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Gartner® Critical Capabilities: Data and Analytics Service Providers 2022

Deloitte received the highest score in the Strategy and Consulting and Data Science and AI/ML Use Cases in Data and Analytics Service Providers, Critical Capabilities 2022 by Gartner.

We understand the strategic importance of AI to business and are ready to support you in designing, optimising and delivering first-rate data-driven transformations. Join us in unlocking your potential with AI.

Being a leader is one thing, but staying the leader is about constantly innovating and pushing boundaries; and inspiring our clients to do so as well. We are therefore so proud to be recognised for the 8th year in the Gartner Magic Quadrant for Data and Analytics Service providers. This is such amazing recognition for the collective efforts of both our people and clients. Thank you to all for their confidence in how we go about AI at Deloitte. AI is awesome - Dr. Kellie Nuttall, Lead AI Partner.


This Gartner Magic Quadrant provides a graphical competitive positioning of four types of technology providers, in markets where growth is high and provider differentiation is distinct. This research helps you to get quickly educated about a market’s competing technology providers and their ability to deliver on what end users require today and in the future. We believe Deloitte combines industry expertise and deep data and AI capabilities with its ecosystem partners to support complex business and technology transformations for its clients. Deloitte is positioned as a Leader in this Magic Quadrant for the eighth consecutive year since 2014.

The Gartner Critical Capabilities research is a companion to the “Magic Quadrant™ for Data and Analytics Service Providers 2022,” providing a more in-depth view on the vendors, beyond core strengths, cautions and relative position that sourcing executives need to consider when evaluating vendors for Data and Analytics and AI projects. Deloitte received highest scores in the Strategy and Consulting and Data Science and AI/ML Use Cases.

What you’ll gain from the report:

  • Understanding of the vendors and their scores against nine critical capabilities that Gartner deems to be the leading factors for evaluating vendors, including: Business Transformation, Technology Integration, D&A Governance, Data Management, Analytics and BI, and more
  • The strengths and cautions of AI and analytics services providers
  • Insights from Gartner to accurately assess the providers in the current market and their potential to shape the market in the future
  • This report also has an accompanying report titled Gartner® Critical Capabilities: Data and Analytics Service Providers (February 2022)

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request. Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

Gartner, Critical Capabilities for Data and Analytics Service Providers, Gareth Herschel, Twiggy Lo, Shubhangi Vashisth, Jorgen Heizenberg, Ankush Jain, 8th February 2022.

Gartner, Magic Quadrant for Data and Analytics Service Providers, By Jorgen Heizenberg, Gareth Herschel, Twiggy Lo, Shubhangi Vashisth, Ankush Jain, Published 7 February 2022.

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