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Healthcare Analytics Market is expected to generate a revenue of USD 18.05 Billion by 2031, Globally, at 2.50% CAGR: Verified Market Research®

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Verified Market Research® a leading provider of business intelligence and market analysis is thrilled to announce the release of its comprehensive and authoritative report on the, “Healthcare Analytics Market Size and Forecast,” As healthcare systems worldwide increasingly adopt data-driven approaches, the demand for advanced analytics is soaring. This new report is designed to empower decision-makers in the healthcare industry by providing deep insights into how analytics can enhance patient outcomes, reduce operational costs, and drive strategic growth.

LEWES, Del., Oct. 24, 2024 /PRNewswire/ — The Global Healthcare Analytics Market Size is projected to grow at a CAGR of 2.50% from 2024 to 2031, according to a new report published by Verified Market Research®. The report reveals that the market was valued at USD 15.08 Billion in 2024 and is expected to reach USD 18.05 Billion by the end of the forecast period.

The Healthcare Analytics Market is witnessing rapid expansion as healthcare providers, payers, and pharmaceutical companies recognize the immense value of leveraging big data, AI, and machine learning to streamline operations and improve patient care. Our report delves into key segments, including descriptive, predictive, and prescriptive analytics, covering their applications in clinical, financial, and operational processes.

Key Insights of the Report Include:

Detailed Market Analysis: Explore the current landscape, including market size, growth projections, and key drivers fueling the adoption of healthcare analytics.Strategic Insights for Stakeholders: Identify emerging trends and technological advancements shaping the market, helping you stay ahead of the competition.Competitive Intelligence: Gain a thorough understanding of key players and their strategies, along with potential investment opportunities and market entry points.In-Depth Regional Analysis: A comprehensive breakdown of growth trends across North America, Europe, Asia-Pacific, and other key regions.

Why This Report Matters for Industry leaders:

For C-level executives, healthcare administrators, IT leaders, and analytics solution providers, this report serves as an indispensable tool for making data-driven decisions. With healthcare systems under pressure to improve efficiencies while controlling costs, our report highlights how adopting robust analytics frameworks can transform operations and enhance service delivery.

Stay ahead of the curve in the ever-evolving Healthcare Analytics Market. For more information or to request a sample copy of the report, please visit: https://www.verifiedmarketresearch.com/download-sample?rid=7585

Browse in-depth TOC on “Global Healthcare Analytics Market Size“

202 – Pages
126 – Tables
37 – Figures

Report Scope

REPORT ATTRIBUTES

DETAILS

STUDY PERIOD

2021-2031

BASE YEAR

2024

FORECAST PERIOD

2024-2031

HISTORICAL PERIOD

2021-2023

UNITS

Value in USD Billion

KEY COMPANIES PROFILED

IBM Corporation, Oracle Corporation, SAS Institute Inc., Optum, Inc. (part of UnitedHealth Group), Cerner Corporation, McKesson Corporation, MedeAnalytics, Inc., Inovalon, Inc., Allscripts Healthcare Solutions, Inc., Health Catalyst, Inc., Cotiviti, Inc., Wipro Limited.

SEGMENTS COVERED

By Component, By Deployment, By Application, By End User, And By Geography.

CUSTOMIZATION SCOPE

Free report customization (equivalent to up to 4 analyst’s working days) with purchase. Addition or alteration to country, regional & segment scope.

Global Healthcare Analytics Market Overview

Increasing Adoption of Big Data and AI in Healthcare: The amalgamation of big data and artificial intelligence is transforming the Healthcare Analytics Market, facilitating instantaneous decision-making and predictive insights. These technologies enable healthcare practitioners to offer tailored care and enhance resource efficiency. This transition is promoting extensive utilization of analytics solutions, encouraging innovation, and enhancing patient outcomes, necessitating that industry leaders invest in sophisticated healthcare analytics platforms.

Growing Demand for Cost-Effective Healthcare Solutions: Due to escalating healthcare expenses, enterprises are pursuing analytics to optimize processes and mitigate inefficiencies. The Healthcare Analytics Market is flourishing as payers and providers increasingly depend on data to optimize resource management, reduce operational expenses, and provide superior treatment. The increasing demand for economical solutions provides substantial potential for healthcare analytics companies to enhance their products and address the industry’s changing requirements.

Regulatory Mandates for Healthcare Data Management: Regulations such as HIPAA and GDPR mandate healthcare firms to uphold data security and guarantee transparency, hence increasing the demand for analytics systems capable of managing, analyzing, and safeguarding sensitive patient information. The Healthcare Analytics Market is poised for growth as regulatory compliance emerges as a primary concern for healthcare providers, prompting investments in solutions that provide secure, compliant data management and deliver actionable insights.

To Purchase a Comprehensive Report Analysis: https://www.verifiedmarketresearch.com/select-licence?rid=7585

High Implementation Costs: Despite the substantial advantages of healthcare analytics, the elevated initial expenses associated with implementing advanced analytics systems present a hurdle for small and medium-sized healthcare companies. This obstacle restricts the implementation of analytics solutions in resource-limited settings, hindering the overall expansion of the Healthcare Analytics Market and leaving potential opportunities unexploited for solution providers to deliver scalable, cost-efficient alternatives.

Data Privacy and Security Concerns: As healthcare systems increasingly rely on data, apprehensions around data breaches and patient confidentiality intensify. Organizations encounter mounting demand to protect sensitive information, which may impede the implementation of new analytics tools. This risk profoundly affects the Healthcare Analytics Market, as healthcare providers are hesitant to use solutions lacking robust security safeguards, hence creating opportunities for suppliers to innovate in secure analytics technology.

Lack of Skilled Workforce: The deficiency of professionals proficient in data analytics and healthcare technology poses a substantial constraint on the Healthcare Analytics Market. Healthcare organizations lacking requisite skills encounter difficulties in implementing and using analytics solutions, hence constraining their capacity to effectively utilize data for enhanced outcomes. This gap signifies an opportunity for training providers and consultants to address the deficiency by delivering specialized services that expedite the implementation of analytics solutions.

Geographical Dominance

North America occupies a preeminent role in the Healthcare Analytics Market, propelled by sophisticated healthcare infrastructure, extensive adoption of digital health technology, and favorable government initiatives. The region’s strength in innovation and investment enhances the demand for analytics solutions, establishing trends in global markets. This dominance propels market expansion as principal entities concentrate on enhancing their analytics services to address the rising healthcare needs worldwide.

Key Players

The “Global Healthcare Analytics Market” study report will provide a valuable insight with an emphasis on the global market.  The major players in the market are IBM Corporation, Oracle Corporation, SAS Institute Inc., Optum, Inc. (part of UnitedHealth Group), Cerner Corporation, McKesson Corporation, MedeAnalytics, Inc., Inovalon, Inc., Allscripts Healthcare Solutions, Inc., Health Catalyst, Inc., Cotiviti, Inc., Wipro Limited.

Healthcare Analytics Market Segment Analysis

Based on the research, Verified Market Research has segmented the global Healthcare Analytics Market into Component, Deployment, Application, End User and Geography.

Healthcare Analytics Market, by ComponentSoftwareServicesHealthcare Analytics Market, by DeploymentOn-PremiseCloudHealthcare Analytics Market, by ApplicationClinical AnalyticsFinancial AnalyticsOperational AnalyticsPopulation Health AnalyticsHealthcare Analytics Market, by End UserPayersProvidersHealthcare Analytics Market, by GeographyNorth AmericaU.SCanadaMexicoEuropeGermanyFranceU.KRest of EuropeAsia PacificChinaJapanIndiaRest of Asia PacificROWMiddle East & AfricaLatin America

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Leading Lab Analytical Instruments: Embracing the lab of future

Visualize Healthcare Analytics Market using Verified Market Intelligence -:

Verified Market Intelligence is our BI Enabled Platform for narrative storytelling in this market. VMI offers in-depth forecasted trends and accurate Insights on over 20,000+ emerging & niche markets, helping you make critical revenue-impacting decisions for a brilliant future.

VMI provides a holistic overview and global competitive landscape with respect to Region, Country, Segment, and Key players of your market. Present your Market Report & findings with an inbuilt presentation feature saving over 70% of your time and resources for Investor, Sales & Marketing, R&D, and Product Development pitches. VMI enables data delivery In Excel and Interactive PDF formats with over 15+ Key Market Indicators for your market.

About Us

Verified Market Research® stands at the forefront as a global leader in Research and Consulting, offering unparalleled analytical research solutions that empower organizations with the insights needed for critical business decisions. Celebrating 10+ years of service, VMR has been instrumental in providing founders and companies with precise, up-to-date research data.

With a team of 500+ Analysts and subject matter experts, VMR leverages internationally recognized research methodologies for data collection and analyses, covering over 15,000 high impact and niche markets. This robust team ensures data integrity and offers insights that are both informative and actionable, tailored to the strategic needs of businesses across various industries.

VMR’s domain expertise is recognized across 14 key industries, including Semiconductor & Electronics, Healthcare & Pharmaceuticals, Energy, Technology, Automobiles, Defense, Mining, Manufacturing, Retail, and Agriculture & Food. In-depth market analysis cover over 52 countries, with advanced data collection methods and sophisticated research techniques being utilized. This approach allows for actionable insights to be furnished by seasoned analysts, equipping clients with the essential knowledge necessary for critical revenue decisions across these varied and vital industries.

Verified Market Research® is also a member of ESOMAR, an organization renowned for setting the benchmark in ethical and professional standards in market research. This affiliation highlights VMR’s dedication to conducting research with integrity and reliability, ensuring that the insights offered are not only valuable but also ethically sourced and respected worldwide.

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BinBase Expands 2026 BIN Dataset with Instant Payout Intelligence for iGaming, Gambling, and Cross-Border Transfers

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July 24, 2026

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BinBase updates its 2026 dataset with specialized Fast Funds, Visa Direct, and Mastercard MoneySend indicators to help iGaming operators and payout platforms execute seamless, instant card disbursements.

MIAMI, July 23, 2026 /PRNewswire-PRWeb/ — BinBase, a global provider of payment routing intelligence and card issuing data, has introduced specialized instant payout indicators as part of its upgraded 2026 BIN Database. Tailored for iGaming operators, online gambling platforms, crypto-to-fiat ramps, and payout aggregators, the updated dataset helps platform engineers streamline real-time card disbursements and Push-to-Card (P2C) transactions.

In high-velocity sectors such as online betting and gaming, instantaneous player payouts are a primary driver of customer retention. However, executing Push-to-Card transactions through protocols like Visa Direct and Mastercard MoneySend requires knowing whether the receiving card issuer supports Fast Funds for specific merchant category codes (MCCs). Attempting instant payouts on non-eligible cards leads to declined transactions, elevated processing fees, and poor user experiences.

The 2026 BinBase release solves this operational bottleneck by delivering dedicated attributes for real-time fund disbursements:

Fast Funds Eligibility: Granular indicators identifying domestic and cross-border Fast Funds support across global Visa and Mastercard ranges.Online Gambling Fast Funds (OG FF): Dedicated flags specifically identifying card ranges authorized to receive real-time gambling and betting payouts.Mastercard MoneySend & Visa Direct Indicators: Precise protocol compatibility markers (MS Ind & MT Ind) ensuring push transactions are routed only to eligible recipient cards.Direct Debit & Pull-Funds Support: Indicators for recurring collections and account-funding transactions.

“Player payouts in iGaming cannot wait for standard 2-to-3-day ACH settlements,” said a spokesperson for Damiko Inc. “By embedding our Fast Funds and Gambling FF flags into their payment engines, operators can instantly validate recipient cards before initiating a transfer, guaranteeing high success rates and instant liquidity for their users.”

Fintech engineers and payout architects can examine the full 29-field database schema and access a free 2026 sample dataset on GitHub.

To explore commercial licensing, bulk database downloads, or custom data feeds, visit BinBase at https://binbase.com.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate processing fees.

Media Contact
Fedor Lavrikoff, BinBase, 1 7866133334, sales@binbase.com, www.binbase.com 

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Walnut Coding’s Young Coders Serve as ‘Instructors’ at Huawei Cloud Developer Training Camp

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12 minutes ago

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July 24, 2026

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Ages 8 and 15, students showcase AI-era project-building skills from concept to working application

BEIJING, July 23, 2026 /PRNewswire/ — Walnut Coding (the “Company”), a leading online platform for youth coding education, said two of its students – ages 8 and 15 – have joined the “instructor” lineup at Huawei Cloud Developer Training Camp, making them among the youngest “instructors” in the program’s history. The Company cites the pair as a prime example of how young learners can combine coding fundamentals with AI tools to turn ideas into working applications.

The two students, Bolin Du, 8, and Peiqi Gao, 15, built working applications using Huawei Cloud CodeArts, an AI coding assistant, then presented the projects to the training camp themselves – walking the audience through their design choices, technical builds, and debugging process.

The move lands at a moment when AI coding tools are forcing a rethink across the education sector. Tools that can generate functioning code from a plain-language prompt have undercut the traditional argument for teaching children to program – that they need the skill to build things themselves. Walnut Coding’s answer is that the more valuable skill now is judgment – knowing what problem to solve, breaking it into parts, and determining whether an AI’s output actually works.

Gao built a travel-planning application that generates routes, itineraries, and recommendations based on user input, handling the project end to end, from requirements and design through coding and debugging. Du, the younger of the two, built an interactive calendar application, using HTML for page structure, CSS for visual design, and JavaScript for interactive features. Both students then took on an instructor’s role at the camp, presenting their project goals and technical implementation to the audience – a step Walnut Coding says separated the work from a typical classroom assignment.

These were not classroom exercises but working projects, built and presented inside a professional developer-training environment. The experience demanded more from both students than simply producing something functional – they needed to articulate their reasoning, defend technical choices, and refine the final result under scrutiny. Their participation signals a broader shift underway in what youth coding education can deliver.

AI is making code generation easier, but it is also redrawing which skills actually matter. A student who relies only on one-click generation may get a rough prototype quickly, but still struggle to spot logical flaws, judge whether the output is reliable, or turn an abstract idea into a product that actually works. Students with programming foundations, by contrast, are better positioned to define requirements, evaluate what the AI produces, correct its errors, and treat the technology as a tool rather than a shortcut to lean on.

“AI can help children generate code faster, but it cannot decide for them what problem they should solve, nor can it make the final judgment about whether the result is truly effective,” said Pengxuan Zeng, founder and CEO of Walnut Coding. “What these two students demonstrated is not just coding technique, but the ability to define needs, break down tasks, verify outcomes, and turn an idea into a working product. That is why we believe young people still need to learn programming in the AI era.”

Walnut Coding structures its courses around that thesis, pairing student-led project work with teaching-assistant guidance and AI-assisted support. According to the Company, this data is continuously fed back into its systems to refine the personalization of AI-assisted feedback — a closed-loop process linking teaching, practice, feedback, and curriculum development.

The Company frames the payoffs less around producing professional software engineers than around a broader form of literacy. As AI continues to reshape how tasks get done, the ability to understand the technology, structure problems clearly and collaborate effectively with intelligent tools may prove one of the most durable skills a young learner can develop.

Walnut Coding says it plans to keep expanding opportunities for students to build practical projects, partner with industry technology platforms such as Huawei Cloud, and develop the core capabilities needed to build with technology in the AI era.

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MOREH Showcases High-Performance LLM Inference on AMD GPUs at AMD Advancing AI 2026

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July 24, 2026

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SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, participated in AMD Advancing AI 2026, AMD’s flagship annual AI event held in San Francisco on July 22–23 (local time), where it demonstrated its distributed inference solution, the MoAI Inference Framework, running on AMD GPUs.

At the event, Moreh presented a live demonstration of the GLM-5.1 large language model (LLM) powered by the MoAI Inference Framework on a system equipped with 32 AMD Instinct™ MI300X GPUs across four nodes. Visitors experienced the chatbot firsthand, evaluating its response speed and service quality while observing performance across a range of real-world use cases.

Unlike conventional demonstrations that simply run an AI model, Moreh’s showcase displayed key inference service metrics in real time, including GPU utilization, Tokens Per Second (TPS), Time To First Token (TTFT), and Time Per Output Token (TPOT). This enabled attendees to directly verify both inference performance and GPU resource efficiency in a production-like service environment.

Global AI industry leaders and enterprise customers attending the event expressed strong interest in the system’s fast response times and stable performance. In particular, the live deployment of the computationally demanding GLM-5.1 model on AMD GPUs at production-grade service levels received positive feedback from visitors.

Moreh’s MoAI Inference Framework is widely recognized as the world’s first commercially deployed distributed inference solution built for the AMD ecosystem. Its distributed inference and heterogeneous computing technologies are designed to dramatically reduce AI service costs, enabling broader adoption of AI worldwide. The technology addresses one of the industry’s biggest challenges-the rapidly rising infrastructure and service costs caused by increasingly larger AI models-by delivering a more efficient inference infrastructure.

Moreh CEO Gangwon Jo stated, “This event provided an opportunity for global customers to verify firsthand that top-tier inference performance can be achieved on AMD GPU environments,” and added “We will continue advancing our AI infrastructure software so enterprises can operate AI services as efficiently as possible, regardless of the underlying GPU platform.”

Moreh develops its own AI infrastructure engine and has expanded its end-to-end AI capabilities through its foundation LLM subsidiary, Motif Technologies, covering both AI infrastructure and foundation models. The company is also strengthening its presence in the global AI market through strategic partnerships with leading technology companies, including AMD and Tenstorrent.

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