Global biological data visualization market was valued at USD 741 million in 2019. It is projected to grow at a compound annual rate (CAGR of 9.6%) between 2020 and 2027. The field of biological data visualization is constantly evolving. Recent years have seen remarkable advancements in image-processing, which is integrated with artificial intelligence-based patterns recognition, programming language and new libraries to visual analytics. Virtual reality environments, which allow the integration of biological information in virtual worlds, are expected to transform the market.
The rapid development of big-data combined with the large volume and complexity of biological data have led to an increase in global use of visualization tools. Advanced analytical tools are required to meet increasing demands for quick decisions. These tools allow you to extract substantial data from large chunks of unorganized data quickly. These factors will drive the adoption of visualizing tools in the future.
Systems biology has been plagued by difficulties in understanding the relationships between biological molecules and networks. To address this problem, many conferences have been held to highlight the importance of visualizations in system biology. This increases their adoption among researchers. In Germany, the Visualizing Biological Data workshop in 2019 demonstrated that data visualization could drive advances in molecular biology and systems biology.
The adoption of computational visualization tools for biomedical research is increasing due to the expanding scope of artificial intelligence in big-data analysis. Machine learning-based methods have a higher reliability, robustness, and accuracy than traditional methods. Aside from the improved storage and computing capabilities, the analysis level of biological data has moved to a molecular level instead of sequence-based, which is a benefit for biomedical research.
Biological data mining has been integrated into medical and biological discovery processes. This has led to the creation of large quantities of proteomic and genomic datasets. Data mining has seen a tremendous increase in its use, which led to the development of visualization tools that allow for analysis of genomic data. This has helped accelerate market growth.
Due to the wide-range of applications of Next-generation sequencing (NGS), in the analysis and interpretation of genomics and epigenetics as well as systems biology and evolutionary datasets, the sequencing segment is expected to have the highest revenue share for the forecast period. The breakthrough of single-cell-RNA sequencing has provided unprecedented insights into cell behavior and expanded the scope of sequencing applications.
RNA-sequencing is a popular technique for transcriptome profiling due to its low cost and increased throughput. Sequence alignments are a common data type in phylogenetic analyses and their use helps in gaining greater insights into the molecular mechanisms that differentiate each species.
The fastest growing technique in magnetic resonance imaging is expected to be a result of constant advancements in this field. The tools for imaging diffusion-weighted MRI data are expected to be used for microscopy applications. This will increase the use of MRI in other methods and help drive the growth of biological data visualization.
In terms of revenue generation, the cell and organism imaging segment held the largest market share. Big data analytics and data mining are expected to continue to improve radiology professionals' ability to image. This will drive the use of visualization software for cell, organism, or molecular graphics.
The cryo-electron microscope has made it possible to examine the structure of cells, viruses and proteins at molecular level. This technique has been widely used due to technological advances in statistical analysis software, transmission electron microscopes optics and sensors that can quickly readouts and directly detect electrons. These innovations are expected to drive the cell imaging sector.
Genomic Analysis is expected to expand at a rapid pace and register the highest CAGR over the forecast period. Second- and third-generation sequencing technologies have made it possible to sequence transcriptomes at an affordable cost and in a short time. The presence of several projects such as the 1000 Genomes Project or the International HapMap Project has resulted in large genomic data explosions, which is driving segment growth.
Visualizing tools are available for Windows, MAC OS and Linux. The Windows operating system is expected to have a higher revenue share than the others. Windows is a widely used operating system. Around 90% of laptops and computers are compatible with Microsoft Windows 10, which results in a higher share.
Windows is compatible with many computer accessories such as keyboards and scanners, monitors, mice, graphics tablets, keyboards, storage drives. This operating system can also be used with any software that is used to visualize data, which has been widely adopted by researchers as well as pharmaceutical companies.
Due to an increase in MAC OS's global sales over the years, MAC OS is likely to experience lucrative growth. This operating system is simple to use and easier to manage than Windows. This is due to the fact that Windows has many layers of menu below the surface. MAC OS does not have this feature.
The largest segment of end-use in academic research was estimated to be in 2019, and it is expected to continue growing during the forecast period. This is due to the extensive use of sequencing and MRI methods in biomedical research. The share is increasing due to ongoing partnerships between research organizations and companies in the development of visualization tools, and supporting researchers.
Plotly and McGill University formed a partnership in October 2019 to fund interns. Plotly has partnered with Mitacs, a non-profit organization, to provide financial support for interns. Plotly also supports the use Plotly's Dash software to aid in data analysis and visualization. This helped researchers to quickly analyze nervous disorders.
Due to the rapid expansion of personalized medicine, companion diagnostics, and pharmaceutical companies, the biotechnology and pharmaceutical industry segment will experience the highest growth. Drug developers require rapid analysis tools to quickly gather the relevant information needed for drug discovery and development. These tools can also be used to transform the decision-making process in R&D laboratories within pharmaceutical companies.
In 2019, North America was the country with the highest revenue generation. This is due to the growth of capital-intensive sectors in biotechnology such as personalized medicine, and the development high-throughput sequencing technologies. The region's high R&D investment has a positive impact on the development of these areas, increasing the demand for analysis software that can visualize the biological data generated for these fields.
Due to important developments made by public agencies to increase the use of data science and big data in Asia Pacific, this region saw a high growth rate. Regional players adopting strategic initiatives to increase their market presence on local and global markets drive the market. Olympus Corporation, a Japan-based company launched the scanR 3.1 High Content Screening Station (HCS), in July 2019. This uses artificial intelligence to analyze live cells and thus benefits the company's sales.
Due to the large number of private and public companies, there is intense competition in the market. To expand their market presence, public market players make significant investments. Private firms, on the other hand are participating in collaborative models and agreements to expand their product range and compete in the market.
Media Cybernetics, for example, partnered with Objective Imaging in March 2019 to provide support for peripheral hardware in its visualization software Image-Pro. The Hardware Automation Module is a hardware control module that automates hardware control. It can be used to address budget and application requirements. The following are some of the most prominent players in the market for biological data visualization:
Thermo Fisher Scientific Inc.
QIAGEN
Becton Dickinson and Company
Agilent Technologies, Inc.
3M
Carl Zeiss AG
Oxford Instruments
Olympus Corporation
GE Healthcare
Clarivate Analytics
arivis AG
Scientific Volume Imaging B.V.
Media Cybernetics, Inc.
Molecular Devices, LLC
Danaher
Up Market Research published a new report titled “Biological Data Visualization Market research report which is segmented by Technique (MRI, Sequencing, Microscopy), By Players/Companies arivis AG, GE Healthcare, 3M, Becton-Dickinson and Company, Media Cybernetics Inc, Agilent Technologies Inc, Scientific Volume Imaging BV, Olympus Corporation, Thermo Fisher Scientific Inc, Molecular Devices LLC, QIAGEN, Carl Zeiss AG, Oxford Instruments, Clarivate Analytics, Danaher”. As per the study the market is expected to grow at a CAGR of XX% in the forecast period.
Report Attributes | Report Details |
Report Title | Biological Data Visualization Market Research Report |
By Technique | MRI, Sequencing, Microscopy |
By Companies | arivis AG, GE Healthcare, 3M, Becton-Dickinson and Company, Media Cybernetics Inc, Agilent Technologies Inc, Scientific Volume Imaging BV, Olympus Corporation, Thermo Fisher Scientific Inc, Molecular Devices LLC, QIAGEN, Carl Zeiss AG, Oxford Instruments, Clarivate Analytics, Danaher |
Regions Covered | North America, Europe, APAC, Latin America, MEA |
Base Year | 2020 |
Historical Year | 2018 to 2019 (Data from 2010 can be provided as per availability) |
Forecast Year | 2028 |
Number of Pages | 216 |
Number of Tables & Figures | 152 |
Customization Available | Yes, the report can be customized as per your need. |
The report covers comprehensive data on emerging trends, market drivers, growth opportunities, and restraints that can change the market dynamics of the industry. It provides an in-depth analysis of the market segments which include products, applications, and competitor analysis.
The market is segmented by Technique (MRI, Sequencing, Microscopy).
Biological Data Visualization Market research report delivers a close watch on leading competitors with strategic analysis, micro and macro market trend and scenarios, pricing analysis and a holistic overview of the market situations in the forecast period. It is a professional and a detailed report focusing on primary and secondary drivers, market share, leading segments and geographical analysis. Further, key players, major collaborations, merger & acquisitions along with trending innovation and business policies are reviewed in the report.
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Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa (MEA). North America region is further bifurcated into countries such as U.S., and Canada. The Europe region is further categorized into U.K., France, Germany, Italy, Spain, Russia, and Rest of Europe. Asia Pacific is further segmented into China, Japan, South Korea, India, Australia, South East Asia, and Rest of Asia Pacific. Latin America region is further segmented into Brazil, Mexico, and Rest of Latin America, and the MEA region is further divided into GCC, Turkey, South Africa, and Rest of MEA.
We have studied the Biological Data Visualization Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2028.
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