Press release
AI in Biotech Market Is Going to Boom| Major Giants Schrödinger, Healx, Valo Health, Exscientia
HTF MI just released the Global AI in 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 2025-2033. The marketization process is being accelerated by the market study's segmentation by important regions. The market is currently expanding its reach.Key Manufacturers and Players in This Report:
IBM Watson Health, BenevolentAI, Insilico Medicine, Exscientia, Recursion Pharmaceuticals, Atomwise, Deep Genomics, BioXcel Therapeutics, Schrödinger, Cloud Pharmaceuticals, Berg Health, Cloud Pharmaceuticals, Healx, Valo Health, GNS Healthcare, Numerate
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According to HTF Market, the global AI in Biotech market is projected to grow from 5.0 Billion USD in 2025 to 15.0 Billion USD by 2033, at a CAGR of 14%.
The AI in Biotech market is segmented by Types (Drug Discovery AI, Genomics AI, Diagnostics AI, Lab Automation AI, Predictive Analytics), Application (Drug Development, Genomic Research, Personalized Medicine, Clinical Diagnostics, Industrial Biotechnology) and by Geography (North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA).
Definition:
The AI in Biotech Market refers to the application of artificial intelligence and machine learning technologies in biotechnology for drug discovery, genomics, diagnostics, biomarker identification, and process optimization.
Trends:
• Shift toward AI-driven drug design, gene editing, and molecular diagnostics is trending
• Adoption of cloud-based and integrated AI platforms is emerging
• Integration with big data analytics, bioinformatics, and automation is influencing trends
Drivers:
• Rising adoption of AI in drug discovery, diagnostics, and genomics is driving the AI in biotech market
• Growth in biotechnology and pharmaceutical R&D is boosting market expansion
• Technological advancements in machine learning, deep learning, and prediction
Dominating Region:
• North America
Fastest-Growing Region:
• North America
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The titled segments and sub-section of the market are illuminated below:
In-depth analysis of AI in Biotech market segments by Types: Drug Discovery AI, Genomics AI, Diagnostics AI, Lab Automation AI, Predictive Analytics
Detailed analysis of AI in Biotech market segments by Applications: Drug Development, Genomic Research, Personalized Medicine, Clinical Diagnostics, Industrial Biotechnology
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 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 Biotech Market:
Chapter 01 - Executive Summary
Chapter 02 - Market Overview
Chapter 03 - Key Success Factors
Chapter 04 - Global AI in Biotech Market - Pricing Analysis
Chapter 05 - Global AI in Biotech Market Background or History
Chapter 06 - Global AI in Biotech Market Segmentation (e.g. Type, Application, End User)
Chapter 07 - Key and Emerging Countries Analysis Worldwide AI in Biotech Market
Chapter 08 - Global AI in Biotech Market Structure & worth Analysis
Chapter 09 - Global AI in Biotech Market Competitive Analysis & Challenges
Chapter 10 - AI in Biotech Assumptions and Acronyms
Chapter 11 - AI in Biotech Market Research Methodology
Thanks for reading this article; you can also get individual chapter-wise sections or region-wise report versions like North America, LATAM, Europe, Japan, Australia or Southeast Asia.
Contact Us:
Nidhi Bhavsar (PR & Marketing Manager)
HTF Market Intelligence Consulting Private Limited
Phone: +15075562445
sales@htfmarketintelligence.com
About Author:
HTF Market Intelligence Consulting is uniquely positioned to empower and inspire with research and consulting services to empower businesses with growth strategies, by offering services with extraordinary depth and breadth of thought leadership, research, tools, events, and experience that assist in decision-making.
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