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.
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.
Further, for the in-depth analysis, the report encompasses the industry growth indicators, restraints, supply and demand risk, along with detailed discussion on current and future market trends that are associated with the growth of the market.
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&D 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.
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Increasing Adoption of AI and ML Techniques to Drive Market Growth
As 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. This is considered to be one of the most crucial factors anticipated to drive market growth in the upcoming years.
However, absence of skilled professionals working on reinforcement learning is expected to operate as key restraint to the growth of the reinforcement learning market over the forecast period.
This report also provides the existing competitive scenario of some of the key players of the global reinforcement learning market which includes company profiling of Microsoft Corporation, SAP SE, IBM Corporation, Amazon Web Services Inc., SAS Institute Inc., Baidu, Inc., RapidMiner, Inc., TIBCO Software Inc., Intel Corporation, Hewlett Packard Enterprise Development LP, and others. The profiling enfolds key information of the companies which encompasses business overview, products and services, key financials and recent news and developments. On the whole, the report depicts detailed overview of the global reinforcement learning market that will help industry consultants, equipment manufacturers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market centric strategies according to the ongoing and expected trends in the future.
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About Research Nester
Research Nester is a leading service provider for strategic market research and consulting. We aim to provide unbiased, unparalleled market insights and industry analysis to help industries, conglomerates and executives to take wise decisions for their future marketing strategy, expansion and investment etc. We believe every business can expand to its new horizon, provided a right guidance at a right time is available through strategic minds. Our out of box thinking helps our clients to take wise decision in order to avoid future uncertainties.
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