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The reinforcement learning market has experienced exponential growth, surging from $8.14 billion in 2023 to $10.49 billion in 2024, with a significant CAGR of 29.0%. Factors like computing power increase and open-source frameworks contributed to this surge. Projections suggest the market will reach $26.64 billion by 2028, reflecting a CAGR of 28.5%. Drivers include algorithmic advances and integration with edge computing. Notable trends include advancements in deep learning and improvements in explainability and interpretability.

The reinforcement learning market is expected to flourish owing to the increasing adoption of industrial automation. Industrial automation integrates reinforcement learning (RL) for optimal control policy learning, contributing to efficient process automation without explicit programming. The UK witnessed a 6% rise in industrial robots in 2021, totaling 23,000 units, with new robot sales increasing by 8% to 2,205 units in 2020, highlighting the significant contribution of industrial automation to the reinforcement learning market’s growth trajectory.

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What Are The Key Trends That Influence Reinforcement Learning Market Share Analysis?

Major companies in the reinforcement learning market are focusing on AI advancements, such as autonomous control AI services, due to the potential applications of reinforcement learning in various industries. Autonomous Control AI Service uses reinforcement learning to achieve complex process control, which was previously manual. For instance, in February 2023, Yokogawa Electric Corporation, a Japan-based software company, launched a reinforcement learning solution for edge controllers. The autonomous control service for OpreX Realtime OS-based Machine Controllers (e-RT3 Plus) uses the Factorial Kernel Dynamic Policy Programming (FKDPP) reinforcement learning AI algorithm. It includes packaged software, consulting services, and training programs, depending on end-user requirements. It is designed for complex process control and is initially targeted at industries such as resources and energy, materials, and electronics. The service offers simplified AI model creation, support for control cycles as short as 0.01 seconds, and the ability to retrofit edge controllers with autonomous control AI.

Which Market Players Are Driving Growth In The Reinforcement Learning Market?

Major companies operating in the reinforcement learning market report are Google LLC, Microsoft Corp., Metadata Platforms Inc., Tencent Holdings Ltd., Amazon Web Services Inc., Intel Corp., International Business Machines Corporation, SAP SE, Nvidia Corp., Hewlett Packard Enterprise LP, ABB Ltd., Salesforce Inc., Cognizant Technology Solutions India Pvt. Ltd., Baidu Inc., Yandex LLC, SAS Institute, Sentient Technologies LLC, Unity Technologies Inc., TIBCO Software Inc., SenseTime Group Ltd., Zoox Inc., Open AI Inc., DeepMind Technologies Limited, Vicarious Surgical Inc., RapidMiner Inc.

How Is The Global Reinforcement Learning Market Segmented?

The reinforcement learning market covered in this report is segmented –

1) By Deployment: On-Premises, Cloud-Based
2) By Enterprise Size: Large, Small And Medium Enterprises
3) By End-user: Healthcare, Banking Financial Services And Insurance (BFSI), Retail, Telecommunication, Government And Defense, Energy And Utilities, Manufacturing

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The Reinforcement Learning Global Market Report 2024 provides an overview of the reinforcement learningmarket for the time series: historic years (2010 – 2021) and ten years forecast (2023 – 2032). The reinforcement learning market forecast analyzes reinforcement learning market size, reinforcement learning market share, leading competitor and their market positions.

The Table Of Content For The Reinforcement Learning Market Include

1. Reinforcement Learning Market Executive Summary
2. Reinforcement Learning Market Segments
3. Reinforcement Learning Market Size And Template Market Growth Rate
4.  Key Reinforcement Learning Market Trends
5. Major Reinforcement Learning Market Drivers
……
25. Key Mergers And Acquisitions In The Reinforcement Learning Market
26. Top Reinforcement Learning Companies
27. Reinforcement Learning Market Opportunities And Strategies
28. Reinforcement Learning Market, Conclusions And Recommendations
29. Appendix

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