Embedded AI Market Size, Share, Leading Players, Growth Factors 2028

The Embedded AI Market is projected to grow from USD 9.4 billion in 2023 to USD 18.0 billion by 2028 at a compound annual growth rate (CAGR) of 14.0% during the forecast period.

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The Embedded AI market is expected to grow significantly during the forecast period, owing to various business drivers like growing demand for intelligent and autonomous systems for a personalized experience and increasing advancements in AI and ML technologies for better and smart decisions. Furthermore, the proliferation of connected devices and IoT ecosystem for effective communications and the rising usage of Embedded AI for industry-specific applications drive market growth.

According to a research report "Embedded AI Market by Offering (Hardware, Software, Services), Data Type (Numerical Data, Categorical Data, Image & Video Data), Vertical (Automotive, Manufacturing, Healthcare & Life Sciences, Telecom), and Region - Global Forecast to 2028" published by MarketsandMarkets,

By offering, Services to register for the highest CAGR during the forecast period

The scope of the services segment comprises training and consulting, system integration and implementation, and support and maintenance. The services segment of the Embedded AI market is growing rapidly as businesses increasingly look to outsource the development and deployment of AI solutions. This is due to a number of factors, including the complexity of developing AI-powered applications, the need for specialized expertise, and the high cost of in-house development. Businesses looking to adopt AI should consider the services segment as a viable option for developing and deploying AI solutions.

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By data type, numeric data to register for the highest market size during the forecast period

The increasing demand for real-time data processing and analysis boosts the demand for numeric data type in the embedded AI market. Numeric data plays a crucial role in the embedded AI market, forming the foundation for training, optimizing, and deploying AI models on embedded systems. Numeric data captured by sensors, cameras, or other sources in real-time serves as input to the deployed AI models, allowing them to process the data and generate actionable outputs promptly. This is crucial for robotics, autonomous vehicles, or industrial automation applications, where quick decision-making is required.

By region, Asia Pacific to account for the highest growth rate during the forecast period

Embedded AI adoption in the Asia Pacific region is experiencing significant growth. It is driven by several factors, including the region's strong manufacturing base, rapid urbanization, increasing demand for IoT applications, and advancements in AI technologies. With strong government support, a thriving startup ecosystem, and investments in AI infrastructure, the Asia Pacific market presents significant growth opportunities for Embedded AI technologies and solutions.

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Some major players in the Embedded AI market include Google (US), IBM (US), Microsoft (US), AWS (US), NVIDIA (US), Intel (US), Qualcomm (US), Arm (UK), AMD (US), MediaTek (Taiwan), Oracle (US), Salesforce (US), NXP (The Netherlands), Lattice (US), Octonion (Switzerland), NeuroPace (US), Siemens (Germany), HPE (US), LUIS Technology (Germany), Code Time Technologies (Canada), HiSilicon (China), VectorBlox (Canada), AU-Zone Technologies (Canada), STMicroelectronics (Switzerland), SenseTime (Hong Kong), Edge Impulse (US), Perceive (US), Eta Compute (US), SensiML (US), Syntiant (US), Graphcore (UK), and SiMa.ai (US).

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