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The embedded AI market has shown rapid growth, climbing from $13.04 billion in 2023 to $14.6 billion in 2024, with a CAGR of 12.0%. It’s expected to grow to $23.05 billion by 2028. Drivers include energy efficiency in embedded systems and expansion of industrial automation. Expected trends involve integration of AI in consumer electronics and advancements in semiconductor technology, alongside focus on edge AI in robotics and drones.

Industrial automation is on the rise, driving demand for embedded AI solutions. As evidenced by the increasing number of industrial robots in factories, there’s a growing need for embedded AI technologies to enhance productivity and efficiency in manufacturing processes.

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What Are The Key Trends That Influence Embedded AI Market Share Analysis?

Technological product innovations are driving growth in the embedded AI market. Key players in this sector are focusing on developing innovative technological products to maintain their competitive edge. For example, in May 2023, Cognex Corporation launched the Advantage 182 vision system, an embedded AI-based solution tailored for automation in the life sciences industry. Featuring advanced machine vision capabilities, barcode reading, and edge learning technology, the Advantage 182 automates complex tasks such as location tracking, classification, and inspection. Its applications range from basic presence detection to precise alignment and intricate color inspections, including tasks like test tube detection, centrifuged blood phase measurement, and pathology sample identification.

Which Market Players Are Driving Growth In The Embedded AI Market?

Major companies operating in the embedded ai  market report are Google LLC, Microsoft Corporation, Amazon Web Services Inc., Siemens, Intel Corporation, International Business Machines Corporation (IBM), Qualcomm Technologies Inc., Oracle Corporation, SAP SE, HPE (Hewlett Packard Enterprise), Nvidia Corporation, Salesforce, Advanced Micro Devices Inc, MediaTek Inc., Adobe Inc, STMicroelectronics NV, NXP Semiconductors NV, Renesas Electronics Corporation, Synopsys Inc., Xilinx Inc., Arm Limited., HiSilicon, Lattice Semiconductor, SenseTime, C3.ai, Appier, NeuroPace, AU-Zone Technologies, LUIS Technology, VectorBlox Computing Inc.

How Is The Global Embedded AI Market Segmented?

The embedded ai market covered in this report is segmented –

1) By Offering: Hardware, Software, Services
2) By Data Type: Sensor Data, Image And Video Data, Numeric Data, Categorial Data, Other Data Types
3) By Application: Smart Phone, Wearable Device, Vehicle Electronics, Smart Home, Security Monitoring, Drone, Robot, Other Applications
4) By Vertical: Banking, Financial Services And Insurance (BFSI), Information Technology (IT) And Information Technology Enabled Services (ITES), Retail And Ecommerce, Manufacturing, Healthcare And Life Sciences, Media And Entertainment, Telecom, Automotive, Other Verticals

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The Embedded AI Global Market Report 2024 provides an overview of the embedded aimarket for the time series: historic years (2010 – 2021) and ten years forecast (2023 – 2032). The embedded ai market forecast analyzes embedded ai market size, embedded ai market share, leading competitor and their market positions.

The Table Of Content For The Embedded AI Market Include

1. Embedded AI Market Executive Summary
2. Embedded AI Market Segments
3. Embedded AI Market Size And Template Market Growth Rate
4.  Key Embedded AI Market Trends
5. Major Embedded AI Market Drivers
……
25. Key Mergers And Acquisitions In The Embedded AI Market
26. Top Embedded AI Companies
27. Embedded AI Market Opportunities And Strategies
28. Embedded AI Market, Conclusions And Recommendations
29. Appendix

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