Global 3D Protein Structure Analysis Market

Report ID : 1373 | Published : 2022-09-29 | Pages: | Format: PDF/EXCEL

The market size of the Global 3D Protein Structure Analysis market in the year 2021 is valued at 1059.56 million and is predicted to expand at a 10.6% CAGR during the forecast period.  The three-dimensional arrangement of atoms determines a protein's biological function. This could be catalytic residues in an active site or how a protein interacts with others for structural or regulatory purposes. Protein structures help us understand how a protein operates, allowing us to form theories about how to alter, control, or modify it. Knowing a protein's structure could allow site-directed alterations to change function. Predict protein-binding compounds. The amino acid sequence of a protein decides the stable three-dimensional forms, or conformations, into which it folds. It is becoming increasingly apparent that the number of unique folds in proteins is significantly smaller than the total number of protein structures because X-ray crystallography and nuclear magnetic resonance (NMR) are rapidly being used to determine a multitude of different protein structures. Understanding a protein's structure and function in the cell depends on knowing its amino acid sequence. For example, following the instructions recorded in the genetic code, the collection of nucleotides that makes up a gene is first translated into a collection of amino acids. Only after taking on a three-dimensional shape, the so-called tertiary, or native structure of the protein, does the matching linear chain of amino acids become functional.

Rising emphasis on automation and miniaturisation in X-ray crystallography workflow influence the 3D protein structure analysis market growth. Also, increase in Drug Discovery and Development R&D Expenditures and Technological Advances in Protein Structure Analysis Equipment. Drug discovery makes extensive use of artificial intelligence by researchers and pharmaceutical businesses. Recently, DeepMind, the artificial intelligence unit of Google's parent firm Alphabet, has stated that it has successfully foreseen the structure of nearly every protein in the human body. In addition, they can anticipate the structure of thousands of additional proteins found in species such as mice, fruit flies, and yeast that are essential to scientific research.

The major limitations are expenditure, time, and knowledge. In order to solve structures using crystallography and nuclear magnetic resonance (NMR), one has to have received very specific training and a high level of experience. Additionally, the expense of resolving a unique structure is quite significant.

The 3D protein structure analysis market is segmented by product and end-user. The product segment comprises Consumable (X-Ray Crystallography, Nuclear Magnetic Resonance (NMR) Spectroscopy, Cryo-Electron Microscopy (Cryo-EM), Small Angle X-Ray Scattering (SAXS) ), Equipment (X-Ray Crystallography, Nuclear Magnetic Resonance (NMR) Spectroscopy, Cryo-Electron Microscopy (Cryo-EM), Small Angle X-Ray Scattering (SAXS)), and Computational Software. The second major segment is the end-user segment which includes Biopharmaceutical companies, Academic and Research institutes, and Other End-User. In which the segment of biopharmaceutical companies is the dominant market end user.

The North American market is anticipated to grow due to significant funding, collaborations, investments, and innovations for economic development and public health, as well as the region's prioritisation of using 3D protein structures for molecular research and the development of novel drugs.

The significant market companies are Merck KGaA, Bruker Corporation, JEOL Ltd., Spectris plc, Schrodinger, Inc., Thermo Fisher Scientific Inc., Molecular Dimensions, DNASTAR, Arinax Scientific Instrumentation., RosettaCommons.org, Cambridge Isotope Laboratories, Inc., HAMPTON RESEARCH CORP., Dassault Systemes, Rigaku Corporation, Jena Bioscience GmbH and other market players.

  • Merck KGaA
  • Bruker Corporation
  • JEOL Ltd.
  • Spectris plc
  • Schrodinger, Inc.
  • Thermo Fisher Scientific Inc.
  • Molecular Dimensions
  • DNASTAR
  • Arinax Scientific Instrumentation.
  • org
  • Cambridge Isotope Laboratories, Inc.
  • HAMPTON RESEARCH CORP.
  • Dassault Systemes
  • Rigaku Corporation
  • Jena Bioscience GmbH

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global 3D Protein Structure Analysis Market Snapshot

Chapter 4. Global 3D Protein Structure Analysis Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: By Product Estimates & Trend Analysis

5.1. By Product & Market Share, 2020 & 2030

5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By Product:

5.2.1. Consumable

5.2.1.1. X-Ray Crystallography

5.2.1.2. Nuclear Magnetic Resonance (NMR) Spectroscopy

5.2.1.3. Cryo-Electron Microscopy (Cryo-EM)

5.2.1.4. Small Angle X-Ray Scattering (SAXS)

5.2.2. Equipment

5.2.2.1. X-Ray Crystallography

5.2.2.2. Nuclear Magnetic Resonance (NMR) Spectroscopy

5.2.2.3. Cryo-Electron Microscopy (Cryo-EM)

5.2.2.4. Small Angle X-Ray Scattering (SAXS)

5.2.3. Computational Software

Chapter 6. Market Segmentation 2: By End-user Estimates & Trend Analysis

6.1. By End-user & Market Share, 2020 & 2030

6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By End-user:

6.2.1. Biopharmaceutical Company

6.2.2. Academic and Research Institute

6.2.3. Other End User

Chapter 7. 3D Protein Structure Analysis Market Segmentation 3: Regional Estimates & Trend Analysis

7.1. North America

7.1.1. North America 3D Protein Structure Analysis Market revenue (US$ Million) estimates and forecasts By Product, 2020-2030

7.1.2. North America 3D Protein Structure Analysis Market revenue (US$ Million) estimates and forecasts By End-user, 2020-2030

7.1.3. North America 3D Protein Structure Analysis Market revenue (US$ Million) estimates and forecasts by country, 2020-2030

7.2. Europe

7.2.1. Europe 3D Protein Structure Analysis Market revenue (US$ Million) By Product, 2020-2030

7.2.2. Europe 3D Protein Structure Analysis Market revenue (US$ Million) By End-user, 2020-2030

7.2.3. Europe 3D Protein Structure Analysis Market revenue (US$ Million) by country, 2020-2030

7.3. Asia Pacific

7.3.1. Asia Pacific 3D Protein Structure Analysis Market revenue (US$ Million) By Product, 2020-2030

7.3.2. Asia Pacific 3D Protein Structure Analysis Market revenue (US$ Million) By End-user, 2020-2030

7.3.3. Asia Pacific 3D Protein Structure Analysis Market revenue (US$ Million) by country, 2020-2030

7.4. Latin America

7.4.1. Latin America 3D Protein Structure Analysis Market revenue (US$ Million) By Product, (US$ Million)

7.4.2. Latin America 3D Protein Structure Analysis Market revenue (US$ Million) By End-user, (US$ Million)

7.4.3. Latin America 3D Protein Structure Analysis Market revenue (US$ Million) by country, 2020-2030

7.5. Middle East & Africa

7.5.1. Middle East & Africa 3D Protein Structure Analysis Market revenue (US$ Million) By Product, (US$ Million)

7.5.2. Middle East & Africa 3D Protein Structure Analysis Market revenue (US$ Million) By End-user, (US$ Million)

7.5.3. Middle East & Africa 3D Protein Structure Analysis Market revenue (US$ Million) by country, 2020-2030

Chapter 8. Competitive Landscape

8.1. Major Mergers and Acquisitions/Strategic Alliances

8.2. Company Profiles

8.2.1. Merck KGaA

8.2.2. Bruker Corporation

8.2.3. JEOL Ltd.

8.2.4. Spectris plc

8.2.5. Schrodinger, Inc.

8.2.6. Thermo Fisher Scientific Inc.

8.2.7. Molecular Dimensions

8.2.8. DNASTAR

8.2.9. Arinax Scientific Instrumentation.

8.2.10. RosettaCommons.org

8.2.11. Cambridge Isotope Laboratories, Inc.

8.2.12. HAMPTON RESEARCH CORP.

8.2.13. Dassault Systemes

8.2.14. Rigaku Corporation

8.2.15. Jena Bioscience GmbH

8.2.16. Other Prominent Players

Global 3D protein structure analysis  Market, by Product, 2022-2030 (Value US$ Mn)

  • Consumable
    • X-Ray Crystallography
    • Nuclear Magnetic Resonance (NMR) Spectroscopy
    • Cryo-Electron Microscopy (Cryo-EM)
    • Small Angle X-Ray Scattering (SAXS)
  • Equipment
    • X-Ray Crystallography
    • Nuclear Magnetic Resonance (NMR) Spectroscopy
    • Cryo-Electron Microscopy (Cryo-EM)
    • Small Angle X-Ray Scattering (SAXS)
  • Computational Software           

Global 3D protein structure analysis  Market, by End-User, 2022-2030 (Value US$ Mn)

  • Biopharmaceutical Company
  • Academic and Research Institute
  • Other End User

Global 3D protein structure analysis  Market, by Region, 2022-2030 (Value US$ Mn)

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East & Africa

North America 3D protein structure analysis  Market, by Country, 2022-2030 (Value US$ Mn)

  • U.S.
  • Canada

Europe 3D protein structure analysis  Market, by Country, 2022-2030 (Value US$ Mn)

  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Rest of Europe

Asia Pacific 3D protein structure analysis  Market, by Country, 2022-2030 (Value US$ Mn)

  • India
  • China
  • Japan
  • South Korea
  • Australia & New Zealand

Latin America 3D protein structure analysis  Market, by Country, 2022-2030 (Value US$ Mn)

  • Brazil
  • Mexico
  • Rest of Latin America

Middle East & Africa 3D protein structure analysis  Market, by Country, 2022-2030 (Value US$ Mn)

  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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