DUBLIN–(BUSINESS WIRE)–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.
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/tyoz4j