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세계의 강화학습 시장 보고서(2025년)
Reinforcement Learning Global Market Report 2025
상품코드 : 1694888
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 200 Pages
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한글목차

강화학습 시장 규모는 향후 몇 년 동안 연평균 28.4%의 성장률을 기록하며 2029년에는 367억 5,000만 달러에 달할 것으로 예상됩니다. 예측 기간 동안의 성장은 알고리즘의 지속적인 발전, 자율 시스템에 대한 수요 증가, 엣지 컴퓨팅과의 통합, 헬스케어 분야에서의 강화학습 확대, 설명 능력과 해석 가능성에 대한 관심 증가 등에 기인하는 것으로 분석됩니다. 예측 기간의 주요 동향으로는 딥러닝의 발전, 전이학습의 우위, 하이브리드 학습 아키텍처, 엣지 강화학습, 설명 능력 및 해석 가능성 향상 등을 꼽을 수 있습니다.

강화학습 시장의 성장은 산업 자동화의 부상에 의해 주도될 것으로 예상됩니다. 산업 자동화는 산업 공정 및 운영을 간소화하기 위한 첨단 기술, 제어 시스템, 기계의 사용을 포함합니다. 강화학습(RL)은 명시적인 프로그래밍을 필요로 하지 않고 환경과의 상호작용을 통해 최적의 제어 정책을 개발할 수 있기 때문에 산업 자동화에 적용이 확대되고 있습니다. 예를 들어, 2024년 9월 독일에 본부를 둔 비영리 단체인 국제로봇연맹은 2023년 전 세계 공장에서 가동 중인 로봇의 수가 428만 1,585대로 10% 증가했다고 보고했습니다. 연간 도입 대수는 3년 연속 50만 대를 넘어섰습니다. 지역별로는 2023년 신규 도입된 로봇의 70%가 아시아, 17%가 유럽, 10%가 북미와 남미에 도입되었습니다. 이처럼 산업 자동화의 부상은 강화학습 시장의 성장을 견인하고 있습니다.

강화학습 시장의 주요 기업들은 다양한 산업에서 강화학습이 적용될 가능성이 있기 때문에 AI의 발전, 특히 자율제어 AI 서비스에 집중하고 있습니다. 자율제어 AI 서비스는 기존에 수작업으로 수행하던 복잡한 공정 제어를 강화학습을 통해 실현하는 신기술을 말합니다. 예를 들어, 요꼬가와전기는 2023년 2월 엣지 컨트롤러용 강화학습 솔루션 제공을 시작했으며, OpreX Realtime OS-based Machine Controllers(e-RT3 Plus)를 위한 자율제어 서비스로 AI 알고리즘 'FKDPP(Factorial Kernel Dynamic Policy Programming)'를 적용하고 있습니다. Factorial Kernel Dynamic Policy Programming)의 강화학습을 활용하고 있습니다. 최종 사용자의 요구사항에 맞춘 패키지 소프트웨어, 컨설팅 서비스, 트레이닝 프로그램이 포함됩니다. 초기에는 자원-에너지, 소재, 전자 등의 산업을 대상으로 단순화된 AI 모델 생성, 0.01초의 짧은 제어 주기 지원, 자율 제어 AI를 갖춘 엣지 컨트롤러의 후장 기능 등을 제공합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, 코로나, 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 개요

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장 잠재력이 높은 국가, 부문, 전략

제36장 부록

LSH
영문 목차

영문목차

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 $10.49 billion in 2024 to $13.52 billion in 2025 at a compound annual growth rate (CAGR) of 28.9%. The growth in the historic period can be attributed to increase in computing power, rise in data availability, industry-specific applications, open-source frameworks, and demonstrated success in real-world applications.

The reinforcement learning market size is expected to see exponential growth in the next few years. It will grow to $36.75 billion in 2029 at a compound annual growth rate (CAGR) of 28.4%. 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 growth of the reinforcement learning market is expected to be driven by the rise in industrial automation. Industrial automation involves the use of advanced technologies, control systems, and machinery to streamline industrial processes and operations. Reinforcement learning (RL) is increasingly being applied in industrial automation due to its capability to develop optimal control policies through environmental interactions without requiring explicit programming. For example, in September 2024, the International Federation of Robotics, a Germany-based non-profit organization, reported that in 2023, there were 4,281,585 robot units operating in factories worldwide, reflecting a 10% increase. Annual installations have exceeded half a million units for the third consecutive year. Regionally, 70% of newly deployed robots in 2023 were installed in Asia, 17% in Europe, and 10% in the Americas. Thus, the rise in industrial automation is fueling 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 2024. 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 2025 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

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 forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

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 Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Reinforcement Learning Growth Analysis And Strategic Analysis Framework

6. Reinforcement Learning Market Segmentation

7. Reinforcement Learning Market Regional And Country Analysis

8. Asia-Pacific Reinforcement Learning Market

9. China Reinforcement Learning Market

10. India Reinforcement Learning Market

11. Japan Reinforcement Learning Market

12. Australia Reinforcement Learning Market

13. Indonesia Reinforcement Learning Market

14. South Korea Reinforcement Learning Market

15. Western Europe Reinforcement Learning Market

16. UK Reinforcement Learning Market

17. Germany Reinforcement Learning Market

18. France Reinforcement Learning Market

19. Italy Reinforcement Learning Market

20. Spain Reinforcement Learning Market

21. Eastern Europe Reinforcement Learning Market

22. Russia Reinforcement Learning Market

23. North America Reinforcement Learning Market

24. USA Reinforcement Learning Market

25. Canada Reinforcement Learning Market

26. South America Reinforcement Learning Market

27. Brazil Reinforcement Learning Market

28. Middle East Reinforcement Learning Market

29. Africa Reinforcement Learning Market

30. Reinforcement Learning Market Competitive Landscape And Company Profiles

31. Reinforcement Learning Market Other Major And Innovative Companies

32. Global Reinforcement Learning Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Reinforcement Learning Market

34. Recent Developments In The Reinforcement Learning Market

35. Reinforcement Learning Market High Potential Countries, Segments and Strategies

36. Appendix

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