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세계의 AI 및 머신러닝 운영 소프트웨어 시장 보고서(2025년)
AI And Machine Learning Operationalization Software Global Market Report 2025
상품코드 : 1680844
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 200 Pages
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한글목차

AI 및 머신러닝 운영 소프트웨어 시장 규모는 향후 수년간 비약적인 성장이 전망될 예정입니다. 예측 기간의 성장은 도시화 추세의 증가, AutoML의 채택 증가, 간소화된 프로세스에 대한 수요 증가, 다양한 차량 카테고리의 가용성 증가, 여러 산업의 적응으로 성장, 하이브리드 및 멀티 클라우드 전략의 채택 증가에 기인할 수 있습니다.

인터넷 보급률 증가가 예상되어 AI 및 머신러닝 운영 소프트웨어 시장의 성장을 견인할 것으로 보입니다. 인터넷 보급률 증가는 인프라 개선, 연결성에 대한 소비자 수요, 장치 호환성에 대한 요구 증가로 인해 발생합니다. 인터넷은 데이터 액세스, 협업, 배포, 탈링, 다른 서비스와의 통합을 간소화하는 운영 소프트웨어를 통해 AI 및 ML 모델의 원활한 배포, 관리 및 확장을 용이하게 합니다. 예를 들어, 2022년 11월 국제전기통신연합(ITU)이 발표한 바에 따르면 2022년 전 세계 인터넷 보급률은 약 53억 명으로 전 세계 인구의 66%를 차지했으며 2021년 대비 6.1% 증가했습니다.

AI 및 머신러닝 운영 소프트웨어 시장의 주요 기업은 경쟁력을 유지하기 위해 서버리스 AI 및 머신러닝 엔진과 같은 최첨단 인프라를 개발하는 데 주력하고 있습니다. 예를 들어, 2023년 11월, 테라데이타는 아마존 웹 서비스(AWS) 클라우드에 테라데이타 AI 무제한 플랫폼을 도입했습니다. 실험 및 발견에 최적화된 비용 효율적인 환경과 고급 클리어스케이프 분석 기능을 결합한 AWS의 테라데이타 AI 무제한은 특히 데이터 과학자, 데이터 엔지니어 및 개발자에게 적합하며, 이들이 대규모 데이터를 사용해 새로운 AI 애플리케이션을 탐색할 수 있도록 지원합니다. 서버리스 AI 및 머신러닝 엔진, 컴퓨팅 및 엔진 내 분석, AWS AI 에코시스템 내 원활한 통합과 같은 기능을 제공하는 이 플랫폼은 가져온 모델 접근 방식을 지원하며 모델 프로토타이핑에서 운영 환경으로 원활하게 전환할 수 있도록 지원합니다.

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 프로파일

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

KTH
영문 목차

영문목차

AI and machine learning operationalization software refer to a suite of tools, platforms, and frameworks utilized to automate the deployment, administration, and scaling of artificial intelligence (AI) and machine learning (ML) models within production environments. This software streamlines the integration of AI and machine-learning algorithms into business processes and applications.

The primary product types of AI and machine learning operationalization software comprise cloud-based and web-based solutions. Cloud-based platforms are technologies that operate and store data on remote servers accessible via the Internet. These platforms offer diverse functionalities including model training and experimentation, model deployment and management, model monitoring and governance, and ML workflow automation. They find application across various industries including manufacturing, finance, healthcare, retail, IT and telecommunications, catering to both large enterprises and small and medium enterprises (SMEs).

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

The AI and machine learning operationalization software market size has grown exponentially in recent years. It will grow from $5.36 billion in 2024 to $7.68 billion in 2025 at a compound annual growth rate (CAGR) of 43.1%. The growth in the historic period can be attributed to an increase in disposable income, increased adoption of AI and ML, data explosion, demand for operational efficiency, cost reduction, and regulatory compliance.

The AI and machine learning operationalization software market size is expected to see exponential growth in the next few years. It will grow to $31.88 billion in 2029 at a compound annual growth rate (CAGR) of 42.8%. The growth in the forecast period can be attributed to the growing trend of urbanization, the adoption of AutoML is on the rise, increasing demand for streamlined processes, growing availability of various vehicle categories, growing with the adaption of several industries, increasingly adopting hybrid and multi-cloud strategies. Major trends in the forecast period include technological advancement, industry-specific solutions, integration of IoT and edge computing, hybrid cloud deployments, automation, and DevOps integration.

The anticipated increase in internet penetration is poised to drive the growth of the market for AI and machine learning operationalization software in the foreseeable future. Internet penetration refers to the proportion of a population with access to the Internet within a specific geographic area, typically a country or region. The escalation in Internet penetration rates is attributable to improved infrastructure, consumer demand for connectivity, and the growing need for device compatibility. The Internet facilitates seamless deployment, management, and scaling of AI and ML models through operationalization software, streamlining data access, collaboration, deployment, monitoring, and integration with other services. For instance, as reported by the International Telecommunication Union (ITU) in November 2022, global Internet penetration reached an estimated 5.3 billion individuals, accounting for 66% of the world's population in 2022, marking a 6.1% increase over 2021. Consequently, the surge in internet penetration is propelling the expansion of the AI and machine learning operationalization software market.

Key players in the AI and machine learning operationalization software market are focusing on developing cutting-edge infrastructure, such as serverless AI and machine learning engines, to stay competitive. A serverless AI and machine learning engine is a computing infrastructure that enables users to deploy and run AI and machine learning models without the need to provision or manage servers. For instance, in November 2023, Teradata Corp. introduced the Teradata AI Unlimited platform on the Amazon Web Services (AWS) cloud. Combining its advanced ClearScape Analytics capabilities with a cost-effective environment optimized for experimentation and discovery, Teradata AI Unlimited on AWS caters specifically to data scientists, data engineers, and developers, empowering them to explore new AI applications using large-scale data. Offering features like serverless AI and machine learning engines, compute and in-engine analytics, and seamless integration within the AWS AI ecosystem, the platform supports a bring-your-own-model approach and facilitates smooth transition from model prototyping to production environments. It serves as a comprehensive AI platform facilitating AI and ML operationalization within a broader AI development workflow.

In July 2023, Bain & Company acquired Max Kelsen, aiming to collaborate on helping enterprises develop and operationalize impactful AI and ML-enabled use cases. Max Kelsen, based in Australia, specializes in AI and machine learning operationalization software.

Major companies operating in the AI and machine learning operationalization software market report are Amazon Web Services Inc.; Google LLC; Microsoft Corporation; Intel Corporation; International Business Machines Corporation; Oracle Corporation; SAP SE; Hewlett Packard Enterprise Company; SAS Institute Inc.; Databricks Inc.; DataRobot Inc.; Weights & Biases Inc.; CognitiveScale Inc.; Peltarion AB; Iterative.ai; ValohAI Oy; Logical Clocks AB; Algorithmia Inc.; 5Analytics GmbH; Datatron Technologies Inc.; Determined AI Inc.; DreamQuark SAS; Neptune Labs Inc.; Imandra Inc.; Spell Inc.

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

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

The AI and machine learning operationalization software market includes revenues earned by entities by providing services, such as model versioning, monitoring, governance, and scalability. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

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.

AI And Machine Learning Operationalization Software 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 ai and machine learning operationalization software 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 ai and machine learning operationalization software ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The ai and machine learning operationalization software 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. AI And Machine Learning Operationalization Software Market Characteristics

3. AI And Machine Learning Operationalization Software Market Trends And Strategies

4. AI And Machine Learning Operationalization Software Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global AI And Machine Learning Operationalization Software Growth Analysis And Strategic Analysis Framework

6. AI And Machine Learning Operationalization Software Market Segmentation

7. AI And Machine Learning Operationalization Software Market Regional And Country Analysis

8. Asia-Pacific AI And Machine Learning Operationalization Software Market

9. China AI And Machine Learning Operationalization Software Market

10. India AI And Machine Learning Operationalization Software Market

11. Japan AI And Machine Learning Operationalization Software Market

12. Australia AI And Machine Learning Operationalization Software Market

13. Indonesia AI And Machine Learning Operationalization Software Market

14. South Korea AI And Machine Learning Operationalization Software Market

15. Western Europe AI And Machine Learning Operationalization Software Market

16. UK AI And Machine Learning Operationalization Software Market

17. Germany AI And Machine Learning Operationalization Software Market

18. France AI And Machine Learning Operationalization Software Market

19. Italy AI And Machine Learning Operationalization Software Market

20. Spain AI And Machine Learning Operationalization Software Market

21. Eastern Europe AI And Machine Learning Operationalization Software Market

22. Russia AI And Machine Learning Operationalization Software Market

23. North America AI And Machine Learning Operationalization Software Market

24. USA AI And Machine Learning Operationalization Software Market

25. Canada AI And Machine Learning Operationalization Software Market

26. South America AI And Machine Learning Operationalization Software Market

27. Brazil AI And Machine Learning Operationalization Software Market

28. Middle East AI And Machine Learning Operationalization Software Market

29. Africa AI And Machine Learning Operationalization Software Market

30. AI And Machine Learning Operationalization Software Market Competitive Landscape And Company Profiles

31. AI And Machine Learning Operationalization Software Market Other Major And Innovative Companies

32. Global AI And Machine Learning Operationalization Software Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI And Machine Learning Operationalization Software Market

34. Recent Developments In The AI And Machine Learning Operationalization Software Market

35. AI And Machine Learning Operationalization Software Market High Potential Countries, Segments and Strategies

36. Appendix

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