Predicting the long run is tough.
As an analyst, that’s precisely what individuals hope I can do. After all, nobody can predict the long run, however we are able to mannequin numerous outcomes given the perfect knowledge we now have readily available.
So utilizing the information, let’s make a prediction about the long run influence of AI on enterprise networks.
There are a lot of methods to strategy this, however the important thing space I’ll tackle on this weblog sequence is the influence of AI on enterprise community configurations. The 2 key areas the place our knowledge are helpful for this are predicting the budgetary influence of:
- AI-driven bandwidth demand will increase.
- The continuing transfer away from office-to-office connectivity to connecting customers to property within the cloud.
I’m not going to handle how automation will change community administration itself, however moderately how these above modifications influence the entire price of possession (TCOs) of ensuing WAN configurations.
Deep studying and LLMs require giant transfers of information for coaching and inference. Palo Alto lately launched a report that they noticed an 890% improve in bandwidth demand final yr. That’s huge! After all that’s largely between knowledge facilities, however the implications for any department workplace or website are nonetheless clear. Nokia predicts that AI-specific site visitors will develop at a CAGR of 24% a yr via 2033. A lot of the work of AI is occurring within the cloud, making conventional MPLS architectures with centralized breakouts inefficient and sluggish. To not point out costly
Whereas we are able to’t predict a lot in regards to the influence of AI on particular traces of enterprise, we can actually have a look at how giant will increase in bandwidth demand and cloud-centric hybrid architectures influence community prices. This weblog sequence will tackle modeling a number of attainable AI-age community configurations and the way they’ll influence budgets. I do that on a regular basis for patrons of our WAN Price Benchmark platform, which is the software we’re utilizing to do that modeling.
Modeling Community Configurations
Now we have been working numerous hypothetical eventualities since 2019, however in 2025, we would have liked a serious revision to maintain tempo with these new AI-driven configurations. This evaluation will have a look at a regular and high-capacity MPLS community and examine that to:
- a Conservative Tiered Websites WAN,
- a regular Tiered Websites WAN,
- a pared-down Distant Employee Hybrid WAN,
- an Web-First WAN,
- and probably the most radical revision, a Hub and Spoke WAN.
Apart from the Distant Hybrid WAN, the entire hypothetical community eventualities have the identical bodily geography throughout 150 international websites. Our goal once we created this unique hypothetical community in 2019 was to seize a smaller enterprise/multinational community (and to maintain the comparability work simpler for our analysts!) and to ensure that it captures developments in key markets all around the world. Our community contains seven knowledge facilities among the many 150 websites in key regional knowledge heart hub cities:
- Tokyo
- Hong Kong
- Frankfurt
- London
- Ashburn
- San Jose
- São Paulo
We don’t specify a vertical for this hypothetical enterprise; nevertheless, it’s possible closest to a enterprise companies firm (assume consulting, accounting, regulation agency) as most websites are in a key metro’s downtown or suburbs. This doesn’t symbolize an business with rural or distant websites which have very lengthy entry traces; most of our entry traces are within the 0-5 km and 6-15 km ranges. Whereas our websites fall principally within the U.S. & Canada and Western Europe, the community spreads throughout the globe.
Share of Websites in Every Subregion–All WAN Eventualities
Observe: Every part represents the entire contribution of the listed area to the worldwide WAN measurement.
Hypothetical Community Map
Twin MPLS WAN
Our baseline or management Twin MPLS community is supposed to symbolize what enterprises are forsaking: an all-MPLS community with active-active twin ports and absolutely redundant entry traces. The geographic distribution of the common bandwidth obtainable at every website featured under displays the entire bandwidth availability of the community and the way websites are distributed inside every area. We are going to use this chart to match modifications to the community configurations and the way they influence obtainable bandwidth. This chart represents the entire bandwidth of all underlay merchandise at every particular person website, averaged throughout the complete subregion. For the beginning community that’s merely twice the MPLS port we chosen as it’s an active-active MPLS community.
Common Complete Bandwidth per Web site in Every Subregion—Twin MPLS WAN
Observe: Every bar represents the common complete website bandwidth, together with a number of ports or underlay companies, throughout all websites within the listed subregion.
- East Asia has the very best bandwidth, with a median of two,868 Mbps, as a result of it has two knowledge facilities (DCs) and comparatively fewer websites than Western Europe or the U.S., which additionally has two DCs.
- Equally, the common in Latin America is introduced as much as a median bandwidth of 907 Mbps by the Brazilian DC.
- Different areas present a lot smaller common bandwidths, particularly these which can be costly. Within the community design, we stored price in thoughts to replicate the truth that bandwidth could also be restricted in high-cost places.
The common bandwidth per website globally is 1,298 Mbps; nevertheless, that is introduced up considerably by the big capacities on the knowledge facilities and some giant headquarters or campuses. Typical websites are a lot decrease, within the 10-200 Mbps vary.
Distribution of Complete Web site Speeds—Twin MPLS WAN
Observe: Every part represents the proportion of complete website bandwidths that fall inside every bandwidth vary.
- For the reason that WAN has active-active MPLS ports, the entire website pace is definitely twice that of the only port, which is the quantity we concentrate on to find out the obtainable bandwidth at any given website or throughout the community.
- Solely about one-quarter of websites have a complete bandwidth of 100 Mbps or much less.
- About 15 websites, or 11%, are above GigE. These symbolize the seven knowledge facilities and some giant regional hubs.
Excessive Capability Twin MPLS WAN
Our beginning management community would show strained underneath AI-drive bandwidth calls for, so we added an extra management community. Within the MPLS atmosphere, many enterprises would renew on a three- and even five-year foundation and maybe solely then tackle rising bandwidth necessities. This extra management is in place to reveal the state of affairs the place maybe a WAN supervisor in 2025 was renewing a community that they had bought in 2022 and now wanted to spice up bandwidth by no less than 50% throughout the board. If this enterprise was not but capable of undertake SD-WAN/SASE and nonetheless wanted MPLS at each website, we needed to see the price influence of a bigger MPLS community.
Common Complete Bandwidth per Web site in Every Subregion—Twin MPLS WAN vs. Excessive Capability Twin MPLS WAN
Observe: Every bar represents the common complete website bandwidth, together with a number of ports or underlay companies, throughout all websites within the listed subregion.
- The common bandwidth per website comes out to 2,133 Mbps, which is a 64% improve over the unique MPLS community.
Distribution of Complete Web site Speeds—Excessive Capability Twin MPLS WAN
Observe: Every part represents the proportion of complete website bandwidths that fall inside every bandwidth vary.
- We not have any bandwidths within the 11-20 Mbps vary.
- The smallest bandwidth vary, 21-50 Mbps, has dropped from about 13% to three% of the worldwide WAN.
- The proportion of websites falling within the bandwidth vary 501-1,000 Mbps has decreased by about 1%, now accounting for 13% of websites.
- Round 25% of the websites now have a bandwidth bigger than GigE.
So, how do these bigger bandwidths influence price? Effectively, the price per bit goes down with larger capacities, so whereas we anticipate prices to go up considerably, we didn’t anticipate prices to go up by as a lot because the bandwidth improve.
Authentic Twin MPLS and Excessive-Capability Twin MPLS Situation TCOs
Observe: Every column represents the entire annual price of possession for that WAN state of affairs, damaged out by product in every colour part.
- Whereas the common bandwidth obtainable per workplace went up by 64%, the TCO solely rose by 43%, going from $8.1m to $11.6m.
- Whereas the unit price benefit is evident, this could nonetheless symbolize a drastic change in price range for the community to accommodate the rising bandwidth calls for of the trendy enterprise.
Whereas nobody would need to improve their community price range by 43%, that isn’t the tip of the story. An all-MPLS structure is inefficient for internet-driven cloud site visitors, and previous class of service expertise can’t reap the benefits of software particular coverage and efficiency administration when enterprises undertake SD-WAN.
Within the subsequent posts we’re going to have a look at numerous hybrid eventualities that reap the benefits of SD-WAN, native breakouts for higher cloud connectivity, and elevated bandwidth.