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Agentic AI In Scientific Discovery And Research Global Market Report 2025
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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 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 $0.16 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 2.0 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 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.

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 Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on 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.

Reasons to Purchase

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? 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, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Agentic AI In Scientific Discovery And Research Market Characteristics

3. Agentic AI In Scientific Discovery And Research Market Trends And Strategies

4. Agentic AI In Scientific Discovery And Research Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Agentic AI In Scientific Discovery And Research Growth Analysis And Strategic Analysis Framework

6. Agentic AI In Scientific Discovery And Research Market Segmentation

7. Agentic AI In Scientific Discovery And Research Market Regional And Country Analysis

8. Asia-Pacific Agentic AI In Scientific Discovery And Research Market

9. China Agentic AI In Scientific Discovery And Research Market

10. India Agentic AI In Scientific Discovery And Research Market

11. Japan Agentic AI In Scientific Discovery And Research Market

12. Australia Agentic AI In Scientific Discovery And Research Market

13. Indonesia Agentic AI In Scientific Discovery And Research Market

14. South Korea Agentic AI In Scientific Discovery And Research Market

15. Western Europe Agentic AI In Scientific Discovery And Research Market

16. UK Agentic AI In Scientific Discovery And Research Market

17. Germany Agentic AI In Scientific Discovery And Research Market

18. France Agentic AI In Scientific Discovery And Research Market

19. Italy Agentic AI In Scientific Discovery And Research Market

20. Spain Agentic AI In Scientific Discovery And Research Market

21. Eastern Europe Agentic AI In Scientific Discovery And Research Market

22. Russia Agentic AI In Scientific Discovery And Research Market

23. North America Agentic AI In Scientific Discovery And Research Market

24. USA Agentic AI In Scientific Discovery And Research Market

25. Canada Agentic AI In Scientific Discovery And Research Market

26. South America Agentic AI In Scientific Discovery And Research Market

27. Brazil Agentic AI In Scientific Discovery And Research Market

28. Middle East Agentic AI In Scientific Discovery And Research Market

29. Africa Agentic AI In Scientific Discovery And Research Market

30. Agentic AI In Scientific Discovery And Research Market Competitive Landscape And Company Profiles

31. Agentic AI In Scientific Discovery And Research Market Other Major And Innovative Companies

32. Global Agentic AI In Scientific Discovery And Research Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Agentic AI In Scientific Discovery And Research Market

34. Recent Developments In The Agentic AI In Scientific Discovery And Research Market

35. Agentic AI In Scientific Discovery And Research Market High Potential Countries, Segments and Strategies

36. Appendix

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