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Global Synthetic Biology Market to reach USD 111 billion by 2027.

Global Synthetic Biology Market is segmented by The Synthetic Biology Market has been segmented by Product (Core Products and Enabling Products, Enabled products), Application (Healthcare, Chemicals (Including Bio-Fuels), Food and Agriculture, Other Applications (Biosecurity, Energy, and Environment)),Regional Forecasts 2021-2027

Product Code: HLSB-92749216
Publish Date: 2-09-2021
Page: 200

Global Synthetic Biology Market is valued approximately at USD 32.40 billion in 2020 and is anticipated to grow with a healthy growth rate of more than 19.23% over the forecast period 2021-2027. Synthetic biology is an interdisciplinary field that includes the application of engineering concepts to biology. Its primary goal, in comparison to other fields of Science and Technology, is to (re-)design and create biological components and systems that do not previously exist in nature. Researchers combine a chemical synthesis of DNA with improved genomics understanding to enable the rapid production of changed DNA sequences and their integration into two genomes. Synthetic biology’s effective application offers the potential to solve problems in health, manufacturing, and agriculture. Synthetic biology market is driven by the key factors such as Declining Cost of DNA Sequencing and Synthesizing and Increasing Support from Government and Private Institutions. For instance, According to a research article titled “Synthetic Biology’s Role in Fighting COVID-19” published in MolecularCloud in 2020, synthetic biology addresses the need for vaccine development during the COVID-19 pandemic. Drug discovery scientists can use synthetic biology to produce DNA fragments, clones, or entire variant libraries. However, Bio-safety and Bio-security, may impede market growth over the forecast period of 2021-2027.

North America is projected to hold the largest market share in the synthetic biology market due to factors, such as the increasing demand for bio-based products, increased investments in synthetic biology companies, and rising R&D funding for synthetic biology. The United States is a significant contributor to research in the domains of drug discovery, genomics, and proteomics structure prediction, and will shortly be in the region, increasing the synthetic biology market’s growth.

Major market player included in this report are:

Integrated DNA Technologies Inc.
Amyris Inc.
Precigen, Inc
Thermo Fisher Scientific Inc.
New England Biolabs Inc
Koninklijke DSM N.V.
Du Pont De Nemours and Company
Novozymes A/S
Synthetic Genomics Inc.
Genscript

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Product:
Core Products
Enabling Products
Enabled Products
By Application:
Healthcare
Chemicals (Including Bio-Fuels)
Food and Agriculture
Other Applications (Biosecurity, Energy, and Environment)
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019
Base year – 2020
Forecast period – 2021 to 2027.

Target Audience of the Global Synthetic Biology Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2027 (USD Billion)
1.2.1. Synthetic Biology Market, by region, 2019-2027 (USD Billion)
1.2.2. Synthetic Biology Market, by Product, 2019-2027 (USD Billion)
1.2.3. Synthetic Biology Market, by Application, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Synthetic Biology Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Synthetic Biology Market Dynamics
3.1. Synthetic Biology Market Impact Analysis (2019-2027)
3.1.1. Market Drivers
3.1.1.1. Declining Cost of DNA Sequencing and Synthesizing
3.1.1.2. Increasing Support from Government and Private Institutions
3.1.2. Market Restraint
3.1.2.1. Bio-safety and Bio-security
3.1.2.2. Ethical Issues
3.1.3. Market Opportunities
3.1.3.1. Growth in research on synthetic drugs and vaccines
3.1.3.2. Rise in the need for fuel alternatives
Chapter 4. Global Synthetic Biology Market: Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economic
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Synthetic Biology Market, by Product
5.1. Market Snapshot
5.2. Global Synthetic Biology Market by Product, Performance – Potential Analysis
5.3. Global Synthetic Biology Market Estimates & Forecasts by Product 2018-2027 (USD Billion)
5.4. Synthetic Biology Market, Sub Segment Analysis
5.4.1. Core Products
5.4.2. Enabling Products
5.4.3. Enabled Products
Chapter 6. Global Synthetic Biology Market, by Application
6.1. Market Snapshot
6.2. Global Synthetic Biology Market by Application, Performance – Potential Analysis
6.3. Global Synthetic Biology Market Estimates & Forecasts by Application 2018-2027 (USD Billion)
6.4. Synthetic Biology Market, Sub Segment Analysis
6.4.1. Healthcare
6.4.2. Chemicals (Including Bio-Fuels)
6.4.3. Food and Agriculture
6.4.4. Other Applications (Biosecurity, Energy, and Environment)
Chapter 7. Global Synthetic Biology Market, Regional Analysis
7.1. Synthetic Biology Market, Regional Market Snapshot
7.2. North America Synthetic Biology Market
7.2.1. U.S. Synthetic Biology Market
7.2.1.1. Product breakdown estimates & forecasts, 2018-2027
7.2.1.2. Application breakdown estimates & forecasts, 2018-2027
7.2.2. Canada Synthetic Biology Market
7.3. Europe Synthetic Biology Market Snapshot
7.3.1. U.K. Synthetic Biology Market
7.3.2. Germany Synthetic Biology Market
7.3.3. France Synthetic Biology Market
7.3.4. Spain Synthetic Biology Market
7.3.5. Italy Synthetic Biology Market
7.3.6. Rest of Europe Synthetic Biology Market
7.4. Asia-Pacific Synthetic Biology Market Snapshot
7.4.1. China Synthetic Biology Market
7.4.2. India Synthetic Biology Market
7.4.3. Japan Synthetic Biology Market
7.4.4. Australia Synthetic Biology Market
7.4.5. South Korea Synthetic Biology Market
7.4.6. Rest of Asia Pacific Synthetic Biology Market
7.5. Latin America Synthetic Biology Market Snapshot
7.5.1. Brazil Synthetic Biology Market
7.5.2. Mexico Synthetic Biology Market
7.6. Rest of The World Synthetic Biology Market
Chapter 8. Competitive Intelligence
8.1. Top Market Strategies
8.2. Company Profiles
8.2.1. Integrated DNA Technologies Inc.
8.2.1.1. Key Information
8.2.1.2. Overview
8.2.1.3. Financial (Subject to Data Availability)
8.2.1.4. Product Summary
8.2.1.5. Recent Developments
8.2.2. Amyris Inc.
8.2.3. Precigen, Inc
8.2.4. Thermo Fisher Scientific Inc.
8.2.5. New England Biolabs Inc
8.2.6. Koninklijke DSM N.V.
8.2.7. Du Pont De Nemours and Company
8.2.8. Novozymes A/S
8.2.9. Synthetic Genomics Inc.
8.2.10. Genscript
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
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Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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