Market Definition
Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural networks (DNNs), deep learning models are neural networks (algorithms used to simulate the workings of the human brain in order to recognize patterns) that can learn and make predictions on their own by analyzing data, finding patterns, and making decisions.
Market Outlook
The global Digital Genome Market was valued at USD 28.2 Billion in 2022 and it is anticipated to grow up to USD 64.6 Billion by 2032, at a CAGR of 8.6% during the forecast period.
Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural networks (DNNs), deep learning models are neural networks (algorithms used to simulate the workings of the human brain in order to recognize patterns) that can learn and make predictions on their own by analyzing data, finding patterns, and making decisions.
Surge in adoption of precision medicine will remain a key growth driver The demand for digital genome is rapidly gaining popularity owing to continuous reduction in the cost and time required. The sequencing is widely used in the field of oncology, reproductive health and genetics. As a result, firms such as Illumina, Thermo Fisher and Qiagen are developing new innovative technologies in the field of genomics. Digital genomics market will further grow as rising application of sequencing in diagnosis of genetic disorders such as Duchenne Muscular Dystrophy, Fragile X syndrome and FAM Hypercholesterolemia etc. Advent of new technology coupled with rising demand of precision medicines will escalate market over forecast period. The major factors limiting the growth of digital genome market is lack of awareness regarding the digital genome, security & privacy of patient data, and incorrect results. In addition, lack of trained staff for digital genome in various developing economies will further impede the industry growth.
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Research Objectives
- Estimates and forecast the overall market size for the total market, across product, service type, type, end-user, and region
- Detailed information and key takeaways on qualitative and quantitative trends, dynamics, business framework, competitive landscape, and company profiling
- Identify factors influencing market growth and challenges, opportunities, drivers and restraints
- Identify factors that could limit company participation in identified international markets to help properly calibrate market share expectations and growth rates
- Trace and evaluate key development strategies like acquisitions, product launches, mergers, collaborations, business expansions, agreements, partnerships, and R&D activities
- Thoroughly analyze smaller market segments strategically, focusing on their potential, individual patterns of growth, and impact on the overall market
- To thoroughly outline the competitive landscape within the market, including an assessment of business and corporate strategies, aimed at monitoring and dissecting competitive advancements.
- Identify the primary market participants, based on their business objectives, regional footprint, product offerings, and strategic initiatives
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Global Digital Genome Market Segmental Overview
The report analyses the global Digital Genome Market based on component, application, end-use, and region.
Global Digital Genome Market by Product By product, the market is segmented into Sequencing & Analyzer Instruments, DNA/RNA Analysis Kits, Sequencing Chips, Sequencing & Analysis Software, and Sample Preparation Instruments. The market for DNA/RNA analysis kits are growing rapidly. With increasing investments and funding for research on life science, the adoption of digital genome is growing rapidly. Furthermore, high demand for various genotypic analysis and protein analysis are significantly contributing towards demand of digital genomics. The key players operating in the market have further developed advanced process of analysis of genes. With escalating research for genetics, stem cells and oncology, the need for DNA / RNA analysis kits will increase over estimated time frame. The key players of market, Thermo Fisher Scientific, GenomeMe, BiogeniQ and Nanostring has a wide array of kits for tumor gene analysis. The companies have developed kits where quantification of protein as well as analysis of gene expression can be performed in one experiment. The increasing demand for tumor gene analysis and advanced platforms will further propel demand for genome in near future.
Global Digital Genome Market by Application By application, the Digital Genome Market is classified into Microbiology, Reproductive & Genetic, Transplantation, Livestock and Agriculture, Forensics, and Research and Development. Of these microbiogy held the largest market share of around xx% in 2022. A digital genome acts as a supporter that offers instant access to the trait sequences to resolve the custom queries. Advancement in genomics has greatly contributed to development of candidate gene approach and it is one of the most commonly used techniques to identify genes underlying disease traits. More recently, with genomic resources accessible through public Web, DigiCGA (Digital Candidate Gene Approach) have come as a new development in this field. DigiCGA, is an approach that is still in nascent stage but has already achieved some primary success in cancer gene discovery. The predictive analysis through digital genome has started being used widely. This will contribute to digital genome market growth.
Global Digital Genome Market by End-user Based on end-use. It is segmented into Diagnostics & Forensic Labs, Academic Research Institutes, Hospitals, and Bio-Pharmaceutical Companies. Forensic labs are using next-generation sequencing technologies such as Illumina sequencing by synthesis (SBS) for high performance and error-free results. They also use PCR and capillary electrophoresis- based methods widely for DNA testing. National DNA database aids in investigation and identification of suspects, owing to this various country are trying to establish criminal intelligence databases that resulted in increased number of samples for DNA processing. Due to wide range of applications of digital genomics such as identification of missing persons, ancestry investigations, kinship testing and human identification demand for digital genomics is expected to increase by forensic labs.
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Major Players in the Global Digital Genome Market
The key players in the Digital Genome Market Agilent Technologies, Inc., Becton Dickinson, Pacific Biosciences, Perkin Elmer, Sigma Aldrich and Thermo Fisher, among others.
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Research Scope
- Scope – Highlights, Trends, Insights. Attractiveness, Forecast
- Market Sizing – Product Type, End User, Offering Type, Technology, Region, Country, Others
- Market Dynamics – Market Segmentation, Demand and Supply, Bargaining Power of Buyers and Sellers, Drivers, Restraints, Opportunities, Threat Analysis, Impact Analysis, Porters 5 Forces, Ansoff Analysis, Supply Chain
- Business Framework – Case Studies, Regulatory Landscape, Pricing, Policies and Regulations, New Product Launches. M&As, Recent Developments
- Competitive Landscape – Market Share Analysis, Market Leaders, Emerging Players, Vendor Benchmarking, Developmental Strategy Benchmarking, PESTLE Analysis, Value Chain Analysis
- Company Profiles – Overview, Business Segments, Business Performance, Product Offering, Key Developmental Strategies, SWOT Analysis.
- Market Size in 2024 – US$ 28.2 Billion
- Market Size in 2033 – US$ 4.6 Billion
- CAGR – 8.6 %
- Historic Period – 2015-2022
- Forecast Period – 2024-2033
- Base Year – 2024
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