Quantum Computing in Healthcare Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component (Hardware, Software, Services), By Technology (Superconducting Qubits, Trapped Ions, Quantum Annealing, Others), By Application (Drug Discovery & Development, Medical Diagnostics, Genomics & Precision Medicine, Radiotherapy, Risk Analysis, Others), By Region & Competition, 2021-2031F

Forecast Period	2027-2031
Market Size (2025)	USD 138.94 Billion
CAGR (2026-2031)	42.71%
Fastest Growing Segment	Software
Largest Market	North America
Market Size (2031)	USD 1173.69 Billion

Market Overview

The Global Quantum Computing in Healthcare Market will grow from USD 138.94 Billion in 2025 to USD 1173.69 Billion by 2031 at a 42.71% CAGR. Quantum computing in healthcare is defined as the application of quantum mechanical principles, such as superposition and entanglement, to process complex biological and chemical data at speeds exponentially faster than classical supercomputers. The primary drivers propelling this market are the critical necessity to accelerate pharmaceutical drug discovery pipelines and the increasing demand for high-precision genomic analysis to support personalized medicine. These factors create a robust imperative for advanced simulation capabilities that can model molecular interactions with an accuracy that traditional computational methods cannot achieve, thereby substantially reducing research and development costs.

Despite this transformative potential, the market faces significant impediments related to technical maturity, specifically the challenge of maintaining qubit coherence and managing error rates in noisy environments. This hardware instability currently limits the scale of practical applications and necessitates a cautious approach to integration. According to the Pistoia Alliance, in 2025, approximately 18% of life sciences organizations reported expected utilization of quantum computing in their laboratories, a figure that underscores the experimental nature of the technology amidst these prevailing engineering hurdles.

Key Market Drivers

Accelerated drug discovery and molecular simulation constitute the most impactful driver for the Global Quantum Computing in Healthcare Market. Traditional computational methods struggle to model the complexity of molecular interactions with sufficient precision, creating a bottleneck in pharmaceutical R&D. Quantum algorithms address this by simulating chemical processes at the atomic level, significantly reducing the time and capital required to identify viable drug candidates. This transformative potential has catalyzed substantial resource allocation from major industry players. According to Novo Holdings, May 2024, in the 'Novo Holdings Commits DKK 1.4 Billion to Quantum Technology Start-Up Ecosystem' press release, the organization allocated EUR 188 million specifically to invest in and advance quantum technologies with direct applications in the life sciences sector.

Rising public and private investments serve as the second critical engine propelling market growth, providing the essential infrastructure for these experimental technologies to mature. Governments and private entities are establishing dedicated hubs to overcome hardware instability and scale practical use cases in diagnostics and treatment. For instance, according to the UK Government, July 2024, in the 'Government invests £100m in five quantum research hubs' announcement, £100 million was invested to establish new centers, including those dedicated to healthcare and medical sensing. This focused financial support is mirrored globally; according to Wellcome Leap, in December 2024, the organization’s Quantum for Bio program continued its momentum by advancing projects eligible for up to $40 million in research funding to demonstrate quantum advantage in human health applications.

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Key Market Challenges

The primary impediment hampering the Global Quantum Computing in Healthcare Market is the lack of technical maturity regarding hardware stability, specifically the difficulty in maintaining qubit coherence and managing high error rates. In the pharmaceutical and genomic sectors, where molecular simulations require absolute precision to ensure patient safety and drug efficacy, the current generation of "Noisy Intermediate-Scale Quantum" (NISQ) processors often fails to maintain the necessary state fidelity for complex calculations. This instability renders quantum systems unreliable for regulatory-grade data processing, forcing life sciences organizations to restrict their engagement to experimental pilot programs rather than integrating the technology into critical R&D workflows.

This challenge is compounded by a severe shortage of the specialized engineering talent required to solve these intricate physics problems and accelerate the development of fault-tolerant hardware. According to the Quantum Economic Development Consortium (QED-C), in 2025, the global quantum industry faced a critical workforce gap with more than 7,400 unfilled job openings in technical roles. This scarcity of skilled human capital directly slows the engineering breakthroughs needed to reduce error rates, thereby delaying the commercial viability of quantum solutions for healthcare applications and stifling overall market expansion.

Key Market Trends

Integration of Quantum Computing with Artificial Intelligence and Machine Learning is reshaping the market by overcoming the computational limits of classical AI in molecular simulation. This trend involves leveraging quantum-inspired algorithms and large quantitative models to generate precise training data for AI, enabling the modeling of complex biological systems with unprecedented accuracy. By combining physics-based quantum simulations with accelerated computing, researchers can simulate enzyme active sites and catalysts that were previously impossible to model. According to SandboxAQ, July 2024, in the 'SandboxAQ Helps Unlock the Next Generation of AI-Driven Chemistry' press release, the company’s collaboration with NVIDIA achieved an 80x speedup in quantum chemistry calculations compared to traditional CPU-based methods, a breakthrough that significantly shortens drug discovery timelines.

Adoption of Hybrid Quantum-Classical Computing Architectures is emerging as a critical strategy to bypass the limitations of current noisy intermediate-scale quantum (NISQ) hardware. In this model, pharmaceutical companies utilize quantum processors to solve specific, computationally intensive sub-problems—such as molecular folding—while offloading the remaining workloads to classical supercomputers. This approach allows organizations to derive immediate value from developing quantum systems without waiting for fully fault-tolerant machines. According to IBM, June 2024, in the 'Moderna and IBM Demonstrate Quantum-Classical Approach for mRNA Secondary Structure Prediction' announcement, their hybrid quantum-classical workflow successfully simulated mRNA secondary structures with lengths of up to 60 nucleotides using 80 qubits, a record-setting scale that demonstrates the growing utility of hybrid systems for complex therapeutic design.

Segmental Insights

The Software segment represents the fastest-growing category in the Global Quantum Computing in Healthcare Market due to the increasing demand for algorithms that facilitate drug discovery and genomic sequencing. Pharmaceutical organizations are prioritizing these solutions to model molecular interactions with greater precision than traditional methods allow. Furthermore, the development of cloud-based interfaces provides researchers with remote access to quantum processing power, removing the need for on-site infrastructure. This accessibility encourages widespread adoption among medical institutions seeking to optimize clinical trials and data analysis, driving the substantial growth of this market segment.

Regional Insights

North America secures a leading position in the Global Quantum Computing in Healthcare Market, driven by a robust ecosystem of technological innovation and strategic government support. The region benefits significantly from the United States' National Quantum Initiative Act, which facilitates substantial federal funding and coordinates research efforts across agencies like the Department of Energy. This legislative framework complements the presence of major industry players such as IBM and Google, who actively collaborate with pharmaceutical leaders to advance drug discovery and genomic analysis. Consequently, the convergence of favorable regulatory policies and established commercial infrastructure cements North America’s dominance in this evolving sector.

Recent Developments

• In July 2025, Moderna and IBM published a case study detailing the use of quantum-classical computing methods to predict the secondary structures of mRNA molecules. Building on their ongoing partnership, the researchers applied advanced risk-assessment techniques, such as Conditional Value at Risk, to optimize variational quantum algorithms. This approach allowed the team to accurately predict the folding patterns of mRNA sequences, which is a complex and essential step in designing stable and effective mRNA-based medicines. The study represented a significant milestone in establishing a quantum-enabled biotechnology pipeline intended to accelerate breakthroughs in drug discovery and therapeutic development.
• In June 2025, IonQ, in collaboration with AstraZeneca, NVIDIA, and Amazon Web Services, announced the results of a project that successfully accelerated a critical step in the drug development process. The partners developed a quantum-enhanced workflow to simulate the Suzuki-Miyaura coupling reaction, a chemical transformation widely used in the synthesis of small molecule drugs. By integrating quantum processing units with a hybrid quantum-classical platform, the team achieved a 20-fold improvement in the time-to-solution compared to previous methods. This development demonstrated how hybrid systems could streamline early-stage pharmaceutical research and reduce the computational bottlenecks often faced in computational chemistry.
• In January 2025, Boehringer Ingelheim and PsiQuantum announced a breakthrough in quantum chemistry calculations applicable to pharmaceutical drug design. The collaboration demonstrated a new computational approach using an active volume architecture that achieved a 234-fold speedup in calculating the electronic structure of Cytochrome P450, a crucial enzyme for drug metabolism. Additionally, the method delivered a 278-fold speedup for FeMoco, a complex enzyme system. These advancements, detailed in a research paper, highlighted the capability of future quantum computers to reduce computational complexity and accelerate the discovery of effective pharmaceuticals and sustainable agricultural products.
• In October 2024, researchers from Cleveland Clinic and IBM published findings in a Cell Press journal regarding the potential of quantum computing to enhance clinical trials. The international working group identified specific steps in the clinical trial process, such as patient selection and pretrial simulations, where quantum technology could offer significant advantages over classical methods. By utilizing quantum machine learning and quantum neural networks, the team proposed new ways to analyze complex patient data and predict the effects of treatments more efficiently. This research, part of the Discovery Accelerator partnership, aimed to address the lengthy and costly challenges associated with developing new medical treatments and drugs.

Key Market Players

• IBM Corporation
• Google LLC
• Microsoft Corporation
• Intel Corporation
• Honeywell International Inc.
• D-Wave Systems Inc.
• Amazon.com, Inc.
• IonQ, Inc.
• Rigetti Computing, Inc.
• Accenture plc

By Component	By Technology	By Application	By Region
Hardware Software Services	Superconducting Qubits Trapped Ions Quantum Annealing Others	Drug Discovery & Development Medical Diagnostics Genomics & Precision Medicine Radiotherapy Risk Analysis Others	North America Europe Asia Pacific South America Middle East & Africa

Report Scope:

In this report, the Global Quantum Computing in Healthcare Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

• Quantum Computing in Healthcare Market, By Component:

• Hardware
• Software
• Services

• Quantum Computing in Healthcare Market, By Technology:

• Superconducting Qubits
• Trapped Ions
• Quantum Annealing
• Others

• Quantum Computing in Healthcare Market, By Application:

• Drug Discovery & Development
• Medical Diagnostics
• Genomics & Precision Medicine
• Radiotherapy
• Risk Analysis
• Others

• Quantum Computing in Healthcare Market, By Region:

• North America
• United States
• Canada
• Mexico
• Europe
• France
• United Kingdom
• Italy
• Germany
• Spain
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• South America
• Brazil
• Argentina
• Colombia
• Middle East & Africa
• South Africa
• Saudi Arabia
• UAE