The global spend on AI is soaring as enterprises across diverse sectors increasingly tap into its transformative potential. With the emergence of generative AI / Large Language Models (LLMs), enterprises worldwide are swiftly adopting AI to unlock new revenue streams, reduce operating costs, enhance user experiences, and gain significant industry differentiation. However, at the core of AI development lies the need for large training datasets, a challenge met by Data Annotation and Labeling (DAL) services.

However, managing DAL capabilities in-house appears to be costly, time-intensive, and resource-draining for enterprises. As a result, businesses are outsourcing DAL solutions to external providers. In their quest, enterprises seek partners capable of accelerating their time-to-market with annotation projects delivered at scale and speed without compromising data quality. They prioritize providers that emphasize relationship-building, cost-effectiveness, agility, and a steadfast commitment to deliver tangible business impact and RoI throughout their transformation journey. Equipped with trained workers and robust annotation platforms, these providers efficiently guide enterprises through the DAL landscape.

In this report, we assess 19 providers featured in the Data Annotation and Labeling (DAL) solutions for AI/ML PEAK Matrix^® Assessment 2024. Each profile offers a comprehensive overview of the provider’s strengths and limitations, enabling enterprises to make informed decisions as they navigate the evolving DAL landscape.

Scope

• All industries and geographies
• The assessment is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with DAL solutions providers, client reference checks, and an ongoing analysis of the DAL services market

Contents

In this report, we examine:

• DAL solutions providers’ landscape
• DAL PEAK Matrix^® characteristics
• Enterprise sourcing considerations

Membership(s)

Artificial Intelligence (AI)

Outsourcing Excellence