Data and AI (D&AI) Services for Mid-Market Enterprises – Provider Compendium 2025
Provider Compendium

14 Apr 2025
by Vishal Gupta, Abhigyan Malik, Shreeya Deshpande, Yukta Sharma, Rashi Garg

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

Membership(s)

Data & Analytics

Artificial Intelligence (AI)

Sourcing and Vendor Management

 

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