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 2023 through 2028.
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. For example, over 40% of the operational value of IoT is extracting and monetizing unstructured data
Select Report Findings:
- Real-time monitoring in healthcare will reach $13.4B by 2028
- Global data collection solutions market to reach $7.9B by 2028
- Improved operations in the retail sector will reach $3.7B by 2028
- Global IoT data support software market to reach $27.2B by 2028
- Global IoT data storage solutions market to reach $15.2B by 2028
- Leading industry verticals are healthcare, manufacturing and retail
- The Asia Pac region to lead the IoT data analytics market through 2028
Industrial IoT (IIoT) and enterprise IoT deployments in particular will generate a substantial amount of data, most of which will be of the unstructured variety, requiring next-generation data analytics tools and techniques. For example, manufacturing processes produce vast amounts of machine-generated data, most of which is unstructured and from disparate sources and formats.
Accordingly, there is a need for uniform data management processes and the use of big data analytics tools and techniques. While much of this data will be very useful for longer-term analytics, significant value will be realized from real-time processing such as centralized versus distributed manufacturing decisions.
It is important to recognize that intelligence within IoT networks is not inherent but rather must be carefully planned. IoT market elements will be found embedded within software programs, chipsets, and platforms as well as human-facing devices, which may rely upon a combination of local and cloud-based intelligence.
Just like the human nervous system, IoT networks will have both autonomic and cognitive functional components that provide intelligent control as well as nervous system-like end-points that provide signaling (detection and triggering of communications) and connectivity. Each of these system components are sources of potentially useful data, which must be analyzed to determine if useful information may be realized.
Select Companies in Report:
- Accenture
- AGT International
- Amdocs
- AppDirect, Inc.
- Bosch Software Innovations
- Capgemini
- Cisco Systems, Inc.
- General Electric
- Google Inc.
- Horadata
- Intel Corporation
- Interdigital
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- Lynx Software Technologies, Inc.
- Maana, Inc.
- Microsoft Corporation
- MongoDB Inc.
- Optiva (formerly RedKnee)
- PTC
- RIOT
- SAP SE
- Teradata Corporation
- Terbine
- Tilepay
- Wind River
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Table of Contents
1. Executive Summary
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 in 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 by 2028
- 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 2016 to 2025
- 3.6.8.1. IoT Data Landscape from 2020 to 2023
- 3.6.8.2. IoT Data Landscape from 2024 to 2026
- 3.6.8.3. IoT Data Landscape from 2027 and Beyond
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. AppDirect, Inc.
- 5.3. City Data Exchange
- 5.4. Horadata
- 5.5. Interdigital
- 5.6. Optiva (formerly RedKnee)
- 5.7. Terbine
- 5.8. Tilepay
6. Technologies Enabling IoT Data
- 6.1. Present Technologies are Not Suitable for IoT Data
- 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. Global IoT Data Market Analysis and Forecasts 2023-2028
- 7.1. Overall IoT Data Market Considerations and Outlook
- 7.1.1. Analytics for IoT Application Considerations
- 7.1.2. IoT Data Processing and Analysis Pilots to Predominate through 2028
- 7.2. Market Outlook and Forecasts for IoT Data 2023-2028
- 7.2.1. IoT Data by Region 2023-2028
- 7.2.2. IoT Data Analytics Service Opportunities
- 7.2.3. IoT Data Products 2023-2028
- 7.2.3.1. High Demand for Platforms Providing Full Stack IoT Data Functionality through 2028
- 7.2.3.2. Single Product Platforms for IoT Data poised for Rapid Growth
- 7.2.3.2.1. Deployment of Data Collection Solutions 2023-2028
- 7.2.3.2.2. Deployment of Data Storage 2023-2028
- 7.2.3.2.3. Deployment of Data Analytics 2023-2028
- 7.2.3.3. IoT Data Management Support Software a Major Growth Opportunity Area
- 7.2.4. Cloud vs. On-Premise IoT Data Platform Deployment 2023-2028
- 7.2.5. Streaming IoT Data Analytics Revenue 2023-2028
- 7.2.5.1. Global Streaming Data Analytics Revenue for IoT
- 7.2.5.1. Global Streaming IoT Data Analytics Revenue by App, Software, and Services
- 7.2.5.1. Global Streaming IoT Data Analytics Revenue in Industry Verticals
- 7.2.5.1.1. Streaming IoT Data Analytics Revenue in Retail
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Retail Segment
- 7.2.5.1.1.1. Streaming IoT Data Analytics Retail Revenue by App, Software, and Service
- 7.2.5.1.1. Streaming IoT Data Analytics Revenue in Telecom and IT
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Telecom and IT Segment
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Telecom & IT App, Software, and Service
- 7.2.5.1.1. Streaming IoT Data Analytics Revenue in Energy and Utility
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Energy and Utility Segment
- 7.2.5.1.1.1. Streaming IoT Data Analytics Energy and Utilities Revenue by App, Software, and Service
- 7.2.5.1.1. Streaming IoT Data Analytics Revenue in Government
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Government Segment
- 7.2.5.1.1.1. Streaming IoT Data Analytics Government Revenue by App, Software, and Service
- 7.2.5.1.1. Streaming IoT Data Analytics Revenue in Healthcare and Life Science
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Healthcare Segment
- 7.2.5.1.1.1. Streaming IoT Data Analytics Healthcare Revenue by App, Software, and Service
- 7.2.5.1.1. Streaming IoT Data Analytics Revenue in Manufacturing
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Manufacturing Segment
- 7.2.5.1.1.1. Streaming IoT Data Analytics Manufacturing Revenue by App, Software, and Service
- 7.2.5.1.1. Streaming IoT Data Analytics Revenue in Transportation & Logistics
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Transportation & Logistics Segment
- 7.2.5.1.1.1. Streaming IoT Data Analytics Transportation & Logistics Revenue by App, Software, and Service
- 7.2.5.1.1. Streaming IoT Data Analytics Revenue in Banking and Finance
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Banking and Finance Segment
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Banking & Finance App, Software, and Service
- 7.2.5.1.1. Streaming IoT Data Analytics Revenue in Smart Cities
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Smart City Segment
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Smart City App, Software, and Service
- 7.2.5.1.1. Streaming IoT Data Analytics Revenue in Automotive
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Automobile Industry Segment
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Automotive Industry App, Software, and Service
- 7.2.5.1.1. Streaming IoT Data Analytics Revenue in Education
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Education Industry Segment
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Education Industry App, Software, and Service
- 7.2.5.1.1. Streaming IoT Data Analytics Revenue in Outsourcing Services
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Outsourcing Segment
- 7.2.5.1.1.1. Streaming IoT Data Analytics Revenue by Outsourcing Industry App, Software, and Service
- 7.2.5.1. Streaming IoT Data Analytics Revenue by Leading Vendor Platform
- 7.2.6. Global IoT Data by Industry Sector 2023-2028
- 7.2.6.1. Healthcare Sector IoT Data 2023-2028
- 7.2.6.2. Retail Sector in IoT Data 2023-2028
- 7.2.6.3. Manufacturing and Industrial Automation and IoT Data 2023-2028
- 7.2.6.4. HVAC Industry in IoT Data 2023-2028
- 7.2.6.5. Oil & Cargo Industry in IoT 2023-2028
- 7.2.6.6. Transport & Cargo Industry in IoT Data 2023-2028
- 7.2.6.7. Utility Industry in IoT Data 2023-2028
- 7.2.6.8. Consumer Electronics Industry in IoT Data 2023-2028
- 7.2.7. IoT Data as a Service 2023-2028
- 7.3. IoT Data Infrastructure ROI Assessment
- 7.3.1. Factors Determining ROI for IoT
- 7.3.2. ROI for IoT Investments by Industrial Sector
- 7.3.2.1. ROI Assessment for IoT Data in the Retail Sector
- 7.3.2.2. ROI Assessment for IoT Data in the Healthcare Sector
8. Vendor Analysis
- 8.1. Key Vendor Trends in IoT Data
- 8.2. Large Companies to Lead through M&A and Partnerships
- 8.2.1. Early Beneficiaries: Established Companies in Analytics and Cloud Services
- 8.2.2. Flexible and Scalable Revenue Model will be Most Successful
- 8.3. Select Company Analysis
- 8.3.1. Recent Development of Major Players
- 8.3.2. Accenture
- 8.3.3. AGT International
- 8.3.4. Bosch Software Innovations
- 8.3.5. Capgemini
- 8.3.6. Cisco Systems, Inc.
- 8.3.7. GE Digital
- 8.3.8. Google
- 8.3.9. Intel Corporation
- 8.3.10. Lynx Software Technologies, Inc.
- 8.3.11. Maana, Inc.
- 8.3.12. Microsoft Corporation
- 8.3.13. MongoDB Inc.
- 8.3.14. ParStream (Cisco)
- 8.3.15. PTC
- 8.3.16. RIOT
- 8.3.17. SAP SE
- 8.3.18. SQLstream, Inc. (Guavus)
- 8.3.19. Tellient
- 8.3.20. Teradata Corporation
- 8.3.21. Wind River
9. IoT Data Management and Analytics Market Benefits, Capabilities, and Case Studies
- 9.1. IoT Data Analytics Solutions Benefits
- 9.2. Key Capabilities for Data Management in IoT
- 9.3. IoT Data Analytics Case Studies
- 9.3.1. AWS IoT Case Study
- 9.3.2. Predictive Analytics for Supply Chain Management
- 9.3.3. American Instrumentation implements Azure-based IoT Solution
- 9.3.4. IoT-Commercial Real Estate Management
10. Conclusions and Recommendations
11. Appendix
- 11.1. Global Streaming IoT Data Analytics 2023-2028
- 11.2. Regional Streaming IoT Data Analytics 2023-2028
- 11.2.1. Regional Streaming IoT Data Highlights
- 11.2.2. Asia Pacific Market 2023-2028
- 11.2.3. Europe Market 2023-2028
- 11.2.4. North America Market 2023-2028
- 11.2.5. Latin America Market 2023-2028
- 11.2.6. Middle East and Africa Market 2023-2028
- 11.3. Streaming IoT Data Analytics by Country 2023-2028
- 11.3.1. Streaming IoT Data in Asia Pacific Countries 2023-2028
- 11.3.1.1. Leading Asia Pac Countries
- 11.3.1.2. Japan Market 2023-2028
- 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 2023-2028
- 11.3.2.1. Leading European Countries
- 11.3.2.2. Germany Market Revenue
- 11.3.2.3. UK Market Revenue
- 11.3.2.4. France Market Revenue
- 11.3.3. Streaming IoT Data in North America Countries 2023-2028
- 11.3.3.1. Leading North American Countries
- 11.3.3.2. US Market Revenue
- 11.3.3.3. Canada Market Revenue
- 11.3.4. Streaming IoT Data in Latin America Countries 2023-2028
- 11.3.4.1. Leading Latin American Countries
- 11.3.4.2. Brazil Market Revenue
- 11.3.4.3. Mexico Market Revenue
- 11.3.5. Streaming IoT Data in the Middle East and Africa Countries 2023-2028
- 11.3.5.1. Leading Middle East and Africa Countries
- 11.3.5.2. South Africa Market Revenue
- 11.3.5.3. UAE Market Revenue