Artificial Intelligence (AI) in Drug Discovery Market will reach $2.57 billion by 2026 with Enlist CAGR 30.3%

The global Artificial Intelligence (AI) in Drug  market research report is the well-analyzed solution for the decision-makers and academicians who are seeking a detailed analysis in terms of both qualitative as well as quantitative, for the historic period and for the upcoming years forecast. The research report encompasses the industry overview along with the forthcoming threats and supporting factors that will drive or hamper the market growth and provide opportunities in the near future.

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The Artificial Intelligence (AI) in Drug  market is finely segmented by considering the most important and responsive aspects of the respective market. Additionally, the segments are well analyzed for every geographical region including United States, European Union, China, Japan, India, Korea, and Southeast Asia. The major countries are covered with detailed information.

Most importantly, the impact of the COVID-19 pandemic that has disrupted the global market in terms of the supply chain, money flow, and overall market economics is comprehensively covered by including qualitative and quantitative approaches in the final report.

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Apart from the segmentation, the market research report encompasses established strategic tools (Value Chain Analysis, Supply Channel Analysis, Porter's five forces model, and others) that help individuals in easy understanding and analyzing the overall information in a more comprehensive and systematic manner.

Most of the top major players are being covered in the research report along with their product offerings, revenue contribution, regional presence, strategic developments, and business strength.

Table of Contents: 

Global Artificial Intelligence (AI) in Drug Market Research Repot 2026

1 Introduction 10
1.1 Industry Definition and Research Scope 10
1.1.1 Industry Definition 10
1.1.2 Research Scope 11
1.2 Research Methodology 14
1.2.1 Overview of Market Research Methodology 14
1.2.2 Market Assumption 15
1.2.3 Secondary Data 15
1.2.4 Primary Data 15
1.2.5 Data Filtration and Model Design 17
1.2.6 Market Size/Share Estimation 18
1.2.7 Research Limitations 19
1.3 Executive Summary 20
2 Market Overview and Dynamics 23
2.1 Market Size and Forecast 23
2.2 Major Growth Drivers 25
2.3 Market Restraints and Challenges 28
2.4 Emerging Opportunities and Market Trends 31
2.5 Porter’s Fiver Forces Analysis 35
3 Segmentation of Global Market by Offering 39
3.1 Market Overview by Offering 39
3.2 Software 41
3.3 Service 42
4 Segmentation of Global Market by Technology 43
4.1 Market Overview by Technology 43
4.2 Deep Learning 45
4.3 Supervised Learning 46
4.4 Reinforcement Learning 47
4.5 Unsupervised Learning 48
4.6 Other Technologies 49
5 Segmentation of Global Market by Drug Type 50
5.1 Market Overview by Drug Type 50
5.2 Large-molecule Drugs 52
5.3 Small-molecular Drugs 53
6 Segmentation of Global Market by Therapeutic Area 54
6.1 Market Overview by Therapeutic Area 54
6.2 Oncology 57
6.3 Neurodegenerative Diseases 58
6.4 Cardiovascular Disease 59
6.5 Metabolic Diseases 60
6.6 Other Therapeutic Areas 61

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