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醫療保健市場中的量子計算 - 全球行業規模、佔有率、趨勢、機會和預測，按組件、技術、應用、地區和競爭細分，2020-2030F

Quantum Computing in Healthcare Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Technology, By Application, By Region & Competition, 2020-2030F
出版日期: | 出版商: TechSci Research | 英文 185 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024年，全球醫療保健量子運算市場價值為973.6億美元，預計到2030年將達到8,225.5億美元，到2030年複合年成長率為42.71%。

市場概況
預測期 2026-2030
2024 年市場規模 973.6億美元
2030 年市場規模 8225.5億美元
2025-2030 年複合年成長率 42.71%
成長最快的細分市場 軟體
最大的市場 北美洲

量子運算醫療保健是指應用量子運算技術解決醫療保健領域的複雜問題。量子運算利用疊加和糾纏等量子力學原理來處理和分析大量資料，其效率遠高於經典電腦。在醫療保健領域，這項技術有可能徹底改變各個領域，包括藥物發現、基因研究、個人化醫療和醫學影像。例如，量子計算可以顯著加快模擬分子相互作用的過程，從而實現更快、更精確的藥物發現。該技術還可以透過處理複雜的醫療資料並識別傳統方法可能遺漏的模式來提高醫療診斷的準確性。量子演算法可以改進遺傳資料的分析，實現針對個人遺傳特徵的個人化治療，可能帶來更好的結果和更少的副作用。隨著量子運算的不斷發展，它將允許醫療保健提供者以前所未有的速度處理更大的資料集，從電子健康記錄到診斷成像。由於幾個關鍵因素，醫療保健領域的量子運算市場預計將會成長。醫療資料的複雜性日益增加，以及對更有效率、更精確的治療的需求不斷成長，正在推動對先進計算技術的需求。由於傳統的計算方法難以跟上資料規模和挑戰的複雜性，量子計算提供了一個有前途的解決方案。私人公司和政府對量子技術的投資不斷增加，正在推動用於醫療保健應用的更易於訪問和實用的量子計算平台的開發。醫療保健產業正變得更加數據驅動，重點是精準醫療和個人化護理，量子運算可以透過對大量資料集提供更深入的洞察來支持這些產業。量子計算具有顯著減少研究時間和成本、改善治療結果和加強患者護理的潛力，吸引了人們的廣泛關注和投資。因此，在藥物開發、診斷和個人化醫療創新的推動下，醫療保健領域的量子運算市場預計將在未來幾年大幅成長，從而成為該行業的變革力量。

主要市場促進因素

藥物發現和開發的進展

醫學影像和診斷的改進

最佳化醫療營運和管理

政府投資和產業夥伴關係

主要市場挑戰

量子硬體的技術限制和複雜性

研發成本高

監管和道德問題

主要市場趨勢

量子運算與人工智慧的整合以增強醫療保健解決方案

量子運算加速藥物發現與開發

醫療資料安全與隱私中的量子計算

細分市場洞察

技術洞察

區域洞察

目錄

第 1 章：解決方案概述

  • 市場定義
  • 市場範圍
    • 涵蓋的市場
    • 研究年份
    • 主要市場區隔

第 2 章：研究方法

第 3 章：執行摘要

第 4 章：客戶之聲

第 5 章：全球醫療保健市場中的量子運算概述

第 6 章：全球量子運算在醫療保健市場的展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件（硬體、軟體、服務）
    • 依技術（超導量子位元、捕獲離子、量子退火、其他）
    • 按應用（藥物發現和開發、醫學診斷、基因組學和精準醫學、放射治療、風險分析、其他）
    • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
  • 按公司分類 (2024)
  • 市場地圖

第 7 章：北美量子計算在醫療保健市場的前景

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 依技術
    • 按申請
    • 按國家/地區
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第 8 章：歐洲量子計算在醫療保健市場的前景

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 依技術
    • 按申請
    • 按國家/地區
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙
    • 比利時

第 9 章：亞太地區量子運算在醫療保健市場的展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 依技術
    • 按申請
    • 按國家/地區
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 印尼
    • 越南

第 10 章：南美洲量子計算在醫療保健市場的前景

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 依技術
    • 按申請
    • 按國家/地區
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷
    • 智利

第 11 章：中東和非洲醫療保健市場中的量子運算前景

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 依技術
    • 按申請
    • 按國家/地區
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非
    • 土耳其
    • 以色列

第 12 章：市場動態

  • 促進要素
  • 挑戰

第 13 章：市場趨勢與發展

第 14 章：公司簡介

  • 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

第 15 章：策略建議

第16章調查會社について,免責事項

簡介目錄
Product Code: 26917

The Global Quantum Computing in Healthcare Market was valued at USD 97.36 billion in 2024 and is expected to reach USD 822.55 billion by 2030 with a CAGR of 42.71% through 2030.

Market Overview
Forecast Period2026-2030
Market Size 2024USD 97.36 Billion
Market Size 2030USD 822.55 Billion
CAGR 2025-203042.71%
Fastest Growing SegmentSoftware
Largest MarketNorth America

Quantum computing in healthcare refers to the application of quantum computing technology to solve complex problems in the medical and healthcare sectors. Quantum computing leverages the principles of quantum mechanics, such as superposition and entanglement, to process and analyze vast amounts of data far more efficiently than classical computers. In healthcare, this technology has the potential to revolutionize various areas, including drug discovery, genetic research, personalized medicine, and medical imaging. For instance, quantum computing can significantly speed up the process of simulating molecular interactions, thereby enabling faster and more precise drug discovery. This technology can also enhance the accuracy of medical diagnoses by processing complex medical data and identifying patterns that might be missed by traditional methods. Quantum algorithms can improve the analysis of genetic data, enabling personalized treatments tailored to an individual's genetic profile, potentially leading to better outcomes and fewer side effects. As quantum computing continues to advance, it will allow healthcare providers to process much larger datasets, from electronic health records to diagnostic imaging, at an unprecedented speed. The market for quantum computing in healthcare is expected to rise due to several key factors. The increasing complexity of healthcare data, along with the growing demand for more efficient and precise treatments, is driving the need for advanced computational technologies. As traditional computing methods struggle to keep up with the scale of data and the complexity of the challenges, quantum computing presents a promising solution. The growing investment in quantum technologies by both private companies and governments is fueling the development of more accessible and practical quantum computing platforms for healthcare applications. The healthcare industry is becoming more data-driven, with an emphasis on precision medicine and personalized care, which quantum computing can support by unlocking deeper insights into vast datasets. The potential to dramatically reduce the time and cost of research, improve treatment outcomes, and enhance patient care is attracting significant attention and investment in quantum computing. As a result, the market for quantum computing in healthcare is expected to experience substantial growth in the coming years, driven by innovations in drug development, diagnostics, and personalized medicine, positioning it as a transformative force in the industry.

Key Market Drivers

Advancements in Drug Discovery and Development

One of the key drivers for the growth of the Quantum Computing in Healthcare Market is its potential to revolutionize drug discovery and development. Traditional drug discovery processes often involve laborious trial and error methods, which are time-consuming and expensive. Quantum computing can dramatically enhance the speed and accuracy of these processes by enabling researchers to simulate and model the behavior of molecules at an atomic level. This powerful computational capability allows scientists to predict how drugs interact with specific targets in the body, potentially reducing the need for lengthy experimental procedures. Quantum computers can analyze vast chemical databases in real-time, identifying promising drug candidates and reducing the overall cost of bringing a drug to market. This ability to quickly identify and optimize molecules accelerates the discovery of new treatments, particularly for complex diseases that have eluded traditional methods, such as cancer, neurodegenerative disorders, and rare genetic conditions. The pharmaceutical industry, which spends billions of dollars annually on research and development, stands to benefit significantly from the enhanced computational power of quantum computing. By streamlining drug development, quantum computing can help companies reduce time-to-market and bring life-saving treatments to patients more quickly. As the technology matures, quantum computing can further improve the precision of drug design, ensuring that therapies are not only effective but also tailored to the specific genetic makeup of patients. The promise of personalized medicine, where treatments are customized based on an individual's genetic profile, is a significant factor driving the growth of quantum computing in healthcare. Investors and pharmaceutical companies are increasingly recognizing the potential of quantum technologies to revolutionize drug discovery, which in turn is spurring more research, development, and capital infusion into the sector, further propelling the market. Global investment in quantum computing research, including healthcare applications, reached over USD 1.5 billion, highlighting the growing recognition of quantum computing's potential in transforming the healthcare and pharmaceutical sectors.

Improvement in Medical Imaging and Diagnostics

Quantum computing is poised to significantly enhance medical imaging and diagnostics, which is another critical driver of its growing adoption in the healthcare market. Medical imaging technologies, such as magnetic resonance imaging (MRI), computed tomography (CT) scans, and positron emission tomography (PET), generate vast amounts of data that need to be processed and analyzed quickly and accurately. Quantum computing offers the ability to process these large datasets with remarkable speed and precision, enabling better quality images and more accurate diagnoses. The power of quantum computing lies in its ability to analyze complex medical data in real time, identifying patterns and anomalies that might be difficult for human practitioners or traditional computers to detect. For instance, in the case of cancer diagnosis, quantum computing can enhance the accuracy of detecting tumors at an early stage by analyzing detailed imaging data and comparing it with large datasets of known medical cases. This can lead to earlier interventions, better patient outcomes, and reduced healthcare costs in the long term. Quantum computing can help optimize imaging techniques, reducing the time and resources required to produce high-quality images while ensuring greater clarity and resolution. In diagnostics, quantum algorithms can be employed to process vast quantities of genetic data, medical history, and imaging results simultaneously, providing more comprehensive insights into a patient's health. These insights can help clinicians make faster, more informed decisions regarding treatment plans. The continuous evolution of artificial intelligence and machine learning, combined with the power of quantum computing, enables the healthcare industry to move toward more accurate and efficient diagnostic tools, driving the expansion of quantum technologies in the healthcare sector. Quantum computing could reduce the time spent on drug discovery by up to 70%, enabling pharmaceutical companies to bring new treatments to market faster and more cost-effectively.

Optimization of Healthcare Operations and Management

Quantum computing offers the potential to optimize various operational aspects of healthcare systems, improving efficiency, reducing costs, and enhancing patient care. Healthcare institutions, including hospitals and clinics, manage vast amounts of data on a daily basis, ranging from patient records and diagnostic results to treatment plans and administrative functions. Quantum computing can help healthcare organizations streamline their operations by processing and analyzing these data streams more effectively. Quantum algorithms can assist in resource allocation, scheduling, and supply chain management, leading to cost reductions and improved operational efficiency. For example, quantum computing can optimize patient scheduling by predicting demand patterns based on historical data, ensuring that healthcare providers can allocate resources more effectively and reduce patient wait times. Quantum computing can help with predictive maintenance of medical equipment, ensuring that critical devices such as MRI machines and ventilators are operating at peak efficiency and minimizing costly downtime. In supply chain management, quantum algorithms can optimize inventory management, ensuring that essential medical supplies are available when needed while reducing waste and excess inventory. The healthcare industry is increasingly focusing on data-driven decision-making, and quantum computing enables faster and more accurate analysis of operational data, leading to better decision-making and improved patient outcomes. As healthcare providers face growing pressure to deliver high-quality care while controlling costs, the ability to leverage quantum computing for operational optimization will be a significant driver of the Quantum Computing in Healthcare Market. The global trend toward digital transformation in healthcare, fueled by electronic health records and telemedicine, is expected to further increase demand for quantum computing solutions that can handle the increasing volume of data generated by these systems.

Government Investments and Industry Partnerships

Government investments and industry partnerships are pivotal drivers of the Quantum Computing in Healthcare Market. Recognizing the transformative potential of quantum computing, governments around the world are increasing their investments in quantum research and development. National initiatives and funding programs are being established to support the development of quantum technologies, including those that are applicable to healthcare. These investments help accelerate the development of quantum computing platforms and solutions tailored specifically for the healthcare sector. In addition to government funding, industry partnerships between healthcare organizations, technology companies, and academic institutions are playing a crucial role in advancing quantum computing applications in healthcare. These collaborations facilitate the sharing of expertise, resources, and data, allowing for the rapid development and deployment of quantum-powered healthcare solutions. Technology companies, including those in the semiconductor, artificial intelligence, and biotechnology sectors, are partnering with healthcare providers to create innovative quantum computing solutions that address specific healthcare challenges. The growing involvement of both public and private sectors in quantum computing research and development is expected to drive substantial market growth. These partnerships not only help advance technology but also foster a favorable regulatory environment that supports the integration of quantum computing into healthcare. As these investments continue to grow, they will further catalyze the expansion of the Quantum Computing in Healthcare Market, enabling the widespread adoption of quantum technologies across various healthcare applications. China, a global leader in quantum technology, has invested USD 10 billion in quantum computing research and development, including its application in healthcare, aiming to lead the field by 2030

Key Market Challenges

Technical Limitations and Complexity of Quantum Hardware

One of the most significant challenges facing the Quantum Computing in Healthcare Market is the current technical limitations and complexity of quantum hardware. Quantum computers operate on principles that differ fundamentally from classical computers, relying on quantum bits or qubits, which can exist in multiple states simultaneously, unlike traditional bits that are either 0 or 1. While the theoretical potential of quantum computing is vast, the hardware required to realize these capabilities is still in its infancy. Building and maintaining quantum computers that can perform reliable and accurate calculations is a complex task, with many technical hurdles to overcome. For instance, quantum computers are highly sensitive to environmental factors such as temperature fluctuations, electromagnetic interference, and even cosmic radiation, making them difficult to scale and maintain in a real-world setting. In the healthcare industry, where precision and reliability are critical, these hardware challenges present a major barrier to the widespread adoption of quantum computing. For example, when applied to drug discovery or genetic research, any errors in computation or instability in quantum systems could lead to incorrect findings, potentially resulting in harmful treatments or ineffective drugs. These concerns around the reliability and error rates of quantum computations can slow down the integration of quantum technologies into healthcare applications, particularly when compared to the proven performance of traditional computational methods. Developing quantum hardware that is both powerful enough for large-scale healthcare applications and cost-effective is another significant challenge. Current quantum computers are still in the experimental phase and are not yet capable of handling the vast, complex datasets that characterize the healthcare industry, such as large-scale medical imaging data or comprehensive genetic profiles. The ability to process this data efficiently and accurately remains a considerable hurdle. Until these hardware limitations are addressed, the full potential of quantum computing in healthcare will remain largely untapped, limiting its ability to transform key areas such as drug discovery, diagnostics, and personalized medicine.

High Cost of Research and Development

Another significant challenge hindering the widespread adoption of quantum computing in healthcare is the high cost associated with its research and development. Quantum computing technologies require highly specialized expertise, sophisticated laboratories, and advanced equipment to develop and maintain. These requirements result in a substantial financial investment that may be beyond the reach of many healthcare organizations, particularly small and mid-sized enterprises. The cost of developing quantum computers capable of solving complex healthcare problems is astronomical, and the healthcare sector, which already faces financial pressures, may find it difficult to justify such investments without clear, immediate returns. The process of integrating quantum computing into existing healthcare infrastructure adds another layer of financial complexity. Healthcare providers and research institutions would need to update or replace their existing computational systems, invest in training staff to use quantum technologies, and potentially undergo significant system overhauls to accommodate quantum computing solutions. Given that the healthcare industry operates within tight margins, particularly in public healthcare systems, allocating resources to the research, development, and integration of quantum computing may not be a priority without tangible, short-term benefits. This high cost also affects the adoption of quantum computing by pharmaceutical companies and medical researchers. While large pharmaceutical firms may have the financial resources to invest in quantum technologies, smaller biotech companies and independent researchers may struggle to secure the necessary funding. In addition, the extended development timelines for quantum computing projects further complicate the business case for investment. The risk that quantum technologies may not deliver a return on investment within the expected timeframe is a critical concern for investors, creating a barrier to the allocation of funds toward quantum healthcare initiatives. To overcome this challenge, there will need to be significant collaboration between governments, industry leaders, and research institutions to share the financial burden and make quantum computing more accessible to healthcare organizations of all sizes.

Regulatory and Ethical Concerns

The integration of quantum computing into healthcare raises numerous regulatory and ethical challenges that must be addressed before widespread adoption can occur. Quantum computing's potential to analyze and process vast amounts of sensitive healthcare data, such as patient medical records, genetic information, and imaging data, introduces significant privacy and security risks. Healthcare organizations are subject to stringent regulatory frameworks such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States, which ensures the confidentiality and security of patient data. As quantum computing technology progresses, there are concerns that it could outpace current encryption methods, potentially compromising the security of sensitive healthcare data. The ability of quantum computers to solve complex encryption algorithms much faster than traditional computers could make existing data protection measures obsolete, leaving healthcare organizations vulnerable to data breaches. The use of quantum computing in healthcare applications raises ethical concerns, particularly in areas such as personalized medicine and genetic research. The processing of large-scale genomic data to tailor personalized treatments could potentially lead to privacy violations or misuse of genetic information. For instance, patients may not fully understand the implications of having their genetic data analyzed or shared with third parties, leading to concerns about consent and autonomy. There are also risks of genetic data being used for discriminatory purposes, such as denying individuals access to healthcare or insurance based on genetic predispositions to certain conditions. To address these concerns, healthcare regulators will need to develop new policies and frameworks that specifically address the unique challenges posed by quantum computing. These regulations will need to ensure that quantum computing technologies are used ethically, that patient data is protected, and that privacy and consent are respected. However, developing such regulatory frameworks is a complex task, as the technology is still evolving, and existing laws may not be adequate to address the new risks associated with quantum computing. The challenge lies in creating a regulatory environment that promotes innovation while also ensuring the safety, privacy, and ethical treatment of patients. Until these regulatory and ethical concerns are resolved, the adoption of quantum computing in healthcare will be slow and cautious.

Key Market Trends

Integration of Quantum Computing with Artificial Intelligence for Enhanced Healthcare Solutions

A significant trend in the Quantum Computing in Healthcare Market is the integration of quantum computing with artificial intelligence (AI) to enhance healthcare solutions. Quantum computing's ability to process and analyze vast amounts of data at unprecedented speeds, when combined with AI algorithms, can lead to breakthroughs in various aspects of healthcare, including diagnostics, personalized medicine, and drug discovery. Artificial intelligence already plays a critical role in healthcare by automating tasks, identifying patterns, and providing insights that aid clinical decision-making. However, AI models can be limited by the computational power of classical computers, especially when dealing with large, complex datasets such as medical images or genetic data. By harnessing the power of quantum computing, AI models can be trained and optimized more efficiently, enabling deeper insights into healthcare data. Quantum algorithms can accelerate AI's ability to analyze and recognize complex patterns that classical algorithms might miss. For example, in the field of medical imaging, AI algorithms can be enhanced by quantum computing to improve the accuracy and speed of detecting diseases such as cancer, heart disease, or neurological disorders from medical scans. In personalized medicine, AI combined with quantum computing can help analyze a patient's genetic makeup to predict disease risk and recommend customized treatment plans. This fusion of AI and quantum computing holds the promise of revolutionizing healthcare by making diagnostics and treatment more precise, efficient, and individualized, driving significant growth in the Quantum Computing in Healthcare Market. In 2023, global investments in AI and quantum computing technologies reached USD 4.6 billion across various industries, with a significant portion of these funds being allocated to healthcare applications.

Quantum Computing for Accelerated Drug Discovery and Development

Another key trend driving the Quantum Computing in Healthcare Market is the growing interest in leveraging quantum computing for accelerated drug discovery and development. The pharmaceutical industry is constantly searching for ways to bring new drugs to market faster while reducing costs. Traditional drug discovery processes are often time-consuming and expensive, requiring researchers to simulate molecular interactions and experiment with countless compounds to identify effective drugs. Quantum computing, with its ability to simulate molecular and atomic structures at a quantum level, offers a much more efficient way to predict the behavior of molecules and accelerate drug discovery. By simulating molecular interactions more accurately, quantum computing can help researchers identify promising drug candidates in a fraction of the time it would take using classical computing methods. This capability could significantly reduce the time and cost involved in early-stage drug development, leading to faster treatments for patients. Quantum computing can also aid in the design of more effective and targeted therapies by analyzing the interactions between drugs and biological systems on a molecular level. For example, quantum algorithms can predict how drugs will interact with specific proteins or enzymes, which is crucial in developing treatments for diseases such as cancer, Alzheimer's, and rare genetic disorders. As pharmaceutical companies and research institutions continue to explore the potential of quantum computing, this trend is expected to significantly contribute to the growth of the Quantum Computing in Healthcare Market.

Quantum Computing in Healthcare Data Security and Privacy

As healthcare organizations increasingly adopt digital technologies, the need for robust data security and privacy measures has become more critical. The healthcare sector handles vast amounts of sensitive patient information, including medical records, diagnostic results, and genetic data, all of which must be protected to comply with regulatory standards such as the Health Insurance Portability and Accountability Act (HIPAA). Quantum computing is emerging as a powerful tool to address security challenges in healthcare by enabling more advanced encryption methods and providing enhanced protection against data breaches. Traditional encryption algorithms, which rely on the computational difficulty of certain mathematical problems, could be rendered obsolete by the power of quantum computers. However, quantum computing also offers the potential to create more secure encryption systems that are resistant to attacks by quantum computers. Quantum encryption, including quantum key distribution and quantum-secure communication protocols, can ensure that sensitive healthcare data remains secure even in the face of rapidly advancing quantum computing technologies. This is particularly important as healthcare organizations increasingly rely on cloud computing and data-sharing platforms to store and process patient data. By leveraging quantum computing for enhanced encryption and security measures, healthcare providers can protect patient privacy, maintain trust, and ensure compliance with data protection regulations. The growing focus on data security and privacy in healthcare is driving the demand for quantum technologies, contributing to the expansion of Quantum Computing in Healthcare Market.

Segmental Insights

Technology Insights

Superconducting qubits segment dominated the Quantum Computing in Healthcare Market in 2024 and maintain its leadership position throughout the forecast period. Superconducting qubits are currently the most widely used and researched technology in the quantum computing field due to their relatively advanced development and scalability. These qubits utilize superconducting circuits to represent quantum bits, enabling the creation of stable and reliable quantum computers that can perform complex computations efficiently. In the healthcare sector, the technology's ability to handle large datasets and perform simulations at incredible speeds makes it ideal for applications such as drug discovery, molecular simulations, and personalized medicine. Superconducting qubits have also seen significant investment from major technology companies and research institutions, accelerating their development and improving their commercial viability. This technology benefits from its proven track record in producing quantum processors with increased coherence times and improved gate fidelity, essential for the accurate and reliable execution of healthcare-related tasks. With ongoing advancements in error correction techniques and hardware improvements, superconducting qubits are expected to continue their dominance, outpacing other quantum computing technologies like trapped ions and quantum annealing, which face challenges related to scalability and operational efficiency in large-scale applications. As healthcare organizations increasingly recognize the potential of quantum computing to drive breakthroughs in drug development, medical diagnostics, and personalized care, the widespread adoption of superconducting qubits is anticipated to drive sustained growth in the Quantum Computing in Healthcare Market.

Regional Insights

North America region dominated the Quantum Computing in Healthcare Market in 2024 and maintain its dominance throughout the forecast period. The region benefits from a combination of factors, including significant investments in research and development, strong government support, and the presence of leading technology companies and healthcare institutions. North America, particularly the United States, is home to some of the world's largest technology firms that are heavily investing in quantum computing, such as IBM, Google, and Intel. These companies are at the forefront of developing quantum computing technologies and are actively exploring their applications in healthcare, such as drug discovery, diagnostics, and personalized medicine. The U.S. government has committed substantial funding to quantum research through initiatives like the National Quantum Initiative Act, which aims to promote the development of quantum technologies, further fueling growth in the healthcare sector. North America has a well-established healthcare infrastructure with a high level of digitalization, making it more conducive to the integration of emerging technologies such as quantum computing. The region also benefits from collaborations between technology firms, academic institutions, and healthcare providers, accelerating the adoption of quantum technologies in healthcare. As a result, North America is well-positioned to maintain its leadership in the Quantum Computing in Healthcare Market, driven by ongoing advancements in quantum computing capabilities, strong industry partnerships, and a favorable regulatory environment. This trend is expected to continue throughout the forecast period as the region remains at the forefront of technological innovation in healthcare.

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

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
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Belgium
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia
    • Indonesia
    • Vietnam
  • South America
    • Brazil
    • Colombia
    • Argentina
    • Chile
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • South Africa
    • Turkey
    • Israel

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Quantum Computing in Healthcare Market.

Available Customizations:

Global Quantum Computing in Healthcare Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Solution Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Formulation of the Scope
  • 2.4. Assumptions and Limitations
  • 2.5. Sources of Research
    • 2.5.1. Secondary Research
    • 2.5.2. Primary Research
  • 2.6. Approach for the Market Study
    • 2.6.1. The Bottom-Up Approach
    • 2.6.2. The Top-Down Approach
  • 2.7. Methodology Followed for Calculation of Market Size & Market Shares
  • 2.8. Forecasting Methodology
    • 2.8.1. Data Triangulation & Validation

3. Executive Summary

4. Voice of Customer

5. Global Quantum Computing in Healthcare Market Overview

6. Global Quantum Computing in Healthcare Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component (Hardware, Software, Services)
    • 6.2.2. By Technology (Superconducting Qubits, Trapped Ions, Quantum Annealing, Others)
    • 6.2.3. By Application (Drug Discovery & development, Medical Diagnostics, Genomics & Precision Medicine, Radiotherapy, Risk Analysis, Others)
    • 6.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
  • 6.3. By Company (2024)
  • 6.4. Market Map

7. North America Quantum Computing in Healthcare Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Technology
    • 7.2.3. By Application
    • 7.2.4. By Country
  • 7.3. North America: Country Analysis
    • 7.3.1. United States Quantum Computing in Healthcare Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Component
        • 7.3.1.2.2. By Technology
        • 7.3.1.2.3. By Application
    • 7.3.2. Canada Quantum Computing in Healthcare Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Component
        • 7.3.2.2.2. By Technology
        • 7.3.2.2.3. By Application
    • 7.3.3. Mexico Quantum Computing in Healthcare Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Component
        • 7.3.3.2.2. By Technology
        • 7.3.3.2.3. By Application

8. Europe Quantum Computing in Healthcare Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Technology
    • 8.2.3. By Application
    • 8.2.4. By Country
  • 8.3. Europe: Country Analysis
    • 8.3.1. Germany Quantum Computing in Healthcare Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Technology
        • 8.3.1.2.3. By Application
    • 8.3.2. France Quantum Computing in Healthcare Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Technology
        • 8.3.2.2.3. By Application
    • 8.3.3. United Kingdom Quantum Computing in Healthcare Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Technology
        • 8.3.3.2.3. By Application
    • 8.3.4. Italy Quantum Computing in Healthcare Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Component
        • 8.3.4.2.2. By Technology
        • 8.3.4.2.3. By Application
    • 8.3.5. Spain Quantum Computing in Healthcare Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Component
        • 8.3.5.2.2. By Technology
        • 8.3.5.2.3. By Application
    • 8.3.6. Belgium Quantum Computing in Healthcare Market Outlook
      • 8.3.6.1. Market Size & Forecast
        • 8.3.6.1.1. By Value
      • 8.3.6.2. Market Share & Forecast
        • 8.3.6.2.1. By Component
        • 8.3.6.2.2. By Technology
        • 8.3.6.2.3. By Application

9. Asia Pacific Quantum Computing in Healthcare Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Technology
    • 9.2.3. By Application
    • 9.2.4. By Country
  • 9.3. Asia Pacific: Country Analysis
    • 9.3.1. China Quantum Computing in Healthcare Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Component
        • 9.3.1.2.2. By Technology
        • 9.3.1.2.3. By Application
    • 9.3.2. India Quantum Computing in Healthcare Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Component
        • 9.3.2.2.2. By Technology
        • 9.3.2.2.3. By Application
    • 9.3.3. Japan Quantum Computing in Healthcare Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Component
        • 9.3.3.2.2. By Technology
        • 9.3.3.2.3. By Application
    • 9.3.4. South Korea Quantum Computing in Healthcare Market Outlook
      • 9.3.4.1. Market Size & Forecast
        • 9.3.4.1.1. By Value
      • 9.3.4.2. Market Share & Forecast
        • 9.3.4.2.1. By Component
        • 9.3.4.2.2. By Technology
        • 9.3.4.2.3. By Application
    • 9.3.5. Australia Quantum Computing in Healthcare Market Outlook
      • 9.3.5.1. Market Size & Forecast
        • 9.3.5.1.1. By Value
      • 9.3.5.2. Market Share & Forecast
        • 9.3.5.2.1. By Component
        • 9.3.5.2.2. By Technology
        • 9.3.5.2.3. By Application
    • 9.3.6. Indonesia Quantum Computing in Healthcare Market Outlook
      • 9.3.6.1. Market Size & Forecast
        • 9.3.6.1.1. By Value
      • 9.3.6.2. Market Share & Forecast
        • 9.3.6.2.1. By Component
        • 9.3.6.2.2. By Technology
        • 9.3.6.2.3. By Application
    • 9.3.7. Vietnam Quantum Computing in Healthcare Market Outlook
      • 9.3.7.1. Market Size & Forecast
        • 9.3.7.1.1. By Value
      • 9.3.7.2. Market Share & Forecast
        • 9.3.7.2.1. By Component
        • 9.3.7.2.2. By Technology
        • 9.3.7.2.3. By Application

10. South America Quantum Computing in Healthcare Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Technology
    • 10.2.3. By Application
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Quantum Computing in Healthcare Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Technology
        • 10.3.1.2.3. By Application
    • 10.3.2. Colombia Quantum Computing in Healthcare Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Technology
        • 10.3.2.2.3. By Application
    • 10.3.3. Argentina Quantum Computing in Healthcare Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Component
        • 10.3.3.2.2. By Technology
        • 10.3.3.2.3. By Application
    • 10.3.4. Chile Quantum Computing in Healthcare Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Component
        • 10.3.4.2.2. By Technology
        • 10.3.4.2.3. By Application

11. Middle East & Africa Quantum Computing in Healthcare Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Component
    • 11.2.2. By Technology
    • 11.2.3. By Application
    • 11.2.4. By Country
  • 11.3. Middle East & Africa: Country Analysis
    • 11.3.1. Saudi Arabia Quantum Computing in Healthcare Market Outlook
      • 11.3.1.1. Market Size & Forecast
        • 11.3.1.1.1. By Value
      • 11.3.1.2. Market Share & Forecast
        • 11.3.1.2.1. By Component
        • 11.3.1.2.2. By Technology
        • 11.3.1.2.3. By Application
    • 11.3.2. UAE Quantum Computing in Healthcare Market Outlook
      • 11.3.2.1. Market Size & Forecast
        • 11.3.2.1.1. By Value
      • 11.3.2.2. Market Share & Forecast
        • 11.3.2.2.1. By Component
        • 11.3.2.2.2. By Technology
        • 11.3.2.2.3. By Application
    • 11.3.3. South Africa Quantum Computing in Healthcare Market Outlook
      • 11.3.3.1. Market Size & Forecast
        • 11.3.3.1.1. By Value
      • 11.3.3.2. Market Share & Forecast
        • 11.3.3.2.1. By Component
        • 11.3.3.2.2. By Technology
        • 11.3.3.2.3. By Application
    • 11.3.4. Turkey Quantum Computing in Healthcare Market Outlook
      • 11.3.4.1. Market Size & Forecast
        • 11.3.4.1.1. By Value
      • 11.3.4.2. Market Share & Forecast
        • 11.3.4.2.1. By Component
        • 11.3.4.2.2. By Technology
        • 11.3.4.2.3. By Application
    • 11.3.5. Israel Quantum Computing in Healthcare Market Outlook
      • 11.3.5.1. Market Size & Forecast
        • 11.3.5.1.1. By Value
      • 11.3.5.2. Market Share & Forecast
        • 11.3.5.2.1. By Component
        • 11.3.5.2.2. By Technology
        • 11.3.5.2.3. By Application

12. Market Dynamics

  • 12.1. Drivers
  • 12.2. Challenges

13. Market Trends and Developments

14. Company Profiles

  • 14.1. IBM Corporation
    • 14.1.1. Business Overview
    • 14.1.2. Key Revenue and Financials
    • 14.1.3. Recent Developments
    • 14.1.4. Key Personnel/Key Contact Person
    • 14.1.5. Key Product/Services Offered
  • 14.2. Google LLC
    • 14.2.1. Business Overview
    • 14.2.2. Key Revenue and Financials
    • 14.2.3. Recent Developments
    • 14.2.4. Key Personnel/Key Contact Person
    • 14.2.5. Key Product/Services Offered
  • 14.3. Microsoft Corporation
    • 14.3.1. Business Overview
    • 14.3.2. Key Revenue and Financials
    • 14.3.3. Recent Developments
    • 14.3.4. Key Personnel/Key Contact Person
    • 14.3.5. Key Product/Services Offered
  • 14.4. Intel Corporation
    • 14.4.1. Business Overview
    • 14.4.2. Key Revenue and Financials
    • 14.4.3. Recent Developments
    • 14.4.4. Key Personnel/Key Contact Person
    • 14.4.5. Key Product/Services Offered
  • 14.5. Honeywell International Inc.
    • 14.5.1. Business Overview
    • 14.5.2. Key Revenue and Financials
    • 14.5.3. Recent Developments
    • 14.5.4. Key Personnel/Key Contact Person
    • 14.5.5. Key Product/Services Offered
  • 14.6. D-Wave Systems Inc.
    • 14.6.1. Business Overview
    • 14.6.2. Key Revenue and Financials
    • 14.6.3. Recent Developments
    • 14.6.4. Key Personnel/Key Contact Person
    • 14.6.5. Key Product/Services Offered
  • 14.7. Amazon.com, Inc.
    • 14.7.1. Business Overview
    • 14.7.2. Key Revenue and Financials
    • 14.7.3. Recent Developments
    • 14.7.4. Key Personnel/Key Contact Person
    • 14.7.5. Key Product/Services Offered
  • 14.8. IonQ, Inc.
    • 14.8.1. Business Overview
    • 14.8.2. Key Revenue and Financials
    • 14.8.3. Recent Developments
    • 14.8.4. Key Personnel/Key Contact Person
    • 14.8.5. Key Product/Services Offered
  • 14.9. Rigetti Computing, Inc.
    • 14.9.1. Business Overview
    • 14.9.2. Key Revenue and Financials
    • 14.9.3. Recent Developments
    • 14.9.4. Key Personnel/Key Contact Person
    • 14.9.5. Key Product/Services Offered
  • 14.10. Accenture plc
    • 14.10.1. Business Overview
    • 14.10.2. Key Revenue and Financials
    • 14.10.3. Recent Developments
    • 14.10.4. Key Personnel/Key Contact Person
    • 14.10.5. Key Product/Services Offered

15. Strategic Recommendations

16. About Us & Disclaimer