Customers & Partners
FAQ

Resources / Analyst Report

Gartner® 2025 Hype Cycle™ for Midsize Enterprises

Avesha named a Sample Vendor for Autonomous Workload Optimization & Augmented FinOps

I understand that by submitting this form, I agree to receive communications from Avesha.

use case

Autonomous Workload Optimization and Augmented FinOps are now climbing the Peak of Inflated Expectations on the 2025 Hype Cycle.

OUR TAKEAWAYS FROM THE GARTNER REPORT

Autonomous Workload Optimization

"Autonomous workload optimization tools maximize performance while minimizing resource consumption through three key approaches: optimizing the utilization of compute, network and storage resources; fine-tuning configuration of underlying runtime platforms; and dynamically adjusting workloads based on sustainability, reliability and cost considerations."
— Gartner, 2025

Right‑sizes compute, network & storage in real time

Balances performance objectives with budget and energy goals

AI‑driven tuning keeps latency low even during traffic spikes

Augmented FinOps

"Augmented FinOps is the use of AI and machine learning (ML) practices — predominantly in the cloud — to enable environments that automatically optimize cost for value based on defined objectives expressed in declarative terms."
— Gartner, 2025

Transforms cost data into actionable unit‑economics

Predicts spend before it happens and prevents budget overruns

Automates remediation to continuously align cost and performance

Impact for Midsize Enterprises

MSE CIOs must continually monitor the evolution of technologies that impact their industry verticals and individual organizations, as well as consolidation activities within the market.

Slash cloud costs up to 40 % while improving SLAs=

Free engineers from constant fire‑fighting

Accelerate innovation by reallocating savings to new initiatives

priority matrix enterprise

Autonomous Workload Optimization lands in the “High Benefit / 0‑2 Years” quadrant, signalling an immediate, transformational ROI. Augmented FinOps sits in “High Benefit / 2‑5 Years,” highlighting its strategic value for proactive cloud‑spend governance as adoption accelerates

In addition to this research report on augmenting platform engineering with AI,

Avesha has also been recognized as a Sample Vendor in the following Gartner® Hype Cycle™ Reports

Hype Cycle for Platform Engineering, 2025

Hype Cycle for I&O Automation, 2025

Hype Cycle for Midsize Enterprises, 2025

Hype Cycle for Container Technology, 2025

Hype Cycle for Site Reliability Engineering, 2025

Hype Cycle for AI in IT Operations, 2025

Mentioned in "Reference Architecture Brief: AI Infrastructure With Kubernetes"

*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 from Avesha.

Gartner, Hype Cycle for Midsize Enterprises, 2025, By Mike Cisek, Hemantika Malik, Albert Gauthier, 30 June 2025

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, HYPE CYCLE is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.

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. (edited)