TinyML Market: Growth and Trends

1. TinyML Market The global TinyML Marketsize is predicted is predicted to reachUSD 10.80 billionwith aCAGR of 24.8%from 2024-2030 Next Move Strategy Consulting

2. Agenda • Market Overview • Market Segmentation • Regional Analysis • Key Market Players • Key Highlights Next Move Strategy Consulting

3. Market Overview • The tiny machine learning (TinyML) market involves creating and using machine learning technologies for small, low-power devices. • This market focuses on embedding advanced data processing and analysis capabilities into compact devices such as sensors, wearables, and embedded systems. Some of the features of tiny machine learning includes real-time data processing, energy efficiency, and reduced need for cloud computing. • By enabling intelligent functions such as voice recognition, image classification, and predictive analytics directly on these small devices, TinyML supports various applications, including consumer electronics and industrial automation, while saving power and lowering costs. • The tinyML market demand is significantly driven by the rising popularity of wearable devices that require real-time data analysis for features such as health tracking and activity monitoring. Next Move Strategy Consulting

4. Market Segmentation • By Component • Hardware • Software • Services • By Deployment • On-premise • On-cloud • By End-User • Consumer Electronics • Healthcare • Manufacturing • Automotive • Aerospace & Defense • Agriculture • Energy & Utility • Others Next Move Strategy Consulting

5. Regional Analysis • North America • The U.S. • Canada • Mexico • Asia-Pacific • China • India • Japan • South Korea • Australia • Rest of Asia-Pacific • RoW • UAE • Saudi Arabia • South Africa • Brazil • Remaining Countries • Europe • The UK • Germany • France • Italy • Spain • Denmark • Netherlands • Finland • Sweden • Norway • Russia Next Move Strategy Consulting

6. Key Market Players • Microsoft Corporation • ARM • STMicroelectronics • Cartesian • Meta Platforms • EdgeImpulse Inc. • InData Labs • Amazon Web Services • Databricks • ScienceSoft • MobiDev • Renesas Electronics Next Move Strategy Consulting

7. Key Highlights • Rapid Growth : The TinyML market is experiencing significant growth due to • increasing adoption of IoT (Internet of Things) devices and the need for on-device AI processing. • Applications : TinyML is used in a variety of applications including smart home devices (e.g., voice assistants, security cameras), wearables (e.g., fitness trackers), industrial automation, agriculture, and automotive systems. Its ability to perform real-time data processing and analysis on-device is a major advantage. • Advancements in Hardware : The development of specialized hardware like microcontrollers, edge AI chips, and low-power sensors has been a driving force behind the TinyML market. Companies like Google, Intel, and ARM are leading innovations in this area. • Energy Efficiency : TinyML emphasizes low-power consumption, which is critical for battery-operated devices. Techniques like quantization, pruning, and efficient neural network architectures help reduce the energy footprint of machine learning models. Next Move Strategy Consulting

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