Gartner Magic Quadrant for Cloud-Native Application Platforms - 2025

Gartner defines cloud-native application platforms as those that provide managed application runtime environments for applications and integrated capabilities to manage the life cycle of an application or application component in the cloud environment. 

Cloud-native application platforms are designed to facilitate the deployment, runtime execution and management of modern cloud-native or cloud-optimized applications without the need to manage any underlying infrastructure.

LEADERS

  1. Amazon Web Services
  2. Microsoft
  3. Google
  4. Red Hat 
  5. Salesforce (Heroku)
  6. Alibaba Cloud

CHALLENGERS

  1. Cloudflare
  2. Huawei

VISIONARIES

  1. Netlify
  2. Platform.sh
  3. Render

NICHE PLAYERS

  1. Vercel

Interesting insights I gathered from the Gartner Magic Quadrant for Strategic Cloud Platform Services report:

Alibaba Cloud launched one-click AI application templates with ModelScope and Hugging Face integration, and introduced an AI gateway for unified, multivendor LLM orchestration and API key management.

AWS recently introduced Lambda SnapStart support for Python and .NET, which significantly reduces cold start times for its serverless platforms without additional resource provisioning. 

Cloudflare enables users to build serverless applications, which are supported by AI inference services, and deploy them to more than 330 globally distributed points of presence in Cloudflare’s serverless infrastructure.

Cloudflare has rapidly expanded its platform with Workers AI, enabling GPU-powered machine learning and LLMs at the edge. 

Google continues to deliver platform innovations such as Cloud Run GPU for scalable AI/ML inference; Eventarc for event-driven architectures, with over 150 native event sources; and Log Analytics for powerful, SQL-based analysis of telemetry data at scale. 

Huawei continues to reinvest at least 23% of its revenue into research and development. 

Microsoft continues to deliver innovative features, especially in Azure Container Apps. Its dynamic sessions provide secure access to sandboxed environments for running code separately from other applications, and its serverless GPUs support on-demand AI and ML workloads without infrastructure management. 

Netlify is moving beyond traditional infrastructure-based pricing to value-based packaged models that can better suit rapid prototyping.

Platform.sh supports multicloud deployments across AWS, Azure, Google Cloud, IBM and OVHcloud.

Red Hat’s flexible multicloud strategy shows a recognition that the cloud-native market is rapidly evolving to support AI-powered applications.

Render’s product roadmap shows a clear understanding of the market’s direction, including features like AI-augmented debugging, durable workflow engines for AI agents and GPU compute for advanced applications.

Salesforce Heroku continues to focus on cloud-native and polyglot app development while deepening integration with the Salesforce ecosystem to enhance SaaS capabilities.

Vercel supports more than 40 web frameworks and uses framework-defined infrastructure for complex front-end deployments. Its embedded AI products, like v0 and the AI SDK, enable customers to develop and deploy AI applications faster.

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