Data and Analytics (D&A) Services PEAK Matrix® Assessment 2025

Enterprises are redefining their Data and Analytics (D&A) strategies to build a strong data foundation for AI that is tailored to their unique business context. This shift reflects a move from broad transformation programs to focused initiatives that enable measurable business outcomes and prepare organizations for AI-driven growth. As enterprises seek to modernize their data estates, there is a growing emphasis on building scalable data platforms and developing reusable data products that promote accessibility, agility, and faster value realization. The demand for AI-infused data workloads continues to rise as organizations look to improve efficiency, automate data management, and enable more intelligent decision-making.

Data modernization and governance have become central to this evolution, helping enterprises establish the consistency, trust, and compliance needed to operationalize AI at scale. Data quality, security, and metadata management are becoming essential components of resilient data ecosystems. These capabilities are enabling enterprises to transform legacy environments into modern, interoperable, and AI-ready data architectures that support innovation and real-time insights.

Providers are evolving rapidly to address these priorities. They are investing in proprietary IP, domain-contextualized solutions, and AI-infused offerings designed to accelerate data transformation initiatives. Providers are also adopting innovative commercial models that link success to business outcomes and strengthening partnerships with technology providers to deliver integrated data platform services. Simultaneously, they are preparing their talent pools with advanced data skills to help clients maximize their data assets’ full potential.

In this report, Everest Group comprehensively evaluates 24 leading D&A service providers, benchmarking them on market impact, vision, and capabilities. The report features detailed provider profiles highlighting service portfolios, proprietary assets, innovation investments, and talent strengths. It also offers key insights into buyer priorities, sourcing trends, and actionable recommendations to help enterprises accelerate their data transformation efforts and build a trusted, scalable foundation for AI in a rapidly evolving data ecosystem.