Chapter 1. Open-source IoT Data Infrastructure Market – Scope & Methodology
1.1 Market Segmentation
1.2 Scope, Assumptions & Limitations
1.3 Research Methodology
1.4 Primary Sources
1.5 Secondary Sources
Chapter 2. Open-source IoT Data Infrastructure Market – Executive Summary
2.1 Market Size & Forecast – (2023 – 2030) ($M/$Bn)
2.2 Key Trends & Insights
2.2.1 Demand Side
2.2.2 Supply Side
2.3 Attractive Investment Propositions
2.4 COVID-19 Impact Analysis
Chapter 3. Open-source IoT Data Infrastructure Market – Competition Scenario
3.1 Market Share Analysis & Company Benchmarking
3.2 Competitive Strategy & Development Scenario
3.3 Competitive Pricing Analysis
3.4 Supplier-Distributor Analysis
Chapter 4. Open-source IoT Data Infrastructure Market - Entry Scenario
4.1 Regulatory Scenario
4.2 Case Studies – Key Start-ups
4.3 Customer Analysis
4.4 PESTLE Analysis
4.5 Porters Five Force Model
4.5.1 Bargaining Power of Suppliers
4.5.2 Bargaining Powers of Customers
4.5.3 Threat of New Entrants
4.5.4 Rivalry among Existing Players
4.5.5 Threat of Substitutes
Chapter 5. Open-source IoT Data Infrastructure Market – Landscape
5.1 Value Chain Analysis – Key Stakeholders Impact Analysis
5.2 Market Drivers
5.3 Market Restraints/Challenges
5.4 Market Opportunities
Chapter 6. Open-source IoT Data Infrastructure Market – By Application
6.1 Introduction/Key Findings
6.2 Industrial
6.3 Healthcare
6.4 Agriculture
6.5 Others
6.6 Y-O-Y Growth trend Analysis By Application
6.7 Absolute $ Opportunity Analysis by By Application, 2023-2030
Chapter 7. Open-source IoT Data Infrastructure Market – By Organization Size
7.1 Introduction/Key Findings
7.2 SMEs
7.3 Individual Developers
7.4 Y-O-Y Growth trend Analysis By Organization Size
7.5 Absolute $ Opportunity Analysis By Organization Size, 2023-2030
Chapter 8. Open-source IoT Data Infrastructure Market , By Geography – Market Size, Forecast, Trends & Insights
8.1 North America
8.1.1 By Country
8.1.1.1 U.S.A.
8.1.1.2 Canada
8.1.1.3 Mexico
8.1.2 By Application
8.1.3 By INDUSTRY VERTICAL
8.1.4 Countries & Segments - Market Attractiveness Analysis
8.2 Europe
8.2.1 By Country
8.2.1.1 U.K
8.2.1.2 Germany
8.2.1.3 France
8.2.1.4 Italy
8.2.1.5 Spain
8.2.1.6 Rest of Europe
8.2.2 By Application
8.2.3 By Organization Size
8.2.4 Countries & Segments - Market Attractiveness Analysis
8.3 Asia Pacific
8.3.1 By Country
8.3.1.1 China
8.3.1.2 Japan
8.3.1.3 South Korea
8.3.1.4 India
8.3.1.5 Australia & New Zealand
8.3.1.6 Rest of Asia-Pacific
8.3.2 By Application
8.3.3 By Organization Size
8.3.4 Countries & Segments - Market Attractiveness Analysis
8.4 South America
8.4.1 By Country
8.4.1.1 Brazil
8.4.1.2 Argentina
8.4.1.3 Colombia
8.4.1.4 Chile
8.4.1.5 Rest of South America
8.4.2 By Application
8.4.3 By Organization Size
8.4.4 Countries & Segments - Market Attractiveness Analysis
8.5 Middle East & Africa
8.5.1 By Country
8.5.1.1 United Arab Emirates (UAE)
8.5.1.2 Saudi Arabia
8.5.1.3 Qatar
8.5.1.4 Israel
8.5.1.5 South Africa
8.5.1.6 Nigeria
8.5.1.7 Kenya
8.5.1.8 Egypt
8.5.1.9 Rest of MEA
8.5.2 By Application
8.5.3 By Organization Size
8.5.4 Countries & Segments - Market Attractiveness Analysis
Chapter 9. Open-source IoT Data Infrastructure Market – Company Profiles – (Overview, Open-source IoT Data Infrastructure Market Portfolio, Financials, Strategies & Developments)
9.1 Eclipse Foundation
9.2 The Linux Foundation
9.3 Open Connectivity Foundation (OCF)
9.4 Eclipse IoT
9.5 Apache Software Foundation
9.6 Node-RED
9.7 KaaIoT Technologies
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Frequently Asked Questions
The Global Open-source IoT data infrastructure market was valued at USD 1.2 billion and is projected to reach a market size of USD 3.6 billion by the end of 2030. Over the forecast period of 2023-2030, the market is projected to grow at a CAGR of 15%.
Key drivers include the growing adoption of IoT, the need for interoperability, cost-effectiveness, and the flexibility offered by open-source solutions.
Industries such as manufacturing, healthcare, agriculture, smart cities, and more benefit from these solutions to manage and analyze IoT data effectively.
Challenges include security concerns, data privacy issues, the complexity of managing IoT data, and the need for skilled developers.
The pandemic has accelerated digital transformation efforts, increasing the demand for IoT solutions and consequently driving the adoption of open-source IoT data infrastructure.