藥物研發中人工智慧的全球市場 - 市場規模、佔有率、成長分析：按類型、最終用戶分類 - 產業預測 (2023-2030)

Global AI in Drug Discovery Market Size, Share, Growth Analysis, By Type(Small molecules and Large molecules), By End-User(Pharmaceutical and Biotechnology Companies and Academics and Research institutes) - Industry Forecast 2023-2030

出版日期: 2023年10月17日 | 出版商:

SkyQuest | 英文 157 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

預計 2021 年人工智慧在藥物研發的全球市場規模將達到 8.5 億美元，2022 年將達到 11.016 億美元。預計該市場在預測期（2023-2030年）將以29.6%的年複合成長率擴張，到2030年達到49.828億美元。

全球藥物研發領域的人工智慧市場是一個快速發展和變革的領域，它將人工智慧 (AI) 和機器學習 (ML) 的力量與傳統藥物研發流程相結合。人工智慧正在透過提供藥物研發的解決方案來徹底改變藥物發現過程，加速新藥的發現和開發、最佳化臨床試驗並改善患者的治療結果。藥物研發中的人工智慧利用計算演算法和先進的資料分析來分析大量的生物和化學資料。這使得研究人員能夠識別潛在的藥物研發標靶、設計新分子、預測其特性並評估安全性和有效性。透過利用人工智慧，製藥公司和研究機構可以簡化藥物研發流程、降低成本並提高新藥上市的成功率。全球藥物研發市場的人工智慧正在見證製藥公司、科技公司和創業投資的顯著成長和投資。該市場的推動因素包括對創新和有效藥物的需求不斷增加、生命科學產業巨量資料的可用性不斷增加以及人工智慧和機器學習技術的進步。此外，法規機構正在認知到人工智慧在藥物研發的潛力，並積極努力製定實施指南和框架。

在世界各地，慢性病的盛行率正在迅速增加。美國疾病管制與預防中心 (CDC) 估計，美國每 10 人中就有 6 人患有慢性病。疾病預防控制中心也強調，糖尿病和心臟病等慢性疾病是美國的主要原因。這些數字凸顯了慢性病盛行率的上升以及降低這些疾病造成的死亡率的必要性。利用藥物研究中使用的人工智慧平台，深入了解識別治療和減輕各種慢性疾病嚴重程度的藥物被視為實用的替代。

該報告研究了藥物研發市場中的全球人工智慧，並提供了市場概述、按類型、最終用戶、地區和進入市場的公司概況分類的趨勢。

主要企業簡介
- IBM Corporation
- Google LLC
- Microsoft Corporation
- NVIDIA Corporation
- Insilico Medicine
- BenevolentAI Ltd
- Exscientia Ltd
- Atomwise Inc
- Berg LLC
- XtalPi Inc
- Numerate Inc
- Cyclica Inc
- Envisagenics Inc
- BioXcel Therapeutics Inc
- Recursion Pharmaceuticals Inc
- Atomwise Inc
- Healx Ltd
- Cloud Pharmaceuticals Inc
- TwoXAR Incorporated
- Cerebras Systems Inc

簡介目錄

Product Code: SQMIG35J2061

Global AI in Drug Discovery Market size was valued at USD 850 million in 2021 and is poised to grow from USD 1,101.6 million in 2022 to USD 4,982.8 million by 2030, growing at a CAGR of 29.6% during the forecast period (2023-2030).

The global AI in drug discovery market is a rapidly evolving and transformative field that combines the power of artificial intelligence (AI) and machine learning (ML) with traditional pharmaceutical research and development processes. AI is revolutionizing the drug discovery process by offering innovative solutions to accelerate the discovery and development of new drugs, optimize clinical trials, and improve patient outcomes. AI in drug discovery leverages computational algorithms and advanced data analytics to analyze massive amounts of biological and chemical data. It enables researchers to identify potential drug targets, design novel molecules, predict their properties, and assess their safety and efficacy. By utilizing AI, pharmaceutical companies and research institutions can streamline the drug discovery process, reduce costs, and increase the success rate of bringing new drugs to market. The global AI in drug discovery market is witnessing significant growth and investment from pharmaceutical companies, technology firms, and venture capitalists. The market is driven by factors such as the increasing demand for innovative and effective drugs, the growing availability of big data in the life sciences industry, and advancements in AI and ML technologies. Furthermore, regulatory agencies are increasingly recognizing the potential of AI in drug discovery and are actively working to establish guidelines and frameworks for its implementation.

Top-down and bottom-up approaches were used to estimate and validate the size of the global AI In Drug Discovery Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined by using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global AI In Drug Discovery Market Segmental Analysis

Global AI in Drug Discovery Market is segmented type, end-user, and region. Based on Technology, the market can be segmented into small molecules and large molecules. Based on end-user, the market is segmented into Pharmaceutical and Biotechnology Companies and Academics and Research institutes. Based on region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.

Global AI In Drug Discovery Market Dynamics

Drivers of the Global AI In Drug Discovery Market

Rise in incidence of chronic diseases propels need for AI in drug discovery

Around the world, the prevalence of chronic diseases is rising quickly. The Centres for Disease Control and Prevention (CDC) estimate that six out of ten persons in the United States have a chronic illness. The CDC also emphasises that chronic illnesses like diabetes and heart disease are the main killers in the United States. These figures highlight the rising incidence of chronic diseases and the necessity of reducing the death rate brought on by these illnesses. Deriving insights into the identification of medications to treat and lessen the severity of various chronic diseases may show to be a practical alternative using AI platforms utilised for drug research.

Restraints in the Global AI In Drug Discovery Market

High cost associated with technology and technical limitations

The healthcare industry currently faces a number of difficult problems, such as rising medicine and therapy costs, and society needs specific, significant improvements in this area. Since this data are utilised for the following training that is given to the system, the success of AI as a whole hinges on their availability. For a business, accessing data from different database providers may result in additional expenses. Clinical trials take six to seven years to complete and include a substantial monetary investment in order to determine the safety and effectiveness of a medicinal product in people for a specific disease condition. Only one out of every ten compounds that undergo these trials, however, receive successful clearance, which represents a significant loss for the industry.

Market Trends of Global AI In Drug Discovery Key

The global AI in drug discovery market is characterized by several key market trends that are shaping the industry's landscape. Firstly, there is an increasing adoption of AI technologies as pharmaceutical companies recognize their potential in analyzing complex biological and chemical data. By leveraging AI capabilities, drug discovery processes are becoming more efficient and successful. Collaborations and partnerships are on the rise in AI in drug discovery market. Pharmaceutical companies, technology firms, and academic institutions are joining forces to combine expertise and resources. These collaborations accelerate innovation and knowledge sharing, leading to advancements in AI-driven drug discovery. Overall, these key market trends highlight the transformative impact of AI in drug discovery. By enhancing efficiency, precision, and personalized medicine approaches, AI technologies are shaping the future of pharmaceutical research and development.

Executive Summary
- Market Overview
- Wheel of Fortune
Research Methodology
- Information Procurement
- Secondary & Primary Data Sources
- Market Size Estimation
- Market Assumptions & Limitations
Parent Market Analysis
- Market Overview
- Market Size
- Market Dynamics
Drivers
Opportunities
Restraints
Challenges
Key Market Insights
- Technology Analysis
- Pricing Analysis
- Supply Chain Analysis
- Value Chain Analysis
- Ecosystem of the Market
- IP Analysis
- Trade Analysis
- Startup Analysis
- Raw Material Analysis
- Innovation Matrix
- Pipeline Product Analysis
- Macroeconomic Indicators
- Top Investment Analysis
- Key Success Factor
- Degree of Competition
Market Dynamics & Outlook
- Market Dynamics
Drivers
Opportunities
Restraints
Challenges
- Regulatory Landscape
- Porters Analysis
Competitive rivalry
Threat of Substitute Products
Bargaining Power of Buyers
Threat of New Entrants
Bargaining Power of Suppliers
- Skyquest Special Insights on Future Disruptions
Political Impact
Economic Impact
Social Impact
Technical Impact
Environmental Impact
Legal Impact
Global AI in Drug Discovery Market by Type
- Market Overview
- Small molecules and Large molecules
Global AI in Drug Discovery Market by End-User
- Market Overview
- Pharmaceutical and Biotechnology Companies and Academics and Research institutes
Global AI in Drug Discovery Market Size by Region
- Market Overview
- North America
USA
Canada
- Europe
Germany
Spain
France
UK
Rest of Europe
- Asia Pacific
China
India
Japan
South Korea
Rest of Asia-Pacific
- Latin America
Brazil
Rest of Latin America
- Middle East & Africa (MEA)
GCC Countries
South Africa
Rest of MEA
Competitive Landscape
- Top 5 Player Comparison
- Market Positioning of Key Players, 2021
- Strategies Adopted by Key Market Players
- Top Winning Strategies
By Development
By Company
By Year
- Recent Activities in the Market
- Key Companies Market Share (%), 2021
Key Company Profiles
- IBM Corporation (US)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- Google LLC (US)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- Microsoft Corporation (US)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- NVIDIA Corporation (US)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- Insilico Medicine (US)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- BenevolentAI Ltd (UK)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- Exscientia Ltd (UK)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- Atomwise Inc (US)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- Berg LLC (US)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- XtalPi Inc (China)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- Numerate Inc (US)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- Cyclica Inc (Canada)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- Envisagenics Inc (US)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- BioXcel Therapeutics Inc (US)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- Recursion Pharmaceuticals Inc (US)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- Atomwise Inc (US)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- Healx Ltd (UK)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- Cloud Pharmaceuticals Inc (US)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- TwoXAR Incorporated (US)
Company Overview
Business Segment Overview
Financial Updates
Key Developments
- Cerebras Systems Inc (US)
Company Overview
Business Segment Overview
Financial Updates
Key Developments