
Market Leaders Address Latency Challenges with Edge Computing Solutions
DUBLIN--(BUSINESS WIRE)--May 30, 2025--
The 'Next-gen Content Delivery Networks and Edge Services, 2025: Frost Radar Report' report has been added to ResearchAndMarkets.com's offering.
The report for the next-gen content delivery networks (CDN) and edge services industry analyzes providers offering services to deliver web content, video, and applications to end-users with high performance, low latency, and robust security.
The CDN market has evolved to include:
The CDN industry has transformed from solely focusing on content delivery to providing a comprehensive suite of services that enable secure, high-performance, and real-time content delivery, edge computing, and cloud-native services.
Reducing latency and enhancing performance are critical challenges in the next-gen CDN and edge services market. The rapid growth of video streaming services and the increasing demand for high-resolution content (such as 4K and 8K videos), as well as lower latency, are pushing the limits of traditional CDN infrastructure. Additionally, as real-time applications like IoT, smart cities, augmented reality (AR), and virtual reality (VR) become more prevalent, the demand for low-latency, high-performance content delivery networks (CDNs) is increasingly growing.
Market leaders are addressing this challenge by integrating edge computing solutions that process data closer to end-users, significantly reducing latency and improving performance. This transformation is essential for supporting the growing demand for bandwidth-intensive digital experiences.
The CDN and edge services market is witnessing a transformation driven by innovative business models and megatrends. Traditional CDNs operated on a per-byte traffic charging model, but this approach is becoming commoditized. Providers are now expanding their service portfolios to include higher value-add networks and security services, creating subscription-based packages. This diversification is reshaping the market, with top-tier providers offering comprehensive solutions that encompass content delivery, security, and edge computing.
The market is characterized by intense competition and geopolitical challenges. Consolidation among major players and the entry of cloud providers and ISPs are increasing competitive pressure. Additionally, geopolitical factors such as data sovereignty and localization regulations are complicating global content delivery. Successful companies are navigating these challenges by adopting multi-cloud strategies, enhancing their security offerings, and expanding their global reach through partnerships and localized presence.
The 13 companies profiled in this report were selected based on their ability to meet a set of specific criteria, including offering a comprehensive CDN solution with a significant global presence, providing robust edge computing capabilities, integrating advanced security features, supporting cloud-native services, demonstrating innovation and R&D investments, having a visible customer base and significant revenues, and providing a user-friendly platform.
Key Topics Covered:
Strategic Imperative and Growth Environment
Next-Gen Content Delivery Networks and Edge Services
Companies to Action
Best Practices & Growth Opportunities
For more information about this report visit https://www.researchandmarkets.com/r/5w7rh
About ResearchAndMarkets.com
ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.
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INDUSTRY KEYWORD: SOFTWARE TECHNOLOGY NETWORKS INTERNET
SOURCE: Research and Markets
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PUB: 05/30/2025 10:36 AM/DISC: 05/30/2025 10:35 AM
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New York Times
24 minutes ago
- New York Times
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Their winning margin of five goals is the biggest ever recorded in a Champions League final. The Athletic's writers break down the key moments from a memorable game. Can you really have much European Cup heritage when your club is only 55-years-young, has spent only 40 of those years playing at this rarefied level, and just 12 of them at these late, defining stages of the competition? Well yes you can, if you're Paris Saint-Germain: you can have a heritage of failing and falling short, of calamity and collapse, of wasting talent and resources at an unprecedented scale. In recent years, such a commanding first half performance — soaring into a 2-0 lead inside 20 minutes — might still have set us up for another night of schadenfreude across much of the rest of Europe. But as everyone has been at pains to point out on the road to Munich and throughout PSG's run to this final, those Benzema hat-tricks at the Bernabeu, late Rashford penalties and remontadas now feel a thing of the past. 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Much has been made of the average age of this Inter team and how the squad needs to undergo a rejuvenation over the summer. Overseeing that process will be president Beppe Marotta and sporting director Pier Ausilio who will meet Simone Inzaghi this week to discuss his future. In addition to new younger players, Inter might be in need of a new coach if Inzaghi decides he has taken this team as far as he can. Make no mistake this has been a painful week for Inter. Losing the Scudetto on the final day was hard to take. But the pain would have been salved had they won the Champions League, the only trophy this group of players is missing. Getting over the disappointing denouement of this campaign will take a long time. It will live with these players for the rest of their careers. James Horncastle Desire Doue has been enormous fun this season. 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But as in so many other areas, the emphasis on the negative in artificial intelligence risks overshadowing what could go right — both in the future as this technology continues to develop and right now. As a corrective (and maybe just to ingratiate myself to our potential future robot overlords), here's a roundup of one way in which AI is already making a positive difference in three important fields. Whenever anyone asks me about an unquestionably good use of AI, I point to one thing: AlphaFold. After all, how many other AI models have won their creators an actual Nobel Prize? AlphaFold, which was developed by the Google-owned AI company DeepMind, is an AI model that predicts the 3D structures of proteins based solely on their amino acid sequences. That's important because scientists need to predict the shape of protein to better understand how it might function and how it might be used in products like drugs. That's known as the 'protein-folding problem' — and it was a problem because while human researchers could eventually figure out the structure of a protein, it would often take them years of laborious work in the lab to do so. AlphaFold, through machine-learning methods I couldn't explain to you if I tried, can make predictions in as little as five seconds, with accuracy that is almost as good as gold-standard experimental methods. By speeding up a basic part of biomedical research, AlphaFold has already managed to meaningfully accelerate drug development in everything from Huntington's disease to antibiotic resistance. And Google DeepMind's decision last year to open source AlphaFold3, its most advanced model, for non-commercial academic use has greatly expanded the number of researchers who can take advantage of it. You wouldn't know it from watching medical dramas like The Pitt, but doctors spend a lot of time doing paperwork — two hours of it for every one hour they actually spend with a patient, by one count. Finding a way to cut down that time could free up doctors to do actual medicine and help stem the problem of burnout. That's where AI is already making a difference. As the Wall Street Journal reported this week, health care systems across the country are employing 'AI scribes' — systems that automatically capture doctor-patient discussions, update medical records, and generally automate as much as possible around the documentation of a medical interaction. In one pilot study employing AI scribes from Microsoft and a startup called Abridge, doctors cut back daily documentation time from 90 minutes to under 30 minutes. Not only do ambient-listening AI products free doctors from much of the need to make manual notes, but they can eventually connect new data from a doctor-patient interaction with existing medical records and ensure connections and insights on care don't fall between the cracks. 'I see it being able to provide insights about the patient that the human mind just can't do in a reasonable time,' Dr. Lance Owens, regional chief medical information officer at University of Michigan Health, told the Journal. A timely warning about a natural disaster can mean the difference between life and death, especially in already vulnerable poor countries. That is why Google Flood Hub is so important. An open-access, AI-driven river-flood early warning system, Flood Hub provides seven-day flood forecasts for 700 million people in 100 countries. It works by marrying a global hydrology model that can forecast river levels even in basins that lack physical flood gauges with an inundation model that converts those predicted levels into high-resolution flood maps. This allows villagers to see exactly what roads or fields might end up underwater. Flood Hub, to my mind, is one of the clearest examples of how AI can be used for good for those who need it most. Though many rich countries like the US are included in Flood Hub, they mostly already have infrastructure in place to forecast the effects of extreme weather. (Unless, of course, we cut it all from the budget.) But many poor countries lack those capabilities. AI's ability to drastically reduce the labor and cost of such forecasts has made it possible to extend those lifesaving capabilities to those who need it most. One more cool thing: The NGO GiveDirectly — which provides direct cash payments to the global poor — has experimented with using Flood Hub warnings to send families hundreds of dollars in cash aid days before an expected flood to help themselves prepare for the worst. As the threat of extreme weather grows, thanks to climate change and population movement, this is the kind of cutting-edge philanthropy. Even what seems to be the best applications for AI can come with their drawbacks. The same kind of AI technology that allows AlphaFold to help speed drug development could conceivably be used one day to more rapidly design bioweapons. AI scribes in medicine raise questions about patient confidentiality and the risk of hacking. And while it's hard to find fault in an AI system that can help warn poor people about natural disasters, the lack of access to the internet in the poorest countries can limit the value of those warnings — and there's not much AI can do to change that. But with the headlines around AI leaning so apocalyptic, it's easy to overlook the tangible benefits AI already delivers. Ultimately AI is a tool. A powerful tool, but a tool nonetheless. And like any tool, what it will do — bad and good — will be determined by how we use it. A version of this story originally appeared in the Good News newsletter. Sign up here!