The scientific data management system market is a critical component of modern research and development (R&D) infrastructure, particularly in the life sciences sector. It encompasses tools and platforms designed to handle the storage, organization, analysis, and sharing of scientific data. The market is influenced by various factors, including technological advance, evolving regulatory requirements, and the increasing need for data harmonization and interoperability.
The global On-Premises Scientific Data Management System market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
Key trends in the scientific data management system market include:
1. Cloud- Solutions: The adoption of cloud-based data management systems is on the rise due to their scalability, cost-effectiveness, and ability to facilitate remote access to data. Cloud platforms enable the centralization and harmonization of data from various sources, which is essential for collaborative research and for leveraging advanced analytics and artificial intelligence (AI) tools.
2. Data Integration and Interoperability: As research becomes increasingly multidisciplinary, there is a growing need for data management systems that can integrate data from sources and types of instruments. Solutions that offer seamless interoperability between different informatics systems and instruments are in high demand.
3. Regulatory Compliance: The life sciences industry is subject to stringent regulatory requirements for data management and quality control. Data management systems must ensure compliance with regulations such as the Food and Drug Administration's (FDA) 21 CFR Part 11, which sets forth the criteria under which electronic records and electronic signatures are considered trustworthy, reliable, and equivalent to paper records.
4. Artificial Intelligence and Machine Learning: AI and machine learning algorithms are being integrated into data management systems to provide advanced analytics capabilities, automate data processing and analysis, and derive actionable insights from large datasets.
5. Open Science and Data Sharing: There is a growing movement towards open science and data sharing, driven by funding agencies and research institutions that are encouraging or mandating the open publication of research data. This trend is expected to continue, driving the need for systems that facilitate easy data sharing and collaboration.
6.FAIR Data Principles: The FAIR (Findable, Accessible, Interoperable, and Reusable) principles are gaining prominence in the scientific community. Data management systems are evolving to support these principles, ensuring that data is FAIRly curated, which is crucial for enabling data and maximizing the impact of research investments.
7. Enhanced Security and Privacy: With the increasing volume of sensitive and personal data being generated in scientific research, there is a heightened focus on data security and privacy. Data management systems must incorporate robust security measures to protect data from unauthorized access, breaches, and other security threats.
The scientific data management system market is expected to continue growing as the volume of scientific data expands exponentially and as the need for efficient data management becomes increasingly critical for driving innovation and informing decision-making in the life sciences and beyond.
This report aims to provide a comprehensive presentation of the global market for On-Premises Scientific Data Management System, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding On-Premises Scientific Data Management System.
Report Scope
The On-Premises Scientific Data Management System market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global On-Premises Scientific Data Management System market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the On-Premises Scientific Data Management System companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
Benchling
BioData
SciNote
Thermo Fisher Scientific
Uncountable
MediaLab
Shimadzu
Abbott
Flywheel.io
Genemod
L7 Informatics
SciCord
ACD/Labs
OMNILAB
Arxspan
BC Platforms
BenchSci
Logibec
Cytobank
Docollab
Dotmatics
Fink & Partner
Genics
AdventSys Technologies Private
iVention
LabKey Corporation
LabLynx
LaboratoryOn
Topos Technologies
Locsoft
Segment by Type
Software
Services
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of On-Premises Scientific Data Management System companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global On-Premises Scientific Data Management System 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Software
1.2.3 Services
1.3 麻豆原创 by Application
1.3.1 Global On-Premises Scientific Data Management System 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global On-Premises Scientific Data Management System 麻豆原创 Perspective (2019-2030)
2.2 On-Premises Scientific Data Management System Growth Trends by Region
2.2.1 Global On-Premises Scientific Data Management System 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 On-Premises Scientific Data Management System Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 On-Premises Scientific Data Management System Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 On-Premises Scientific Data Management System 麻豆原创 Dynamics
2.3.1 On-Premises Scientific Data Management System Industry Trends
2.3.2 On-Premises Scientific Data Management System 麻豆原创 Drivers
2.3.3 On-Premises Scientific Data Management System 麻豆原创 Challenges
2.3.4 On-Premises Scientific Data Management System 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top On-Premises Scientific Data Management System Players by Revenue
3.1.1 Global Top On-Premises Scientific Data Management System Players by Revenue (2019-2024)
3.1.2 Global On-Premises Scientific Data Management System Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global On-Premises Scientific Data Management System 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by On-Premises Scientific Data Management System Revenue
3.4 Global On-Premises Scientific Data Management System 麻豆原创 Concentration Ratio
3.4.1 Global On-Premises Scientific Data Management System 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by On-Premises Scientific Data Management System Revenue in 2023
3.5 On-Premises Scientific Data Management System Key Players Head office and Area Served
3.6 Key Players On-Premises Scientific Data Management System Product Solution and Service
3.7 Date of Enter into On-Premises Scientific Data Management System 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 On-Premises Scientific Data Management System Breakdown Data by Type
4.1 Global On-Premises Scientific Data Management System Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global On-Premises Scientific Data Management System Forecasted 麻豆原创 Size by Type (2025-2030)
5 On-Premises Scientific Data Management System Breakdown Data by Application
5.1 Global On-Premises Scientific Data Management System Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global On-Premises Scientific Data Management System Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America On-Premises Scientific Data Management System 麻豆原创 Size (2019-2030)
6.2 North America On-Premises Scientific Data Management System 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America On-Premises Scientific Data Management System 麻豆原创 Size by Country (2019-2024)
6.4 North America On-Premises Scientific Data Management System 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe On-Premises Scientific Data Management System 麻豆原创 Size (2019-2030)
7.2 Europe On-Premises Scientific Data Management System 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe On-Premises Scientific Data Management System 麻豆原创 Size by Country (2019-2024)
7.4 Europe On-Premises Scientific Data Management System 麻豆原创 Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific On-Premises Scientific Data Management System 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific On-Premises Scientific Data Management System 麻豆原创 Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific On-Premises Scientific Data Management System 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific On-Premises Scientific Data Management System 麻豆原创 Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America On-Premises Scientific Data Management System 麻豆原创 Size (2019-2030)
9.2 Latin America On-Premises Scientific Data Management System 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America On-Premises Scientific Data Management System 麻豆原创 Size by Country (2019-2024)
9.4 Latin America On-Premises Scientific Data Management System 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa On-Premises Scientific Data Management System 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa On-Premises Scientific Data Management System 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa On-Premises Scientific Data Management System 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa On-Premises Scientific Data Management System 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Benchling
11.1.1 Benchling Company Detail
11.1.2 Benchling Business Overview
11.1.3 Benchling On-Premises Scientific Data Management System Introduction
11.1.4 Benchling Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.1.5 Benchling Recent Development
11.2 BioData
11.2.1 BioData Company Detail
11.2.2 BioData Business Overview
11.2.3 BioData On-Premises Scientific Data Management System Introduction
11.2.4 BioData Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.2.5 BioData Recent Development
11.3 SciNote
11.3.1 SciNote Company Detail
11.3.2 SciNote Business Overview
11.3.3 SciNote On-Premises Scientific Data Management System Introduction
11.3.4 SciNote Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.3.5 SciNote Recent Development
11.4 Thermo Fisher Scientific
11.4.1 Thermo Fisher Scientific Company Detail
11.4.2 Thermo Fisher Scientific Business Overview
11.4.3 Thermo Fisher Scientific On-Premises Scientific Data Management System Introduction
11.4.4 Thermo Fisher Scientific Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.4.5 Thermo Fisher Scientific Recent Development
11.5 Uncountable
11.5.1 Uncountable Company Detail
11.5.2 Uncountable Business Overview
11.5.3 Uncountable On-Premises Scientific Data Management System Introduction
11.5.4 Uncountable Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.5.5 Uncountable Recent Development
11.6 MediaLab
11.6.1 MediaLab Company Detail
11.6.2 MediaLab Business Overview
11.6.3 MediaLab On-Premises Scientific Data Management System Introduction
11.6.4 MediaLab Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.6.5 MediaLab Recent Development
11.7 Shimadzu
11.7.1 Shimadzu Company Detail
11.7.2 Shimadzu Business Overview
11.7.3 Shimadzu On-Premises Scientific Data Management System Introduction
11.7.4 Shimadzu Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.7.5 Shimadzu Recent Development
11.8 Abbott
11.8.1 Abbott Company Detail
11.8.2 Abbott Business Overview
11.8.3 Abbott On-Premises Scientific Data Management System Introduction
11.8.4 Abbott Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.8.5 Abbott Recent Development
11.9 Flywheel.io
11.9.1 Flywheel.io Company Detail
11.9.2 Flywheel.io Business Overview
11.9.3 Flywheel.io On-Premises Scientific Data Management System Introduction
11.9.4 Flywheel.io Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.9.5 Flywheel.io Recent Development
11.10 Genemod
11.10.1 Genemod Company Detail
11.10.2 Genemod Business Overview
11.10.3 Genemod On-Premises Scientific Data Management System Introduction
11.10.4 Genemod Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.10.5 Genemod Recent Development
11.11 L7 Informatics
11.11.1 L7 Informatics Company Detail
11.11.2 L7 Informatics Business Overview
11.11.3 L7 Informatics On-Premises Scientific Data Management System Introduction
11.11.4 L7 Informatics Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.11.5 L7 Informatics Recent Development
11.12 SciCord
11.12.1 SciCord Company Detail
11.12.2 SciCord Business Overview
11.12.3 SciCord On-Premises Scientific Data Management System Introduction
11.12.4 SciCord Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.12.5 SciCord Recent Development
11.13 ACD/Labs
11.13.1 ACD/Labs Company Detail
11.13.2 ACD/Labs Business Overview
11.13.3 ACD/Labs On-Premises Scientific Data Management System Introduction
11.13.4 ACD/Labs Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.13.5 ACD/Labs Recent Development
11.14 OMNILAB
11.14.1 OMNILAB Company Detail
11.14.2 OMNILAB Business Overview
11.14.3 OMNILAB On-Premises Scientific Data Management System Introduction
11.14.4 OMNILAB Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.14.5 OMNILAB Recent Development
11.15 Arxspan
11.15.1 Arxspan Company Detail
11.15.2 Arxspan Business Overview
11.15.3 Arxspan On-Premises Scientific Data Management System Introduction
11.15.4 Arxspan Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.15.5 Arxspan Recent Development
11.16 BC Platforms
11.16.1 BC Platforms Company Detail
11.16.2 BC Platforms Business Overview
11.16.3 BC Platforms On-Premises Scientific Data Management System Introduction
11.16.4 BC Platforms Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.16.5 BC Platforms Recent Development
11.17 BenchSci
11.17.1 BenchSci Company Detail
11.17.2 BenchSci Business Overview
11.17.3 BenchSci On-Premises Scientific Data Management System Introduction
11.17.4 BenchSci Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.17.5 BenchSci Recent Development
11.18 Logibec
11.18.1 Logibec Company Detail
11.18.2 Logibec Business Overview
11.18.3 Logibec On-Premises Scientific Data Management System Introduction
11.18.4 Logibec Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.18.5 Logibec Recent Development
11.19 Cytobank
11.19.1 Cytobank Company Detail
11.19.2 Cytobank Business Overview
11.19.3 Cytobank On-Premises Scientific Data Management System Introduction
11.19.4 Cytobank Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.19.5 Cytobank Recent Development
11.20 Docollab
11.20.1 Docollab Company Detail
11.20.2 Docollab Business Overview
11.20.3 Docollab On-Premises Scientific Data Management System Introduction
11.20.4 Docollab Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.20.5 Docollab Recent Development
11.21 Dotmatics
11.21.1 Dotmatics Company Detail
11.21.2 Dotmatics Business Overview
11.21.3 Dotmatics On-Premises Scientific Data Management System Introduction
11.21.4 Dotmatics Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.21.5 Dotmatics Recent Development
11.22 Fink & Partner
11.22.1 Fink & Partner Company Detail
11.22.2 Fink & Partner Business Overview
11.22.3 Fink & Partner On-Premises Scientific Data Management System Introduction
11.22.4 Fink & Partner Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.22.5 Fink & Partner Recent Development
11.23 Genics
11.23.1 Genics Company Detail
11.23.2 Genics Business Overview
11.23.3 Genics On-Premises Scientific Data Management System Introduction
11.23.4 Genics Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.23.5 Genics Recent Development
11.24 AdventSys Technologies Private
11.24.1 AdventSys Technologies Private Company Detail
11.24.2 AdventSys Technologies Private Business Overview
11.24.3 AdventSys Technologies Private On-Premises Scientific Data Management System Introduction
11.24.4 AdventSys Technologies Private Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.24.5 AdventSys Technologies Private Recent Development
11.25 iVention
11.25.1 iVention Company Detail
11.25.2 iVention Business Overview
11.25.3 iVention On-Premises Scientific Data Management System Introduction
11.25.4 iVention Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.25.5 iVention Recent Development
11.26 LabKey Corporation
11.26.1 LabKey Corporation Company Detail
11.26.2 LabKey Corporation Business Overview
11.26.3 LabKey Corporation On-Premises Scientific Data Management System Introduction
11.26.4 LabKey Corporation Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.26.5 LabKey Corporation Recent Development
11.27 LabLynx
11.27.1 LabLynx Company Detail
11.27.2 LabLynx Business Overview
11.27.3 LabLynx On-Premises Scientific Data Management System Introduction
11.27.4 LabLynx Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.27.5 LabLynx Recent Development
11.28 LaboratoryOn
11.28.1 LaboratoryOn Company Detail
11.28.2 LaboratoryOn Business Overview
11.28.3 LaboratoryOn On-Premises Scientific Data Management System Introduction
11.28.4 LaboratoryOn Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.28.5 LaboratoryOn Recent Development
11.29 Topos Technologies
11.29.1 Topos Technologies Company Detail
11.29.2 Topos Technologies Business Overview
11.29.3 Topos Technologies On-Premises Scientific Data Management System Introduction
11.29.4 Topos Technologies Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.29.5 Topos Technologies Recent Development
11.30 Locsoft
11.30.1 Locsoft Company Detail
11.30.2 Locsoft Business Overview
11.30.3 Locsoft On-Premises Scientific Data Management System Introduction
11.30.4 Locsoft Revenue in On-Premises Scientific Data Management System Business (2019-2024)
11.30.5 Locsoft Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Benchling
BioData
SciNote
Thermo Fisher Scientific
Uncountable
MediaLab
Shimadzu
Abbott
Flywheel.io
Genemod
L7 Informatics
SciCord
ACD/Labs
OMNILAB
Arxspan
BC Platforms
BenchSci
Logibec
Cytobank
Docollab
Dotmatics
Fink & Partner
Genics
AdventSys Technologies Private
iVention
LabKey Corporation
LabLynx
LaboratoryOn
Topos Technologies
Locsoft
听
听
*If Applicable.
