PUBLISHER: The Business Research Company | PRODUCT CODE: 1978043
PUBLISHER: The Business Research Company | PRODUCT CODE: 1978043
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.
Tariffs have affected the agentic AI in scientific discovery market by increasing costs of high performance computing systems, data storage hardware, and specialized AI accelerators. Research institutions and enterprises deploying autonomous AI platforms face higher infrastructure expenditures. North America, Europe, and Asia Pacific are most impacted due to global sourcing of advanced computing hardware. These tariffs may slow adoption in budget constrained research environments. However, tariffs are encouraging regional development of AI computing infrastructure. This is strengthening domestic research capabilities and long term innovation capacity.
The agentic AI in scientific discovery and research market research report is one of a series of new reports from The Business Research Company 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 size has grown exponentially in recent years. It will grow from $0.26 billion in 2025 to $0.4 billion in 2026 at a compound annual growth rate (CAGR) of 57.0%. The growth in the historic period can be attributed to early adoption of data analytics in research, growth of machine learning platforms, expansion of digital research databases, increasing research complexity, demand for faster discovery cycles.
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 $2.4 billion in 2030 at a compound annual growth rate (CAGR) of 56.5%. The growth in the forecast period can be attributed to advancement of agentic AI models, growth of autonomous laboratories, rising investment in AI research tools, demand for accelerated innovation, integration of AI with scientific infrastructure. Major trends in the forecast period include autonomous research workflow execution, AI driven hypothesis generation, self directed experimental design, continuous learning research agents, cross domain scientific reasoning.
The rising demand for automation is expected to drive the growth of agentic AI in the scientific discovery and research market in the coming years. Automation refers to the use of technology to perform tasks or processes with minimal human involvement. The demand for automation is increasing because it greatly enhances efficiency, allowing organizations to complete repetitive tasks faster and more accurately, reducing human error and lowering operational costs. Agentic AI accelerates scientific discovery and research by autonomously generating hypotheses, designing experiments, and optimizing processes with minimal human intervention. For example, in September 2024, the International Federation of Robotics (IFR), a Germany-based non-profit organization, reported in its World Robotics report that 4,281,585 robots were operating worldwide-a 10% increase-with annual installations surpassing half a million units for the third consecutive year. In 2023, 70% of new robots were deployed in Asia, 17% in Europe, and 10% in the Americas. Therefore, the increasing demand for automation is contributing to the growth of agentic AI in the scientific discovery and research market.
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 2.0 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 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.
North America was the largest region in the agentic AI in scientific discovery and research market in 2025. The regions covered in the agentic AI in scientific discovery and research market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the agentic AI in scientific discovery and research market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
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.
Agentic AI In Scientific Discovery And Research Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses agentic AI in scientific discovery and research market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for agentic AI in scientific discovery and research ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The agentic AI in scientific discovery and research market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
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