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  • NEW
    PEAK Matrix®

    Nov. 06, 2025
    Enterprises accelerating their adoption of AI and data-driven technologies now face an intensified need for specialized, AI-ready talent to sustain large-scale transformation. Organizations require deep expertise in machine learning, generative AI, Natural Language Processing (NLP), reinforcement learning, MLOps, and AIOps, along with strong foundations in AI ethics, governance, and responsible AI implementation. The rapid pace of technology evolution, widening skill gaps, and growing competition for niche expertise further compound this challenge. In response, organizations are increasingly partnering with IT and engineering providers that possess mature, future-focused AI talent strategies aligned with the evolving demands of intelligent automation and enterprise AI integration. Providers are proactively investing in AI-focused learning ecosystems, blending traditional upskilling programs with AI-driven personalized learning, internal academies, and project-based training models. They are also prioritizing AI and ML certifications from leading platforms to enhance workforce credibility and deployment readiness. In line with future-of-work principles, providers are embedding AI fluency across roles to enable seamless human-AI collaboration while redesigning talent engagement models to attract and nurture Gen Z professionals through purpose-driven, innovative, and inclusive workplaces. To sustain long-term capability, leading providers are strengthening career development frameworks, promoting continuous learning, and cultivating a culture of experimentation and ethical AI adoption – ensuring a resilient, future-ready workforce capable of driving next-generation transformation. In this report, we assess 33 IT providers featured on the Talent Readiness for Next-generation Data, Analytics, and AI Services PEAK Matrix®. The research will help buyers select the right-fit data, analytics, and AI provider for their needs, while data, analytics, and AI providers will be able to benchmark themselves against each other.
  • PEAK Matrix®

    Oct. 29, 2025
    AI is evolving unprecedentedly, with generative and agentic AI emerging as transformative forces driving enterprise reinvention. While generative AI continues to deliver significant value through content creation, workflow automation, and decision intelligence, advances in agentic AI are elevating the impact further – enabling autonomous operations, adaptive learning, and real-time orchestration. Together, these innovations are accelerating AI adoption across industries, propelling organizations beyond pilots to enterprise-scale strategic transformation. As enterprises expand their AI initiatives, the focus is shifting toward achieving measurable business outcomes, developing modular and scalable AI architectures, and reinforcing governance frameworks. Organizations are increasingly emphasizing responsible AI principles, security, and compliance while ensuring agility and interoperability across platforms. Simultaneously, there is a clear movement toward value-based partnerships, with pricing and engagement models centered around outcomes and shared success. In this report, Everest Group comprehensively evaluates 27 AI and generative AI providers, benchmarking them on market impact, vision, and capabilities. It features detailed provider profiles that highlight service portfolios, proprietary IP, innovation investments, and case studies. The report also offers key insights into buyer priorities, sourcing trends, and actionable recommendations to help enterprises make informed decisions in a rapidly evolving AI services ecosystem.
  • Viewpoint

    Oct. 27, 2025
    As AI becomes central to enterprise strategy, a striking reality is emerging: most organizations are limited not by their AI investments, but by their data foundation strengths. Fragmented systems, inconsistent governance, and siloed ownership continue to undermine AI success, leaving only a small fraction of enterprises truly ready to scale. This Viewpoint unpacks what it means to be data ready in the AI-first world. Drawing on a survey of 123 enterprises and in-depth data and AI leader interviews, it explores how trusted, high-quality, and well-governed data has become the defining factor separating AI ambitions from enterprise-wide adoption. The report introduces Everest Group’s seven pillars of data readiness spanning strategy, quality, accessibility, governance, foundation, culture, and data products and provides a practical framework to operationalize these capabilities across technology, talent, and governance dimensions. It also identifies the most common execution pitfalls and emerging risks that enterprises must navigate as AI adoption accelerates. By combining market data, best practices, and enterprise case study-based insights, the report offers business and technology leaders a clear roadmap to close the readiness gap and build resilient data
  • Tech Launch Perspective

    Aug. 13, 2025
    AWS is establishing a strong agentic AI foundation with new capabilities designed to help enterprises build, deploy, and manage AI agents. This report examines how AWS’ announcements at AWS Summit New York 2025 align with enterprise priorities around agent lifecycle enablement, multi-agent coordination, and robust governance. AWS is establishing a foundational platform for agentic AI with a modular, secure, and scalable stack. It is making strides to strengthen its position as a horizontal platform player with end-to-end agent lifecycle support. However, the market is in the early stages, and challenges remain around end-to-end agentic orchestration, RoI clarity, and scalable deployment. This report offers Everest Group’s assessment of AWS’ agentic AI product updates announced at AWS Summit New York 2025. Key additions include modular and secure deployment through AgentCore, AI agents and tools in AWS Marketplace, an agentic IDE called Kiro, Nova Act model, and native vector storage through S3 Vectors. However, limitations remain in multi-agent orchestration across platforms, enterprise-led data enablement, and RoI clarity. This report will help enterprises assess whether AWS’ agentic AI approach meets their specific needs and maturity levels.
  • PEAK Matrix®

    July 24, 2025
    European enterprises are advancing their data and AI agendas amid increasing demands for digital transformation, regulatory compliance, and localized innovation. This evolution is due to the General Data Protection Regulation (GDPR), the European Union Artificial Intelligence Act, multilingual and multicultural considerations, and the growing interest in sector-specific AI applications. However, challenges related to data estate modernization, governance, and access to skilled talent slow progress. To address these complexities, organizations are partnering with specialist service providers that offer deep domain expertise, regional delivery capabilities, and tailored solutions aligned with European business and regulatory environments. These providers differentiate themselves through focused investments in generative AI, responsible AI practices, and industry-specific accelerators. In this report, we evaluate 17 providers featured on the Data and AI Services Specialists – Europe PEAK Matrix® Assessment 2025.
  • Tech Launch Perspective

    May 27, 2025
    The AI market continues to grow rapidly, fueled by advancements in foundation models and increasing enterprise demand for scalable, domain-specific AI solutions. Organizations are prioritizing AI to drive automation, improve decision-making, and modernize operations across hybrid environments. IBM remains a key player in the AI space, with its Think 2025 announcements reinforcing a focus on modular, enterprise-grade AI through platforms such as watsonx, open-source Granite models, and agentic automation tools. New product updates highlight IBM’s efforts to deliver flexible deployment, secure infrastructure, and orchestration of gen AI at scale. In this report, we examine IBM’s latest announcements from Think 2025, identifying growth opportunities, enterprise challenges, and the company’s competitive positioning. The report further delves into IBM’s 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 IBM Think 2025 event Contents In this report, we examine: Key themes driving and inhibiting enterprise demand for AI IBM’s current positioning in the AI market Announcements from IBM Think 2025
  • 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
  • Tech Launch Perspective

    April 09, 2025
    The AI market continues to grow rapidly due to expanding enterprise data and AI-ML advances. Organizations are adopting AI solutions to drive digital transformation, enhance decision-making, and scale operational efficiency. At GTC 2025, NVIDIA underscored its commitment to advancing the AI ecosystem. It announced impactful updates to its AI hardware offerings and unveiled new models for reasoning and physical AI. These updates highlight a focus on broadening the horizons of AI and helping enterprises efficiently scale AI workloads. In this report, we analyze NVIDIA’s latest announcements from GTC 2025 against the AI market’s prevailing drivers and inhibitors. This report explores NVIDIA’s key offerings, differentiators, and areas where additional refinements could enhance its value proposition. Scope All industries and geographies This assessment is based on Everest Group’s participation in and monitoring of announcements made at the NVIDIA GTC 2025 event Contents In this report, we examine: Key themes driving and inhibiting enterprise demand for AI NVIDIA’s current positioning in the AI market Announcements from NVIDIA GTC 2025
  • Provider Compendium

    Feb. 17, 2025
    Enterprises adopt AI to cut costs, improve stakeholder experiences, and boost revenue, with investments set to rise as generative AI evolves. However, scaling AI remains difficult due to complex technology landscapes, legacy data challenges, unclear strategies, and data privacy concerns. Enterprises are moving from AI proofs of concept to high-value use cases, shaping their sourcing strategies. They prefer providers with advanced AI expertise, relevant project experience, and value-driven pricing models such as outcome-based and gain-sharing deals. Providers with industry-specific knowledge, talent upskilling strategies, strong AI governance, and deep technology expertise are well-positioned as enterprises seek reliable partners for measurable business outcomes. This compendium provides detailed profiles of 30 AI and generative AI service providers and will help enterprises choose the best-fit provider based on their sourcing considerations, while providers can 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 AI and generative AI providers, client reference checks, and an ongoing analysis of the AI and generative AI services market Contents This report features detailed assessments, including profile overviews, key solutions, investments, and case studies, of 30 providers that focus on AI and generative AI services. Membership(s) Artificial Intelligence (AI) Sourcing and Vendor Management