Gene Prediction Tools Market-By Component (Software, Service), Application (Drug Discovery & Designing, Diagnostics), End-user (Research & Academic Institutes, Biotechnology & Pharmaceutical Companies, Hospital & Clinics), Global Forecast (2023-2032)

Description

List of Tables

Gene prediction tools market size is predicted to witness around 18% CAGR from 2023 to 2032 due to the escalating demand for precision medicine and the growing understanding of the intricate relationship between genetics and disease. As researchers delve deeper into the human genome, the need for advanced gene prediction tools becomes paramount.

The convergence of high-throughput sequencing technologies, artificial intelligence, and machine learning is propelling the development of sophisticated tools that can accurately predict gene functions and identify potential disease-causing mutations. For instance, in June 2023, Illumina Inc., a global leader in DNA sequencing announced the launch of the all new PrimateAI-3D. This AI algorithm predicts the disease-causing genetic mutation in patients. This technological synergy is fostering a robust ecosystem, propelling the gene prediction tools market to unprecedented heights.

The gene prediction tools market is classified as per component, application, end-user, and region.

The service component segment is expected to witness substantial growth through 2032. As the complexity of genomic data increases, researchers and biotech companies are turning to specialized service providers for data analysis and interpretation. These services encompass a spectrum of offerings, including functional annotation, pathway analysis, and variant prioritization. They allow researchers to leverage the expertise of professionals in the field to derive meaningful insights from vast genomic datasets, thus boosting the demand for service.

The diagnostics segment is anticipated to record strong CAGR from 2023 to 2032 as they become an indispensable part of identifying genetic markers associated with various diseases. The adoption of of gene prediction tools for diagnostics is on a surge as healthcare providers recognize the potential of these tools in enabling early disease detection and personalized treatment strategies. Their ability to analyze and interpret genomic data aids in the identification of disease predispositions, facilitating a paradigm shift towards preventive and personalized healthcare.

Asia Pacific gene prediction tools market will generate massive revenues by 2032 driven by increasing investments in genomics research, rising awareness about personalized medicine, and a growing healthcare infrastructure. Governments and private entities in countries such as China, Japan, and India are actively promoting genomic research initiatives to improve the overall healthcare landscape. This factor, along with improved cognizance pertaining to the benefits of these tools is positively swaying the regional market outlook.

Product Code: 6682

Chapter 1 Methodology & Scope

1.1 Market definition
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Covid-19 impact analysis at global level
1.5 Data validation
1.6 Data sources
- 1.6.1 Secondary
  - 1.6.1.1 Paid sources
  - 1.6.1.2 Public sources
- 1.6.2 Primary

Chapter 2 Executive Summary

2.1 Gene prediction tools industry 360 degree synopsis, 2018 - 2032 (USD Million)
- 2.1.1 Business trends
- 2.1.2 Region trends
- 2.1.3 Component trends
- 2.1.4 Application trends
- 2.1.5 End-user trends

Chapter 3 Gene Prediction Tools Market Insights

3.1 Industry landscape, 2018 - 2032 (USD Million)
3.2 Industry impact forces
- 3.2.1 Growth drivers
  - 3.2.1.1 Rising demand for personalized medicines
  - 3.2.1.2 Increasing advancements in genomic research
  - 3.2.1.3 Increasing adoption of bioinformatics
  - 3.2.1.4 Growing applications of genomics
- 3.2.2 Industry pitfalls & challenges
  - 3.2.2.1 Data quality and complexity
  - 3.2.2.2 Stringent regulatory approval process
3.3 Growth potential analysis
- 3.3.1 By component
- 3.3.2 By application
- 3.3.3 By end-user
3.4 COVID-19 impact analysis
3.5 Regulatory landscape
3.6 Porter's analysis
3.7 PESTEL analysis

Chapter 4 Competitive Landscape, 2022

4.1 Introduction
4.2 Company matrix analysis, 2022
4.3 Competitive positioning matrix, 2022
4.4 Strategic dashboard, 2022

Chapter 5 Gene Prediction Tools Market Estimates and Forecast, By Component (USD Million)

5.1 Key trends, by component
5.2 Software
5.3 Service

Chapter 6 Gene Prediction Tools Market Estimates and Forecast, By Application (USD Million)

6.1 Key trends, by application
6.2 Drug discovery & designing
6.3 Diagnostics
6.4 Other applications

Chapter 7 Gene Prediction Tools Market Estimates and Forecast, By End-user (USD Million)

7.1 Key trends, by end-user
7.2 Research & academic institutes
7.3 Biotechnology companies
7.4 Hospitals & clinics
7.5 Diagnostic laboratories

Chapter 8 Gene Prediction Tools Market Estimates and Forecast, By Region (USD Million)

8.1 Key trends, by region
8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
8.3 Europe
- 8.3.1 Germany
- 8.3.2 UK
- 8.3.3 France
- 8.3.4 Spain
- 8.3.5 Italy
- 8.3.6 Switzerland
- 8.3.7 Rest of Europe
8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 Japan
- 8.4.3 India
- 8.4.4 Australia
- 8.4.5 South Korea
- 8.4.6 Rest of Asia Pacific
8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Rest of Latin America
8.6 Middle East & Africa
- 8.6.1 South Africa
- 8.6.2 Saudi Arabia
- 8.6.3 Rest of Middle East & Africa

Chapter 9 Company Profiles

9.1 AzoLifeScience
9.2 Softberry Technologies
9.3 DNASTAR
9.4 Qiagen NV
9.5 Illumina, Inc.
9.6 BGI Genomics
9.7 Genscript
9.8 Exiqon
9.9 Geneious
9.10 Thermo Fisher Scientific, Inc.