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Global Insurance Analytics Strategic Business Report 2022-2024 and 2030 – Growth in Adoption of AI and IoT in Insurance Sector Augurs Well for Insurance Analytics Market

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DUBLIN, March 1, 2024 /PRNewswire/ — The “Insurance Analytics: Global Strategic Business Report” report has been added to  ResearchAndMarkets.com’s offering.

Global Insurance Analytics Market to Reach $29.7 Billion by 2030

The global market for Insurance Analytics estimated at US$9.8 Billion in the year 2022, is projected to reach a revised size of US$29.7 Billion by 2030, growing at a CAGR of 14.8% over the analysis period 2022-2030.

Tools, one of the segments analyzed in the report, is projected to record 14.4% CAGR and reach US$20 Billion by the end of the analysis period. Taking into account the ongoing post pandemic recovery, growth in the Services segment is readjusted to a revised 15.9% CAGR for the next 8-year period.

Influencer market insights and world market trajectories highlight the increasing demand for digitalization, advanced analytics, automation, and AI in the insurance sector, which is driving growth for the insurance analytics market. On-demand insurance is also gaining mainstream acceptance, further fueling market expansion. Competition in the insurance analytics market is fierce, with leading insurance software vendors vying for market share. The global insurance market for 2019 saw a percentage share breakdown of value sales by these key vendors.

In 2022, the insurance analytics market is marked by competitive dynamics, with players worldwide categorized based on their market presence as strong, active, niche, or trivial. The impact of COVID-19 and a looming global recession adds another layer of complexity to the market landscape, shaping strategies and market responses moving forward.

The U.S. Market is Estimated at $2.9 Billion, While China is Forecast to Grow at 13.8% CAGR

The Insurance Analytics market in the U.S. is estimated at US$2.9 Billion in the year 2022. China, the world’s second largest economy, is forecast to reach a projected market size of US$5 Billion by the year 2030 trailing a CAGR of 13.8% over the analysis period 2022 to 2030.

Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 13.6% and 12.7% respectively over the 2022-2030 period. Within Europe, Germany is forecast to grow at approximately 10.6% CAGR.

MARKET OVERVIEW

Influencer Market InsightsWorld Market TrajectoriesIncreasing Demand for Digitalization, Advanced Analytics, Automation and AI in Insurance Sector Drives Growth for Insurance Analytics MarketOn-Demand Insurance Goes MainstreamCompetitionLeading Insurance Software Vendors in the Global Insurance Analytics MarketGlobal Insurance Market for the Year 2019: Percentage Share Breakdown of Value Sales by Leading VendorsInsurance Analytics – Global Key Competitors Percentage Market Share in 2022 (E)Impact of Covid-19 and a Looming Global RecessionCompetitive Market Presence – Strong/Active/Niche/Trivial for Players Worldwide in 2022 (E)

MARKET TRENDS & DRIVERS

Rapid Shift from Report-Driven Strategy to Data-Driven Decision Making in the Insurance Sector Propels Growth for Insurance AnalyticsGlobal Internet Data Generated Per Minute by Various Apps for the Year 2018Fast Adoption of Advanced Insurance Analytics Techniques: An Opportunity IndicatorGlobal Big Data Market: Revenues in US$ Billion by Segment for the Years 2019 and 2025Increasing Demand for Innovative Insurance Analytics Tools and Services Lead to GrowthGrowth in Adoption of AI and IoT in Insurance Sector Augurs Well for Insurance Analytics MarketGlobal IoT Connected Devices Market: Breakdown of Installed Base in Billion for the Years from 2015, 2018, 2021, and 2024Global AI Market: Revenues in US$ Billion for the Years 2015, 2018, 2021, 2024Consumer IoT Offers Significant Growth Opportunities for Insurance Analytics MarketGlobal IoT Market: Spending in US$ Billion by Segment for the Year 2019IoT Faces Data Management, Security and Ownership Challenges in Insurance Analytics MarketProduct OverviewInsurance Analytics: An IntroductionInsurance Analytics: Business ApplicationsProcess OptimizationRisk ManagementCustomer Management and PersonalizationClaims ManagementInsurance Analytics by TypeOn-Demand InsuranceOn-Premise Insurance

FOCUS ON SELECT PLAYERS

Applied Systems Inc.Birst, Inc.BOARD InternationalBridgei2i Analytics SolutionsGuidewire Software, Inc.Hexaware Technologies Ltd.IBM CorporationLexisNexis Group Inc.Microsoft CorporationMicroStrategy, Inc.OpenText CorporationOracle CorporationPalantir TechnologiesPegasystems, Inc.Prads Inc.Qlik Technologies, Inc.Salesforce.com, Inc.SAP SESAS Institute, Inc.Tableau Software, Inc.TIBCO Software, Inc.Verisk Analytics, Inc.Vertafore, Inc.

For more information about this report visit https://www.researchandmarkets.com/r/c01uep

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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EPG Publishes Inaugural ESG Report, Establishing Baseline for Sustainable Global Expansion

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SINGAPORE, April 19, 2026 /PRNewswire/ — EPG today released its 2025 ESG Report, outlining its sustainability approach and performance across global operations as it scales internationally.

Environmental EPG achieved full compliance with applicable environmental regulations, with 100% of waste treated and disposed of. The company completed its inaugural greenhouse gas (GHG) inventory, encompassing Scope 1, Scope 2, and key Scope 3 categories, establishing the foundation for its emissions management strategy and long-term decarbonization roadmap.

Social Female represented 31% of total employees, and 85% of employees recruited locally in Malaysia hold managerial positions. EPG maintained a diversified supply chain, with approximately 47% of suppliers based outside of mainland China.

Governance As of the date of this press release, the EPG Board of Directors includes two female directors, representing 22% of board members. The Board convened two meetings with 100% attendance.

As EPG matures its ESG framework, the company is forming a dedicated ESG Committee to oversee this progress. ESG management systems will be embedded into existing and planned facilities, starting with its Malaysia manufacturing plant currently under construction. EPG will also extend these standards through its supply chain at its upcoming Shanghai partner conference.

“Scaling globally only means something if we scale responsibly,” said Alick Wan, EPG Founder and Chairman. “We see an opportunity to redefine what sustainable infrastructure looks like for the AI era — proving that high performing infrastructure can also carry light footprint. We believe modular is how the industry gets there.”

EPG is proud to have contributed to the book Greener Data, Volume III, launching on Earth Day 2026. The chapter shared EPG’s philosophy on how modular construction reduces on-site waste, lowers embodied carbon, and enables full lifecycle sustainability, making the case that responsible scaling and commercial ambition are not in conflict.

Following approximately $200 million in Series B and B+ financing, EPG will keep strengthening company-wide ESG governance and scale its modular approach across an expanding international footprint.

Read the full report: https://www.epg-module.com/list-27-1.html

Contact: communications@epg-module.com

About EPG

EPG is a Singapore-headquartered provider of modular and prefabricated data center infrastructure, powered by dual R&D centers in Singapore and Shanghai and advanced manufacturing hubs in Malaysia and China. With over 20 years of engineering expertise, EPG delivers innovative and sustainable solutions for hyperscale, cloud, and enterprise deployments across APAC, EMEA, and other global markets.

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SOURCE EPG Singapore Pte Ltd

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Simpli5 Announces Platform Expansion Designed to Close the Gap Between Self-Awareness and Team Action

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Behavioral intelligence leader addresses the knowing-doing problem that leaves most assessment investments unrealized

AUSTIN, Texas, April 19, 2026 /PRNewswire/ — Simpli5, the behavioral intelligence platform that powers team effectiveness at organizations including LinkedIn, Kaiser Permanente, and Notion, today announced a significant expansion of its platform aimed at solving one of the most persistent challenges in enterprise learning and development: the knowing-doing gap.

While behavioral assessments have proliferated across the Fortune 500, the vast majority of users never return to their insights after initial onboarding — leaving significant organizational investment unrealized. The upcoming Simpli5 release is engineered specifically to close that gap, translating one-time self-awareness into an ongoing team practice embedded in the flow of daily work.

“Self-awareness that lives in a report is just data. Self-awareness that lives in your daily relationships is transformation,” said Karen Wright Gordon, Founder and CEO of Simpli5. “We built this because we knew the highest-value moments in our platform were sitting unused for too many users. These features are about closing that gap without adding friction.”

The expansion introduces a suite of interconnected capabilities designed to keep behavioral insights present in the flow of daily work — accessible at the moments that matter most, and creating reinforcing loops that grow in value as organizational adoption scales.

Unlike point-in-time assessments, Simpli5 is engineered to compound in value over time. Each connection made, each insight applied, and each colleague activated increases the network intelligence available to every user on the platform. The upcoming release is designed to accelerate that compounding effect.

Full feature details and availability will be announced in the coming weeks.

About Simpli5

Simpli5 powered by 5 Dynamics is a behavioral intelligence platform built on the science of five natural work energy phases: Explore, Excite, Examine, Execute, and Evaluate. Unlike static assessment tools, Simpli5 is a living team intelligence platform that deepens in value as adoption scales across an organization. Its AI coaching product, SenSai, delivers personalized behavioral insights at the moment of need.

For more information, visit simpli5.com.

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SK hynix Begins Mass Production of 192GB SOCAMM2 ‘Setting a New Standard for AI Server Memory Performance’

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–     Mass production of 192GB high capacity products designed for the NVIDIA Vera Rubin platform
–     Maximizes power efficiency by featuring high density DRAM based on the latest 1cnm process
–     Company to closely collaborate with NVIDIA to solve bottlenecks in AI infrastructure and provide optimal performance

SEOUL, South Korea, April 19, 2026 /PRNewswire/ — SK hynix Inc. (or “the company”, www.skhynix.com) announced today that it has begun mass production of the 192GB SOCAMM2, a next-generation memory module standard based on the 1cnm process (sixth-generation of the 10-nanometer technology) LPDDR5X low-power DRAM.

SOCAMM2[1] is a module that adapts low-power memory – which was previously used mainly in mobile products like smartphones – for server environments. It is designed to be a primary memory solution for next-generation AI servers.

[1]SOCAMM2 (Small Outline Compression Attached Memory Module 2): An AI server–optimized memory module based on LPDDR. It offers a slim form factor and high scalability, while its compression connector enhances signal integrity and allows for easy module replacement

SK hynix emphasized that the 1cnm based SOCAMM2 product that is now in mass production delivers more than double the bandwidth with over 75% improved power efficiency compared to conventional RDIMM[2], providing an optimized solution for high performance AI operations.

[2]RDIMM (Registered Dual In-Line Memory Module): DRAM module for server/workstation that includes a register or buffer chip to relay address and command signals between the memory controller and DRAM chip in a memory module

In particular, the company noted that its SOCAMM2 products are designed for NVIDIA Vera Rubin platform.

SK hynix expects the new SOCAMM2 product will fundamentally resolve the memory bottlenecks encountered during the training and inference of large language model (LLM) with hundreds of billions of parameters, thereby playing a pivotal role in dramatically accelerating the processing speed of the overall system.

The company stated that with the AI market shifting focus from inference to training, SOCAMM2 is gaining significant attention as a next-generation memory solution capable of operating LLMs with low power consumption. To meet the demands of its global Cloud Service Provider (CSP) customers, SK hynix has not only been providing a supply portfolio, but also stabilized its mass production system early on.

“By supplying the 192GB SOCAMM2, SK hynix has established a new standard for AI memory performance,” Justin Kim, President & Head of AI Infra (CMO, Chief Marketing Officer) at SK hynix said. “We will solidify our position as the most trusted AI memory solution provider, through close collaboration with our global AI customers.”

About SK hynix Inc.

SK hynix Inc., headquartered in Korea, is the world’s top-tier semiconductor supplier offering Dynamic Random Access Memory chips (“DRAM”) and flash memory chips (“NAND flash”) for a wide range of distinguished customers globally. The Company’s shares are traded on the Korea Exchange, and the Global Depository shares are listed on the Luxembourg Stock Exchange. Further information about SK hynix is available at www.skhynix.com, news.skhynix.com.

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SOURCE SK hynix Inc.

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