Global Cloud-Based Scientific Data Management System Supply, Demand and Key Producers, 2024-2030

Global Cloud-Based Scientific Data Management System Supply, Demand and Key Producers, 2024-2030


The global Cloud-Based Scientific Data Management System market size is expected to reach $ million by 2030, rising at a market growth of % CAGR 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.

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.

This report studies the global Cloud-Based Scientific Data Management System demand, key companies, and key regions.

This report is a detailed and comprehensive analysis of the world market for Cloud-Based Scientific Data Management System, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2023 as the base year. This report explores demand trends and competition, as well as details the characteristics of Cloud-Based Scientific Data Management System that contribute to its increasing demand across many markets.

Highlights and key features of the study

Global Cloud-Based Scientific Data Management System total market, 2019-2030, (USD Million)

Global Cloud-Based Scientific Data Management System total market by region & country, CAGR, 2019-2030, (USD Million)

U.S. VS China: Cloud-Based Scientific Data Management System total market, key domestic companies and share, (USD Million)

Global Cloud-Based Scientific Data Management System revenue by player and market share 2019-2024, (USD Million)

Global Cloud-Based Scientific Data Management System total market by Type, CAGR, 2019-2030, (USD Million)

Global Cloud-Based Scientific Data Management System total market by Application, CAGR, 2019-2030, (USD Million).

This reports profiles major players in the global Cloud-Based Scientific Data Management System market based on the following parameters – company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Benchling, BioData, SciNote, Thermo Fisher Scientific, Uncountable, MediaLab, Shimadzu, Abbott and Flywheel.io, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World Cloud-Based Scientific Data Management System market.

Detailed Segmentation:

Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2019-2030 by year with 2023 as the base year, 2024 as the estimate year, and 2025-2030 as the forecast year.

Global Cloud-Based Scientific Data Management System Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World

Global Cloud-Based Scientific Data Management System Market, Segmentation by Type
Software
Services

Global Cloud-Based Scientific Data Management System Market, Segmentation by Application
Large Enterprises
SMEs

Companies Profiled:
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
Loc@soft

Key Questions Answered

1. How big is the global Cloud-Based Scientific Data Management System market?

2. What is the demand of the global Cloud-Based Scientific Data Management System market?

3. What is the year over year growth of the global Cloud-Based Scientific Data Management System market?

4. What is the total value of the global Cloud-Based Scientific Data Management System market?

5. Who are the major players in the global Cloud-Based Scientific Data Management System market?


1 Supply Summary
2 Demand Summary
3 World Cloud-Based Scientific Data Management System Companies Competitive Analysis
4 United States VS China VS Rest of the World (by Headquarter Location)
5 Market Analysis by Type
6 Market Analysis by Application
7 Company Profiles
8 Industry Chain Analysis
9 Research Findings and Conclusion
10 Appendix

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