TinyML Device Shipments to Grow to 2.5 Billion in 2030, Up From 15 Million in 2020

ABI Research’s latest whitepaper explores why TinyML is the next big opportunity in tech
13 May 2021

Between 2021 and 2026, the number of IoT connections will nearly triple to 23.6 billion. Each new connection represents an opportunity to leverage Artificial Intelligence (AI) and Machine Learning (ML), and TinyML technology will be pivotal in seizing that opportunity.

In its new whitepaper, TinyML: The Next Big Opportunity in Tech, global tech market advisory firm ABI Research identifies the six key benefits of TinyML, offers strategic recommendations to vendors and end-users, and explains why the TinyML market will grow from 15.2 million shipments in 2020 to 2.5 billion in 2030.

“The proliferation and democratization of AI has fueled the growth of the Internet of Things (IoT) analytics. Data collected from IoT devices are used to train Machine Learning (ML) models, generating valuable new insights into the IoT overall. These applications require powerful and expensive solutions that rely on complex chipsets,” explains Lian Jye Su, AI & ML Principal Analyst at ABI Research. At the same time, edge AI chipsets have introduced AI to myriad endpoints, including mobile devices, automobiles, smart home speakers, and wireless cameras. “However, these devices are often too underpowered to make use of all the data flowing across them and struggle to support high computing performance and high data throughput, causing latency issues, which is a death knell for AI,” Su says.

TinyML chipsets aim to solve the issues of both cost and power efficiency. TinyML enables the performance of data analytics on low-powered hardware with low processing power and small memory size, aided by software designed for small-sized inference workloads. It has the potential to revolutionize the future of the IoT.

The proliferation of TinyML will lead to the expansion of edge AI beyond traditional key markets. “By bringing AI analytics beyond machine vision, more end users can benefit from smart connected sensors and IoT devices based on soundwaves, temperature, pressure, vibration, and other data sources,” Su says. This growth offers tangible and important benefits such as data privacy, high interconnectivity and interaction of various components, high-energy efficiency, small chipset footprint, functional safety, and security concerns, and overcoming network bandwidth challenges.

“Given that very edge AI exists in a slightly more specialized environment as compared to the general edge AI, end users must prepare their equipment, connectivity infrastructure, and internal expertise to capture the real benefits of very edge AI. Knowing the user demand and requirements for TinyML, TinyML AI chipset vendors need to differentiate through key use cases and focus on software and services,” Su concludes.

To learn more about the potential of TinyML chipsets, the key TinyML benefits, and ABI Research’s strategic recommendations for vendors and end-users, download TinyML: The Next Big Opportunity in Tech


About ABI Research

ABI Research is a global technology intelligence firm uniquely positioned at the intersection of technology solution providers and end-market companies. We serve as the bridge that seamlessly connects these two segments by providing exclusive research and expert guidance to drive successful technology implementations and deliver strategies proven to attract and retain customers.

ABI Research 是一家全球性的技术情报公司,拥有得天独厚的优势,充当终端市场公司和技术解决方案提供商之间的桥梁,通过提供独家研究和专业性指导,推动成功的技术实施和提供经证明可吸引和留住客户的战略,无缝连接这两大主体。

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