With increasing data volumes, enterprises are readily adopting Artificial Intelligence (AI) and Machine Learning (ML) capabilities to gain business insights and make decisions. However, they face several challenges in deploying ML models to production. As a result, enterprises are leveraging Machine Learning Operations (MLOps) to improve the quality of ML models’ results, achieve business-oriented outcomes, and enhance stakeholder experience.

Today, the MLOps market is rapidly evolving in terms of product features, architecture, training and support, deployment options, partner ecosystem, and commercial models. Enterprises looking to adopt MLOps solutions and improve their AI/ML transformation journeys must select the best-fit technology provider for their needs.

This compendium provides detailed profiles of 18 technology providers featured on Everest Group’s MLOps Products PEAK Matrix® 2022. Each profile provides a comprehensive picture of the provider’s size and scope of business, product capabilities, partnerships, 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 2021, interactions with leading MLOps technology providers, client reference checks, and an ongoing analysis of the MLOps products landscape

Contents:

In this report, we analyze the MLOps technology provider landscape and include:

• Technology providers’ leadership, presence across geographies and industries, and global revenue estimates
• MLOps’ product offerings, along with key partnerships across the ML life cycle
• Technology provider investments across talent, infrastructure (centers of excellence / labs), acquisitions, research, academic partnerships, and solutions
• Recent case studies, with detailed descriptions of the solutions provided
• Everest Group’s remarks on the strengths and limitations of each technology provider

Membership(s)

Artificial Intelligence (AI)

Sourcing and Vendor Management