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

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

The Data and Analytics (D&A) and AI market is rapidly expanding, driven by growing data volumes and AI-ML advances. Enterprise demand for D&A and AI primarily stems from their need to accelerate digital transformation, optimize operations, and drive scalability. IBM plays a key role in the D&A and AI landscape, enabling enterprises to efficiently build, deploy, and govern AI models while driving AI-powered analytics and ensuring stringent data privacy and compliance. Innovations and updates announced at the TechXchange 2024 event focus on enhancing generative AI efficiency, bolstering AI governance, and accelerating business automation with agentic workflows. In this report, we examine IBM’s latest updates from TechXchange 2024, outlining growth opportunities, challenges enterprises face, and IBM’s current positioning and new offerings in this space. The report also highlights IBM’s key differentiators and potential improvement areas. Scope All industries and geographies The assessment is based on Everest Group’s participation in, and monitoring of announcements made at the IBM TechXchange 2024 event Contents In this report, we examine: Key themes driving and inhibiting enterprise demand for D&A and AI IBM’s current positioning in the D&A and AI market Announcements from IBM TechXchange 2024 Analyze the new release’s strengths and areas of improvement Membership(s) Data & Analytics Sourcing and Vendor Management