Advancement in AI-based technology enables in early and accurate decision making though biological data visualization. The AI has potential to expand its capabilities in biological data visualization through various AI application. The technology enables in managing and increasing the demands of patients for AI tools as it is time efficient process of detecting diseases at initial stage. The data mining systems tackle AI, which are used to analyze large amounts of genetic data to estimate patient’s healthcare requirements. AI has significant potential which enables in enhancing patient care and improvise patients’ outcomes. AI and machine learning technology are used to develop computational tools for screening patients with retinal diseases and provides proper diagnosis and treatment of diseases. AtomNet, a deep leaning technology is structure-based design for drug design and detect novel biomolecules and target diseases. Such technologies in the market fulfill the unmet needs of the researchers and health workers, which in turn contribute to the adoption of data visualization tools in the market.

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In recent years the demand for doctors is increasing with rapid pace due to increasing patients with diseases. The rise in acceptance among patients due to rapid adoption of technology by doctors enables in maintaining patients demands. Due to advancement of computer-based tools & technology, development of software provides support to medical practitioners in decision making. The AI decision making system enables in managing uncertainty and imprecision. The intelligent system enables in resolving problems through human knowledge and follows human reasoning skills. Therefore integration of AI enabled system increases the demand data visualization systems and contribute in the growth of the market.

Growing biological data further spur the biological data visualization market

With the rapid increase in the development of low-cost, high-throughput experimental technologies in molecular imaging, genomics, and proteomics among others the intensity of the accumulated data are growing at a faster pace. The success of the life sciences research related to genes, microbiome, and microbes among others depends solely on the quality interpretation of the generated huge amount of high-dimensional data sets to transform the data into clinically understandable and useful information. The IT firms are equipping life science companies with the cloud to offer proper infrastructure and have the ability to integrate all the petabytes of available biomedical informatics data in one place in order to continually process them. This is done to observe the ties between genotypical profiles and phenotypic results. Therefore growing biological data coupled with complexity in the large data further increases the application of data visualization tools resulting in the growth of the market.

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Global Biological Data Visualization Market Segmentation

By Technology

Magnetic Resonance Imaging

Microscopy

Sequencing

Others(X-ray Crystallography)

By Application

Genomic Analysis

Cell Biology

Molecular and Structural Analysis

Others( Alignments, Phylogeny)

By End-User

Pharmaceutical & Biotechnology Companies

Research Institutes

Hospitals and Clinics

By Region

North America

US

Canada

Europe

Germany

UK

France

Spain

Italy

Rest of Europe

Asia-Pacific

China

Japan

India

Rest of Asia-Pacific

Rest of the World

Latin America

The Middle East and Africa

Company Profiles

3M Co.

Agilent Technologies, Inc.

arivis AG

Becton, Dickinson and Co.

Bruker Corp.

Clarivate Analytics

Carl Zeiss AG

Danaher Corp.

Fios Genomics

Genialis, Inc.

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