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  • 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
  • Webinar

    March 04, 2025
    In 2024, the AI ecosystem advanced significantly across hardware, language models, and applications. Yet, fully scaled generative AI initiatives remain a challenge as organizations face budget constraints, legacy data issues, and other barriers. In this webinar, our experts explored how generative AI adoption is evolving across industries, examined the impact of emerging AI regulations, highlighted innovations across the AI value chain, and discussed the shifting technology ecosystem. Attendees gained actionable insights to plan their 2025 AI deployments. What questions did the webinar answer? What is driving interest in generative AI now? How is the AI ecosystem evolving across industries? What role will emerging AI regulations play in shaping the AI landscape? What are the key themes and innovations expected to impact generative AI in 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
  • Viewpoint

    Feb. 12, 2025
    Modern Data Stack (MDS) components are the foundational building blocks of any data ecosystem. Over the years, these components have transformed significantly to meet growing enterprise demands due to the increasing recognition of data as a vital asset in enabling digital transformation for a sustained competitive advantage. To navigate this landscape, enterprises must formulate a well-defined data strategy aligning with their unique needs and goals. This strategy should comprehensively evaluate MDS components, identify the most relevant ones, determine their integration, and assess their potential to deliver measurable business impact. Chief Data Officers (CDOs) will be pivotal in this process as they must carefully balance innovation with RoI. Scope All industries and geographies Contents In this report, we examine: Demand themes driving the shift in MDS Overview of MDS 2.0 The technology provider ecosystem for MDS Key considerations for CDOs when exploring MDS Membership(s) Data & Analytics Sourcing and Vendor Management
  • Viewpoint

    Jan. 24, 2025
    AI is transforming today’s business world by personalizing customer experiences and optimizing complex operations. Among the advances driving this digital transformation, generative AI has garnered significant market attention by creating new content, solving business-specific challenges, and unlocking automation opportunities. However, the underlying technology enabling these breakthroughs – foundation models – is where the true revolution lies. These models’ broader capabilities and impact extend far beyond generative applications. Foundation models, such as BERT, GPT, and Stable Diffusion, are large-scale ML models trained on vast datasets to perform a wide range of tasks. They power chatbots, search engines, code-writing assistants, image generators, and medical research. Integrated into digital transformation’s core, foundation models help organizations efficiently address real-world challenges. However, developing and deploying these models demands significant resources and expertise, highlighting the need for organizations to understand their potential and related trends. This viewpoint examines foundation models as the fundamental building blocks of AI’s future, exploring their architecture, applications, and challenges. Organizations can use this report to understand foundation models, assess their trajectory, and strategically adopt them to drive innovation and gain a competitive edge. Scope All industries and geographies Contents In this report, we examine: Foundation models’ introduction and brief history Characteristics and types of foundation models Market overview and provider landscape The current state of the market and future outlook Membership(s) Artificial Intelligence (AI) Sourcing and Vendor Management
  • PEAK Matrix®

    Jan. 23, 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 gradually realizing the value of trustworthy data 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 increasingly seen as a vital investment that directly contributes to building a competitive advantage in the market. In this report, we analyze 31 providers featured on Everest Group’s Data and AI (D&AI) Services for Mid-market Enterprises PEAK Matrix® 2025, highlighting their strengths and limitations. The study will enable buyers to choose the best-fit provider based on their sourcing considerations, while providers will be able to benchmark their performance against each other. Scope All industries and geographies The 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: D&AI provider landscape D&AI Services for Mid-market Enterprises PEAK Matrix® Assessment 2025 characteristics Enterprise sourcing considerations Membership(s) Data & Analytics 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