The early stages of research related to drug discovery, including the identification of a relevant biological target and a viable lead compound, play an important role in the overall success of a drug candidate in preclinical and clinical studies. The process of drug development, beginning from the discovery of a pharmacological lead to its commercial launch, is estimated to take around 10-15 years, involving capital investments in the range of USD 4 billion - USD 10 billion. Over time, the complexities associated with drug discovery have increased, specifically, for large molecules, which are inherently more complex than small molecule drugs. In order to overcome various challenges related to drug discovery, such as rising capital requirements and failure of late-stage programs, several pharmaceutical players are currently exploring the implementation of quantum computing in drug discovery processes. Quantum computing is a process that uses laws of quantum mechanics to solve large and complex problems in a short span as compared to the computer aided drug discovery. Currently, there are several quantum computing related approaches that are being used in the drug discovery process alone, such as structure-based drug design, fragment-based drug discovery and ligand-based drug discovery. The predictive power of quantum computing has proven to reduce the complexity, cost and time investment in the overall drug discovery procedure by allowing researchers to bypass the random screening of billions of molecules in a short span of time. As a result, the pharmaceutical industry stakeholders have started relying on the players offering services for quantum computing in drug discovery. Furthermore, considering the various initiatives being undertaken actively by players based in this domain, we are led to believe that the opportunity for stakeholders in this niche, upcoming industry is likely to grow at a steady pace in the foreseen future.
Key Market Insights
The Quantum Computing in Drug Discovery Services Market: Distribution by Drug Discovery Service Offered (Target Identification / Validation, Hit Generation / Lead Identification and Lead Optimization), Therapeutic Area (Cardiovascular Disorders, CNS Disorders, Dermatological Disorders, Endocrine Disorders, Gastrointestinal Disorders, Immunological Disorders, Infectious Diseases, Musculoskeletal Disorders, Oncological Disorders, Respiratory Disorders and Others), and Key Geographical Regions (North America (US and Canada), Europe (UK, France, Germany and Rest of the Europe), Asia-Pacific (China, Japan and Rest of the Asia Pacific), Latin America and Middle East and North Africa): Industry Trends and Global Forecasts, 2023-2035 report features an extensive study of the current market landscape and future potential of quantum computing in drug discovery services market. The report highlights the efforts of several stakeholders engaged in this rapidly emerging segment of the pharmaceutical industry. The report answers many key questions related to this domain.
What is quantum computing and how does it work in drug discovery?
Quantum computing is a rapidly emerging technology that uses quantum mechanism to solve large and complex problems in a short span of time as compared to traditional computers. Presently, quantum computing is used for the discovery and development of drugs owing to its capability of screening billions of molecules for specific targets in a short span of time. This procedure reduces the complexity and helps in saving time and cost associated with the drug discovery process.
What is the current market landscape of the quantum computing market focused on drug discovery?
The current market landscape of quantum computing comprises of both software and hardware providers. Software providers claim to offer services across various types of drug discovery steps. Further, these are focused on different types of therapeutic areas, primarily including oncological disorders, infectious diseases and cardiovascular disorders. Hardware providers primarily offer hardware as a service; some of the players also offer the option of purchasing the hardware directly.
What are the key trends across grants awarded for quantum computing in drug discovery?
Currently, more than 170 grants have been awarded to various organizations, primarily focused on quantum computing in drug discovery. Further, it is important to mention that the maximum number of grants have been awarded under type 5 category.
What are the key trends in the partnerships and collaborations for quantum computing in drug discovery?
Currently, various partnerships have been inked for quantum computing in drug discovery domain. Majority of these partnerships are research and development agreements, followed by platform utilization agreements.
What are the key trends in the partnerships and collaborations for quantum computing in drug discovery?
Currently, various partnerships have been inked for quantum computing in drug discovery domain. Majority of these partnerships are research and development agreements, followed by platform utilization agreements.
Who are the players in the quantum computing in drug discovery services market?
Examples of service providers engaged in this domain (which have also been captured in this report) include (in alphabetic order) Accenture, Aurora Fine Chemicals, Amazon Web Services, Huawei, IBM, Microsoft, Fujitsu, Xanadu and XtalPi.
Scope of the Report
The study presents an in-depth analysis of the various firms / organizations that are engaged in this domain, across different segments.
The study presents an in-depth analysis, highlighting the capabilities of various stakeholders engaged in this domain, across different geographies. Amongst other elements, the report includes:
- An executive summary of the insights captured during our research. It offers a high-level view on the current state of quantum computing in drug discovery services market and its likely evolution in the short to mid and long term.
- A general overview of quantum computing in drug discovery services, along with information on its types and applications across various industries. It also highlights the applications of quantum computing, specifically related to drug discovery. Further, the chapter features a discussion on the challenges, key growth drivers, and future perspectives.
- A detailed assessment of the overall market landscape of quantum computing software providers, based on several relevant parameters, including year of establishment, company size (in terms of number of employees), location of headquarters, business capabilities (platform / software, quantum as a service, drug discovery service and in-house pipeline), platform capabilities (drug discovery, drug design, supply chain management and drug development(clinical trials)), type of drug discovery service(s) offered (target discovery / identification, target validation / selection, hit generation / identification / discovery, hit to lead / hit expansion / target to lead / lead identification / select lead series and lead optimization), type of molecule(s) supported (small molecules and large molecules), compatible computational approaches (artificial intelligence and cloud computing), end user(s) (pharmaceutical companies, contract research organizations and academic / research institutes) and therapeutic area(s) (cardiovascular disorders, infectious diseases, neurological disorders , oncological disorders and others)
- A detailed competitiveness analysis of quantum computing service providers based on company strength (in terms of years of experience), portfolio strength (in terms of type of drug discovery services offered, type of molecule(s) supported, type of computational approaches and type of end-user(s)), and portfolio diversity (in terms of business capabilities).
- Elaborate profiles of quantum computing software providers. Each profile includes a brief overview of the company, financial information (if available), details on service portfolio, recent developments and an informed future outlook.
- A detailed assessment of the overall market landscape of quantum computing hardware providers, based on several parameters including year of establishment, company size (in terms of number of employees), location of headquarters, type of offering(s) (hardware as a service and hardware for purchase), data storage on cloud and compatible computational approaches (artificial intelligence and cloud computing)
- Detailed profiles of quantum computing hardware providers. Each profile includes a brief overview of the company, financial information (if available), details on service portfolio, recent developments and an informed future outlook.
- A detailed review of over 170 academic grants focused on quantum computing in drug discovery, based on several relevant parameters, such as year of grants awarded, amount awarded, support period, type of study section, administering institute center, type of grant, activity code, funding mechanism and amount granted, funding institute and support period, prominent program officers (by number of grants), location of recipient organizations, popular recipient organizations, organization type and amount granted to popular recipient.
- A detailed analysis of recent partnerships inked between stakeholders engaged in this domain, since 2017, based on several relevant parameters, such as year of partnership, type of partnership, most active players (in terms of number of partnerships), and regional distribution of partnership activity in this domain.
- A use case study highlighting the applications of quantum computing across various industries, such as chemical industry, cybersecurity, financial modeling, space sciences, oil and gas industry and weather forecasting, and its likely evolution in the foreseen future.
- A qualitative analysis, highlighting the five competitive forces prevalent in this domain, including threats for new entrants, bargaining power of buyers, bargaining power of suppliers, threats of substitute product and rivalry among existing competitors.
- A detailed analysis of the current and future market based on blue ocean strategy, covering a strategic plan / guide for emerging players in this domain to help unlock an uncontested market, featuring thirteen strategic tools that can help software providers to shift towards a blue ocean strategic market.
One of the key objectives of the report was to estimate the current opportunity and future growth potential of quantum computing in drug discovery services market over the coming years. We have provided informed estimates on the likely evolution of the market for the period, 2023-2035. Our year-wise projections of the current and future opportunity have further been segmented based on relevant parameters, such as drug discovery services offered (target identification / validation, hit generation / lead identification and lead optimization), therapeutic area (cardiovascular disorders, CNS disorders, dermatological disorders, endocrine disorders, gastrointestinal disorders, immunological disorders, infectious diseases, musculoskeletal disorders, oncological disorders, respiratory disorders and others), and key geographical regions ((North America (US and Canada), Europe (UK, France, Germany and Rest of the Europe), Asia-Pacific (China, Japan and Rest of the Asia Pacific), Latin America and Middle East and North Africa). In order to account for future uncertainties associated with some of the key parameters and to add robustness to our model, we have provided three market forecast scenarios, namely conservative, base, and optimistic scenarios, representing different tracks of the industry’s evolution.
The opinions and insights presented in the report were influenced by discussions held with stakeholders in this domain. The report features detailed transcripts of interviews held with the industry stakeholders.
All actual figures have been sourced and analyzed from publicly available information forums and primary research discussions. Financial figures mentioned in this report are in USD, unless otherwise specified.
Frequently Asked Questions
Question 1: What is the growth rate of quantum computing market focusing on drug discovery?
Answer: The global quantum computing market focusing on drug discovery is expected to grow at an annualized rate of 14% from 2023 to 2035.
Question 2: Which region is likely to hold the largest share in the quantum computing market focused on drug discovery?
Answer: North America is anticipated to capture the highest market share by 2035. In addition, the market in Asia-Pacific is likely to grow at a relatively faster pace, in the long term.
Question 3: Which type of service providers are most likely to dominate the quantum computing market for drug discovery?
Answer: Currently, software providers hold the largest share in the quantum computing in drug discovery services market; this is followed by hardware providers.
Question 4: What kind of partnership models are most commonly being adopted by stakeholders engaged in this domain?
Answer: Research and development agreements emerged as the most popular type of partnership model adopted by players engaged in offering quantum computing services for drug discovery. This is followed by platform utilization agreements.
Please note: This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website.
Table of Contents
1. PREFACE
1.1. Introduction
1.2. Key Market Insights
1.3. Scope of the Report
1.4. Research Methodology
1.5. Frequently Asked Questions
1.6. Chapter Outlines
2. EXECUTIVE SUMMARY
3. INTRODUCTION
3.1. Overview of Quantum Computing in Drug Discovery
3.2. Drug Discovery and Development Timeline
3.3. Historical Evolution of Computational Drug Discovery Approaches
3.4. Classification of Quantum Computing Approaches
3.5. Applications of Quantum Computing in Drug Discovery Process
3.6. Advantages of Quantum Computing in Drug Discovery
3.7. Challenges Associated with Quantum Computing in Drug Discovery
3.8. Future Perspectives
4. MARKET LANDSCAPE: SOFTWARE PROVIDERS
4.1. Quantum Computing Software Providers: Overall Market Landscape
4.1.1. Analysis by Year of Establishment
4.1.2. Analysis by Company Size
4.1.3. Analysis by Location of Headquarters
4.1.4. Analysis by Business Capabilities
4.1.5. Analysis by Platform Capabilities
4.1.6. Analysis by Type of Drug Discovery Service(s) Offered
4.1.7. Analysis by Type of Molecule(s) Supported
4.1.8. Analysis by Compatible Computational Approaches
4.1.9. Analysis by End User(s)
4.1.10. Analysis by Therapeutic Area(s)
5. COMPANY COMPETITIVENESS ANALYSIS
5.1. Methodology and Key Parameters
5.2 Scoring Criteria
5.3. Company Competitiveness Analysis: Players based in North America (Peer Group I)
5.4. Company Competitiveness Analysis: Players based in Europe (Peer Group II)
5.5. Company Competitiveness Analysis: Players based in Asia-Pacific and Rest of the World (Peer Group III)
6. COMPANY PROFILES: SOFTWARE PROVIDERS
6.1. Accenture
6.1.1. Company Overview
6.1.2. Financial Information
6.1.3. Service Portfolio
6.1.4. Recent Developments and Future Outlook
6.2. Atos
6.2.1. Company Overview
6.2.2. Financial Information
6.2.3. Service Portfolio
6.2.4. Recent Developments and Future Outlook
6.3. Fujitsu
6.3.1. Company Overview
6.3.2. Financial Information
6.3.3. Service Portfolio
6.3.4. Recent Developments and Future Outlook
6.4. Huawei
6.4.1. Company Overview
6.4.2. Financial Information
6.4.3. Service Portfolio
6.4.4. Recent Developments and Future Outlook
6.5. Microsoft
6.5.1. Company Overview
6.5.2. Financial Information
6.5.3. Service Portfolio
6.5.4. Recent Developments and Future Outlook
6.6. Xanadu
6.6.1. Company Overview
6.6.2. Service Portfolio
6.6.3. Recent Developments and Future Outlook
6.7. XtalPi
6.7.1. Company Overview
6.7.2. Service Portfolio
6.7.3. Recent Developments and Future Outlook
7. MARKET LANDSCAPE: HARDWARE PROVIDERS
7.1. Quantum Computing Hardware Providers: Overall Market Landscape
7.1.1. Analysis by Year of Establishment
7.1.2. Analysis by Company Size
7.1.3. Analysis by Region of Headquarters
7.1.4. Analysis by Location of Headquarters
7.1.5. Analysis by Type of Offering(s)
7.1.6. Analysis by Data Storage on Cloud
7.1.7. Analysis by Compatible Computational Approaches
7.1.8. Analysis by Type of Offering(s) and Compatible Computational Approaches
8. COMPANY PROFILES: HARDWARE PROVIDERS
8.1. Amazon Web Services
8.1.1. Company Overview
8.1.2. Financial Information
8.1.3. Service Portfolio
8.1.4. Recent Developments and Future Outlook
8.2. IBM
8.2.1. Company Overview
8.2.2. Financial Information
8.2.3. Service Portfolio
8.2.4. Recent Developments and Future Outlook
8.3. Microsoft
8.3.1. Company Overview
8.3.2. Financial Information
8.3.3. Service Portfolio
8.3.4. Recent Developments and Future Outlook
9. ACADEMIC GRANTS ANALYSIS
9.1. Analysis Methodology
9.2. Key Parameters
9.3. Analysis by Year of Grant
9.4. Analysis by Amount Awarded
9.5. Analysis by Support Period
9.6. Analysis by Study Section
9.7. Word Cloud Analysis: Emerging Focus Areas
9.8. Analysis by Administering Institute Center
9.9. Analysis by Type of Grant
9.10. Analysis by Activity Code
9.11. Analysis by Purpose of Grant
9.12. Analysis by Administering Institute Center and Support Period
9.13. Prominent Program Officers: Analysis by Number of Grants
9.14. Analysis by Location of Recipient Organizations
9.15. Analysis by Type of Organization
9.16. Popular Recipient Organizations: Analysis by Number of Grants
9.17. Popular Recipient Organizations: Analysis by Amount Awarded
10. PARTNERSHIPS AND COLLABORATIONS
10.1. Partnership Models
10.2. Quantum Computing in Drug Discovery, Drug Manufacturing and Other Services: Partnerships and Collaborations
10.3. Analysis by Year of Partnership
10.4. Analysis by Type of Partnership
10.5. Analysis by Year and Type of Partnership
10.6. Most Active Players: Analysis by Number of Partnerships
10.7. Word Cloud Analysis: Key Focus Areas
10.8. Analysis by Type of Continent
10.9. Analysis by Company Size and Type of Partnership
10.10. Local and Intercontinental Agreements
10.11. Intercontinental and Intracontinental Agreements
11. USE CASE STUDY
11.1. Overview of Quantum Computing
11.2. Applications of Quantum Computing Across Various Industries
11.3. Upcoming Trends in Quantum Computing
11.4. Future Perspectives
12. PORTER’S FIVE FORCES ANALYSIS
12.1. Methodology and Assumptions
12.2. Key Parameters
12.2.1. Threats of New Entrants
12.2.2. Bargaining Power of Buyers
12.2.3. Bargaining Power of Suppliers
12.2.4. Threats of Substitute Products
12.2.5. Rivalry among Existing Competitors
13. BLUE OCEAN STRATEGY: A STRATEGIC GUIDE FOR START-UPS TO ENTER INTO HIGHLY COMPETITIVE MARKET
13.1. Overview of Blue Ocean Strategy
13.1.1 Red Oceans
13.1.2 Blue Oceans
13.1.3 Comparison of Red Ocean Strategy and Blue Ocean Strategy
13.1.4. Quantum Computing in Drug Discovery Services Market: Blue Ocean Strategy and Shift Tools
13.1.4.1. Value Innovation
13.1.4.2. Strategy Canvas
13.1.4.3. Four Action Framework
13.1.4.4. Eliminate-Raise-Reduce-Create (ERRC) Grid
13.1.4.5. Six Path Framework
13.1.4.6. Pioneer-Migrator-Settler (PMS) Map
13.1.4.7. Three Tiers of Non-customers
13.1.4.8. Sequence of Blue Ocean Strategy
13.1.4.9. Buyer Utility Map
13.1.4.10. The Price Corridor of the Mass
13.1.4.11. Four Hurdles to Strategy Execution
13.1.4.12. Tipping Point Leadership
13.1.4.13. Fair Process
14. MARKET SIZING AND OPPORTUNITY ANALYSIS
14.1. Forecast Methodology and Key Assumptions
14.2. Quantum Computing in Drug Discovery Services Market, 2023-2035
14.2.1. Quantum Computing in Drug Discovery Services Market, 2023-2035: Analysis by Type of Drug Discovery Service Offered
14.2.1.1. Quantum Computing in Drug Discovery Services Market for Target Identification / Validation, 2023-2035
14.2.1.2. Quantum Computing in Drug Discovery Services Market for Hit Generation / Lead Identification, 2023-2035
14.2.1.3. Quantum Computing in Drug Discovery Services Market for Target Lead Optimization, 2023-2035
14.2.2. Quantum Computing in Drug Discovery Services Market, 2023-2035: Analysis by Therapeutic Area
14.2.2.1. Quantum Computing in Drug Discovery Services Market for Cardiovascular Disorders, 2023-2035
14.2.2.2. Quantum Computing in Drug Discovery Services Market for CNS Disorders, 2023-2035
14.2.2.3. Quantum Computing in Drug Discovery Services Market for Dermatological Disorders, 2023-2035
14.2.2.4. Quantum Computing in Drug Discovery Services Market for Endocrine Disorders, 2023-2035
14.2.2.5. Quantum Computing in Drug Discovery Services Market for Gastrointestinal Disorders, 2023-2035
14.2.2.6. Quantum Computing in Drug Discovery Services Market for Immunological Disorders, 2023-2035
14.2.2.7. Quantum Computing in Drug Discovery Services Market for Infectious Diseases, 2023-2035
14.2.2.8. Quantum Computing in Drug Discovery Services Market for Musculoskeletal Disorders, 2023-2035
14.2.2.9. Quantum Computing in Drug Discovery Services Market for Oncological Disorders, 2023-2035
14.2.2.10. Quantum Computing in Drug Discovery Services Market for Respiratory Disorders, 2023-2035
14.2.2.11. Quantum Computing in Drug Discovery Services Market for Others, 2023-2035
14.2.3. Quantum Computing in Drug Discovery Services Market, 2023-2035: Analysis by Key Geographical Regions
14.2.3.1. Quantum Computing in Drug Discovery Services Market in North America, 2023-2035
14.2.3.1.1. Quantum Computing in Drug Discovery Services Market in the US, 2023-2035
14.2.3.1.2. Quantum Computing in Drug Discovery Services Market in Canada, 2023-2035
14.2.3.2. Quantum Computing in Drug Discovery Services Market for Europe, 2023-2035
14.2.3.2.1. Quantum Computing in Drug Discovery Services Market in the UK, 2023-2035
14.2.3.2.2. Quantum Computing in Drug Discovery Services Market in France, 2023-2035
14.2.3.1.3. Quantum Computing in Drug Discovery Services Market in Germany, 2023-2035
14.2.3.1.4. Quantum Computing in Drug Discovery Services Market in Rest of the Europe, 2023-2035
14.2.3.3. Quantum Computing in Drug Discovery Services Market in Asia-Pacific, 2023-2035
14.2.3.3.1. Quantum Computing in Drug Discovery Services Market in China, 2023-2035
14.2.3.3.2. Quantum Computing in Drug Discovery Services Market in Japan, 2023-2035
14.2.3.3.3. Quantum Computing in Drug Discovery Services Market in Rest of Asia-Pacific, 2023-2035
14.2.3.4. Quantum Computing in Drug Discovery Services Market in Latin America, 2023-2035
14.2.3.5. Quantum Computing in Drug Discovery Services Market in Middle East and North Africa, 2023-2035
15. EXECUTIVE INSIGHTS
16. APPENDIX 1: TABULATED DATA
17. APPENDIX 2: LIST OF COMPANIES AND ORGANIZATIONS
List Of Figures
Figure 4.1 Quantum Computing Software Providers: Distribution by Year of Establishment
Figure 4.2 Quantum Computing Software Providers: Distribution by Company Size
Figure 4.3 Quantum Computing Software Providers: Distribution by Location of Headquarters
Figure 4.4 Quantum Computing Software Providers: Distribution by Business Capabilities
Figure 4.5 Quantum Computing Software Providers: Distribution by Platform Capabilities
Figure 4.6 Quantum Computing Software Providers: Distribution by Type of Drug Discovery Service(s) Offered
Figure 4.7 Quantum Computing Software Providers: Distribution by Type of Molecule(s) Supported
Figure 4.8 Quantum Computing Software Providers: Distribution by Compatible Computational Approaches
Figure 4.9 Quantum Computing Software Providers: Distribution by End user(s)
Figure 4.10 Quantum Computing Software Providers: Distribution by Therapeutic Area(s)
Figure 5.1 Company Competitiveness Analysis: Players based in North America (Peer Group I)
Figure 5.2 Company Competitiveness Analysis: Players based in Europe (Peer Group II)
Figure 5.3 Company Competitiveness Analysis: Players based in Asia-Pacific and Rest of the World (Peer Group III)
Figure 6.1 Accenture: Revenues in USD Billion (FY 2017-FY 2022)
Figure 6.2 Atos: Revenues in EUR Billion (FY 2017- FY 9M 2022)
Figure 6.3 Fujitsu: Revenues in Yen Billion (FY 2017-FY H1 2022)
Figure 6.4 Huawei: Revenues in CNY Billion (FY 2017-FY 9M 2022)
Figure 6.5 Microsoft: Revenues in USD Billion (FY 2017-FY 2022)
Figure 7.1 Quantum Computing Hardware Providers: Distribution by Year of Establishment
Figure 7.2 Quantum Computing Hardware Providers: Distribution by Company Size
Figure 7.3 Quantum Computing Hardware Providers: Distribution by Region of Headquarters
Figure 7.4 Quantum Computing Hardware Providers: Distribution by Location of Headquarters
Figure 7.5 Quantum Computing Hardware Providers: Distribution by Type of Offering(s)
Figure 7.6 Quantum Computing Hardware Providers: Distribution by Data Storage on Cloud
Figure 7.6 Quantum Computing Hardware Providers: Distribution by Compatible Computational Approaches
Figure 7.7 Quantum Computing Hardware Providers: Distribution by Type of Offering(s) and Compatible Computational Approaches
Figure 8.1 Amazon Web Services: Revenues in USD Billion (FY 2017- FY 9M 2022)
Figure 8.2 Amazon Web Services: Service Portfolio
Figure 8.3 IBM: Revenues in USD Billion (FY 2017- FY 9M 2022)
Figure 8.4 IBM: Service Portfolio
Figure 8.5 Microsoft: Revenues in USD Billion (FY 2017- FY 2022)
Figure 8.6 Microsoft: Service Portfolio
Figure 9.1 Academic Grants Analysis: Distribution by Year of Grant
Figure 9.2 Academic Grants Analysis: Distribution by Amount Awarded
Figure 9.3 Academic Grants Analysis: Distribution by Support Period
Figure 9.4 Academic Grants Analysis: Distribution by Study Section
Figure 9.5 Word Cloud Analysis: Emerging Focus Areas
Figure 9.6 Academic Grants Analysis: Distribution by Administrating Institute Center
Figure 9.7 Academic Grants Analysis: Distribution by Type of Grant
Figure 9.8 Academic Grants Analysis: Distribution by Activity Code
Figure 9.9 Academic Grants Analysis: Distribution by Purpose of Grant
Figure 9.10 Academic Grants Analysis: Distribution by Funding Institute Center and Support Period
Figure 9.11 Prominent Program Officers: Distribution by Number of Grants
Figure 9.12 Academic Grants Analysis: Distribution by Location of Recipient Organizations
Figure 9.13 Academic Grants Analysis: Distribution by Type of Organization
Figure 9.14 Popular Recipient Organizations: Analysis by Number of Grants
Figure 9.15 Popular Recipient Organizations: Analysis by Amount Awarded
Figure 10.1 Partnerships and Collaborations: Cumulative Year-wise Trend
Figure 10.2 Partnerships and Collaborations: Distribution by Type of Partnership
Figure 10.3 Partnerships and Collaborations: Distribution by Year and Type of Partnership
Figure 10.4 Most Active Players: Distribution by Number of Partnerships
Figure 10.5 Word Cloud Analysis: Emerging Focus Areas
Figure 10.6 Partnerships and Collaborations: Distribution by Type of Continent
Figure 10.7 Partnerships and Collaborations: Distribution by Company Size and Type of Partnership
Figure 10.8 Partnerships and Collaborations: Local and International Agreements
Figure 10.9 Partnerships and Collaborations: Intercontinental and Intracontinental Agreements
Figure 10.10 Partnerships and Collaborations: Key Value Drivers
Figure 12.1 Porter’s Five Forces: Key Parameters
Figure 12.2 Porter’s Five Forces: Harvey Ball Analysis
Figure 13.1 Blue Ocean Strategy: Strategy Canvas
Figure 13.2 Blue Ocean Strategy: Pioneer-Migrator-Settler (PMS) Map
Figure 14.1 Quantum Computing in Drug Discovery Services Market, 2023-2035 (USD Million)
Figure 14.2 Quantum Computing in Drug Discovery Services Market, 2023 and 2035: Distribution by Type of Drug Discovery Service Offered
Figure 14.3 Quantum Computing in Drug Discovery Services Market for Target Identification / Validation, 2023-2035 (USD Million)
Figure 14.4 Quantum Computing in Drug Discovery Services Market for Hit Generation / Lead Identification, 2023-2035 (USD Million)
Figure 14.5 Quantum Computing in Drug Discovery Services Market for Target Lead Optimization, 2023-2035 (USD Million)
Figure 14.6 Quantum Computing in Drug Discovery Services Market, 2023 and 2035: Distribution by Therapeutic Area
Figure 14.7 Quantum Computing in Drug Discovery Services Market for Cardiovascular Disorders, 2023-2035 (USD Million)
Figure 14.8 Quantum Computing in Drug Discovery Services Market for CNS Disorders, 2023-2035 (USD Million)
Figure 14.9 Quantum Computing in Drug Discovery Services Market for Dermatological Disorders, 2023-2035 (USD Million)
Figure 14.10 Quantum Computing in Drug Discovery Services Market for Endocrine Disorders, 2023-2035 (USD Million)
Figure 14.11 Quantum Computing in Drug Discovery Services Market for Gastrointestinal Disorders, 2023-2035 (USD Million)
Figure 14.12 Quantum Computing in Drug Discovery Services Market for Immunological Disorders, 2023-2035 (USD Million)
Figure 14.13 Quantum Computing in Drug Discovery Services Market for Infectious Diseases, 2023-2035 (USD Million)
Figure 14.14 Quantum Computing in Drug Discovery Services Market for Musculoskeletal Disorders, 2023-2035 (USD Million)
Figure 14.15 Quantum Computing in Drug Discovery Services Market for Oncological Disorders, 2023-2035 (USD Million)
Figure 14.16 Quantum Computing in Drug Discovery Services Market for Respiratory Disorders, 2023-2035 (USD Million)
Figure 14.17 Quantum Computing in Drug Discovery Services Market for Others, 2023-2035 (USD Million)
Figure 14.18 Quantum Computing in Drug Discovery Services Market, 2023 and 2035: Distribution by Key Geographical Regions
Figure 14.19 Quantum Computing in Drug Discovery Services Market in North America, 2023-2035 (USD Million)
Figure 14.20 Quantum Computing in Drug Discovery Services Market in the US, 2023-2035 (USD Million)
Figure 14.21 Quantum Computing in Drug Discovery Services Market in Canada, 2023-2035 (USD Million)
Figure 14.22 Quantum Computing in Drug Discovery Services Market for Europe, 2023-2035 (USD Million)
Figure 14.23 Quantum Computing in Drug Discovery Services Market in the UK, 2023-2035 (USD Million)
Figure 14.24 Quantum Computing in Drug Discovery Services Market in France, 2023-2035 (USD Million)
Figure 14.25 Quantum Computing in Drug Discovery Services Market in Germany, 2023-2035 (USD Million)
Figure 14.26 Quantum Computing in Drug Discovery Services Market in Rest of the Europe, 2023-2035 (USD Million)
Figure 14.27 Quantum Computing in Drug Discovery Services Market in Asia-Pacific, 2023-2035 (USD Million)
Figure 14.28 Quantum Computing in Drug Discovery Services Market in China, 2023-2035 (USD Million)
Figure 14.29 Quantum Computing in Drug Discovery Services Market in Japan, 2023-2035 (USD Million)
Figure 14.30 Quantum Computing in Drug Discovery Services Market in Rest of Asia-Pacific, 2023-2035 (USD Million)
Figure 14.31 Quantum Computing in Drug Discovery Services Market in Latin America, 2023-2035 (USD Million)
Figure 14.32 Quantum Computing in Drug Discovery Services Market in Middle East and North Africa, 2023-2035 (USD Million)
List Of Tables
Table 4.1 List of Quantum Computing Software Providers
Table 6.1 Accenture: Service Portfolio
Table 6.2 Accenture: Recent Developments and Future Outlook
Table 6.3 Atos: Service Portfolio
Table 6.4 Atos: Recent Developments and Future Outlook
Table 6.5 Fujitsu: Service Portfolio
Table 6.6 Fujitsu: Recent Developments and Future Outlook
Table 6.7 Huawei: Service Portfolio
Table 6.8 Huawei: Recent Developments and Future Outlook
Table 6.9 Microsoft: Service Portfolio
Table 6.10 Microsoft: Recent Developments and Future Outlook
Table 6.11 Xanadu: Service Portfolio
Table 6.12 Xanadu: Recent Developments and Future Outlook
Table 6.13 XtalPi: Service Portfolio
Table 6.14 XtalPi: Recent Developments and Future Outlook
Table 7.1 List of Quantum Computing Hardware Providers
Table 8.1 Amazon Web Services: Recent Developments and Future Outlook
Table 8.2 IBM: Recent Developments and Future Outlook
Table 8.3 Microsoft: Recent Developments and Future Outlook
Table 10.1 Quantum Computing in Drug Discovery Services: List of Partnerships and Collaborations
Table 16.1 Quantum Computing Software Providers: Distribution by Year of Establishment
Table 16.2 Quantum Computing Software Providers: Distribution by Company Size
Table 16.3 Quantum Computing Software Providers: Distribution by Location of Headquarters
Table 16.4 Quantum Computing Software Providers: Distribution by Business Capabilities
Table 16.5 Quantum Computing Software Providers: Distribution by Platform Capabilities
Table 16.6 Quantum Computing Software Providers: Distribution by Type of Drug Discovery Service(s) Offered
Table 16.7 Quantum Computing Software Providers: Distribution by Type of Molecule(s) Supported
Table 16.8 Quantum Computing Software Providers: Distribution by Type Compatible Computational Approaches
Table 16.9 Quantum Computing Software Providers: Distribution by End user(s)
Table 16.10 Quantum Computing Software Providers: Distribution by Therapeutic Area(s)
Table 16.11 Accenture: Revenues in USD Billion (FY 2017-FY 2022)
Table 16.12 Atos: Revenues in EUR Billion (FY 2017-FY 9M 2022)
Table 16.13 Fujitsu: Revenues in Yen Billion (FY 2017-FY H1 2022)
Table 16.14 Huawei: Revenues in CNY Billion (FY 2017-FY 9M 2022)
Table 16.15 Microsoft: Revenues in USD Billion (FY 2017-FY 2022)
Table 16.16 Quantum Computing Hardware Providers: Distribution by Year of Establishment
Table 16.17 Quantum Computing Hardware Providers: Distribution by Company Size
Table 16.18 Quantum Computing Hardware Providers: Distribution by Region of Headquarters
Table 16.19 Quantum Computing Hardware Providers: Distribution by Location of Headquarters
Table 16.20 Quantum Computing Hardware Providers: Distribution by Type of Offering(s)
Table 16.21 Quantum Computing Hardware Providers: Distribution by Data Storage on Cloud
Table 16.22 Quantum Computing Hardware Providers: Distribution by Compatible Computational Approaches
Table 16.23 Quantum Computing Hardware Providers: Distribution by Type of offering(s) and Compatible Computational Approaches
Table 16.24 Amazon Web Services: Revenues in USD Billion (FY 2017- FY 9M 2022)
Table 16.25 IBM: Revenues in USD Billion (FY 2017- FY 9M 2022)
Table 16.26 Microsoft: Revenues in USD Billion (FY 2017-FY 2022)
Table 16.27 Academic Grants Analysis: Distribution by Year of Grant
Table 16.28 Academic Grants Analysis: Distribution by Amount Awarded
Table 16.29 Academic Grants Analysis: Distribution by Support Period
Table 16.30 Academic Grants Analysis: Distribution by Study Section
Table 16.31 Academic Grants Analysis: Distribution by Administrating Institute Center
Table 16.32 Academic Grants Analysis: Distribution by Type of Grant
Table 16.33 Academic Grants Analysis: Distribution by Activity Code
Table 16.34 Academic Grants Analysis: Distribution by Purpose of Grant
Table 16.35 Academic Grants Analysis: Distribution by Administering Institute Center and Support Period
Table 16.36 Prominent Program Officers: Distribution by Number of Grants
Table 16.37 Academic Grants Analysis: Distribution by Location of Organizations
Table 16.38 Academic Grants Analysis: Distribution by Type of Organization
Table 16.39 Popular Recipient Organizations: Analysis by Number of Grants
Table 16.40 Popular Recipient Organizations: Analysis by Amount Awarded
Table 16.41 Partnerships and Collaborations: Distribution by Year
Table 16.42 Partnerships and Collaborations: Distribution by Type of Partnership
Table 16.43 Partnerships and Collaborations: Distribution by Year and Type of Partnership
Table 16.44 Most Active Players: Distribution by Number of Partnerships
Table 16.45 Partnerships and Collaborations: Distribution by Type of Continent
Table 16.46 Partnerships and Collaborations: Distribution by Company Size and Type of Partnership
Table 16.47 Partnerships and Collaborations: Local and International Agreements
Table 16.48 Partnerships and Collaborations: Intercontinental and Intracontinental Agreements
Table 16.49 Quantum Computing in Drug Discovery Services Market, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.50 Quantum Computing in Drug Discovery Services Market, 2023 and 2035: Distribution by Type of Drug Discovery Service Offered
Table 16.51 Quantum Computing in Drug Discovery Services Market for Target Identification / Validation, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.52 Quantum Computing in Drug Discovery Services Market for Hit Generation / Lead Identification, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.53 Quantum Computing in Drug Discovery Services Market for Target Lead Optimization, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.54 Quantum Computing in Drug Discovery Services Market, 2023 and 2035: Distribution by Therapeutic Area
Table 16.55 Quantum Computing in Drug Discovery Services Market for Cardiovascular Disorders, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.56 Quantum Computing in Drug Discovery Services Market for CNS Disorders, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.57 Quantum Computing in Drug Discovery Services Market for Dermatological Disorders, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.58 Quantum Computing in Drug Discovery Services Market for Endocrine Disorders, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.59 Quantum Computing in Drug Discovery Services Market for Gastrointestinal Disorders, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.60 Quantum Computing in Drug Discovery Services Market for Immunological Disorders, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.61 Quantum Computing in Drug Discovery Services Market for Infectious Diseases, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.62 Quantum Computing in Drug Discovery Services Market for Musculoskeletal Disorders, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.63 Quantum Computing in Drug Discovery Services Market for Oncological Disorders, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.64 Quantum Computing in Drug Discovery Services Market for Respiratory Disorders, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.65 Quantum Computing in Drug Discovery Services Market for Others, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.66 Quantum Computing in Drug Discovery Services Market, 2023 and 2035: Distribution by Key Geographical Regions
Table 16.67 Quantum Computing in Drug Discovery Services Market in North America, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.68 Quantum Computing in Drug Discovery Services Market in the US, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.69 Quantum Computing in Drug Discovery Services Market in Canada, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.70 Quantum Computing in Drug Discovery Services Market for Europe, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.71 Quantum Computing in Drug Discovery Services Market in the UK, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.72 Quantum Computing in Drug Discovery Services Market in France, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.73 Quantum Computing in Drug Discovery Services Market in Germany, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.74 Quantum Computing in Drug Discovery Services Market in Rest of the Europe, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.75 Quantum Computing in Drug Discovery Services Market in Asia-Pacific, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.76 Quantum Computing in Drug Discovery Services Market in China, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.77 Quantum Computing in Drug Discovery Services Market in Japan, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.78 Quantum Computing in Drug Discovery Services Market in Rest of Asia-Pacific, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.79 Quantum Computing in Drug Discovery Services Market in Latin America, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Table 16.80 Quantum Computing in Drug Discovery Services Market in Middle East and North Africa, 2023-2035: Scenario I, Scenario II and Scenario III (USD Million)
Companies Mentioned
- 1QBit
- Accenture
- Albert Einstein College of Medicine
- Algorithmiq
- Alibaba
- Aliro Quantum
- Allesh Biosciences Lab
- Alzheimer's Research UK University College London Drug Discovery Institute
- Amazon Web Services
- Amgen
- Anyon Systems
- ApexQubit
- Aqemia
- Astex Pharmaceuticals
- AstraZeneca
- Atos
- Auransa
- Aurora Fine Chemicals
- Automatski
- Biogen
- Bleximo
- Boehringer Ingelheim
- Brigham and Women’s Hospital
- C4X Discovery Holdings
- Cambridge Quantum
- ChemAlive
- Cineca
- Cisco
- Cleveland Clinic
- Cloud Pharmaceuticals
- Conifer Point (Acquired by Lodo Therapeutics)
- CreativeQuantum
- Crown Biosciences International (Acquired by JSR Life Sciences)
- Denovicon Therapeutics
- D-wave
- DXC Technology
- Entropica Labs
- Envisagenics
- FAR Biotech
- Fujitsu
- Good Chemistry
- GTN
- Hafnium Labs
- Hewlett Packard Enterprise (HPE)
- Hypertrust Patient Data Care (HPDC)
- Honeywell
- Hybrid Quantum Architectures and Networks
- IBM
- Iktos
- Indian Institute of Technology, Madras
- Infosys
- IonQ
- IQM
- Janssen Pharmaceuticals
- Kuano
- Kynogen
- Menten AI
- Ministry of Electronics and Information Technology
- Molecular Quantum Solutions
- Multiverse
- National Heart, Lungs and Blood Institute (NHLBI)
- National Institute of Health
- Netramark (Acquired by Nurosene Health)
- NVIDIA
- Osaka University
- OVHcloud
- Oxford Quantum Circuits (OQC)
- Pacific Northwest National Laboratory (PNNL)
- PASQAL
- Pfizer
- Pharmacelera
- PharmCADD
- PhoreMost
- PiDust
- Polaris Quantum Biotech
- Profacgen
- ProteinQure
- QC Ware
- QpiAI
- QRDLab
- QSimulate
- Qu&Co
- Quantinuum
- Quantum Brilliance
- Qubit Pharmaceuticals
- Quantronics Laboratory (QuLab)
- Qunova Computing
- Rescale
- Rigetti Computing
- RIKEN
- Riverlane
- Roche
- Roivant Discovery
- Sanofi
- SAP
- SEEQC
- Servier
- Siemens
- SpinQ
- StationQ (Subsidiary of Microsoft
- Tata Consultancy Services
- Terra Quantum
- Texas A&M AgriLife Research
- Toshiba
- UCL Quantum Science and Technology Institute
- University of Bristol Quantum Information Institute
- University of California
- University of Chicago
- University of Illinois
- University of North Carolina System (UNC)
- University of Notre Dame
- University of Ottawa
- Xanadu
- XtalPi
- Zapata Computing
Methodology
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