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市場調查報告書
商品編碼
1458731

2024 年強化學習全球市場報告

Reinforcement Learning Global Market Report 2024

出版日期: 按訂單生產 | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10個工作天內

價格
簡介目錄

強化學習市場規模預計在未來幾年將呈指數級成長。 2028年將以28.5%的年複合成長率(CAGR)成長至266.4億美元。預期的成長因素包括演算法的持續進步、對自主系統不斷成長的需求、與邊緣運算的整合、醫療保健領域強化學習的擴展以及對可解釋性和可解釋性的重視。預測期內的主要趨勢包括深度學習的進步、遷移學習的主導地位、混合學習架構的出現、強化學習在邊緣的應用以及可解釋性和可解釋性的增強。

工業自動化的日益普及預計將推動強化學習市場的成長。工業自動化涉及使用先進技術、控制系統和機械來實現工業流程和操作的自動化。強化學習 (RL) 在工業自動化中越來越普及,因為它能夠透過與環境的互動來學習最佳控制策略,而無需明確程式設計。例如,根據國際機器人聯合會的報告,2021年英國工廠運作的工業機器人數量為2.3萬台,與前一年同期比較增加6%,2020年新增機器人銷售量成長8%是 2,205 單位。工業自動化的興起是支持強化學習市場成長的關鍵因素。

由於強化學習在各行業的潛在應用,強化學習市場的主要企業正在關注人工智慧的進步,尤其是自主人工智慧服務。自主控制AI服務是指利用強化學習來實現先前由人工執行的複雜過程控制的新技術​​。例如,橫河馬達於 2023 年 2 月開始為邊緣控制器提供強化學習解決方案。 OpreX 是基於即時作業系統的機器控制器 (e-RT3 Plus) 的自主控制服務,利用人工智慧演算法「FKDPP(因子核心動態策略程式設計)」的強化學習。包括根據最終用戶要求客製化的套裝軟體、諮詢服務和培訓計畫。最初針對資源能源、材料、電子等產業,它將提供簡化的AI模型創建、支援短至0.01秒的控制週期,以及透過自主控制AI改造邊緣控制器的能力。

目錄

第1章執行摘要

第2章 市場特點

第3章 市場趨勢與策略

第4章宏觀經濟情景

  • 高通膨對市場的影響
  • 烏克蘭與俄羅斯戰爭對市場的影響
  • COVID-19感染疾病對市場的影響

第5章世界市場規模與成長

  • 全球市場促進因素與限制因素
    • 市場促進因素
    • 市場限制因素
  • 2018-2023 年全球市場規模表現與成長
  • 全球市場規模預測與成長,2023-2028、2033

第6章市場區隔

  • 全球強化學習市場,依部署、實際及預測細分,2018-2023、2023-2028、2033
  • 本地
  • 雲端基礎
  • 全球強化學習市場,依公司規模細分、實際及預測,2018-2023、2023-2028、2033
  • 主要企業
  • 中小企業
  • 全球強化學習市場,依最終使用者細分,實際與預測,2018-2023、2023-2028、2033
  • 衛生保健
  • 銀行金融服務和保險 (BFSI)
  • 零售
  • 通訊
  • 政府和國防
  • 能源和公共
  • 製造業

第 7 章 區域與國家分析

  • 全球強化學習市場,按地區、實際和預測,2018-2023、2023-2028、2033
  • 全球強化學習市場,依國家、實際與預測,2018-2023、2023-2028、2033

第8章亞太市場

第9章 中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章 義大利市場

第20章 西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章加拿大市場

第26章 南美洲市場

第27章 巴西市場

第28章 中東市場

第29章 非洲市場

第30章 競爭格局及公司概況

  • 強化學習市場競爭格局
  • 強化學習市場公司概況
    • Google LLC
    • Microsoft Corp.
    • Metadata Platforms Inc.
    • Tencent Holdings Ltd.
    • Amazon Web Services Inc.

第31章 其他重大及創新企業

  • 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.

第32章競爭基準化分析

第 33 章. 競爭對手儀表板

第34章 重大併購

第35章 未來前景與可能性分析

第36章附錄

簡介目錄
Product Code: r16713

Reinforcement learning (RL) is a machine learning approach where an agent learns to make decisions through interactions with an environment. It is versatile and applicable across various industries, solving problems where agents interact with environments to achieve specific goals.

Reinforcement learning deployments can be categorized into two main types such as on-premises and cloud-based. On-premise deployment involves hosting and managing the software application and its data locally within the organization or individual's premises. This deployment model is utilized by various end-users, including healthcare, banking, financial services, and insurance (BFSI), retail, telecommunication, government and defense, energy and utilities, and manufacturing.

The reinforcement learning market research report is one of a series of new reports from The Business Research Company that provides reinforcement learning market statistics, including reinforcement learning industry global market size, regional shares, competitors with a reinforcement learning market share, detailed reinforcement learning market segments, market trends and opportunities, and any further data you may need to thrive in the reinforcement learning industry. This reinforcement learning market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The reinforcement learning market size has grown exponentially in recent years. It will grow from $8.14 billion in 2023 to $10.49 billion in 2024 at a compound annual growth rate (CAGR) of 29.0%. The historic growth in the artificial intelligence (AI) market can be attributed to several factors, including the increase in computing power, the rise in data availability, the development of industry-specific applications, the adoption of open-source frameworks, and the demonstrated success of AI in real-world applications.

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 forecasted growth can be attributed to several factors, including continued algorithmic advances, growing demand for autonomous systems, integration with edge computing, expansion of reinforcement learning in healthcare, and a focus on explainability and interpretability. Major trends in the forecast period include advancements in deep learning, the dominance of transfer learning, the emergence of hybrid learning architectures, the application of reinforcement learning at the edge, and improvements in explainability and interpretability.

The growth of the reinforcement learning market is expected to be propelled by the increasing adoption of industrial automation. Industrial automation involves the use of advanced technologies, control systems, and machinery to automate industrial processes and operations. Reinforcement learning (RL) is becoming increasingly prevalent in industrial automation due to its ability to learn optimal control policies through interaction with the environment, without the need for explicit programming. For example, the International Federation of Robotics reported that there were 23,000 industrial robots operating in UK factories in 2021, a 6% increase from the previous year, with sales of new robots up by 8% to 2,205 units in 2020. This rise in industrial automation is a key driver behind the growth of the reinforcement learning market.

Major companies in the reinforcement learning market are focusing on advancements in AI, particularly in autonomous control AI services, due to the potential applications of reinforcement learning across various industries. Autonomous Control AI Service refers to a new technology that achieves complex process control, previously manual, using reinforcement learning. For example, in February 2023, Yokogawa Electric Corporation launched a reinforcement learning solution for edge controllers. The autonomous control service for OpreX Realtime OS-based Machine Controllers (e-RT3 Plus) utilizes the Factorial Kernel Dynamic Policy Programming (FKDPP) reinforcement learning AI algorithm. It includes packaged software, consulting services, and/or training programs tailored to end-user requirements. Initially targeting 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.

In January 2023, McKinsey & Company, a US-based management consulting firm, acquired Iguazio Systems Ltd. for an undisclosed amount. This acquisition was intended to enhance McKinsey's AI capabilities, solidify its position as a leader among AI service providers, and enable clients to derive real business value from AI with reduced overhead. Iguazio Systems Ltd., based in Israel, specializes in AI and machine learning development platforms, offering reinforcement learning through feedback.

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.

North America was the largest region in the reinforcement learning market in 2023. The regions covered in the reinforcement learning market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the reinforcement learning market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The reinforcement learning market consists of revenues earned by entities by providing services such as consulting services, algorithm development, model training and optimization, deployment and integration, and managed services. The market value includes the value of related goods sold by the service provider or included within the service offering. The reinforcement learning market also includes sales of robotics, virtual assistant devices, and recommendation systems. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Reinforcement Learning Global Market Report 2024 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on reinforcement learning market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

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  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
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  • Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for reinforcement learning? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The reinforcement learning market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of covid 19 on supply chains and consumption patterns.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:

  • 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
  • Companies Mentioned: Google LLC; Microsoft Corp.; Metadata Platforms Inc.; Tencent Holdings Ltd.; Amazon Web Services Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Reinforcement Learning Market Characteristics

3. Reinforcement Learning Market Trends And Strategies

4. Reinforcement Learning Market - Macro Economic Scenario

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Reinforcement Learning Market Size and Growth

  • 5.1. Global Reinforcement Learning Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Reinforcement Learning Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Reinforcement Learning Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. Reinforcement Learning Market Segmentation

  • 6.1. Global Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • On-Premises
  • Cloud-Based
  • 6.2. Global Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Large
  • Small And Medium Enterprises
  • 6.3. Global Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Healthcare
  • Banking Financial Services And Insurance (BFSI)
  • Retail
  • Telecommunication
  • Government And Defense
  • Energy And Utilities
  • Manufacturing

7. Reinforcement Learning Market Regional And Country Analysis

  • 7.1. Global Reinforcement Learning Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Reinforcement Learning Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific Reinforcement Learning Market

  • 8.1. Asia-Pacific Reinforcement Learning Market Overview
  • Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China Reinforcement Learning Market

  • 9.1. China Reinforcement Learning Market Overview
  • 9.2. China Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Reinforcement Learning Market

  • 10.1. India Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan Reinforcement Learning Market

  • 11.1. Japan Reinforcement Learning Market Overview
  • 11.2. Japan Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Reinforcement Learning Market

  • 12.1. Australia Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Reinforcement Learning Market

  • 13.1. Indonesia Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Reinforcement Learning Market

  • 14.1. South Korea Reinforcement Learning Market Overview
  • 14.2. South Korea Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe Reinforcement Learning Market

  • 15.1. Western Europe Reinforcement Learning Market Overview
  • 15.2. Western Europe Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Reinforcement Learning Market

  • 16.1. UK Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Reinforcement Learning Market

  • 17.1. Germany Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Reinforcement Learning Market

  • 18.1. France Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Reinforcement Learning Market

  • 19.1. Italy Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Reinforcement Learning Market

  • 20.1. Spain Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe Reinforcement Learning Market

  • 21.1. Eastern Europe Reinforcement Learning Market Overview
  • 21.2. Eastern Europe Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Reinforcement Learning Market

  • 22.1. Russia Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America Reinforcement Learning Market

  • 23.1. North America Reinforcement Learning Market Overview
  • 23.2. North America Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA Reinforcement Learning Market

  • 24.1. USA Reinforcement Learning Market Overview
  • 24.2. USA Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada Reinforcement Learning Market

  • 25.1. Canada Reinforcement Learning Market Overview
  • 25.2. Canada Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America Reinforcement Learning Market

  • 26.1. South America Reinforcement Learning Market Overview
  • 26.2. South America Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Reinforcement Learning Market

  • 27.1. Brazil Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East Reinforcement Learning Market

  • 28.1. Middle East Reinforcement Learning Market Overview
  • 28.2. Middle East Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa Reinforcement Learning Market

  • 29.1. Africa Reinforcement Learning Market Overview
  • 29.2. Africa Reinforcement Learning Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Reinforcement Learning Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Reinforcement Learning Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. Reinforcement Learning Market Competitive Landscape And Company Profiles

  • 30.1. Reinforcement Learning Market Competitive Landscape
  • 30.2. Reinforcement Learning Market Company Profiles
    • 30.2.1. Google LLC
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Microsoft Corp.
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. Metadata Platforms Inc.
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Tencent Holdings Ltd.
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Amazon Web Services Inc.
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

31. Reinforcement Learning Market Other Major And Innovative Companies

  • 31.1. Intel Corp.
  • 31.2. International Business Machines Corporation
  • 31.3. SAP SE
  • 31.4. Nvidia Corp.
  • 31.5. Hewlett Packard Enterprise LP
  • 31.6. ABB Ltd.
  • 31.7. Salesforce Inc.
  • 31.8. Cognizant Technology Solutions India Pvt. Ltd.
  • 31.9. Baidu Inc.
  • 31.10. Yandex LLC
  • 31.11. SAS Institute
  • 31.12. Sentient Technologies LLC
  • 31.13. Unity Technologies Inc.
  • 31.14. TIBCO Software Inc.
  • 31.15. SenseTime Group Ltd.

32. Global Reinforcement Learning Market Competitive Benchmarking

33. Global Reinforcement Learning Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Reinforcement Learning Market

35. Reinforcement Learning Market Future Outlook and Potential Analysis

  • 35.1 Reinforcement Learning Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Reinforcement Learning Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Reinforcement Learning Market In 2028 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer