세계의 산업용 IoT AI 클라우드 컴퓨팅 시장 보고서(2025년)
Cloud Computing In Industrial IoT AI Global Market Report 2025
상품코드 : 1682084
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 200 Pages
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한글목차

산업용 IoT AI 클라우드 컴퓨팅 시장 규모는 향후 수년간 급성장할 것으로 전망됩니다. 2029년에는 CAGR 18.8%로 성장할 전망이며, 2,317억 7,000만 달러로 성장이 예측됩니다. 예측 기간의 성장은 전자 진료기록카드(EHR)와의 통합, 조기 개입의 중시, 원격 환자 모니터링 확대, 정신건강 과제 증가, 세계 헬스에 대한 대처 등에 기인할 것으로 보입니다. 예측 기간 주요 동향으로는 디지털 치료제 채택, AI 및 VR의 기술 진보, 디지털 헬스 및 원격 의료 동향, 연구기관과의 연계, 인지 훈련의 게이미피케이션 등이 있습니다.

클라우드 컴퓨팅 도입의 확대는 당분간 산업용 IoT AI 클라우드 컴퓨팅의 확대를 촉진할 것으로 예측됩니다. 클라우드 컴퓨팅은 인터넷을 통한 컴퓨팅 서비스 제공을 의미하며, 사용자가 서버, 스토리지, 소프트웨어 및 기타 리소스에 대한 온디맨드 액세스를 허용함으로써 신속한 혁신, 유연한 리소스 및 비용 효율적인 솔루션을 제공합니다. 산업용 IoT AI 클라우드 컴퓨팅은 원활한 통합을 위한 확장 가능한 인프라, 실시간 분석 및 효율적인 데이터 스토리지를 제공함으로써 수요를 높이고 있습니다. 사물인터넷(IoT)을 지원하는 클라우드 아키텍처 및 서비스는 IoT 디바이스의 AI 플랫폼에서 생성된 데이터를 저장 및 처리하여 부드러운 연결, 데이터 관리 및 고급 분석을 촉진할 수 있습니다. 예를 들어 Eurostat가 2023년 12월에 보고한 바에 따르면 EU(유럽 연합) 기업의 45.2%가 주로 전자 메일 시스템 호스팅, 전자 파일 저장 및 기타 작업을 위한 클라우드 컴퓨팅 서비스를 받고 있습니다. 대기업의 도입률은 더욱 높았으며, 2023년에는 77.6%가 클라우드 컴퓨팅 서비스를 구입하였고 2021년부터 6포인트 상승했습니다. 이와 같이 클라우드 컴퓨팅의 채용 확대는 산업용 IoT AI 클라우드 컴퓨팅의 확대에 박차를 가하고 있습니다.

산업용 IoT AI 클라우드 컴퓨팅의 주요 기업은 경쟁력을 강화하기 위해 클라우드 기반 개발 환경 플랫폼과 같은 혁신적인 기술 솔루션을 개발하기 위한 노력을 강화하고 있습니다. 클라우드 기반 개발 환경 플랫폼은 소프트웨어 개발팀이 공동으로 애플리케이션을 구축, 테스트, 디플로이하기 위한 집중형 플랫폼으로 기능합니다. 예를 들어, 르네사스 일렉트로닉스는 2023년 12월에 AI Workbench를 발표했습니다. 이것은 클라우드 기반의 가상 환경으로, 개발자는 다양한 애플리케이션의 소프트웨어를 설계, 시뮬레이션, 테스트할 수 있습니다. 이 가상 개발 환경은, 차재 AI 엔지니어가 르네사스의 스케일러블한 차재용 SoC(시스템 온 칩)나 마이크로컨트롤러를 활용해 소프트웨어를 설계, 시뮬레이션, 테스트할 수 있도록 하는 것입니다. 이 플랫폼은 Microsoft Azure Cloud 상에서 개발되고 다른 클라우드 벤더에서도 지원되기 때문에 고객은 AI Workbench의 기능을 개발 워크플로우에 원활하게 통합할 수 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향 및 전략

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

제5장 세계의 성장 분석 및 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별 및 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 구도 및 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹 및 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문 및 전략

제36장 부록

AJY
영문 목차

영문목차

Cloud computing in Industrial IoT (Internet of Things) AI involves leveraging remote servers to store, process, and analyze data for industrial applications while integrating artificial intelligence capabilities. It is utilized for IoT data storage, processing, and management, facilitating secure sharing of industrial data between organizations, storing data in cloud storage for future processing, and offering advanced analytics capabilities for predictive maintenance, anomaly detection, and process optimization in industrial operations.

The primary types of cloud computing in Industrial IoT AI include hybrid, private, and public models. Hybrid cloud computing combines on-premises infrastructure or a private cloud with third-party public cloud services, allowing data and applications to transition between the two environments seamlessly. Various sensors are employed, including optical sensors, pressure sensors, proximity sensors, and temperature sensors. Additionally, different service models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) are utilized across various industries including energy, healthcare, manufacturing, mining and agriculture, oil and gas, and transportation.

The cloud computing in industrial IoT AI market research report is one of a series of new reports from The Business Research Company that provides cloud computing in industrial IoT AI market statistics, including cloud computing in industrial IoT AI industry global market size, regional shares, competitors with a cloud computing in industrial IoT AI market share, detailed cloud computing in industrial IoT AI market segments, market trends and opportunities, and any further data you may need to thrive in the cloud computing in industrial IoT AI industry. This cloud computing in industrial IoT AI 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 cloud computing in industrial iot ai market size has grown rapidly in recent years. It will grow from $98.34 billion in 2024 to $116.34 billion in 2025 at a compound annual growth rate (CAGR) of 18.3%. The growth in the historic period can be attributed to aging population demographics, rise in neurological disorders, advancements in cognitive science, increased mental health awareness, personalized medicine approaches.

The cloud computing in industrial iot ai market size is expected to see rapid growth in the next few years. It will grow to $231.77 billion in 2029 at a compound annual growth rate (CAGR) of 18.8%. The growth in the forecast period can be attributed to integration with electronic health records (EHR), focus on early intervention, remote patient monitoring expansion, increasing mental health challenges, global health initiatives. Major trends in the forecast period include digital therapeutics adoption, technological advancements in AI and VR, digital health and telemedicine trends, collaboration with research institutions, gamification of cognitive training.

The growth of cloud computing adoption is anticipated to drive the expansion of cloud computing in the industrial IoT AI market in the foreseeable future. Cloud computing refers to the delivery of computing services over the internet, offering rapid innovation, flexible resources, and cost-effective solutions by granting users access to servers, storage, software, and other resources on demand. In the industrial IoT AI domain, cloud computing enhances demand by providing scalable infrastructure, real-time analytics, and efficient data storage for seamless integration. Cloud architectures and services supporting the Internet of Things (IoT) can store and process data generated by AI platforms on IoT devices, facilitating smooth connectivity, data management, and advanced analytics. For example, Eurostat reported in December 2023 that 45.2% of EU (European Union) enterprises acquired cloud computing services, primarily for hosting email systems, storing electronic files, and other tasks. The adoption rate among large businesses was even higher, with 77.6% purchasing cloud computing services in 2023, reflecting a 6-percentage point increase from 2021. Thus, the growing adoption of cloud computing is fueling the expansion of cloud computing in the industrial IoT AI market.

Key players in the cloud computing in the industrial IoT AI market are intensifying their efforts to develop innovative technological solutions, such as cloud-based development environment platforms, to enhance their competitive position. A cloud-based development environment platform serves as a centralized platform for software development teams to collaborate, build, test, and deploy applications. For instance, Renesas Electronics Corporation launched the AI Workbench in December 2023, a cloud-based virtual environment enabling developers to design, simulate, and test software across various applications. This virtual development environment empowers automotive AI engineers to leverage Renesas' scalable automotive SoCs (system-on-chip) and microcontrollers for designing, simulating, and testing software. Built on the Microsoft Azure Cloud, the platform will be supported by other cloud vendors, allowing customers to seamlessly integrate AI Workbench functionality into their development workflow.

In June 2023, Accenture acquired Flutura to bolster its industrial AI services for clients in energy, chemicals, metals, mining, and pharmaceutical industries. Flutura, based in India, specializes in providing cloud computing solutions in industrial IoT.

Major companies operating in the cloud computing in industrial IoT AI market report are Google LLC (Alphabet), Microsoft Corp., Robert Bosch GmbH, Hitachi Ltd., Amazon Web Services Inc. (AWS), Siemens AG, General Electric, Intel Corp., IBM Corp., Cisco Systems Inc., Oracle Corp., Schneider Electric SE, Honeywell International Inc., ABB Ltd., Fujitsu Ltd., Salesforce Inc., Cority Software Inc., DXC Technologies, IROOTECH (Sany Group), Rockwell Automation, Wolters Kluwer N.V., Iron Mountain Inc., Advantech, PTC ThingWorx, LosantIOT Inc., Fogwing Cloud (Factana Computing Pvt)

North America was the largest region in the cloud computing in industrial IoT AI market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the cloud computing in industrial iot AI market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the cloud computing in industrial IoT AI market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The cloud computing in industrial IoT AI market consists of revenues earned by entities by providing services such as centralized data storage, real-time analytics, artificial intelligence integration, and cloud-based infrastructure for industrial applications. 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 cloud computing in industrial IoT AI market also includes sales of servers, storage devices, and networking equipment. 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.

Cloud Computing In Industrial IoT AI 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 cloud computing in industrial iot ai 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 cloud computing in industrial iot ai ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The cloud computing in industrial iot ai 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. Cloud Computing In Industrial IoT AI Market Characteristics

3. Cloud Computing In Industrial IoT AI Market Trends And Strategies

4. Cloud Computing In Industrial IoT AI Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Cloud Computing In Industrial IoT AI Growth Analysis And Strategic Analysis Framework

6. Cloud Computing In Industrial IoT AI Market Segmentation

7. Cloud Computing In Industrial IoT AI Market Regional And Country Analysis

8. Asia-Pacific Cloud Computing In Industrial IoT AI Market

9. China Cloud Computing In Industrial IoT AI Market

10. India Cloud Computing In Industrial IoT AI Market

11. Japan Cloud Computing In Industrial IoT AI Market

12. Australia Cloud Computing In Industrial IoT AI Market

13. Indonesia Cloud Computing In Industrial IoT AI Market

14. South Korea Cloud Computing In Industrial IoT AI Market

15. Western Europe Cloud Computing In Industrial IoT AI Market

16. UK Cloud Computing In Industrial IoT AI Market

17. Germany Cloud Computing In Industrial IoT AI Market

18. France Cloud Computing In Industrial IoT AI Market

19. Italy Cloud Computing In Industrial IoT AI Market

20. Spain Cloud Computing In Industrial IoT AI Market

21. Eastern Europe Cloud Computing In Industrial IoT AI Market

22. Russia Cloud Computing In Industrial IoT AI Market

23. North America Cloud Computing In Industrial IoT AI Market

24. USA Cloud Computing In Industrial IoT AI Market

25. Canada Cloud Computing In Industrial IoT AI Market

26. South America Cloud Computing In Industrial IoT AI Market

27. Brazil Cloud Computing In Industrial IoT AI Market

28. Middle East Cloud Computing In Industrial IoT AI Market

29. Africa Cloud Computing In Industrial IoT AI Market

30. Cloud Computing In Industrial IoT AI Market Competitive Landscape And Company Profiles

31. Cloud Computing In Industrial IoT AI Market Other Major And Innovative Companies

32. Global Cloud Computing In Industrial IoT AI Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Cloud Computing In Industrial IoT AI Market

34. Recent Developments In The Cloud Computing In Industrial IoT AI Market

35. Cloud Computing In Industrial IoT AI Market High Potential Countries, Segments and Strategies

36. Appendix

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