세계의 IoT 데이터 관리 시장 : 산업 규모, 점유율, 동향, 기회, 예측 - 컴포넌트별, 전개별, 용도별, 지역별, 경쟁(2020-2030년)
IoT Data Management Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, By Component, By Deployment, By Application, By Region, By Competition 2020-2030F
상품코드:1763950
리서치사:TechSci Research
발행일:2025년 06월
페이지 정보:영문 185 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
세계의 IoT 데이터 관리 시장 규모는 2024년에 841억 3,000만 달러로 평가되었고, 2030년에는 1,648억 8,000만 달러에 이를 것으로 예측되며, 예측 기간 중 CAGR은 11.87%로 성장할 것으로 예측됩니다.
이 시장에는 인터넷에 연결된 장비에 의해 생성된 데이터를 관리하기 위한 플랫폼, 툴, 서비스가 포함되어 있습니다. 스마트 미터, 산업용 센서, 건강 모니터, 커넥티드 카 등 이러한 장치는 방대한 양의 실시간 구조화 데이터 및 비구조화 데이터를 생성합니다. IoT 데이터 관리 솔루션은 기업이 이러한 데이터를 효율적으로 수집, 클렌징, 저장, 보호하면서 분석에 접근할 수 있도록 합니다. 이 기능을 통해 업무 가시성을 높이고 정보에 기반한 의사결정을 지원하며 개인화된 서비스 제공을 가능하게 합니다. 또한 클라우드 및 에지 컴퓨팅 인프라와의 통합으로 확장 가능하고 분산된 데이터 처리가 가능해 응답성과 민첩성이 더욱 강화됩니다.
시장 개요
예측 기간
2026-2030년
시장 규모(2024년)
841억 3,000만 달러
시장 규모(2030년)
1,648억 8,000만 달러
CAGR(2025-2030년)
11.87%
급성장 부문
스마트 에너지 및 유틸리티
최대 시장
북미
시장 성장 촉진요인
커넥티드 디바이스의 폭발적 증가 및 엣지 인프라 확대
주요 시장 과제
단편화된 생태계 간 데이터 상호 운용성
주요 시장 동향
IoT 데이터 관리와 인공지능 및 머신러닝의 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 IoT 데이터 관리 시장 전망
시장 규모 및 예측
금액별
시장 점유율 및 예측
컴포넌트별(솔루션, 서비스)
전개별(온프레미스, 클라우드)
용도별(스마트 에너지 및 유틸리티, 스마트 제조, 스마트 헬스케어, 스마트 소매, 스마트 모빌리티 및 운송, 빌딩 및 홈 오토메이션, 커넥티드 물류 등)
지역별(북미, 유럽, 남미, 중동 및 아프리카, 아시아태평양)
기업별(2024년)
시장 맵
제6장 북미의 IoT 데이터 관리 시장 전망
시장 규모 및 예측
시장 점유율 및 예측
북미 : 국가별 분석
미국
캐나다
멕시코
제7장 유럽의 IoT 데이터 관리 시장 전망
시장 규모 및 예측
시장 점유율 및 예측
유럽 : 국가별 분석
독일
프랑스
영국
이탈리아
스페인
제8장 아시아태평양의 IoT 데이터 관리 시장 전망
시장 규모 및 예측
시장 점유율 및 예측
아시아태평양 : 국가별 분석
중국
인도
일본
한국
호주
제9장 중동 및 아프리카의 IoT 데이터 관리 시장 전망
시장 규모 및 예측
시장 점유율 및 예측
중동 및 아프리카 : 국가별 분석
사우디아라비아
아랍에미리트(UAE)
남아프리카
제10장 남미의 IoT 데이터 관리 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
Oracle Corporation
Amazon.com, Inc.
SAP SE
Cisco Systems, Inc.
Google LLC
Hewlett Packard Enterprise Company
제14장 전략적 제안
제15장 기업 소개 및 면책사항
AJY
영문 목차
영문목차
The Global IoT Data Management Market was valued at USD 84.13 billion in 2024 and is projected to reach USD 164.88 billion by 2030, expanding at a CAGR of 11.87% during the forecast period. This market encompasses the platforms, tools, and services used to manage data generated by Internet-connected devices. These devices-including smart meters, industrial sensors, health monitors, and connected vehicles-generate vast volumes of real-time structured and unstructured data. IoT data management solutions help organizations efficiently collect, cleanse, store, and secure this data while making it accessible for analysis. This capability enhances operational visibility, supports informed decision-making, and enables the delivery of personalized services. Additionally, integration with cloud and edge computing infrastructures allows for scalable, decentralized data processing, further strengthening responsiveness and agility.
Market Overview
Forecast Period
2026-2030
Market Size 2024
USD 84.13 Billion
Market Size 2030
USD 164.88 Billion
CAGR 2025-2030
11.87%
Fastest Growing Segment
Smart Energy and Utilities
Largest Market
North America
Key Market Drivers
Explosion of Connected Devices and Edge Infrastructure Expansion
The exponential rise in connected devices is a major factor fueling the growth of the Global IoT Data Management Market. Billions of smart sensors, wearables, industrial systems, and consumer electronics now generate continuous streams of high-frequency, context-aware data. Real-time data management has become critical for sectors such as energy, automotive, agriculture, and retail, where robust systems are needed to capture, clean, store, and integrate this information into everyday operations. Edge computing has gained prominence by enabling data to be processed closer to its origin, minimizing reliance on centralized cloud infrastructure. This reduces latency, improves data privacy, and supports immediate decision-making in critical scenarios. As edge computing capabilities evolve, enterprises increasingly seek IoT data management platforms that support decentralized architectures while retaining centralized control and analytics. By mid-2025, the global infrastructure supported over 19.5 billion active IoT devices, with approximately 7 billion built for edge computing environments. This shift indicates that nearly 36% of all IoT data is now processed locally-highlighting the growing preference for decentralized data management frameworks.
Key Market Challenges
Data Interoperability Across Fragmented Ecosystems
One of the core challenges impacting the Global IoT Data Management Market is the lack of interoperability across a fragmented landscape of technologies. The IoT environment includes a vast array of devices, platforms, protocols, and vendors-each with unique data formats and integration processes. From legacy equipment in industrial settings to modern 5G-enabled sensors, the absence of common standards significantly hinders seamless data flow and unified analytics. This fragmentation complicates efforts to consolidate data from diverse sources. For instance, in a manufacturing plant using various vendors across production and maintenance, the lack of uniform integration methods can make centralizing insights time-consuming and expensive. Without cohesive standards, enterprises struggle to derive actionable intelligence from IoT investments, leading to inefficiencies in operations and decision-making.
Key Market Trends
Convergence of IoT Data Management with Artificial Intelligence and Machine Learning
A prominent trend reshaping the Global IoT Data Management Market is the integration of artificial intelligence (AI) and machine learning (ML) into IoT platforms. Businesses are increasingly focused on transforming raw IoT data into intelligent, real-time insights that support autonomous decision-making. To meet this need, modern IoT data management systems are being embedded with ML algorithms, anomaly detection models, and predictive analytics engines. This allows companies to automate processes and anticipate issues before they occur. The effectiveness of AI depends on the quality and timeliness of data; hence, IoT platforms are being redesigned to facilitate automated data labeling, real-time edge inference, and continuous learning loops. This trend is particularly transformative in industries like smart manufacturing, logistics, and energy, where optimized scheduling, predictive maintenance, and fault detection rely heavily on the seamless fusion of IoT data and AI capabilities.
Key Market Players
IBM Corporation
Microsoft Corporation
Oracle Corporation
Amazon.com, Inc.
SAP SE
Cisco Systems, Inc.
Google LLC
Hewlett Packard Enterprise Company
Report Scope:
In this report, the Global IoT Data Management Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
IoT Data Management Market, By Component:
Solutions
Services
IoT Data Management Market, By Deployment:
On-premises
Cloud
IoT Data Management Market, By Application:
Smart Energy and Utilities
Smart Manufacturing
Smart Healthcare
Smart Retail
Smart Mobility and Transportation
Building and Home Automation
Connected Logistics
Others
IoT Data Management 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 IoT Data Management Market.
Available Customizations:
Global IoT Data Management Market report with the given market data, Tech Sci 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 IoT Data Management Market Outlook
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Component (Solutions, Services)
5.2.2. By Deployment (On-premises, Cloud)
5.2.3. By Application (Smart Energy and Utilities, Smart Manufacturing, Smart Healthcare, Smart Retail, Smart Mobility and Transportation, Building and Home Automation, Connected Logistics, Others)
5.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
5.3. By Company (2024)
5.4. Market Map
6. North America IoT Data Management Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Component
6.2.2. By Deployment
6.2.3. By Application
6.2.4. By Country
6.3. North America: Country Analysis
6.3.1. United States IoT Data Management 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 Component
6.3.1.2.2. By Deployment
6.3.1.2.3. By Application
6.3.2. Canada IoT Data Management 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 Component
6.3.2.2.2. By Deployment
6.3.2.2.3. By Application
6.3.3. Mexico IoT Data Management 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 Component
6.3.3.2.2. By Deployment
6.3.3.2.3. By Application
7. Europe IoT Data Management Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Component
7.2.2. By Deployment
7.2.3. By Application
7.2.4. By Country
7.3. Europe: Country Analysis
7.3.1. Germany IoT Data Management 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 Component
7.3.1.2.2. By Deployment
7.3.1.2.3. By Application
7.3.2. France IoT Data Management 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 Component
7.3.2.2.2. By Deployment
7.3.2.2.3. By Application
7.3.3. United Kingdom IoT Data Management 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 Component
7.3.3.2.2. By Deployment
7.3.3.2.3. By Application
7.3.4. Italy IoT Data Management 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 Component
7.3.4.2.2. By Deployment
7.3.4.2.3. By Application
7.3.5. Spain IoT Data Management 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 Component
7.3.5.2.2. By Deployment
7.3.5.2.3. By Application
8. Asia Pacific IoT Data Management Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Component
8.2.2. By Deployment
8.2.3. By Application
8.2.4. By Country
8.3. Asia Pacific: Country Analysis
8.3.1. China IoT Data Management 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 Component
8.3.1.2.2. By Deployment
8.3.1.2.3. By Application
8.3.2. India IoT Data Management 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 Component
8.3.2.2.2. By Deployment
8.3.2.2.3. By Application
8.3.3. Japan IoT Data Management 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 Component
8.3.3.2.2. By Deployment
8.3.3.2.3. By Application
8.3.4. South Korea IoT Data Management 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 Component
8.3.4.2.2. By Deployment
8.3.4.2.3. By Application
8.3.5. Australia IoT Data Management 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 Component
8.3.5.2.2. By Deployment
8.3.5.2.3. By Application
9. Middle East & Africa IoT Data Management Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Component
9.2.2. By Deployment
9.2.3. By Application
9.2.4. By Country
9.3. Middle East & Africa: Country Analysis
9.3.1. Saudi Arabia IoT Data Management 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 Component
9.3.1.2.2. By Deployment
9.3.1.2.3. By Application
9.3.2. UAE IoT Data Management 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 Component
9.3.2.2.2. By Deployment
9.3.2.2.3. By Application
9.3.3. South Africa IoT Data Management 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 Component
9.3.3.2.2. By Deployment
9.3.3.2.3. By Application
10. South America IoT Data Management Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Component
10.2.2. By Deployment
10.2.3. By Application
10.2.4. By Country
10.3. South America: Country Analysis
10.3.1. Brazil IoT Data Management 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 Component
10.3.1.2.2. By Deployment
10.3.1.2.3. By Application
10.3.2. Colombia IoT Data Management 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 Component
10.3.2.2.2. By Deployment
10.3.2.2.3. By Application
10.3.3. Argentina IoT Data Management Market Outlook
