市場調查報告書
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2030 年化學資訊學市場預測:按產品、應用、最終用戶和地區進行的全球分析Cheminformatics Market Forecasts to 2030 - Global Analysis By Product (Services, Software and Other Products), Application, End User and By Geography |
根據Stratistics MRC預測,2023年全球化學資訊學市場規模將達34億美元,預計2030年將達到105億美元,預測期內年複合成長率為17.5%。
化學資訊學是解決與化學相關的各種問題的電腦和資訊方法的整合。化學資訊學是各種資訊資源的融合,旨在將資料轉化為知識,將知識轉化為資訊,以便在先導藥物最佳化領域做出更好、更快的決策。製藥公司在尋找新藥時採用這些技術。這些技術也可以應用於化學和相關領域的各種其他情況。
根據 Frontiers in Chemistry 2021 年 4 月發表的報告,虛擬篩選策略徹底改變了新生物活性分子的發現。
在生技和製藥領域,我們不斷努力研發尖端藥品,開拓市場。化學資訊學軟體和技術對於改進藥物開發過程的努力至關重要。借助這些工具,研究人員可以快速查詢大型資料、模擬分子交互作用並預測潛在候選藥物的特性,從而取代通常的試驗方法,所涉及的時間和成本可以顯著減少。此外,化學資訊學可以幫助化學家發現有趣的候選藥物,了解化合物的構效關係,並改善這些分子的特性。因此,化學資訊學市場正在迅速擴大,公司正在利用這些技術來加速藥物研發,並最終推出新藥和治療方法來解決各種健康問題。我正在嘗試聯繫。
實施化學資訊學系統並獲得必要的軟體、硬體和知識可能非常昂貴,特別是對於資源有限的新興企業、學術機構和小型研究機構。對於許多潛在用戶來說,高級化學資訊學軟體的許可成本、購買強大的計算資源以及培訓員工有效利用這些工具的成本可能會成為進入障礙。持續的維護、更新和支援成本也增加了財務壓力。
毒理學化學資訊學已成為化學資訊學市場的主要驅動力,因為它在確保化學品和藥物的安全性和有效性方面發揮著至關重要的作用。由於對嚴格安全評估和法規遵循的需求不斷增加,化學資訊學技術對於預測和評估各種化學品的潛在毒理學效應至關重要。此外,這些技術使科學家能夠建模和模擬化學物質如何與生物系統相互作用。該技術在保護公眾健康和節省大量時間和資源方面發揮著重要作用。
該領域處理大量敏感的化學和生物資料,包括潛在藥物化合物、分子結構和研究結果的詳細資訊。尤其是在競爭激烈的化學和製藥行業,保護這些資料免於詐欺的存取、洩漏和盜竊是當務之急。然而,法律法規、道德考量以及研究人員遵守嚴格的資料保護法並解決隱私和智慧財產權問題的需求加劇了這些挑戰。資料外洩和不當處理可能會產生嚴重後果,包括法律後果和聲譽損害。
COVID-19大流行對化學資訊學市場產生了各種影響。同時,對快速病毒治療和疫苗接種的需求推動了化學資訊學技術在藥物開發中的使用。研究人員利用這些技術來加速藥物開發過程並檢查病毒的分子結構及其與潛在治療分子的相互作用。因此,對化學產品和服務的需求不斷增加。然而,大流行給化學資訊學領域帶來了挑戰。供應鏈中斷、實驗室關閉和研究目標的變化影響了該行業的整體運作。
在預測期內,虛擬放映部分將佔據最大佔有率。虛擬篩選是一種計算方法,使用化學資訊學領域的軟體和工具來預測和探索治療分子與特定生物標的(例如蛋白質和酵素)之間的相互作用。這使得科學家能夠虛擬評估大型化合物庫,減少需要接受額外實驗測試的候選治療藥物的數量。透過最大限度地減少必須在實驗室中製造和分析的化合物數量,該方法以更少的資金顯著加快了藥物研發流程。
由於為滿足許多領域的研究人員、化學家和科學家的需求而開發的各種專業軟體程式和工具,預計軟體產業在預測期內將表現出最高的年複合成長率。此外,這些軟體程式旨在處理和評估化學和生物資料,協助分子建模,預測化學性質,並加速新藥的研發。化學資訊學軟體包括虛擬篩選、資料視覺化和分析、化學結構資料庫和分子建模工具。
由於生物技術產業資金籌措的增加,北美在預測期內佔據了大部分市場。該地區正在加速藥物研發、新平台的發布和核准,並且是許多重要公司的所在地。例如,Dotmatics於2022年7月宣佈在美國推出小分子藥物研發服務。它是一個科學研究和開發的整合平台,具有擴展的資料管理功能和已配置的工作流程。小分子藥物研發方案可最大限度地減少業務效率低下,提高研究團隊的效率,並加速資料洞察和決策的轉變。
由於製造和勞動力成本較低以及有利的工業環境,預計亞太地區在預測期內將出現良好的成長。印度、中國和新加坡等亞太新興經濟體已成功吸引大型跨國企業參與研究。此外,亞太地區快速發展的國家的研究活動的增加預計將進一步支持成長。
According to Stratistics MRC, the Global Cheminformatics Market is accounted for $3.4 billion in 2023 and is expected to reach $10.5 billion by 2030 growing at a CAGR of 17.5% during the forecast period. Chemoinformatics is the integration of computer and informational approaches to a variety of chemistry-related problems. Chemoinformatics is the blending of various information resources with the aim of converting data into knowledge and knowledge into information in order to make better decisions rapidly in the area of drug lead optimization. Pharmaceutical companies employ these methods when seeking for new drugs. These techniques can also be applied in a variety of other contexts in the chemical and related sectors.
According to the report published by Frontiers in Chemistry in April 2021, virtual screening strategies innovated the discovery of new bioactive molecules.
The biotechnology and pharmaceutical sectors constantly strive to develop and market cutting-edge medications. Cheminformatics software and technologies are essential to this endeavor since they haveten the drug development process. With the assistance of these tools, researchers can quickly examine large data sets, model molecular interactions, and forecast the characteristics of possible drug candidates, greatly cutting down on the time and expense normally associated with trial-and-error methods. Additionally, cheminformatics helps chemists discover interesting medication candidates, comprehend the connections between the structure and activity of compounds, and improve the attributes of these molecules. As a result, the market for cheminformatics is expanding rapidly as businesses try to use these technologies to accelerate drug discovery, which will eventually result in the release of new drugs and therapies to deal with a variety of health issues.
Implementing cheminformatics systems along with acquiring the required software, hardware, and knowledge can be expensive, especially for startups, academic institutions, and smaller research organizations with limited resources. For many potential users, the expense of licensing sophisticated cheminformatics software, purchasing potent computational resources, and training employees to utilize these tools effectively might operate as a barrier to entry. Additional ongoing costs for maintenance, updates, and support also add to the financial burden.
Due to the vital role in ensuring the safety and efficacy of chemicals and pharmaceutical substances, chemical informatics for toxicology is a major driver of the cheminformatics market. Cheminformatics technologies are crucial for anticipating and assessing the potential toxicological effects of various chemical substances due to the growing demand for rigorous safety assessments and regulatory compliance. Moreover, with the aid of these technologies, scientists can model and simulate how chemicals interact with biological systems, assisting in the early identification of possible risks and their mitigation. This skill plays a crucial role in safeguarding public health as well as saving a significant amount of time and resources.
Massive amounts of sensitive and confidential chemical and biological data, including details on prospective medicinal compounds, molecular structures, and research findings, are handled within this discipline. A top priority is to protect this data from unauthorized access, breaches, or theft, especially in the fiercely competitive chemical and pharmaceutical industries. However, these difficulties get worse due to legal restrictions, ethical considerations, and the need for researchers to follow strict data protection laws and address privacy and intellectual property issues. Data breaches or improper treatment can have serious repercussions, including legal consequences and reputational harm.
The COVID-19 pandemic has had a wide range of effects on the market for cheminformatics. On the other hand, the need for rapid virus therapies and vaccinations pushed the use of cheminformatics techniques in drug development. These technologies were used by researchers to accelerate the medication development process and examine the molecular structure of the virus and its interactions with prospective therapeutic molecules. The need for chemical products and services increased as a result. The pandemic, however, caused difficulties for the cheminformatics sector. The general operations of the industry were impacted by supply chain disruptions, laboratory closures, and changes in research objectives.
Virtual Screening segment hold the largest share over the projection period. Virtual screening is a method of computing that makes use of software and tools from the field of cheminformatics to forecast and examine the interactions between possible therapeutic molecules and certain biological targets, such as proteins or enzymes. It enables scientists to virtually evaluate a vast library of chemical compounds, reducing the number of potential therapeutic candidates for additional experimental testing. By minimizing the number of compounds that must be manufactured and analyzed in the lab, this method substantially speeds up the drug discovery pipeline while using less capital.
Due to the wide variety of specialized software programs and tools developed to meet the requirements of researchers, chemists, and scientists in many sectors, the software segment is anticipated to have the highest CAGR throughout the projection period. Additionally, these software programs are made to handle and evaluate chemical and biological data, help with molecular modeling, forecast chemical properties, and speed up the creation of new drugs. Cheminformatics software includes tools for virtual screening, data visualization and analysis, chemical structure databases, and molecular modeling.
Due to growing financing in the biotechnology industry, North America held the majority of the market over the predicted period. It accelerates medication discovery, new platform releases and approvals, and the presence of numerous important firms in the area. For instance, Dotmatics introduced its small-molecule drug discovery service in the United States in July 2022. It is an integrated platform for scientific R&D that has expanded data management capabilities and workflows that are already set up. The Small Molecule Drug Discovery Solution minimizes operational inefficiencies, fosters increased research team efficiency, and hastens the conversion of data into insights and decisions.
Asia Pacific is estimated to witness lucrative growth over the forecast period due to low manufacturing and labor costs and a supportive industrial environment, some developing economies in the Asia Pacific area, including India, China, and Singapore, have attracted major multinational firms to conduct research. Additionally, it is anticipated that the increasing rate of research activity in the rapidly developing countries of the Asia-Pacific area will support growth further.
Some of the key players in Cheminformatics market include: Advanced Chemistry Development, Inc., Advent Informatics Pvt. Ltd., Agilent Technologies, Inc., Altoris, Bio-Rad Laboratories, Inc, BioSolveIT GmbH, Cambridgesoft Corp , Certara, Inc., ChemAxon Inc, Collaborative Drug Discovery Inc., Dassault Systems SE, Eidogen-Sertanty, Inc., Golden Helix, Inc., Kode Chemoinformatics, Modgraph Consultants Ltd., Molecular Discovery Ltd, Molinspiration Cheminformatics, Molsoft L.L.C, RTI International, Schrodinger, Inc. and Scilligence Corporation.
In September 2022, Cadence Design Systems, Inc. completed the acquisition of OpenEye Scientific Software, Inc. Adding OpenEye's technologies and experienced team accelerates the Cadence Intelligent System Design strategy. It is done by extending Cadence's computational software core competency to molecular modeling and simulation targeted to life sciences.
In June 2022, TetraScience, the R&D Data Cloud, stated that ChemAxon, one of the leading web-based cheminformatics and bioinformatics software providers, joined the Tetra Partner Network. It is to help customers dramatically increase their capacity to find and synthesize chemical compounds with improved property profiles.