Deep Learning Market Segmentation
Key segments of deep learning market are Oncological Disorders, Infectious Diseases, Neurological Disorders, Immunological Disorders, Endocrine Disorders, Cardiovascular Disorders, Respiratory Disorders, Eye Disorders, Musculoskeletal Disorders, Inflammatory Disorders and Other Disorders. Further, It is worth mentioning that there has been a steady increase in the number companies providing deep-learning powered drug discovery services / platforms. In fact, more than 45% players were established post 2015. This can be attributed to the rising interest of industry stakeholders towards the implementation of advanced technologies in the drug discovery process. Examples of recently established firms include (in alphabetical order; established post-2020) Cortex Discovery (2021), Ensem Therapeutics (2021), Isomorphic Labs (2021) and Merative (2022). It is worth highlighting that big data has emerged as the primary driver for the implementation of advanced deep learning technologies for the purpose of drug discovery.The current deep learning market landscape features the presence of over 130 players that are actively engaged in offering deep learning technologies / services for the purpose of diagnostics.
Deep Learning Market Geographical Regions
Key Geographical Regions of Deep Learning Market are North America, Europe, Asia Pacific, Rest of the World. Majority of the small players (81%) offer image processing solutions using their deep learning technologies, followed by cloud-based solutions (65%). It is worth highlighting that biomarker identification services are predominantly offered by mid-sized players engaged in the deep learning domain.
The players offering deep learning-powered technologies / services for drug discovery were analyzed across several relevant parameters.
Deep Learning Market Key Companies
Key Companies involved in deep learning market are Aegicare, Aiforia Technologies, Ardigen, Berg, Google, Huawei, Merative , Nference, Nvidia, Owkin, Phenomic AI, Pixel AI. Most of the solutions are being used for analyzing CT images, followed by those employed for processing MRI images, ultrasound and X-ray images. It is worth highlighting that majority of the stakeholders have the required deep learning expertise for discovery of candidates targeting oncological (62%), followed by neurological disorders (37%). Examples of firms capable of enabling deep learning in diagnostics for therapies targeting neurological disorders include (in alphabetical order) Aidoc, BERG, DeepScopy, icometrix and Keya Medical. Browse Complete Report at https://www.rootsanalysis.com/reports/deep-learning-in-drug-discovery-market/156.html