Enterprise adoption of outcomes-based advanced analytics and Artificial Intelligence (AI) is rapidly increasing. However, organizations are unable to achieve the complete benefit of these initiatives due to data-related challenges, a shortage of analytics and AI talent in the market, and the lack of organizational readiness to adopt new technologies. To address these challenges, enterprises are looking for providers with strong domain knowledge and expertise in advanced technologies.

Analytics and AI services specialists are well-positioned to help enterprises adopt and scale initiatives due to their proactive investments in data engineering capabilities, in-depth experience in catering to domain- or industry-specific analytics requirements, and investments in acquiring and upskilling advanced analytics and AI talent.

In this research, we present an assessment and detailed profiles of 15 analytics and AI services specialists featured on Everest Group’s Analytics and AI Services Specialists PEAK Matrix® 2021. The assessment is based on Everest Group’s annual RFI process for the calendar year 2020 and H1 2021, interactions with leading analytics and AI services specialists, client reference checks, and an ongoing analysis of the analytics and AI services market.

Scope

• Services across the analytics and AI services value chain – strategy & consulting, Business Intelligence (BI) and reporting, advanced analytics & insights, data engineering, and AI
• Coverage across 15 analytics and AI services specialists
• All industries and geographies

Contents

In this research, we analyze the global analytics and AI services specialists’ landscape and focus on:

• Everest Group’s analysis of the specialists’ strengths and limitations
• Specialists’ leadership, presence across geographies and industries, revenue estimates, and buyer size focus
• Analytics and AI services delivery locations
• Analytics and AI services Intellectual Property (IP) overview, along with a deep dive into flagship IP and key partnerships across the analytics and AI services value chain
• Investments in analytics and AI services across talent, infrastructure (centers of excellence / labs), acquisitions, research, academic partnerships, and solutions
• Case studies, with a detailed description of the solution provided

Membership(s)

Data & Analytics

Sourcing and Vendor Management