Guide for investors and decision makers
Understand IoT Edge
The essentials on a fast-growing market
IoT Edge combines sensors, embedded AI and edge computing to create autonomous, intelligent devices. This page gives you the keys to understanding this market and its opportunities.
The IoT Edge market in numbers
A fast-growing market, driven by AI and Industry 4.0
Why now?
AI + Robotics
Convergence between artificial intelligence and autonomous physical systems (robots, cobots, vehicles).
Mature embedded AI
TensorFlow Lite, PyTorch Mobile make AI accessible on low-cost devices.
Affordable hardware
Raspberry Pi, industrial edge devices are becoming accessible for every budget.
Data sovereignty
GDPR and sector requirements mandate local processing and data control.
Real time required
Industry 4.0, autonomous vehicles, robotics demand minimal latency.
5G rollout
5G accelerates edge use cases with its low latency and high bandwidth.
What is IoT Edge?
Smart devices that process data locally
Classic IoT vs IoT Edge
Classic IoT sends all raw data to the cloud for processing. IoT Edge processes data directly on the device, as close to the source as possible. Only relevant information is sent to the cloud.
Offline mode
An IoT Edge device can work without an internet connection: it stores data locally and syncs automatically once the network returns. This is critical for industry, mobility, and anywhere the connection is unstable.
Example applications
Kiosks & Terminals
Retail payment kiosks, information terminals, vending machines, autonomous checkouts.
Industry
AI-driven predictive maintenance, vibration monitoring, machine vision for quality control.
Mobility
Connected delivery fleets, field maintenance vehicles, optimized round management.
Smart Building
Intelligent energy management, dynamic displays, occupancy analytics, access control.
IoT Edge Glossary
The essential terms explained simply
Device / Connected object
A physical device equipped with sensors and able to communicate over the internet or a local network. Examples: payment kiosk, industrial sensor, smart thermostat.
Edge Computing
Processing data directly on or near the device, instead of sending everything to the cloud. Enables instant responses and reduces network dependency.
Offline Mode
A device's ability to work normally without an internet connection. Data is stored locally then synced automatically once the network returns.
OTA (Over-The-Air)
Remote software update, with no physical intervention on the device. Lets you fix bugs or add features across thousands of devices at once.
Fleet
A set of IoT devices deployed and managed centrally. A fleet can range from a few devices to several thousand spread across locations.
Cloud Backend
Remote servers that centralize data, authentication, business APIs and shared services. Complements the edge for heavy processing and long-term storage.
Sensor
A component that measures a physical quantity: temperature, motion, light, vibration, pressure, etc. Turns the physical world into digital data.
Actuator
A component that acts on the physical environment: motor, electronic lock, relay, valve, display. Lets the system produce real-world effects.
API
An interface that lets software communicate with each other. APIs let you integrate IoT data with other systems (CRM, ERP, business applications).
Embedded AI
Artificial intelligence running locally on the device: image recognition, anomaly detection, predictions. Works without a cloud connection.
Why IoT Edge projects fail
The obstacles companies run into
Technical complexity
Companies want to innovate on their business use case, but spend most of their time on IoT infrastructure.
The scaling wall
The POC works in the lab, but field deployment requires a complete architecture redesign.
Operational complexity
Managing an IoT Edge fleet manually: time-consuming deployments, reactive monitoring, risky updates.
Rare skills
IoT Edge requires combined expertise: embedded + cloud + security + DevOps. These profiles are hard to hire.
The Arkipelis opportunity
Two complementary products to industrialize IoT Edge
Fleet - The platform
Turnkey IoT Edge infrastructure
Fleet handles the technical complexity: accelerated development, frictionless scaling, enterprise-grade security, native offline resilience.
Serverless architecture (Azure/AWS) Same code from POC to production Native offline mode
Dock - The expertise
Support and skills transfer
Architecture consulting, technical team management, custom R&D, training. We accelerate projects and make teams autonomous.
IoT Edge architecture consulting Team management Custom R&D and modulesBusiness model
Transparency and scalability
Fleet - Recurring revenue
Fleet license per device The client pays their cloud consumption directly No hidden margin on infrastructureDock - Billed missions
One-time or recurring consulting Project missions (time & materials or fixed price) Skills transfer includedPositioning: enabler, not integrator
Arkipelis provides the infrastructure and expertise for companies to build and deploy their own IoT Edge solutions. We don't sell turnkey solutions: we give you the means to create.
Data sovereignty
Fleet deploys on the client's cloud tenant (Azure or AWS). Data stays under the client's control, in the region of their choice. GDPR compliance and regulated sectors.
Let's discuss your project
Investor, decision maker, or project owner: let's talk about IoT Edge