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市場調查報告書
商品編碼
1503379
到 2030 年的分子建模市場預測 - 按類型、組件、建模規模、應用、最終用戶和地理位置進行的全球分析Molecular Modelling Market Forecasts to 2030 - Global Analysis By Type, Component, Scale of Modelling, Application, End User and By Geography |
根據 Stratistics MRC 的數據,2024 年全球分子建模市場規模為 2.6 億美元,預計到 2030 年將達到 9.7 億美元,預測期內複合年成長率為 16.2%。分子建模是指用於研究分子的結構、性質和行為的計算技術。它涉及電腦模擬和數學模型來預測原子層面上的分子相互作用和動力學。分子建模透過提供對分子結構的深入了解,在推進科學研究方面發揮著至關重要的作用,而這些分子結構通常僅靠直接實驗觀察是無法獲得的。
根據國際糖尿病聯盟(IDF)2021年12月的報告,2021年約有5.37億20-79歲的成年人患有糖尿病,其中90%以上患有第2型糖尿病。
擴大材料科學的應用
材料科學領域的應用不斷擴大,對分子結構和行為的精確模擬的需求不斷增加,從而推動了分子建模市場的成長。這些模型透過在實驗測試之前預測新材料的特性、相互作用和反應,促進製藥、化學品和奈米技術等各個行業的研究和開發。這種預測能力可加速創新、降低成本並提高產品效率和安全性。
複雜性和解釋挑戰
分子建模的複雜性源自於影響分子行為的大量變量,例如分子間力和量子效應。這種複雜性使準確的模擬和解釋變得複雜。此外,不同的建模方法和不同的準確度等級帶來了解釋挑戰,影響藥物發現、材料科學和其他領域的可靠性和決策。因此,與硬體和軟體開發相關的高成本限制了可訪問性,阻礙了市場成長。
計算技術的進步
計算技術的進步提高了模擬的準確性和速度,使得能夠以更高的保真度研究複雜的分子交互作用。高效能運算可以分析更大的資料集和更複雜的分子結構,從而促進藥物發現、材料科學進步和個人化醫療。這些技術進步正在徹底改變製藥、生物技術和材料科學的研究,以前所未有的能力推動分子建模市場向前發展。
驗證和準確性問題
分子建模中的驗證問題包括力場、溶劑化模型和計算演算法的準確性,影響預測分子結構和相互作用的可靠性。不準確可能會誤導藥物發現工作,導致代價高昂的失敗和產品開發的延誤。這些擔憂削弱了人們對計算方法的信心,阻礙了市場採用對製藥和材料科學產業至關重要的分子建模服務和軟體解決方案。
Covid-19 影響
隨著製藥公司越來越依賴計算技術進行藥物發現和疫苗開發,covid-19 大流行加速了分子建模市場的成長。加快研究過程和盡量減少物理相互作用的需求推動了虛擬篩選和分子模擬的採用。對計算工具的需求激增推動了對分子建模領域的投資,在疫情期間和之後促進了創新並顯著擴大了其市場規模。
微觀建模領域預計在預測期內將是最大的
微觀建模領域預計將出現利潤豐厚的成長。微觀建模涉及模擬原子層級的分子結構和相互作用。它採用分子動力學和量子力學等計算技術來研究分子的能量、結構和行為等特性。透過分析這些微觀細節,研究人員可以預測分子在生物系統或材料中如何相互作用,幫助藥物發現、材料科學,並從根本上理解複雜的生化過程。
藥物發現和開發領域預計在預測期內複合年成長率最高
預計藥物發現和開發領域在預測期內將出現最快的複合年成長率。分子建模利用計算方法來設計和最佳化新的藥物化合物。它使研究人員能夠預測分子如何與生物標靶相互作用,評估其功效並最佳化其特性以獲得所需的治療效果。這種方法加速了潛在候選藥物的識別,簡化了藥物發現過程,並促進了更安全、更有效的治療方法的開發。
在亞太地區,由於製藥和生物技術領域投資的增加以及計算技術的進步,分子建模市場正在大幅成長。在研究能力不斷擴大和醫療保健支出不斷增加的推動下,中國、印度、日本和韓國等國家是主要貢獻者。該地區受益於熟練的勞動力和促進科學研究和創新的政府支持措施。此外,學術機構和產業參與者之間的合作正在促進技術進步和市場擴張。
在北美,在製藥和生物技術產業的強大推動下,分子建模市場強勁且迅速擴張。該地區受益於廣泛的研發活動、醫療保健領域的大量資金以及先進的技術基礎設施。美國和加拿大等主要國家是分子建模創新的領先中心,在藥物發現、材料科學和其他研究領域對計算技術的採用率很高。研究機構和產業參與者之間的合作進一步支持了市場的成長,確保了北美的持續進步和市場擴張。
2022 年7 月,Cadence Design Systems Inc. 簽署了收購私人公司OpenEye Scientific Software, Inc. 的最終協議。廣泛且擴大用於藥物發現。
2022 年 3 月,PerkinElmer, Inc. 發布了其 ChemDraw(R) 軟體 V21,該軟體能夠一鍵在 Microsoft(R) PowerPoint(R) 應用程式中本地導入、製作動畫和共享 3D 化學結構。全球數百萬科學家使用的工具的關鍵增強功能可幫助化學家快速輕鬆地創建更聰明的研究報告 - 改善資訊共享和協作並支援即時決策。
According to Stratistics MRC, the Global Molecular Modelling Market is accounted for $0.26 billion in 2024 and is expected to reach $0.97 billion by 2030 growing at a CAGR of 16.2% during the forecast period. Molecular modelling refers to computational techniques used to study the structure, properties, and behaviour of molecules. It involves computer simulations and mathematical models to predict molecular interactions and dynamics at atomic levels. Molecular modelling plays a crucial role in advancing scientific research by providing insights into molecular structures that are often inaccessible to direct experimental observation alone.
According to the December 2021 report of the International Diabetes Federation (IDF), about 537 million adults of age 20-79 years were living with diabetes in 2021, and more than 90% of this population have Type 2 diabetes.
Expanding applications in material science
Expanding applications in material science drive the growth of the molecular modelling market by increasing demand for accurate simulations of molecular structures and behaviours. These models facilitate research and development across various industries, such as pharmaceuticals, chemicals, and nanotechnology, by predicting properties, interactions, and reactions of new materials before experimental testing. This predictive capability accelerates innovation, reduces costs, and enhances product efficiency and safety.
Complexity and interpretation challenges
Complexity in molecular modelling arises from the vast array of variables influencing molecular behaviour, such as intermolecular forces and quantum effects. This complexity complicates accurate simulations and interpretations. Additionally, diverse modeling approaches and varying accuracy levels pose interpretation challenges, impacting reliability and decision-making in drug discovery, material science, and other fields. Consequently, high costs associated with hardware and software development limit accessibility, hindering market growth.
Advancements in computational technologies
Advancements in computational technologies enhances simulation accuracy and speed, enabling complex molecular interactions to be studied with higher fidelity. High-performance computing allows for larger datasets and more intricate molecular structures to be analyzed, facilitating drug discovery, material science advancements, and personalized medicine. These technological strides are revolutionizing research in pharmaceuticals, biotechnology, and materials science, propelling the molecular modelling market forward with unprecedented capabilities.
Validation and accuracy concerns
Validation concerns in molecular modeling include the accuracy of force fields, solvation models, and computational algorithms, impacting the reliability of predicted molecular structures and interactions. Inaccuracies can misguide drug discovery efforts, leading to costly failures and delays in product development. Such concerns undermine confidence in computational approaches, discouraging market adoption of molecular modeling services and software solutions essential for pharmaceutical and material science industries.
Covid-19 Impact
The covid-19 pandemic has accelerated the growth of the molecular modelling market as pharmaceutical companies increasingly relied on computational techniques for drug discovery and vaccine development. The need to expedite research processes and minimize physical interactions propelled the adoption of virtual screening and molecular simulations. This surge in demand for computational tools has driven investment in the molecular modelling sector, fostering innovations and expanding its market size significantly during and beyond the pandemic.
The microscopic modelling segment is expected to be the largest during the forecast period
The microscopic modelling segment is estimated to have a lucrative growth. Microscopic modelling involves simulating molecular structures and interactions at the atomic level. It employs computational techniques like molecular dynamics and quantum mechanics to study properties such as energy, structure, and behaviour of molecules. By analyzing these microscopic details, researchers can predict how molecules interact in biological systems or materials, aiding drug discovery, materials science, and understanding complex biochemical processes at a fundamental level.
The drug discovery & development segment is expected to have the highest CAGR during the forecast period
The drug discovery & development segment is anticipated to witness the fastest CAGR growth during the forecast period. Molecular modeling utilizes computational methods to design and optimize new pharmaceutical compounds. It enables researchers to predict how molecules interact with biological targets, assess their efficacy, and optimize their properties for desired therapeutic effects. This approach accelerates the identification of potential drug candidates, streamlining the drug discovery process and facilitating the development of safer and more effective treatments.
In the Asia-Pacific region, the molecular modelling market is witnessing substantial growth due to increasing investments in pharmaceutical and biotechnology sectors, coupled with advancements in computational technologies. Countries like China, India, Japan, and South Korea are key contributors, driven by expanding research capabilities and rising healthcare expenditure. The region benefits from a skilled workforce and supportive government initiatives promoting scientific research and innovation. Furthermore, collaborations between academic institutions and industry players are fostering technological advancements and market expansion.
In North America, the molecular modelling market is robust and expanding rapidly, driven by a strong presence of pharmaceutical and biotechnology industries. The region benefits from extensive research and development activities, substantial funding in healthcare, and advanced technological infrastructure. Key countries such as the United States and Canada are leading hubs for molecular modelling innovations, with a high adoption rate of computational techniques in drug discovery, material science, and other research areas. The market growth is further supported by collaborations between research organizations, and industry players, ensuring continuous advancements and market expansion in North America.
Key players in the market
Some of the key players profiled in the Molecular Modelling Market include Thermo Fisher Scientific Inc., Dassault Systems, Schrodinger, Certara, Bio-Rad Laboratories, OpenEye Scientific Software, Chemical Computing Group, Cresset, Forge Therapeutics, Cadence Design Systems Inc., PerkinElmer Inc., Molecular Networks GmbH, Genedata AG, Bioinformatics Inc., Optibrium Limited and Rosa & Co. LLC.
In July 2022, Cadence Design Systems Inc. has entered into a definitive agreement to acquire privately held OpenEye Scientific Software, Inc., a leading provider of computational molecular modeling and simulation software being widely and increasingly used by pharmaceutical and biotechnology companies for drug discovery.
In March 2022, PerkinElmer, Inc., announced V21 of its ChemDraw(R) software featuring the ability to import, animate and share 3D chemical structures natively in the Microsoft(R) PowerPoint(R) application with one click. The key enhancement, to a tool used by millions of scientists around the world, helps chemists create more intelligent research reports quickly and easily -- improving information sharing and collaboration and supporting real-time decision making.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.