The global spend on AI is growing as enterprises across various sectors increasingly leverage its transformative potential. With the emergence of generative AI / large language models, enterprises worldwide are adopting AI at an accelerating pace to unlock new revenue streams, streamline operational costs, enhance user experiences, and establish significant differentiation within their respective industries. However, the foundation of AI development hinges on large training datasets, often tailored to the unique requirements of each business. Data Annotation and Labeling (DAL) services play a vital role in curating these high-quality training datasets essential for AI development.

However, maintaining in-house DAL capabilities proves to be costly, time-consuming, and labor-intensive for enterprises. As a result, businesses are turning to external DAL service providers to implement DAL solutions. In their pursuit, enterprises seek partners capable of expediting their time-to-market by executing annotation projects at scale and speed without compromising data quality. They prioritize providers that prioritize building strong relationships, cost-effectiveness, agility, and a steadfast commitment to delivering tangible business impact and RoI at every stage of their transformation journey. Providers with a trained workforce and advanced annotation platform capabilities can efficiently guide these enterprises through the DAL landscape.

This compendium provides detailed snapshots of 20 DAL solutions providers featured on Everest Group’s DAL solutions for AI/ML PEAK Matrix® Assessment 2024. Each profile offers a comprehensive overview of the provider’s operational overview, delivery locations, solutions offered, investments, and market success.

Scope

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

Contents

In this report, we examine:

• DAL service providers landscape
• DAL PEAK Matrix^® characteristics
• Providers’ leadership, presence across geographies and industries, global FTE and revenue estimates, buyer size, and overall practice structures
• DAL delivery locations and intellectual property overview, along with an analysis of flagship IP and key partnerships across the DAL value chain
• Provider investments in DAL 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)

Artificial Intelligence (AI)

Outsourcing Excellence