Agentic AI in scientific research market to reach $2.4B by 2030

The agentic AI in scientific discovery and research market is experiencing significant growth, with projections showing an increase from $0.26 billion in 2025 to $0.4 billion in 2026, at a CAGR of 57%, according to Research and Markets.

Automation is a key factor propelling this growth. AI significantly enhances scientific discovery by autonomously generating hypotheses, designing experiments, and optimizing processes with minimal human oversight. The International Federation of Robotics reported a 10% increase in global robot operations by 2024, indicating a parallel surge in automation demand. In particular, Asia accounted for 70% of new robot deployments, followed by Europe and the Americas. This trend underscores the widespread influence of automation in boosting the agentic AI market.

Leading companies in this sector are focusing on creating advanced solutions, such as multi-agent systems to improve robustness and fault tolerance. Google LLC, for instance, unveiled an Agentic AI Co-Scientist in February 2025, leveraging the Gemini 2 model, which is capable of generating novel hypotheses and refining them through iterative feedback. This highlights a broader strategic shift towards AI-driven hypothesis generation and self-directed experimental design.

In February 2025, DataRobot Inc. acquired Agnostiq Inc. with the aim to integrate its open-source Covalent platform, streamlining compute orchestration across multi-cloud and hybrid environments, and thus reducing operational complexities. Such strategic moves are pivotal in accelerating the adoption of agentic AI in scientific research.

Significant players in this market include Microsoft Corporation, Amazon Web Services Inc., Intel Corporation, IBM Corporation, NVIDIA Corporation, OpenAI LLC, DeepMind Technologies Limited, UiPath Inc., and DataRobot Inc., among others. In 2025, North America emerged as the largest regional market, with comprehensive coverage spanning Asia-Pacific, Europe, and other global regions.

Meanwhile, tariffs have impacted the acquisition of necessary high-performance computing systems and AI accelerators, especially affecting North America, Europe, and Asia Pacific. Despite these challenges, tariffs have also spurred regional AI infrastructure development, potentially bolstering domestic research capabilities in the long term.

This market research report is part of a new series that provides detailed insights including market sizes, regional shares, competitor analysis, and market trends essential for thriving in the agentic AI industry. The report delivers an in-depth analysis of the current and anticipated industry landscape, offering critical data and trends shaping the future of agentic AI in scientific discovery and research.

The “Agentic AI in Scientific Discovery and Research Market Global Report 2026” offers invaluable insights for strategists, marketers, and senior management, providing essential information to evaluate this rapidly growing market. It highlights trends that will shape the landscape over the next decade. Research and Markets