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Rising Automation Driving The Growth Of The Market Due To Increasing Efficiency And Data Processing Capabilities: Transformative Forces Shaping the Agentic AI In Scientific Discovery And Research Market Landscape in 2025
Agentic AI In Scientific Discovery And Research
What Is the Expected CAGR for the Agentic AI In Scientific Discovery And Research Market Through 2025?
The market size of agentic AI in scientific discovery and research has significantly escalated in the past few years. The market is projected to swell from $0.16 billion in 2024 to $0.26 billion in 2025, representing a compound annual growth rate (CAGR) of 56.5%. The historic rise can be linked to several key factors such as the boost in the volume of scientific data, surge in multi-modal datasets, increased compute power, governmental financial support for AI in science, and the growing necessity to analyze intricate multi-omics datasets.
What's the Projected Size of the Global Agentic AI In Scientific Discovery And Research Market by 2029?
Expectations are high for an exponential surge in the market size of agentic AI in scientific discovery and research in the coming years. The estimated worth of this market in 2029 is projected at $1.54 billion, showing a compound annual growth rate (CAGR) of 56.7%. This growth during the forecast period can be credited to factors such as a rise in interdisciplinary collaborations relying on agentic AI, a surge in cross-fertilization between experimental and computational sciences, an escalating demand for AI in pharmaceutical research and drug discovery, an increased adoption of AI for sustainability and climate science, as well as growing interest in leveraging AI in space and astrophysics research. The primary trends anticipated during this forecast period comprise advancements in large language models, transformation of independent multi-agent systems, the amalgamation of symbolic and neural reasoning, capabilities of self-prompting and self-correction, as well as progression in generative AI tools.
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Top Growth Drivers in the Agentic AI In Scientific Discovery And Research Industry: What's Accelerating the Market?
A surge in automation requirements is expected to fuel the expansion of the agentic AI in the scientific discovery and research market. Automation is the employment of technology for performing tasks or processes with minimal to zero human input. The popularity of automation is growing due to its ability to significantly improve efficiency, allowing businesses to rapidly and accurately perform repetitive tasks, thereby reducing human error and cutting operational costs. Agentic AI, with minimal human intervention, fosters scientific discovery and research in automation by autonomously creating hypotheses, planning experiments, and refining processes. For example, in September 2023, the International Federation of Robotics, a nonprofit organization based in Germany, reported that a total of 553,052 industrial robots were installed in worldwide factories in 2022, indicating a 5% rise compared to the preceding year. Regionally, Asia saw 73% of these new robot installations, Europe accounted for 15%, and the Americas for 10%. Consequently, the growing demand for automation is set to propel the agentic AI in the scientific discovery and research market.
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What Trends Will Shape the Agentic AI In Scientific Discovery And Research Market Through 2029 and Beyond?
Key companies engaged in the agentic AI for scientific discovery and research market are concentrating on creating advanced technological solutions like multi-agent systems to improve strength and fault tolerance characteristics. A multi-agent system (MAS) comprises a grid of self-governing agents that cooperate and interact to meet collective or personal targets, frequently employed to address intricate challenges via coordination and conversation. For example, in February 2025, Google LLC, an IT firm from the US, introduced an Agentic AI Co-Scientist. Constructed on Google's Gemini 2.0 platform, this Agentic AI Co-Scientist is adept at creating new theories, planning experiments, and re-producing elaborate scientific results in much less time than human scientists require. A key feature of the technology lies in its capacity to scale compute at test-time, assigning substantial computational resources during inference for profound reasoning. The system operates on a generate, argue, and evolve principle, where theories are examined in simulated debates and fine-tuned through cyclic feedback. This cycle of self-enhancement improves the caliber and precision of research theories over time.
What Are the Main Segments in the Agentic AI In Scientific Discovery And Research Market?
The agentic ai in scientific discovery and researchmarket 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
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Which Top Companies are Driving Growth in the Agentic AI In Scientific Discovery And Research Market?
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.
Which Regions Will Dominate the Agentic AI In Scientific Discovery And Research Market Through 2029?
North America was the largest region in the agentic AI in scientific discovery and research market in 2024. The regions covered in the agentic ai in scientific discovery and research market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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