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세계의 자기 학습 AI 및 강화 학습 시장 보고서(2025년)
Self-learning AI And Reinforcement Learning Global Market Report 2025
상품코드 : 1760261
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 175 Pages
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한글목차

자기 학습 AI 및 강화 학습 시장 규모는 향후 몇 년간 비약적인 성장이 예상됩니다. 맞춤형 사용자 경험에 대한 수요 증가, 강화 학습과 IoT 및 에지 AI 기술과의 통합, 정부 및 방어 부문의 응용 확대, 의료 진단 및 치료 계획 활용 확대, 멀티 에이전트 강화 학습(MARL)의 진보 등에 기인한다고 생각됩니다. 예측 기간 중에 예상되는 주요 동향에는 금융·거래 알고리즘에의 강화 학습의 응용, HRL(Human-in-the-Loop 강화 학습)의 출현, 적응적인 위협 대응을 위한 강화 학습 베이스의 사이버 보안, 양자 머신러닝과의 통합, 개별화 교육 플랫폼 등이 있습니다.

자율 주행 차량 증가가 자기 학습 AI 및 강화 학습 시장의 성장을 가속할 것으로 예측됩니다. 따라서 자기 학습 AI 및 강화 학습은 이러한 차량이 실시간 데이터 처리, 복잡한 환경에서의 적응 행동, 명시적인 프로그래밍을 수반하지 않는 과거의 경험으로부터의 학습을 통해 의사결정을 향상시켜, 안전성, 효율성, 응답성의 향상으로 연결되어 자율주행을 강화합니다. 예를 들어, 2022년 12월 전미보험감독관협회는 2025년까지 미국 도로에서 350만 대의 자율주행차가 운행되고 2030년에는 450만 대까지 증가할 것으로 예상했습니다.

자기 학습 AI 및 강화 학습 부문의 주요 기업은 AI 시스템의 성능과 의사 결정 능력을 높이기 위해 자체 개선된 AI 모델을 개발하고 있습니다. 예를 들어, 2023년 6월 영국에 본사를 둔 소프트웨어 회사인 딥마인드는 스스로 학습하는 AI 모델인 RoboCat을 출시했습니다. 이것은 인간의 피드백이나 외부 데이터 세트에 의존하지 않고, AI 시스템이 언어 기반의 인터랙션을 통해 능력을 향상시킬 수 있게 합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, 무역전쟁과 관세, 코로나 및 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 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 전략

제36장 부록

KTH
영문 목차

영문목차

Self-learning AI and reinforcement learning (RL) are systems that enhance their performance over time by learning from their own actions and experiences. In reinforcement learning, an AI agent engages with its environment, receives feedback in the form of rewards or penalties, and modifies its behaviour to achieve long-term success, without needing explicit programming for every situation.

The key technology types in the self-learning AI and reinforcement learning market include natural language processing, computer vision, and speech processing. Natural language processing is a branch of artificial intelligence that enables machines to comprehend, interpret, and respond to human language in a meaningful and useful manner. These technologies are deployed through both on-premises and cloud-based models across various organizations, including large enterprises and small and medium-sized enterprises (SMEs). They are applied across several industry sectors such as healthcare, banking, financial services and insurance (BFSI), automotive and transportation, information technology (IT) and software development, advertising and media, among others.

The self-learning AI and reinforcement learning market research report is one of a series of new reports from The Business Research Company that provides self-learning AI and reinforcement learning market statistics, including self-learning AI and reinforcement learning industry global market size, regional shares, competitors with a self-learning AI and reinforcement learning market share, detailed self-learning AI and reinforcement learning market segments, market trends and opportunities, and any further data you may need to thrive in the self-learning AI and reinforcement learning industry. This self-learning AI and 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 self-learning AI and reinforcement learning market size has grown exponentially in recent years. It will grow from $11.25 billion in 2024 to $15.21 billion in 2025 at a compound annual growth rate (CAGR) of 35.1%. The growth during the historic period can be attributed to the expansion of big data volumes, advancements in graphics processing units (GPUs) and cloud computing, the increasing adoption of chatbots and virtual assistants, integration into robotics and autonomous systems, and heightened research and development investments by major technology companies and academic institutions.

The self-learning AI and reinforcement learning market size is expected to see exponential growth in the next few years. It will grow to $50.27 billion in 2029 at a compound annual growth rate (CAGR) of 45.4%. The growth in the forecast period can be attributed to the rising demand for personalized user experiences, the integration of reinforcement learning with IoT and edge AI technologies, growing applications in government and defense sectors, expanding use in healthcare diagnostics and treatment planning, and advancements in multi-agent reinforcement learning (MARL). Key trends expected during the forecast period include the application of reinforcement learning in financial and trading algorithms, the emergence of human-in-the-loop reinforcement learning (HRL), reinforcement learning-based cybersecurity for adaptive threat response, integration with quantum machine learning, and its implementation in personalized education platforms.

Increase in the rise in autonomous driving vehicles is expected to drive the growth of the self-learning AI and reinforcement learning market. Autonomous vehicles are capable of navigating and operating independently using sensors, cameras, and artificial intelligence without human input. This growth is being fueled by advancements in AI, which enable safer navigation, minimize human error, and support more efficient traffic systems. Self-learning AI and reinforcement learning enhance autonomous driving by allowing these vehicles to improve decision-making through real-time data processing, adaptive behavior in complex environments, and learning from past experiences without explicit programming, leading to increased safety, efficiency, and responsiveness. For example, in December 2022, the National Association of Insurance Commissioners reported that 3.5 million autonomous vehicles are expected on U.S. roads by 2025, rising to 4.5 million by 2030. Therefore, the growth in autonomous driving vehicles supports the expansion of the self-learning AI and reinforcement learning market.

Leading companies in the self-learning AI and reinforcement learning space are developing self-improving AI models to boost the performance and decision-making abilities of AI systems. These models enable AI agents to learn from experience and adapt to new environments without human guidance, resulting in continuous performance improvement. For instance, in June 2023, DeepMind, a UK-based software company, introduced RoboCat, a self-improving AI model. It allows AI systems to enhance their capabilities through language-based interactions, independent of human feedback or external datasets. RoboCat can learn from its actions and refine its strategies over time, making it well-suited for complex tasks in fields such as robotics and automation.

In August 2024, AMD, a U.S.-based technology firm, acquired Silo AI for $665 million. This acquisition is intended to bolster AMD's AI capabilities by incorporating Silo AI's expertise in developing large language models and sophisticated AI solutions. Silo AI, a Finland-based AI lab, specializes in using advanced machine learning techniques, including reinforcement learning, to create its AI models.

Major players in the self-learning ai and reinforcement learning market are Apple Inc., Goggle LLC, Microsoft Corporation, Meta Platform, Tesla Inc., Amazon Web Service Inc., Intel Corporation, International Business Machines Corporation, Oracle Corporation, Hewlett Packard Enterprise, SAP SE, SAS Institute, TIBCO Software, FICO, The MathWorks Inc., Databricks Inc., Datacamp Inc., Dataiku, DataRobot inc., RapidMiner.

North America was the largest region in the self-learning AI and reinforcement learning market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in self-learning AI and reinforcement learning report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

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

The self-learning AI and reinforcement learning market consists of revenues earned by entities by providing services such as model training, environment simulation, algorithm development, performance evaluation, data annotation, reward system design, policy optimization, deployment support, continuous learning management, and integration services. The market value includes the value of related goods sold by the service provider or included within the service offering. The self-learning AI and reinforcement learning market also includes sales of graphics processing units, tensor processing units, central processing units, high-speed memory, storage systems, networking equipment, edge devices, sensors, field-programmable gate array boards, specialized artificial intelligence accelerators. 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 and 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.

Self-learning AI And 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 self-learning ai and 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 self-learning ai and 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 self-learning ai and 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. Self-learning AI And Reinforcement Learning Market Characteristics

3. Self-learning AI And Reinforcement Learning Market Trends And Strategies

4. Self-learning AI And Reinforcement Learning Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Self-learning AI And Reinforcement Learning Growth Analysis And Strategic Analysis Framework

6. Self-learning AI And Reinforcement Learning Market Segmentation

7. Self-learning AI And Reinforcement Learning Market Regional And Country Analysis

8. Asia-Pacific Self-learning AI And Reinforcement Learning Market

9. China Self-learning AI And Reinforcement Learning Market

10. India Self-learning AI And Reinforcement Learning Market

11. Japan Self-learning AI And Reinforcement Learning Market

12. Australia Self-learning AI And Reinforcement Learning Market

13. Indonesia Self-learning AI And Reinforcement Learning Market

14. South Korea Self-learning AI And Reinforcement Learning Market

15. Western Europe Self-learning AI And Reinforcement Learning Market

16. UK Self-learning AI And Reinforcement Learning Market

17. Germany Self-learning AI And Reinforcement Learning Market

18. France Self-learning AI And Reinforcement Learning Market

19. Italy Self-learning AI And Reinforcement Learning Market

20. Spain Self-learning AI And Reinforcement Learning Market

21. Eastern Europe Self-learning AI And Reinforcement Learning Market

22. Russia Self-learning AI And Reinforcement Learning Market

23. North America Self-learning AI And Reinforcement Learning Market

24. USA Self-learning AI And Reinforcement Learning Market

25. Canada Self-learning AI And Reinforcement Learning Market

26. South America Self-learning AI And Reinforcement Learning Market

27. Brazil Self-learning AI And Reinforcement Learning Market

28. Middle East Self-learning AI And Reinforcement Learning Market

29. Africa Self-learning AI And Reinforcement Learning Market

30. Self-learning AI And Reinforcement Learning Market Competitive Landscape And Company Profiles

31. Self-learning AI And Reinforcement Learning Market Other Major And Innovative Companies

32. Global Self-learning AI And Reinforcement Learning Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Self-learning AI And Reinforcement Learning Market

34. Recent Developments In The Self-learning AI And Reinforcement Learning Market

35. Self-learning AI And Reinforcement Learning Market High Potential Countries, Segments and Strategies

36. Appendix

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