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 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

AI and Machine Learning (ML) technologies’ rising adoption has revolutionized how enterprises use data, elevating the technologies’ significance. Today, data is integrated into every aspect of operations to facilitate decision-making and drive innovation, increasing data access and consumption. However, the ever-evolving landscape of high-volume data and intricate interdependencies between platforms have highlighted challenges for data teams. These challenges hinder teams’ visibility into data movement, quality, reliability, and operational costs. To address these challenges, enterprises are adopting data observability. It offers end-to-end data stack visibility, enabling organizations to proactively identify and diagnose data-related issues and optimize the underlying data’s overall health. This compendium provides accurate, comprehensive, and fact-based snapshots of 20 data observability technology providers. Each profile offers a detailed overview of the provider’s operations, product capabilities, investments, integrations, and market success. Scope All industries and geographies This assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with leading data observability technology providers, client reference checks, and an ongoing analysis of the data observability market Contents In this report, we examine: The data observability technology providers’ landscape Enterprises’ sourcing considerations Providers’ leadership, case studies, product capabilities, and presence across geographies and industries Key investments and integrations Providers’ key strengths and limitations Membership(s) Data & Analytics Sourcing and Vendor Management

The rising adoption of AI and ML has revolutionized how enterprises use data, elevating its importance to unprecedented levels. Today, data is integrated into every facet of operations to facilitate decision-making and drive innovation, resulting in a substantial increase in data access and consumption. However, the ever-evolving landscape of high-volume data, coupled with intricate interdependencies between platforms, has amplified challenges for data teams. These challenges hinder their visibility into data movement, quality, reliability, and the cost of data operations. To address these challenges, enterprises are embracing modern data management practices such as data observability. Data observability offers end-to-end visibility of data estates, enabling organizations to proactively identify and diagnose data-related issues while optimizing the underlying data’s overall health. In this report, we assess 20 providers featured on the Data Observability Technology Provider PEAK Matrix® 2024. Each profile offers a comprehensive picture of the provider’s key strengths and limitations. Scope: All industries and geographies The assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with leading data observability technology providers, client reference checks, and an ongoing analysis of the data observability market Contents: In this report, we examine: Data observability technology provider landscape Data Observability Technology Provider PEAK Matrix® characteristics Enterprise sourcing considerations Membership(s) Data & Analytics Outsourcing Excellence

At present, mid-market enterprises stand at a pivotal juncture, aiming to fortify their Data and Analytics (D&A) foundation while exploring advanced technologies such as generative AI. In a constantly evolving market, these enterprises prioritize excellence and innovation in their provider selection, seeking partners that emphasize robust relationships, cost-effectiveness, agility, and a steadfast commitment to delivering tangible business impact and Return on Investment (RoI) throughout their transformation journey. Mid-market enterprises value providers with inventive solutions, accelerators, and robust advisory capabilities to navigate the dynamic D&A landscape efficiently. This compendium provides detailed profiles of 29 IT service providers featured on Everest Group’s D&A Services for Mid-market Enterprises PEAK Matrix® 2023. Each profile offers a comprehensive snapshot of the provider’s service focus, key Intellectual Property (IP) / solutions, domain investments, and case studies. Scope All industries and geographies The assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with D&A service providers, client reference checks, and an ongoing analysis of the D&A services market Contents In this report, we examine: D&A services for mid-market enterprises PEAK Matrix® characteristics Providers’ leadership, presence across geographies and industries, global FTE and revenue estimates, buyer size, and overall practice structures D&A delivery locations and intellectual property overview, along with an analysis of flagship IP and key partnerships across the D&A value chain Provider investments in D&A across talent, infrastructure (centers of excellence / labs), acquisitions, research, academic partnerships, and solutions Recent case studies and projects won, with a detailed description of solutions provided Providers’ key strengths and limitations Enterprise sourcing considerations Membership(s) Data & Analytics Sourcing and Vendor Management

Currently, mid-market enterprises stand at a crucial juncture. They are striving to strengthen their Data and Analytics (D&A) foundation while simultaneously exploring cutting-edge technologies such as generative AI. In an ever-evolving market landscape, these enterprises are keen on achieving excellence and fostering innovation when selecting a provider. In their pursuit, mid-market enterprises are seeking partners that prioritize building strong relationships, cost-efficiency, agility, nimbleness, and a steadfast commitment to delivering tangible business impact and Return on Investment (RoI) at every stage of their transformation journey. Providers equipped with inventive solutions, accelerators, and strong advisory capabilities can efficiently guide these enterprises through the dynamic D&A landscape. In this report, we assess 29 providers featured on the D&A services for mid-market enterprises PEAK Matrix® 2023. Each profile offers a comprehensive assessment of the provider’s strengths and limitations, empowering mid-market enterprises to make informed decisions as they navigate the ever-evolving D&A landscape. Scope All industries and geographies The assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with D&A service providers, client reference checks, and an ongoing analysis of the D&A services market Contents In this report, we examine: D&A service providers landscape for mid-market enterprises D&A services for mid-market enterprises PEAK Matrix® characteristics Enterprise sourcing considerations Membership(s) Data & Analytics Sourcing and Vendor Management

The Banking and Financial Services (BFS) industry has emerged as a leading adopter of Data and Analytics (D&A) services. BFS firms are gradually transitioning from traditional D&A services, such as data warehousing and data migration, and are integrating complex and innovative analytics solutions to differentiate themselves in a relatively mature market. With significant data assets, BFS organizations can leverage advanced D&A tools/services to enhance operational efficiency, manage fraud, improve stakeholder experience, and drive product/channel innovation. In this report, we assess the current state of analytics adoption in the BFS industry, highlighting emerging themes such as the need for personalized experiences, data monetization, data on the cloud, responsible artificial intelligence, data for sustainability, and data-driven risk and compliance management that are driving the adoption of data-driven analytics technology and services in the BFS industry. The report also examines high potential and high impact D&A use cases that support BFS enterprises across the value chains of different lines of business such as retail and commercial banking, payments, asset and wealth management, and investment banking. Moreover, the report discusses how enterprises are utilizing the power of data and analytics to prepare for upcoming economic uncertainties. Scope Industry: BFS Services: D&A Geography: global The report is based on publicly available information (190 use cases from 120+ case studies), Everest Group’s survey of 100+ midsized and large enterprises, and Everest Group’s proprietary transaction intelligence database Contents In this report, we: Provide an overview of the BFS industry, including the current state of analytics and deal characteristics Examine emerging themes in BFS that are driving D&A adoption such as the growing importance of personalization, data monetization, data on cloud, responsible artificial intelligence, initiatives taken by BFS firms for data-driven sustainability, and emerging data privacy laws Analyze analytics adoption and use cases by value-chain segment Discuss the impact of economic uncertainties on the BFS industry Membership(s) Artificial Intelligence Banking Information Technology Data & Analytics Insurance Information Technology Sourcing and Vendor Management