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Embedded AI Market: Propelled by Industrial Automation and Anticipated to Reach $26.66 Billion by 2029

01-27-2025 12:45 PM CET | IT, New Media & Software

Press release from: The Business Research Company

Embedded AI Market Size

Embedded AI Market Size

Projecting an impressive CAGR of 14.0%, the global market of Embedded AI is set for a notable growth from $14.28 billion in 2024 to $15.81 billion in 2025 and an expected $26.66 billion by 2029.

What Is The Projected Market Size Of The Global Embedded AI Market And Its Growth Rate?
• Market Size in 2024: $14.28 billion
• Market Size in 2025: $15.81 billion
• CAGR from 2024 to 2025: 10.7%
• Market Size in 2029: $26.66 billion
• CAGR from 2025 to 2029: 14.0%

Factors contributing to this growth include the miniaturization of hardware components, the rising demand for smart devices, improvements in edge computing, the advent of wearable devices, and enhancements in energy efficiency in embedded systems.

What Is Driving The Growth In The Embedded AI Market?
Embedded AI plays a significant role in industrial automation, where it enhances productivity, efficiency, and decision-making in manufacturing and production processes. The use of embedded AI in aspects such as machine vision, quality control, predictive maintenance, and robotics automation is accelerating. Statistics from Germany's non-profit organization, the International Federation of Robotics, revealed a 10% increase in units operating in factories worldwide in 2023, proving the potential of industrial automation in driving the embedded AI market's growth.

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Who Are the Key Players Driving Embedded AI Market Growth?
• 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.

What Are The Key Trends In The Embedded AI Market?
• Integration of AI in consumer electronics
• Development of AI-optimized processors
• Advances in semiconductor technology
• AI-optimized microcontrollers
• Edge AI in robotics and drones
• Edge AI for sustainable and green computing

What Are The Segments Of The Global Embedded AI Market?
• Offering: Hardware, Software, Services
• Data Type: Sensor Data, Image And Video Data, Numeric Data, Categorial Data, Other Data Types
• Application: Smartphone, Wearable Device, Vehicle Electronics, Smart Home, Security Monitoring, Drone, Robot, Other Applications
• 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

Which Region Leads The Embedded AI Market?
North America led the embedded AI market in 2024. The report also covers other regions including Asia-Pacific, Western Europe, Eastern Europe, South America, Middle East, and Africa.

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What Is Covered In The Embedded AI Market Global Market Report?
- Market Size Analysis: Analyze the Embedded AI Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the Embedded AI Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the market.
- Market Contribution: Evaluate contributions of different segments to the overall Embedded AI Market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the Embedded AI Market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.

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