In terms of revenue, the Global Artificial Intelligence In Genomics Market is expected to reach by 2030, growing at a CAGR of 43.2% from 2023 to 2030.
The growth of the Artificial Intelligence In Genomics market can be attributed to several factors. Numerous factors have contributed to the expansion of artificial intelligence in the genomics industry. The rising need for individualized medical care is one of the major forces behind this expansion. Large amounts of genetic data can be analyzed by artificial intelligence to pinpoint specific traits or patterns linked to diseases. These aids medical professionals in the early diagnosis, prevention, and management of diseases.
Moreover, the quantity of data that can be created has increased thanks to the development of high-throughput genomic sequencing platforms, which has increased the demand for artificial intelligence to interpret this data. The accelerating investment in research and development by pharmaceutical companies and academic institutions is another factor influencing the development of artificial intelligence in genomics. A thorough understanding of the genetic mechanisms underlying disease is necessary for the creation of new medications and treatments. This is where AI can help by revealing details about how different cellular pathways, proteins, and genes interact. With the help of this data, more individualized treatment plans and therapies can be created.
Key Highlights from the Report
. Based on the Component, the software and tools segment is the most popular subcategory. This category includes a variety of bioinformatics applications, data analysis tools, and artificial intelligence (AI) algorithms created specifically for genomics research. With the aid of these tools, researchers can analyze sizable genomic data sets, spot trends, forecast the course of diseases, and create individualized treatment regimens. Due to developments in deep learning models and cloud-based analytics platforms, the software and tools category is expanding significantly.
. Based on Technology, machine learning is dominating the application segment of Artificial Intelligence In Genomics market due to its ability to analyze and interpret large amounts of genomic data quickly and accurately. By using machine learning algorithms, researchers can identify patterns and mutations within DNA sequences, leading to advancements in personalized medicine, disease diagnosis, and drug development. Machine learning also enables the prediction of gene functions and interactions, providing valuable insights into genetic variations and their implications. Its efficient and automated nature allows for robust data analysis, driving progress in genomics research and revolutionizing healthcare outcomes.
. Based on Functionality, the Artificial Intelligence In Genomics market is dominated by the segment for genome sequencing and analysis. In this category, DNA sequences are decoded, genomic variants are identified, and their effects on health and disease are examined using AI algorithms and statistical models. Precision medicine depends on genome sequencing and analysis because it helps scientists better understand genetic variations and create targeted treatments. This market is anticipated to experience significant growth in the upcoming years due to the ongoing improvements in DNA sequencing technologies and the growing accessibility of genomic data.
. Based on Application, due to the spread of genetic disorders and the demand for early diagnosis, the diagnostic market segment currently holds a monopoly. Healthcare professionals can interpret enormous amounts of genetic data, spot potential gene mutations, and make precise diagnoses thanks to the application of AI in genomics. Personalized medicine, which customizes treatment plans specifically for individual patients based on their genetic build-up, is also made possible by AI-based diagnostic tools. The diagnostic market segment is anticipated to maintain its dominance in AI in the Artificial Intelligence In Genomics market as a result of the rising demand for personalized medicine.
. Based on End-User, pharmaceutical firms, research organizations, academic institutions, biotechnology firms, and clinical diagnostic laboratories are some of the market participants for artificial intelligence in genomics. Pharmaceutical firms dominate this group as they make significant investments in genomics tools powered by AI to find new drugs and hasten the drug development process. AI has the capability to accelerate and reduce the cost of drug discovery by identifying drug targets, analyzing disease mechanisms, and simulating clinical trials. Additionally, academic institutions have a big impact on the market for AI in genomics because they help researchers decode complex data from genomics experiments using AI algorithms and machine learning models. The market for artificial intelligence (AI) in genomics is expanding as a result of the increasing demand for personalized medicine and precision therapy. AI-based genomics tools can identify specific genetic variations and provide.
. In terms of Region, North America is expected to be the dominating region in
for Artificial Intelligence In Genomics market during the forecast period.The Artificial Intelligence In Genomics market is dominated by the North American region. The region's sophisticated healthcare system and rising demand for personalized medicines can be blamed for this. The region also benefits greatly from government funding and programs that promote healthcare technologies. The machine learning category is in the lead among the segments. Due to its capacity for handling large amounts of data and improved performance in prediction and classification tasks, this is the case. Furthermore, the region's market is anticipated to grow as a result of the growing use of machine-learning algorithms in genomics applications.
In the coming years, artificial intelligence (AI), which is already a vital tool in the genomics industry, is anticipated to fuel even more expansion. The need for AI-powered solutions that can handle massive data processing and analysis has been fueled in part by the growing amount of genomic data that needs to be analyzed. Furthermore, AI can spot trends and insights that are challenging or impossible for humans to notice, enhancing the precision of genomic data analysis. Demand for AI in genomics is also being fueled by the growing use of precision medicine, as machine learning algorithms can help provide patients with personalized treatment plans based on their genetic makeup.
The field of genomics is undergoing a revolution thanks to artificial intelligence (AI), which makes it possible for researchers to analyze enormous amounts of genetic data quickly and accurately. The creation of AI-powered platforms and tools to improve genomic analysis and interpretation is one of the key trends in the AI Artificial Intelligence In Genomics market. Using these tools, researchers can gain a fresh understanding of the genetic basis of diseases and create specialized treatment regimens. Another trend is the growing application of machine learning to the analysis of genomic data, which can be used to spot subtle associations and patterns that humans might miss. A further application of AI is to increase the precision of genomic sequencing methods, which is essential for precision medicine.
North America dominated the overall Artificial Intelligence In Genomics market in 2022, North America Artificial Intelligence In Genomics Market is estimated to be the most dominant region during the projected period due to the presence of key players in the healthcare sector, benevolent governmental policies, and increasing funding for genomics research. Leading technology companies with significant investments in research and development of AI applications for genomics can be found in the area. The demand is anticipated to increase over the next few years as academic and research institutions adopt AI-based genomics research at an increasing rate.
The Global Artificial Intelligence In Genomics Market is Segmented as follows
- Other Components
- Genome Sequencing
- Gene Editing
- Gene Expression Analysis
- Other Functionalities
- Drug Discovery & Development
- Precision Medicine
- Diagnostic Testing
- Agricultural Genomics
- Other Applications
- End User
- Pharmaceutical & Biopharmaceutical Companies
- Academic & Research Institutes
- Healthcare Providers
- Government Organizations
- Other End Users
- Machine Learning
- Natural Language Processing (NLP)
- Computer Vision
- Other Technologies
- North America
- Asia Pacific
- Latin America
- Middle East & Africa
A list of the Key Players of the Global Artificial Intelligence In Genomics Market is
Microsoft Corp. (U.S.), NVIDIA Corp. (U.S.), Deep Genomics Incorporated (Canada), Fabric Genomics Inc. (U.S.), Data4Cure Inc. (U.S.), Predictive Oncology Inc. (U.S.), Emedgene Technologies Ltd. (U.S.), Congenica Ltd. (UK), Tempus Labs Inc. (U.S.), SOPHiA Genetics SA (Switzerland), Illumina Inc. (U.S.), BenevolentAI Ltd. (UK)
The Global Artificial Intelligence In Genomics Market Scope can be Tabulated below
|Market Size Provided for Years||2017 - 2030|
|Historic Years||2017 - 2021|
|Forecast Years||2023 - 2030|
|Regions & Counties Covered||
|Report Coverage||Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PEST analysis, value chain analysis, regulatory landscape, technology landscape, patent analysis, market attractiveness analysis by segments and North America, company market share analysis, and COVID-19 impact analysis|