North America Machine Learning in Pharmaceutical Industry Market Size 2029

North America Machine Learning in Pharmaceutical Industry Market Size, Share & Industry Trends Analysis Report By Component (Solution and Services), By Deployment Mode (Cloud and On-premise), By Organization size, By Country and Growth Forecast, 2023 - 2029

Published Date: April-2023 | Number of Pages: 85 | Format: PDF | Report ID: KBV-15237

Special Offering: Industry Insights | Market Trends | Highest number of Tables | 24/7 Analyst Support


Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 North America Machine Learning in Pharmaceutical Industry Market, by Component
1.4.2 North America Machine Learning in Pharmaceutical Industry Market, by Deployment Mode
1.4.3 North America Machine Learning in Pharmaceutical Industry Market, by Organization size
1.4.4 North America Machine Learning in Pharmaceutical Industry Market, by Country
1.5 Methodology for the research

Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market composition & scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints

Chapter 3. Competition Analysis - Global
3.1 KBV Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2019-2023)
3.3.2 Key Strategic Move: (Partnerships, Collaborations and Agreements : 2019, Sep – 2023, Mar) Leading Players

Chapter 4. North America Machine Learning in Pharmaceutical Industry Market by Component
4.1 North America Solution Market by Country
4.2 North America Services Market by Country

Chapter 5. North America Machine Learning in Pharmaceutical Industry Market by Deployment Mode
5.1 North America Cloud Market by Country
5.2 North America On premise Market by Country
Chapter 6. North America Machine Learning in Pharmaceutical Industry Market by Organization size
6.1 North America Large Enterprises Market by Country
6.2 North America SMEs Market by Country

Chapter 7. North America Machine Learning in Pharmaceutical Industry Market by Country
7.1 US Machine Learning in Pharmaceutical Industry Market
7.1.1 US Machine Learning in Pharmaceutical Industry Market by Component
7.1.2 US Machine Learning in Pharmaceutical Industry Market by Deployment Mode
7.1.3 US Machine Learning in Pharmaceutical Industry Market by Organization size
7.2 Canada Machine Learning in Pharmaceutical Industry Market
7.2.1 Canada Machine Learning in Pharmaceutical Industry Market by Component
7.2.2 Canada Machine Learning in Pharmaceutical Industry Market by Deployment Mode
7.2.3 Canada Machine Learning in Pharmaceutical Industry Market by Organization size
7.3 Mexico Machine Learning in Pharmaceutical Industry Market
7.3.1 Mexico Machine Learning in Pharmaceutical Industry Market by Component
7.3.2 Mexico Machine Learning in Pharmaceutical Industry Market by Deployment Mode
7.3.3 Mexico Machine Learning in Pharmaceutical Industry Market by Organization size
7.4 Rest of North America Machine Learning in Pharmaceutical Industry Market
7.4.1 Rest of North America Machine Learning in Pharmaceutical Industry Market by Component
7.4.2 Rest of North America Machine Learning in Pharmaceutical Industry Market by Deployment Mode
7.4.3 Rest of North America Machine Learning in Pharmaceutical Industry Market by Organization size

Chapter 8. Company Profiles
8.1 NVIDIA Corporation
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Segmental and Regional Analysis
8.1.4 Research & Development Expenses
8.1.5 Recent strategies and developments:
8.1.5.1 Partnerships, Collaborations, and Agreements:
8.1.5.2 Acquisition and Mergers:
8.1.6 SWOT Analysis
8.2 IBM Corporation
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Regional & Segmental Analysis
8.2.4 Research & Development Expenses
8.2.5 Recent strategies and developments:
8.2.5.1 Partnerships, Collaborations, and Agreements:
8.2.5.2 Acquisition and Mergers:
8.2.6 SWOT Analysis
8.3 Microsoft Corporation
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Segmental and Regional Analysis
8.3.4 Research & Development Expenses
8.3.5 Recent strategies and developments:
8.3.5.1 Partnerships, Collaborations, and Agreements:
8.3.5.2 Product Launches and Product Expansions:
8.3.6 SWOT Analysis
8.4 Google LLC (Alphabet, Inc.)
8.4.1 Company Overview
8.4.2 Financial Analysis
8.4.3 Segmental and Regional Analysis
8.4.4 Research & Development Expense
8.4.5 Recent strategies and developments:
8.4.5.1 Product Launches and Product Expansions:
8.4.6 SWOT Analysis
8.5 Cyclica, Inc.
8.5.1 Company Overview
8.5.2 Recent strategies and developments:
8.5.2.1 Partnerships, Collaborations, and Agreements:
8.5.2.2 Product Launches and Product Expansions:
8.6 BioSymetrics, Inc.
8.6.1 Company Overview
8.6.2 Recent strategies and developments:
8.6.2.1 Partnerships, Collaborations, and Agreements:
8.6.2.2 Product Launches and Product Expansions:
8.7 Deep Genomics Incorporated
8.7.1 Company Overview
8.7.2 Recent strategies and developments:
8.7.2.1 Partnerships, Collaborations, and Agreements:
8.8 Atomwise, Inc.
8.8.1 Company Overview
8.8.2 Recent strategies and developments:
8.8.2.1 Partnerships, Collaborations, and Agreements:
8.9 Cloud Pharmaceuticals, Inc.
8.9.1 Company Overview

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