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Agentic AI In Scientific Discovery And Research Market Revenue Growth On Track For A 56.5% CAGR Through 2030
The agentic AI in scientific discovery and research market size has witnessed substantial expansion in recent years. It is projected to increase from $0.26 billion in 2025 to $0.4 billion in 2026, at a compound annual growth rate (CAGR) of 57.0%. The growth observed in the preceding period can be attributed to the early adoption of data analytics in research, the proliferation of machine learning platforms, the expansion of digital research databases, the rising complexity of research, and the need for accelerated discovery cycles.
The market for agentic AI in scientific discovery and research is projected to experience substantial growth in the coming years. This sector is forecast to reach $2.4 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 56.5%. The expansion during this projection period is attributed to several factors, including the evolution of agentic AI models, the increasing prevalence of autonomous laboratories, rising investments in AI research tools, the demand for expedited innovation, and the integration of AI within scientific infrastructure. Key trends anticipated during the forecast period involve autonomous execution of research workflows, AI-driven hypothesis formulation, independent experimental design, the emergence of continuous learning research agents, and scientific reasoning that spans multiple domains.
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Agentic AI In Scientific Discovery And Research Market Development Factors: What’s Supporting Demand?
The rising need for automation is expected to drive the expansion of agentic AI within the scientific discovery and research market in the future. Automation entails employing technology to execute tasks or processes requiring minimal or no human intervention. The growth of automation stems from its substantial improvements in efficiency, allowing organizations to perform routine tasks faster and with greater precision, consequently reducing human errors and cutting down operational expenditures. Within automation, agentic AI accelerates scientific discovery and research by independently formulating hypotheses, devising experiments, and streamlining processes with very little human input. For example, in September 2024, the International Federation of Robotics (IFR), a Germany-based non-profit body, reported in its World Robotics report that 4,281,585 robots were operational worldwide, marking a 10% increase, with yearly installations surpassing half a million units for the third consecutive year. During 2023, new robot deployments saw 70% in Asia, 17% in Europe, and 10% in the Americas. Consequently, the escalating demand for automation is set to enhance the expansion of agentic AI in the scientific discovery and research market.
Agentic AI In Scientific Discovery And Research Market Segment Analysis Spotlighting Growth Areas
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
Agentic AI In Scientific Discovery And Research Market Transformation Trends: What Innovations Are Driving Change?
Major companies operating in the agentic AI in scientific discovery and research market are concentrating on developing technologically advanced solutions, such as multi-agent systems, to improve robustness and fault tolerance. A multi-agent system (MAS) consists of autonomous agents that interact and collaborate to achieve common or individual goals, frequently utilized to solve complex problems through coordination and communication. For instance, in February 2025, Google LLC, a US-based IT corporation, introduced an Agentic AI Co-Scientist. Built upon Google’s Gemini 2.0 model, this Agentic AI Co-Scientist is proficient at generating novel hypotheses, designing experiments, and replicating complex scientific findings in a fraction of the time human researchers require. Its distinct advantage lies in its capability to scale test-time compute, allocating significant computational resources during inference for deeper reasoning. The system employs a generate, debate, and evolve methodology, wherein hypotheses are tested in simulated discussions and refined through iterative feedback. This self-improving cycle progressively enhances the quality and accuracy of research hypotheses.
Agentic AI In Scientific Discovery And Research Market Leading Companies: Who Holds The Strongest Market Presence?
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.
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Agentic AI In Scientific Discovery And Research Market Geographic Landscape: Which Region Leads Industry Growth?
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.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
