IoT 데이터 관리 및 분석 시장 - 기술, 인프라, 전개 모델(클라우드 vs 프레미스), 솔루션, 용도, 서비스별(2025-2030년)

Overview:

This report evaluates the market for IoT data management and analytics. The report analyzes key challenges and opportunities such as managing IoT data based on ownership, care of custody, and usage rights.

It assesses the opportunity for IoT data as a service and IoT-driven decisions as a service. It includes forecasts by technology, infrastructure, applications and services for both static and real-time data from 2025 through 2030.

The report also evaluates substantial market opportunities involving IoT data collection, storage, analytics and visualization. It identifies how real-time, streaming data IoT business data becomes highly valuable when it can be put into context and processes as it will facilitate completely new product and service offerings.

The Internet of Things and the IoT Data Market

The Internet of Things (IoT) is much more than the sum of its parts. Powered by IoT technology market solutions, IoT applications rely upon an ecosystem of hardware, software, and services. IoT systems are envisioned to evolve in a way they become more like the human nervous system with interconnecting pathways that provide vital data for decision making.

Unlike humans, however, IoT intelligence may be engineered to be present and active at various portions of a given network or system. Accordingly, design and implementation decisions involving edge computing, AI, and cognition are very important for the long-term success of IoT. A growing area of opportunity resides in the convergence of cloud computing, mobile edge computing, cognitive networking, data analytics, and embedded AI algorithms.

AI coupled with advanced big data analytics provides the ability to make raw data meaningful and useful as information for decision-making purposes. The use of AI for decision making in IoT and data analytics will be crucial for efficient and effective decision making, especially in streaming data and real-time analytics associated with edge computing networks.

Real-time data is a key value proposition for all use cases, segments, and solutions. The ability to capture streaming data, determine valuable attributes, and make decisions in real-time will add an entirely new dimension to service logic. In many cases, the data itself, and actionable information will be the service.

Table of Contents

1. Executive Summary

• 1.1. Research Background
• 1.2. Research Scope
• 1.3. Target Audience
• 1.4. Select Companies Covered

2. IoT Data Management and Analytics Market Overview

• 2.1. IoT Data Management and Analytics Market Ecosystem
• 2.2. Overall IoT Data Management and Analytics Market Opportunity
• 2.3. Regional IoT Data Management and Analytics Market Outlook

3. Introduction to IoT Data Management and Analytics

• 3.1. IoT Data in the Emerging Data Economy
  • 3.1.1. IoT Data Strategy
  • 3.1.2. IoT and the Analytics of Things
  • 3.1.3. Specific Strategic Considerations
    • 3.1.3.1. Focus on Data Tiers
    • 3.1.3.2. Maintain a Value-based Approach
    • 3.1.3.3. Foster an Open Development Environment
• 3.2. Unique IoT Data Management Requirements
  • 3.2.1. IoT Structured and Unstructured Data
  • 3.2.2. Key IoT Data Characteristics
    • 3.2.2.1. IoT Data is Real Time
    • 3.2.2.2. Massive Volumes of IoT Data
    • 3.2.2.3. IoT Data Generates Useful Insights
• 3.3. IoT Data Management Operations
  • 3.3.1. Basic Data Implementation and Operational Challenges
    • 3.3.1.1. IoT Data Scalability
    • 3.3.1.2. IoT Data Integration
  • 3.3.2. Data Management and Processing Raw Data
  • 3.3.3. Centralized Storage and Decentralized Processing
  • 3.3.4. Accessing and Exchanging IoT Data via APIs
  • 3.3.5. Data Security and Personal Information Privacy
• 3.4. Monetizing IoT Data and Analytics
  • 3.4.1. IoT Data vs. IoT Data Analytics
    • 3.4.1.1. IoT Data
    • 3.4.1.2. IoT Data Analytics
  • 3.4.2. Key IoT Data Management Monetization Issues
    • 3.4.2.1. IoT Data Ownership
    • 3.4.2.2. IoT Data Care of Custody
  • 3.4.3. Direct vs. Indirect Monetization
  • 3.4.4. Internal vs. External Enterprise IoT Data Monetization
    • 3.4.4.1. Enterprise Data and Analytics: Internal Monetization
    • 3.4.4.2. Enterprise Data and Analytics: External Monetization
  • 3.4.5. Public Data Monetization
  • 3.4.6. Hybrid IoT Monetization
  • 3.4.7. IoT Data Management and Analytics Monetization
    • 3.4.7.1. IoT Data as a Service
    • 3.4.7.2. IoT Data Analytics as a Service
    • 3.4.7.3. Decisions as a Service
• 3.5. IoT Data Operational Requirements
  • 3.5.1. IoT OSS and BSS
    • 3.5.1.1. IoT Operational Support Systems
    • 3.5.1.2. IoT Billing Support Systems
  • 3.5.2. IoT Mediation and Orchestration
    • 3.5.2.1. IoT Mediation and Orchestration Functionality
      • 3.5.2.1.1. IoT Mediation and Orchestration: Virtualization
      • 3.5.2.1.2. IoT Mediation and Orchestration: Identity Management
      • 3.5.2.1.3. Emerging Technologies for IoT Mediation and Orchestration
    • 3.5.2.2. IoT Mediation and Orchestration in Support of Industry Verticals
    • 3.5.2.3. Communication Service Provider Role in IoT Mediation and Orchestration Ecosystem
    • 3.5.2.4. IoT Mediation and Orchestration Roadmap
• 3.6. Market Outlook for IoT Data Analytics
  • 3.6.1. IoT Data Management is a Ubiquitous Opportunity across Enterprise
  • 3.6.2. IoT Data becomes a Big Revenue Opportunity
  • 3.6.3. Organizations increasing Adopt Predictive Analytics with IoT Data
  • 3.6.4. Real-time Streaming IoT Data Analytics becoming a Substantial Business Opportunity
  • 3.6.5. Intelligent Strategy and Smart Investment in IoT Data Analytics
  • 3.6.6. IoT Data to Produce Substantial Operational Savings and Generate New Business
  • 3.6.7. Tools Designed Specifically for IoT Data Management and Analytics
  • 3.6.8. IoT Data Management and Analytics Roadmap
    • 3.6.8.1. Early IoT Data Landscape
    • 3.6.8.2. Mid-Range IoT Data Landscape
    • 3.6.8.3. Longer-Term IoT Data Landscape

4. IoT Data Management and Analytics Market Dynamics

• 4.1. IoT Data Management Drivers
• 4.2. IoT Data Management Challenges

5. IoT Data Platform Providers

• 5.1. Amdocs
• 5.2. AppCarousel
• 5.3. City Data Exchange
• 5.4. Horadata
• 5.5. Interdigital
• 5.6. RedKnee
• 5.7. Terbine
• 5.8. Tilepay

6. Technologies Enabling IoT Data

• 6.1. Current Challenges with IoT Data Solutions
  • 6.1.1. Enhanced Tools Needed for Machine Generated Data in IoT
  • 6.1.2. Advantages and Limitations of Hadoop in IoT Data
• 6.2. Technologies Specially Developed for IoT Data
  • 6.2.1. Emerging Unified Logging Layer Approach
  • 6.2.2. Data Formatting for IoT Devices
  • 6.2.3. Leading IoT Protocols
    • 6.2.3.1. OASIS MQTT Ver. 3.1.1 Emerging as Fundamental Enabler for IoT Applications
    • 6.2.3.2. XMPP Increases its Suitability for IoT
    • 6.2.3.3. AMQP Provides Rich Capabilities for Distributed Systems
    • 6.2.3.4. DDS enables IoT Network Interoperability
  • 6.2.4. Analytics Platforms and Cloud based Data Storage for IoT Data
    • 6.2.4.1. Cloud based Analytics Platforms for IoT
    • 6.2.4.2. Cloud-Based Data Storage Service and Management Toolsets
    • 6.2.4.3. BDP Solutions for IoT Data Analysis
    • 6.2.4.4. Framework and Platforms for Computing and Analyzing Edge Data
    • 6.2.4.5. Predictivity Solutions and Platforms
    • 6.2.4.6. Cloud based Analytics Systems for IoT
    • 6.2.4.7. IoT Data and Analytics Database Systems
    • 6.2.4.8. IoT Data Analytics Platforms and Services

7. Vendor Analysis

• 7.1. Key Vendor Trends in IoT Data
• 7.2. Large Companies to Lead through M&A and Partnerships
  • 7.2.1. Early Beneficiaries: Established Companies in Analytics and Cloud Services
  • 7.2.2. Flexible and Scalable Revenue Model will be Most Successful
• 7.3. Select Company Analysis
  • 7.3.1. Recent Development of Major Players
  • 7.3.2. Accenture
  • 7.3.3. AGT International
  • 7.3.4. Bosch Software Innovations
  • 7.3.5. Capgemini
  • 7.3.6. Cisco Systems, Inc.
  • 7.3.7. GE Digital
  • 7.3.8. Google
  • 7.3.9. Intel Corporation
  • 7.3.10. Lynx Software Technologies, Inc.
  • 7.3.11. Maana, Inc.
  • 7.3.12. Microsoft Corporation
  • 7.3.13. MongoDB Inc.
  • 7.3.14. ParStream (ParStream Cisco)
  • 7.3.15. PTC
  • 7.3.16. RIOT
  • 7.3.17. SAP SE
  • 7.3.18. SQLstream, Inc.
  • 7.3.19. Tellient
  • 7.3.20. Teradata Corporation
  • 7.3.21. Wind River

8. IoT Data Management and Analytics Market Benefits, Capabilities, and Case Studies

• 8.1. IoT Data Analytics Solutions Benefits
• 8.2. Key Capabilities for Data Management in IoT
• 8.3. IoT Data Analytics Case Studies
  • 8.3.1. AWS IoT Case Study
  • 8.3.2. Predictive Analytics for Supply Chain Management
  • 8.3.3. American Instrumentation implements Azure-based IoT Solution
  • 8.3.4. IoT-Commercial Real Estate Management

9. Conclusions and Recommendations

10. Global IoT Data Management Platforms and Tools Market Analysis and Forecasts 2025 - 2030

• 10.1. Overall IoT Data Management Platforms and Tools Market Considerations and Outlook
  • 10.1.1. Analytics for IoT Application Considerations
  • 10.1.2. IoT Data Processing and Analysis Pilots to Predominate through 2030
• 10.2. Market Outlook and Forecasts for IoT Data Management Platforms and Tools 2025 - 2030
  • 10.2.1. IoT Data Management Platforms and Tools Markets by Region 2025 - 2030
  • 10.2.2. IoT Data Analytics Service Opportunities
  • 10.2.3. IoT Data Management Products 2025 - 2030
    • 10.2.3.1. High Demand for Platforms Providing Full Stack IoT Data Functionality through 2028
    • 10.2.3.2. Single Product Platforms for IoT Data poised for Rapid Growth
      • 10.2.3.2.1. Deployment of Data Collection Solutions 2025 - 2030
      • 10.2.3.2.2. Deployment of Data Storage 2025 - 2030
      • 10.2.3.2.3. Deployment of Data Analytics 2025 - 2030
    • 10.2.3.3. IoT Data Management Support Software a Major Growth Opportunity Area
  • 10.2.4. Cloud vs. On-Premise IoT Data Platform Deployment 2025 - 2030
  • 10.2.5. IoT Data Streaming Analytics Solutions Markets 2025 - 2030
    • 10.2.5.1. Global Data Streaming Analytics Revenue for IoT
    • 10.2.5.1. Global IoT Data Streaming Analytics Solutions by Type
    • 10.2.5.1. Global IoT Data Streaming Analytics Solution Markets by Industry Verticals
      • 10.2.5.1.1. IoT Data Streaming Analytics Solutions in the Retail Industry
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions by Segment in the Retail Industry
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solution by Type in Retail Industry
      • 10.2.5.1.2. IoT Data Streaming Analytics Solutions in the Telecom and IT Industry
        • 10.2.5.1.2.1. IoT Data Streaming Analytics Solutions by Segment in the Telecom and IT Industry
        • 10.2.5.1.2.1. IoT Data Streaming Analytics Solutions by Type in Telecom & IT Industry
      • 10.2.5.1.1. IoT Data Streaming Analytics Solutions in Energy and Utility
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions in Energy and Utility
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions by type in Energy and Utilities
      • 10.2.5.1.1. IoT Data Streaming Analytics Solutions in Government
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions by Segment in Government
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions in Government by Type
      • 10.2.5.1.1. IoT Data Streaming Analytics Solutions in Healthcare and Life Science
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions in Healthcare Segment
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions by Type Healthcare & Life Sciences
      • 10.2.5.1.1. IoT Data Streaming Analytics Solutions in Manufacturing
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions by Manufacturing Segment
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions in Manufacturing by Type
      • 10.2.5.1.1. IoT Data Streaming Analytics Solutions in Transportation & Logistics
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions by Transportation & Logistics Segment
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions in Transportation & Logistics by Type
      • 10.2.5.1.1. IoT Data Streaming Analytics Solutions in Banking and Finance
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions by Banking and Finance Segment
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions by Type in Banking & Finance
      • 10.2.5.1.1. IoT Data Analytics Streaming Solutions in Smart Cities
        • 10.2.5.1.1.1. IoT Data Analytics Streaming Solutions by Smart City Segment
        • 10.2.5.1.1.1. Smart City IoT Data Streaming Analytics Solutions by Type
      • 10.2.5.1.1. IoT Data Streaming Analytics Solutions in Automotive
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions in the Automobile Industry by Segment
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions by Type in the Automotive Industry
      • 10.2.5.1.1. IoT Data Streaming Analytics Solutions in Education
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions by Education Industry Segment
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions by Type in Education Industry
      • 10.2.5.1.1. IoT Data Analytics Streaming Solutions in Outsourcing Services
        • 10.2.5.1.1.1. IoT Data Analytics Streaming Solutions by Segment in the Outsourcing Services Industry
        • 10.2.5.1.1.1. IoT Data Streaming Analytics Solutions by Type in Outsourcing Services Industry
    • 10.2.5.1. IoT Data Streaming Analytics Solutions by Leading Vendor Platform
  • 10.2.6. Global IoT Data Management Solutions Market by Industry Sector 2025 - 2030
    • 10.2.6.1. Healthcare Sector Markets for IoT Data Management Solutions 2025 - 2030
    • 10.2.6.2. Retail Sector for IoT Data Management Solutions Market 2025 - 2030
    • 10.2.6.3. Manufacturing and Industrial Automation and IoT Data Management Solutions Market 2025 - 2030
    • 10.2.6.4. IoT Data Management Solutions Market for HVAC Industry 2025 - 2030
    • 10.2.6.5. IoT Data Management Solutions market for Oil & Gas Industry 2025 - 2030
    • 10.2.6.6. IoT Data Management Solutions Market for Transport & Cargo Industry in 2025 - 2030
    • 10.2.6.7. IoT Data Management Solutions market for Utility Industry 2025 - 2030
    • 10.2.6.8. IoT Data Management Solutions Market for Consumer Electronics Industry in 2025 - 2030
  • 10.2.7. IoT Data as a Service 2025 - 2030
• 10.3. IoT Data Infrastructure ROI Assessment
  • 10.3.1. Factors Determining ROI for IoT
  • 10.3.2. ROI for IoT Investments by Industrial Sector
    • 10.3.2.1. ROI Assessment for IoT Data in the Retail Sector
    • 10.3.2.2. ROI Assessment for IoT Data in the Healthcare Sector

11. Appendix

• 11.1. Global Streaming IoT Data Analytics 2025 - 2030
• 11.2. Regional Streaming IoT Data Analytics 2025 - 2030
  • 11.2.1. Regional Streaming IoT Data Highlights
  • 11.2.2. Asia Pacific Market 2025 - 2030
  • 11.2.3. Europe Market 2025 - 2030
  • 11.2.4. North America Market 2025 - 2030
  • 11.2.5. Latin America Market 2025 - 2030
  • 11.2.6. Middle East and Africa Market 2025 - 2030
• 11.3. Streaming IoT Data Analytics by Country 2025 - 2030
  • 11.3.1. Streaming IoT Data in Asia Pacific Countries 2025 - 2030
    • 11.3.1.1. Leading Asia Pac Countries
    • 11.3.1.2. Japan Market 2025 - 2030
    • 11.3.1.3. China Market Revenue
    • 11.3.1.4. India Market Revenue
    • 11.3.1.5. Australia Market Revenue
  • 11.3.2. Streaming IoT Data in Europe Countries 2025 - 2030
    • 11.3.2.1. Leading European Countries
    • 11.3.2.2. Germany Market Revenue
    • 11.3.2.3. UK Market Revenue
• 11.4. Streaming IoT Data in North American Countries 2025 - 2030
  • 11.4.1. Leading North American Countries
    • 11.4.1.1. US Market Revenue
    • 11.4.1.2. Canada Market Revenue
  • 11.4.2. Streaming IoT Data in Latin America Countries 2025 - 2030
    • 11.4.2.1. Leading Latin American Countries
    • 11.4.2.2. Brazil Market Revenue
    • 11.4.2.3. Mexico Market Revenue
  • 11.4.3. Streaming IoT Data in Middle East and Africa Countries 2025 - 2030
    • 11.4.3.1. Leading Middle East and Africa Countries
    • 11.4.3.2. South Africa Market Revenue
    • 11.4.3.3. UAE Market Revenue