Quantum Computing in Healthcare

Global Quantum Computing in Healthcare Market to Reach US$845.4 Million by 2030

The global market for Quantum Computing in Healthcare estimated at US$128.5 Million in the year 2024, is expected to reach US$845.4 Million by 2030, growing at a CAGR of 36.9% over the analysis period 2024-2030. Services, one of the segments analyzed in the report, is expected to record a 40.1% CAGR and reach US$452.4 Million by the end of the analysis period. Growth in the Software segment is estimated at 36.2% CAGR over the analysis period.

The U.S. Market is Estimated at US$36.2 Million While China is Forecast to Grow at 34.0% CAGR

The Quantum Computing in Healthcare market in the U.S. is estimated at US$36.2 Million in the year 2024. China, the world`s second largest economy, is forecast to reach a projected market size of US$116.7 Million by the year 2030 trailing a CAGR of 34.0% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 33.2% and 30.6% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 23.2% CAGR.

Global Quantum Computing in Healthcare Market – Key Trends & Drivers Summarized

Exploring Its Game-Changing Potential in Healthcare

Quantum computing is poised to revolutionize healthcare by unlocking levels of computational power far beyond what classical computers can achieve. At its core, quantum computing leverages the principles of superposition and entanglement to process complex datasets simultaneously—making it uniquely suited for the multifaceted and data-intensive challenges of modern medicine. The global healthcare sector is increasingly exploring quantum computing to address areas such as drug discovery, genomics, personalized medicine, disease modeling, and medical imaging. While still in the early stages of practical deployment, rapid advancements in quantum hardware and algorithms are propelling this market toward real-world applications that could transform clinical outcomes and operational efficiencies.

Key market trends include the emergence of hybrid quantum-classical systems designed to accelerate biomedical simulations and molecular modeling. These systems enable researchers to analyze vast molecular interactions and protein folding processes more efficiently than ever before, significantly cutting down the time required for drug development and clinical trials. Another notable trend is the increasing collaboration between quantum technology providers and pharmaceutical, biotech, and research institutions. These partnerships aim to co-develop quantum-based platforms for biomarker discovery, compound screening, and treatment optimization. As cloud-accessible quantum environments become more widespread, healthcare organizations of all sizes are gaining entry to this transformative capability without the need for specialized quantum infrastructure.

How Is Quantum Computing Reshaping Drug Discovery and Disease Modeling?

Drug discovery is one of the most promising frontiers for quantum computing in healthcare. Traditional computational models often struggle with simulating molecular interactions at the atomic level due to the sheer number of variables and combinations involved. Quantum computers, with their ability to process multiple possibilities simultaneously, offer a fundamentally new way to approach molecular simulation. This makes it feasible to predict the binding affinity between drugs and their target proteins with high accuracy, paving the way for the development of more effective therapies at a fraction of the time and cost. Quantum algorithms are also being explored for de novo drug design, where entirely new compounds can be generated and optimized based on desired biological properties.

Beyond drug development, quantum computing holds promise for more accurate disease modeling and predictive analytics. Complex diseases like cancer, Alzheimer’s, and autoimmune disorders involve numerous genetic, environmental, and behavioral factors. Quantum systems can process these interdependencies more holistically, allowing researchers to build highly detailed simulations of disease progression and response to treatment. In epidemiology and public health, quantum-powered models are being used to simulate outbreak scenarios and healthcare resource allocation strategies, improving preparedness for pandemics and large-scale health events. These capabilities could vastly enhance the healthcare sector’s ability to understand, prevent, and treat complex illnesses with unprecedented precision.

Where Is Quantum Computing Gaining Traction in Diagnostics and Personalization?

Quantum computing is also beginning to make its mark in the areas of diagnostics and personalized medicine, where the ability to process and interpret massive and heterogeneous datasets is crucial. Genomics, in particular, stands to benefit immensely. Analyzing the human genome involves examining billions of base pairs and identifying patterns that correlate with diseases, traits, or drug responses. Quantum algorithms can accelerate this analysis, enabling faster and more accurate identification of genetic mutations and biomarkers. This supports the development of tailored treatment plans based on a patient’s unique genetic makeup, improving outcomes and minimizing adverse reactions.

Medical imaging and diagnostics are also seeing early applications of quantum-enhanced machine learning. Quantum algorithms are being tested for improving image reconstruction and classification tasks in radiology, pathology, and cardiology. These systems can process and learn from large imaging datasets with greater speed and accuracy, potentially enabling earlier and more precise diagnoses. In clinical decision support systems, quantum computing is being explored to combine real-time patient data with historical clinical outcomes to recommend optimal treatment pathways. As healthcare providers seek to implement more data-driven and patient-centric care models, quantum-enabled tools are expected to play an increasingly strategic role.

What’s Fueling the Growth in the Quantum Computing in Healthcare Market?

The growth in the quantum computing in healthcare market is driven by several factors rooted in technological progress, rising healthcare data complexity, and increased investment in precision medicine. One of the primary drivers is the need for faster and more accurate drug discovery tools. The traditional R&D pipeline is costly and time-intensive, and quantum systems offer a path to streamline compound screening, molecular simulation, and clinical trial design. Secondly, the explosion of genomic and biomedical data—alongside advances in bioinformatics—has created a demand for high-powered computing platforms that can handle multilayered datasets with speed and granularity.

The increasing application of AI and machine learning in healthcare is also propelling demand for quantum-enhanced algorithms that can improve predictive accuracy and reduce training times for large models. Partnerships between quantum hardware developers and life sciences companies are accelerating innovation and bringing pilot projects into real-world testing. Moreover, the emergence of cloud-based quantum computing platforms is democratizing access to quantum tools, allowing research institutions, hospitals, and biotech firms to experiment without the capital-intensive burden of quantum infrastructure. Additionally, the growing focus on personalized medicine—driven by genomics, digital health records, and wearable technologies—is creating new use cases that require the multidimensional data processing power that only quantum computing can deliver. Collectively, these forces are not only driving adoption but positioning quantum computing as a foundational technology for the next era of advanced, data-driven healthcare.

SCOPE OF STUDY:

The report analyzes the Quantum Computing in Healthcare market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:
Component (Services, Software, Hardware); Technology (Superconducting Qubits, Trapped Ions, Quantum Annealing, Other Technologies); End-User (Pharma & Biopharma Companies, Laboratories & Research Institutes, Healthcare Providers, Healthcare Payers)

Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 23 Featured) -

• Classiq
• D-Wave Systems Inc.
• ID Quantique SA
• ProteinQure, Inc.
• Protiviti Inc.
• QC Ware Corp.
• Qnami AB
• Quantinuum
• Rigetti Computing
• Zapata Computing

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs CBob geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by artificially increasing the COGS, reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

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APRIL 2025: NEGOTIATION PHASE

Our April release addresses the impact of tariffs on the overall global market and presents market adjustments by geography. Our trajectories are based on historic data and evolving market impacting factors.

JULY 2025 FINAL TARIFF RESET

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