Embedded AI Market Research Report Information By Offering (Hardware, Software and Services) By Data Type (Sensor Data, Image and Video Data, Numeric Data, Caterogical Data and Others), , By Industry Vertical (BFSI, IT & Telecom, Retail & Ecommerce, Manufacturing, Energy & Utilities, Transportation & Logistics, Healthcare & Life Sciences, Media & Entertainment, Automotive and Others) and by Region (North America, Europe, Asia-Pacific, Middle East & Africa, and South America) – Industry Forecast Till 2032
In 2022, the embedded AI market was estimated to be worth USD 8,304.1 million. The embedded artificial intelligence (AI) market is expected to expand at a compound annual growth rate (CAGR) of 20.9% between 2023 and 2032, from USD 9,544.8 million in 2023 to USD 43,436.0 million.
Embedded Artificial Intelligence (EAI), or Embedded AI Market, is a general-purpose AI framework system. It is integrated into network devices and offers standard capabilities for data collection, preprocessing, and model management for AI algorithm-based operations on these devices. It can also send inference results to functions that rely on AI algorithms. This fully utilizes the devices' processing power and sample data, and it also offers advantages including lower data transfer costs, data security, and real-time inference and decision-making.
The market for embedded AI is impacted by several factors, including the rising need for intelligent and autonomous systems, the acceleration of advances in ML and Al technologies, which facilitate the making of better and more informed decisions, and the expanding usage of embedded Al in industry-specific applications. The market provides a number of chances for established players in the business as well as for newcomers to investigate and create technical solutions that may be used to address issues in regular business operations.
Insights on market segmentsThe global embedded AI market is divided into three segments based on the offerings: software, hardware, and services.
The market is divided into categories according to the type of data: sensor data, image and video data, numerical data, categorical data, and others.
Based on industrial verticals, the embedded artificial intelligence market has been divided into BFSI, IT & telecom, retail & ecommerce, manufacturing, energy & utilities, transportation & logistics, media & entertainment, healthcare & life sciences, and automotive, among other segments.
Regional PerspectivesThe Middle East & Africa, Asia-Pacific, North America, Europe, and South America are the regions into which the market is divided by the study. In 2022, North America held the largest share of the market. In terms of technological innovation, especially when it comes to artificial intelligence, North America is a leader. The development of Embedded AI Market solutions is being driven by a strong ecosystem in the region, which includes research institutes, startups, and tech giants. Silicon Valley acts as a center for advanced artificial intelligence research and development. Leading businesses like Qualcomm, Microsoft, Google, and others are present, which encourages innovation in embedded technologies even more.
The healthcare, automotive, and consumer electronics sectors in the North American region make substantial use of embedded artificial intelligence. Implanted AI-powered devices are changing the way that medical services treat patients by enabling remote monitoring, vision analysis, and personalized treatment recommendations.
The embedded AI market is anticipated to develop at the quickest rate in Asia Pacific. The Asia Pacific region is also witnessing a rapid uptake of the Embedded AI Market, indicating that implanted artificial intelligence is not an isolated instance. It is mainly driven by the proliferation of intelligent devices, rapid urbanization, and growing internet penetration.
Throughout the forecast period, Europe is anticipated to rank as the second-largest market. Like other regions, Europe is seeing rapid growth in the embedded AI market due to strong grounds for ethical simulated intelligence standards and information security regulations such as the General Data Protection Regulation (GDPR).
The region's manufacturers are leading the way in the adoption of the embedded AI market, introducing AI-powered technologies to cars to enhance navigation, safety, and driver support systems. Additionally, European healthcare providers are gradually providing artificial intelligence-based responses for disease diagnosis, personalized treatment planning, and drug disclosure.
Principal PlayersMicrosoft, Google, IBM, Siemens, AWS, NVIDIA, Qualcomm, STMicroelectronics, Oracle, Salesforce, NXP, Lattice, Octonion, and HPE are a few of the major companies in the embedded artificial intelligence market.