The market is likely to reach a valuation of US$ 19.9 Bn by the end of forecast period.

 

As per the research by Fact.MR, from 2018 to 2022, the market value of life sciences data mining and visualization market increased at a rate of 8.9% CAGR, with U.S., China and U.K commanding high shares in the global market.

Life sciences data mining and visualization refers to the process of extracting valuable insights and information from large and complex datasets in the life sciences.

Fact.MR, in its latest business intelligence study, depicts the nuts and bolts of the global Life Sciences Data Mining and Visualization market. The report presents detailed information regarding the drivers, restraints, opportunities and trends affecting market growth.

Each segment along with its sub-segment is analyzed in terms of value and volume. Further, the report elaborates the market behavior of each vendor operating in the Life Sciences Data Mining and Visualization market.

Download Sample Copy of This Report:

https://www.factmr.com/connectus/sample?flag=S&rep_id=459

Key findings of the Life Sciences Data Mining and Visualization market study:

·         Regional breakdown of the Life Sciences Data Mining and Visualization market based on predefined taxonomy.

·         Innovative manufacturing processes implemented by Life Sciences Data Mining and Visualization vendors in detail.

·         Region-wise and country-wise fragmentation of the Life Sciences Data Mining and Visualization market to grasp the revenue, and growth outlook in these areas.

·         Changing preferences among consumers across various regions and countries.

·         Factors (Positive and Negative) impacting the growth of the global Life Sciences Data Mining and Visualization market.

Competitive Landscape:

Prominent players of life sciences data mining and visualization globally are Accenture, Cognizant, Dundas Data Visualization Inc., IBM Corporation, InetSoft Technology Corporation, Information Builders, IQVIA, Microsoft Corporation, MicroStrategy Inc., Oracle Corporation, Pentaho Corporation, SAP SE, SAS Institute Inc., Tableau Software, Take Solutions Limited, TIBCO Software Inc. and Wipro Limited. Companies are developing interactive, user-friendly visualization tools that enable researchers, clinicians, and drug developers to explore and understand large and complex datasets.

The key focus of vendors is to provide high-quality and value-added services that enable customers to gain insights from large and complex datasets, and to make better-informed decisions in the drug development and precision medicine space.

  • In November 2022, Sony launched a flow cytometry data analysis cloud solution that can rapidly detect rare cells, such as stem cells and cancer cells, from a extensive variety of cell populations, using data acquired from flow cytometers named SFAi-Life Sciences Cloud Platform.
  • Snowflake, a data cloud company launched the Healthcare & Life Sciences Data Cloud in March 2022 for better patient care and business results. Healthcare companies will have a unified, integrated, and cross-cloud data platform that eliminates technological and institutional data silos with the launch of Snowflake Healthcare & Life Sciences Data Cloud.

Fact.MR has provided detailed information about the service offering of key vendors of life sciences data mining and visualization positioned across regions, revenue growth, deployment scale, and speculative technological expansion, in the recently published report.

Segmentation of Life Sciences Data Mining and Visualization Research:

·         By Component:

    • Analytics
      • Descriptive
      • Diagnostics
      • Predictive
      • Prescriptive
    • Data Mining
      • Identification of Biomarkers
      • Image Analysis
      • Structural Biology
      • Statistical Data Analysis and Programming
      • Biological Modeling
    • Visualization

·         By License Structure:

    • Yearly Subscription
    • Monthly Subscription
    • One Time License
    • Other Licensing Structures

·         By End Use Industry:

    • Academia & Universities
    • Biotechnology Industry
    • Contract Research Organizations (CROs) and Contract Manufacturing Organizations (CMOs)
    • Diagnostics and Screening
    • Government
    • Pharmaceutical Industry
    • Hospitals and Healthcare Centers
    • Medical Devices Manufacturing
    • Digital Health
    • Others

·         By Deployment:

    • On-Cloud
    • On-Premise
    • Hybrid

·         Life Sciences Data Mining and Visualization by Region:

    • North America
    • Latin America
    • Europe
    • East Asia
    • South Asia & Oceania
    • MEA

 

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