The wearable technology market is projected to grow from USD 70.30 billion in 2024 and is projected to reach USD 152.82 billion by 2029; it is expected to grow at a CAGR of 16.8% from 2024 to 2029 due to the growing consumer preference for sleek and compact devices in fitness and healthcare applications.

The wristwear segment market was valued at USD 26,96 billion in 2023 and is estimated to reach USD 70.14 billion by 2029, registering a CAGR of 17.1% during the forecast period. The smartwatch is a wearable technology device that is very similar to a wristwatch or any other time-keeping device. This enables the wearer to answer phone calls received on their mobile phones, read email and text messages, get a weather report, listen to music, dictate email or text messages, or ask a digital assistant a question. Currently, smartwatches are majorly used in fitness applications. Companies such as Apple Inc. (US) and Fitbit Inc. (US) launched application platforms for their smartwatch users.

The smartwatch comes equipped with various high-level sensors which are capable of measuring health parameters such as heartbeat rate, calories burned, distance travelled, and steps taken. All such data is captured by the application developed by the respective company. Thus, with the help of smartwatches, people can keep track of their overall health to monitor their fitness. Samsung Group (South Korea), Fitbit, Inc. (US), LG (South Korea), Sony Corporation (Japan), and Apple Inc. (US) are the major players in the smartwatch market.

Artificial intelligence algorithms and processing are directly integrated into wearable devices in on-device Al. This leads to real-time data analysis, personal experience, and functionality improvements that are not reliant on cloud computing or other external server operations. Using specialized hardware components and advanced algorithms, on-device Al interprets and analyses user data locally; thus, everything functions fast with no latency within daily routines for users.

The key characteristics of on-device Al are the fast processing of data, local data handling to ensure privacy, it can function even if a wearable is offline, and it results in low latency, which causes faster response rates and provides a better user experience. Further, Al chipsets improve the on-device Al functions in wearable technology by ensuring machine learning and neural network processing for quick insights into data. Moreover, edge computing technology allows wearable devices to execute Al operations at the device end with lesser latency and reduced dependency on the server.