한글목차

세계의 AIoT 플랫폼 시장은 2024년에 58억 9,000만 달러로 평가되었고, 2030년에는 322억 9,000만 달러에 이를 전망이며, CAGR 32.79%로 성장할 것으로 예측됩니다.

이 시장은 인공지능을 IoT 생태계에 통합하여 다양한 산업에서 지능적인 실시간 의사 결정을 가능하게 합니다. AIoT 플랫폼은 연결된 장치에서 원활한 데이터 수집을 용이하게 하고 기계 학습, 엣지 컴퓨팅, 실시간 분석을 적용하여 실용적인 인사이트를 창출합니다. 이러한 기능은 운영 비용 절감, 다운타임 최소화, 자동화 지원에 도움이 됩니다. 5G 전개 및 고급 엣지 인프라에 힘입은 커넥티드 디바이스 확대는 플랫폼의 기능과 채택을 크게 뒷받침하고 있습니다. 정부와 기업은 스마트 인프라와 인더스트리 4.0 구상에 투자하고 있어 수요를 더욱 가속화시키고 있습니다. 게다가 AIoT 플랫폼은 공급망 효율 강화, 에너지 사용량 감시, 고객 체험 개인화에도 이용되고 있습니다. 기술 비용이 낮아지고 보안 기능이 향상됨에 따라 이러한 플랫폼은 보다 확장 가능하고 이용하기 쉬워져 각 분야에서 시장의 견조한 성장을 뒷받침하고 있습니다.

시장 성장 촉진요인

산업 운영에서의 예지 보전을 개선하는 사물 인공지능 플랫폼 채택 증가

주요 시장 과제

데이터 프라이버시 및 보안에 대한 우려가 보급 방해

주요 시장 동향

AIoT 플랫폼에서 인공지능과 엣지 컴퓨팅의 융합

목차

제1장 솔루션 개요

• 시장의 정의
• 시장 범위
  • 대상 시장
  • 조사 대상 연도
  • 주요 시장 세분화

제2장 조사 방법

제3장 주요 요약

제4장 고객의 목소리

제5장 세계의 AIoT 플랫폼 시장 전망

• 시장 규모 및 예측
  • 금액별
• 시장 점유율 및 예측
  • 제공 내용(솔루션, 서비스)
  • 업계별(은행, 금융서비스 및 보험(BFSI), 제조, 헬스케어, 에너지 및 유틸리티, 소매, 운송 및 물류, 기타)
  • 지역별(북미, 유럽, 남미, 중동 및 아프리카, 아시아태평양)
• 기업별(2024년)
• 시장 맵

제6장 북미의 AIoT 플랫폼 시장 전망

• 시장 규모 및 예측
• 시장 점유율 및 예측
• 북미 : 국가별 분석
  • 미국
  • 캐나다
  • 멕시코

제7장 유럽의 AIoT 플랫폼 시장 전망

• 시장 규모 및 예측
• 시장 점유율 및 예측
• 유럽 : 국가별 분석
  • 독일
  • 프랑스
  • 영국
  • 이탈리아
  • 스페인

제8장 아시아태평양의 AIoT 플랫폼 시장 전망

• 시장 규모 및 예측
• 시장 점유율 및 예측
• 아시아태평양 : 국가별 분석
  • 중국
  • 인도
  • 일본
  • 한국
  • 호주

제9장 중동 및 아프리카의 AIoT 플랫폼 시장 전망

• 시장 규모 및 예측
• 시장 점유율 및 예측
• 중동 및 아프리카 : 국가별 분석
  • 사우디아라비아
  • 아랍에미리트(UAE)
  • 남아프리카

제10장 남미의 AIoT 플랫폼 시장 전망

• 시장 규모 및 예측
• 시장 점유율 및 예측
• 남미 : 국가별 분석
  • 브라질
  • 콜롬비아
  • 아르헨티나

제11장 시장 역학

• 성장 촉진요인
• 과제

제12장 시장 동향 및 발전

• 합병 및 인수
• 제품 출시
• 최근 동향

제13장 기업 프로파일

• IBM Corporation
• Microsoft Corporation
• Google LLC
• Cisco Systems, Inc.
• Siemens AG
• Huawei Technologies Co., Ltd.
• Intel Corporation
• SAP SE

제14장 전략적 제안

제15장 기업 소개 및 면책사항

영문목차

The Global AIoT Platform Market was valued at USD 5.89 billion in 2024 and is projected to reach USD 32.29 billion by 2030, growing at a CAGR of 32.79%. This market encompasses the integration of artificial intelligence into IoT ecosystems to enable intelligent, real-time decision-making across various industries. AIoT platforms facilitate seamless data collection from connected devices and apply machine learning, edge computing, and real-time analytics to generate actionable insights. These capabilities help reduce operational costs, minimize downtime, and support automation. The expansion of connected devices, supported by 5G deployment and advanced edge infrastructure, is significantly boosting platform capabilities and adoption. Governments and enterprises are investing in smart infrastructure and Industry 4.0 initiatives, further accelerating demand. Additionally, AIoT platforms are being used to enhance supply chain efficiency, monitor energy usage, and personalize customer experiences. As technology costs decline and security features improve, these platforms are becoming more scalable and accessible, fueling robust market growth across sectors.

Key Market Drivers

Increasing Adoption of Artificial Intelligence of Things Platforms to Improve Predictive Maintenance in Industrial Operations

AIoT platforms are revolutionizing industrial maintenance by enabling predictive capabilities that prevent equipment failures and unplanned downtime. Through embedded sensors and real-time data analysis, organizations can monitor machinery health continuously and detect early signs of wear or malfunction. AI algorithms use historical and real-time data to forecast maintenance requirements, allowing for timely interventions and prolonged asset life. This shift from reactive to condition-based maintenance leads to improved productivity and operational efficiency in industries such as manufacturing, transportation, and energy. Remote monitoring enabled by AIoT also allows better oversight of facilities across wide geographic areas. With the ability to autonomously adjust operational parameters and issue alerts, AIoT systems reduce manual inspections and improve workplace safety. As companies seek to enhance their resilience and competitiveness, the implementation of AIoT-based predictive maintenance is becoming a strategic priority. For example, an automotive plant reported a 30% drop in unplanned downtime within the first year of deploying AIoT solutions.

Key Market Challenges

Data Privacy and Security Concerns Hindering Widespread Adoption

The large-scale integration of AIoT platforms brings with it substantial data security and privacy challenges. As connected devices generate and transmit vast amounts of data across networks and cloud environments, vulnerabilities to cyberattacks and data breaches increase. This is particularly critical in highly regulated sectors like healthcare, finance, and infrastructure, where breaches can cause severe damage. Compliance with international and regional data protection laws complicates implementation, especially in cross-border operations. The growing sophistication of cyber threats demands constant upgrades to detection systems, encryption protocols, and response strategies. Achieving a balance between system interoperability and robust security is a persistent hurdle. Moreover, uncertainty around data ownership and sovereignty discourages collaboration and slows innovation. Without unified standards and enhanced cybersecurity frameworks, these concerns may hinder the broader adoption and scalability of AIoT platforms across industries.

Key Market Trends

Convergence of Artificial Intelligence and Edge Computing in AIoT Platforms

The integration of AI with edge computing is a major trend reshaping the AIoT Platform Market. This convergence allows real-time data analysis at or near the source-within devices and sensors-reducing reliance on centralized cloud systems. Such low-latency processing is critical in applications like autonomous vehicles, industrial robotics, and smart urban infrastructure. Edge-based AI enhances responsiveness, improves security by limiting data transmission, and lowers bandwidth costs. As industries prioritize real-time decision-making and localized intelligence, hybrid AIoT architectures that combine edge and cloud computing are gaining traction. This trend is driving advancements in compact, high-performance hardware and efficient, lightweight AI algorithms tailored for edge environments. The growing demand for edge-enabled platforms is promoting innovation and scalability, positioning edge AI as a cornerstone of next-generation AIoT development.

Key Market Players

• IBM Corporation
• Microsoft Corporation
• Google LLC
• Cisco Systems, Inc.
• Siemens AG
• Huawei Technologies Co., Ltd.
• Intel Corporation
• SAP SE

Report Scope:

In this report, the Global AIoT Platform Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

AIoT Platform Market, By Offering:

• Solutions
• Services

AIoT Platform Market, By Vertical:

• BFSI
• Manufacturing
• Healthcare
• Energy & Utilities
• Retail
• Transportation & Logistics
• Others

AIoT Platform Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa
• South America
  • Brazil
  • Colombia
  • Argentina

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global AIoT Platform Market.

Available Customizations:

Global AIoT Platform Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Solution Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, and Trends

4. Voice of Customer

5. Global AIoT Platform Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Offering (Solutions, Services)
  • 5.2.2. By Vertical (BFSI, Manufacturing, Healthcare, Energy & Utilties, Retail, Transportation & Logistics, Others)
  • 5.2.3. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
• 5.3. By Company (2024)
• 5.4. Market Map

6. North America AIoT Platform Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Offering
  • 6.2.2. By Vertical
  • 6.2.3. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States AIoT Platform Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Offering
      • 6.3.1.2.2. By Vertical
  • 6.3.2. Canada AIoT Platform Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Offering
      • 6.3.2.2.2. By Vertical
  • 6.3.3. Mexico AIoT Platform Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Offering
      • 6.3.3.2.2. By Vertical

7. Europe AIoT Platform Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Offering
  • 7.2.2. By Vertical
  • 7.2.3. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany AIoT Platform Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Offering
      • 7.3.1.2.2. By Vertical
  • 7.3.2. France AIoT Platform Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Offering
      • 7.3.2.2.2. By Vertical
  • 7.3.3. United Kingdom AIoT Platform Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Offering
      • 7.3.3.2.2. By Vertical
  • 7.3.4. Italy AIoT Platform Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Offering
      • 7.3.4.2.2. By Vertical
  • 7.3.5. Spain AIoT Platform Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Offering
      • 7.3.5.2.2. By Vertical

8. Asia Pacific AIoT Platform Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Offering
  • 8.2.2. By Vertical
  • 8.2.3. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China AIoT Platform Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Offering
      • 8.3.1.2.2. By Vertical
  • 8.3.2. India AIoT Platform Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Offering
      • 8.3.2.2.2. By Vertical
  • 8.3.3. Japan AIoT Platform Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Offering
      • 8.3.3.2.2. By Vertical
  • 8.3.4. South Korea AIoT Platform Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Offering
      • 8.3.4.2.2. By Vertical
  • 8.3.5. Australia AIoT Platform Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Offering
      • 8.3.5.2.2. By Vertical

9. Middle East & Africa AIoT Platform Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Offering
  • 9.2.2. By Vertical
  • 9.2.3. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia AIoT Platform Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Offering
      • 9.3.1.2.2. By Vertical
  • 9.3.2. UAE AIoT Platform Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Offering
      • 9.3.2.2.2. By Vertical
  • 9.3.3. South Africa AIoT Platform Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Offering
      • 9.3.3.2.2. By Vertical

10. South America AIoT Platform Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Offering
  • 10.2.2. By Vertical
  • 10.2.3. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil AIoT Platform Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Offering
      • 10.3.1.2.2. By Vertical
  • 10.3.2. Colombia AIoT Platform Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Offering
      • 10.3.2.2.2. By Vertical
  • 10.3.3. Argentina AIoT Platform Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Offering
      • 10.3.3.2.2. By Vertical

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends and Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Company Profiles

• 13.1. IBM Corporation
  • 13.1.1. Business Overview
  • 13.1.2. Key Revenue and Financials
  • 13.1.3. Recent Developments
  • 13.1.4. Key Personnel
  • 13.1.5. Key Product/Services Offered
• 13.2. Microsoft Corporation
• 13.3. Google LLC
• 13.4. Cisco Systems, Inc.
• 13.5. Siemens AG
• 13.6. Huawei Technologies Co., Ltd.
• 13.7. Intel Corporation
• 13.8. SAP SE

14. Strategic Recommendations

15. About Us & Disclaimer