Global Quantum Computing in Healthcare Market By Component (Hardware, Software and Services), By Technology (Superconducting Qubits, Trapped Ions, Quantum Annealing, Quantum Machine Learning and Others), By Application (Drug Discovery and Development, Genomics and Precision Medicine, Medical Diagnostics, Radiotherapy, Risk Analysis, Cybersecurity & Data Encryption, Healthcare Logistics & Scheduling and Others), By End User (Pharmaceutical and Biopharmaceutical Companies, Labs and Research Institutes, Healthcare Payers, Healthcare Providers, and Other end user), Region and Companies – Industry Segment Outlook, Market Assessment, Competition Scenario, Trends and Forecast 2025-2034

Report Overview

Global Quantum Computing in Healthcare Market size is expected to be worth around US$ 5,235.9 Million by 2034 from US$ 201.6 Million in 2024, growing at a CAGR of 38.5% during the forecast period 2025 to 2034. In 2024, North America led the market, achieving over 39.6% share with a revenue of US$ 79.83 Million.

Quantum computing leverages the principles of quantum mechanics to address complex problems that traditional computers, including the most advanced supercomputers, cannot solve, as stated by IBM. This technology can process multiple variables interacting in intricate ways. In healthcare, it holds the promise to enhance precision medicine, drug development, and diagnostic processes through advanced analyses. In early 2020, Cleveland Clinic and IBM introduced the world’s first quantum computer dedicated to healthcare research, located at Cleveland Clinic’s main campus. The aim of this collaboration is to expedite biomedical discoveries.

Quantum computing in healthcare is an emerging field that holds immense potential to revolutionize medical research, diagnostics, and treatment. Traditional computational methods often struggle with the massive datasets and complex simulations required for drug discovery, genomics, and personalized medicine. Quantum computing, with its ability to process large-scale computations and simulate molecular structures at unprecedented speeds, offers a solution to these challenges.

For example, IBM’s Quantum platform is helping pharmaceutical companies like Moderna accelerate vaccine development by simulating molecular interactions more efficiently than classical computers. Similarly, Google’s Quantum AI is exploring how quantum algorithms can enhance protein folding simulations, critical for understanding diseases like Alzheimer’s.

Quantum computing also aids in personalized medicine by analyzing genetic data to develop tailored treatment plans. By processing vast genetic datasets, quantum systems can identify individual genetic variations that impact drug efficacy, enabling more precise and effective therapies.

Key Takeaways

• In 2024, the market for Quantum Computing in Healthcare generated a revenue of US$ 201.6 Million, with a CAGR of 38.5%, and is expected to reach US$ 5,235.9 Million by the year 2034.
• The Component segment is divided into Hardware, Software, and Services with Software taking the lead in 2024 with a market share of 39.7%.
• By Technology, the market is bifurcated into Superconducting Qubits, Trapped Ions, Quantum Annealing, Quantum Machine Learning, and Others, with Superconducting Qubits leading the market with 44.4% of market share in 2024.
• Considering the Application segment, the market is bifurcated into Drug Discovery and Development, Genomics and Precision Medicine, Medical Diagnostics, Radiotherapy, Risk Analysis, Cybersecurity & Data Encryption, Healthcare Logistics & Scheduling, and Others, with Drug Discovery and Development taking the lead in 2024 with 32.3% market share.
• By End User, the market is classified into Oncology, Neurology, Cardiology, Rare Diseases, Reproductive Health, and Others with Oncology taking the lead in 2024 with 30.5% market share.
• With respect to End User segment, the market is bifurcated into Pharmaceutical and Biopharmaceutical Companies, Labs and Research Institutes, Healthcare Payers, Healthcare Providers, and Other end user, with Pharmaceutical and Biopharmaceutical Companies dominating the market with 30.5% market share.
• North America led the market by securing a market share of 39.6% in 2024.

Product Analysis

The Software segment dominated the Quantum Computing in Healthcare market accounting for 39.7% market share in 2024, driven by its critical role in leveraging quantum hardware to solve complex healthcare challenges. Quantum software includes algorithms, quantum computing platforms, and applications specifically designed to process and analyze vast amounts of healthcare data. This segment is crucial for drug discovery, genomics, medical diagnostics, and personalized medicine, where computational power is essential to process intricate datasets.

For example, IBM’s Qiskit, a quantum computing software framework, enables researchers to run quantum algorithms on quantum hardware, advancing drug discovery and optimizing healthcare processes. Additionally, companies like Google and Microsoft are developing quantum software solutions that integrate with AI and machine learning, accelerating breakthroughs in areas like disease diagnosis and treatment planning.

In May 2025, QuEra Computing, a leader in neutral-atom quantum computing, announced that two of its collaborative research projects have advanced to the third and final phase of Wellcome Leap’s Quantum for Bio Challenge. With two out of the six final projects in this prestigious program stemming from QuEra-powered research, the company continues to establish itself as a key quantum partner driving breakthroughs in complex scientific areas, including healthcare and biology.

Technology Analysis

Superconducting Qubits segment dominated the Quantum Computing in Healthcare market accounting for 44.4% market share, primarily due to its scalability, performance, and ability to perform complex computations. Superconducting qubits are favored by major companies like IBM, Google, and Rigetti for building large-scale quantum processors. These qubits are based on superconducting circuits that can maintain quantum coherence, enabling faster and more reliable computations for tasks such as drug discovery, protein folding simulations, and personalized medicine.

In April 2025, Fujitsu Limited and RIKEN announced the development of a world-leading 256-qubit superconducting quantum computer, established at the RIKEN RQC-FUJITSU Collaboration Center. This new quantum computer builds upon the 64-qubit version launched in October 2023 with support from the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT) and incorporates newly developed high-density implementation techniques. This milestone marks another significant step toward the practical application of superconducting quantum computers and their potential to address some of the world’s most complex challenges.

For example, IBM’s quantum computers use superconducting qubits to run quantum algorithms for healthcare applications, such as simulating molecular interactions, which is crucial in drug development. Google’s Sycamore processor, based on superconducting qubits, achieved quantum supremacy by performing a complex calculation faster than a classical computer could.

Application Analysis

Drug Discovery and Development application segment dominated the Quantum Computing in Healthcare market with 32.3% market share due to its transformative potential in accelerating the process of identifying and developing new drugs. Quantum computing can efficiently simulate molecular interactions at an atomic level, enabling researchers to quickly test millions of compounds for potential effectiveness, drastically reducing the time and cost of drug discovery.

For example, IBM’s collaboration with pharmaceutical companies like Merck and Moderna demonstrates how quantum algorithms can be used to simulate complex molecular structures, helping to identify promising drug candidates faster than traditional methods. Quantum computing can also assist in predicting how drugs interact with proteins, an essential aspect of designing effective treatments.

Additionally, quantum computing offers advancements in personalized medicine, where drug efficacy can be predicted based on an individual’s unique genetic makeup. By processing vast datasets, quantum systems can help researchers and clinicians identify the best drug candidates for specific patient profiles.

End User Analysis

Pharmaceutical and Biopharmaceutical Companies segment dominates the Quantum Computing in Healthcare market with 30.5% market share, driven by their need to accelerate drug discovery, optimize clinical trials, and enhance research capabilities. These companies are at the forefront of adopting quantum computing to handle complex biological data, simulate molecular interactions, and improve the drug development process.

For instance, companies like IBM have partnered with major pharmaceutical firms such as Merck and Pfizer to explore quantum algorithms for drug discovery, using quantum computing to simulate protein folding and identify potential drug candidates faster than traditional methods. Quantum computing can also streamline the process of optimizing drug formulations, predicting how drugs interact with patients at a molecular level.

Biopharmaceutical companies, in particular, are investing heavily in quantum computing to address challenges in personalized medicine, where treatments are tailored to an individual’s genetic profile. The ability to analyze vast amounts of genomic data quickly can help these companies develop targeted therapies with higher success rates.

Key Market Segments

By Component

• Hardware
• Software
• Services

By Technology

• Superconducting Qubits
• Trapped Ions
• Quantum Annealing
• Quantum Machine Learning
• Others

By Application

• Drug Discovery and Development
• Genomics and Precision Medicine
• Medical Diagnostics
• Radiotherapy
• Risk Analysis
• Cybersecurity & Data Encryption
• Healthcare Logistics & Scheduling
• Others

By End User

• Pharmaceutical and Biopharmaceutical Companies
• Labs and Research Institutes
• Healthcare Payers
• Healthcare Providers
• Other end user

Drivers

Increasing Application in Drug Discovery

Quantum computing significantly impacts drug discovery by enabling faster and more accurate simulations of molecular behavior. Traditional drug discovery methods often rely on time-consuming trial-and-error processes and molecular simulations, which can take years to identify viable candidates. Quantum computers can handle vast amounts of data, performing complex simulations much quicker than classical computers.

For instance, quantum algorithms can simulate how molecules interact with proteins, identifying potential drug candidates far more efficiently. This speed could shorten the drug development timeline, reducing costs associated with research and increasing the chances of finding effective treatments.

Companies like IBM have already begun leveraging quantum computing for drug discovery, and their collaboration with pharmaceutical companies is helping push the industry forward. Furthermore, quantum computing can aid in finding rare compounds for niche diseases, enhancing precision medicine.  In June 2025, IBM has introduced its roadmap to develop the world’s first large-scale, fault-tolerant quantum computer, paving the way for practical and scalable quantum computing.

Scheduled for delivery by 2029, IBM Quantum Starling will be constructed at a new IBM Quantum Data Center in Poughkeepsie, New York, and is expected to perform 20,000 times more operations than current quantum computers. The computational state of an IBM Starling would require the memory of more than a quindecillion (10^48) of the world’s most powerful supercomputers.

Restraints

High Costs and Technical Barriers

Despite the potential of quantum computing in healthcare, the high costs and technical complexities remain significant barriers to its widespread adoption. Building and maintaining quantum hardware requires highly specialized equipment, including cryogenic systems to keep qubits stable, and this is extremely expensive. The cost of quantum computers can range from several million to tens of millions of dollars, which makes it difficult for smaller healthcare organizations or startups to invest in these technologies.

Moreover, the field is still in its early stages, and qubit instability remains a challenge. Quantum computers are prone to errors due to quantum decoherence, which means that maintaining the reliability of calculations is an ongoing issue. For example, while companies like IBM and Google have made strides in improving quantum systems, there are still challenges with scaling the systems and maintaining error-free computations. These technical limitations create delays in implementing quantum computing for healthcare applications such as drug discovery, diagnostics, and personalized medicine.

Opportunities

Advancing in Personalized Medicine

Quantum computing holds great potential in advancing personalized medicine, a healthcare model that tailors treatments based on individual genetic makeup, lifestyle, and environmental factors. Quantum computers can process large volumes of complex genetic and clinical data at an unprecedented speed, uncovering patterns that traditional computing struggles to detect. For instance, quantum algorithms can analyze genetic data to identify unique genetic mutations that influence disease susceptibility or drug responses. This enables healthcare providers to offer treatments that are more effective and have fewer side effects.

Personalized medicine is gaining traction, with companies like Google DeepMind using AI-powered quantum computing to analyze genomic data for cancer research. In March 2025, D-Wave Quantum Inc., a leader in quantum computing systems, software, and services, and the pharmaceutical division of Japan Tobacco Inc. (“JT”) announced the successful completion of a joint proof-of-concept project that integrated quantum computing technology and artificial intelligence (AI) into the drug discovery process.

By enhancing large language models (LLMs) with a quantum-hybrid workflow, JT and D-Wave significantly boosted their generative capabilities, enabling JT to create novel, more ‘drug-like’ molecular structures beyond those present in the training datasets of the quantum-hybrid generative AI system.

Impact of Macroeconomic / Geopolitical Factors

Macroeconomic and geopolitical factors significantly influence the quantum computing market in healthcare, shaping its development and adoption. Economic downturns or instability can impact research funding, as healthcare and technology industries may reallocate resources to more immediate priorities. Conversely, periods of economic growth can boost investments in quantum computing, accelerating advancements in healthcare applications, such as drug discovery and personalized medicine.

Geopolitical tensions, particularly in regions where quantum computing research is highly concentrated, such as the United States, China, and Europe, can affect collaborations, supply chains, and access to critical technologies. Trade restrictions, intellectual property concerns, and regulatory barriers could slow the pace of innovation in quantum healthcare solutions. For instance, tensions over technology sharing between nations might limit access to key advancements and talent, hindering progress.

Additionally, geopolitical factors can spur national efforts to secure leadership in quantum technologies, providing more funding and policy support for healthcare-related quantum projects. Overall, macroeconomic and geopolitical dynamics play a crucial role in either advancing or constraining the quantum computing sector in healthcare.

Latest Trends

Integration of Quantum Computing with AI and Machine Learning

A growing trend in quantum computing for healthcare is its integration with artificial intelligence (AI) and machine learning (ML). AI and ML are already transforming healthcare by enabling data-driven insights for diagnostics, treatment planning, and patient care. However, the computational limits of classical computers can sometimes hinder their full potential. Quantum computing, with its superior processing power, can enhance AI and ML models by enabling faster and more complex computations. For example, quantum computing can significantly improve AI algorithms used in medical imaging, enabling faster and more accurate detection of diseases such as cancer.

Researchers are now exploring quantum-enhanced machine learning models that can analyze vast amounts of patient data, helping to predict outcomes or recommend treatments with higher precision. In drug discovery, quantum computing’s ability to handle complex simulations accelerates AI-driven drug development processes. In April 2024, a research team led by Osaka University utilized a quantum computer to differentiate adenosine from the other three nucleotide molecules.

By employing quantum encoding to identify individual nucleotide molecules, this breakthrough represents a crucial step toward the ultimate goal of DNA sequencing. The researchers used electrodes with a nanoscale gap to detect single nucleotides, with the current-time output for adenosine monophosphate differing from that of the other three nucleotides.

Regional Analysis

North America is leading the Quantum Computing in Healthcare Market

North America holds the dominant position in the Quantum Computing in Healthcare market with 39.6% market share, driven by substantial investments, advanced technological infrastructure, and a strong presence of key players. The U.S. is at the forefront, with major tech companies like IBM, Google, and Microsoft leading quantum computing innovations. These companies are collaborating with healthcare providers and pharmaceutical companies to leverage quantum computing in drug discovery, genomics, and medical diagnostics.

The U.S. National Quantum Initiative Act and other government-funded programs are accelerating quantum computing research, including healthcare applications. Additionally, numerous healthcare institutions, such as the Cleveland Clinic and Mayo Clinic, are exploring quantum algorithms for personalized medicine and disease modeling.

The high concentration of research institutes, tech startups, and healthcare providers in North America, combined with government support and the increasing adoption of quantum computing in healthcare, makes the region the largest market for quantum computing in healthcare, with continuous growth expected.

Key Regions and Countries

North America

• US
• Canada

Europe

• Germany
• France
• The UK
• Spain
• Italy
• Russia
• Netherland
• Rest of Europe

Asia Pacific

• China
• Japan
• South Korea
• India
• Australia
• New Zealand
• Singapore
• Thailand
• Vietnam
• Rest of APAC

Latin America

• Brazil
• Mexico
• Rest of Latin America

Middle East & Africa

• South Africa
• Saudi Arabia
• UAE
• Rest of MEA

Key Players Analysis

Key players in the Quantum Computing in Healthcare market includes IBM Corporation, Google LLC, Microsoft Corporation, Amazon Web Services (AWS), Honeywell International Inc., Intel Corporation, Fujitsu Ltd, IonQ Inc., D-Wave Systems, Rigetti Computing, 1QBit, Multiverse Computing, QC Ware, Xanadu Quantum Technologies, Cambridge Quantum Computing, and Other key players.

Top Key Players

• IBM Corporation
• Google LLC
• Microsoft Corporation
• Amazon Web Services (AWS)
• Honeywell International Inc.
• Intel Corporation
• Fujitsu Ltd
• IonQ Inc.
• D-Wave Systems
• Rigetti Computing
• 1QBit
• Multiverse Computing
• QC Ware
• Xanadu Quantum Technologies
• Cambridge Quantum Computing
• Other key players

Key Opinion Leaders

Recent Developments

• In December 2024, Google introduced the Willow quantum chip, a significant advancement in quantum computing. Willow demonstrated error correction and performance that paves the way to a useful, large-scale quantum computer. It completed a computation in under five minutes that would take a supercomputer 10 septillion years, showcasing its potential for solving complex problems beyond the reach of classical computers.
• In June 2025, IonQ, in collaboration with AstraZeneca, Amazon Web Services (AWS), and NVIDIA, demonstrated a quantum-accelerated drug discovery workflow that achieved a 20-fold improvement in simulation time for the Suzuki-Miyaura reaction. This hybrid system integrated IonQ’s Forte quantum processor with NVIDIA CUDA-Q and AWS infrastructure, marking a significant step toward designing more efficient pharmaceutical production methods.
• In June 2025, Honeywell and Nokia, in collaboration with Colt Technology Services, announced plans to explore quantum-safe networking using satellite communications. The initiative aims to test new ways of protecting encrypted optical network traffic from risks posed by quantum computing, ensuring data security in healthcare and other sectors.

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