DigitalOcean Holdings, Inc. (DOCN) Business Profile

What it does

DigitalOcean provides cloud computing services that let developers and businesses build and run applications without operating all of their own computing infrastructure. Its customers range from individual developers experimenting with technology to growing companies running applications for their own users. The company was incorporated in 2012, is headquartered in Broomfield, Colorado, and is led by Chief Executive Officer Padmanabhan Srinivasan.

Its core products include virtual machines, called Droplets, along with storage and networking. Customers can manage this infrastructure themselves or use services that handle more of the work for them, such as managed hosting, databases and Kubernetes. Its App Platform handles infrastructure and application runtimes for developers deploying code.

DigitalOcean also sells computing capacity and software for artificial intelligence. GPU Droplets and bare-metal GPU servers give customers access to processors used for AI workloads. The Gradient AI Platform provides access to models and tools for building and deploying AI applications and agents. DigitalOcean has also launched managed agents, agent learning services and agent data services.

Customers use the platform to host websites, develop web and mobile applications, incorporate AI into their businesses and create AI products. They can sign up through a self-service model, use technical documentation and receive customer support. DigitalOcean also uses sales teams and partnerships to reach and assist customers.

How it makes money

DigitalOcean generates revenue primarily when customers use its cloud platform. Pricing is primarily consumption-based, and most customers use the platform month to month. Some customers with larger workloads enter into contracts that commit them to a minimum level of spending. Revenue is recognized largely according to customers’ use of the offerings.

The infrastructure business includes Droplet virtual machines, storage and networking. Customers can select computing configurations and add storage to suit applications, databases and backup needs. Droplet purchases include bandwidth that can be pooled across resources in a customer’s account. DigitalOcean says its infrastructure pricing is the same across regions and usage volumes.

Managed services provide another way to use the platform. With managed hosting, customers can offload day-to-day infrastructure management. Managed databases and Kubernetes reduce the work involved in running those technologies, while the App Platform handles infrastructure and application runtimes. DigitalOcean also offers paid support plans with faster response times and dedicated technical managers, alongside free customer support.

AI offerings include GPU Droplets, bare-metal GPU servers and the Gradient AI Platform. The platform provides access to third-party foundation models and tools for building agents. DigitalOcean also offers managed agents and related data and learning services. Customers can combine these products with the company’s core cloud services.

In Q3 2026, revenue was $321 million. DigitalOcean’s disclosed 2025 annual run-rate revenue was $970 million; that metric is not the same as annual reported revenue.

Customers and how it sells

DigitalOcean serves individual developers, startups and growing or scaled businesses across industries including online gaming, financial technology and cybersecurity. Their uses range from a discrete development task to running production and test workloads. Amplitude is building its Amplitude Wave product on DigitalOcean’s AI-native cloud.

The company focuses on Digital Native Enterprise customers, defined as users spending more than $500 in a month. It had approximately 21,000 such customers as of December 31, 2025, compared with approximately 18,000 as of December 31, 2024. In Q3 2026, its top 25 customers represented 27.0% of revenue.

Customers can discover and begin using the platform through its website and self-service funnel. Tutorials, developer outreach and events support that channel. Sales teams also seek new business, help customers migrate workloads and work with existing customers to expand their usage.

Customers are spread across approximately 190 countries. For the year ended December 31, 2025, 38% of revenue came from North America, 28% from Europe, 23% from Asia and 11% from the rest of the world. DigitalOcean leases data centers in the United States and several other countries. Richmond, Kansas City and Memphis facilities were live and ramping by Q3 2026.

Suppliers and costs

DigitalOcean leases data center space and operates servers and a private network to deliver its services. It works with hardware manufacturers when designing its server platforms and sources equipment for its computing infrastructure. Its GPU offerings include technology from AMD and NVIDIA; the company also works with data center providers on facility build-outs and the components required for them.

Personnel and co-location costs are operating expenses, while capital expenditures include investment in AI and core cloud offerings. DigitalOcean expects to continue spending on infrastructure, hardware, data center capacity, product development, sales and marketing. It also uses equipment financing as part of its funding strategy.

New data centers and GPU capacity reduced gross margin as they came online. DigitalOcean expects gross margin to face pressure when depreciation and data center lease costs begin before revenue from a new facility has ramped. Equipment availability and pricing can affect costs, and the company competes with other buyers for high-demand equipment such as GPUs.

Competitive position

DigitalOcean competes in cloud infrastructure and services with diversified technology companies including Amazon Web Services, Microsoft Azure, Google Cloud, IBM Cloud, Alibaba Cloud and Oracle Cloud. It also competes with smaller or more specialized cloud providers, including OVHcloud, Akamai’s Linode, Hetzner, Vultr and Contabo. For AI infrastructure and services, its competitors include the major cloud providers as well as Coreweave and Lambda Labs. In managed hosting, it competes with providers including Kinsta and WP Engine.

The company focuses on growing technology businesses and developers. It competes on factors including ease of use, deployment speed, pricing transparency, functionality, performance, security, support and geographic reach. Customers can use infrastructure directly or choose managed offerings that take over some operational work.

Our reading: The developer community and self-service model provide a moderate source of differentiation because tutorials and support help users get started, though competitors also offer cloud services. Our reading: The combination of core cloud and AI products can support customer relationships as users adopt more services, but the available evidence does not establish that customers cannot switch. Our reading: Pricing transparency and a focus on smaller technology businesses help distinguish the offering, while competition from both broad cloud platforms and specialist providers limits the strength of that advantage.

Growth opportunities

DigitalOcean’s growth strategy includes increasing usage by existing customers and attracting more AI-native and cloud-native businesses. It is investing in an AI sales team, migration services and product development aimed at Digital Native Enterprise customers. It also uses account management to reach higher-spending customers and identify additional workloads they could move to its platform.

The company continues to invest in both core infrastructure and AI products. Its AI services now include managed agents, agent learning services and agent data services. DigitalOcean expects new products, customer outreach and migration support to increase revenue from existing customers. It also intends to pursue partnerships and acquisitions that can expand its offerings or customer acquisition.

Annual run-rate revenue was $970 million as of December 31, 2025, compared with $820 million as of December 31, 2024. In Q3 2026, revenue grew 40% year over year and total annual run-rate revenue ended the quarter at approximately $1.28 billion. Token volume grew roughly 10x quarter over quarter.

DigitalOcean says demand continues to exceed its supply. Its three planned 2026 data centers were live and ramping by Q3, and it had approximately 180 megawatts of committed capacity. The company expects revenue growth of approximately 34% for full year 2026 and 60% or more for full year 2027.

Structural risks

• Customer demand and retention: Results can fluctuate with demand, pricing and usage of the platform, as well as DigitalOcean’s ability to attract customers, retain them and increase their usage. Customers’ commitments to or familiarity with other platforms can make acquisition harder.
• Competition: Cloud and AI markets are competitive and changing. DigitalOcean faces diversified technology companies and specialized providers, while new technologies, entrants and changes in competitive dynamics can affect its business.
• Capacity and suppliers: The company depends on data center operators, telecommunications providers, utilities and equipment suppliers. Service changes, limited power or bandwidth, equipment shortages and supply-chain disruptions can affect delivery and capacity. It also competes for GPUs.
• Investment and funding: Data center expansion, hardware and product development require substantial spending. New facilities can bring depreciation and lease costs before their revenue ramps, while supplier commitments can expose the company to prices above market rates.
• Security and reliability: Security breaches, technical difficulties, service interruptions or failures of redundancy and disaster recovery systems can affect the delivery and use of the platform. Fraudulent registrations and usage can also create costs and capacity constraints.
• Regulation and international operations: Privacy, data protection, AI, trade and other rules vary across jurisdictions and continue to evolve. Changes can require compliance spending or prevent the company from operating in a market or serving certain customers.

Bottom line

Our reading

DigitalOcean combines a consumption-based cloud business with a growing set of AI infrastructure and software services, selling to developers and technology companies rather than relying solely on GPU capacity. [item7, call_prepared] Its opportunity to expand customer usage sits alongside exposure to capacity availability, equipment costs and the upfront expense of bringing new data centers online. [item1a, call_prepared] Customer concentration also warrants attention as the company grows its larger accounts. [call_prepared]