Edge computing use case directory

Discover the best edge monetisation opportunities, understand the key partners, and inform your go-to-market strategy through our edge computing use case directory.

This research supports edge monetisation in three key ways:

1. Accelerate your edge computing strategy through education of the key use cases that are driving adoption in different industries.
2. Drive alignment within your organisation on the proposition and requirements of use cases.
3. Highlight the monetisation opportunities and roles that need to be filled in order to deliver an end-to-end edge computing solution.

The edge computing use case directory includes 30 use cases and provides detailed insight and analysis, including: 

• Use case description 
• Key drivers for using edge computing 
• Use case maturity 
• Infrastructure requirements (including compute and latency demands) 
• Real-world examples 
• Potential ecosystem partners 
• Customer and end-user proposition

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Example use case:  

Source: STL Partners

Examined use cases:

• Advanced predictive maintenance
• Agentic AI
• AR in travel/tourism
• AR/VR for training
• Automated guided vehicles (AGVs)
• Cloud gaming
• Computer vision for asset monitoring
• Computer vision for flow analysis
• Computer vision for safety and security
• Connected ambulance
• Connected car driver assistance
• Content delivery
• Contextual DOOH advertising
• Device rationalisation
• Digital twin
• Drone inspection
• Federated learning
• GenAI inference (SLM or LLM)
• In-hospital patient monitoring
• Live video/broadcast
• Model cascading
• Model fine tuning
• MR for worker safety and productivity
• Real-time collaboration in design and engineering
• Robotic control of industrial machinery
• Smart city traffic management
• Smart grid management
• Temporary compute for events
• Web content optimisation

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