Spotlight

Report:

Magic Quadrant for Cloud ERP Services for Service-Centric Enterprises

Top Products Added to Evaluation in 2023

Vendors or products added in this year’s report may indicate a change in the market, change in evaluation criteria, or change of focus by the vendor.

No vendors were added in this report.


Top Products Removed from Evaluation in 2023

Vendors or products dropped from one year to the next may indicate a change in the market, change in evaluation criteria, or change of focus by the vendor.

No vendors were dropped in this report.

Notable Context

This is the first Magic Quadrant specifically focused on Cloud ERP Services for Service-Centric Enterprises. It represents a shift from technology-focused Magic Quadrants (Oracle, SAP, Workday, etc.) to transformation-focused research that evaluates service providers supporting multiple technology options. The research emphasizes that moving to cloud ERP is a business transformation, not a technical upgrade, and implementation is an ongoing evolution rather than a one-time project. By 2027, more than 50% of organizations in service-centric industries will look for an ERP suite approach to meet their need for system-of-record capabilities.


FAQs

Q: Why do vendors appear one year and not the next?

A: This is the inaugural report for this specific market definition, so there are no vendors appearing or disappearing from a previous year. The inclusion criteria required vendors to have minimum $60 million annual revenue in cloud ERP services for service-centric enterprises, ability to provide services for at least two relevant ERP technology products (Oracle, SAP, Microsoft, Workday, NetSuite), at least 50 certified FTEs per technology, and presence in minimum two of five geographies. Vendors appear in different quadrants based on their Ability to Execute and Completeness of Vision across the full service lifecycle in multiple industries. Honorable mentions include vendors like Capgemini, NTT DATA, Fujitsu, Tech Mahindra, and Perficient who did not meet all inclusion criteria but could be appropriate for specific client requirements.


Q: How do I interpret a Gartner Magic Quadrant?

A: https://www.gartner.com/en/research/methodologies/magic-quadrants-research

Reference

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