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Global Protein Engineering Market to reach USD 5.60 billion by 2028.

Global Protein Engineering Market to reach USD 5.60 billion by 2028.

Product Code: HLSB-13990035
Publish Date: 23-03-2022
Page: 200

Global Protein Engineering Market is valued approximately USD 2.47 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 12.4% over the forecast period 2022-2028.

Protein engineering is the method of evolving valuable or beneficial proteins with particular structures, or desired properties. This procedure is carried out for understanding protein folding and recognition for protein design principles. Protein engineering gains huge traction among various verticals such as contract research organizations, biopharmaceutical companies, academic research institutes, and many others. The growing incidences of protein-deficient diseases, increasing penetration of protein drugs over non-protein drugs, and rising investments in synthetic biology are the primary factors that may accelerate the market growth across the globe. In addition, developments of the product by the leading company, rising number of government funding for protein engineering coupled with growing R&D spendings in the health industry are further stimulating the market demand in the approaching years. For instance, in 2019, Merck KGaA involved into a license agreement with Amunix Pharmaceuticals, Inc. (US). The aim of this agreement is Amunix received the rights to develop its therapeutics by the adoption of protease-triggered immune activator (ProTIA) technology platform. Also, in 2019, Agilent Technologies acquired BioTek Instruments that enable the company to develop its proficiency in cell analysis and establish its position in the immuno-oncology and immunotherapy markets. However, the lack of skilled professionals to strategize the processes and the high cost of instruments impedes the growth of the market over the forecast period of 2022-2028. Also, increasing investments in the research and development activities and development of the emerging economies is anticipated to act as a catalyzing factor for the market demand during the forecast period.

The key regions considered for the global Protein Engineering Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America is the leading region across the world in terms of market share owing to the rising R&D expenditure, availability of novel technologies and instruments for drug discovery research, and presence of major market players in the region. Whereas, Asia-Pacific is anticipated to exhibit the highest CAGR over the forecast period 2022-2028. Factors such as government initiatives and funding for protein-based drug research, as well as developments in genomics and proteomics research, would create lucrative growth prospects for the Protein Engineering Market across the Asia-Pacific region.

Major market players included in this report are:
Bio-Rad Laboratories, Inc.
Thermo Fisher Scientific, Inc.
Bruker Corporation
Agilent Technologies, Inc.
Waters Corporation
Danaher Corporation
Codexis, Inc.
New England Biolabs, Inc.
GE Healthcare Company
Promega Corporation

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 & Services:
Instruments
Consumables
Software & Services
By Protein Type:
Monoclonal Antibodies
Erythropoietin
Interferons
Vaccines
Colony-stimulating Factors
Growth Hormones
Coagulation Factors
Other Proteins
By Technology:
Rational Protein Design
Irrational Protein Design
By End User:
Biopharmaceutical Companies
Contract Research Organizations
Academic Research Institutes
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, 2020
Base year – 2021
Forecast period – 2022 to 2028

Target Audience of the Global Protein Engineering 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
I

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Billion)
1.2.1. Global Protein Engineering Market, by Region, 2020-2028 (USD Billion)
1.2.2. Global Protein Engineering Market, by Product & Service, 2020-2028 (USD Billion)
1.2.3. Global Protein Engineering Market, by Protein Type, 2020-2028 (USD Billion)
1.2.4. Global Protein Engineering Market, by Technology, 2020-2028 (USD Billion)
1.2.5. Global Protein Engineering Market, by End User, 2020-2028 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Protein Engineering 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 Protein Engineering Market Dynamics
3.1. Protein Engineering Market Impact Analysis (2020-2028)
3.1.1. Market Drivers
3.1.1.1. Growing investments in synthetic biology
3.1.1.2. Increasing prevalence of protein-deficient diseases
3.1.2. Market Challenges
3.1.2.1. Lack of skilled professionals to strategize the processes
3.1.2.2. High cost of instruments
3.1.3. Market Opportunities
3.1.3.1. Increasing investments in the research and development activities
3.1.3.2. Development of the emerging economies
Chapter 4. Global Protein Engineering 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 (2019-2028)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
4.5. Top investment opportunity
4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1.1. Assessment of the overall impact of COVID-19 on the industry
5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global Protein Engineering Market, by Product & Service
6.1. Market Snapshot
6.2. Global Protein Engineering Market by Product & Service, Performance – Potential Analysis
6.3. Global Protein Engineering Market Estimates & Forecasts by Product & Service 2019-2028 (USD Billion)
6.4. Protein Engineering Market, Sub Segment Analysis
6.4.1. Instruments
6.4.2. Consumables
6.4.3. Software & Services
Chapter 7. Global Protein Engineering Market, by Protein Type
7.1. Market Snapshot
7.2. Global Protein Engineering Market by Protein Type, Performance – Potential Analysis
7.3. Global Protein Engineering Market Estimates & Forecasts by Protein Type 2019-2028 (USD Billion)
7.4. Protein Engineering Market, Sub Segment Analysis
7.4.1. Monoclonal Antibodies
7.4.2. Erythropoietin
7.4.3. Interferons
7.4.4. Vaccines
7.4.5. Colony-stimulating Factors
7.4.6. Growth Hormones
7.4.7. Coagulation Factors
7.4.8. Other Proteins
Chapter 8. Global Protein Engineering Market, by Technology
8.1. Market Snapshot
8.2. Global Protein Engineering Market by Technology, Performance – Potential Analysis
8.3. Global Protein Engineering Market Estimates & Forecasts by Technology 2019-2028 (USD Billion)
8.4. Protein Engineering Market, Sub Segment Analysis
8.4.1. Rational Protein Design
8.4.2. Irrational Protein Design
Chapter 9. Global Protein Engineering Market, by End User
9.1. Market Snapshot
9.2. Global Protein Engineering Market by End User, Performance – Potential Analysis
9.3. Global Protein Engineering Market Estimates & Forecasts by End User 2019-2028 (USD Billion)
9.4. Protein Engineering Market, Sub Segment Analysis
9.4.1. Biopharmaceutical Companies
9.4.2. Contract Research Organizations
9.4.3. Academic Research Institutes
Chapter 10. Global Protein Engineering Market, Regional Analysis
10.1. Protein Engineering Market, Regional Market Snapshot
10.2. North America Protein Engineering Market
10.2.1. U.S. Protein Engineering Market
10.2.1.1. Product & Service estimates & forecasts, 2019-2028
10.2.1.2. Protein Type estimates & forecasts, 2019-2028
10.2.1.3. Technology estimates & forecasts, 2019-2028
10.2.1.4. End User estimates & forecasts, 2019-2028
10.2.2. Canada Protein Engineering Market
10.3. Europe Protein Engineering Market Snapshot
10.3.1. U.K. Protein Engineering Market
10.3.2. Germany Protein Engineering Market
10.3.3. France Protein Engineering Market
10.3.4. Spain Protein Engineering Market
10.3.5. Italy Protein Engineering Market
10.3.6. Rest of Europe Protein Engineering Market
10.4. Asia-Pacific Protein Engineering Market Snapshot
10.4.1. China Protein Engineering Market
10.4.2. India Protein Engineering Market
10.4.3. Japan Protein Engineering Market
10.4.4. Australia Protein Engineering Market
10.4.5. South Korea Protein Engineering Market
10.4.6. Rest of Asia Pacific Protein Engineering Market
10.5. Latin America Protein Engineering Market Snapshot
10.5.1. Brazil Protein Engineering Market
10.5.2. Mexico Protein Engineering Market
10.6. Rest of The World Protein Engineering Market
Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. Bio-Rad Laboratories, Inc.
11.2.1.1. Key Information
11.2.1.2. Overview
11.2.1.3. Financial (Subject to Data Availability)
11.2.1.4. Product Summary
11.2.1.5. Recent Developments
11.2.2. Thermo Fisher Scientific, Inc.
11.2.3. Bruker Corporation
11.2.4. Agilent Technologies, Inc.
11.2.5. Waters Corporation
11.2.6. Danaher Corporation
11.2.7. Codexis, Inc.
11.2.8. New England Biolabs, Inc.
11.2.9. GE Healthcare Company
11.2.10. Promega Corporation
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. Research Assumption

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Data Collection:
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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.
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