2025-2034 Edge Artificial Intelligence Chips Market Outlook: Key Drivers, Emerging Challenges, and Strategic Insights

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What Will the Edge Artificial Intelligence Chips Industry Market Size Be by 2025?
The market size for edge artificial intelligence chips has seen a quick expansion in recent years. The market, which is projected to rise from $5.99 billion in 2024 to $7.08 billion in 2025, is expected to have a compound annual growth rate (CAGR) of 18.2%. The notable growth during the historical period is because of its utilization in the medical sector, the surging interest and application of augmented and virtual reality, the rise in engaging and immersive gaming experiences, improvements in robotics, as well as industrial applications and automation.

What's the Long-Term Growth Forecast for the Edge Artificial Intelligence Chips Market Size Through 2029?
The market size for edge artificial intelligence chips is projected to flourish significantly in the near future, reaching a value of $13.83 billion by 2029 with an annual growth rate of 18.2%. This anticipated growth during the forecast period can be associated with the rise of 5g technology, the downsizing of tracking devices, a broader uptake in navigation systems, the need for 3d positioning, and the increasing utilization of wearable technology. The main trends expected during this period are the proliferation of minimally invasive surgical procedures, an increase in applications for oncology, integration into orthopedic surgery, collaboration with augumented reality and navigation systems and the creation of portable and wireless tracking systems.

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What Are the Key Growth Drivers Fueling the Edge Artificial Intelligence Chips Market Expansion?
The escalating data creation via social networking and online trading sites is predicted to drive the advancement of the edge artificial intelligence chips market. In this context, 'volume of data' refers to the immense quantity of digital data that is being produced, dealt with, and stored on these platforms. The data volume from social networking and online trading platforms is on the rise, resulting from an expanding user base, increased online activities and the proliferation of tailored content and targeted advertising. The integration of edge AI chips with the massive volume of data from these platforms provides users with quicker, highly personalized and safer experiences, simultaneously optimizing the platform's real-time operations. As an example, Forbes, an American business magazine, forecasted in February 2023 that by 2026, 24% of retail purchases will occur online with the e-commerce market estimated to reach over $8.1 trillion. Social media commerce is projected to attain $2.9 trillion by 2026. Therefore, this surge in data volume generated via social networks and e-commerce platforms propels the edge artificial intelligence chips market's growth.

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What Are the Key Trends Driving Edge Artificial Intelligence Chips Market Growth?
Top-tier organizations in the field of edge artificial intelligence chips are crafting innovative platforms such as edge AI developer platforms, aiming to enhance their profit margins in the market. These platforms comprise an assortment of tools and resources aimed at facilitating developers to design and implement AI models on edge devices. For example, Ambarella Inc., an American semiconductor firm, rolled out a platform named the Cooper Developer Platform in January 2024. This platform comprises a pre-set collection of hardware and software development tools, including Cooper Metal, a variety of AI System-on-Chips (SoCs), and board-level hardware solutions. Designers are provided with the capacity to fully utilize Ambarella's AI performance with these versatile and user-friendly tools, effectively simplifying hardware complexities and enabling designers to focus on product development.

How Is the Edge Artificial Intelligence Chips Market Segmented?
The edge artificial intelligence chips market 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

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Which Companies Are Leading the Charge in Edge Artificial Intelligence Chips Market Innovation?
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

Which Regions Are Leading the Global Edge Artificial Intelligence Chips Market in Revenue?
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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