This report is designed for companies and decision-makers seeking actionable insights on market size, growth, trends, and competitive strategies to drive expansion and success in the Agentic AI In Scientific Discovery And Research industry.
What is the current market size of the agentic ai in scientific discovery and research industry, and what growth rate is it expected to achieve?
The agentic AI in scientific discovery and research market size has grown exponentially in recent years. It will grow from $0.16 billion in 2024 to $0.26 billion in 2025 at a compound annual growth rate (CAGR) of 57.4%. The growth in the historic period can be attributed to increasing volume of scientific data, rise in multi-modal datasets, growth in compute power, government funding for AI in science, and increasing need to analyze complex multi-omics datasets.
The agentic AI in scientific discovery and research market size is expected to see exponential growth in the next few years. It will grow to $1.57 billion in 2029 at a compound annual growth rate (CAGR) of 57.1%. The growth in the forecast period can be attributed to increasing interdisciplinary collaborations using agentic ai, increasing cross-pollination between computational and experimental sciences, growing demand for ai in pharmaceutical research and drug discovery, increasing use of ai for climate science and sustainability, rising interest in AI for space and astrophysics research. Major trends in the forecast period include progress in large language models, evolution of autonomous multi-agent systems, integration of symbolic and neural reasoning, self-prompting and self-correction capabilities, and advancement in generative AI tools.
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What are the major drivers contributing to the growth of the agentic ai in scientific discovery and research market?
The increasing demand for automation is anticipated to propel the growth of the agentic AI in the scientific discovery and research market going forward. Automation involves utilizing technology to carry out tasks or processes with little to no human involvement. Automation is rising because it significantly enhances efficiency, enabling businesses to complete repetitive tasks more quickly and accurately, thereby minimizing human error and lowering operational costs. Agentic AI accelerates scientific discovery and research in automation by autonomously generating hypotheses, designing experiments, and optimizing processes with minimal human intervention. For instance, in September 2023, according to the International Federation of Robotics, a Germany-based non-profit organization, a total of 553,052 industrial robots were deployed in factories worldwide in 2022, marking a 5% increase compared to the previous year. Regionally, 73% of these new robot installations took place in Asia, 15% in Europe, and 10% in the Americas. Therefore, the increasing demand for automation will boost the growth of the agentic AI in the scientific discovery and research market.
What are the major market segments driving the growth of the agentic ai in scientific discovery and research industry?
The agentic ai in scientific discovery and research market covered in this report is segmented –
1) By Component: Software, Services
2) By Deployment Mode: On-Premises, Cloud-Based
3) By Industry Type: Healthcare And Pharmaceuticals, Information Technology And Telecom, Manufacturing, Other Industries
Subsegments:
1) By Software: Research And Development Software, Data Analytics Software, Machine Learning Platforms, Natural Language Processing (NLP) Software, Predictive Analytics Software
2) By Services: Consulting Services, Integration Services, Managed Services, Training And Support Services
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What are the key trends shaping the agentic ai in scientific discovery and research market in the forecast period?
Major companies operating in the agentic AI in scientific discovery and research market are focusing on developing technologically advanced solutions, such as multi-agent systems, to enhance robustness and fault tolerance. A multi-agent system (MAS) is a network of autonomous agents that interact and collaborate to achieve common or individual goals, often used to solve complex problems through coordination and communication. For instance, in February 2025, Google LLC, a US-based IT corporation, launched an Agentic AI Co-Scientist. Built on Google’s Gemini 2.0 model, this Agentic AI Co-Scientist is capable of generating novel hypotheses, designing experiments, and replicating complex scientific findings in a fraction of the time it takes human researchers. Its unique strength lies in its ability to scale test-time compute, dedicating significant computational resources during inference for deeper reasoning. The system follows a generate, debate, and evolve approach, where hypotheses are tested in simulated debates and refined through iterative feedback. This self-improving cycle enhances the quality and accuracy of research hypotheses over time.
Who are the key market players contributing to the growth of the agentic ai in scientific discovery and research industry?
Major companies operating in the agentic ai in scientific discovery and research market are Microsoft Corporation, Amazon Web Services Inc., Intel Corporation, IBM Corporation, NVIDIA Corporation, OpenAI LLC, DeepMind Technologies Limited, UiPath Inc., DataRobot Inc., Insilico Medicine Inc., Recursion Pharmaceuticals Inc., Cohere Inc., Causaly Ltd, Nimbus Therapeutics LLC, PostEra Inc., Beam AI Inc., Auransa Inc., Extensity AI Inc., Inquisite Innovations Private Limited, Valence Labs Private Limited.
Which regions are leading the growth of the agentic ai in scientific discovery and research market globally?
North America was the largest region in the agentic AI in scientific discovery and research market in 2024. The regions covered in the agentic ai in scientific discovery and research market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
How Can Companies Use The Agentic AI In Scientific Discovery And Research Market Report to Drive Business Results?
This report provides actionable insights tailored for business use—not academic analysis. Companies can leverage the data to:
• Time market entry or expansion using growth forecasts and CAGR trends.
• Develop competitive products by tracking key technology shifts and user preferences.
• Tailor regional strategies with in-depth geographic data and local market dynamics.
• Benchmark and plan partnerships using competitive landscape insights.
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