Preferred Share will automatically and mandatorily convert into a number of ordinary shares of Clarivate (and cash in lieu of any fractional ordinary shares) based on the average volume weighted average price (“VWAP”) of Clarivate’s ordinary shares over a 30-trading day period that begins on, and includes, April 18, 2024 and is scheduled to end on, and include, May 30, 2024 (the “valuation period”). If such VWAP is (i) greater than $31.20, then the mandatory conversion rate will be 3.2052 ordinary shares of Clarivate per Preferred Share, (ii) less than or equal to $31.20 but equal to or greater than $26.00, then the mandatory conversion rate will be a number of ordinary shares of Clarivate per Preferred Share equal to $100.00 divided by such VWAP and (iii) less than $26.00, then the mandatory conversion rate will be 3.8462 ordinary shares of Clarivate per Preferred Share. The mandatory conversion rate will be announced following the end of the valuation period. The above description of the terms of the Preferred Shares is not complete and is subject to, and qualified in its entirety by reference to, the “Statement of Rights” for the Preferred Shares, which is filed as Exhibit 3.2 to Clarivate’s annual report on Form 10-K for the fiscal year ended December 31, 2023.
Cautionary Note Regarding Forward-Looking Statements
This communication contains “forward-looking statements” as defined in the Private Securities Litigation Reform Act of 1995. These statements, which express management’s current views concerning future business, events, trends, contingencies, financial performance, or financial condition, appear at various places in this communication and may use words like “aim,” “anticipate,” “assume,” “believe,” “continue,” “could,” “estimate,” “expect,” “forecast,” “future,” “goal,” “intend,” “likely,” “may,” “might,” “plan,” “potential,” “predict,” “project,” “see,” “seek,” “should,” “strategy,” “strive,” “target,” “will,” and “would” and similar expressions, and variations or negatives of these words. Forward-looking statements are neither historical facts nor assurances of future performance. Instead, they are based only on management’s current beliefs, expectations, and assumptions regarding the future of our business, future plans and strategies, projections, anticipated events and trends, the economy, and other future conditions. These forward-looking statements involve a number of risks and uncertainties (some of which are beyond our control) or other assumptions that may cause actual results or performance to be materially different from those expressed or implied by these forward-looking statements. Important factors that could cause our actual results and financial condition to differ materially from those indicated in the forward-looking statements include those factors discussed under the caption “Risk Factors” in our annual report on Form 10-K, along with our other filings with the U.S. Securities and Exchange Commission (“SEC”). However, those factors should not be considered to be a complete statement of all potential risks and uncertainties. Additional risks and uncertainties not known to us or that we currently deem immaterial may also adversely affect our business operations. Forward-looking statements are based only on information currently available to our management and speak only as of the date of this communication. We do not assume any obligation to publicly provide revisions or updates to any forward-looking statements, whether as a result of new information, future developments or otherwise, except as otherwise required by securities and other applicable laws. Please consult our public filings with the SEC or on our website at www.clarivate.com.
About Clarivate
Clarivate™ is a leading global provider of transformative intelligence. We offer enriched data, insights & analytics, workflow solutions and expert services in the areas of Academia & Government, Intellectual Property and Life Sciences & Healthcare. For more information, please visit www.clarivate.com.
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CGTN: 3rd CMG Forum in Beijing discusses AI development

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BEIJING, May 1, 2024 /PRNewswire/ — Focusing on the development of AI, the third CMG Forum was held on Monday in Beijing.

Li Shulei, a member of the Political Bureau of the Communist Party of China (CPC) Central Committee and the head of the Publicity Department of the CPC Central Committee, attended the opening of the event and delivered a speech.
Guests at the forum stressed the role of media in promoting the innovative application of AI as well as its governance.
Efforts should also be made to boost the development of AI in creating positive, healthy, diverse and high-quality content, so that AI can become a force for good and benefit mankind, they agreed.
They also called on media to accelerate intelligent transformation and help bridge international exchanges and cooperation on the governance of AI to facilitate its healthy, orderly and safe development.
Hosted by China Media Group (CMG), the forum attracted more than 200 participants from international organizations, media, think tanks and multinational companies.
“Innovation and breakthroughs in science and technology not only guide the development and progress of human civilization, but also bring uncertainty to the changing world,” said Shen Haixiong, vice minister of the Publicity Department of the CPC Central Committee and president of CMG. He called for efforts to jointly create valuable and responsible artificial intelligence.
AI technology is affecting every aspect of our lives. Thomas Bach, president of the International Olympic Committee (IOC), stated in a video speech that CMG has always been a partner of the IOC, bringing the charm of the Olympic Games to hundreds of millions of Chinese viewers. He said the IOC invites CMG to work together for the creation of a future with the application of AI in Olympic sports.
“From ancient inventions such as silk, printing and the compass to modern technological advances such as robotics, telecommunications and green technology, China has always been committed to innovation and creation,” said Daren Tang, director general of the World Intellectual Property Organization (WIPO). He said WIPO pays close attention to ensuring a balance between the opportunities and risks of artificial intelligence and is committed to strengthening cooperation to ensure that artificial intelligence is properly used.
https://news.cgtn.com/news/2024-04-30/3rd-CMG-Forum-in-Beijing-discusses-AI-development-1tdDcXvCexG/p.html

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