Internet of Things Development Survey 2021 with Subscriber Inputs
Dublin, Sept. 16, 2021 (GLOBE NEWSWIRE) -- The "Internet of Things Development Survey 2021, Volume 1" report has been added to ResearchAndMarkets.com's offering.
This survey gives a comprehensive view of the attitudes, adoption patterns and intentions of developers in relation to the Internet of Things. The survey solicits input from subscribers prior to the publication of each volume.
This subscriber input is incorporated into the content of the survey, providing answers and insight into issues of interest to our clients.
Topics include:
Demographics and Firmographics
The IoT Developers' Journey
IoT and the Enterprise
IoT Hardware and Embedded Systems Development
Artificial Intelligence and Data Management
Cloud Development and Virtualization
Edge Computing
IoT Development Lifecycle
Testing and Performance
Security
Technology Adoption
Automotive and Connected Car Development
Wearables Development
Data Visualization
Key Topics Covered:
Demographics and Firmographics
Involvement in Software Development
IoT Development in Moonlighting Efforts
Company Size
Team Size
Company's Years in Business
Industry
Target Verticals for IoT Deployments
Primary Focus of IoT Development
Outside Sales of Applications
Outside Sales of Applications by Company Size
Monetization of IoT Development
The IoT Developers' Journey
Importance of Technologies to IoT
Problems Targeted by IoT Products
Involvement in Tool Purchasing
Initial Information Sources for IoT
Most Effective Learning Resources for IoT Platforms
Characteristics of Targeted IoT Products
Main Factors Leading Developers to Adopt an IoT Tool or Platform
Most Critical Platform Support
Most Helpful Forms of Support for IoT Development Resources
IoT and the Enterprise
Senior Management Champions for IoT or Mobile Projects
Influencers in Internal Software Projects
Extent of IoT Solutions
Extent of IoT Solutions by Company Size
Scope of Use Cases for IoT Solutions
Scope of Use Cases for IoT Solutions by Company Size
Use of Security Development Teams
Use of Security Development Teams by Company Size
Delivery of Solutions that Manage Devices and Resources as Code
Types of Enterprise IoT Apps that Developers Work On
IoT Hardware and Embedded Systems Development
Languages Used for Embedded Designs
Top Requirements for Infrastructure and Backbone Support
CPU/Vendor Infrastructure for Device- and Application-level Security
Requirements for Functional Safety Support
Biggest Barrier to Porting Application to a Different Architectures
Most Useful Hardware Development Resources
Most Difficult Issue in Building Connected Devices
Optimization of Real-time Projects for Hardware Architectures
Most Important Hardware Considerations for Real-time Systems
Most Important Architecture Considerations for Real-time Systems
Most Important IP Ecosystem Considerations for Real-time Systems
Artificial Intelligence and Data Management
Use of Big Data Capabilities
Reasons for Leveraging Big Data in IoT projects
Where IoT Data is Typically Used
Types of Database Technology Used as Backends
Timeline for Using AI and Machine Learning in IoT Projects
Use Cases Supported for AI Projects
Approaches for Targeting Hardware with AI Applications
Cloud Development and Virtualization
Backends Used for IoT Solutions
IoT Middleware Offerings Used
Use of Cloud Services in IoT
Use of Containers for Deployment
Benefits of Using Containers for IoT
Edge Computing
Top Technical Barriers to Developing Edge Infrastructure Solutions
Plans for Developing Applications for Edge Computing
Percentage of IoT Projects Deployed to the Edge
Workloads Used in Edge Computing
Top Verticals Targeted in Edge Computing
Types of Artifacts Deployed to the Edge
Deploying to Edge Computing Solutions
IoT Development Lifecycle
Current Challenges in IoT Development
Length of Typical Development Lifecycle
Top Reasons for Delays in Early Development
Delivery of Services via Apps
Obstacles to IoT Innovation
Integration of APIs from Vendors
API Access Features
Testing and Performance
Optimization for Specific Device Capabilities
Use of Emulators and Simulators
Optimization for Specific Processors
Use of Performance and Profiling Tools
Use of Sandboxes for Testing
Use of Video Analytics in IoT Projects
Importance of Physical Factors in Development Efforts
Security
Optimization for Security
Optimization for Security by Company Size
IoT-Related Security Breaches
Handling of Identity Management
Most Difficult Aspect of IoT Security
Greatest Technical Trouble Spot for IoT Security
Most Likely Security Approaches Supported for IoT Apps
Government-mandated Protocols for Authentication
Technology Adoption
Anticipated Adoption of Emerging Technologies
Reasons for Targeting Emerging Technologies
Plans for Targeting Mobile Devices
Mobile Device Targets
Plans for Targeting Specific Mobile Platforms
Target Platforms for Embedded, IoT, or Edge Design
Sensor Use
Devices Housing Sensors
Types of Sensors Supported
Communication Protocol Use
Connectivity Protocol Use
User Interfaces Targeted for IoT Projects
Technology Adoption
Drivers of Mixed Reality Adoption
Motivations for Selecting Mixed Reality Providers
Top Challenge to Developing Mixed Reality Projects
Automotive and Connected Car Development
Plans for Developing Automotive or Connected Car Software
Likely In-vehicle Platform Targets
Preferred Delivery of Automotive or Connected Car Apps
Interest in Smart Assistants for Auto Deployments
Nature of Automotive Development
Plans for Embedded Systems in Automotive Development
Integrating APIs from Telematics Services
Anticipated Connectivity for Automotive Projects
Greatest Challenge in Developing Connected Car Apps
Perceived Leader in Autonomous Vehicles
Barriers to Targeting Automotive Platforms
Barriers to Automotive Platforms by Plans for Automotive Deployment
Greatest Challenges Facing Automotive Development
Automotive Development Challenges by Plans for Automotive Development
Wearables Development
Plans for Developing Software for Wearables
Type of Wearables Targeted
Initial Wearable Platforms Targeted
Primary Function of Wearables App
Monitoring of Functions in Wearables Projects
End Users Use of Wearable App Functions
Top Concerns for Wearable Device Deployments
Top Challenges When Creating Wearables Projects
Data Visualization
Involvement in Data Visualization for IoT Projects
End Users of Data Visualization
Delivery Medium for Data Visualization
Roles Responsible for Data Visualization
Important Features for Data Visualization Tools and Services
Data Visualization Metrics Tracked
Commercial vs. Open-source Data Visualization Tools
IoT-specific Data Visualization Tools
Integration of Data Visualization Tools
For more information about this report visit https://www.researchandmarkets.com/r/elfjh2
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