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The global quantum computing in drug discovery market size was valued at USD 478.8 million in 2022, driven by the emphasis of precise and improved drug production across the globe. The market is expected to grow at a CAGR of 32.9% during the forecast period of 2023-2031, with the values likely to rise from USD 676.6 million in 2023 to USD 6576.5 million by 2031.
Quantum computing is a contemporary approach that applies the principles of quantum physics to resolve a complex problem in a short span of time. Quantum theory explains the behaviour of energy at atomic and subatomic levels. It has found its pertinence in almost all domains, be it finance, security, military intelligence, machine learning, artificial intelligence, along with drug design and discovery.
The healthcare industry uses quantum computing for drug design, discovery, and advanced DNA research. Its ability to stimulate and analyze large and complex molecules in a shorter duration could prove to be a game changer for the future generations.
Early stages of drug development involve pattern recognition. Traditional methods rely on approximations and assumptions of molecular behavior. This is not only time consuming but also allows a scope of error. When compared to conventional computers, quantum computers stimulate and analyze the behavior of large molecules faster. Most of the quantum computing systems use atoms or ions, but now “qubits” enable the system to look at all possible outcomes of an issue and analyze them simultaneously. Additionally, Algoritmiq, a scaleup, raised USD 15 million to develop quantum algorithms that address the most complex issues in pharmaceuticals revolving around time and cost in drug discovery and development.
Creating a library of small molecules that may interact with the target protein is a crucial step of drug discovery. In May 2023, POLARISqb launched QuADD (Quantum-Aided Drug Design), a subscription-based SaaS (software as a service) platform that optimizes the library of best candidate molecules to be used as drug targets.
Traditionally, scientists would rely on wet-lab testing that would take years to provide results and was also limited to certain chemicals, but this process can now accelerate using a quantum annealing computer. With an emerging startup culture, we can expect some hefty investments in similar technologies that may contribute to the steadily rising quantum computing in drug discovery market value.
Quantum computing machine learning can also improve the already existing artificial intelligence models, with its ability to find patterns in medical imaging data and electronic health logs. This can lead to better accuracy and processing power of models, like BioGPT, by helping with specific statistical calculations. Such developments indicate that quantum computing in drug discovery market demand is going to expand in the future.
Market Breakup by Product and Services
Market Breakup by Therapeutic Area
Market Breakup by Region
Drug development is a time consuming and complex process that can cost up to billions. With the incidence of chronic diseases, post COVID-19 complications and the increasing geriatric population, the demand for drugs has increased. Hence, researchers and scientists have turned to quantum computing to offer accurate and rapid drug discoveries. When combined with other cutting-edge technologies like artificial intelligence, machine learning and cloud computing, quantum computing in drug discovery market growth is certain in the coming years.
Owing to the existence of a robust healthcare and technology driven infrastructure, North America is anticipated to aid the quantum computing in drug discovery market share in the forecast period. The presence of key healthcare players that commit to driving the market towards better technology and solutions will also aid the expansion.
The key features of the market report include patent analysis, grants analysis, clinical trials analysis, funding and investment analysis, partnerships, and collaborations analysis by the leading key players. The major companies in the market are as follows:
REPORT FEATURES | DETAILS |
Base Year | 2022 |
Historical Period | 2016-2022 |
Forecast Period | 2023-2031 |
Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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Breakup by Product and Services |
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Breakup by Therapeutic Area |
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Breakup by Region |
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Market Dynamics |
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Competitive Landscape |
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Companies Covered |
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*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.
1 Preface
1.1 Objectives of the Study
1.2 Key Assumptions
1.3 Report Coverage – Key Segmentation and Scope
1.4 Research Methodology
2 Executive Summary
3 Global Quantum Computing in Drug Discovery Market Overview
3.1 Global Quantum Computing in Drug Discovery Market Historical Value (2016-2022)
3.2 Global Quantum Computing in Drug Discovery Market Forecast Value (2023-2031)
4 Global Quantum Computing in Drug Discovery Market Landscape
4.1 Global Quantum Computing in Drug Discovery: Developers Landscape
4.1.1 Analysis by Year of Establishment
4.1.2 Analysis by Company Size
4.1.3 Analysis by Region
4.2 Global Quantum Computing in Drug Discovery: Product Landscape
4.2.1 Analysis by Type
4.2.2 Analysis by Technology
4.2.3 Analysis by Applications
5 Global Quantum Computing in Drug Discovery Market Dynamics
5.1 Market Drivers and Constraints
5.2 SWOT Analysis
5.3 Porter’s Five Forces Model
5.4 Key Demand Indicators
5.5 Key Price Indicators
5.6 Industry Events, Initiatives, and Trends
5.7 Value Chain Analysis
6 Global Quantum Computing in Drug Discovery Market Segmentation
6.1 Global Quantum Computing in Drug Discovery Market by Product and Services
6.1.1 Market Overview
6.1.2 Target Identification / Validation
6.1.3 Hit Generation / Lead Identification
6.1.4 Lead Optimization
6.2 Global Quantum Computing in Drug Discovery Market by Therapeutic Area
6.2.1 Market Overview
6.2.2 Cardiovascular Disorders
6.2.3 CNS Disorders
6.2.4 Dermatological Disorders
6.2.5 Endocrine Disorders
6.2.6 Gastrointestinal Disorders
6.2.7 Immunological Disorders
6.2.8 Infectious Diseases
6.2.9 Musculoskeletal Disorders
6.2.10 Oncological Disorders
6.2.11 Respiratory Disorders
6.2.12 Others
6.3 Global Quantum Computing in Drug Discovery Market by Region
6.3.1 Market Overview
6.3.2 North America
6.3.3 Europe
6.3.4 Asia Pacific
6.3.5 Latin America
6.3.6 Middle East and Africa
7 North America Quantum Computing in Drug Discovery Market
7.1 Market Share by Country
7.2 United States of America
7.3 Canada
8 Europe Quantum Computing in Drug Discovery Market
8.1 Market Share by Country
8.2 United Kingdom
8.3 Germany
8.4 France
8.5 Italy
8.6 Others
9 Asia Pacific Quantum Computing in Drug Discovery Market
9.1 Market Share by Country
9.2 China
9.3 Japan
9.4 India
9.5 ASEAN
9.6 Australia
9.7 Others
10 Latin America Quantum Computing in Drug Discovery Market
10.1 Market Share by Country
10.2 Brazil
10.3 Argentina
10.4 Mexico
10.5 Others
11 Middle East and Africa Quantum Computing in Drug Discovery Market
11.1 Market Share by Country
11.2 Saudi Arabia
11.3 United Arab Emirates
11.4 Nigeria
11.5 South Africa
11.6 Others
12 Regulatory Framework
12.1 Regulatory Overview
12.1.1 US FDA
12.1.2 EU EMA
12.1.3 INDIA CDSCO
12.1.4 JAPAN PMDA
12.1.5 Others
13 Patent Analysis
13.1 Analysis by Type of Patent
13.2 Analysis by Publication year
13.3 Analysis by Issuing Authority
13.4 Analysis by Patent Age
13.5 Analysis by CPC Analysis
13.6 Analysis by Patent Valuation
13.7 Analysis by Key Players
14 Grants Analysis
14.1 Analysis by year
14.2 Analysis by Amount Awarded
14.3 Analysis by Issuing Authority
14.4 Analysis by Grant Application
14.5 Analysis by Funding Institute
14.6 Analysis by NIH Departments
14.7 Analysis by Recipient Organization
15 Funding and Investment Analysis
15.1 Analysis by Funding Instances
15.2 Analysis by Type of Funding
15.3 Analysis by Funding Amount
15.4 Analysis by Leading Players
15.5 Analysis by Leading Investors
15.6 Analysis by Geography
16 Partnership and Collaborations Analysis
16.1 Analysis by Partnership Instances
16.2 Analysis by Type of Partnership
16.3 Analysis by Leading Players
16.4 Analysis by Geography
17 Supplier Landscape
17.1 Accenture
17.1.1 Financial Analysis
17.1.2 Product Portfolio
17.1.3 Demographic Reach and Achievements
17.1.4 Mergers and Acquisitions
17.1.5 Certifications
17.2 Amazon Web Service
17.2.1 Financial Analysis
17.2.2 Product Portfolio
17.2.3 Demographic Reach and Achievements
17.2.4 Mergers and Acquisitions
17.2.5 Certifications
17.3 Atos
17.3.1 Financial Analysis
17.3.2 Product Portfolio
17.3.3 Demographic Reach and Achievements
17.3.4 Mergers and Acquisitions
17.3.5 Certifications
17.4 Fujitsu
17.4.1 Financial Analysis
17.4.2 Product Portfolio
17.4.3 Demographic Reach and Achievements
17.4.4 Mergers and Acquisitions
17.4.5 Certifications
17.5 Huwaei
17.5.1 Financial Analysis
17.5.2 Product Portfolio
17.5.3 Demographic Reach and Achievements
17.5.4 Mergers and Acquisitions
17.5.5 Certifications
17.6 IBM
17.6.1 Financial Analysis
17.6.2 Product Portfolio
17.6.3 Demographic Reach and Achievements
17.6.4 Mergers and Acquisitions
17.6.5 Certifications
17.7 Microsoft
17.7.1 Financial Analysis
17.7.2 Product Portfolio
17.7.3 Demographic Reach and Achievements
17.7.4 Mergers and Acquisitions
17.7.5 Certifications
17.8 Xanadu
17.8.1 Financial Analysis
17.8.2 Product Portfolio
17.8.3 Demographic Reach and Achievements
17.8.4 Mergers and Acquisitions
17.8.5 Certifications
17.9 XtalPi
17.9.1 Financial Analysis
17.9.2 Product Portfolio
17.9.3 Demographic Reach and Achievements
17.9.4 Mergers and Acquisitions
17.9.5 Certifications
18 Key Opinion Leaders (KOL) Insights (Additional Insight)
19 Company Competitiveness Analysis (Additional Insight)
19.1 Very Small Companies
19.2 Small Companies
19.3 Mid-Sized Companies
19.4 Large Companies
19.5 Very Large Companies
20 Payment Methods (Additional Insight)
20.1 Government Funded
20.2 Private Insurance
20.3 Out-of-Pocket
*Additional insights provided are customisable as per client requirements.
The market attained a value of about USD 478.8 million in 2022, driven by the emphasis on accurate and streamlined drug production and discoveries for the patients.
The market is anticipated to grow at a CAGR of 32.9% during the forecast period of 2023-2031, likely to reach a market value of USD by 6576.5 million 2031.
With the rise in chronic diseases, quality drug production has emerged as an essential field of innovation. As a result, scientists have turned towards latest technologies like quantum computing to save the time and cost of drug discoveries. This has fuelled the market growth.
The current market trend involves the prevalence of both software and hardware to facilitate effective drug production. There have been increasing investments in startups to promote new inventions.
It can be used in cardiovascular, CNS, dermatological, endocrine, gastrointestinal, immunological, musculoskeletal, infectious, oncological, and respiratory disorders, among others.
Quantum computing can help in the target identification or validation of a drug, along with hit generation, lead identification and lead optimization.
The major regions of the market include North America, Europe, Asia Pacific, Latin America, Middle East, and Africa. North America is currently leading the global market.
Key players involved in the market are Accenture, Amazon Web Service, Atos, Fujitsu, Huwaei, IBM, Microsoft, Xanadu, and XtalPi.
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