Gene-to-Patient Market Report with Forecast 2025 to 2034

Report Id: 2905 Pages: 172 Last Updated: 29 November 2024 Format: PDF / PPT / Excel / Power BI
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Segmentation of Gene-to-Patient Market :

Gene-to-Patient Market By Type-

  • Gene Therapy
  • Gene Editing
  • Gene Silencing

gene to patient

Gene-to-Patient Market By Application-

  • Cancer Treatment
  • Genetic Disorders
  • Cardiovascular Diseases
  • Rare Diseases
  • Infectious Diseases

Gene-to-Patient Market By End-user-

  • Hospitals
  • Research Institutes
  • Biopharmaceutical Companies
  • Diagnostic Laboratories

Gene-to-Patient Market By Technology-

  • CRISPR
  • Viral Vector Technology
  • Non-Viral Delivery Technology
  • Antisense Oligonucleotide Technology

Gene-to-Patient Market By Distribution Channel-

  • Direct Sales
  • Online Sales
  • Third-party Distributors

Gene-to-Patient Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

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

Asia-Pacific-

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

Latin America-

  • Brazil
  • Argentina
  • 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 Gene-to-Patient Market Snapshot

Chapter 4.          Global Gene-to-Patient 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), 2024-2031

4.8.        Global Gene-to-Patient Market Penetration & Growth Prospect Mapping (US$ Mn), 2023-2031

4.9.        Competitive Landscape & Market Share Analysis, By Key Player (2023)

4.10.     Use/impact of AI on Gene-to-Patient Industry Trends

Chapter 5.          Gene-to-Patient Market Segmentation 1: By Application, Estimates & Trend Analysis

5.1.        Market Share by Application, 2023 & 2031

5.2.        Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following  Application:

5.2.1.    Cancer Treatment

5.2.2.    Genetic Disorders

5.2.3.    Cardiovascular Diseases

5.2.4.    Rare Diseases

5.2.5.    Infectious Diseases

Chapter 6.          Gene-to-Patient Market Segmentation 2: By End-User, Estimates & Trend Analysis

6.1.        Market Share by End-User, 2023 & 2031

6.2.        Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following End-User:

6.2.1.    Hospitals

6.2.2.    Research Institutes

6.2.3.    Biopharmaceutical Companies

6.2.4.    Diagnostic Laboratories

Chapter 7.          Gene-to-Patient Market Segmentation 3: By Technology, Estimates & Trend Analysis

7.1.        Market Share by Technology, 2023 & 2031

7.2.        Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Technologys:

7.2.1.    CRISPR

7.2.2.    Viral Vector Technology

7.2.3.    Non-Viral Delivery Technology

7.2.4.    Antisense Oligonucleotide Technology

Chapter 8.          Gene-to-Patient Market Segmentation 4: By Type, Estimates & Trend Analysis

8.1.        Market Share by Type, 2023 & 2031

8.2.        Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Types:

8.2.1.    Gene Therapy

8.2.2.    Gene Editing

8.2.3.    Gene Silencing

Chapter 9.          Gene-to-Patient Market Segmentation 5: By Distribution Channel, Estimates & Trend Analysis

9.1.        Market Share by Distribution Channel, 2023 & 2031

9.2.        Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Distribution Channeles:

9.2.1.    Direct Sales

9.2.2.    Online Sales

9.2.3.    Third-party Distributors

Chapter 10.        Gene-to-Patient Market Segmentation 6: Regional Estimates & Trend Analysis

10.1.     Global Gene-to-Patient Market, Regional Snapshot 2023 & 2031

10.2.     North America

10.2.1.  North America Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031

10.2.1.1.             US

10.2.1.2.             Canada

10.2.2.  North America Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031

10.2.3.  North America Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031

10.2.4.  North America Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031

10.2.5.  North America Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031

10.2.6.  North America Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Distribution Channel, 2024-2031

10.3.     Europe

10.3.1.  Europe Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031

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 Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031

10.3.3.  Europe Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031

10.3.4.  Europe Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031

10.3.5.  Europe Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031

10.3.6.  Europe Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Distribution Channel, 2024-2031

10.4.     Asia Pacific

10.4.1.  Asia Pacific Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031

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 Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024- 2031

10.4.3.  Asia Pacific Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031

10.4.4.  Asia Pacific Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts By Technology, 2024-2031

10.4.5.  Asia Pacific Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031

10.4.6.  Asia Pacific Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts By Distribution Channel, 2024-2031

10.5.     Latin America

10.5.1.  Latin America Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031

10.5.1.1.             Brazil

10.5.1.2.             Mexico

10.5.1.3.             Rest of Latin America

10.5.2.  Latin America Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031

10.5.3.  Latin America Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031

10.5.4.  Latin America Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031

10.5.5.  Latin America Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031

10.5.6.  Latin America Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Distribution Channel, 2024-2031

10.6.     Middle East & Africa

10.6.1.  Middle East & Africa Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

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 Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031

10.6.3.  Middle East & Africa Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031

10.6.4.  Middle East & Africa Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031

10.6.5.  Middle East & Africa Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031

10.6.6.  Middle East & Africa Gene-to-Patient Market Revenue (US$ Million) Estimates and Forecasts by Distribution Channel, 2024-2031

Chapter 11.        Competitive Landscape

11.1.     Major Mergers and Acquisitions/Strategic Alliances

11.2.     Company Profiles

 

11.2.1.  Illumina

11.2.1.1.             Business Overview

11.2.1.2.             Key Product/Service Offerings

11.2.1.3.             Financial Performance

11.2.1.4.             Geographical Presence

11.2.1.5.             Recent Developments with Business Strategy

11.2.2.  Thermo Fisher Scientific

11.2.3.  Roche Diagnostics

11.2.4.  Qiagen

11.2.5.  BioRad Laboratories

11.2.6.  Abbott Laboratories

11.2.7.  PerkinElmer

11.2.8.  Invitae

11.2.9.  Myriad Genetics

11.2.10.              Guardant Health

11.2.11.              Foundation Medicine

11.2.12.              Genomic Health

11.2.13.              Agilent Technologies

11.2.14.              Laboratory Corporation of America (LabCorp)

11.2.15.              Exact Sciences

11.2.16.              Genscript Biotech Corporation

11.2.17.              CRISPR Therapeutics AG

11.2.18.              Editas Medicine

11.2.19.              Intellia Therapeutics Inc.

11.2.20.              Beam Therapeutics Inc.

11.2.21.              Caribou Biosciences Inc.

11.2.22.              Lonza Group Ltd.

11.2.23.              Other Market Players

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.

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Frequently Asked Questions

The Gene-to-Patient Market Size is valued at USD 134.6 billion in 2023 and is predicted to reach USD 341.4 billion by the year 2031

The Gene-to-Patient Market is expected to grow at a 12.5% CAGR during the forecast period for 2024-2031.

Illumina, Thermo Fisher Scientific, Roche Diagnostics, Qiagen, BioRad Laboratories, Abbott Laboratories, PerkinElmer, Invitae, Myriad Genetics, Guarda

Type, Application, End-User, Technology, And Distribution Channel are the key segments of the Gene-to-Patient Market.

North American region is leading the Gene-to-Patient Market.
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