AI/ML and Computational Tools in RNA Research and Therapeutics Market Size, Share and Growth Analysis 2025 to 2034

Report Id: 2974 Pages: 180 Last Updated: 02 January 2026 Format: PDF / PPT / Excel / Power BI
Share With : linkedin twitter facebook

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 -

  • 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

AI/ML and Computational Tools in RNA Research and Therapeutics Market

AI/ML and Computational Tools in RNA Research and Therapeutics Market by Product -

  • Vaccines
  • Drugs

AI/ML and Computational Tools in RNA Research and Therapeutics Market by Type-

  • mRNA Therapeutics
  • RNA Interference (RNAi) Therapeutics
  • Antisense Oligonucleotide (ASO) Therapeutics
  • Other Therapeutics

AI/ML and Computational Tools in RNA Research and Therapeutics Market by End-user-

  • Pharmaceutical and Biotech Companies
  • Academic and Research Institutions
  • Contract Research Organizations (CROs)
  • Healthcare Providers (Emerging)

AI/ML and Computational Tools in RNA Research and Therapeutics Market by Region-

North America-

  • The US
  • Canada

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Mexico
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

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

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

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.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

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.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

Name field cannot be blank!
Email field cannot be blank!(Use email format)
Designation field cannot be blank!
Company field cannot be blank!
Contact No field cannot be blank!
Message field cannot be blank!
8365
Security Code field cannot be blank!

Frequently Asked Questions

AI/ML and Computational Tools in RNA Research and Therapeutics Market Size is predicted to reach at an 26.8% CAGR during the forecast 2025-2034

Deep Genomics, Insilico Medicine, Atomwise, Schrödinger, Generate Biomedicines, e-therapeutics, NVIDIA, Illumina, Relation Therapeutics, BenevolentAI,

Technologies and Processes, Product, Type and End-User are the key segments of the AI/ML and Computational Tools in RNA Research and Therapeutics Mark

North America region is leading the AI/ML and Computational Tools in RNA Research and Therapeutics Market.

Report License Selection

Determine the Appropriate License for your Report

Get Sample Report Enquiry Before Buying