Through the use of cloud computing resources, cloud-native development solutions enable a scalable, flexible, and easily reproducible environment for programmers to develop IoT and embedded software. This report examines and sizes the IoT market for cloud-native development solutions. It includes discussion of trends, vertical & regional markets, leading vendors, and selected insights from VDC Research's survey of embedded device engineers and developers.
Table of Contents
Executive Summary
Introduction
- Solutions
- Hardware Simulation in the Cloud
- Cloud IDEs, Compilers & Debuggers
- Drag-and-drop Development Platforms
- Cloud-native AI Coding Tools
- Considerations
- Connectivity & Continuity
- Compliance & Security
- User Competency
Recent Market Developments
- Organizations & Standards
Global Market Overview
Vertical Markets
- Aerospace & Defense
- Automotive In-Vehicle
- Consumer Electronics & Smart Home
- Industrial Automation
- Medical
- Retail Automation
Regional Markets
- The Americas
- Europe, the Middle East & Africa (EMEA)
- Asia-Pacific (APAC)
Competitive Landscape
- Selected Vendor Insights
- Additional Vendor Insights
End-User Insights
- Growing Cloudification
- Flexibility In The Cloud
- Adoption Patterns
About VDC Research
Report Exhibits
- Exhibit 1: Cloud-native IoT Development Solutions Forecast Scope
- Exhibit 2: Software Design Methodologies Used on Current Project (Percentage of Respondents)
- Exhibit 3: Global Market for Engineering Labor 2022 & 2027 (Percentage of Dollars)
- Exhibit 4: Worldwide Revenue for Embedded Software Development Tools 2022 - 2027 (Millions of Dollars)
- Exhibit 5: Worldwide Revenue for Cloud-native IoT Development Solutions 2022 & 2027, Share by Vertical Market (Percentage of Dollars)
- Exhibit 6: Worldwide Revenue for Cloud-native IoT Development Solutions 2022 & 2027, Share by Geographic Region (Percentage of Dollars)
- Exhibit 7: Type of Compilation Tool(s) Currently Used by Respondent (Percentage of Respondents)
- Exhibit 8: Plans to Use Cloud-native Development Solutions, by Geographic Region (Percentage of Respondents)
- Exhibit 9: Plans to Use Cloud-native Development Solutions, by Team Distribution (Percentage of Respondents)
- Exhibit 10: Plans to Use Cloud-native Development Solutions, by Number of Full-Time Engineers (Percentage of Respondents)
- Exhibit 11: Most Important Factors in Selection of Software Development, by Usage of Cloud-native Development Solutions (Percentage of Respondents)
- Exhibit 12: Plans to Use AI to Develop Software (Percentage of Respondents)