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Artificial Intelligence in Drug Discovery Market by Offering (Services, Software), Application (Cardiovascular Disease, Immuno-Oncology, Metabolic Diseases), End User - Global Forecast 2023-2030

Publisher 360iResearch
Published Oct 05, 2023
Length 184 Pages
SKU # IRE18311949

Description

Artificial Intelligence in Drug Discovery Market by Offering (Services, Software), Application (Cardiovascular Disease, Immuno-Oncology, Metabolic Diseases), End User - Global Forecast 2023-2030


The Artificial Intelligence in Drug Discovery Market is projected to reach USD 5,817.72 million by 2030 from USD 870.33 million in 2022, at a CAGR of 26.80% during the forecast period.

Market Segmentation & Coverage:

This research report analyzes various sub-markets, forecasts revenues, and examines emerging trends in each category to provide a comprehensive outlook on the Artificial Intelligence in Drug Discovery Market.
  • Based on Offering, market is studied across Services and Software. The Services commanded largest market share of 55.21% in 2022, followed by Software.
  • Based on Application, market is studied across Cardiovascular Disease, Immuno-Oncology, Metabolic Diseases, and Neurodegenerative Diseases. The Immuno-Oncology commanded largest market share of 28.63% in 2022, followed by Cardiovascular Disease.
  • Based on End User, market is studied across Contract Research Organizations, Pharmaceutical & Biotechnology Companies, and Research Centers and Academic & Government Institutes. The Pharmaceutical & Biotechnology Companies commanded largest market share of 58.18% in 2022, followed by Contract Research Organizations.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Americas commanded largest market share of 40.44% in 2022, followed by Europe, Middle East & Africa.
Market Statistics:

The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is an indispensable tool for assessing the Artificial Intelligence in Drug Discovery Market. It comprehensively evaluates vendors, analyzing key metrics related to Business Strategy and Product Satisfaction. This enables users to make informed decisions tailored to their specific needs. Through advanced analysis, vendors are categorized into four distinct quadrants, each representing a different level of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V). Be assured that this insightful framework empowers decision-makers to navigate the market with confidence.

Market Share Analysis:

The Market Share Analysis offers invaluable insights into the vendor landscape Artificial Intelligence in Drug Discovery Market. By evaluating their impact on overall revenue, customer base, and other key metrics, we provide companies with a comprehensive understanding of their performance and the competitive environment they confront. This analysis also uncovers the level of competition in terms of market share acquisition, fragmentation, dominance, and industry consolidation during the study period.

Key Company Profiles:

The report delves into recent significant developments in the Artificial Intelligence in Drug Discovery Market, highlighting leading vendors and their innovative profiles. These include Aria Pharmaceuticals, Atomwise, Inc., BenevolentAI Limited, BioSymetrics Inc., Cloud Pharmaceuticals, Inc., Cyclica Inc., Deep Genomics Incorporated, Envisagenics, Inc., Exscientia, Insitro, Inc., International Business Machines Corporation, Microsoft Corporation, Novartis AG, NVIDIA Corporation, Owkin, Inc., Verge Genomics Inc., and XtalPi Inc..

The report offers valuable insights on the following aspects:
  1. Market Penetration: It provides comprehensive information about key players' market dynamics and offerings.
  2. Market Development: In-depth analysis of emerging markets and penetration across mature market segments, highlighting lucrative opportunities.
  3. Market Diversification: Detailed information about new product launches, untapped geographies, recent developments, and investments.
  4. Competitive Assessment & Intelligence: Exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of leading players.
  5. Product Development & Innovation: Intelligent insights on future technologies, R&D activities, and breakthrough product developments.
The report addresses key questions such as:
  1. What is the market size and forecast for the Artificial Intelligence in Drug Discovery Market?
  2. Which products, segments, applications, and areas hold the highest investment potential in the Artificial Intelligence in Drug Discovery Market?
  3. What is the competitive strategic window for identifying opportunities in the Artificial Intelligence in Drug Discovery Market?
  4. What are the latest technology trends and regulatory frameworks in the Artificial Intelligence in Drug Discovery Market?
  5. What is the market share of the leading vendors in the Artificial Intelligence in Drug Discovery Market?
  6. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Drug Discovery Market?


Note: PDF & Excel + Online Access - 1 Year

Table of Contents

184 Pages
1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Artificial Intelligence in Drug Discovery Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Demand to Control Drug Discovery Process and Reduce Cost
5.1.1.2. Increasing Need to Manage the Large Data Generated During Preclinical Studies
5.1.1.3. Increasing Adoption across Biopharmaceutical Companies
5.1.2. Restraints
5.1.2.1. Unavailability of Skilled Professionals
5.1.3. Opportunities
5.1.3.1. AI Cloud to Create a Streamlined and Automated Approach in Drug Discovery
5.1.3.2. Increasingly Growing R&D Investments
5.1.4. Challenges
5.1.4.1. Limited Availability of Data Sets
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of COVID-19
5.5. Cumulative Impact of Russia-Ukraine Conflict
5.6. Cumulative Impact of High Inflation
5.7. Porter’s Five Forces Analysis
5.7.1. Threat of New Entrants
5.7.2. Threat of Substitutes
5.7.3. Bargaining Power of Customers
5.7.4. Bargaining Power of Suppliers
5.7.5. Industry Rivalry
5.8. Value Chain & Critical Path Analysis
5.9. Regulatory Framework
5.10. Client Customization
6. Artificial Intelligence in Drug Discovery Market, by Offering
6.1. Introduction
6.2. Services
6.3. Software
7. Artificial Intelligence in Drug Discovery Market, by Application
7.1. Introduction
7.2. Cardiovascular Disease
7.3. Immuno-Oncology
7.4. Metabolic Diseases
7.5. Neurodegenerative Diseases
8. Artificial Intelligence in Drug Discovery Market, by End User
8.1. Introduction
8.2. Contract Research Organizations
8.3. Pharmaceutical & Biotechnology Companies
8.4. Research Centers and Academic & Government Institutes
9. Americas Artificial Intelligence in Drug Discovery Market
9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States
10. Asia-Pacific Artificial Intelligence in Drug Discovery Market
10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam
11. Europe, Middle East & Africa Artificial Intelligence in Drug Discovery Market
11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom
12. Competitive Landscape
12.1. FPNV Positioning Matrix
12.2. Market Share Analysis, By Key Player
12.3. Competitive Scenario Analysis, By Key Player
13. Competitive Portfolio
13.1. Key Company Profiles
13.1.1. Aria Pharmaceuticals
13.1.2. Atomwise, Inc.
13.1.3. BenevolentAI Limited
13.1.4. BioSymetrics Inc.
13.1.5. Cloud Pharmaceuticals, Inc.
13.1.6. Cyclica Inc.
13.1.7. Deep Genomics Incorporated
13.1.8. Envisagenics, Inc.
13.1.9. Exscientia
13.1.10. Insitro, Inc.
13.1.11. International Business Machines Corporation
13.1.12. Microsoft Corporation
13.1.13. Novartis AG
13.1.14. NVIDIA Corporation
13.1.15. Owkin, Inc.
13.1.16. Verge Genomics Inc.
13.1.17. XtalPi Inc.
13.2. Key Product Portfolio
14. Appendix
14.1. Discussion Guide
14.2. License & Pricing

Pricing

Currency Rates
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