DUBLIN--(BUSINESS WIRE)--The "Webscale Network Operators: 1Q24 Market Review" report has been added to ResearchAndMarkets.com's offering.
This report reviews the growth and development of the webscale network operator (WNO) market since 2011. In the most recent 12 months (2Q23-1Q24), webscalers represented $2.42 trillion (T) in revenues (+7.6% YoY), $295 billion (B) in R&D spending (+5.5% YoY), and $204B in capex (+1.5% YoY). They had $658B of cash and short-term investments (+4% YoY) on the books as of March 2024, and $550B in total debt (+0.2% YoY). Webscalers employed approximately 4.161 million (M) people at the end of 1Q24, up a bit from the March 2023 total of 4.080M.
Webscalers maintain growth momentum in 1Q24
During COVID, the webscale sector expanded dramatically, with revenue growth of 18% and 25% in 2020 and 2021, respectively. The following two years saw a reversal, with 4 and 6% growth rates. So far, 2024 looks promising: revenues rose by 8.1% YoY in 1Q24. Annual revenue growth of between 5-10% growth in the industry is likely to persist. Global economic growth has improved, the digital ad market is recovering, cloud services penetration marches on, TikTok is facing backlash, Huawei's device business remains in the doldrums, and - perhaps most importantly - the sector is enthusiastic about opportunities surrounding Generative AI. All factors tend to benefit the revenue growth measured by the webscale tracker.
By company, not every webscaler is growing. Apple's revenues dipped 4.3% on a YoY basis in 1Q24, while Baidu saw revenues fall 3.3% YoY. Apple's revenues regularly swing up and down with product introductions and network upgrades, though. Baidu's outlook is improving, as its ERNIE AI platform matures and autonomous vehicle opportunities expand. More important, the giants of the sector are all growing like weeds; Meta revenues surged by 27% in 1Q24, followed by Microsoft (17%), Alphabet (15%), and Amazon (13%).
Revenues per employee in the webscale sector ended 1Q24 at $592K, from $544K in 1Q23; free cash flow per employee jumped even more noticeably, from $79K in 1Q23 to $112K in 1Q24. These swings are due both to rising revenues and even more quickly rising profits, and the sector's headcount growth easing in the last two years. Webscale headcount ended 1Q24 at 4.161M, up only slightly from the 1Q22 total of 4.140M. The small webscalers JD.Com and Yandex both saw double digit employment growth between 1Q23 and 1Q24, but several others saw erosion: Alibaba (-12.9%), Meta (-10.1%), Alphabet (-5.1%) Baidu (-3.6%), and Tencent (-1.1%). The sector will see additional layoffs as big webscalers attempt to implement Generative AI in their own operations in search of labor cost savings. The same thing is already happening in the telco sector.
Tech spending: Capex surges 25% YoY in 1Q24 as webscalers expand GenAI efforts; R&D spend remains elevated
Generative AI has captured the public's imagination, and is covered endlessly by tech and financial journalists. There appears to be a land grab to build GenAI models as fast as possible. Webscalers have ramped up data center spending dramatically. That has directly benefited one specific chip vendor, NVIDIA, as the race to train models accelerates. Suddenly this company has a market cap just below that of Microsoft and Apple. Is any of this sustainable? Does NVIDIA have some sort of first mover advantage? Do the webscalers currently blanketing the world with AI-centric data centers have such an advantage?
The current hype will almost inevitably die down soon. Competitors will catch up, the dark side of GenAI will become more apparent (and regulated), other sectors will attract investments. China's behind the scenes work to develop "homegrown" alternatives (on the chip and GenAI model fronts) will bear more tangible fruit. The parallel threats to Taiwan's independence will get more severe. You can't just view the future through rose-colored glasses.
Total capex for the four quarters ended 1Q24 was $204B, up 1.5%. For 1Q24 alone, capex was $56.9B, up a whopping 24.7%. Moreover, the tech piece of capex has been surging: Network/IT and software capex for webscalers was about $35.4B in 1Q24, up 53%. That is unlikely to be the norm, to be clear. Capex is volatile in the webscale sector and driven by just a few big players; the top 4 captured 78% of 1Q24 annualized tech capex. But the prospects for 2024 are strong.
R&D spend within webscale has amounted to over 12% of revenues for the last 6 quarters, ending 1Q24 at 12.2%. The R&D intensity ratio has been creeping up in webscale for some time, as companies spend heavily to enter into new markets such as robotics, healthcare, financial services, and more. A good chunk of this R&D cash also targets the development of proprietary tech for the physical infrastructure of data centers underlying their operations: new chips and other hardware, not just smarter software. This is always on the mind of the big suppliers to the webscale sector: the risk that they'll be replaced by a homegrown alternative emerging out of the webscalers' enormous R&D budget. Until it happens, the risk will likely be underappreciated in public expectations.
GenAI - webscale's new lifeforce
For the last several years, adoption of cloud services was a primary motivator for incremental investments; they drove data center spread and design evolution at Alphabet, Amazon, Microsoft and Oracle. Short-form video content and gaming were also important drivers. This could be seen in the big related investments made by Alphabet and Meta, and Microsoft's biggest acquisition ever (of Activision, for $69B). Then in early 2023 - alongside these other trends - GenerativeAI's potential suddenly reached mass market awareness. In reality, GenAI was cooking for many years prior to this, but January 2023 was a turning point with the release of ChatGPT: it reached 100 million users by the end of the month. Other platforms were rushed to market, and any big tech company (webscaler or not) without investments in GenAI quickly scurried around to cobble something together, or invest in a third party. Amazon, for instance, invested heavily in Anthropic, as did Alphabet. Chinese webscalers each launched their own native offerings.
There is surely some unrealistic hype being floated about the potential of GenAI to solve all the world's problems - cure diseases, find solutions to global conflict, invent new forms of transportation, etc. This happens every time markets get excited about a new technology. There is always a 'tech leader' willing to make obnoxiously grandiose statements, and a receptive audience to echo some of the nonsense. That said, GenAI has real potential to develop new markets over the next few years, and it is a legitimate reason to accelerate data center investments. The exact shape and size and location of such investments are not yet clear, and that uncertainty can slow down investment. But GenAI is not going away. The publisher suspect the quest to monetize GenAI will drive a land grab for more capable data centers and supporting supercomputer clusters for several years to come.
Spending outlook
Virtually all webscalers are citing GenAI enthusiasm as a driver to spend heavily on expansion of their data center footprints and acceleration of moves into high-powered computing. There is some gamesmanship at play, as nobody wants to appear to be the slow mover. There is widespread excitement about the potential for new applications that GenAI brings, even though it hasn't yet created lots of new revenue streams. There is also concern about availability of chips needed for model training. Markets will stabilize in the next 2-3 quarters. NVIDIA will remain an important company in the webscale space, but its recent growth trajectory will likely prove to be a blip and wildly unsustainable.
Here is a summary of the spending outlook for key webscalers:
- Amazon (1Q24 capex of $14.9B, up 5% YoY)
- Alphabet ($12B, up 91% YoY)
- Microsoft ($11B, +66% YoY)
- Meta ($6.4B, -6% YoY)
- Tencent ($2.0B, +211% YoY)
- Apple ($2.0B, -32% YoY)
- Oracle ($1.7B, -36% YoY)
- Alibaba ($1.6B, +207% YoY)
- Baidu ($284M, +50% YoY)
Forecast outlook
The Dec 2023 forecast called for $202B in 2023 webscale capex; the actual total was a bit lower, $193B. Since the turn of the year, though, key webscalers have accelerated data center investments with a focus on building out training and inference capabilities for GenAI. Spending outlook for 2024 and even 2025 has increased. As such, in April 2024, The publisher alerted clients to a need to upgrade the spending outlook slightly.
It is unlikely for the rapid capex growth rate of 1Q24 to persist throughout the year. There are some supply side constraints in the availability of GPUs, and there are also some energy supply constraints. Powering all these new data centers will require huge amounts of new electricity supply, and most webscalers have ambitious carbon neutrality goals. It will take some time for adequate renewables to become available.
The hype around GenAI may die down a bit as the focus turns to business models and return on investment. Last year, analysts estimated for 2024 and 2025 capex spend of $203B and $218B respectively. Now, though, the GenAI hype is expected to push spending up by another $10-20B.
Key Topics Covered:
- WNO Market: Key Stats
- Company Drilldown
- Top 8 WNOs
- Company Benchmarking
- Regional Breakouts
- Raw Data
- Exchange Rates
Companies Featured
- Alibaba
- Alphabet
- Altaba
- Amazon
- Apple
- Baidu
- ChinaCache
- Cognizant
- eBay
- Fujitsu
- HPE
- IBM
- JD.com
- Meta (FB)
- Microsoft
- Oracle
- SAP
- Tencent
For more information about this report visit https://www.researchandmarkets.com/r/6zugtq
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