Embedded AI Market size was valued at USD 10.43 billion in 2024 and is expected to reach USD 56.64 billion by 2037, registering around 13.9% CAGR during the forecast period i.e., between 2025-2037. In the year 2025, the industry size of microcontroller is assessed at USD 11.59 billion. The primary reason behind this huge expansion of the embedded AI industry globally is the increasing integration of IoT, as it increases the intelligence and capabilities of IoT devices.
These devices can process and analyze data locally, allowing them to make decisions without relying on centralized cloud servers or a continuous internet connection. In smart homes, for example, IoT devices with AI capabilities, like thermostats, can expertly learn human preferences, optimize energy use, and fine-tune settings for enhanced comfort. A recent estimate based on an analysis of 41 million homes and 1.8 billion connected devices stated that the average American home currently has 21 linked gadgets. The average number of smart devices in a Japanese home is only 10, compared to 17 in Europe.
In addition, the recent concentration on data privacy and security across the world will drive the advancement of embedded AI by the end of the projected timeline. The gathering, utilizing, and disclosing of personal data to outside parties without the knowledge or approval of customers is equally concerning.
Out of 194 countries, 137 had legislation in place to ensure data security and privacy. With 61 and 57% of their countries having implemented such laws, Africa and Asia exhibit varying adoption rates. Just 48% of the share is found in the least developed nations. Embedded AI solves these problems by allowing encryption and on-device data processing.
Growth Drivers
Challenges
Base Year |
2024 |
Forecast Year |
2025-2037 |
CAGR |
13.9% |
Base Year Market Size (2024) |
USD 10.43 billion |
Forecast Year Market Size (2037) |
USD 56.64 billion |
Regional Scope |
|
Offering (Hardware, Software, Services)
In embedded AI market, software segment is likely to hold more than 62% share by 2037. The rising use of embedded software across the world will propel the software to grow magnificently during the forecast period. Moreover, worldwide almost 98% of manufactured microprocessors use embedded software.
Embedded systems are employed in many different fields nowadays. Hospital CT and MRI machines, transportation management systems, industrial robots, and interactive kiosks are just a few examples of how embedded systems have transformed automation and human-machine interaction.
Data Type (Sensor Data, Image & Video Data, Numeric Data, Categorial Data)
In embedded AI market, sensor data segment is predicted to account for around 45% revenue share by 2037. This huge expansion will be the result of the rising use of sensor data in the embedded AI to give personalized experiences to customers. To illustrate, fitness trackers collect data on heart rate, sleep patterns, and activity levels to offer personalized wellness and health recommendations.
The market development in this area is significantly influenced by the numerous benefits that come with integrating sensor data with embedded AI. These benefits range from improved safety and tailored experiences to higher operational efficiency and cost savings.
Recently smart wearable devices consist of sensor data that have been on the rise globally. According to Strategy Analytics, worldwide shipments of smartwatches increased by 47% yearly in the second quarter of 2021, marking the greatest growth rate for the sector since 2018.
Our in-depth analysis of the global embedded AI market includes the following segments:
Offering |
|
End User |
|
Data Type |
|
APAC Market Statistics
Asia Pacific industry is poised to hold largest revenue share of 43% by 2037. The rapid growth of e-commerce and digital transformation in the retail sector is a significant driver for embedded AI in the Asia-Pacific region. Embedded AI technologies contribute to personalized recommendations, supply chain optimization, and fraud detection in e-commerce platforms.
The Asia-Pacific e-commerce sales are assessed to reach USD 3.5 trillion by 2025. The emphasis on smart cities and urban development initiatives is a key growth driver for embedded AI in the Asia-Pacific region. As countries invest in building sustainable and technologically advanced cities, embedded AI technologies contribute to intelligent infrastructure, efficient energy management, and enhanced public services.
North American Market Analysis
The embedded AI market in the North America region is foreseen to hold the second-largest share between 2023 and 2037. In North America, a thriving ecosystem of research institutions, universities, and technology companies collaborates to push the boundaries of AI capabilities. The synergy between academic research and private-sector innovation creates an environment conducive to the growth of embedded AI.
This commitment to R&D positions North America as a frontrunner in driving advancements in embedded AI technologies. North America, particularly the United States, has been at the forefront of adopting artificial intelligence across various industries. The high adoption rate signifies the region's willingness to integrate AI technologies into business operations. This widespread acceptance creates a fertile ground for the growth of embedded AI, as organizations seek to leverage the benefits of AI in enhancing efficiency, decision-making, and customer experiences. The pioneering role of North America in AI adoption extends to the development and implementation of embedded AI applications, from intelligent automation in manufacturing to AI-driven analytics in healthcare.
Author Credits: Abhishek Verma
Copyright © 2024 Research Nester. All Rights Reserved
FREE Sample Copy includes market overview, growth trends, statistical charts & tables, forecast estimates, and much more.
Have questions before ordering this report?