Quantum Computing In Healthcare Market Size, Share, Report 2025 to 2034

Quantum Computing in Healthcare Market Size and Growth 2025 to 2034

The global quantum computing in healthcare market size was valued at USD 87.65 billion in 2024 and is expected to be worth around USD 2,702.04 billion by 2034, growing at a compound annual growth rate (CAGR) of 40.89% from 2025 to 2034. The U.S. quantum computing in healthcare market size was estimated at USD 40.10 billion in 2024.

The quantum computing in healthcare market is experiencing rapid growth due to increasing investments in research and development. Major pharmaceutical and tech companies are collaborating to integrate quantum computing for faster drug discovery and personalized treatments. Governments and private organizations are also funding quantum initiatives, boosting market expansion. With advancements in quantum algorithms, the adoption of quantum computing in healthcare is expected to rise significantly. The demand for precision medicine, complex disease modeling, and real-time diagnostics is driving growth. Companies are actively working on commercializing quantum solutions for practical healthcare applications. As the technology matures, the market will witness significant breakthroughs, making healthcare more efficient and innovative.

The healthcare sector faces complex challenges that require innovative solutions to improve diagnostic accuracy, treatment efficacy, and data management. Quantum computing, with its unique capabilities, has the potential to revolutionize various aspects of healthcare. The capacity of quantum computing to process massive, complicated data sets more effectively than traditional computers has the potential to have a substantial influence on fields such as genetics, medical imaging, and customized medicine. Quantum algorithms can accelerate the identification of genetic markers associated with diseases, facilitate the analysis of medical images, and optimize treatment plans based on individual genetic profiles. Furthermore, quantum cryptography provides a strong security solution for sensitive patient data, which is crucial as healthcare depends more on digital platforms.

Current examples of cutting-edge technology utilized in healthcare companies include e-health records, accessible MRI and CT scanners, and sophisticated bioinformatics tools for genomes. These advancements nevertheless face several challenges, including handling large amounts of data and the need for precise analysis and quick processing. EHR systems, for example, frequently face interoperability challenges that impede efficient patient data exchange across various healthcare platforms. By using quantum algorithms, doctors could tailor treatments to each patient's unique genetic profile, improving treatment outcomes and reducing side effects. Additionally, the development of new diagnostic techniques diagnostics and therapeutics tools could be facilitated by quantum computing, improving the accuracy of medical conditions.

What is a Quantum Computing In Healthcare?

Quantum computing is a revolutionary technology that uses quantum mechanics to process data faster than traditional computers. In healthcare, quantum computing helps solve complex medical problems, such as drug discovery, disease diagnosis, and treatment optimization. It can analyze vast amounts of patient data, enabling faster and more accurate diagnoses. For example, quantum algorithms can simulate molecular interactions to develop new medicines more efficiently, reducing the time and cost of drug trials. Additionally, quantum computing enhances personalized medicine by analyzing genetic data to predict disease risks and recommend tailored treatments. It also improves medical imaging by enhancing image resolution and speed in MRI scans. Moreover, quantum technology helps in supply chain management for pharmaceuticals, ensuring better drug distribution and availability. While quantum computing is still in its early stages, it has the potential to revolutionize healthcare by making treatments faster, more effective, and cost-efficient.

Key insights beneficial to the quantum computing in healthcare market:

• Faster Drug Discovery: Quantum simulations can reduce drug development time by 50%.
• Personalized Medicine: Quantum computing can analyze patient genomes 100 times faster than traditional methods.
• Medical Imaging: Quantum-enhanced MRI scans improve accuracy by 30%.
• Investment Growth: Global investments in quantum healthcare startups increased by 70% in the past five years.
• Adoption Rate: 60% of major pharmaceutical companies are exploring quantum computing applications.

CEO Statements

Tomislav Mihaljevic, CEO of Cleveland Clinic

• " Quantum computing is very advanced. It is really still a research computational tool. This technology holds tremendous promise in revolutionizing healthcare and expediting progress toward new care, cures, and solutions for patients. Quantum and other advanced computing technologies will help researchers tackle historic scientific bottlenecks and potentially find new treatments for patients with diseases like cancer, Alzheimer's, and diabetes."

Steve Brierley, Founder and CEO of Riverlane

• " Quantum error correction is what makes quantum computers vastly more powerful, the best quantum computers in the world can perform on the order of 100 to 1,000 operations before errors overwhelm the computer."

Report Highlights

• The North America region has accounted highest revenue share of 61% in 2024.
• The Europe has generated revenue share of 19% in 2024.
• By type, superconducting qubits segment has recorded revenue share of 41% in 2024.
• By service, the services segment has held revenue share of 45.10% in 2024.

Quantum Computing in Healthcare Market Growth Factors

• Enhancement of safeguarding information and confidentiality: Quantum computing within the healthcare industry can dramatically revolutionize the administration and confidentiality of private and secret medical data. Furthermore, quantum data encryption offers a greater degree of protection based on quantum mechanics principles rather than traditional mathematical procedures, potentially making it immune to all attacks. The rise in telemedicine, particularly during global health crises like the COVID-19 pandemic, has necessitated robust security protocols for remote medical services. Quantum cryptography can be important in safeguarding data shared during telemedicine sessions, which frequently include sensitive health information and personal data.
• Big Data Analytics in Healthcare: Given the enormous amount of data generated by the healthcare sector, particularly from DNA sequencing and EHRs, data management and analytics demonstrate formidable challenges. Quantum computers offer ground-breaking approaches for predictive analytics in the public health sector because they are organically great at managing vast quantities of data. Healthcare companies can achieve a balance of efficiency and practicality by supplementing traditional computer systems with quantum processors for specialized activities. This hybrid strategy enables the progressive incorporation of quantum capabilities into healthcare analytics, improving rather than replacing current infrastructures.
• Growing Demand from Biotech and Pharmaceutical Companies: Pharmaceutical and biopharma industry representatives are constantly under pressure to bring new drugs and treatments to market. Since these computers can easily simulate and study complex interactions, they accelerate drug development by reducing the time and cost of preclinical research and identifying promising treatments. They can improve molecular interactions, enrich the effectiveness of clinical research, and significantly accelerate the discovery of potential treatments.

Quantum Computing in Healthcare Market Trends

• Transforming drug discovery: Quantum computing may speed up drug discovery by replicating large molecules and compounds way faster than desktop and laptop computers, supposed to lead to the development of new and innovative medications more instantaneously. Quantum computing improves drug design precision by predicting drug-target interactions, making treatments safer and more efficient. Additionally, generative quantum AI techniques can help treat diseases that were previously incurable by identifying previously unidentified drug targets. Quantum computing also predicts clinical trial results and optimizes drug molecule design, which raises the chances of successful drug development.
• Increasing demand for personalized medicine: Personalized medicine is a revolutionary approach in the field of medicine that aims to customize treatments based on a person's genetic makeup and unique characteristics. Researchers can use quantum computers to examine large genomic information, uncover genetic variants linked to illnesses, and develop individualized treatment regimens. Quantum simulations enable medical professionals to accurately predict outcomes of treatment and probable adverse effects, resulting in safer and more efficient remedies.
• Utilization in healthcare research: By offering innovative answers to challenging issues that traditional computers are unable to rectify, quantum computing will reinvent healthcare research. This sector might tremendously accelerate scientific study on anything from mechanisms of illness to improvements in health monitoring systems. Quantum computing can improve clinical trial design and analysis. By simulating patient populations and potential outcomes, researchers can optimize trial designs to make them more effective and efficient. This involves predicting which patient groups would benefit from a certain medication, increasing the accuracy of clinical studies, and cutting expenses. Quantum computing can enhance disease monitoring and control methods in public health. Large-scale processing of epidemiological data by quantum algorithms allows for the prediction of outbreaks and the identification of patterns, leading to more successful public health initiatives.
• Growing use of cloud-based solutions: The need for cloud computing solutions and services is likely to increase as more powerful systems are developed. Cloud-based quantum computing platforms provide scalability to meet the varying computing power requirements of healthcare applications. Healthcare organisations may scale up and down their quantum resources as needed to perform complex simulations, data processing, and analytics. It is highly anticipated that Google will introduce a more advanced cloud storage facility in future years, and the company is making investments in and exploring quantum technologies.

Report Scope

Quantum Computing in Healthcare Market Dynamics

Drivers

Increased Government Support and Incentives

• The immense expenditures made by several governments and commercial companies boost the market for quantum computing in healthcare. Numerous government achievements have been made in supporting quantum information processing in healthcare. Hence, the increasing investments in quantum computing in emerging economies and the growing propensity of market payers toward quantum computing drive the market.

Growing Availability of High-Speed Networks for Data Processing

• Connecting smart medical objects has never been more important because of the fifth-generation (5G) connection. It has an exceptionally high capacity, low latency, increased bandwidth, and strong integrity. To function, IoT devices send data to edge/cloud infrastructure for processing. From the user's point of view, cloud storage has security problems, which creates new hurdles for the accessibility, consistency, and confidentiality of data. In order to offer new services, quantum computing can profit from 5G and 6G networks. Quantum walks provide an all-encompassing processing model and built-in cryptography capabilities to provide efficient alternatives for the healthcare sector. Hence, the greater accessibility of fast internet connections is propelling the development of the market.

Restraints

Technical Limitations

• One of the biggest technical challenges in using quantum computing in healthcare is the nascent state of quantum hardware. Quantum computers require extremely sensitive conditions to operate, such as extremely low temperatures and environments that are almost completely free of magnetic and electrical interference. These requirements make quantum computers both expensive and complex to maintain.

Strict Regulatory Framework

• Ensuring compliance with data protection standards such as GDPR in Europe and HIPAA in the US will be critical as healthcare systems begin to integrate more advanced quantum computing solutions. The goal of the European Quantum Flagship Program is to create standards for the ethical application of quantum technology in healthcare. As part of the National Quantum Initiative Act in the United States, a sub - committee on quantum information science was formed.

Opportunities

Development of Hybrid Systems

• Hybrid systems combine aspects of conventional and quantum computing. By employing quantum computers for jobs requiring intricate computations and huge parallel programming, this mechanism impact the value of both strategies. In addition to increasing capacity, this strategic approach represents a viable way to integrate quantum computers into existing IT systems without major updates. Quantum machine learning, or QML, can be used to improve diagnostic imaging techniques. These algorithms are highly effective at detecting patterns that can identify small details in complex medical images that more conventional algorithms would miss. It deploys visual data to increase diagnostic accuracy and with biological applications including early diagnosis and automated diagnostic procedures.

Growing Collaborations Across Several Disciplines

• The challenges posed by the interaction of quantum technology and the medical field may be addressed by a collective team of software engineers, computational biologists, medical specialists, and quantum physicists. In order to deliver more effective solutions, working together might promote innovative abilities scientific and academic discover insights from methods with numerous quantum mechanical notions. Developing good uses of quantum computing involves collaboration across several academic institutions and the healthcare sector at large. These collaborations can speed up research and development by making it easier to share resources, technology, and information. Quantum computing can be utilised in collaborative worldwide efforts to increase global disease preventive methods, manage outbreaks, and improve public health surveillance. Nations can adequately position for and organize health emergencies by pooling resources and knowledge in quantum computing. These collaborations are expected to accelerate the development of practical quantum solutions to healthcare challenges and potentially lead to breakthroughs in drug discovery and personalized medicine.

Challenges

Growing Ethical Concerns

• Quantum computing focuses on the ethical real problems in the healthcare industry, particularly with regard to client confidentiality and the security of complex medical data. Concerns over the exploitation of patient data are raised by the possibility that existing algorithms for encryption could potentially be broken by the enormous influence of quantum computers. Furthermore, the speed at which quantum computers can analyse vast volumes of data raises concerns about confidentiality and properly informed permission, two topics that are already contentious in the big data and customized healthcare fields.

Susceptibility to Errors

• The current generation of quantum computers, often referred to as noisy intermediate-scale quantum (NISQ) devices, are prone to high error rates due to quantum decoherence and quantum noise. Quantum bits, or qubits, are highly prone to errors even with minimal environmental interactions. Quantum error correction is an important area of research, but it requires a significant number of additional qubits to correct the errors of a single qubit, making it difficult to scale up quantum systems. Effective error correction systems are required to conduct complicated computations consistently, particularly in applications requiring high precision, such as drug development and genetic data processing.

Quantum Computing in Healthcare Market Segmental Analysis

The quantum computing in healthcare market is segmented into quantum computer type, application and region. Based on quantum computer type, the market is classified into quantum annealer, analog quantum, universal quantum, and superconducting qubits. Based on application, the market is classified into radiotherapy, drug discovery and interactions, healthcare information, genomics, and imaging solutions. Based on end user, the market is classified into pharmaceutical and biopharmaceutical companies, labs and research institutes, healthcare providers, and healthcare payers. Based on deployment, the market is classified into on premises, and cloud based.

Quantum Computer Type Analysis

Superconducting Qubits: The superconducting qubits segment has dominated the market in 2024. Superconducting circuits are often used to apply superconducting circuits to implement superconducting qubits based on superconductivity theory. These qubits can have long consistency periods and handle stimulating quantum complications. Some of the most advanced and commercially available quantum computers today use superconducting qubits.

Quantum Annealer: This type of quantum computer is the least powerful and most limiting. It is the easiest to construct but can only perform a single function. Moreover, the scientific consensus of the community indicates that it offers no advantage over conventional computers.

Analog Quantum: The analog quantum computer allows modeling of complicated quantum interactions between any combination of conventional electronics. It can also contain between 50 and 100 qubits. In addition, it is faster than conventional systems and has a higher computational capacity.

Universal Quantum: This quantum computer is the most efficient, versatile and difficult to construct. It also has several technological obstacles. In addition, according to current estimates, this machine will contain more than one hundred thousand physical qubits.

By Application

Radiotherapy: Radiotherapy is a widely used cancer treatment. Moreover, radiation can eliminate malignant cells or prevent them from multiplying. Moreover, it is important to develop a radiation strategy to minimize damage to healthy tissues and organs. It also deals with optimization challenges that involve hundreds of variables. Hence, many simulations are required to get an ideal radiation strategy. Consequently, quantum computing considers a wide range of possibilities between each simulation. Hence, it allows healthcare professionals to run many simulations while developing the ideal approach.

Drug discovery and interactions: The most important and crucial aspect of drug discovery and development is the comparison of molecules. Quantum computing can facilitate the comparison of more giant molecules. Hence, it will pave the way for more pharmacological innovations and cures for various diseases. Quantum computing also enables healthcare providers to simulate complex molecular interactions at the atomic level. Hence, it plays a significant role in medical research and drug development. Consequently, specialists will be able to simulate all 20,000 human DNA proteins. It will also begin to simulate interactions with models of new and current drugs.

Health information: Patients want security and protection for their medical and health information, so it is important to study and evaluate all hacking approaches. ID Quantique, for example, is a company that uses quantum physics to protect data. Quantum cryptography preserves the data, making quantum entanglement one of its most practical applications.

Genomics: Genomics is the study of the basic genetic components of an organism. It therefore includes recombinant DNA, DNA sequencing techniques, and bioinformatics. In addition, it requires the sequencing, assembly, and analysis of genomic structures and functions. Due to its increased processing power and storage capacity, quantum computing is the optimal way forward. In addition, the results will be more precise, allowing for more accurate diagnoses and tailored treatments. Furthermore, specialists can create a genomic database to find unidentified biomarkers and mutations. It will also transform therapy by taking environmental and lifestyle variables into account.

Imaging solutions: Quantum imaging technologies help in creating accurate images that allow observation of individual molecules. Moreover, machine learning and quantum computing help in interpreting findings by doctors and other experts. Quantum informatics enables interpretation of the data and remediation of the same. Moreover, quantum imaging technologies also help in providing more accurate images by facilitating tissue classification.

Quantum Computing in Healthcare Market Regional Analysis

The quantum computing in healthcare market is segmented into various regions, including North America, Europe, Asia-Pacific, and LAMEA. The North America has dominated the market in 2024 and accounted highest revenue share.

Why is North America hit dominant position in quantum computing in healthcare market?

The North America quantum computing in healthcare market size was valued at USD 53.47 billion in 2024 and is expected to be worth around USD 1,648.24 billion by 2034. Due to increased investment & government assistance in this sector, as well as the growing number of quantum computing companies catering to the healthcare business in the area, North America has a sizable portion of the healthcare quantum computing market. Geographically, various companies and academic institutions in the North American region are focusing on healthcare applications of quantum computing. Strong technological advancements and collaborations between universities and industries are driving the region forward.

Europe Quantum computing in Healthcare Market Trends

The Europe quantum computing in healthcare market size was estimated at USD 16.65 billion in 2024 and is projected to surpass around USD 513.39 billion by 2034. The QuTech Institute in the Netherlands and the Quantum Flagship initiative are just two of the established hubs and centers of excellence for quantum research in Europe. These institutions have promoted research into quantum cures for health problems and strengthened collaboration between healthcare professionals, technology companies and quantum researchers. In addition, the UK market grew the fastest in the European region, while the German healthcare industry had the largest market share.

Why is Asia-Pacific witnessing strong growth in the quantum computing in healthcare market?

The Asia-Pacific quantum computing in healthcare market size was accounted for USD 14.02 billion in 2024 and is predicted to hit around USD 432.33 billion by 2034. In Asia Pacific, quantum hubs are forming in countries such as China, Australia, and Japan. These facilities are making significant investments in advancing quantum technology, including applications in medicine. In this field, quantum innovation is being driven by partnerships between academic institutions, entrepreneurs, and healthcare organizations. In addition, China's quantum computing in healthcare market had the largest market share, and India's quantum computing in healthcare market was the fastest-growing market in Asia Pacific.

LAMEA Quantum Computing in Healthcare Market Trends

The LAMEA quantum computing in healthcare market was valued at USD 3.51 billion in 2024 and is anticipated to reach around USD 108.08 billion by 2034. Quantum computing is poised to revolutionize industries by solving complex healthcare challenges. The market in Latin America has seen significant growth in recent years, driven by a mix of public and private initiatives that position the country as a key player in the quantum technology race. Kipu Quantum and QCentroid have formed a strategic partnership to advance quantum computing projects in Bizkaia, Spain, Latin America and beyond, with a focus on industry-specific applications in healthcare. In the Middle East, Saudi Arabia, the United Arab Emirates and Qatar are working to create ecosystems for quantum startups. Local governments are seeking to position themselves as a technology hub for the region by promoting startup activities to encourage local innovation in industry verticals. In addition, quantum computing, an emerging technology that processes complex data at unprecedented speeds, promises enormous potential to revolutionize healthcare in Africa.

Quantum Computing in Healthcare Market Top Companies

• Atos SE
• IonQ Inc.
• Classiq Technologies, Inc.
• Xanadu Quantum Technologies Inc.
• Pasqal
• Fujitsu
• Intel Corporation
• Sandbox AQ
• IBM
• Google, Inc.
• Rigetti & Co, LLC.
• Quandela
• D-Wave Quantum Inc.
• Quantinuum, Ltd.
• Accenture plc
• Quintessence Labs
• Qnami
• SEEQC
• Protiviti Inc.
• ID Quantiques

Market players are also taking a number of strategic actions to expand their global presence. The major market developments include new product launches, contractual agreements, mergers and acquisitions, increased investments, and collaborations with other organizations. To expand and survive in a more competitive and emerging market environment, the healthcare quantum computing industry needs to offer cost-effective products. In recent years, the healthcare quantum computing industry has brought some of the most significant benefits to the medical field. Major players in the healthcare quantum computing market including IBM Corporation, Microsoft Corporation, Google LLC, D-Wave Systems, IonQInc, Rigetti Computing, Fujitsu Ltd, Intel Corporation, Honeywell International Inc, and AT&T Inc. and others are trying to increase the market demand by investing in research and development activities.

Recent Developments

• In September 2024, Infineon Technologies AG introduced the XENSIV PAS CO2 5V sensor. It is intended to increase building energy efficiency by managing ventilation according to actual occupancy. This sensor uses photoacoustic spectroscopy (PAS) technology and is intended to minimize carbon emissions from HVAC systems.
• Texas Instruments (TI) officially launched the first gallium nitride (GaN) integrated power module (IPM) in June 2024. The goal was to develop simpler and more efficient high-voltage motors. This technology focuses on improving efficiency in applications such as industrial automation and electric vehicles by simplifying and minimizing mechanisms.
• In February 2024, Murata, a renowned manufacturer of passive components, increased the range of high-quality monolithic ceramic chip capacitors (MLCC) in their inventory. With a 100V voltage rating, the GJM022 series extends the smallest high-Q capacitor in the world and is designed for a high-frequency module applications like those in cellular infrastructure.
• In January 2024, a distribution agreement was announced between Panasonic Industrial Automation and Mouser Electronics, Inc., the authorized worldwide distributor of the latest electrical components and industrial automation solutions. Panasonic Industrial Automation offers a range of technologically advanced sensors, programmable controllers, human-machine interfaces, servo motors and drives.

Market Segmentation

By Service

• Hardware
• Software
• Services

By Quantum Computer Type

• Quantum Annealer
• Analog Quantum
• Universal Quantum
• Superconducting Qubits

By Application 

• Radiotherapy
• Drug Discovery and Interactions
• Healthcare Information
• Genomics
• Imaging Solutions

By End User

• Pharmaceutical and Biopharmaceutical Companies
• Labs and Research Institutes
• Healthcare Providers
• Healthcare Payers

By Deployment

• On premises
• Cloud Based

By Region

• North America
• Europe
• APAC
• LAMEA