United States Quantum Computing Market Size and Share

United States Quantum Computing Market (2025 - 2030)
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United States Quantum Computing Market Analysis by Mordor Intelligence

The United States quantum computing market size stands at USD 0.63 million in 2025 and is projected to expand at a 26.34% CAGR to touch USD 1.7 billion by 2030, underscoring the sector’s rapid commercialization trajectory. Federal appropriations under the CHIPS and Science Act, NIST’s 2024 release of quantum-resistant encryption standards, and corporate urgency to future-proof cryptographic infrastructure are converging to accelerate adoption. Superconducting platforms maintain a commanding lead thanks to continual qubit-count scaling, yet topological architectures are gaining momentum as error-correction breakthroughs shrink the performance gap. Cloud-based quantum-as-a-service offerings drive accessibility, while hybrid classical-quantum workflows shorten time-to-value for enterprises experimenting with optimization, simulation, and security use cases. Persistent supply-chain bottlenecks around cryogenics and isotopes, coupled with a mid-career talent shortage, temper growth but do not derail the long-run outlook.

Key Report Takeaways

  • By technology, superconducting qubits led with a 47.83% United States quantum computing market share in 2024, whereas topological qubits are forecast to advance at a 27.22% CAGR through 2030. 
  • By deployment model, cloud-delivered quantum-as-a-service captured 59.73% of the United States quantum computing market size in 2024; hybrid classical-quantum solutions are poised to grow at a 27.56% CAGR to 2030. 
  • By application, financial modeling and portfolio optimization accounted for 29.84% of the United States quantum computing market size in 2024, while drug discovery and molecular simulation are projected to expand at a 26.99% CAGR over the same horizon. 
  • By end-user industry, BFSI generated 28.73% of 2024 revenue in the United States quantum computing market, and healthcare and life sciences are on track for the fastest 27.07% CAGR through 2030.

Segment Analysis

By Technology: Superconducting Leadership, Topological Disruption Brewing

Superconducting qubits delivered 47.83% of 2024 revenue in the United States quantum computing market, buoyed by rapid qubit-count scaling exemplified by IBM’s 1,121-qubit Condor processor. The United States quantum computing market size for superconducting platforms is projected to reach USD 800 million by 2030 as fabrication techniques inherited from conventional CMOS foundries continue to drive density gains. Yet the technology’s sensitivity to noise and cooling demands fuels interest in alternative modalities. 

Topological qubits, though nascent, are forecast to expand at a 27.22% CAGR as Microsoft’s Majorana-based breakthroughs promise intrinsic error suppression. Trapped-ion architectures from IonQ and Quantinuum appeal to enterprises seeking high-fidelity gates for optimization tasks, while photonic qubits target quantum networking and secure communications. Quantum annealers remain niche, addressing combinatorial optimization in logistics and finance. Collectively, this diversity positions the United States quantum computing market to satisfy different performance, cost, and regulatory requirements as hardware matures.

United States Quantum Computing Market: Market Share by Technology
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By Deployment Model: Cloud Dominance, Hybrid Momentum

Cloud quantum services commanded 59.73% of 2024 spending, reflecting enterprises’ preference to rent rather than own exotic hardware. The segment’s United States quantum computing market size is on track to surpass USD 1 billion by 2030 as AWS, IBM, and Azure enlarge capacity, add hardware diversity, and extend developer tooling. Subscription-based access shortens proof-of-concept cycles and shifts capex to opex, attracting mid-market firms. 

Hybrid classical-quantum solutions, the fastest-growing deployment model at 27.56% CAGR, integrate quantum kernels into HPC workflows, exploiting quantum speedups while retaining classical control logic. On-premises machines persist in defense and regulated sectors requiring air-gapped environments, but the cost premium confines demand to a narrow cohort. Over time, as error-rates fall and cryogenic form-factors shrink, hybrid architectures could displace pure cloud consumption, yet cloud will remain the default entry point for new adopters.

By Application: Finance Leads, Drug Discovery Accelerates

Financial optimization used quantum Monte Carlo and portfolio-rebalancing algorithms to secure 29.84% revenue share in 2024. Early pilots delivered run-time reductions in derivatives pricing, reinforcing BFSI’s first-mover posture. The United States quantum computing market share for finance applications is expected to contract gradually as other verticals scale, but absolute spending will still rise given expanding total demand. 

Drug discovery and molecular simulation, expanding at a 26.99% CAGR, reflect pharma’s appetite for accelerating lead-candidate screening. Roche’s collaboration with IBM targets reducing protein-folding timeframes, a tangible business benefit that can translate into earlier clinical entry. Cybersecurity, logistics optimization, machine learning acceleration, and material science form a second wave of growth opportunities aligned with regulatory milestones and federal research grants.

United States Quantum Computing Market: Market Share by Application
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By End-User Industry: BFSI Out-in-Front, Healthcare Ramping Fast

The BFSI cohort captured 28.73% of 2024 revenue as quantitative trading desks, risk managers, and compliance teams scrambled to derive even marginal speed advantages. Although its United States quantum computing market size dominance will taper slightly by 2030, incremental regulations like Basel IV and the SEC’s cyber-risk disclosures preserve spending momentum. 

Healthcare and life sciences, rising at 27.07% CAGR, exemplify how quantum simulation compresses R&D timelines for biologics and small molecules. Government and defense segments prioritize quantum-safe communications, while automotive, aerospace, and energy industries experiment with materials design and supply-chain routing. Academic institutions, buoyed by NSF awards, continue to serve as crucibles for algorithm innovation that later migrates into commercial stacks.

Geography Analysis

California anchors more than 40% of company headquarters and research centers engaged in the United States quantum computing market, benefiting from proximity to cloud-service giants and a deep venture-capital pool. Google’s Santa Barbara lab, IBM’s Almaden facilities, and a constellation of startups provide a critical mass of talent, intellectual property, and pilot customers. Washington state supplements West-Coast leadership through Microsoft’s Redmond presence and robust university programs. 

The Northeast advances through IBM’s quantum headquarters in New York and academic nodes at MIT, Harvard, and Yale. State-level incentives, including New York’s USD 100 million corridor initiative, attract hardware makers and software spinouts. Financial-services density in New York City supplies ready demand for quantum risk analytics, while Boston’s innovation ecosystem feeds a steady stream of post-docs into commercial roles. 

Midwest and Southern states secure federal funding to diversify geographic participation. Colorado leverages NIST laboratories, Illinois taps Argonne National Laboratory for networked-quantum research, and Texas courts hardware suppliers through tax incentives. These programs emphasize workforce-development pipelines and specialized fabrication capabilities, broadening the United States quantum computing market’s talent and supply-chain base beyond legacy tech hubs.

Competitive Landscape

Competition spans technology behemoths, well-funded pure-plays, and niche software specialists, producing a moderately fragmented structure. IBM leads in installed superconducting capacity and operates the world’s largest quantum-cloud network, charging subscription fees and offering co-development partnerships. Google focuses on algorithm performance and public benchmarks, while Microsoft concentrates on topological fault tolerance, aligning its roadmap with Azure stack synergies. 

Rigetti, IonQ, and Quantinuum pioneer differentiated hardware, superconducting, trapped-ion, and integrated photonics, respectively, aiming to leapfrog incumbents in error rates or gate connectivities. Patent filings exceeded 3,000 for IBM alone in 2024, signaling an escalating intellectual-property arms race. Vertical-software providers such as Zapata and QC Ware monetize algorithm toolkits and hybrid runtime environments, partnering with multiple hardware back ends. 

Strategic moves in 2024 illustrate maturing commercialization: IBM hit a 1,000-qubit milestone, Google secured a USD 300 million pharma alliance, Microsoft demonstrated Majorana qubits, and AWS broadened Braket’s hardware roster. Defense contracts to Rigetti and national-lab collaborations for Quantinuum underscore government’s dual role as funder and first customer. Collectively, these developments heighten the pace of innovation while leaving room for new entrants to target unserved niches such as quantum networking and error-mitigation software.

United States Quantum Computing Industry Leaders

  1. IBM Corporation

  2. Google LLC

  3. Microsoft Corporation

  4. Amazon Web Services, Inc.

  5. Rigetti and Co, LLC

  6. *Disclaimer: Major Players sorted in no particular order
United States Quantum Computing Market
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Recent Industry Developments

  • January 2025: IBM began beta access to its 1,121-qubit Condor system for select enterprise clients, marking the first commercialization phase of its quantum utility milestone.
  • October 2024: IBM revealed quantum utility results on optimization workloads using the Condor processor, demonstrating tangible speedups for enterprise partners.
  • September 2024: Google’s USD 300 million partnership with Roche advanced quantum-accelerated molecular simulation for oncology drug candidates.
  • August 2024: Microsoft achieved reliable manipulation of Majorana fermions, a critical step toward fault-tolerant topological qubits.

Table of Contents for United States Quantum Computing Industry Report

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Accelerated federal RandD funding through CHIPS and Science Act follow-on appropriations
    • 4.2.2 Rise of quantum-ready cloud developer ecosystems (AWS Braket, Azure Quantum, IBM Q)
    • 4.2.3 Strategic on-shoring of cryogenic and photonic supply chains for defense applications
    • 4.2.4 Corporate demand for post-quantum cryptography migration assessments
    • 4.2.5 Venture capital shift toward deep-tech hardware after AI valuation plateau
    • 4.2.6 State-level incentives (NY, CO, IL) to anchor quantum corridors and talent pipelines
  • 4.3 Market Restraints
    • 4.3.1 Scarcity of dilution-refrigerator manufacturing capacity inside the U.S.
    • 4.3.2 Limited availability of ultra-pure helium-3 and other specialty isotopes
    • 4.3.3 Shortage of mid-career quantum algorithm engineers versus PhD-level theorists
    • 4.3.4 Uncertain export-control regime for dual-use quantum hardware
  • 4.4 Impact of Macroeconomic Factors on the Market
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Porter’s Five Forces Analysis
    • 4.7.1 Threat of New Entrants
    • 4.7.2 Bargaining Power of Suppliers
    • 4.7.3 Bargaining Power of Buyers
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Intensity of Competitive Rivalry

5. MARKET SIZE AND GROWTH FORECASTS (VALUE)

  • 5.1 By Technology
    • 5.1.1 Quantum Annealing
    • 5.1.2 Superconducting Qubits
    • 5.1.3 Trapped-Ion Qubits
    • 5.1.4 Photonic Qubits
    • 5.1.5 Topological Qubits
    • 5.1.6 Other Technologies
  • 5.2 By Deployment Model
    • 5.2.1 On-Premises Quantum Computers
    • 5.2.2 Cloud-based Quantum-as-a-Service
    • 5.2.3 Hybrid (Classical + Quantum) Solutions
  • 5.3 By Application
    • 5.3.1 Drug Discovery and Molecular Simulation
    • 5.3.2 Financial Modeling and Portfolio Optimization
    • 5.3.3 Logistics, Routing and Supply-Chain Optimization
    • 5.3.4 Cryptography and Cyber-security
    • 5.3.5 Material Science and Metallurgy
    • 5.3.6 Machine Learning and AI Acceleration
    • 5.3.7 Other Applications
  • 5.4 By End-user Industry
    • 5.4.1 Healthcare and Life Sciences
    • 5.4.2 Banking, Financial Services and Insurance (BFSI)
    • 5.4.3 Automotive and Aerospace
    • 5.4.4 Chemicals and Materials
    • 5.4.5 Energy and Utilities
    • 5.4.6 Government and Defense
    • 5.4.7 Academia and Research Institutes
    • 5.4.8 IT and Telecommunications
    • 5.4.9 Other End-user Industries

6. COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
    • 6.4.1 IBM Corporation
    • 6.4.2 Google LLC
    • 6.4.3 Microsoft Corporation
    • 6.4.4 Amazon Web Services, Inc.
    • 6.4.5 Rigetti and Co, LLC
    • 6.4.6 IonQ, Inc.
    • 6.4.7 Quantinuum LLC
    • 6.4.8 D-Wave Quantum Inc.
    • 6.4.9 Intel Corporation
    • 6.4.10 Quantum Computing Inc.
    • 6.4.11 PsiQuantum Corp.
    • 6.4.12 Zapata Computing, Inc.
    • 6.4.13 Infleqtion, Inc. (ColdQuanta)
    • 6.4.14 Atom Computing, Inc.
    • 6.4.15 Quantum Circuits, Inc.
    • 6.4.16 HRL Laboratories, LLC
    • 6.4.17 Accenture plc
    • 6.4.18 Booz Allen Hamilton Inc.
    • 6.4.19 Northrop Grumman Systems Corporation
    • 6.4.20 Lockheed Martin Corporation
    • 6.4.21 BAE Systems, Inc.
    • 6.4.22 Keysight Technologies, Inc.

7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-Need Assessment
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United States Quantum Computing Market Report Scope

The United States Quantum Computing Market Report is Segmented by Technology (Quantum Annealing, Superconducting Qubits, Trapped-Ion Qubits, Photonic Qubits, Topological Qubits, Other Emerging Modalities), Deployment Model (On-Premises, Cloud-based Quantum-as-a-Service, Hybrid), Application (Drug Discovery, Financial Modeling, Logistics Optimization, Cryptography, Material Science, Machine Learning, Other Applications), End-user Industry (Healthcare, BFSI, Automotive, Chemicals, Energy, Government, Academia, IT, Other Industries), and Geography (Northeast, Midwest, South, West). The Market Forecasts are Provided in Terms of Value (USD).

By Technology
Quantum Annealing
Superconducting Qubits
Trapped-Ion Qubits
Photonic Qubits
Topological Qubits
Other Technologies
By Deployment Model
On-Premises Quantum Computers
Cloud-based Quantum-as-a-Service
Hybrid (Classical + Quantum) Solutions
By Application
Drug Discovery and Molecular Simulation
Financial Modeling and Portfolio Optimization
Logistics, Routing and Supply-Chain Optimization
Cryptography and Cyber-security
Material Science and Metallurgy
Machine Learning and AI Acceleration
Other Applications
By End-user Industry
Healthcare and Life Sciences
Banking, Financial Services and Insurance (BFSI)
Automotive and Aerospace
Chemicals and Materials
Energy and Utilities
Government and Defense
Academia and Research Institutes
IT and Telecommunications
Other End-user Industries
By TechnologyQuantum Annealing
Superconducting Qubits
Trapped-Ion Qubits
Photonic Qubits
Topological Qubits
Other Technologies
By Deployment ModelOn-Premises Quantum Computers
Cloud-based Quantum-as-a-Service
Hybrid (Classical + Quantum) Solutions
By ApplicationDrug Discovery and Molecular Simulation
Financial Modeling and Portfolio Optimization
Logistics, Routing and Supply-Chain Optimization
Cryptography and Cyber-security
Material Science and Metallurgy
Machine Learning and AI Acceleration
Other Applications
By End-user IndustryHealthcare and Life Sciences
Banking, Financial Services and Insurance (BFSI)
Automotive and Aerospace
Chemicals and Materials
Energy and Utilities
Government and Defense
Academia and Research Institutes
IT and Telecommunications
Other End-user Industries
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Key Questions Answered in the Report

How large is the United States quantum computing market in 2025?

It is valued at USD 630 million in 2025 and is forecast to grow to USD 1.7 billion by 2030.

Which technology currently leads commercial deployments?

Superconducting qubits command 47.83% of 2024 revenue, sustained by rapid qubit-count scaling.

What is the fastest-growing end-user segment?

Healthcare and life sciences are expanding at a 27.07% CAGR through 2030 due to quantum-enabled drug discovery.

Why are cloud services critical to adoption?

Cloud-based quantum-as-a-service models remove capex barriers, capturing 59.73% of 2024 deployment spending.

What supply-chain challenge most constrains hardware scale-up?

Limited domestic dilution-refrigerator capacity imposes 12-18-month lead times and inflates project costs.

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