Google Cloud Platform (GCP) launched its first services around 2008, with App Engine as an early product. It expanded significantly in the 2010s as Google invested heavily in competing with AWS and Azure for enterprise cloud workloads.
GCP runs on the same infrastructure that powers Google Search, YouTube, and Gmail — a global network of data centers connected by private fiber. This gives GCP an advantage in network performance and data analytics at scale.
Key GCP services include Compute Engine (VMs), Google Kubernetes Engine (GKE), Cloud Functions (serverless), BigQuery (data warehouse), Cloud Spanner (globally distributed database), and Vertex AI (machine learning platform). GKE is particularly notable — Google originally created Kubernetes, and GKE is considered the most mature managed Kubernetes offering.
Google Cloud’s annual revenue surpassed $33 billion in 2023, and the division turned its first operating profit that year after years of heavy investment. Growth has been driven by data analytics, AI/ML workloads, and multi-cloud strategies where enterprises choose GCP for specific strengths.
Google Cloud has been especially aggressive in AI. Its TPU (Tensor Processing Unit) chips are used internally and offered to cloud customers. Partnerships with AI companies and the availability of Gemini models through Vertex AI have strengthened GCP’s position in the AI infrastructure race.
Led by Thomas Kurian (CEO since 2019, former Oracle executive), Google Cloud employs a large and growing sales and engineering team. GCP serves customers including Spotify, Snap, PayPal, and major retailers. While it trails AWS and Azure in overall market share, GCP has found strong niches in data engineering, Kubernetes, and AI workloads.
