Structural Biology And Molecular Modeling Techniques Global Market Report 2024 - By Drivers, Size, Share, Report, Outlook By 2033

The Business Research Company has updated its global market reports, featuring the latest data for 2024 and projections up to 2710

The Business Research Company offers in-depth market insights through Structural Biology And Molecular Modeling Techniques Global Market Report 2024, providing businesses with a competitive advantage by thoroughly analyzing the market structure, including estimates for numerous segments and sub-segments.

Market Size And Growth Forecast:
The structural biology and molecular modeling techniques market size has grown rapidly in recent years. It will grow from $7.58 billion in 2023 to $9 billion in 2024 at a compound annual growth rate (CAGR) of 18.7%. The growth in the historic period can be attributed to emergence of cryo-electron microscopy, pharmaceutical research and drug discovery, understanding enzyme mechanisms, growth in structural genomics initiatives, validation of drug targets, structural insights into viral proteins, drug resistance studies..

The structural biology and molecular modeling techniques market size is expected to see rapid growth in the next few years. It will grow to $17.39 billion in 2028 at a compound annual growth rate (CAGR) of 17.9%. The growth in the forecast period can be attributed to expansion of fragment-based drug design, advancements in hybrid methods, rapid expansion of structural proteomics, precision medicine applications in oncology, structural biology in neuroscience research, application in rna biology, advancements in structural bioinformatics.. Major trends in the forecast period include integration of artificial intelligence (ai), hybrid methods for structural determination, single-particle analysis in cryo-em, membrane protein structures, open-source software development, nmr spectroscopy, structural biology in personalized medicine, technological advances in x-ray crystallography..

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Market Segmentation:
The structural biology and molecular modeling techniques market covered in this report is segmented -
1) By Tools: SaaS And Standalone Modeling, Visualization And Analysis, Databases, Other Tools
2) By Application: Drug Development, Drug Discovery, Other Applications
3) By End-Users: Pharmaceutical, Biotechnological, Academic, Clinical Trial

Major Driver - Rising Prevalence Of Chronic Diseases To Drive Market Growth
The rising prevalence of chronic diseases is expected to propel the growth of the structural biology and molecular modeling techniques market. Chronic disease often lasts for three months or longer and may worsen with time. The most prevalent chronic diseases are cancer, heart disease, stroke, diabetes, and arthritis. Structural biology is being used to investigate the origins of illness, and structure-guided approaches have demonstrated that they contribute to many aspects of early drug discovery, both computationally and empirically. The structure can aid in understanding the effects of human genetic sickness mutations and the effects of cancer and infectious disease treatment resistance. For instance, in January 2023, according to the National Center for Biotechnology Information (NCBI), a US-based National Library of Medicine, there would be 142.66 million people with chronic diseases worldwide by the year 2050, up from 71.522 million in 2020. Therefore, the rising prevalence of chronic diseases is driving the growth of the structural biology and molecular modeling techniques market.

Competitive Landscape:
Major companies operating in the structural biology and molecular modeling techniques market report are Thermo Fisher Scientific Inc., Agilent Technologies Inc., Agile Molecule Inc., Bruker Corporation, Dassault Systèmes SE, Illumina Inc., Chemical Computing Group ULC, Biomax Informatics AG, Affymetrix Inc., Horiba Ltd., Charles River Laboratories Inc., Adjuvance Technologies Inc., Novartis AG, QIAGEN N.V., Avanti Polar Lipids Inc., Acellera Ltd., Schrödinger Inc., OpenEye Scientific Software Inc., BioSolveIT GmbH, Optibrium Ltd., Simulations Plus Inc., Certara L.P., Genedata AG, Inte:Ligand GmbH, Molecular Networks GmbH, Molecular Discovery Ltd., Cresset Group Ltd., Biotherapeutics Inc., Biovista Inc., Collaborative Drug Discovery Inc., Dotmatics Ltd., Insilico Biotechnology AG, Leadscope Inc.

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Top Trend - Tecchnological Advancements Transforming The Structural Biology And Molecular Modeling Techniques Market
Technological advancements are the key trend gaining popularity in the structural biology and molecular modeling techniques market. Major companies operating in the market are developing innovative technologies such as next-generation sequencing-based ctDNA Testing, silico screening of 3-D chemical structures, advanced software, and others to sustain their position in the market. For instance, in March 2022, PerkinElmer Inc., a US-based provider of products, solutions, and services to the applied services, life sciences, and diagnostics markets introduced ChemDraw V21 software that enables quick native import, animation, and sharing of 3D chemical structures in Microsoft PowerPoint. The essential improvement makes it quicker and simpler for chemists to produce more insightful research reports. By using the brand-new ChemDraw V21 software, scientists may easily paste a live 3D rendition of their molecule into the Microsoft PowerPoint program, where they can see, rotate, and share the image with its atom and bond color highlights fully preserved.

The Table Of Content For The Market Report Include:
1. Executive Summary
2. Structural Biology And Molecular Modeling Techniques Market Characteristics
3. Structural Biology And Molecular Modeling Techniques Market Trends And Strategies
4. Structural Biology And Molecular Modeling Techniques Market - Macro Economic Scenario
5. Structural Biology And Molecular Modeling Techniques Market Size And Growth
…..
27. Structural Biology And Molecular Modeling Techniques Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix

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