The public cloud market is significantly growing due to enterprises’ pursuit of digital transformation, innovation, and operational resilience. Microsoft Azure has effectively addressed this demand through strategic investments in generative AI (in collaboration with OpenAI), industry-tailored cloud offerings, Microsoft Fabric for data, and robust security capabilities. As Azure’s portfolio expands, enterprises are turning to specialized Azure service providers to lead cloud migration efforts and drive ongoing optimization. These partners bring key expertise in cost efficiency, resource management, and cloud-native development, enabling organizations to maximize their Azure investments’ value. In response to evolving enterprise needs, Azure service providers are enhancing their go-to-market approaches, earning certifications and specializations, and building proprietary Azure-aligned IP. Their close collaboration with Microsoft allows them to deliver industry-specific, high-impact solutions that strengthen operations and unlock new growth opportunities. In this report, we assess 29 cloud service providers featured in the Microsoft Azure Services PEAK Matrix® Assessment 2024 and categorize them as Leaders, Major Contenders, and Aspirants based on their capabilities and offerings. Each profile offers a comprehensive picture of the provider’s operational overview, delivery presence, solutions on offer, investments, and market success.

Pulses deliver forward-looking insights into the evolution and impact of science, technology, and trends on global transformation. By engaging with our Pulses, you will gain a deeper understanding of each topic's significance, the key innovators driving change, and the future direction we anticipate. These insights are designed to stimulate discussions within your teams, challenging you to consider your preparedness for impacts on new product development, innovation, vision, strategy, R&D, and beyond.

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.  

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

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

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

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

Enterprises are increasingly recognizing gaps in their data ecosystems as they strive to fully harness gen AI’s potential. Businesses are prioritizing AI-ready data ecosystems, emphasizing 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 now viewed as critical investments to gain a competitive edge in the market. In this report, we analyze 27 Data and Analytics (D&A) providers featured on Everest Group’s D&A Services PEAK Matrix® 2024, 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&A providers, client reference checks, and an ongoing analysis of the D&A services market   Contents In this report, we examine: D&A provider landscape D&A Services PEAK Matrix® characteristics Enterprise sourcing considerations Membership(s) Data & Analytics 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