Edge Artificial Intelligence Chips Market – Growth Opportunities, Competitive Insights, and Forecast to 2029
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What Is the Forecast Market Size and Growth Rate of the Edge Artificial Intelligence Chips Market by Region?
The edge artificial intelligence chips market size has grown rapidly in recent years. It will grow from $5.99 billion in 2024 to $7.05 billion in 2025 at a compound annual growth rate (CAGR) of 17.7%. The growth in the historic period can be attributed to applications in medical fields, growing interest and adoption of virtual and augmented reality, popularity of interactive and immersive gaming experiences, advancements in robotics, industrial applications and automation.
The edge artificial intelligence chips market size is expected to see rapid growth in the next few years. It will grow to $13.77 billion in 2029 at a compound annual growth rate (CAGR) of 18.2%. The growth in the forecast period can be attributed to emergence of 5g technology, miniaturization of tracking devices, wider adoption in navigation systems, demand for 3d positioning, increasing adoption of wearables. Major trends in the forecast period include growth of minimally invasive surgical procedures, expansion in oncology applications, adoption in orthopedic surgery, integration with augmented reality and navigation systems, development of portable and wireless tracking systems.
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What Are the Top Drivers and Growth Contributors in the Edge Artificial Intelligence Chips Market?
The rise in the volume of data generated through social media and e-commerce platforms is expected to propel the growth of the edge artificial intelligence chips market going forward. The term volume of data in the context of social media and e-commerce platforms refers to the sheer amount or quantity of digital information generated, processed and stored within these platforms. The volume of data generation through social media and e-commerce platforms is rising due to the increasing number of users, the growth of online activities, and the expansion of personalized content and targeted advertising. The use of edge AI chips in conjunction with the substantial volume of data from social media and e-commerce platforms enables faster, more personalized, and more secure experiences for users while optimizing platform operations in real time. For instance, in February 2023, according to Forbes, a US-based business magazine, by 2026, 24% of retail purchases are expected to take place online and the e-commerce market is expected to total over $8.1 trillion. Social media commerce is expected to reach $2.9 trillion by 2026. Therefore, the rise in the volume of data generated through social media and e-commerce platforms is driving the growth of the edge artificial intelligence chips Market.
What Are the Major Product/Service Segments in the Edge Artificial Intelligence Chips Market?
The edge artificial intelligence chipsmarket covered in this report is segmented –
1) By Chip Type: Central Processing Unit (CPU), Graphics Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC), Field Programmable Gate Arrays (FPGAs)
2) By Device Type: Consumer Devices, Enterprise Devices
3) By Function: Training, Inference
4) By End-Use Industry: Automotive, Manufacturing, Healthcare, Consumer Electronics, Others
Subsegments:
1) By Central Processing Unit (CPU): Multi-Core CPUs, High-Performance CPUs
2) By Graphics Processing Unit (GPU): Integrated GPUs, Discrete GPUs
3) By Application-Specific Integrated Circuit (ASIC): Fixed-Function ASICs, Reconfigurable ASICs
4) By Field Programmable Gate Arrays (FPGAs): Low-Power FPGAs, High-Performance FPGAs
How Are Innovation and Technology Shaping the Future Trends of the Edge Artificial Intelligence Chips Market?
Major companies operating in the edge artificial intelligence chips market are developing innovative platforms, such as edge AI developer platforms, to increase their profitability in the market. An Edge AI developer platform comprises a collection of tools and resources designed to empower developers in the creation and deployment of AI models on edge devices. For instance, in January 2024, Ambarella Inc., a US-based semiconductor company, launched a platform called Cooper Developer Platform. The platform encompasses a preconfigured suite of hardware and software development tools, incorporating Cooper Metal, a range of AI System-on-Chips (SoCs), and board-level hardware solutions. Designers can fully leverage Ambarella's AI performance through user-friendly and comprehensive tools, abstracting the hardware complexities and allowing them to concentrate on product development.
Who Are the Industry Leaders in the Edge Artificial Intelligence Chips Market?
Major companies operating in the edge artificial intelligence chips market report are Apple Inc., Alphabet Inc., Samsung Electronics Co. Ltd., Intel Corp., Qualcomm Technologies Inc., NVIDIA Corp., Advanced Micro Devices Inc., Synopsys Inc., Marvell Technology Group Ltd., Xilinx Inc., Cadence Design Systems Inc., HiSilicon Technologies CO. Ltd., Arm Ltd., Bitmain Technologies Ltd., Imagination Technologies Group PLC, Cambricon Technologies Corporation Limited, VeriSilicon Holdings Co. Ltd., Mythic Ltd., Tenstorrent Inc., Sambanova Systems, Hailo Technologies Ltd., Kalray SA, Thinci Inc., Flex Logix Technologies Inc., GreenWaves Technologies, Graphcore Limited
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Which Region Is Expected to Lead the Edge Artificial Intelligence Chips Market by 2029?
North America was the largest region in the edge artificial intelligence chips market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the edge artificial intelligence chips market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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