市場調查報告書
商品編碼
1494876
到 2030 年科學資料管理系統的市場預測:按組件、部署類型、組織規模、最終用戶和區域進行全球分析Scientific Data Management System Market Forecasts to 2030 - Global Analysis By Component (Hardware, Software and Services), Deployment Mode, Organization Size, End User and By Geography |
根據 Stratistics MRC 的數據,2024 年全球科學資料管理系統市場規模為 1.61 億美元,預計到 2030 年將達到 15.666 億美元,預測期內複合年成長率為 46.1%。
科學資料管理系統 (SDMS) 是一個整合平台,旨在有效管理、儲存和搜尋科學資料。促進實驗室產生的大量資料的無縫收集、處理和共用,確保資料和可存取性。 SDMS 的主要功能包括從各種裝置資料擷取、元資料註釋以及對多種資料格式的支援。它還具有強大的搜尋功能、版本控制和符合監管標準。 SDMS 支援資料生命週期管理,從原始資料擷取到分析和長期存儲,確保資料始終可用且可追溯。
根據美國國家醫學圖書館報道,2020年3月,上海交通大學醫學院附屬上海總醫院宣布開展總體基因體學二代定序技術精準治療感染患者的病原菌確定及療效評估第4階段。此類臨床試驗會產生大量需要安全儲存解決方案的關鍵科學資料,從而推動了市場需求。
增加研究活動和資料生成
隨著各個科學領域研究的加速,產生的資料量呈指數級成長,需要強大的系統來進行高效的資料管理、儲存和分析。 SDMS 解決方案提供資料整合、即時存取和安全儲存等關鍵功能,使其在現代研究環境中至關重要。資料密集型研究的激增,特別是在基因組學、製藥和環境科學等領域,正在推動對先進 SDMS 處理複雜資料集的需求。
實施和維護 SDMS 成本高昂
購買、客製化和整合 SDMS 解決方案的初始成本可能很高,使得預算有限的中小型研究和學術機構難以實施。此外,與軟體更新、系統維護和員工培訓相關的持續成本也增加了財務負擔。對於某些組織來說,這些成本可能超過了預期的效益,導致他們不願意實施 SDMS。由於這些系統的複雜性,它們通常需要專門的 IT 支持,從而進一步增加營運成本。
資料安全、合規性和協作的需求
敏感的研究資料需要強而有力的保護,SDMS 提供存取控制和加密等功能,以確保符合 HIPAA 和 GDPR 等法規。此外,合作在現代研究中也很重要。 SDMS 充當集中式平台,允許地理上分散的團隊無縫共用和分析資料。這促進了更快的科學進步和創新。隨著研究變得更加複雜,對安全和協作資料管理的需求預計將繼續推動 SDMS 市場向前發展。
缺乏標準化
在不同的研究環境中部署 SDMS 解決方案時,缺乏普遍接受的資料格式、通訊協定和互通性標準會產生整合和相容性問題。標準化的缺乏使不同系統之間的資料共用、協作和無縫資訊交流變得複雜,並降低了研究效率和生產力。此外,缺乏標準化的資料管治框架可能會導致資料品質、完整性和安全性不一致,從而削弱對 SDMS 解決方案的信任。
COVID-19 的影響
隨著研究機構優先考慮遠端協作和資料共用,COVID-19 大流行加速了科學資料管理系統 (SDMS) 的採用。由於對實驗室和研究設施的實體存取受到限制,對促進遠端資料存取和協作的雲端基礎的SDMS 解決方案的需求激增。此外,疫情凸顯了資料完整性和安全性的重要性,促使研究機構投資強大的 SDMS 平台,以確保合規性並保護敏感的研究資料。儘管面臨經濟挑戰,但對高效資料管理解決方案支援偏遠地區研究活動的需求推動了大流行期間 SDMS 市場的成長。
預計硬體領域將在預測期內成為最大的領域
由於高效能伺服器、儲存系統和網路設備能夠實現高效的資料儲存、搜尋和共用,預計硬體在預測期內將達到高峰。此外,圖形處理單元 (GPU) 和現場可程式閘陣列 (FPGA) 等專用硬體加速器可增強複雜資料分析任務的運算能力。硬體技術的進步,包括處理能力、儲存容量和網路頻寬的提高,正在推動創新並促進更強大和可擴展的 SDMS 解決方案的開發。
預計雲端基礎的細分市場在預測期內將出現最高的複合年成長率。
透過利用雲端基礎設施,公司可以儲存、處理和分析大量科學資料,而無需在硬體或IT基礎設施基礎設施上進行大量前期投資。雲端基礎的SDMS 解決方案可實現無縫協作、隨時隨地即時存取資料,並透過強大的加密和存取控制來增強資料安全性。此外,雲端平台的可擴展性使公司能夠輕鬆適應波動的資料量和運算要求,從而提高科學研究的效率和創新。
由於其較高的數位素養和促進科學資料管理系統採用的法規,預計北美在預測期內將佔據最大的市場佔有率。此外,TIBCO Software 和 Abbott Laboratories 等重要市場參與企業的存在也支持了市場成長。此外,在當前的 COVID-19 大流行期間,美國政府正在積極致力於保持科學研究設施之間的安全距離。預計這將增加對安全儲存和管理科學資料並減少勞動力的科學資料管理系統的需求。
由於實驗室自動化支出增加以及醫療保健行業採用技術先進的設備,預計亞太地區在預測期內將保持最高的複合年成長率。此外,由於政府資助和舉措的增加,對科學資料管理系統和軟體的需求也在增加。這些疾病的高盛行率在涉及尋找這些疾病的可行治療方法的實驗室中產生了大量資料。
According to Stratistics MRC, the Global Scientific Data Management System Market is accounted for $161.0 million in 2024 and is expected to reach $1566.6 million by 2030 growing at a CAGR of 46.1% during the forecast period. A Scientific Data Management System (SDMS) is an integrated platform designed to manage, store, and retrieve scientific data efficiently. It facilitates the seamless collection, processing, and sharing of large volumes of data generated by research laboratories, ensuring data integrity and accessibility. Key features of an SDMS include data capture from various instruments, metadata annotation, and support for diverse data formats. It also provides robust search functionalities, version control, and compliance with regulatory standards. It supports data lifecycle management, from raw data acquisition to analysis and long-term archival, ensuring data is consistently available and traceable.
According to the U.S. National Library of Medicine in March 2020, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, initiated a phase-4 clinical trial to determine the pathogen and efficacy evaluation of Metagenomics second generation sequencing technology for precision therapy on the infected patients. These clinical trials also generate significant amount of crucial scientific data that requires secure storage solutions thereby, driving the demand for the market.
Increased research activity and data generation
As research in various scientific fields accelerates, the volume of data generated rises exponentially, necessitating robust systems for efficient data management, storage, and analysis. SDMS solutions offer critical functionalities such as data integration, real-time access, and secure storage, making them indispensable for modern research environments. The surge in data-intensive research, particularly in fields like genomics, pharmaceuticals, and environmental sciences, amplifies the demand for advanced SDMS to handle complex datasets.
Implementing and maintaining SDMS can be expensive
The high initial costs of purchasing, customizing, and integrating SDMS solutions can deter small to mid-sized research organizations and academic institutions with limited budgets. Additionally, ongoing expenses related to software updates, system maintenance, and staff training add to the financial burden. These costs may outweigh perceived benefits for some organizations, leading to resistance in adopting SDMS. The complexity of these systems often requires specialized IT support, further increasing operational expenses.
Need for data security, compliance, and collaboration
Sensitive research data requires robust protection, and SDMS offer features like access controls and encryption to ensure compliance with regulations like HIPAA and GDPR. Additionally, collaboration is crucial in modern research. SDMS act as centralized platforms, enabling geographically spread teams to seamlessly share and analyze data. This fosters faster scientific progress and innovation. As research complexity grows, the demand for secure and collaborative data management will continue to propel the SDMS market forward.
Lack of Standardization
Without universally accepted standards for data formats, protocols, and interoperability, integration and compatibility issues arise when implementing SDMS solutions across different research environments. This lack of standardization complicates data sharing, collaboration, and the seamless exchange of information between disparate systems, hindering research efficiency and productivity. Furthermore, the absence of standardized data governance frameworks can lead to inconsistencies in data quality, integrity, and security, eroding trust in SDMS solutions.
Covid-19 Impact
The COVID-19 pandemic has accelerated the adoption of Scientific Data Management Systems (SDMS) as research organizations prioritize remote collaboration and data sharing. With restrictions on physical access to laboratories and research facilities, demand for cloud-based SDMS solutions surged to facilitate remote data access and collaboration. Additionally, the pandemic highlighted the importance of data integrity and security, prompting organizations to invest in robust SDMS platforms to ensure compliance and protect sensitive research data. Despite economic challenges, the need for efficient data management solutions to support remote research activities has bolstered the growth of the SDMS market during the pandemic.
The hardware segment is expected to be the largest during the forecast period
The hardware is expected to be the largest during the forecast period owing to high-performance servers, storage systems, and networking equipment enable efficient data storage, retrieval, and sharing. Additionally, specialized hardware accelerators, such as graphical processing units (GPUs) and field-programmable gate arrays (FPGAs), enhance computational capabilities for complex data analysis tasks. Advancements in hardware technology, including increased processing power, storage capacity, and network bandwidth, drive innovation and enable the development of more robust and scalable SDMS solutions.
The cloud-based segment is expected to have the highest CAGR during the forecast period
The cloud-based segment is expected to have the highest CAGR during the forecast period, by leveraging cloud infrastructure, organizations can store, process, and analyze vast amounts of scientific data without the need for significant upfront investments in hardware and IT infrastructure. Cloud-based SDMS solutions enable seamless collaboration, real-time access to data from anywhere, and enhanced data security through robust encryption and access controls. Moreover, the scalability of cloud platforms allows organizations to easily accommodate fluctuating data volumes and computational requirements, driving efficiency and innovation in scientific research.
North America is projected to hold the largest market share during the forecast period because of its high digital literacy and rules that promote the adoption of a scientific data management system. Also, the presence of significant market players in the regions, such as TIBCO Software and Abbott Laboratories, is fueling the market growth. In addition, amid the current COVID-19 epidemic, the US government has aggressively concentrated on keeping safe-distance even among scientific research facilities. This is expected to increase demand for scientific data management systems to securely store and manage scientific data while reducing the requirement for labor.
Asia Pacific is projected to hold the highest CAGR over the forecast period due to growing expenditures in the healthcare industry for lab automation and the adoption of technologically advanced equipment. Also, the need for scientific data management system software is increasing as a result of rising government financing and positive initiatives. The high prevalence of these disorders creates a massive quantity of data across the research laboratories involved in discovering viable treatments for the condition.
Key players in the market
Some of the key players in Scientific Data Management System market include Abbott Laboratories, Accelerated Technology Laboratories Inc, Advanced Chemistry Development, Inc, Bellefleur Physiotherapy, Benchling, Bon Secours Health System, Inc., Dassault Systemes SE, Flywheel.io, LabVantage Solutions Inc, LabWare, MediaLab, Inc, Merck KGaA, SciCord LLC, Shimadzu Corporation, Sutter Health, Thermo Fisher Scientific Inc, TIBCO Software Inc, Uncountable Inc. and SuVitas
In May 2024, JLR and Dassault Systemes Extend Partnership, Deploying the 3DEXPERIENCE Platform for All Vehicle Programs Worldwide. The 3DEXPERIENCE platform connects all stakeholders in one collaborative virtual environment, leveraging the latest technological innovation
In March 2024, Abbott, Real Madrid and the Real Madrid Foundation announced today the extension of their partnership through Real Madrid's 2026-27 season. Abbott will remain Global Health Sciences and Nutrition Partner of Real Madrid Football Club and Global Partner of the Real Madrid Foundation.
In January 2024, Abbott announced the launch of its new PROTALITY(TM) brand. The high-protein nutrition shake is the first product in this line to support the growing number of adults interested in pursuing weight loss while maintaining muscle mass and good nutrition.