This talk, titled “Edge AI Market Tracker and Forecast 2020–2030 PREVIEW features Knud Lasse Lueth, CEO of IoT Analytics, a leading provider of market insights for edge computing.
The session serves as a high-level preview of the company’s comprehensive research into the rapidly evolving edge AI landscape. Below is a description based on the event details:
Overview
As the demand for real-time decision-making and data privacy increases, processing power is shifting from the cloud to the “edge.” This talk explores the massive growth trajectory of the Edge AI market, which is projected to see a significant compound annual growth rate (CAGR) through 2030.
Key Discussion Points
Market Growth & Forecasts: A first look at the updated 2020–2030 market figures, including the hardware, software, and services driving the industry.
The Rise of IoT Intelligence: How the global installed base of edge devices—forecasted to exceed 40 billion by 2030—is becoming the “brains” of connected environments.
Key Technology Trends:
The adoption of tinyML on ultra-low-power microcontrollers.
The integration of AI capabilities directly into MCUs (Microcontroller Units).
The impact of 5G and RISC-V architecture on edge deployments.
Industry Applications: Real-world use cases across manufacturing (industrial AI), automotive (autonomous systems), and smart surveillance.
Strategic Insights: Where is the geographic center of the market shifting and what this means for global OEMs and vendors.