The quantum computing in the cloud market across the U.S. and North America is expected to grow from $1.2B in 2025 to $7.9B by 2030, reflecting a CAGR of 45.1%. Fueled by expanding R&D investments, cloud-based quantum services are moving toward commercial scalability. By 2030, over 70% of enterprises using advanced analytics will integrate quantum cloud access for optimization, simulation, and cybersecurity applications. Strategic partnerships between hyperscalers (AWS, IBM, Google Cloud) and quantum hardware startups are accelerating innovation cycles, while federal funding and corporate consortia are driving the U.S. toward leadership in quantum infrastructure and commercialization.

The U.S. and North American quantum cloud market is expected to expand from $1.2B in 2025 to $7.9B by 2030, marking a CAGR of 45.1%. The United States will dominate with 82% market share, driven by the presence of IBM Quantum, AWS Braket, Google Cloud Quantum AI, and Microsoft Azure Quantum. Canada will contribute 12%, fueled by national R&D programs supporting quantum hardware and cryptography startups. By 2030, Quantum-as-a-Service (QaaS) will represent the dominant delivery model, accounting for 65% of revenue streams, with enterprise clients adopting subscription-based pricing. Increased government investment in quantum infrastructure and federal defense initiatives will further position North America as the global hub for quantum commercialization.
Cloud-based quantum computing is rapidly transitioning from research environments to commercial deployments in North America. Telecom, financial services, and healthcare enterprises are testing hybrid quantum models for simulation, optimization, and risk modeling. The integration of quantum hardware via the cloud allows enterprises to bypass capital-intensive infrastructure costs while benefiting from scalable access. From 2025 to 2030, QaaS offerings are projected to grow 300%, driven by partnerships between tech giants and quantum startups such as Rigetti, IonQ, and D-Wave. Meanwhile, error-correction improvements and AI-based calibration systems will boost reliability by 45%, bringing quantum workloads closer to real-world enterprise adoption.

The market divides into hardware integration (35%), software and algorithm design (25%), Quantum-as-a-Service (QaaS) platforms (25%), and consulting & ecosystem enablement (15%). Hardware integration leads with 35%, as cloud providers collaborate with quantum chipmakers to achieve scalability. Software design, making up 25%, focuses on quantum error correction, algorithm optimization, and development toolkits. QaaS platforms account for 25%, enabling flexible and subscription-based quantum access through AWS, IBM, and Azure. Finally, consulting & ecosystem services, at 15%, support enterprise integration, compliance, and training for quantum readiness, critical for large-scale adoption by 2030.
In North America, the U.S. dominates with 82% market share, led by key innovation centers in California, Massachusetts, and Texas, where federal and private R&D programs are expanding quantum capabilities. Canada, holding 12%, emphasizes quantum cryptography and academic R&D, backed by the Canadian Quantum Strategy (CQS) and companies like Xanadu and D-Wave. Mexico and regional consortiums account for the remaining 6%, focusing on data infrastructure collaboration. By 2030, cross-border integration of quantum resources will enable a North American quantum cloud network, advancing interoperability and shared research.

Major players include IBM Quantum, AWS Braket, Google Cloud Quantum AI, Microsoft Azure Quantum, IonQ, Rigetti, and D-Wave Systems. IBM leads the sector with 400+ corporate clients using its Quantum Network, while AWS Braket offers multi-vendor cloud access for hybrid computation. Google continues to advance quantum supremacy benchmarks, focusing on scaling qubit counts beyond 1,000 by 2028. D-Wave and Rigetti specialize in quantum annealing and superconducting qubits, respectively, supporting enterprise-grade cloud integrations. Microsoft Azure Quantum provides a unified interface for quantum workloads across hardware partners, reinforcing its role in cloud–quantum convergence. The competitive focus is shifting toward error correction, pricing models, and enterprise-ready scalability.