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The global quantum computing in drug discovery market was valued at USD 0.4 billion in 2023 driven by the increasing utilization of software to develop high efficacy drugs across the globe. The market is expected to grow at a CAGR of 13% during the forecast period 2024-2032 and attain a market value of USD 1.1 billion by 2032.
Quantum computing in drug discovery involves leveraging the principles of quantum mechanics to accelerate and enhance the drug discovery process. Quantum computers can solve complex problems efficiently than classical computers, making them useful in modeling molecular structures, predicting drug interactions, and optimizing lead compounds. This technology holds the potential to revolutionize drug discovery by significantly reducing the time and cost involved in bringing new drugs to market. As pharmaceutical companies increasingly adopt quantum computing, it could lead to the discovery of new therapeutic agents and personalized medicine approaches that were previously unattainable with classical computing methods. Drug discovery is the process of identifying new medications through stages such as target identification, compound discovery, testing, and trials. The goal is to develop safe and effective drugs for diseases treatment.
Quantum computing plays a vital role in drug discovery by tackling complex molecular and chemical issues that traditional computers cannot handle. It allows for accurate simulation of molecular interactions, speeding up the process of identifying potential drugs and improving understanding of disease mechanisms. Creating advanced models of intricate biological systems and improving outcome predictions can lead to decreased time and expenses in drug development.
Quantum computing is employed in drug discovery to perform molecular modeling, optimize lead compounds, and predict drug-receptor interactions. The advancements in quantum computing are transforming the pharmaceutical industry through improved drug discovery techniques. Quantum algorithms have advanced, efficiently solving increasingly complex problems. Progress in quantum hardware has improved, enabling bigger and more precise simulations. Software platforms that are easy to use are progressing by incorporating themselves into drug discovery processes. These advancements allow scientists to investigate new potential drugs and enhance current compounds with more accuracy, potentially leading to the discovery of groundbreaking treatments.
Surge Growth in Strategic Collaborations Spurs Market Growth
In February 2024, 1910 Genetics and Microsoft agreed to partner and combine robotics-driven laboratory automation with multimodal AI (artificial intelligence) models from 1910 Genetics with HPC (high-performance computing) platform Azure Quantum Elements from Microsoft. The market is experiencing growth because of partnerships among technology companies, pharmaceutical companies, and academic organizations. These collaborations promote the use of quantum computing for drug discovery by merging quantum skills with drug development expertise. This has resulted in the development of specific quantum algorithms for drug discovery and the merging of quantum computing with pharmaceutical research platforms.
Partnerships between academia and industry leaders further spur innovation by combining theoretical research with real-world implementation. These collaborations accelerate the process of developing drugs and finding new treatments. For instance, in April 2024, Qubit Pharmaceuticals partnered with PINQ² to utilize quantum computers for quicker pharmaceutical research. This collaboration signified a new phase in exploring quantum computing for drug discovery, utilizing the advanced infrastructures at PINQ².
Increased Utilization of Software to Meet Rising Quantum Computing in Drug Discovery Market Demand
Progress in quantum computing technology has resulted in the creation of advanced software tools, enabling pharmaceutical researchers to leverage quantum algorithms easily. These platforms enable the creation of intricate molecular structures, the improvement of drug candidates, and the forecast of drug-receptor interactions with enhanced precision and effectiveness. SaaS models are increasingly allowing smaller pharmaceutical companies and research institutions to access quantum computing, driving further growth in the market. In May 2024, Google DeepMind announced an AI breakthrough with AlphaFold3, which predicts protein behaviour with potential implications in antibiotics, cancer therapy, and agriculture. This advancement could illuminate the inner workings of biological systems, leading to significant advancements in various fields.
The market is witnessing several trends and developments to improve the current scenario. Some of the notable trends are as follows:
Innovation in Hardware Capabilities
Enhanced abilities allow for intricate simulations and address more significant molecular challenges essential in drug development. Businesses and research organizations are making significant investments in the development of advanced quantum processors for pharmaceutical purposes, leading to ongoing improvement in hardware functionalities.
Focus on Collaboration and Investment
Partnership and financial support from various institutions are fueling the market expansion. Significant funding from both private and public sectors is fast-tracking the use of quantum computing in drug discovery. This funding is directed towards the progression of algorithms, hardware, and the integration of quantum computing into workflows.
Advancements in Quantum Algorithm
Quantum algorithms are specifically created for intricate molecular simulations and optimization issues, enhancing their efficiency and strength. Variational quantum eigensolvers (VQE) and quantum approximate optimization algorithms (QAOA) effectively simulate chemical reactions and enhance molecular structures. Quantum algorithms are predicted to improve drug discovery abilities, resulting in novel therapeutic compounds and treatments.
Rising Preference for Precision Medicine
Precision medicine is emerging as a major market trend. Quantum computing enables in-depth simulation and examination of biological systems, resulting in tailor-made treatments. Scientists utilize quantum algorithms to mimic the impact of drugs on genetic profiles, developing personalized treatments specific to each person. It is essential for complicated illnesses that traditional techniques may not adequately address. With the progress of quantum computing, its application in precision medicine is predicted to grow, offering personalized healthcare choices.
Market Breakup by Offering
Market Breakup by Therapeutic Area
Market Breakup by End User
Market Breakup by Region
Market Segmentation Based on Offering to Witness Significant Growth
Based on offering, the market is divided into target identification/validation, hit generation/lead identification, lead optimization, and others. Target identification and validation are crucial in the initial phase of drug discovery; hence it is expected to have significant growth during the forecast period.
Quantum computing excels at facilitating accurate simulations of molecular interactions, enhancing comprehension of possible drug targets. It accurately simulates intricate biological systems, forecasting the interaction between molecules and targets. This makes drug development more efficient by focusing on the most promising targets, cutting down on time and costs during the drug discovery process.
Based on region, the market report covers North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa. North America is expected to dominate the market powered by its advanced technological infrastructure and the presence of prominent pharmaceutical companies. Investments from both the public and private sectors in quantum computing research are driving innovation, leading to successful partnerships between technology companies, academic institutions, and pharmaceutical companies.
Europe is also poised to have a significant market share supported by government backing for quantum technology research. The focus on precision medicine in the area increases the need for innovative drug discovery. The market in the Asia-Pacific region is rapidly expanding due to technological advancements and investments in pharmaceutical research. The growth of the pharmaceutical industry in the region and the emphasis on healthcare innovation are pushing for the implementation of quantum computing, which is poised to lead to substantial market expansion in the coming years.
The key features of the market report include patent analysis, grant analysis, funding, and investment analysis as well as strategic initiatives including recent partnerships and collaborations by the leading players. The major companies in the market are as follows:
IBM Corp.
IBM is a global provider of hybrid cloud and AI solutions, consulting, system hardware and software, infrastructure, hosting, and analytics, AI, automation, blockchain, cloud computing, IT management, cybersecurity, and software development services.
Microsoft Corporation
Microsoft Corp is a leading developer and provider of software, services, and devices, offering operating systems, productivity applications, server applications, software development tools, desktop and server management tools, and hardware products like PCs, tablets, and gaming consoles. They also provide cloud-based solutions and consulting services.
Rigetti Computing Inc.
Rigetti Computing, a quantum computing company based in California, builds and deploys full-stack quantum systems with superconducting qubits. They also operate Forest, a cloud platform for quantum algorithm development. Rigetti partnered with Riverlane and Astex Pharmaceuticals to use Rigetti Quantum Cloud Services for simulating molecular systems, potentially revolutionizing drug discovery in pharmaceutical research and development.
Xanadu Quantum Technologies Inc.
Xanadu Quantum Technologies, based in Toronto, Canada, creates cloud-accessible photonic quantum computers and open-source software for quantum machine learning. In January 2022, Xanadu partnered with Menten AI to develop quantum machine learning for drug discovery.
Other players in the market are 1QB Information Technologies, Inc., Alphabet Inc., Atos SE, D-Wave Systems Inc., Fujitsu Limited, Honeywell International Inc., Intel Corporation, and Quantum Brilliance Pty Ltd.
REPORT FEATURES | DETAILS |
Base Year | 2023 |
Historical Period | 2017-2023 |
Forecast Period | 2024-2032 |
Scope of the Report |
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Breakup by Therapeutic Area |
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Quantum Computing in Drug Discovery Market Size
Quantum Computing in Drug Discovery Market Growth
Quantum Computing in Drug Discovery Market Trends
Quantum Computing in Drug Discovery Market Share
Quantum Computing in Drug Discovery Market Regional Analysis
*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*
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