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2024933

단백질 공학 시장 규모, 점유율, 동향 및 예측 : 제품 및 서비스별, 단백질 유형별, 기술별, 최종 사용자별, 지역별(2026-2034년)

Protein Engineering Market Size, Share, Trends and Forecast by Product & Services, Protein Type, Technology, End User and Region, 2026-2034

발행일: | 리서치사: 구분자 IMARC | 페이지 정보: 영문 138 Pages | 배송안내 : 2-3일 (영업일 기준)

    
    
    




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※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

2025년 세계의 단백질 공학 시장 규모는 39억 달러로 평가되었습니다. 향후, IMARC Group은 2034년까지 시장 규모가 86억 달러에 이르고, 2026-2034년에 걸쳐 CAGR 8.74%를 나타낼 것으로 예측했습니다. 현재 북미가 시장을 주도하고 있으며, 2025년에는 40.6%의 큰 시장 점유율을 차지했습니다. 인공지능(AI)을 활용한 자동화로 단백질 모델링, 신약개발, 산업용 효소의 최적화가 촉진되고 있으며, 이는 단백질 공학 시장 점유율 확대의 중요한 요인으로 작용하고 있습니다. 정부의 자금 지원은 학술 연구를 지원하고 단백질 치료 및 합성 생물학 분야의 혁신을 가속화하고 있습니다.

정부의 자금 지원과 학술 연구는 혁신과 상업화를 통해 단백질 공학 시장의 발전을 가속화하고 있습니다. 공공연구비는 단백질의 구조, 기능, 생명공학 응용에 관한 기초연구를 지원하고 있습니다. 정부 기관은 새로운 단백질 기반 치료제와 산업용 효소 개발을 위해 대학에 자금을 지원하고 있습니다. 연구기관은 생명공학 기업들과 협력하여 학술적 발견을 상업적 단백질 공학 솔루션으로 전환하고 있습니다. 연방정부의 자금 지원 프로그램은 합성생물학의 발전을 주도하고 있으며, 다양한 용도의 정밀하게 설계된 단백질을 구현할 수 있도록 하고 있습니다. 학계 연구자들은 단백질 발현 시스템을 최적화하고 제약 및 산업용 바이오 제조의 확장성을 향상시키고 있습니다. 정부 지원 이니셔티브는 AI를 활용한 단백질 모델링을 촉진하고, 신약개발과 표적치료제 개발을 강화하고 있습니다. 학계 연구기관들은 기능을 향상시키기 위한 단백질 수정을 정교화하기 위해 새로운 유전자 편집 기술을 개발하고 있습니다.

인공지능(AI)을 활용한 자동화는 효율성, 정확성, 확장성을 향상시킴으로써 미국 단백질 공학 시장을 변화시키고 있습니다. 머신러닝(ML) 알고리즘은 단백질 구조를 예측하여 신약개발 및 바이오의약품 개발 프로세스를 개선합니다. AI 기반 도구는 치료용 및 산업용으로 단백질의 접힘, 안정성, 기능을 최적화하여 단백질 공학 시장 수요를 촉진하고 있습니다. 자동화된 고성능 스크리닝은 후보물질의 선별을 가속화하고, 변형 단백질 개발에 소요되는 시간과 비용을 절감할 수 있습니다. 딥러닝 모델은 방대한 생물학적 데이터 세트를 분석하여 표적 특성을 가진 새로운 단백질 서열을 식별합니다. AI를 활용한 계산생물학은 합리적인 단백질 설계를 강화하고, 분자간 상호작용을 정교화하며, 특이성을 향상시킵니다. 예를 들어, 2024년 11월 임페리얼 칼리지 런던은 샌프란시스코에 위치한 미국 최초의 물리적 거점인 '임페리얼 세계 USA'를 설립했습니다. 이 기지는 AI, 로봇, 클린테크, 생명공학, 공학 생물학에 중점을 두고 2025년까지 100개의 새로운 미국-영국 과학기술 파트너십을 육성하는 것을 목표로 하고 있습니다. 또한, 로봇은 단백질의 정제 및 특성화를 효율화하여 오류를 최소화하고 실험의 재현성을 높입니다. AI를 통합한 실험실 자동화는 대규모 단백질 발현 및 바이오 제조 워크플로우의 효율성을 향상시켜 시장 성장을 더욱 촉진하고 있습니다.

단백질 공학 시장 동향

확대되는 합성생물학 시장

합성생물학에 대한 투자 확대와 단백질 기반 신약개발에 대한 관심 증가가 시장의 주요 성장 촉진요인으로 작용하고 있습니다. IMARC Group의 보고서에 따르면, 세계 합성생물학 시장은 2024년 185억 달러로 평가되었고 2033년에는 667억 달러에 달할 것으로 예상되며, 2025-2033년 사이 15.3%의 연평균 복합 성장률(CAGR)을 나타낼 것으로 예측됩니다. 과학자들은 다양한 산업 및 의료 응용을 위해 안정성, 특이성, 기능을 강화한 맞춤형 단백질을 설계하고 있습니다. AI를 활용한 알고리즘과 CRISPR을 통한 변형 기술로 치료 및 산업적 용도에 맞는 정밀한 단백질 변형이 가능해졌습니다. 설계된 단백질은 효율성과 지속가능성을 향상시켜 신약 개발, 효소 생산, 바이오 소재 분야에 혁명을 일으키고 있습니다. 각 기업들은 합성생물학의 도구를 활용하여 그린 케미스트리 및 지속 가능한 생산 방식에 사용되는 새로운 바이오 촉매를 개발하고 있습니다. 정밀 발효 기술을 통해 영양학적 프로파일과 기능이 개선된 대체 단백질을 생산하고 있습니다. 설계 단백질 유래 바이오 소재는 섬유 및 포장 부문에서 기존 석유화학제품을 대체하고 있습니다. 대사 채널 공학의 발전으로 바이오프로세싱 응용 분야에서 효소 활성을 향상시키는 데 사용되는 단백질의 기능이 확대되고 있으며, 이는 시장 성장을 가속하고 있습니다.

단백질 결핍 질환 증가

단백질 결핍 질환의 높은 유병률은 단백질 공학에 대한 수요를 주도하고 있습니다. 연구에 따르면, 개발도상국에서는 1-9세 유아의 2-10%가 심각한 단백질 및 칼로리 영양실조를 경험하고 있으며, 일부 지역에서는 1-5세 유아의 최대 50%가 경미한 영양결핍을 겪고 있습니다. 영양실조와 관련된 질병이나 단백질 보충이 필요한 유전성 질환이 단백질 공학 기술의 발전에 영향을 미치고 있습니다. 대사장애, 효소결핍증, 유전성 단백질 관련 질환에 효과적으로 대처하기 위해 변형 단백질이 개발되고 있습니다. 바이오제약 기업들은 낭포성 섬유증, 혈우병, 성장호르몬 결핍증 등의 질병을 치료하기 위해 재조합 단백질을 설계하고 있습니다. 단백질 공학의 발전으로 안정성과 효능이 향상된 생체 이용률이 높은 치료용 단백질의 생산이 가능해졌습니다. 연구진은 임상 적용을 위해 흡수성, 반감기, 표적 전달성을 향상시키기 위해 단백질 구조를 변형하고 있습니다. 단백질 결핍 질환에 대한 인식이 높아지면서 맞춤형 의료 솔루션에 사용되는 정밀하게 설계된 단백질에 대한 투자가 증가하고 있습니다. 식물성 및 발효 단백질에 대한 수요 증가는 전 세계인의 식단에서 단백질 부족을 해소하는 데 기여하고 있습니다.

유전공학의 발전

유전공학의 발전은 기능 및 안정성을 높이기 위한 정밀한 변형을 가능하게 함으로써 단백질 공학을 변화시키고 있습니다. AI를 활용한 단백질 설계는 최적화된 구조와 특정 기능을 가진 신규 단백질 개발을 가속화하고 있습니다. 방향성 진화 기술은 자연선택을 모방하여 단백질의 특성을 정교화하여 효율과 성능을 향상시키는 기술입니다. 합성생물학 접근법은 유전자 회로를 통합하여 의약품, 식품, 산업 응용을 위한 맞춤형 단백질을 설계하고 있습니다. 재조합 데옥시리보핵산(DNA) 기술은 우수한 생물학적 활성과 낮은 면역원성을 가진 설계 단백질을 대량 생산할 수 있습니다. 유전자 합성의 혁신으로 특수한 생화학적 용도에 맞게 조정된 인공 단백질 서열을 보다 효율적으로 만들 수 있게 되었습니다. 단백질 폴딩 시뮬레이션은 구조 예측의 정확도를 높여 원하는 특성을 가진 단백질의 정밀한 설계를 가능하게 합니다. 고급 발현 시스템은 상업적 및 의학적 용도로 사용되는 단백질의 수율, 안정성, 생체 이용률을 향상시키고 있습니다. 대사공학은 미생물 및 식물 유래 숙주에서 단백질 생산량을 증가시키기 위해 생합성 채널의 최적화를 진행하고 있습니다.

목차

제1장 서문

제2장 조사 범위와 조사 방법

제3장 주요 요약

제4장 서론

제5장 세계의 단백질 공학 시장

제6장 시장 분석 : 제품 및 서비스별

제7장 시장 분석 : 단백질 유형별

제8장 시장 분석 : 기술별

제9장 시장 분석 : 최종 사용자별

제10장 시장 분석 : 지역별

제11장 SWOT 분석

제12장 밸류체인 분석

제13장 Porter's Five Forces 분석

제14장 가격 분석

제15장 경쟁 구도

KTH 26.05.15

The global protein engineering market size was valued at USD 3.9 Billion in 2025. Looking forward, IMARC Group estimates the market to reach USD 8.6 Billion by 2034, exhibiting a CAGR of 8.74% during 2026-2034. North America currently dominates the market, holding a significant market share of 40.6% in 2025. Artificial intelligence (AI-driven) automation enhances protein modeling, drug discovery, and industrial enzyme optimization, which is a key factor expanding the protein engineering market share. Government funding supports academic research, accelerating innovations in protein therapeutics and synthetic biology.

Government funding and academic research are accelerating advancements in the protein engineering market through innovation and commercialization. Public research grants support foundational studies in protein structure, function, and bioengineering applications. Government agencies allocate funds to universities for developing novel protein-based therapeutics and industrial enzymes. Research institutions collaborate with biotech firms to translate academic discoveries into commercial protein engineering solutions. Federal funding programs drive advancements in synthetic biology, enabling precision-designed proteins for diverse applications. Academic researchers optimize protein expression systems, improving scalability for pharmaceutical and industrial biomanufacturing. Government-backed initiatives promote AI-driven protein modeling, enhancing drug discovery and targeted therapy development. Academic labs develop new gene editing techniques to refine protein modifications for enhanced functionality.

Artificial intelligence (AI)-driven automation is transforming the United States protein engineering market by enhancing efficiency, accuracy, and scalability. Machine learning (ML) algorithms predict protein structures, improving drug discovery and biopharmaceutical development processes. AI-powered tools optimize protein folding, stability, and functionality for therapeutic and industrial applications, thus catalyzing the protein engineering market demand. Automated high-throughput screening accelerates candidate selection, reducing time and costs for engineered protein development. Deep learning models analyze massive biological datasets, identifying novel protein sequences with targeted properties. AI-driven computational biology enhances rational protein design, refining molecular interactions and improving specificity. For instance, in November 2024, Imperial College London launched Imperial Global USA, its first physical presence in the United States, based in San Francisco. The hub aims to foster 100 new US-UK science and technology partnerships in 2025, with a focus on AI, robotics, cleantech, biotech, and engineering biology. Additionally, robotics streamline protein purification and characterization, minimizing errors and increasing experimental reproducibility. AI-integrated laboratory automation enhances efficiency in large-scale protein expression and biomanufacturing workflows, which further propels the market growth.

PROTEIN ENGINEERING MARKET TRENDS:

Expanding synthetic biology market

Increasing investments in synthetic biology and the growing emphasis on protein-based drug development are key drivers of the market. The global synthetic biology market was valued at USD 18.5 billion in 2024 and is projected to reach USD 66.7 billion by 2033, registering a 15.3% CAGR from 2025 to 2033, as per IMARC Group's report. Scientists are designing custom proteins with enhanced stability, specificity, and functionality for diverse industrial and healthcare uses. AI-driven algorithms and CRISPR-based modifications are enabling precise protein modifications for tailored therapeutic and industrial applications. Engineered proteins are revolutionizing drug discovery, enzyme manufacturing, and bio-based materials with increased efficiency and sustainability. Companies are leveraging synthetic biology tools to develop novel biocatalysts for green chemistry and sustainable production methods. Precision fermentation techniques are producing alternative proteins with improved nutritional profiles and functional properties. Bio-based materials from engineered proteins are replacing traditional petrochemical-based products in textiles and packaging. Advancements in metabolic pathway engineering are expanding protein functionality for enhanced enzymatic activity in bioprocessing applications, which is strengthening the market growth.

Rising prevalence of protein-deficient diseases

The high prevalence of protein-deficient diseases is driving the demand for protein engineering. Studies report that 2-10% of children aged 1-9 in developing nations experience severe protein-calorie malnutrition, while in some regions, up to 50% of children aged 1-5 suffer from milder deficiencies. Malnutrition-related disorders and genetic conditions requiring protein supplementation are influencing advancements in protein engineering technologies. Engineered proteins are being developed to address metabolic disorders, enzyme deficiencies, and hereditary protein-related diseases effectively. Biopharmaceutical companies are designing recombinant proteins for treating conditions like cystic fibrosis, hemophilia, and growth hormone deficiencies. Advancements in protein engineering are enabling the production of bioavailable therapeutic proteins with enhanced stability and efficacy. Researchers are modifying protein structures to improve absorption, half-life, and targeted delivery for clinical applications. Increased awareness about protein-deficient diseases is encouraging investment in precision-engineered proteins for personalized medicine solutions. Growing demand for plant-based and fermentation-derived proteins is addressing dietary protein deficiencies in global populations.

Advancements in genetic engineering

Advancements in genetic engineering are transforming protein engineering by enabling precise modifications for enhanced functionality and stability. AI-driven protein design is accelerating the development of novel proteins with optimized structures and specific functions. Directed evolution techniques are refining protein properties by mimicking natural selection for better efficiency and performance. Synthetic biology approaches are integrating genetic circuits to design custom proteins for pharmaceutical, food, and industrial uses. Recombinant deoxyribonucleic acid (DNA) technology is facilitating large-scale production of engineered proteins with superior bioactivity and reduced immunogenicity. Gene synthesis innovations are streamlining the creation of artificial protein sequences tailored for specialized biochemical applications. Protein folding simulations are improving structural predictions, enabling precise engineering of proteins with desired characteristics. Advanced expression systems are enhancing protein yields, stability, and bioavailability for commercial and medical applications. Metabolic engineering is optimizing biosynthetic pathways for increased protein production in microbial and plant-based hosts.

PROTEIN ENGINEERING INDUSTRY SEGMENTATION:

Analysis by Product & Services:

  • Instruments
  • Reagents
  • Services and Software

Instruments stand as the largest component in 2025, holding 53.2% of the market. Advanced analytical instruments enable precise protein characterization, structural analysis, and functional optimization for various applications. High-performance chromatography systems and spectroscopy instruments enhance protein purification and identification processes effectively. Mass spectrometry technologies facilitate accurate protein sequencing, modifications analysis, and molecular weight determination for engineering applications. Automated liquid handling systems streamline high-throughput screening, improving efficiency in protein engineering workflows. Cutting-edge imaging technologies provide real-time insights into protein interactions and conformational changes. Next-generation sequencing (NGS) platforms support genetic modifications and structural modeling for protein engineering advancements. Increased adoption of microfluidics-based devices enhances miniaturized protein assays and accelerates screening processes. Companies invest in instrument development to improve reproducibility, accuracy, and scalability in protein engineering experiments. Rising demand for customized protein structures drives innovation in instrument technologies for targeted design applications. Pharmaceutical and biotech firms rely on advanced instruments for biologics development and structural biology research. Expanding government and private funding boosts investment in instrument-based research infrastructure.

Analysis by Protein Type:

  • Insulin
  • Monoclonal Antibodies
  • Coagulation Factors
  • Vaccines
  • Growth Factors
  • Others

In 2025, monoclonal antibodies dominate the market, holding a 24.5% market share. These designed proteins are crucial in targeted drug treatments, especially for cancer and autoimmune disorders. Cutting-edge protein engineering methods enhance monoclonal antibodies for better specificity, stability, and therapeutic effectiveness. The growing occurrence of chronic illnesses is fueling the need for antibody-based therapies in biopharmaceutical uses. Biotech firms concentrate on creating advanced monoclonal antibodies that offer improved binding affinity and decreased immunogenicity. Recombinant DNA techniques allow for the intensive production of monoclonal antibodies that are highly pure and yield substantial amounts. Growing regulatory approvals for antibody-based biologics continue to enhance their market leadership in protein engineering. AI-powered protein optimization speeds up the discovery of monoclonal antibodies, decreasing both time and expense in drug development. Collaborative strategies between biotech startups and pharmaceutical companies enhance the research and marketability of monoclonal antibodies. Increasing demand for biosimilars and antibody-drug conjugates boosts market expansion in this sector. Improvements in hybridoma technology and phage display lead to ongoing advancements in the engineering of monoclonal antibodies.

Analysis by Technology :

  • Irrational Protein Design
  • Rational Protein Design

Rational protein design holds the largest market share due to its precision and efficiency in protein modification. This approach utilizes computational modeling and AI-driven algorithms to predict and optimize protein structures effectively. Scientists design proteins with desired properties by modifying specific amino acid sequences and functional sites. Structural bioinformatics and molecular docking simulations enhance rational protein design applications in drug development. AI and ML significantly improve protein modeling accuracy, accelerating discovery and optimization processes. High-throughput screening techniques validate designed proteins, ensuring optimal stability and performance in applications. Rational protein design reduces trial-and-error methods, leading to faster, cost-effective protein engineering solutions. Pharmaceutical companies leverage this technology for antibody engineering, enzyme optimization, and therapeutic protein development. Continuous advancements in computational tools enhance rational design's efficiency for industrial and medical applications. Academic research institutions collaborate with biotech firms to refine rational protein design methodologies. Expanding use in enzyme engineering for industrial bioprocessing strengthens its market share in protein engineering.

Analysis by End User:

  • Pharmaceutical and Biotechnology Companies
  • Academic Research Institutes
  • Contract Research Organizations

Pharmaceutical and biotechnology companies dominate the market with 45.3% of market share in 2025. These firms drive innovation in therapeutic proteins, monoclonal antibodies, and enzyme-based drug development. Biopharmaceutical companies invest heavily in protein engineering to enhance drug efficacy and safety. AI-driven protein design accelerates biologic drug discovery, reducing costs and development timelines. Increased prevalence of chronic diseases increases demand for protein-based biologics in targeted therapies. Expanding applications of engineered proteins in oncology, immunology, and metabolic disorders strengthen market growth. Regulatory approvals for biologics encourage pharmaceutical firms to develop next-generation protein therapeutics. Biotech startups focus on synthetic biology and precision fermentation for sustainable protein-based solutions. Collaborations between pharmaceutical giants and academic institutions advance protein engineering research and commercialization. Continuous innovation in recombinant protein production improves scalability and cost-effectiveness in manufacturing. Rising adoption of engineered enzymes in drug formulation enhances the sector's market share.

Regional Analysis:

  • North America
    • United States
    • Canada
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa

In 2025, North America accounted for the largest market share of 40.6%. The region hosts major biotech and pharmaceutical firms driving innovation in engineered proteins. Increased investment in AI-driven protein design strengthens North America's leadership in protein engineering. Government funding supports academic research institutions engaged in protein engineering advancements. Expanding clinical trials for biologics and monoclonal antibodies boost protein-based drug development. Regulatory agencies, including the FDA, streamline approvals for engineered protein therapeutics. High adoption of precision fermentation and synthetic biology enhances protein engineering applications. North American companies leverage AI and machine learning for rational protein design and optimization. Strong demand for biopharmaceuticals drives growth in engineered protein-based therapies. For example, In November 204, Future Fields, a Canadian biotech company, opened Instar 1.0, a 6,000-square-foot facility in Edmonton dedicated to fruit fly-based biomanufacturing. This innovative approach addresses biomanufacturing challenges by offering a more efficient and scalable protein production method. Instar 1.0 enables custom protein synthesis in exotic cell lines, supporting research into next-generation therapies. This advancement is particularly impactful for the Protein Engineering market, providing a novel platform for producing complex proteins essential for therapeutic applications. Moreover, expanding partnerships between academia and industry foster continuous innovation in protein engineering. Robust venture capital investment fuels biotech startups focused on next-generation protein therapeutics. Leading research universities contribute to groundbreaking discoveries in engineered protein applications.

KEY REGIONAL TAKEAWAYS:

UNITED STATES PROTEIN ENGINEERING MARKET ANALYSIS

The United States accounts for 89.60% of the protein engineering market share in North America, driven by increasing demand for biologics, such as monoclonal antibodies and biosimilars. Rising chronic disease prevalence, with an estimated 129 million Americans affected by conditions like heart disease, cancer, diabetes, obesity, and hypertension, is driving demand for protein-based therapeutics. Strong research and development (R&D) investments, a well-established biopharmaceutical industry, and favorable regulatory policies support continuous advancements in protein engineering. AI-driven protein modeling and CRISPR-based gene editing are improving drug discovery and protein optimization processes. The expansion of synthetic biology applications in personalized medicine, enzyme engineering, and agriculture further strengthens market growth. Government initiatives promoting biopharmaceutical research, tax incentives, and intellectual property protections encourage innovation and commercialization. Collaborations between pharmaceutical companies, research institutions, and biotech startups accelerate new protein-based drug development. Industrial applications, including biofuels, food processing, and environmental biotechnology, are also influencing protein engineering adoption. The presence of advanced healthcare infrastructure, strong financial support, and increasing venture capital investments induces sector's growth. Continuous technological advancements in protein characterization, structural biology, and metabolic engineering further solidify the US market's leadership in global protein engineering innovations.

ASIA PACIFIC PROTEIN ENGINEERING MARKET ANALYSIS

The Asia Pacific market is expanding due to rising investments in biotechnology and pharmaceutical research and development (R&D), supported by favorable government policies. The increasing cancer incidence, recorded at 169.1 per 100,000 in 2020 and accounting for 49.3% of global cases, is driving demand for engineered proteins in targeted therapies. Expanding biopharmaceutical manufacturing capabilities in China, India, and South Korea further fueling market growth. Leading academic and research institutions are fostering innovation in protein engineering technologies. Growing adoption of synthetic biology and CRISPR-based protein modifications is advancing precision medicine applications. Collaborations between global biotech firms and regional players facilitate technology transfer and commercialization. The demand for personalized medicine, along with a skilled workforce at competitive costs, strengthens regions market position. Expansion of biopharma contract development and manufacturing organizations (CDMOs) is increasing production capacity and efficiency. Supportive regulatory frameworks, rising healthcare expenditure, and government-backed initiatives enhance industry development. The increasing focus on monoclonal antibodies, biosimilars, and next-generation biologics further accelerates protein engineering adoption. Strengthening infrastructure for AI-driven drug discovery and large-scale biomanufacturing ensures sustained growth. Overall, the regions dynamic biopharmaceutical sector and strong research ecosystem position the region as a key player in protein engineering advancements.

EUROPE PROTEIN ENGINEERING MARKET ANALYSIS

The European market is expanding due to a strong biotechnology sector backed by significant public and private investments. Rising demand for biopharmaceuticals, including monoclonal antibodies, vaccines, and gene therapies, is driving advancements in protein engineering technologies. With the European Union population reaching 448.8 million in 2023 and 21.3% aged 65 and above, the increasing prevalence of chronic and age-related diseases is catalyzing demand for innovative protein-based therapeutics. Favorable regulatory policies, such as expedited biologic approvals, further support market growth. Region's well-established biomanufacturing infrastructure, particularly in Germany, Switzerland, and the UK, strengthens protein production capabilities. Strategic partnerships between academic institutions, biotech firms, and pharmaceutical companies are enhancing research-driven innovation in protein engineering. Expanding contract development and manufacturing organization (CDMO) capabilities improve scalability and efficiency in biopharmaceutical production. Increasing adoption of AI-driven protein design, precision medicine, and sustainable bioprocessing further influencing industry demand. Government initiatives supporting biosimilars and next-generation biologics accelerate innovation and commercialization. AI and ML integration in protein engineering enhance drug discovery and structural optimization. Growing investments in cell and gene therapy are further driving industry expansion. With a rising elderly population, increasing healthcare needs, and continued focus on biologics, Europe remains a key global player in protein engineering advancements.

LATIN AMERICA PROTEIN ENGINEERING MARKET ANALYSIS

Latin America's market is growing due to rising biotechnology investments, increasing biologics demand, and improving healthcare infrastructure. The region faces a significant chronic disease burden, with Brazil alone reporting approximately 928,000 deaths annually from chronic illnesses, driving the need for innovative protein-based therapeutics. Governments are actively supporting biotech innovation through favorable policies, research funding, and foreign investment incentives. Expanding biosimilar adoption and collaborations between universities, research institutions, and global biotech firms are accelerating market development. Additionally, protein engineering applications in food processing and agriculture are gaining prominence. Competitive biomanufacturing costs position Latin America as an emerging hub for biopharmaceutical production and innovation.

MIDDLE EAST AND AFRICA PROTEIN ENGINEERING MARKET ANALYSIS

The Middle East and Africa region market is expanding due to rising healthcare investments, growing biopharmaceutical manufacturing, and an increasing chronic disease burden. In the UAE, 23% of individuals report chronic illnesses, with obesity (12.5%), diabetes (4.2%), and asthma/allergies (3.2%) being the most common, driving demand for protein-based therapeutics. Governing agencies of Saudi Arabia and the UAE are investing heavily in biotechnology research and personalized medicine to advance healthcare innovation. Collaborations with global biotech firms and academic institutions are strengthening regional research and development (R&D) capabilities. Expanding applications in food processing, industrial enzymes, and biosimilar production, along with improving regulatory frameworks, are further supporting market growth.

COMPETITIVE LANDSCAPE:

Leading biotechnology companies are investing heavily in AI-driven protein design to optimize molecular structures efficiently. Pharmaceutical firms are utilizing engineered proteins for developing targeted therapies, biologics, and enzyme-based treatments. In April 2024, Abzena Ltd. launched EpiScreen 2.0, an advanced platform for immunogenicity assessment, enhancing the development of complex biologics and bioconjugates. Leveraging over 20 years of expertise from the original EpiScreen platform, this next-generation suite delivers highly sensitive, multi-parametric, and data-rich assays to predict and evaluate preclinical immunogenicity risks in proteins, antibodies, and gene therapy therapeutics. Additionally, synthetic biology startups are introducing novel protein engineering approaches for food, healthcare, and industrial applications. Contract research organizations are supporting drug discovery by providing protein engineering solutions for biopharma clients. Academic institutions are advancing protein engineering techniques through collaborations with biotech companies and government research programs. Investments in precision fermentation are enabling large-scale production of engineered proteins for various commercial applications. Mergers and acquisitions are strengthening the market by integrating expertise in protein design and biomanufacturing. Companies are forming strategic alliances to accelerate protein-based drug development and industrial enzyme production.

The report provides a comprehensive analysis of the competitive landscape in the protein engineering market with detailed profiles of all major companies, including:

  • Abzena Limited
  • Agilent Technologies, Inc.
  • Bio-Rad Laboratories Inc.
  • Bruker Corporation
  • Codexis Inc.
  • DH Life Sciences, LLC
  • GenScript
  • Merck KGaA
  • Novo Nordisk A/S
  • Protomer Technologies (Eli Lilly and Company)
  • Revvity, Inc.
  • Thermo Fisher Scientific Inc.
  • Waters Corporation

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Protein Engineering Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Product & Services

  • 6.1 Instruments
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Reagents
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Services and Software
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast

7 Market Breakup by Protein Type

  • 7.1 Insulin
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Monoclonal Antibodies
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Coagulation Factors
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast
  • 7.4 Vaccines
    • 7.4.1 Market Trends
    • 7.4.2 Market Forecast
  • 7.5 Growth Factors
    • 7.5.1 Market Trends
    • 7.5.2 Market Forecast
  • 7.6 Others
    • 7.6.1 Market Trends
    • 7.6.2 Market Forecast

8 Market Breakup by Technology

  • 8.1 Irrational Protein Design
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Rational Protein Design
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast

9 Market Breakup by End User

  • 9.1 Pharmaceutical and Biotechnology Companies
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Academic Research Institutes
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Contract Research Organizations
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast

10 Market Breakup by Region

  • 10.1 North America
    • 10.1.1 United States
      • 10.1.1.1 Market Trends
      • 10.1.1.2 Market Forecast
    • 10.1.2 Canada
      • 10.1.2.1 Market Trends
      • 10.1.2.2 Market Forecast
  • 10.2 Asia-Pacific
    • 10.2.1 China
      • 10.2.1.1 Market Trends
      • 10.2.1.2 Market Forecast
    • 10.2.2 Japan
      • 10.2.2.1 Market Trends
      • 10.2.2.2 Market Forecast
    • 10.2.3 India
      • 10.2.3.1 Market Trends
      • 10.2.3.2 Market Forecast
    • 10.2.4 South Korea
      • 10.2.4.1 Market Trends
      • 10.2.4.2 Market Forecast
    • 10.2.5 Australia
      • 10.2.5.1 Market Trends
      • 10.2.5.2 Market Forecast
    • 10.2.6 Indonesia
      • 10.2.6.1 Market Trends
      • 10.2.6.2 Market Forecast
    • 10.2.7 Others
      • 10.2.7.1 Market Trends
      • 10.2.7.2 Market Forecast
  • 10.3 Europe
    • 10.3.1 Germany
      • 10.3.1.1 Market Trends
      • 10.3.1.2 Market Forecast
    • 10.3.2 France
      • 10.3.2.1 Market Trends
      • 10.3.2.2 Market Forecast
    • 10.3.3 United Kingdom
      • 10.3.3.1 Market Trends
      • 10.3.3.2 Market Forecast
    • 10.3.4 Italy
      • 10.3.4.1 Market Trends
      • 10.3.4.2 Market Forecast
    • 10.3.5 Spain
      • 10.3.5.1 Market Trends
      • 10.3.5.2 Market Forecast
    • 10.3.6 Russia
      • 10.3.6.1 Market Trends
      • 10.3.6.2 Market Forecast
    • 10.3.7 Others
      • 10.3.7.1 Market Trends
      • 10.3.7.2 Market Forecast
  • 10.4 Latin America
    • 10.4.1 Brazil
      • 10.4.1.1 Market Trends
      • 10.4.1.2 Market Forecast
    • 10.4.2 Mexico
      • 10.4.2.1 Market Trends
      • 10.4.2.2 Market Forecast
    • 10.4.3 Others
      • 10.4.3.1 Market Trends
      • 10.4.3.2 Market Forecast
  • 10.5 Middle East and Africa
    • 10.5.1 Market Trends
    • 10.5.2 Market Breakup by Country
    • 10.5.3 Market Forecast

11 SWOT Analysis

  • 11.1 Overview
  • 11.2 Strengths
  • 11.3 Weaknesses
  • 11.4 Opportunities
  • 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

  • 13.1 Overview
  • 13.2 Bargaining Power of Buyers
  • 13.3 Bargaining Power of Suppliers
  • 13.4 Degree of Competition
  • 13.5 Threat of New Entrants
  • 13.6 Threat of Substitutes

14 Price Analysis

15 Competitive Landscape

  • 15.1 Market Structure
  • 15.2 Key Players
  • 15.3 Profiles of Key Players
    • 15.3.1 Abzena Limited
      • 15.3.1.1 Company Overview
      • 15.3.1.2 Product Portfolio
    • 15.3.2 Agilent Technologies, Inc.
      • 15.3.2.1 Company Overview
      • 15.3.2.2 Product Portfolio
      • 15.3.2.3 Financials
      • 15.3.2.4 SWOT Analysis
    • 15.3.3 Bio-Rad Laboratories Inc.
      • 15.3.3.1 Company Overview
      • 15.3.3.2 Product Portfolio
      • 15.3.3.3 Financials
      • 15.3.3.4 SWOT Analysis
    • 15.3.4 Bruker Corporation
      • 15.3.4.1 Company Overview
      • 15.3.4.2 Product Portfolio
      • 15.3.4.3 Financials
      • 15.3.4.4 SWOT Analysis
    • 15.3.5 Codexis Inc.
      • 15.3.5.1 Company Overview
      • 15.3.5.2 Product Portfolio
      • 15.3.5.3 Financials
      • 15.3.5.4 SWOT Analysis
    • 15.3.6 DH Life Sciences, LLC
      • 15.3.6.1 Company Overview
      • 15.3.6.2 Product Portfolio
      • 15.3.6.3 Financials
      • 15.3.6.4 SWOT Analysis
    • 15.3.7 GenScript
      • 15.3.7.1 Company Overview
      • 15.3.7.2 Product Portfolio
      • 15.3.7.3 Financials
      • 15.3.7.4 SWOT Analysis
    • 15.3.8 Merck KGaA
      • 15.3.8.1 Company Overview
      • 15.3.8.2 Product Portfolio
      • 15.3.8.3 Financials
      • 15.3.8.4 SWOT Analysis
    • 15.3.9 Novo Nordisk A/S
      • 15.3.9.1 Company Overview
      • 15.3.9.2 Product Portfolio
      • 15.3.9.3 Financials
      • 15.3.9.4 SWOT Analysis
    • 15.3.10 Protomer Technologies (Eli Lilly and Company)
      • 15.3.10.1 Company Overview
      • 15.3.10.2 Product Portfolio
      • 15.3.10.3 Financials
      • 15.3.10.4 SWOT Analysis
    • 15.3.11 Revvity, Inc.
      • 15.3.11.1 Company Overview
      • 15.3.11.2 Product Portfolio
      • 15.3.11.3 Financials
      • 15.3.11.4 SWOT Analysis
    • 15.3.12 Thermo Fisher Scientific Inc.
      • 15.3.12.1 Company Overview
      • 15.3.12.2 Product Portfolio
      • 15.3.12.3 Financials
      • 15.3.12.4 SWOT Analysis
    • 15.3.13 Waters Corporation
      • 15.3.13.1 Company Overview
      • 15.3.13.2 Product Portfolio
      • 15.3.13.3 Financials
      • 15.3.13.4 SWOT Analysis
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