Global AI-assisted Peptide Drug Discovery Platform Market Size is predicted to grow with a 14.1 % CAGR during the forecast period for 2025-2034.
An AI-assisted peptide drug discovery platform is a technology-driven system that integrates artificial intelligence (AI) with peptide chemistry, bioinformatics, and structural biology to accelerate and enhance the discovery and development of peptide-based therapeutics. Conventional, peptide drug development begins with identifying peptide precursors, often derived from endogenous peptides produced naturally in the human body or from natural peptides found in the environment.
These precursors, present in minute quantities, exhibit potent biological effects and serve as lead molecules for therapeutic development. Many diseases, such as cancer, diabetes, or autoimmune disorders, are linked to imbalances in endogenous peptides, making them valuable drug targets. AI enhances this process by predicting peptide structure, function, and binding affinity to targets like G-protein-coupled receptors (GPCRs), kinases, and ion channels, while optimizing properties like stability, solubility, and membrane permeability.
By streamlining and enhancing these processes, AI platforms significantly reduce the time and cost associated with traditional peptide discovery pipelines.
Rising prevalence of chronic diseases, advantages of peptide drugs over traditional small-molecule drugs, their diverse biological activities (peptides are promising candidates for therapeutic applications, showing antimicrobial, antitumor and hormonal signaling capabilities), growing focus on targeted and personalized medicine, and increasing investment in R&D, and advantages of AI-assisted peptide drug discovery platforms that address the limitations of traditional methods expected to support the AI-assisted peptide drug discovery platforms market.
AI platforms are particularly effective for designing peptide therapeutics for inflammatory and autoimmune diseases, such as rheumatoid arthritis, psoriasis, inflammatory bowel disease (IBD), and multiple sclerosis, which affect millions globally. Peptides are ideal for these conditions due to their ability to precisely modulate immune pathways, such as inhibiting overactive T-cells or neutralizing disease-causing autoantibodies. For example, AI can design peptides that target specific cytokine receptors (e.g., IL-17 for psoriasis) with high affinity and minimal off-target effects.
AI also supports personalized medicine by integrating patient-specific immunological and genetic data (e.g., multi-omics data from genomics, proteomics, and transcriptomics). Machine learning models analyze these datasets to design peptides tailored to individual immune profiles, improving efficacy and reducing adverse effects. For instance, AI-driven platforms can identify peptides that modulate immune responses in patient-specific subsets of autoimmune diseases, advancing precision therapeutics.
Some of the Major Key Players in the AI-assisted Peptide Drug Discovery Platform Market are:
The AI-assisted peptide drug discovery platform market is segmented based on applications, therapeutic area, technology, end-user, and platform access model. Based on application, the market is segmented into drug design and optimization, hit identification and lead generation, target validation, and preclinical validation. Based on the therapeutic area, the market is divided into metabolic disorders, oncology, infectious diseases, neurological disorders, inflammatory and autoimmune diseases, and other areas. Based on technology, the market is divided into machine learning, deep learning, generative AI, natural language processing, and reinforcement learning. Based on end-user, the market is divided into pharmaceutical and biotechnology companies, contract research organizations, academic and research institutions, startups, and SMEs. Based on the platform access model, the market is divided into pipeline licensing, technology licensing, strategic alliances, library provider, and service provider
The drug design and optimization segment is expected to grow at the highest growth rate during the forecast period. The greatest strength of AI platforms lies in their ability to design novel peptide sequences with optimal physicochemical, biological, and pharmacokinetic properties. By leveraging advanced algorithms and predictive models, AI significantly accelerates the drug design cycle, enabling the rapid identification and refinement of lead candidates. These platforms can accurately predict structure-activity relationships (SAR), which helps in optimizing peptide interactions with biological targets. Additionally, AI enhances critical drug-like properties, such as stability, solubility, and bioavailability, while also minimizing immunogenicity, ultimately improving the likelihood of clinical success.
The oncology segment is estimated to dominate the market. Cancer remains one of the leading causes of death worldwide, fueling a strong demand for innovative and targeted therapies, including peptide-based drugs. Peptides offer high specificity and can be engineered to selectively bind to tumor-associated antigens and receptors such as HER2 and EGFR, minimizing off-target toxicity and improving treatment safety. AI-assisted platforms are increasingly being utilized to design tumor-targeting peptides, personalized cancer vaccines, and immune checkpoint modulators, significantly accelerating the development of next-generation oncology therapeutics
North America is the market leader in the AI-assisted peptide drug discovery platform market due to The U.S. and Canada have a well-established life sciences ecosystem with a high concentration of biotech and pharmaceutical companies actively investing in peptide therapeutics and AI tools. Leading research institutions and universities play a critical role in driving early-stage innovation, particularly in computational biology and drug discovery. North America attracts the largest share of global biotech venture capital, with substantial funding directed toward AI-driven drug discovery initiatives. Government programs such as NIH funding and BARDA, along with robust private sector investments, continue to fuel advancements in peptide research. Additionally, the region is a global leader in AI, machine learning, and cloud computing technologies that are essential for the development and operation of AI-assisted peptide drug discovery platforms.
|
Report Attribute |
Specifications |
|
Growth Rate CAGR |
CAGR of 14.1 % from 2025 to 2034 |
|
Quantitative Units |
Representation of revenue in US$ Mn 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 Application, By Therapeutic Area, By Technology, By End-User, By Platform Access Model and By Region. |
|
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; The UK; France; Italy; Spain; China; Japan; India; South Korea; Southeast Asia; South Korea; South East Asia |
|
Competitive Landscape |
Peptilogics, Pepticom, Gubra, Nuritas, Aurigene, Space Peptides, Koliber Biosciences, Cradle, Insilico Medicine, Fujitsu |
|
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 particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI-assisted Peptide Drug Discovery Platform Market Snapshot
Chapter 4. Global AI-assisted Peptide Drug Discovery Platform 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. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2034
4.8. Competitive Landscape & Market Share Analysis, By Key Player (2024)
4.9. Use/impact of AI on AI-assisted Peptide Drug Discovery Platform Market Industry Trends
4.10. Global AI-assisted Peptide Drug Discovery Platform Market Penetration & Growth Prospect Mapping (US$ Mn), 2021-2034
Chapter 5. AI-assisted Peptide Drug Discovery Platform Market Segmentation 1: By Application, Estimates & Trend Analysis
5.1. Market Share by Application, 2024 & 2034
5.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Application:
5.2.1. Drug Design and Optimization
5.2.2. Hit Identification and Lead Generation
5.2.3. Target Validation
5.2.4. Preclinical Validation
Chapter 6. AI-assisted Peptide Drug Discovery Platform Market Segmentation 2: By Therapeutic Area, Estimates & Trend Analysis
6.1. Market Share by Therapeutic Area, 2024 & 2034
6.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Therapeutic Area:
6.2.1. Metabolic Disorders
6.2.2. Oncology
6.2.3. Infectious Diseases
6.2.4. Neurological Disorders
6.2.5. Inflammatory and Autoimmune Diseases
6.2.6. Other Areas
Chapter 7. AI-assisted Peptide Drug Discovery Platform Market Segmentation 3: By End-User Industry, Estimates & Trend Analysis
7.1. Market Share by End-User Industry, 2024 & 2034
7.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following End-User Industry:
7.2.1. Pharmaceutical and Biotechnology Companies
7.2.2. Contract Research Organizations
7.2.3. Academic and Research Institutions
7.2.4. Startups and SMEs
Chapter 8. AI-assisted Peptide Drug Discovery Platform Market Segmentation 4: By Technology, Estimates & Trend Analysis
8.1. Market Share by Technology, 2024 & 2034
8.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Technology:
8.2.1. Machine Learning
8.2.2. Deep Learning
8.2.3. Generative AI
8.2.4. Natural Language Processing
8.2.5. Reinforcement Learning
Chapter 9. AI-assisted Peptide Drug Discovery Platform Market Segmentation 5: By Platform Access Model, Estimates & Trend Analysis
9.1. Market Share by Platform Access Model, 2024 & 2034
9.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Platform Access Model:
9.2.1. Pipeline Licensing
9.2.2. Technology Licensing
9.2.3. Strategic Alliances
9.2.4. Library Provider
9.2.5. Service Provider
Chapter 10. AI-assisted Peptide Drug Discovery Platform Market Segmentation 6: Regional Estimates & Trend Analysis
10.1. Global AI-assisted Peptide Drug Discovery Platform Market, Regional Snapshot 2024 & 2034
10.2. North America
10.2.1. North America AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.2.1.1. US
10.2.1.2. Canada
10.2.2. North America AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.2.3. North America AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Therapeutic Area, 2021-2034
10.2.4. North America AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by End-User Industry, 2021-2034
10.2.5. North America AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.2.6. North America AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Platform Access Model, 2021-2034
10.3. Europe
10.3.1. Europe AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.3.1.1. Germany
10.3.1.2. U.K.
10.3.1.3. France
10.3.1.4. Italy
10.3.1.5. Spain
10.3.1.6. Rest of Europe
10.3.2. Europe AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.3.3. Europe AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Therapeutic Area, 2021-2034
10.3.4. Europe AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by End-User Industry, 2021-2034
10.3.5. Europe AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.3.6. Europe AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Platform Access Model, 2021-2034
10.4. Asia Pacific
10.4.1. Asia Pacific AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.4.1.1. India
10.4.1.2. China
10.4.1.3. Japan
10.4.1.4. Australia
10.4.1.5. South Korea
10.4.1.6. Hong Kong
10.4.1.7. Southeast Asia
10.4.1.8. Rest of Asia Pacific
10.4.2. Asia Pacific AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.4.3. Asia Pacific AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Therapeutic Area, 2021-2034
10.4.4. Asia Pacific AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by End-User Industry, 2021-2034
10.4.5. Asia Pacific AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts Technology, 2021-2034
10.4.6. Asia Pacific AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Platform Access Model, 2021-2034
10.5. Latin America
10.5.1. Latin America AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.5.1.1. Brazil
10.5.1.2. Mexico
10.5.1.3. Rest of Latin America
10.5.2. Latin America AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.5.3. Latin America AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Therapeutic Area, 2021-2034
10.5.4. Latin America AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by End-User Industry, 2021-2034
10.5.5. Latin America AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.5.6. Latin America AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Platform Access Model, 2021-2034
10.6. Middle East & Africa
10.6.1. Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
10.6.1.1. GCC Countries
10.6.1.2. Israel
10.6.1.3. South Africa
10.6.1.4. Rest of Middle East and Africa
10.6.2. Middle East & Africa AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.6.3. Middle East & Africa AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Therapeutic Area, 2021-2034
10.6.4. Middle East & Africa AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by End-User Industry, 2021-2034
10.6.5. Middle East & Africa AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.6.6. Middle East & Africa AI-assisted Peptide Drug Discovery Platform Market Revenue (US$ Million) Estimates and Forecasts by Platform Access Model, 2021-2034
Chapter 11. Competitive Landscape
11.1. Major Mergers and Acquisitions/Strategic Alliances
11.2. Company Profiles
11.2.1. Peptilogics
11.2.1.1. Business Overview
11.2.1.2. Key Application/Service Overview
11.2.1.3. Financial Performance
11.2.1.4. Geographical Presence
11.2.1.5. Recent Developments with Business Strategy
11.2.2. Pepticom
11.2.3. Gubra
11.2.4. Nuritas
11.2.5. Aurigene
11.2.6. Space Peptides
11.2.7. Koliber Biosciences
11.2.8. Cradle
11.2.9. Insilico Medicine
11.2.10. Fujitsu
11.2.11. Other Prominent Players
Segmentation of AI-assisted Peptide Drug Discovery Platform Market
Global AI-assisted Peptide Drug Discovery Platform Market - By Application
Global AI-assisted Peptide Drug Discovery Platform Market – By Therapeutic Area
Global AI-assisted Peptide Drug Discovery Platform Market – By Technology
Global AI-assisted Peptide Drug Discovery Platform Market – By End-User
Global AI-assisted Peptide Drug Discovery Platform Market – By Platform Access Model
Global AI-assisted Peptide Drug Discovery Platform Market – By Region
North America-
Europe-
Asia-Pacific-
Latin America-
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:
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:
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.
