Market Executive Summary

The global market for AI-assisted Drug Design (AIDD) was estimated to be worth US$ 2280 million in 2024 and is forecast to a readjusted size of US$ 14470 million by 2031 with a CAGR of 30.7% during the forecast period 2025-2031.

Growth Drivers – AI-Assisted Drug Design (AIDD)

Acceleration of Drug Discovery Timelines

AI and machine learning are transforming traditional R&D cycles—shrinking years of experimental testing into months. This rapid acceleration is driving adoption across biotech, pharma, and academic research institutions.

Rising Demand for Precision Medicine

With a growing focus on targeted therapies and personalized treatment, AIDD platforms are being integrated to identify promising molecular candidates tailored to individual patient profiles.

Big Pharma & Tech Synergy

Strategic collaborations between tech giants (Google, Microsoft, NVIDIA) and pharmaceutical firms are creating robust AI ecosystems for computational chemistry, bioinformatics, and simulation-driven drug modeling.

Advancements in Protein Structure Prediction

Breakthroughs like DeepMind’s AlphaFold have pushed the envelope in protein structure prediction—an essential part of drug design—spurring further interest and investment in AI platforms.

Cost-Effective Drug Development

AIDD helps reduce attrition rates by identifying failed compounds earlier in the pipeline—minimizing costs and maximizing the success probability of clinical trials.

Artificial intelligence (AI) has the potential to revolutionize the drug discovery process, offering improved efficiency, accuracy, and speed.

North American market for AI-assisted Drug Design (AIDD) was valued at $ million in 2024 and will reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

Asia-Pacific market for AI-assisted Drug Design (AIDD) was valued at $ million in 2024 and will reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

Europe market for AI-assisted Drug Design (AIDD) was valued at $ million in 2024 and will reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

The global key companies of AI-assisted Drug Design (AIDD) include IBM, Exscientia, Google(Alphabet), Microsoft, Atomwise, Schrodinger, Aitia, Insilico Medicine, NVIDIA, XtalPi, etc. In 2024, the global five largest players hold a share approximately % in terms of revenue.

This report aims to provide a comprehensive presentation of the global market for AI-assisted Drug Design (AIDD), focusing on the total sales revenue, key companies market share and ranking, together with an analysis of AI-assisted Drug Design (AIDD) by region & country, by Type, and by Application.

The AI-assisted Drug Design (AIDD) market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI-assisted Drug Design (AIDD).

Global AI-assisted Drug Design (AIDD) Companies Covered

IBM, Exscientia, Google(Alphabet), Microsoft, Atomwise, Schrodinger, Aitia, Insilico Medicine, NVIDIA, XtalPi, BPGbio, Owkin, CytoReason, Deep Genomics, Cloud Pharmaceuticals, BenevolentAI, Cyclica, Verge Genomics, Valo Health, Envisagenics, Euretos, BioAge Labs, Iktos, BioSymetrics, Evaxion Biotech, Aria Pharmaceuticals

Global AI-assisted Drug Design (AIDD) Market, by Region

North America (U.S., Canada, Mexico)

Europe (Germany, France, UK, Italy, etc.)

Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)

South America (Brazil, etc.)

Middle East and Africa (Turkey, GCC Countries, Africa, etc.)

Global AI-assisted Drug Design (AIDD) Market, Segment by Type

Hardware

Software

Service

Global AI-assisted Drug Design (AIDD) Market, Segment by Application

Early Drug Discovery

Preclinical Phase

Clinical Phase

Regulatory Approval

Chapter Outline

Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 2: Detailed analysis of AI-assisted Drug Design (AIDD) company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.

Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 5: Revenue of AI-assisted Drug Design (AIDD) in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.

Chapter 6: Revenue of AI-assisted Drug Design (AIDD) in country level. It provides sigmate data by Type, and by Application for each country/region.

Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.

Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.

Chapter 9: Conclusion.

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