Europe and APAC are at the forefront of healthcare transformation, driven by rising care demands, health equity goals, and digital acceleration. Healthcare enterprises across both regions are adopting scalable, tech-enabled models to deliver integrated, patient-centric care. Providers in Europe and APAC are adopting digital tools, such as telehealth, patient portals, and virtual wards, to address workforce shortages, expand access, and enable coordinated, patient-centric care. Payers are shifting to member-centric insurance models that reward preventive care and support personalized services, such as wellness programs and chronic disease management. This report outlines key trends shaping these markets, including payer-provider collaborations, government-led transformation frameworks, and patient-focused innovation. It analyzes regional HealthTech maturity stages, highlights market-specific priorities, and assesses opportunities in care coordination, claims management, and digital engagement. The report serves as a strategic guide for stakeholders aiming to scale their digital health presence in Europe and APAC.

In today’s dynamic healthcare landscape, Patient and Member Engagement (PME) has become a strategic imperative for healthcare enterprises and service and platform providers. Historically overlooked and limited to administrative touchpoints, PME has evolved into a mission-critical function that impacts patient/member satisfaction and business outcomes, such as retention, medication adherence, care outcomes, and cost improvements. Rising expectations, omnichannel demand, regulatory pressures, and advanced technology have accelerated the transition toward seamless, intelligent, and personalized engagement across the care journey.  In this report, we analyze the PME’s evolving role in healthcare and its significance in driving better outcomes. The report assesses key adoption trends, identifies technology and organizational accelerators, and highlights the barriers that limit PME’s scaling across the industry. Focusing on real-world enterprise priorities, the report outlines how healthcare organizations are using gen AI, predictive analytics, and agentic AI to enable self-service, deliver personalized communication, and proactively retain members and patients.  Additionally, the report examines the emergence of Systems of Execution (SoE) and their potential to unify data, drive AI-led engagement, and convert insights into real-time execution across touchpoints. It also provides sourcing guidance and strategic recommendations for payers and providers, emphasizing the need for a PME lead to drive enterprise alignment and measure experience success. 

As healthcare continues its transition to value-based, patient and member-centric care models, CIOs are increasingly under pressure to deliver seamless, proactive, and personalized experiences across the care continuum. Traditional Customer Relationship Management (CRM) platforms digitize communications but fall short in orchestrating real-time, intelligent engagement. The result is often fragmented experiences, high patient churn, inefficient workflows, and unmet member expectations. To address these limitations, healthcare enterprises are turning to Systems of Execution (SoE) – intelligent platform layers that go beyond passive data repositories to drive real-time decisioning and workflow automation across clinical and administrative functions. SoE represent the next evolution of CRM, which makes it capable of orchestrating adaptive, AI-driven engagement journeys that respond dynamically to clinical risk signals, social determinants of health, and benefit changes. In this Viewpoint, we explore SoE’s transformative potential across healthcare CRM by highlighting real-world use cases that improve care coordination, automate workflows, and elevate patient and member engagement.. Scope Industry: healthcare Geography: global Contents In this report, we explore: SoE’s role in transforming patient and member engagement across healthcare organizations A detailed roadmap for healthcare CIOs to implement SoE effectively, including foundational enablers such as unified data fabrics, AI-powered decision engines, and adaptive workflows A three-stage SoE maturity model with illustrative use cases and implementation best practices for each stage Strategic guidance to align CRM modernization with value-based care goals to improve engagement, care coordination, and operational efficiency

Healthcare enterprises are increasingly recognizing the strategic value of Data, Analytics, and AI (DAAI) as data-driven decision-making becomes central to achieving business and clinical outcomes. While DAAI initiatives have traditionally focused on cost containment and operational efficiencies, there is now a clear shift toward enhancing patient experiences and driving improved health outcomes. This evolving focus is prompting organizations to invest in robust data integration capabilities and advanced analytics, with particular emphasis on data privacy, value-based care, and population health management. Although payers have historically led DAAI adoption, providers are rapidly advancing their capabilities. They are essential in shaping enterprise DAAI strategies and roadmaps, modernizing infrastructure, and delivering actionable insights that support high-impact decision-making. As a result, healthcare organizations are realizing measurable improvements in performance, care delivery, and patient engagement. In this report, we assess 32 healthcare DAAI providers featured on the Healthcare Data, Analytics, and AI Services PEAK Matrix® Assessment 2025. The report analyzes the healthcare DAAI services market size, DAAI service themes for healthcare enterprises, and providers’ capabilities and market success. The research will enable enterprises to select the best-fit provider for their sourcing needs. Scope Industry: healthcare Service: healthcare DAAI services Geography: global Contents In this report, we assess: Healthcare DAAI services market trends Each provider’s capabilities and market success Providers’ key strengths and limitations

Healthcare organizations generate massive data volumes from EHRs, IoT, labs, and billing systems, making effective data management essential. Interoperability, governance, and real-time analytics challenges hinder seamless data flow and insight generation. Healthcare data platforms address these issues by offering AI-driven analytics, ETL pipelines, and EHR connectivity, transforming raw data into actionable insights. These platforms improve operational efficiency, enhance patient outcomes, and enable data-driven decision-making. However, balancing innovation with compliance remains vital as organizations navigate regulatory complexities and privacy concerns. Advanced solutions ensure secure, scalable, and intelligent data management, enabling predictive analytics and real-time interoperability. As the healthcare landscape evolves, data platforms will be pivotal in optimizing workflows, streamlining care coordination, and driving digital transformation across the industry. In this report, we analyze the data platforms landscape, including key solution components, considerations to select the right tool, and leading providers. It highlights healthcare data platforms’ evolution from traditional data storage to AI-driven analytics, real-time interoperability, and predictive insights. The report profiles 15 leading technology providers that offer data platforms, highlighting their capabilities and industry use cases. Scope Industry: healthcare Domain: healthcare data platforms Geography: global Contents In this report, we provide: Each provider’s company overview Provider’s capability, market trends, and innovation dimensions Case studies demonstrating capabilities in the healthcare data management space Membership(s) Healthcare Payer and Provider Information Technology Sourcing and Vendor Management

In recent years, technology enterprise adoption and digitalization have significantly reshaped Revenue Cycle Management (RCM), transforming how healthcare providers optimize financial performance and patient engagement. To enhance provider reimbursements, streamline claims processing, and accelerate value-based care initiatives, healthcare providers have made digital adoption their RCM strategies’ foundation. To meet growing enterprise demands, RCM platform providers are expanding their capabilities through investments in AI/gen AI-driven automation, strategic partnerships, and acquisitions to drive efficiency and financial sustainability. In this report, we evaluate 22 RCM platform providers mapped on the Everest Group PEAK Matrix® framework. The report analyzes the RCM platform market size, growth trends, and key capabilities, offering insights into market success metrics. It offers enterprises the information they need to make informed sourcing decisions in the evolving RCM landscape. Scope Industry: healthcare Product: revenue cycle management Geography: US Contents In this report, we: Assess healthcare RCM platforms market trends Examine each platform provider’s capability and market success-related dimensions Analyze platform providers’ key strengths and limitations Membership(s) Healthcare Payer and Provider Information Technology Revenue Cycle Management Sourcing and Vendor Management

In the past few years, enterprise adoption of technology and digitization has significantly increased, changing the landscape for healthcare providers and patients. To improve provider reimbursements, patient engagement, and care management and accelerate value-based care programs, healthcare enterprises have made digital adoption their growth strategies’ cornerstone. To address these emerging enterprise demands, providers are expanding their AI offerings, engaging in vertical-specific partnerships and acquisitions, and investing in centers of excellence. In this report, we examine 35 healthcare provider digital service providers featured on Everest Group’s PEAK Matrix® framework based on their capabilities. The report analyzes the provider digital services market size and growth and digital service themes for healthcare providers. It assesses providers on several capability- and market success-related dimensions and offers valuable insights to help enterprises make the right sourcing decisions. Scope Industry: healthcare Service: healthcare provider digital Geography: global Contents In this report, we: Assess healthcare provider digital services market trends Examine each provider’s capability- and market success-related dimensions Compare providers’ key strengths and limitations Membership(s) Healthcare Payer and Provider Information Technology Sourcing and Vendor Management

The healthcare industry is significantly investing in cloud services for health data analytics, value-based care, population health, and interoperability. As healthcare enterprises embark on their next growth phase, they leverage industry cloud to future-proof their technology infrastructure and enhance value delivery. In response, providers are partnering with and investing in centers of excellence and innovation labs to accelerate cloud capabilities. This report provides 34 service providers’ comprehensive, fact-based snapshots, including their revenue scale, client base and company overview, revenue split by geography, segment, value chain, and buyer size, along with Everest Group’s PEAK Matrix®  provider assessment. The report will enable current and potential healthcare industry cloud services buyers to assess the service providers on their strengths and limitations, based on their desired capabilities. Scope Industry: healthcare Offering: healthcare industry cloud Geography: global (with focus on the US) Contents In this report, we examine 34 healthcare industry cloud service providers based on their: Scale of operations: client base overview, revenue, revenue split by segment, value chain, buyer size, and geography Major case studies and consultative frameworks Proprietary solutions and key events Memeberships Healthcare Payer and Provider Information Technology Sourcing and Vendor Management

Revenue Cycle Management (RCM) platforms automate financial processes in the healthcare industry, optimizing the revenue cycle from patient registration and appointment scheduling to final bill payment. Healthcare organizations increasingly evaluate RCM platform providers based on the functionalities, features, and technical support they provide. Demand is high for solutions such as patient engagement, denial management, and medical coding, as healthcare providers prioritize solutions that address current challenges and provide flexibility for future developments in the healthcare landscape. In this compendium, we assess 20 RCM platform providers on the RCM Platforms PEAK Matrix®. The study will enable buyers to choose the best-fit providers based on their sourcing considerations, while providers will be able to benchmark their performance against the competition. Scope Industry: healthcare Geography: US The assessment is based on Everest Group’s annual RFI process for calendar year 2023, interactions with leading RCM platform providers, client reference checks, and an ongoing analysis of the RCM platforms market Contents In this report, we examine 20 RCM platform providers for their: Scale of operations: client base overview, revenue, revenue split by value chain and buyer size Key case studies Proprietary solutions and key events Membership(s) Healthcare Payer and Provider Information Technology Sourcing and Vendor Management

Generative AI, a technology that can create new and unique content, imitate human creativity, and address complex healthcare issues, is transforming the healthcare industry. By integrating generative AI into healthcare processes, healthcare organizations can realize significant benefits across various operational areas. They currently face challenges such as clinicians dealing with excessive administrative tasks, diagnostic errors, and patients encountering unsatisfactory experiences. Generative AI offers numerous opportunities to overcome these challenges. While the use of generative AI in healthcare is in its early stages, healthcare organizations are actively developing strategies to incorporate it into their practices. The aim is to enhance care management and automate administrative tasks. However, it is important to address issues related to data privacy, ethics, and system integration to fully realize the potential of generative AI in healthcare. This report highlights the significant potential of generative AI in healthcare, outlining how organizations can harness its power to improve care management and patient outcomes. Additionally, it explores the impact on healthcare entities, identifies key focus areas, and addresses challenges in implementing this transformative technology. Scope Industry: healthcare Geography: global Contents In this report, we examine: Generative AI’s impact on healthcare entities Generative AI’s integration within the payer and provider journey The supplier ecosystem in generative AI Considerations regarding trust and safety An implementation plan for generative AI in healthcare Membership(s) Healthcare Payer and Provider Information Technology Sourcing and Vendor Management