The Reinforcement Learning Global Market Report 2024 by The Business Research Company provides market overview across 60+ geographies in the seven regions - Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).
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According to The Business Research Company’s Reinforcement Learning Global Market Report 2024, The reinforcement learning market size is expected to see exponential growth in the next few years. It will grow to $26.64 billion in 2028 at a compound annual growth rate (CAGR) of 28.5%. The growth in the forecast period can be attributed to continued algorithmic advances, growing demand for autonomous systems, integration with edge computing, expansion of reinforcement learning in healthcare, focus on explain ability and interpretability. Major trends in the forecast period include advancements in deep learning, transfer learning dominance, hybrid learning architectures, edge reinforcement learning, and explain ability and interpretability improvements.
The increase in industrial automation is expected to propel the growth of the reinforcement learning market going forward. Industrial automation refers to the use of advanced technologies, control systems, and machinery to automate industrial processes and operations. Reinforcement learning (RL) is increasingly being used in industrial automation due to its ability to learn optimal control policies from interaction with the environment without the need for explicit programming. For instance, in February 2022, according to the International Federation of Robotics, a Germany-based non-profit organization, there will be 23,000 industrial robots operating in UK factories in 2021, an increase of 6% from the previous year. Further, sales of new robots were up by 8% to 2,205 units in 2020. Therefore, the increase in industrial automation is driving the growth of the reinforcement learning market.
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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
Major companies operating in the reinforcement learning market are focusing on developments in AI advancements such as autonomous control AI services due to the potential applications of reinforcement learning in various industries. Autonomous Control AI Service refers to a new technology that achieves complex process control, which was previously manual, using reinforcement learning. 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/or training programs, depending on end-user requirements. It is designed to achieve complex process control and is initially targeted at industries such as resources and energy, materials, and electronics. The service offers features such as simplified AI model creation, support for control cycles as short as 0.01 seconds, and the ability to retrofit edge controllers with the autonomous control AI.
The reinforcement learning market report table of contents includes:
- Executive Summary
- Reinforcement Learning Market Characteristics
- Reinforcement Learning Market Trends And Strategies
- Reinforcement Learning Market - Macro Economic Scenario
- Global Reinforcement Learning Market Size and Growth
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- Global Reinforcement Learning Market Competitive Benchmarking
- Global Reinforcement Learning Market Competitive Dashboard
- Key Mergers And Acquisitions In Reinforcement Learning Market
- Reinforcement Learning Market Future Outlook and Potential Analysis
- Appendix
Top Major Players :
- Google LLC
- Microsoft Corp
- Metadata Platforms Inc.
- Tencent Holdings Ltd.
- Amazon Web Services Inc.
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Research Nester published a report titled “Reinforcement Learning Market: Global Demand Analysis & Opportunity Outlook 2030” which delivers detailed overview of the global reinforcement learning market in terms of market segmentation by end user, deployment, enterprise size, and by region.The reinforcement learning market is estimated to occupy a large revenue by growing at a CAGR of ~44% during the forecast period, i.e., 2022 – 2030, owing to the escalating adoption of AI and machine learning systems, rising number of application areas of reinforcement learning, and growing implementation of ML based solutions in companies across the world.
Apart from these, increasing demand to find best method to achieve a set of objectives among organizations is also expected to drive market growth.The global reinforcement learning market is segmented by end user, deployment and enterprise size.
Based on end user, the BFSI segment is anticipated to grab the largest market share during the forecast period on the back of increasing amount of data generated in this industry.
Additionally, on the basis of deployment, the cloud segment is projected to gather the largest share over the forecast period ascribing to the exceptional advantages offered by cloud to organizations such as flexibility and improved disaster recovery.Geographically, the market is segmented into five major regions, namely North America, Europe, Latin America, Asia Pacific, and the Middle East & Africa.
North America region is evaluated to grab the largest share in the market during the forecast period attributing to the increasing number of R activities in reinforcement learning and presence of major market players.
Moreover, the market in Asia Pacific is assessed to grow by the highest rate in the future owing to the growing awareness about business productivity and rising AI adoption in the region.Get Access for Sample Copy Of This Strategic Report: https://www.researchnester.com/sample-request-3223Increasing Adoption of AI and ML Techniques to Drive Market GrowthAs the amount of data in the world continues to grow, businesses are emphasizing more on the incorporation of artificial intelligence and machine learning methods to reduce costs and extract more value from their data.
As a feedback-driven and agent-based learning technology stack that is suitable for dynamic environments, reinforcement learning methodologies leverage self-learning capabilities and multi-agent potential to address issues that are unaddressed by other AI techniques.
In contrast, other machine learning, AI techniques like supervised learning and unsupervised learning are limited to handling one task at a given time.With the advent of Artificial General Intelligence (AGI), reinforcement learning becomes important in addressing other challenges like multi-tasking of intelligent applications across different ecosystems.
The technology appears set to drive the adoption of AGI technologies, with companies futureproofing their AGI roadmaps by leveraging reinforcement learning techniques.This report provides an analysis of the startups focused on reinforcement learning techniques across industries.Startup EcosystemWe describe the importance of agent-based learning methods and the core concepts related to reinforcement learning.
The section includes a comparison of machine learning techniques, and an overview of topics like imitation learning, AGI, and model-based and model-free reinforcement learning algorithms.
Further, we outline how reinforcement learning techniques can help address the current challenges of various industries in developing next-generation solutions.The report includes an analysis of startups leveraging reinforcement learning algorithms in key sectors like automotive, retail, industrial, financial services, robotics, healthcare, IoT, food industry, and several others.
We cover 39 startups, out of which some prominent startups like Osaro, Kindred, Micropsi Industries, Wayve, Cerebri AI, and OpenAI have been reported in detail.Request a Free Sample Copy of Reinforcement Learning Market Report @ https://www.radiantinsights.com/research/reinforcement-learning-startup-ecosystem-analysis/request-sampleAnalysis of these startups has been undertaken basis their technologies, offerings, patenting activities, and future outlooks.
