Global AI/ML and Computational Tools in RNA Research and Therapeutics Market Size is predicted to develop at an 26.8% CAGR during the forecast period for 2025-2034.
Artificial Intelligence (AI), Machine Learning (ML), and computational tools are transforming RNA research and therapeutics by enabling a deeper understanding of RNA biology and expediting drug discovery. AI mimics human intelligence, whereas ML—its subset—enables systems to learn and get better from data. These technologies process large-scale sequencing data, predict RNA structures, identify biomarkers, and aid RNA-targeted drug design. Computational resources like algorithms, platforms, and automated pipelines are important in handling and interpreting big data sets. Some of the most significant applications are RNA structure prediction, NGS analysis, small molecule targeting, biomarker identification, and drug design.
This is propelled by the RNA sequencing data explosion, the push for precision medicine, and breakthroughs in computational technologies. Pipelines automate processes, reduce human error, and speed up research. Challenges exist, though, such as requiring high-quality datasets to train models well and the intrinsic complexity of RNA's dynamic structure, making it difficult to model accurately. In spite of these challenges, AI/ML and computational resources continue to open new frontiers in RNA-based diagnostics and therapeutics.
Some of the Key Players in AI/ML and Computational Tools in RNA Research and Therapeutics Market:
The AI/ML and computational tools in RNA research and therapeutics market is segmented by technologies and processes, product, type, and end-user. By technologies and processes, the market is segmented into RNA design and sequence optimization, RNA delivery systems, RNA sequencing and data analysis, target identification and validation, preclinical and clinical development tools, hardware and infrastructure support. By product market is segmented into vaccines and drugs. By type the market is segmented into mRNA therapeutics, RNA interference (RNAi) therapeutics, antisense oligonucleotide (ASO) therapeutics, and other therapeutics. By end-user market is segmented into pharmaceutical and biotech companies, academic and research institutions, contract research organizations (CROs), healthcare providers (emerging).
RNA Sequencing and Data Analysis is a major driver of AI/ML adoption in RNA research due to the massive, complex datasets it generates. Advanced tools help process this data efficiently using dimensionality reduction and clustering techniques. AI/ML automates key tasks like quality control, variant detection, and expression analysis, reducing errors and speeding up workflows. These technologies also enable biomarker discovery by identifying subtle gene expression patterns and support precision medicine by revealing disease-specific molecular signatures, especially in oncology and genetics.
mRNA therapeutics is experiencing strong growth in AI/ML uptake, fueled by the development of mRNA technology, increasing R&D spending, and growing therapeutic uses. The success of mRNA COVID-19 vaccines demonstrated their promise for scalable, high-speed development, with AI/ML technologies refining mRNA sequences for stability, immune escape, and protein expression. Biopharma firms, such as Moderna, are incorporating AI into R&D to automate target identification, payload design, and clinical processes. Aside from vaccines, mRNA therapeutics are under investigation for cancer, genetic disease, and infectious diseases, with AI/ML augmenting target discovery, delivery optimization, and efficacy prediction.
North America is at the forefront of embracing AI/ML and computational technologies in RNA research and therapeutics, fueled by its strong research infrastructure, sound funding environment, and presence of dominant industry players. The U.S. has advanced facilities that incorporate AI/ML seamlessly into RNA workflows, enhancing innovation and efficiency. There are substantial investments from government agencies, venture capital, and private companies to support R&D in RNA sequencing, drug design, and therapeutic development. Additionally, companies such as Moderna are paradigmatic of the successful integration of computational tools into mRNA vaccine development, establishing company benchmarks and driving further expansion in the region.
|
Report Attribute |
Specifications |
|
Growth Rate CAGR |
CAGR of 26.8 % 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 Technologies and Processes, Product, Type, End-User 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; Southeast Asia |
|
Competitive Landscape |
Deep Genomics, Insilico Medicine, Atomwise, Schrödinger, Generate Biomedicines, e-therapeutics, NVIDIA, Illumina, Relation Therapeutics, BenevolentAI, Fluence Technologies, Satija Lab |
|
Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. 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/ML and Computational Tools in RNA Research and Therapeutics Market Snapshot
Chapter 4. Global AI/ML and Computational Tools in RNA Research and Therapeutics 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 (2023)
4.9. Use/impact of AI on AI/ML and Computational Tools in RNA Research and Therapeutics Market Industry Trends
4.10. Global AI/ML and Computational Tools in RNA Research and Therapeutics Market Penetration & Growth Prospect Mapping (US$ Mn), 2021-2034
Chapter 5. AI/ML and Computational Tools in RNA Research and Therapeutics Market Segmentation 1: By Technologies and Processes, Estimates & Trend Analysis
5.1. Market Share by Technologies and Processes, 2024 & 2034
5.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Technologies and Processes:
5.2.1. RNA Design and Sequence Optimization
5.2.2. RNA Delivery Systems
5.2.3. RNA Sequencing and Data Analysis
5.2.4. Target Identification and Validation
5.2.5. Preclinical and Clinical Development Tools
5.2.6. Hardware and Infrastructure Support
Chapter 6. AI/ML and Computational Tools in RNA Research and Therapeutics Market Segmentation 2: By Product, Estimates & Trend Analysis
6.1. Market Share by Product, 2024 & 2034
6.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the
following Product:
6.2.1. Vaccines
6.2.2. Drugs
Chapter 7. AI/ML and Computational Tools in RNA Research and Therapeutics Market Segmentation 3: By Type, Estimates & Trend Analysis
7.1. Market Share by Type, 2024 & 2034
7.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Type:
7.2.1. mRNA Therapeutics
7.2.2. RNA Interference (RNAi) Therapeutics
7.2.3. Antisense Oligonucleotide (ASO) Therapeutics
7.2.4. Other Therapeutics
Chapter 8. AI/ML and Computational Tools in RNA Research and Therapeutics Market Segmentation 3: By End-user, Estimates & Trend Analysis
8.1. Market Share by End-user, 2024 & 2034
8.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following End-user:
8.2.1. Pharmaceutical and Biotech Companies
8.2.2. Academic and Research Institutions
8.2.3. Contract Research Organizations (CROs)
8.2.4. Healthcare Providers (Emerging)
Chapter 9. AI/ML and Computational Tools in RNA Research and Therapeutics Market Segmentation 4: Regional Estimates & Trend Analysis
9.1. Global AI/ML and Computational Tools in RNA Research and Therapeutics Market, Regional Snapshot 2024 & 2034
9.2. North America
9.2.1. North America AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.2.1.1. US
9.2.1.2. Canada
9.2.2. North America AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Technologies and Processes, 2021-2034
9.2.3. North America AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
9.2.4. North America AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
9.2.5. North America AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
9.3. Europe
9.3.1. Europe AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.3.1.1. Germany
9.3.1.2. U.K.
9.3.1.3. France
9.3.1.4. Italy
9.3.1.5. Spain
9.3.1.6. Rest of Europe
9.3.2. Europe AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Technologies and Processes, 2021-2034
9.3.3. Europe AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
9.3.4. Europe AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
9.3.5. Europe AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
9.4. Asia Pacific
9.4.1. Asia Pacific AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.4.1.1. India
9.4.1.2. China
9.4.1.3. Japan
9.4.1.4. Australia
9.4.1.5. South Korea
9.4.1.6. Hong Kong
9.4.1.7. Southeast Asia
9.4.1.8. Rest of Asia Pacific
9.4.2. Asia Pacific AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Technologies and Processes, 2021-2034
9.4.3. Asia Pacific AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
9.4.4. Asia Pacific AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
9.4.5. Asia Pacific AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
9.5. Latin America
9.5.1. Latin America AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.5.1.1. Brazil
9.5.1.2. Mexico
9.5.1.3. Rest of Latin America
9.5.2. Latin America AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Technologies and Processes, 2021-2034
9.5.3. Latin America AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
9.5.4. Latin America AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-20349.5.5. Latin America AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
9.6. Middle East & Africa
9.6.1. Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.6.1.1. GCC Countries
9.6.1.2. Israel
9.6.1.3. South Africa
9.6.1.4. Rest of Middle East and Africa
9.6.2. Middle East & Africa AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Technologies and Processes, 2021-2034
9.6.3. Middle East & Africa AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
9.6.4. Middle East & Africa AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
9.6.5. Middle East & Africa AI/ML and Computational Tools in RNA Research and Therapeutics Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. Deep Genomics
10.2.1.1. Business Overview
10.2.1.2. Key Technologies and Processes/Service Overview
10.2.1.3. Financial Performance
10.2.1.4. Geographical Presence
10.2.1.5. Recent Developments with Business Strategy
10.2.2. Insilico Medicine
10.2.3. Atomwise
10.2.4. Schrödinger
10.2.5. Generate Biomedicines
10.2.6. e-therapeutics
10.2.7. NVIDIA
10.2.8. Illumina
10.2.9. Relation Therapeutics
10.2.10. BenevolentAI
10.2.11. Fluence Technologies
10.2.12. Satija Lab
Segmentation of AI/ML and Computational Tools in RNA Research and Therapeutics Market -
AI/ML and Computational Tools in RNA Research and Therapeutics Market by Technologies and Processes -
AI/ML and Computational Tools in RNA Research and Therapeutics Market by Product -
AI/ML and Computational Tools in RNA Research and Therapeutics Market by Type-
AI/ML and Computational Tools in RNA Research and Therapeutics Market by End-user-
AI/ML and Computational Tools in RNA Research and Therapeutics 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.
