logo
Community

Research Programs

BlogForum
Back to blog
Edge Computing Machine Learning

July 18, 2024

Edge Computing and Machine Learning Key Insights
byAyan PahwainTips

This blog post is powered by data from Developer Nation’s 26th global survey wave (conducted from November 2023 to January 2024), delves into the latest and most crucial developer trends for Q1 2024. With insights from over 13,000 developers across 136 countries, it’s a treasure trove of knowledge.

37% of developers who target non-x86 architectures write optimised code for Arm-based processors, making them the second most popular target behind microcontrollers (40%).

Nearly half (47%) of ML developers have deployed on-device AI solutions in the past 12 months. The top motivations for doing so are increased user privacy and faster inferencing.

The most popular on-device ML framework is Google MLKit, used by 46% of developers who deploy on-device AI solutions, followed by OpenCV (28%), PyTorch Mobile (26%), and TensorFlow Lite (25%).

The vast majority (86%) of developers working on Industrial IoT projects implement on or near-device solutions, with the most popular being on-device processing (26%), automation control (19%), and real-time analytics (17%).


Recent Posts

Navigating the Tech Universe: How Social Media Empowers Your Journey

June 22, 2025

Navigating the Tech Universe: How Social Media Empowers Your Journey

See post

developer news june 2025

June 20, 2025

Developer News This Week: AWS re:Inforce, React Native 0.80 & More (June 20 2025)

See post

How to Optimize Data-Heavy Applications for Speed and Scalability

June 19, 2025

How to Optimize Data-Heavy Applications for Speed and Scalability

See post

Contact us

Swan Buildings (1st floor)20 Swan StreetManchester, M4 5JW+441612400603community@developernation.net
HomeCommunityDN Research ProgramDN Surveys ProgramBlog

Resources

Knowledge HubPulse ReportReportsForumEventsPodcast
Code of Conduct
SlashData © Copyright 2025 |All rights reserved
Cookie Policy |Privacy Policy