Press release
Edge Artificial Intelligence Chips Global Market Report 2024 - By Report, Share, Size, Demand, Outlook By 2033
Edge Artificial Intelligence Chips Market
The Business Research Company presents an extensive market research report on the Edge Artificial Intelligence Chips Global Market Report 2024, furnishing businesses with a competitive edge through a detailed examination of the market structure, encompassing estimates for various segments and sub-segments.
Furthermore, the report highlights on emerging trends, significant drivers, challenges, and opportunities, providing all necessary data for thriving in the industry. This report market research offers a comprehensive perspective, including an in-depth analysis of the present and future scenarios within the industry.
Market Sizing:
The edge artificial intelligence chips market size has grown rapidly in recent years. It will grow from $5.04 billion in 2023 to $5.99 billion in 2024 at a compound annual growth rate (CAGR) of 18.7%. 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 $11.68 billion in 2028 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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Key Market Players:
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
Market Drivers:
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 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.
Learn More About The Market Report -
https://www.thebusinessresearchcompany.com/report/edge-artificial-intelligence-chips-global-market-report
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
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