Agentic AI In Scientific Discovery And Research Global Market Report 2025

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 during the historical period can be credited to the increasing volume of scientific data, the rise in multi-modal datasets, advancements in computing power, government investment in AI for science, and the growing demand 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 during the forecast period can be attributed to expanding interdisciplinary collaborations leveraging agentic AI, increasing cross-pollination between computational and experimental sciences, a growing demand for AI in pharmaceutical research and drug discovery, greater use of AI in climate science and sustainability, and heightened interest in AI for space and astrophysics research. Key trends in the forecast period include advancements in large language models, the evolution of autonomous multi-agent systems, the integration of symbolic and neural reasoning, enhanced self-prompting and self-correction capabilities, and progress in generative AI tools.

The growing demand for automation is expected to drive the expansion of the agentic AI market in scientific discovery and research. Automation involves the use of technology to perform tasks or processes with minimal human involvement. Its rise is attributed to its significant impact on efficiency, allowing businesses to complete repetitive tasks faster and more accurately, reducing human error, and lowering operational costs. Agentic AI further accelerates scientific discovery by autonomously generating hypotheses, designing experiments, and optimizing processes with minimal human intervention. For example, in September 2023, the International Federation of Robotics, a Germany-based non-profit, reported that 553,052 industrial robots were deployed in factories worldwide in 2022, reflecting a 5% increase from the previous year. Of these, 73% of new robot installations occurred in Asia, 15% in Europe, and 10% in the Americas. As a result, the increasing demand for automation is expected to significantly boost the growth of agentic AI in scientific discovery and research.

Leading companies in the agentic AI in scientific discovery and research market are focusing on creating advanced solutions, such as multi-agent systems (MAS), to improve robustness and fault tolerance. A multi-agent system consists of a network of autonomous agents that interact and collaborate to achieve shared or individual objectives, often used to address complex problems through coordination and communication. For example, in February 2025, Google LLC, a US-based IT company, introduced an Agentic AI Co-Scientist. Built on Google’s Gemini 2 model, this system can generate novel hypotheses, design experiments, and replicate complex scientific findings much faster than human researchers. Its unique strength lies in its ability to scale computational resources during inference, enabling deeper reasoning. The system employs a generate, debate, and evolve approach, where hypotheses are tested in simulated debates and refined through iterative feedback, leading to continuous improvement in the quality and accuracy of research hypotheses.

In February 2025, DataRobot Inc., a US-based software company, acquired Agnostiq Inc. for an undisclosed sum. This acquisition aims to accelerate the adoption of agentic AI by integrating Agnostiq’s open-source Covalent platform. The integration is intended to streamline compute orchestration across multi-cloud and hybrid environments, reducing costs and minimizing operational complexity. Agnostiq Inc., based in Canada, specializes in agentic AI for scientific discovery and research.

Major players 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, and Valence Labs Private Limited.

North America was the largest region in the agentic AI in scientific discovery and research market in 2024. The regions covered in agentic AI in scientific discovery and research report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the agentic AI in scientific discovery and research market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Agentic artificial intelligence (AI) in scientific discovery and research refers to AI systems that can autonomously initiate, plan, and perform complex tasks typically involved in scientific processes. These systems exhibit goal-driven behavior, adapt to new data, and make informed decisions with minimal to no human intervention.

Key components of agentic AI in scientific discovery and research include software and services. Software encompasses the agentic AI platforms, frameworks, or tools that researchers utilize to design, implement, or oversee AI agents within scientific workflows. This software can be deployed both on-premises and in the cloud, serving a variety of industries, including healthcare, pharmaceuticals, information technology, telecom, manufacturing, and more.

The agentic AI in scientific discovery and research market research report is one of a series of new reports that provides agentic AI in scientific discovery and research market statistics, including agentic AI in scientific discovery and research industry global market size, regional shares, competitors with a agentic AI in scientific discovery and research market share, detailed agentic AI in scientific discovery and research market segments, market trends and opportunities, and any further data you may need to thrive in the agentic AI in scientific discovery and research industry. This agentic AI in scientific discovery and research market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The agentic AI in scientific discovery and research market consists of revenues earned by entities by providing services such as autonomous hypothesis generation, automated experimental design, data collection and analysis, simulation and modeling. The market value includes the value of related goods sold by the service provider or included within the service offering. The agentic AI in scientific discovery and research market also includes sales of autonomous laboratory systems, scientific discovery agents, knowledge mining, and insight engines. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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