Global Scientific Data Management Systems Sdms Market
市场规模（十亿美元）
CAGR :
% 
 Forecast Period |
2023 –2030 |
 Market Size (Base Year) |
USD 59.13 Million |
 Market Size (Forecast Year) |
USD 1,840.23 Million |
 CAGR |
% |
| Major Markets Players |
|
>全球科学数据管理系统 (SDMS) 市场，按组件（服务、软件）、部署模型（本地、基于云、远程托管）、行业（生命科学行业、化学工业、食品和饮料和农业行业、石化炼油厂和石油和天然气行业、环境测试实验室、其他行业）划分 - 行业趋势和预测到 2030 年。
科学数据管理系统 (SDMS) 市场分析和规模
SDMS 软件充当集中式文档管理系统，用于收集、组织和存储科学实验室生成的数据。它旨在处理来自 LIMS 或 ELN 等数据系统的非结构化数据。任何实验室（临床、研究、合同或制药）都可以利用 SDMS 来实现和维护数据完整性和法规遵从性，并保持单一事实来源。产品必须能够捕获、存储和管理各种非结构化数据格式、分析存储的数据、生成实验室活动报告、支持数据导入和导出，并且能够与实验室仪器和系统进行互操作，才有资格纳入 SDMS 类别。
Data Bridge Market Research 分析，全球科学数据管理系统 (SDMS) 市场规模在 2022 年为 5913 万美元，预计到 2030 年将达到 18.4023 亿美元，预计在 2023 年至 2030 年的预测期内复合年增长率为 44.2%。由于对 SDMS 的需求不断增长，“服务”部分占据了市场组件部分的主导地位。
除了对市场价值、增长率、细分、地理覆盖范围和主要参与者等市场情景的见解之外，Data Bridge Market Research 策划的市场报告还包括深入的专家分析、患者流行病学、管道分析、定价分析和监管框架。
报告范围和市场细分
|
报告指标 |
细节 |
|
预测期 |
2023 至 2030 年 |
|
基准年 |
2022 |
|
历史岁月 |
2021 (可定制为 2015-2020) |
|
定量单位 |
收入（百万美元）、销量（单位）、定价（美元） |
|
涵盖的领域 |
组件（服务、软件）、部署模型（本地、基于云、远程托管）、行业（生命科学行业、化学工业、食品饮料和农业行业、石化炼油厂和石油天然气行业、环境测试实验室、其他行业） |
|
覆盖国家 |
美国、加拿大、墨西哥、德国、法国、英国、荷兰、瑞士、比利时、俄罗斯、意大利、西班牙、土耳其、欧洲其他地区、中国、日本、印度、韩国、新加坡、马来西亚、澳大利亚、泰国、印度尼西亚、菲律宾、亚太其他地区、沙特阿拉伯、阿联酋、南非、埃及、以色列、中东和非洲其他地区、巴西、阿根廷和南美洲其他地区 |
|
涵盖的市场参与者 |
Smart Speech Therapy (U.S.), Therapy Solutions (U.S.), Benchmark Therapies (U.S.), Speed Pathology (Australia), Priory (U.K.), Bellefleur Physiotherapy (Canada), SuVitas (India), LifeStance Health Inc. (U.S.), FYZICAL (U.S.), Sutter Health (U.S.), Bon Secours Health System, Inc. (U.S.), ApoKos Rehab Pvt Ltd. (India), Banner Health (U.S.), Spectrum Physio (India), Select Medical Corporation (U.S.), Lifespan Physical Therapy Services (U.S.), nMotion Physical Therapy (U.S.), CORA Health Services, Inc. (U.S.), Athletico Physical Therapy (U.S.), and fullmotionpt (U.S.) |
|
Market Opportunities |
|
Market Definition
Scientific Data Management Systems (SDMS) are systems that handle all data associated with a scientific lab, including data storage, cataloging, document management, and more. Laboratory Information Management Systems (LIMS) and electronic lab notebooks can be integrated with scientific data management systems.
Global Scientific Data Management Systems (SDMS) Market Dynamics
Drivers
- Usage of Scientific Data Management System (SDMS)
An SDMS can also help cut down on the number of documents produced daily. This can save money by reducing printing. It can assist scientists in managing data and maintaining compliance by storing all data digitally. The technology streamlines lab procedures and boosts efficiency. However, it is not a cure-all for all problems. You can use an SDMS in your laboratory to satisfy the demands of your researchers and optimize your workflow, regardless of your research topic.
- Usage of Laboratory Information Management System (LIMS)
The LIMS is valuable not only for storing lab data but also for lab operations. It removes the effort of combing through freezers and seeking lost samples because it keeps track of every lab item. This is extremely critical when it comes to time-sensitive initiatives and high-throughput research. No scientist likes to waste time looking for a sample that has gone missing. The entire procedure is made much easier with the help of LIMS.
- Usage of Metadata
Manual or automatic metadata collection is possible. A metadata harvester will collect metadata automatically. A form SIX system, for instance, extracts metadata from a web form automatically. Researchers can access data collecting metadata through programmatic links using ontologies and the Semantic Web. Metadata management systems were employed in the early days of digital libraries to handle small data sets, linkages between them, and associated knowledge.
Opportunities
- Artificial Intelligence and Machine Learning Integration
The integration of Artificial Intelligence (AI) and Machine Learning (ML) capabilities within SDMS solutions opens doors to advanced data analysis and predictive insights. AI-driven data interpretation and pattern recognition enhance research efficiency. SDMS providers invest in AI and ML integration to capitalize on this opportunity.
- Cloud-Based SDMS Solutions
The shift towards cloud-based SDMS solutions presents a significant opportunity. Cloud solutions offer scalability, accessibility, and reduced infrastructure requirements, making them attractive to organizations seeking cost-effective data management options.
Restraints/Challenges
- Cost of Implementation and Maintenance
Implementing and maintaining SDMS solutions can be financially demanding. The cost of deployment and ongoing maintenance can be a barrier, especially for smaller research organizations and laboratories. SDMS providers explore flexible pricing models and cloud-based solutions to reduce initial costs to address this restraint.
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Data Privacy and Compliance
Ensuring data privacy and compliance with evolving data protection regulations can be a significant challenge. Organizations must navigate the complex landscape of data privacy laws and adhere to varying compliance standards. To tackle this challenge, SDMS providers offer tools and features for data privacy management.
The global Scientific Data Management Systems (SDMS) market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyzes opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on this market, Contact Data Bridge Market Research for an Analyst Brief, our team will help you make an informed market decision to achieve market growth.
Recent Development
- In November 2021, Precision BioSciences, Inc. and Eli Lilly, and the firm partnered to create potential in-vivo therapies for genetic illnesses using the latter company's unique ARCUS Scientific Data Management Systems (SDMS) platform.
Global Scientific Data Management Systems (SDMS) Market Scope
The global Scientific Data Management Systems (SDMS) market is segmented on the basis of component, deployment model, and industry. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Component
- Services
- Software
Deployment Model
- On-Premise
- Cloud Based
- Remotely Hosted
Industry
- Life Sciences Industry
- Chemicals Industry
- Food and Beverage and Agriculture Industry
- 石化炼油厂和石油天然气工业
- 环境检测实验室
- 其他行业
全球科学数据管理系统 (SDMS) 市场区域分析/见解
对全球科学数据管理系统 (SDMS) 市场进行了分析，并按国家、组件、部署模型和行业提供了上述市场规模洞察和趋势。
本市场报告涵盖的国家包括美国、加拿大、墨西哥、德国、法国、英国、荷兰、瑞士、比利时、俄罗斯、意大利、西班牙、土耳其、欧洲其他地区、中国、日本、印度、韩国、新加坡、马来西亚、澳大利亚、泰国、印度尼西亚、菲律宾、亚太其他地区、沙特阿拉伯、阿联酋、南非、埃及、以色列、中东和非洲其他地区、巴西、阿根廷以及南美洲其他地区。
北美在市场份额和市场收入方面占据全球科学数据管理系统 (SDMS) 市场的主导地位，并且由于研发支出的增加、政府举措的增多以及各国医疗保健基础设施的改善，其将在 2023 年至 2030 年的预测期内继续保持主导地位。
由于政府对医疗保健领域的支出不断增加以及政府的技术进步和举措不断推进，预计亚太地区在 2023 年至 2030 年的预测期内将呈现最高的市场增长率。
本市场报告的国家部分还提供了影响单个市场因素和国内市场监管变化，这些因素和变化会影响市场的当前和未来趋势。下游和上游价值链分析、技术趋势、波特五力分析和案例研究等数据点是用于预测单个国家市场情景的一些指标。此外，在对国家数据进行预测分析时，还考虑了全球品牌的存在和可用性以及它们因来自本地和国内品牌的激烈或稀缺竞争而面临的挑战、国内关税的影响以及贸易路线。
医疗保健基础设施增长安装基础和新技术渗透
全球科学数据管理系统 (SDMS) 市场还为您提供详细的市场分析，包括每个国家/地区资本设备医疗保健支出的增长、市场上不同类型产品的安装基数、使用生命线曲线的技术影响以及医疗保健监管情景的变化及其对市场的影响。数据适用于 2011-2021 年的历史时期。
竞争格局和全球科学数据管理系统 (SDMS) 市场份额分析
全球科学数据管理系统 (SDMS) 市场竞争格局提供了竞争对手的详细信息。详细信息包括公司概况、公司财务状况、产生的收入、市场潜力、研发投资、新市场计划、全球影响力、生产基地和设施、生产能力、公司优势和劣势、产品发布、产品宽度和广度以及应用主导地位。以上提供的数据点仅与公司对市场的关注有关。
全球科学数据管理系统 (SDMS) 市场的一些主要参与者包括：
- 智能言语治疗（美国）
- 治疗解决方案（美国）
- 基准疗法（美国）
- 速度病理学（澳大利亚）
- 修道院（英国）
- Bellefleur 物理治疗中心（加拿大）
- SuVitas（印度）
- LifeStance Health Inc.（美国）
- FYZICAL（美国）
- 萨特健康（美国）
- Bon Secours Health System, Inc.（美国）
- ApoKos Rehab Pvt Ltd.（印度）
- Banner Health（美国）
- Spectrum Physio（印度）
- Select Medical Corporation（美国）
- Lifespan 物理治疗服务（美国）
- nMotion 物理治疗（美国）
- CORA Health Services, Inc.（美国）
- Athletico 物理治疗（美国）
- fullmotionpt (美国)
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研究方法
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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