AI, including generative AI, has moved beyond being an emerging technology confined to experimentation to being integral to enterprise strategies. Across industries, organizations are experiencing measurable gains from pilot projects in areas such as productivity improvement. The next logical step is to scale these initiatives from pilot stages to full-scale production to unlock their transformative potential. However, transitioning from pilot to production is a complex journey that demands addressing various challenges and adopting success factors. Enterprises must tackle essential aspects such as defining an enterprise-wide AI strategy, prioritizing AI use cases, establishing an effective AI operating model, ensuring data readiness, building AI talent, implementing a scalable AI technology stack, and integrating responsible AI practices. Success in scaling AI depends on clearly understanding these factors, avoiding common pitfalls, and adopting best practices. Scope All industries and geographies Contents In this report, we delve into the essential aspects of scaling AI, providing insights into: AI and generative AI’s strategic importance Key business drivers behind AI adoption The current state of AI and generative AI adoption The success factors to scale AI from pilot to production Common pitfalls to avoid while scaling AI initiatives Future trends and outlook in AI

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

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

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. Microsoft has solidified its position as a key provider in the D&A and AI ecosystem, offering end-to-end solutions that seamlessly integrate into enterprise environments. At Ignite 2024, Microsoft unveiled innovations designed to streamline data workflows, advance generative AI capabilities with a focus on AI agents, and reinforce security and governance to meet enterprise-grade requirements. These updates aim to improve productivity, drive automation, and enable context-aware decision-making across industries. In this report, we analyze Microsoft’s latest announcements from Ignite 2024, identifying growth opportunities, enterprise challenges, and the company’s competitive positioning. The report further delves into Microsoft’s key offerings, major differentiators, and areas where additional refinement 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 Microsoft Ignite 2024 event Contents In this report, we examine: Key themes driving and inhibiting enterprise demand for D&A and AI Microsoft’s current positioning in the D&A and AI market Announcements from Microsoft Ignite 2024 Membership(s) Data & Analytics Artificial Intelligence (AI) Sourcing and Vendor Management

What is the Everest Group AI Top 50™? Everest Group AI top 50™ is a global list of largest AI-first technology providers. The listing is based on multiple objective parameters including their Artificial Intelligence (AI) revenues, cumulative funding, share of funding received in the past two years, and valuation. This 2023 is the inaugural release of this list – the first of what will become an annual event. Why the Everest Group AI Top 50™? In today's rapidly evolving technological landscape, it is increasingly vital to understand the dynamic AI landscape. With its groundbreaking innovation, AI continues to reshape industries, optimize processes, and redefine human-machine interactions. The technology itself has garnered substantial interest, giving rise to more than 5,000 AI technology providers in the past decade alone, according to our estimates. Some are focused on a particular domain or geography, while others are broad-based. Some are listed; others are privately held. This list helps enterprises to identify technology providers in this space that have reached significant scale. It also helps AI-first technology providers to compare themselves against others in the industry. How is the Everest Group AI Top 50™ determined? The analysis was initiated with a list of more than 2,000 AI technology providers, further narrowed down to 250+ providers based on preliminary assessments. Qualification criteria: AI-first: listed companies develop and integrate AI as a central component in their products and solutions to a degree that – without it – their offerings would be fundamentally incomplete. The listing  excludes, for example, providers that have AI as a feature that helps them improve their current offerings, such as automation-first vendors.  Software-first: listed providers develop and provide software-based AI solutions as their primary offering. The list excludes pure-play hardware and service-based AI providers. B2B focus/offerings: those on the list offer software products and solutions to meet other businesses’ technology needs. The list excludes providers that exclusively offer AI solutions for B2C   purposes. Rank determination: technology providers are ranked based on their overall AI revenue, total funding received, share of funding received in the past two years, and valuation.

Enterprises adopting outcome-based analytics and Artificial Intelligence (AI) are unable to maximize the technologies’ benefits because of data-related challenges, analytics and AI talent’s shortage in the market, and organizational unpreparedness. To address these challenges, they are looking for specialist providers with strong domain expertise in advanced technologies. Analytics and AI services specialists are well-positioned to help enterprises adopt and scale initiatives due to their proactive investments in data-engineering capabilities, in-depth experience in catering to domain- or industry-specific analytics requirements, and investments in acquiring and upskilling advanced analytics and AI talent. In this report, we provide detailed profiles of 26 analytics and AI services specialists featured on Everest Group’s Analytics and AI Services Specialists PEAK Matrix® 2024. The profiles offer each specialist’s comprehensive overview, including an operational overview, geography focus, industry focus, buyer size, delivery locations, solutions offered, investments, partnerships, and case studies. Scope All industries and geographies Services across the analytics and AI services value chain – strategy and consulting, business intelligence and reporting, advanced analytics and insights, data engineering, AI, and generative AI Contents In this report, we analyze the global analytics and AI services specialists’ landscape and focus on: 26 specialists’ strengths and limitations Specialists’ leadership, presence across geographies and industries, revenue estimates, and buyer size focus Analytics and AI services delivery locations Analytics and AI services Intellectual Property (IP) overview, along with a deep dive into flagship IP and key partnerships across the analytics and AI services value chain Investments in analytics and AI services across talent, infrastructure (centers of excellence / labs), acquisitions, research, academic partnerships, and solutions Case studies, with detailed solutions Membership(s) Artificial Intelligence (AI) Data & Analytics Sourcing and Vendor Management