Market Overview:
The global embedded AI market size is expected to reach USD 29.26 billion by 2032, exhibiting a CAGR of 13.8 % during 2024–2032.
Embedded AI is when artificial intelligence (AI) abilities are integrated directly into devices, systems, or applications to process data, make smart choices, and complete tasks independently of cloud-based resources. EAI is able to decrease expenses, enhance communication, and speed up processing. EAI also expresses worries regarding the privacy and security of data since the data is being gathered and analysed on devices in a local setting.
Growth Drivers and Opportunities:
- Increased investments in research and development promote the advancement of AI algorithms and technologies. This results in the creation and implementation of advanced embedded AI solutions that are incorporated into different devices and apps.
- Autonomous vehicles are becoming more popular worldwide. These cars heavily depend on built-in artificial intelligence to analyse large quantities of data from sensors and cameras in real time.
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Key Players:
The market is marked by fierce competition, and the leading companies rely on innovative technology, superior goods, and a strong brand identity to boost sales. Here is the list of the leading companies operating in the embedded AI market:
- Microsoft
- Amazon Web Services, Inc.
- NVIDIA Corporation
- Intel Corporation
- IBM
- Qualcomm Technologies, Inc.
- Hewlett Packard Enterprise Development LP
- Siemens
- Oracle
- MediaTek Inc.
- STMicroelectronics
- Edge Impulse Inc.
Segmentation Overview:
The embedded AI market is mainly segmented based on offering, data type, industry verticals, and region. Based on the offering analysis, in 2023, the hardware segment held a major share of the market due to the improvements in computational capabilities and energy conservation.
Moreover, according to the industry vertical analysis, in 2023, the automotive segment accounted for the largest market share because of the rapid progress in self-driving technology and intelligent vehicle functions. Producers are integrating smart systems more and more to boost vehicle safety, enhance navigation, and offer advanced driver-assistance systems (ADAS).
Embedded AI Market, Offering Outlook (Revenue – USD Billion, 2019-2032)
- Hardware
- Software
- Services
Embedded AI Market, Data Type Outlook (Revenue – USD Billion, 2019-2032)
- Sensor Data
- Image and Video Data
- Numeric Data
- Categorial Data
- Other
Embedded AI Market, Industry Verticals Outlook (Revenue – USD Billion, 2019-2032)
- BFSI
- Energy & Utilities
- Government & Defense
- Healthcare & Life Sciences
- IT/ITeS
- Automotive
- Retail & eCommerce
- Telecommunications
- Others
Embedded AI Industry Developments:
- September 2024: Salesforce Launches AI Tools for Healthcare
Salesforce introduced pre-built AI tools tailored for the healthcare sector, enhancing operational efficiency and improving patient engagement through advanced data analytics and automation in customer relationship management. - June 2024: Safran Electronics & Defense Unveils ACE-Embedded AI Solutions
Safran Electronics & Defense launched the ACE-Embedded AI solution, designed to enhance situational awareness, provide decision-making support, and reduce the cognitive load on military forces. The technology is aimed at improving operational capabilities in field environments for defense applications. - May 2024: MIPS Showcases Embedded and Edge AI Innovations at Computex 2024
MIPS, a leader in configurable IP compute cores, highlighted its latest embedded and edge AI technologies at Computex 2024. These innovations are designed to enable efficient AI processing across various applications, showcasing advancements in performance and configurability for AI-driven systems.
Embedded AI is transforming technology by integrating artificial intelligence (AI) directly into devices and systems, allowing them to perform intelligent tasks without relying on external computing resources. This innovation enables smart and Io devices to process data locally, enhancing speed, efficiency, and privacy.