Global AI for Drug Discovery Market Opportunities & Forecast (2018-2025)-GMI Research

1. Global AI for Drug Discovery Market Opportunities & Forecast (2018-2025)- GMI Research Posted by Sarah Nash November 28, 2018 in Healthcare Global AI for Drug Discovery Market by Drug Type (Small Molecule and Large Molecules), By Technology (Deep Learning and machine learning), By Therapeutic Type (Metabolic Disease, Cardiovascular Disease, Oncology, Neurodegenerative Diseases and Others) End-Users (Pharmaceutical Companies, Biopharmaceutical Companies, Academic and Research Institutes and Others) and by Geography – Opportunities & Forecast, 2018- 2025 Drug discovery is the initial step in the process of a novel drug candidate’s identification and its therapeutic target. Drug discovery or new drug target are being evaluated based on efficacy, potency, bioavailability, and toxicity.

2. Artificial intelligence is widely used in the healthcare industry and especially used for drug discovery. Artificial intelligence technology has the capability to recognize drug targets, and play an important role in drug design, discovery, identification and screening of molecules instantly and effectively. The global AI for the drug discovery market is highly fragmented and have a lower level of competition as few companies matched the required level of expertise. For instance, there are more than 100 AI companies in the world today but only a few of them can enter the AI in the drug discovery sector due to the lack of expertise Request Sample Pages : https://tinyurl.com/y9lwjq79 The AI for Drug Discovery market is rapidly growing, due to the rising number of cross-industry partnerships and collaborations, a significant increase in venture capital investments. Furthermore, the growth in importance of drug discovery and rise in funding of the R&D activities for the use of AI technology in the field of drug discovery is expected to fuel the market growth. Moreover, untapped market opportunities in developing regions such as India and China will support the growth of artificial intelligence in drug discovery in the coming years. However, reluctance among medical practitioners to adopt AI- based technologies, ambiguous regulatory guidelines for medical software and lack of interoperability between AI solutions offered by different vendors are few factors which may impede the growth of AI for drug discovery market during the forecast period. Various notable players operating in the market, include Atomwise, Insilco Medicine, Inc., BIOAGE, Exscientia, twoXAR, Incorporated, Numerate, Inc., NuMedii, Inc., Envisagenics, Globavir, Inc. Cloud Pharmaceuticals, Inc, BenevolentAI among others. Major players are looking toward AI to speed up drug discovery, cut R&D costs, decrease failure rates in drug trials, and eventually create better medicines. For instance, Pfizer entered into research

3. collaboration with IBM Watson to design a system that uses machine learning, to power its search for immuno-oncology drugs. The global AI for drug discovery market has been segmented on the basis of drug type, technology type, therapeutic type, end-use, and key geographies. Based on drug type, the market comprises of the drug type small molecule and large molecules. The research report “global AI for Drug Discovery market” provides in-depth analysis of global AI for drug discovery market based on drug type, technology, therapeutic, end-user and major geographies for the forecast period from 2018 to 2025. The report also highlights the major market drivers propelling the growth as well as challenges faced by market participants. The research report provides market size and forecast for the global AI for the drug discovery market. In addition, the report also analyses the competitive landscape, major players and their strategies in 2018. The competitive landscape section of the report captures and highlights the recent developments in the market. Key questions answered in this research report: 1- At what pace is AI for the drug discovery market growing? What will be the growth trend in the future? 2- What are the key drivers and restraints in the current market? What will be the impact of drivers and restraints in the future? 3- What are the regional revenue and forecast breakdowns? Which are the major regional revenue pockets for growth in the AI for the drug discovery market? 4- What are the various application areas and how they are poised to grow? Market Segmentation By Drug Type • Small Molecule • Large Molecules

4. By Technology • Deep Learning • Machine Learning By Therapeutic Type • Metabolic Disease • Cardiovascular Disease • Oncology • Neurodegenerative Diseases • Others By End-Users • Pharmaceutical Companies • Biopharmaceutical Companies • Academic and Research Institutes • Others By Geography • North America As a part of customization o By Drug Type o By Technology Type o By Therapeutic o By End users o US o Canada o Mexico • Europe As a part of customization o By Drug Type o By Technology Type o By Therapeutic o By End users o UK o Germany

5. o Spain o Rest of Europe • Asia-Pacific As a part of customization o By Drug Type o By Technology Type o By Therapeutic o By End users o China o Australia o India o Rest of APAC • ROW As a part of customization o By Drug Type o By Technology Type o By Therapeutic o By End users o Brazil o South Africa o GCC countries o Rest of world (remaining countries of the LAMEA region) Leading market players • Atomwise • Insilico Medicine, Inc. • BIOAGE • Numerate, Inc. • NuMedii, Inc. • Envisagenics • Globavir, Inc. • Cloud Pharmaceuticals, Inc, • BenevolentAI

6. *Other prominent players in the market which can be profiled as a part of customization: • Exscientia • twoXAR, Incorporated For Sample Pages & Detailed Report Description Click @ https://www.gmiresearch.com/report/global-artificial-intelligence-ai- drug-discovery-market-opportunities-forecast-technology-therapeutic-share- insights.html Table of Contents (TOC) 1. Executive Summary 2. Introduction 2.1. Study Objectives 2.2. Market Definition 2.2.1. Market Covered 2.2.2. Geographical Coverage 2.2.3. Study Years & Currency 2.3. Market Stakeholders 2.4. Key Questions this Study will Answer 2.5. GMI Research’s Approach & Methodology 3. Global AI for Drug Discovery Devices Market – Overview 3.1. Introduction ` 3.2. Market Segmentation 3.3. Pipeline Analysis 3.4. Regulatory Scenario 3.5. Drivers 3.6. Restraints 3.7. Trends 4. Global AI for Drug Discovery Devices Market Revenue Forecast till 2025

7. 5. Global AI for Drug Discovery Devices Market by Drug Type Revenue Forecast till 2025 5.1. Small Molecule 5.2. Large Molecules 6. Global AI for Drug Discovery Devices Market by Technology Revenue Forecast till 2025 6.1. Deep Learning 6.2. Machine Learning 7. Global AI for Drug Discovery Devices Market by Therapeutic Revenue Forecast till 2025 7.1. Metabolic Disease 7.2. Cardiovascular Disease 7.3. Oncology 7.4. Neurodegenerative Diseases 7.5. Others 8. Global AI for Drug Discovery Devices Market by End User Revenue Forecast till 2025 8.1. Pharmaceutical Companies 8.2. Biopharmaceutical Companies 8.3. Academic and Research Institutes 8.4. Others 9. Global AI for Drug Discovery Devices Market by Geography Revenue Forecast till 2025 9.1. North America AI for Drug Discovery Devices Market Revenue Forecast till 2025 9.1.1. North America AI for Drug Discovery Devices Market by Drug Type (Option 1: 25% customization) 9.1.1.1. Small Molecule 9.1.1.2. Large Molecules 9.1.2. North America AI for Drug Discovery Devices Market by Technology 9.1.2.1. Deep Learning 9.1.2.2. Machine Learning

8. 9.1.3. North America AI for Drug Discovery Devices Market by Therapeutic 9.1.3.1. Metabolic Disease 9.1.3.2. Cardiovascular Disease 9.1.3.3. Oncology 9.1.3.4. Neurodegenerative Diseases 9.1.3.5. Others 9.1.4. North America AI for Drug Discovery Devices Market by End User 9.1.4.1. Pharmaceutical Companies 9.1.4.2. Biopharmaceutical Companies 9.1.4.3. Academic and Research Institutes 9.1.4.4. Others 9.2. Europe AI for Drug Discovery Devices Market Revenue Forecast till 2025 9.2.1. Europe AI for Drug Discovery Devices Market by Drug Type (Option 2: 25% customization) 9.2.1.1. Small Molecule 9.2.1.2. Large Molecules 9.2.2. Europe AI for Drug Discovery Devices Market by Technology 9.2.2.1. Deep Learning 9.2.2.2. Machine Learning 9.2.3. Europe AI for Drug Discovery Devices Market by Therapeutic 9.2.3.1. Metabolic Disease 9.2.3.2. Cardiovascular Disease 9.2.3.3. Oncology 9.2.3.4. Neurodegenerative Diseases 9.2.3.5. Others 9.2.4. Europe AI for Drug Discovery Devices Market by End User 9.2.4.1. Pharmaceutical Companies 9.2.4.2. Biopharmaceutical Companies 9.2.4.3. Academic and Research Institutes 9.2.4.4. Others 9.3. Asia-Pacific AI for Drug Discovery Devices Market Revenue Forecast till

9. 2025 9.3.1. Asia-Pacific AI for Drug Discovery Devices Market by Drug Type (Option 3: 25% customization) 9.3.1.1. Small Molecule 9.3.1.2. Large Molecules 9.3.2. Asia-Pacific AI for Drug Discovery Devices Market by Technology 9.3.2.1. Deep Learning 9.3.2.2. Machine Learning 9.3.3. Asia-Pacific AI for Drug Discovery Devices Market by Therapeutic 9.3.3.1. Metabolic Disease 9.3.3.2. Cardiovascular Disease 9.3.3.3. Oncology 9.3.3.4. Neurodegenerative Diseases 9.3.3.5. Others 9.3.4. Asia-Pacific AI for Drug Discovery Devices Market by End User 9.3.4.1. Pharmaceutical Companies 9.3.4.2. Biopharmaceutical Companies 9.3.4.3. Academic and Research Institutes 9.3.4.4. Others 9.4. Rest of the World AI for Drug Discovery Devices Market Revenue Forecast till 2025 9.4.1. Rest of the World AI for Drug Discovery Devices Market by Drug Type (Option 4: 25% customization) 9.4.1.1. Small Molecule 9.4.1.2. Large Molecules 9.4.2. Rest of the World AI for Drug Discovery Devices Market by Technology 9.4.2.1. Deep Learning 9.4.2.2. Machine Learning 9.4.3. Rest of the World AI for Drug Discovery Devices Market by Therapeutic 9.4.3.1. Metabolic Disease

10. 9.4.3.2. Cardiovascular Disease 9.4.3.3. Oncology 9.4.3.4. Neurodegenerative Diseases 9.4.3.5. Others 9.4.4. North America AI for Drug Discovery Devices Market by End User 9.4.4.1. Pharmaceutical Companies 9.4.4.2. Biopharmaceutical Companies 9.4.4.3. Academic and Research Institutes 9.4.4.4. Others 10. Competitive Landscape 10.1. Industry Attractiveness 10.2. Porter 5 Analysis 10.3. Major players and their key strategies 10.4. Company Share Analysis 11. Company Profiles (Option 5: 25% Customization – Profiles of 5 Additional Companies of your Choice) 11.1. Atomwise 11.1.1. Company Overview 11.1.2. Financials 11.1.3. Recent Developments 11.2. Insilico Medicine, Inc. 11.2.1. Company Overview 11.2.2. Financials 11.2.3. Recent Developments 11.3. BIOAGE 11.3.1. Company Overview 11.3.2. Financials 11.3.3. Recent Developments 11.4. Numerate, Inc. 11.4.1. Company Overview

11. 11.4.2. Financials 11.4.3. Recent Developments 11.5. NuMedii, Inc. 11.5.1. Company Overview 11.5.2. Financials 11.5.3. Recent Developments 11.6. Envisagenics 11.6.1. Company Overview 11.6.2. Financials 11.6.3. Recent Developments 11.7. Cloud Pharmaceuticals, Inc. 11.7.1. Company Overview 11.7.2. Financials 11.7.3. Recent Developments 11.8. BenevolentAI 11.8.1. Company Overview 11.8.2. Financials 11.8.3. Recent Developments 11.9. Exscientia 11.9.1. Company Overview 11.9.2. Financials 11.9.3. Recent Developments 11.10. twoXAR, Incorporated 11.10.1. Company Overview 11.10.2. Financials 11.10.3. Recent Developments 12. About GMI Research Buy Report @ https://tinyurl.com/y9lwjq79

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