AI in Pharma and Biotech Market Hits New High | Major Giants BenevolentAI, Insilico Medicine, Atomwise, Recursion

HTF MI just released the Global AI in Pharma and Biotech Market Study, a comprehensive analysis of the market that spans more than 143+ pages and describes the product and industry scope as well as the market prognosis and status for 2025-2032. The marketization process is being accelerated by the market study's segmentation by important regions. The market is currently expanding its reach.

Major companies profiled in AI in Pharma and Biotech Market are: BenevolentAI, Insilico Medicine, Atomwise, Recursion, IBM Watson Health, Deep Genomics, BioAge Labs, Google DeepMind, NVIDIA, Schrödinger, Aria Pharmaceuticals, GNS Healthcare, Evaxion, BioXcel, Microsoft, PathAI, Owkin, Sensyne Health, VeriSIM Life, Cyclica.

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HTF Market Intelligence projects that the global AI in Pharma and Biotech market will expand at a compound annual growth rate (CAGR) of 27.5% from 2025 to 2033, from USD 1.6 Billion in 2025 to USD 11.2 Billion by 2033.

The following Key Segments Are Covered in Our Report

By Type
Drug Discovery AI, Trial Optimization, Genomics AI, Personalized Medicine AI, Predictive Toxicology

By Application
Drug development, Trial design, Target validation, Genomic analysis, Biomarker discovery

Definition: AI in pharma and biotech utilizes machine learning and deep learning tools to accelerate drug discovery, enhance clinical trial design, and personalize medical treatments. From analyzing genomic datasets to simulating drug interactions, AI significantly reduces the time and cost of pharmaceutical R&D. Applications include predicting disease progression, identifying new drug candidates, and developing precision medicine approaches. With rising investments and evolving regulatory support, AI is becoming integral to next-gen biotech innovation.

Market Trends:
• Generative AI for molecule design, Real-world data modeling, AI in synthetic biology, AI CRO platforms, Clinical trial digital twins

Market Drivers:
• High R&D costs, Need for faster drug discovery, Precision medicine boom, AI-model availability, Data accessibility

Market Challenges:
• Data privacy in healthcare, Limited datasets, Model accuracy, Regulatory compliance, Integration with legacy systems

Dominating Region:
North America

Fastest-Growing Region:
Europe

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The titled segments and sub-section of the market are illuminated below:
In-depth analysis of AI in Pharma and Biotech market segments by Types: Drug Discovery AI, Trial Optimization, Genomics AI, Personalized Medicine AI, Predictive Toxicology

Detailed analysis of AI in Pharma and Biotech market segments by Applications: Drug development, Trial design, Target validation, Genomic analysis, Biomarker discovery

Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
• The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
• North America (United States, Mexico & Canada)
• South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
• Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
• Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

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AI in Pharma and Biotech Market Research Objectives:
- Focuses on the key manufacturers, to define, pronounce and examine the value, sales volume, market share, market competition landscape, SWOT analysis, and development plans in the next few years.
- To share comprehensive information about the key factors influencing the growth of the market (opportunities, drivers, growth potential, industry-specific challenges and risks).
- To analyze the with respect to individual future prospects, growth trends and their involvement to the total market.
- To analyze reasonable developments such as agreements, expansions new product launches, and acquisitions in the market.
- To deliberately profile the key players and systematically examine their growth strategies.

FIVE FORCES & PESTLE ANALYSIS:
In order to better understand market conditions five forces analysis is conducted that includes the Bargaining power of buyers, Bargaining power of suppliers, Threat of new entrants, Threat of substitutes, and Threat of rivalry.
• Political (Political policy and stability as well as trade, fiscal, and taxation policies)
• Economical (Interest rates, employment or unemployment rates, raw material costs, and foreign exchange rates)
• Social (Changing family demographics, education levels, cultural trends, attitude changes, and changes in lifestyles)
• Technological (Changes in digital or mobile technology, automation, research, and development)
• Legal (Employment legislation, consumer law, health, and safety, international as well as trade regulation and restrictions)
• Environmental (Climate, recycling procedures, carbon footprint, waste disposal, and sustainability)

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Points Covered in Table of Content of Global AI in Pharma and Biotech Market:
Chapter 01 - AI in Pharma and Biotech Executive Summary
Chapter 02 - Market Overview
Chapter 03 - Key Success Factors
Chapter 04 - Global AI in Pharma and Biotech Market - Pricing Analysis
Chapter 05 - Global AI in Pharma and Biotech Market Background or History
Chapter 06 - Global AI in Pharma and Biotech Market Segmentation (e.g. Type, Application)
Chapter 07 - Key and Emerging Countries Analysis Worldwide AI in Pharma and Biotech Market
Chapter 08 - Global AI in Pharma and Biotech Market Structure & worth Analysis
Chapter 09 - Global AI in Pharma and Biotech Market Competitive Analysis & Challenges
Chapter 10 - Assumptions and Acronyms
Chapter 11 - AI in Pharma and Biotech Market Research Methodology

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sales@htfmarketreport.com

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This release was published on openPR.