Global Protein Design and Engineering Market Size is valued at USD 6.4 Billion in 2024 and is predicted to reach USD 25.1 Billion by the year 2034 at a 15.0 % CAGR during the forecast period for 2025-2034.
Protein Design and Engineering Market Size, Share & Trends Analysis Report By Type of Protein Engineering Approach Used (Rational Designing, Directed Evolution, Semi-Rational Designing), By Protein Types (Antibodies, Peptides, Enzymes, Vaccines, Others), By Type of Application (Therapeutics, Diagnostics), By End-Users, By Region, And By Segment Forecasts, 2025 to 2034
Key Industry Insights & Findings from the Report:
The Protein engineering and designing techniques are used to identify specific amino acid sequence changes and alter this sequence for desired functional properties. Mainly computational simulation methods and experimental/molecular methods are utilized for protein engineering.
Major factors such as increasing government initiatives & funding for the development of protein designing systems, fast advancements in technologies are primarily driving the market growth. High prevalence of protein-deficient diseases, and the surging demand for protein engineering tools by biopharmaceutical companies is also expected to support the market growth. The increasing collaborations between companies operating in this market to develop new testing technologies and accelerate the resource-intensive process of protein engineering are enhancing the growth opportunities of the protein design and engineering market. For instance, in January 2021, Zymvol Biomodeling (Spain) collaborated with Aminoverse, a biotech company specializing in Enzyme discovery and design, to develop custom-made alcohol dehydrogenases, an enzyme most commonly used in the flavors and fragrances and the fine chemicals industry.
However, the expensive instruments and the increasing maintenance cost of the protein engineering equipment may hinder the market growth during the estimated timeframe.
The Protein design and engineering market is segmented into the protein engineering approach used, protein types, type of application, end-users, and region. The protein engineering approach used segment comprises rational designing, directed evolution, and semi-rational designing. The rational designing segment is estimated to dominate this market during the forecast period due to its rising use in antibody and enzyme designing. The market is classified into antibodies, peptides, enzymes, vaccines, and others based on the protein types. The Antibodies are expected to be the fastest-growing segment of this market, owing to their increasing applications in the medical sector. The market is grouped into therapeutics and diagnostics by type of application. The market is segmented into pharma/biotech firms, CROs (contract research organizations) & research, and academic institutes by end-users. The pharma/biotech firms are projected to hold a significant market share in the coming years due to the rising demand for advanced drug and therapy treatments to cure chronic diseases. Region-wise, the market is studied across North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa.
The Asia-Pacific market is likely to witness rapid growth during the forecast period (2019-2030) due to the well-established healthcare infrastructure, growing awareness regarding protein engineering, and the rising government efforts to develop protein designing methods.
| Report Attribute | Specifications |
| Market Size Value In 2024 | USD 6.4 Billion |
| Revenue Forecast In 2034 | USD 25.1 Billion |
| Growth Rate CAGR | CAGR of 15.0 % from 2025 to 2034 |
| Quantitative Units | Representation of revenue in US$ Bn, and CAGR from 2025 to 2034 |
| Historic Year | 2021 to 2024 |
| Forecast Year | 2025-2034 |
| Report Coverage | The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
| Segments Covered | By Protein Engineering Approach Used, Protein Types, Type Of Application, End-users |
| Regional Scope | North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
| Country Scope | U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea |
| Competitive Landscape | ATUM (US), Creative BioMart (US), Creative Biostructure (US), Creative Enzymes (US), Absolute Antibody (UK), EUCODIS Bioscience (Austria), Fusion Antibodies (UK), Innovagen (Sweden), ZYMVOL (Spain), Averring Biotech, EnzymeWorks (China), GeNext Genomics (India), Quantumzyme (India), and others. |
| Customization Scope | Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
| Pricing And Available Payment Methods | Explore pricing alternatives that are customized to your specific requirements. |
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.