Gartner® Magic Quadrant™ for Data and Analytics Service Providers named Accenture a Leader in 2022

Accenture | February 14, 2022

Data Analytics
Accenture was named as a Leader in the Gartner, “Magic Quadrant for Data and Analytics Service Providers.”

The research emphasises the importance of data and analytics in businesses, stating that “Organizations are deploying D&A to support digital transformation and acceleration, and the use of D&A is increasingly pervasive across enterprises, fueling market growth. In the 2021 Gartner’s View from the Board of Directors survey, 69% of boards of directors said they had accelerated digital business initiatives in the wake of COVID-19. In the same survey, these boards of directors placed analytics and AI as the No. 1 and No. 2 top game-changing technologies to emerge stronger from the COVID-19 crisis.” Accenture was ranked highest and farthest in this Magic Quadrant among the 18 firms evaluated by Gartner for its ability to execute and completeness of vision in this industry.

“Accenture’s long-standing commitment to help clients realize business value, coupled with our Data-led Transformation offering and investments in building assets like Solutions.AI, our strategic acquisitions, and our focus on talent and investments in advanced artificial intelligence have made us a leader in the data & analytics and AI space,” Sanjeev Vohra, senior managing director and global lead for Accenture Applied Intelligence. “Our continued momentum of people, technology and strategy will accelerate our ability to deliver leading data and AI solutions to our customers.”

The Accenture Data Platform and Solutions are powered by a vast, and expanding, community of data partners. Accenture Applied Intelligence's AI portfolio addresses industry and functional areas such as personnel and skilling, customer interaction, and pricing, and is helping clients around the world succeed in their Data-led Transformations and expand their businesses.


Data lakehouses are important if you want to simplify analytics and machine learning. Watch the video to learn how.


Data lakehouses are important if you want to simplify analytics and machine learning. Watch the video to learn how.

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