A breakdown of Google Cloud's rivalry with AWS and Azure as analysts expect $26B in 2022 GCP revenue and IDC predicts ~30% YoY cloud market growth until 2025
When Amazon's cloud computing network went down on Dec. 7, it hampered a broad swath of companies that rely on its servers, including Disney, Netflix, and Ticketmaster. Tweets: @nicoagrant Tweets: Nico Grant / @nicoagrant : New details here about Google's Project Drawbridge and Project Moat, efforts to bolster Google Cloud's reliability after high-profile outages. It turns out the global network that keeps Search running isn't always ideal for the cloud. In the next @BW issue https://www.bloomberg.com/...
Context & Ripple Effects
Google Cloud has spent years playing catch-up: Diane Greene's tenure was defined by a struggle to close the gap with AWS and Azure, including internal tension over projects like Maven. The new Bloomberg breakdown lands at an inflection point — analysts expect $26B in 2022 GCP revenue while IDC sees the overall cloud market growing roughly 30% year-over-year through 2025.
The immediate trigger is reliability. After Amazon's December 7 outage disrupted Disney, Netflix, and Ticketmaster, Bloomberg's Nico Grant details Google's Project Drawbridge and Project Moat — efforts to fix the fact that the global network built for Search isn't always ideal for running cloud customers' workloads.
First-order effects
- AWS's December 7 outage put its biggest named customers — Disney, Netflix, Ticketmaster — visibly offline, handing Google a sales argument just as it rolls out Drawbridge and Moat to harden GCP infrastructure.
- Google is now engineering its network specifically for cloud reliability rather than inheriting Search's architecture, a direct response to the outages that have undercut its enterprise pitch.
Second-order effects
- With IDC projecting ~30% annual market growth through 2025, every reliability incident pushes large buyers toward multi-cloud setups, letting Google compete for workloads AWS would otherwise keep by default.
- Azure faces the same dynamic: if Google converts reliability into a differentiator, Microsoft must match it on uptime guarantees rather than competing only on enterprise relationships.
Third-order effects
- If the pattern holds, hyperscale competition shifts from raw scale to trust — uptime, security posture (a thread back to Google's 2018 DDoS and transparency push), and specialized workloads — which is exactly where Google's later AI-era wins over AWS, including business from OpenAI, suggest the strategy landed.
- A market growing ~30% a year through 2025 can support three credible platforms, structurally ending the AWS-default era and forcing all three hyperscalers to compete segment by segment.
The trend: Cloud computing is moving from a scale-dominated land grab into a three-way contest decided on reliability and specialized AI workloads, with Google closing the gap it failed to close under Greene.