PUBLISHER: MarketsandMarkets | PRODUCT CODE: 1880368
PUBLISHER: MarketsandMarkets | PRODUCT CODE: 1880368
The global AI in biotechnology market is projected to reach USD 22,716.5 million by 2035 from USD 4,156.9 million in 2025, at a high CAGR of 18.5% during the forecast period. The market is progressing steadily, driven by the growing adoption of AI for predictive analytics in drug safety and efficacy, the increasing use of AI-powered automation in laboratory processes, and the rising demand for cost-efficient and accelerated research pipelines.
| Scope of the Report | |
|---|---|
| Years Considered for the Study | 2024-2035 |
| Base Year | 2024 |
| Forecast Period | 2025-2035 |
| Units Considered | Value (USD million) |
| Segments | Offering, Function, Deployment Mode, End User, and Region |
| Regions covered | North America, Europe, Asia Pacific, Middle East & Africa, Latin America |
Moreover, the expanding availability of large-scale biological datasets, advancements in cloud computing infrastructure, and supportive government initiatives promoting AI in life sciences further propel market growth. The convergence of AI with emerging biotechnologies is enabling faster innovation, improved decision-making, and more personalized healthcare solutions.

"The research & development segment of the AI in biotechnology market is the largest segment during the forecast period."
Based on function, the research & development (R&D) segment accounted for the largest share of the AI in biotechnology market and is projected to maintain its lead in the coming years. This dominance is driven by the increasing use of AI to accelerate drug discovery, optimize molecular design, and predict compound efficacy and safety. AI-powered tools enable researchers to analyze large-scale genomic, proteomic, and clinical datasets more efficiently, reducing experimental timelines and costs. Additionally, the integration of machine learning algorithms with high-throughput screening and automated laboratory platforms is enhancing the precision and scalability of R&D processes. As biotech companies strive to bring novel therapeutics to market faster, the adoption of AI in R&D continues to be a key growth driver.
"Based on the end user, the pharmaceutical companies segment accounted for the largest share of AI in biotechnology market during the forecast period."
The pharmaceutical companies segment accounted for the largest share of the AI in biotechnology market during the forecast period. This growth is driven by the increasing adoption of AI for accelerating drug discovery, optimizing clinical trial design, and predicting drug efficacy and safety profiles. Pharmaceutical firms are leveraging AI to analyze large-scale biological and clinical datasets, identify novel drug targets, and streamline R&D workflows, reducing time and cost. Additionally, AI-enabled predictive modeling and virtual screening tools help companies make data-driven decisions, enhance success rates, and bring new therapies to market more efficiently. The rising demand for personalized medicine and the pressure to innovate rapidly further reinforce the adoption of AI within the pharmaceutical sector.
"Asia Pacific is projected to witness the highest growth rate during the forecast period."
The Asia Pacific region is projected to witness the highest growth rate in the AI in biotechnology market during the forecast period. This rapid expansion is driven by a strong focus on technological advancement and research excellence. Countries across the region are strengthening their innovation ecosystems through enhanced infrastructure, academic-industry partnerships, and cross-border collaborations. The growing emphasis on precision medicine, data-driven healthcare, and sustainable biomanufacturing is also creating new opportunities for market development. Moreover, supportive regulatory frameworks and increasing public-private initiatives position Asia Pacific as a global hub for next-generation biotechnological progress.
Key Players in the AI in Biotechnology Market
The key players operating in the AI in biotechnology market include NVIDIA (US), Illumina, Inc. (US), Recursion (US), Schrodinger, Inc. (US), BenevolentAI (UK), Data4Cure, Inc. (US), Qiagen (Germany), Insilico Medicine (US), DNAnexus, Inc. (US), Tempus (US), SOPHiA GENETIC (Switzerland), Predictive Oncology (US), Deep Genomics (Canada), NuMedii, Inc. (US), XtalPi Inc. (China), Iktos (France), BPGbio, Inc. (US), Eurofins Discovery (US), VeriSIM Life (US), Lifebit (UK), Verge Genomics (US), Logica (US), American Chemical Society (US), and Aganitha AI Inc. (India).
Research Coverage
The report analyzes the AI in biotechnology market and aims to estimate the market size and future growth potential of various market segments, based on offering, function, deployment mode, end user, and region. The report also provides a competitive analysis of the key players operating in this market, along with their company profiles, product offerings, recent developments, and key market strategies.
Reasons to Buy the Report
This report will benefit established firms as well as new entrants and smaller firms in gauging the market pulse, which in turn will help them capture a greater share of the market. Firms purchasing the report could use one or a combination of the below-mentioned strategies to strengthen their positions in the market.