How Edge Intelligence reduces CDN dependency and cuts streaming costs

Streaming statistics show that global viewership in Q1 2024 was 128% higher than in Q1 2019, underscoring just how dramatically audience demand has grown in just five years. As billions of viewers continue to tune into live and on-demand content every day, delivering high-quality, uninterrupted video at scale remains a pressing challenge. Traditional content delivery networks (CDNs), once the backbone of streaming infrastructure, are increasingly strained by the surge in traffic and soaring bandwidth costs. For broadcasters and streaming platforms, this translates into growing operational expenses and uncertainty during high-demand events, during which even brief outages can cause great frustration and harm viewer satisfaction. The goal is simple: reduce CDN dependency and cut streaming costs without sacrificing quality.

In this article, we explore the growing challenges of global content delivery, the limitations of conventional CDNs, and how Edge Intelligence is redefining streaming efficiency by enabling platforms to reduce CDN costs and optimize video delivery at scale.

The limits of traditional CDNs

For over a decade, Content Delivery Networks (CDNs) have been the foundation of video streaming, using geographically distributed servers to cache and deliver content closer to viewers. Yet as audience sizes soar, this model is increasingly expensive and difficult to scale. Each live stream or on-demand session consumes valuable bandwidth, and when millions watch simultaneously, delivery costs can spiral quickly. In regions with limited edge server infrastructure, such as Latin America or the Middle East, this dependency results in higher latency, lower quality of experience (QoE), and greater operational strain.

Traditional CDNs were not designed to adapt to real-time network conditions or unpredictable audience surges. Even with multi-CDN strategies, broadcasters face congestion, buffering, and inconsistent playback during peak events, while costs continue to climb. The challenge for content providers today is finding a smarter, more flexible model that can reduce CDN costs and maintain flawless video quality without over-reliance on physical infrastructure.

How Edge Intelligence optimizes video delivery

Edge Intelligence is the backbone of our Data Logistics Platform. It works hand in hand with Edge Analytics, which provides unprecedented visibility over the open internet to ensure Edge Intelligence has the data it needs to create flawless live streams. Edge Intelligence transforms the way video content is distributed by intelligently offloading traffic from traditional CDNs. Instead of relying solely on fixed server infrastructure, it uses a centrally orchestrated, AI-powered peer-to-peer network that allows viewers’ devices to share content directly with one another. 

This creates a dynamic, self-scaling ecosystem that grows in real time with audience demand, ensuring smooth delivery no matter how many people are watching. By continuously analyzing network conditions, Edge Intelligence identifies the fastest, least congested delivery routes and automatically reroutes traffic when congestion occurs. This approach dramatically reduces latency, rebuffering, and other disruptions that can undermine QoE. For content providers, it means a smarter way to optimize video delivery and achieve high performance and stability with far lower bandwidth requirements.

A smarter, more cost-efficient CDN alternative

Edge Intelligence is a new, AI-driven layer that complements existing CDN infrastructures to deliver better performance at a fraction of the cost. As a CDN alternative, it offloads up to 80% of streaming traffic from traditional CDNs, dramatically lowering bandwidth consumption and operational expenses. For many broadcasters, this has translated into delivery cost reductions of up to 65%, without compromising quality or coverage. As well as improving cost efficiency, Edge Intelligence offers unparalleled scalability and reliability. 

Its centrally orchestrated broadcast tree can serve millions of viewers simultaneously, automatically expanding as demand increases, as well as maintaining the highest possible bitrate for each viewer’s device. Tested and proven in large-scale events such as the 2024 UEFA Champions League Final, the 2024 Copa América, and Amman TV’s nationwide broadcasts, Edge Intelligence demonstrates that it’s possible to reduce CDN costs and optimize video delivery anywhere in the world. It provides streaming platforms with the flexibility to grow and the visibility to manage performance in order to deliver world-class viewing experiences.

For more insights into live streaming and live video delivery by System73, or to find out more about our Data Logistics Platform, visit www.system73.com.

You Might Be Interested

How Edge Intelligence reduces CDN dependency and cuts streaming costs

READ MORE

How to improve quality of experience (QoE) in live streaming

READ MORE

How to scale live video delivery for peak traffic events

READ MORE