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  • NEW
    Viewpoint

    July 07, 2025
    In today’s volatile and growth-focused economic landscape, with increasing stakeholder expectations, traditional Financial Planning and Analysis (FP&A) systems are no longer sufficient. These systems are often static, rely on manual data consolidation, and offer siloed reporting, making them unable to keep pace with modern enterprises’ dynamic needs. Finance leaders are now expected not only to interpret historical performance but also to steer business strategy in real-time. Systems of Execution (SoE) are autonomous, decision-executing enterprise platforms that close the gap between insight and action. Unlike traditional systems of record or engagement, SoE unify real-time data integration, AI-orchestrated decision-making, and autonomous execution to equip FP&A teams with continuous, adaptive planning capabilities. These platforms enable enterprises to respond proactively to external shocks, dynamically model business scenarios, and align finance operations with enterprise-wide strategic objectives.
  • PEAK Matrix®

    June 04, 2025
    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
  • Provider Compendium

    May 26, 2025
    The People Analytics Platform Provider Compendium 2025 report analyzes 17 leading people analytics platform technology providers’ offerings and capabilities. The report combines information from interactions with technology providers and Everest Group’s proprietary intellectual property to create precise, fact-driven profiles. Each profile comprises company overviews, recent investments and developments, market adoption trends, client portfolio compositions, and strategic partnerships. Furthermore, these profiles feature thorough product summaries, detailing functionalities and recent key enhancements. By leveraging primary data from providers and Everest Group’s internal expertise, this in-depth analysis is a valuable tool for organizations navigating the people analytics platform landscape, enabling visibility across people analytics platforms available in the market. Scope All industries and geographies Contents In this report, we evaluate 17 people analytics platform providers. For each provider, we examine: Recent deals and announcements Market adoption and partnership overview Client portfolio mix and key clients Product overview Product features and functionalities Key enhancements Providers’ core capabilities and other unique capabilities Case studies
  • PEAK Matrix®

    May 14, 2025
    Enterprises across North America are advancing their data and AI strategies while grappling with infrastructure, governance, and talent-related challenges. As generative AI adoption gains momentum, organizations focus on scalable, business-aligned solutions that deliver measurable impact. To navigate this evolving landscape, they are turning to specialist service providers with deep domain expertise and advanced AI capabilities. In response, providers are strengthening their offerings through investments in generative AI, cloud-based AI platforms, and industry-specific accelerators. In this report, we evaluate 32 providers featured on Everest Group’s Data and AI Services Specialists – North America PEAK Matrix® Assessment 2025.  
  • Provider Compendium

    April 14, 2025
    Enterprises are increasingly identifying gaps in their data ecosystems as they seek to harness generative AI’s full potential. To address these gaps, businesses are prioritizing their data strategy to build AI-ready data ecosystems. AI advances have amplified the importance of robust data management and governance. When scaling their AI initiatives, they are realizing the value of trustworthy data to ensure quality, consistency, and security. The focus has shifted to realizing value, with enterprises aiming to drive tangible business outcomes from their data initiatives. Enterprises demand their data strategies to deliver measurable business outcomes, leading to productivity gains, operational efficiencies, and unlocking new revenue streams. Data initiatives are now vital investments that directly contribute to building a competitive advantage in the market. This compendium provides detailed profiles of 31 service providers to assist D&AI service buyers in selecting providers that can serve their needs. The report helps enterprises choose the best-fit provider based on their sourcing considerations and empowers providers to benchmark their performance against their peers. Scope All industries and geographies This assessment is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading D&AI providers, client reference checks, and an ongoing analysis of the D&AI services market Contents In this report, we: Examine the D&AI services market Classifies providers into Leaders, Major Contenders, and Aspirants on a capability-market-impact matrix Assess providers’ key solutions, delivery centers, investments, and use cases Lending operations technology solutions/tools: brief descriptions of key technology solutions
  • PEAK Matrix®

    April 11, 2025
    In today’s dynamic business environment, enterprises struggle with several challenges related to HR data infrastructure, including fragmented data across systems, low analytics maturity, data security concerns, and limited clarity around predictive modeling. In response, people analytics platforms are evolving rapidly, offering solutions that support diverse use cases, such as workforce planning, skill gap identification, providing end-to-end visibility across the employee lifecycle, and real-time sentiment analysis. These platforms cater to HR leaders and empower line managers and business leaders with actionable workforce insights. In this report, we evaluate 23 people analytics platform providers’ capabilities. The report helps buyers select the right-fit technology providers for their needs and empowers providers to benchmark themselves against each other. Scope All industries and geographies Contents In this report, we: Evaluate 23 people analytics platform providers Position the providers as Leaders, Major Contenders, and Aspirants Assess the people analytics platform market Analyze key enterprise sourcing considerations Compare providers’ key strengths and limitations
  • Provider Compendium

    Feb. 28, 2025
    Decentralized and hybrid designs add more complexity to clinical trials, generating vast data volumes from diverse sources. This complexity creates significant data management challenges. In response, sponsors are adopting unified clinical Data and Analytics (D&A) platforms to centralize and standardize clinical data for actionable insights, offering real-time monitoring, predictive analytics, and risk management. These platforms transform disparate datasets into cohesive, structured formats, helping stakeholders detect outliers, predict adverse events, and generate on-demand dashboards and reports. D&A platforms offer centralized repositories, Risk-based Quality Management (RBQM), and seamless integration with Electronic Health Records (EHRs), wearables, and medical devices. These features improve data access and interoperability, contributing to more informed decision-making and enhanced quality and risk oversight. To meet sponsor needs, clinical D&A platform providers are integrating AI and generative AI to automate repetitive tasks, generate insights, and strengthen quality and risk management. In this report, we analyze 18 clinical D&A platform providers’ capabilities and offerings. The report empowers buyers to select the right provider for their sourcing considerations and enables providers to benchmark themselves against their competition. Scope Industry: life sciences Geography: global Contents In this report, we: Examine the clinical D&A platform provider landscape Assess clinical D&A platform providers on their capabilities and market success-related dimensions Membership(s) Clinical Development Technology Sourcing and Vendor Management
  • Provider Compendium

    Feb. 20, 2025
    Enterprises are increasingly recognizing their data ecosystem gaps as they strive to fully harness generative AI’s potential. Consequently, they are prioritizing AI-ready data ecosystems, emphasizing robust data management and governance. When scaling their AI initiatives, they are gradually realizing trustworthy data’s value to ensure quality, consistency, and security. In addition, the focus has shifted toward realizing value, with enterprises aiming to drive tangible business outcomes from their data initiatives. Enterprises demand their data strategies to deliver measurable business outcomes. This has led to a sharp focus on driving productivity gains, operational efficiencies, and unlocking new revenue streams. Data initiatives are now viewed as vital investments to gain a competitive edge in the market. This compendium provides detailed profiles of 27 providers featured on Everest Group’s D&A Services PEAK Matrix® Assessment 2024. This report will help enterprises choose the best-fit provider based on their sourcing considerations, while providers will be able to benchmark their performance against their peers. Scope All industries and geographies The assessment is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading specialist AWS service providers, client reference checks, and an ongoing analysis of the cloud services market Contents This report features detailed assessments, including profile overviews, key solutions, delivery centers, investments, and case studies of 27 providers that focus on D&A services. Membership(s) Data & Analytics Sourcing and Vendor Management
  • Viewpoint

    Jan. 10, 2025
    Enterprise AI platforms are at the forefront of digital transformation, enabling businesses to innovate, compete, and operate efficiently. These platforms empower organizations to streamline processes, enhance decision-making, and accelerate their AI adoption journeys by unifying data governance, model training, deployment, and monitoring in a single ecosystem. Gen AI further amplifies this by enabling dynamic automation, content generation, and personalized customer interactions. In this report, we analyze enterprise AI platforms, including their architecture, core components, and technology advances. The report highlights key trends shaping these platforms’ adoption, including the rise of Small Language Models (SLMs) tailored to specific business needs, the growing importance of ethical AI governance, and the integration of real-time decision-making capabilities. It also examines enterprise challenges in scaling AI adoption. This research offers valuable insights for businesses harnessing AI platforms for sustainable growth and competitive differentiation. Scope Industry: cross-industry Geography: global Contents In this report, we examine: Introduction to enterprise AI platforms: overview of architecture, capabilities, and definitions Technology advances: insights into gen AI, agentic AI, and governance tools shaping platform capabilities Market trends and drivers: the role of SLMs, real-time analytics, and scalable AI solutions in adoption Ecosystem evaluation: leading players across big tech, data management heritage, native AI, and specialized AI providers Challenges and strategic solutions: addressing integration, data complexity, and cost management Membership(s) Artificial Intelligence (AI) Sourcing and Vendor Management
  • Tech Launch Perspective

    Dec. 24, 2024
    The Data and Analytics (D&A) and AI market continues to grow rapidly, fueled by expanding enterprise data and AI-ML advances. Organizations are turning toward D&A and AI solutions to drive digital transformation, enhance decision-making, and scale operational efficiency. At re:Invent 2024, AWS showcased its commitment to advancing the D&A and AI ecosystem with impactful updates to its platforms and tools and introducing new generative AI foundational models. These enhancements emphasize scalability, multi-model flexibility, and enterprise readiness, addressing the complete AI life cycle, from data processing to model deployment, while maintaining a strong focus on security and governance. In this report, we analyze AWS’ latest announcements from re:Invent 2024, identifying growth opportunities, enterprise challenges, and the company’s competitive positioning. The report further delves into AWS’ key offerings, major differentiators, and areas where additional refinements could enhance its value proposition. Scope All industries and geographies The assessment is based on Everest Group’s participation in and monitoring of announcements made at the AWS re:Invent 2024 event Contents In this report, we: Key themes driving and inhibiting enterprise demand for D&A and AI AWS’ current positioning in the D&A and AI market Announcements from AWS re:Invent 2024 Membership(s) Data & Analytics Artificial Intelligence (AI) Sourcing and Vendor Management