Edge Artificial Intelligence Chips Global Market Report 2024

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 witnessed in the historical period can be attributed to applications in the medical field, a heightened interest and adoption of virtual and augmented reality, the popularity of interactive and immersive gaming experiences, advancements in robotics, as well as 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 anticipated growth in the forecast period can be attributed to the emergence of 5G technology, the miniaturization of tracking devices, broader adoption in navigation systems, the demand for 3D positioning, and the increasing adoption of wearables. Significant trends expected in the forecast period encompass the growth of minimally invasive surgical procedures, expansion in oncology applications, adoption in orthopedic surgery, integration with augmented reality and navigation systems, and the development of portable and wireless tracking systems.

The anticipated surge in the volume of data generated by social media and e-commerce platforms is poised to drive the growth of the edge artificial intelligence chips market. In the context of social media and e-commerce platforms, the term "volume of data" pertains to the sheer quantity of digital information generated, processed, and stored within these platforms. The integration of edge AI chips with the substantial volume of data from these platforms facilitates faster, more personalized, and more secure user experiences, concurrently optimizing real-time operations of the platforms. As reported by Forbes, a US-based business magazine, in February 2023, online retail purchases are projected to constitute 24% of total retail transactions by 2026, with the e-commerce market reaching a valuation exceeding $8.1 trillion. Additionally, social media commerce is anticipated to reach $2.9 trillion by 2026. Consequently, the upsurge in data volume from social media and e-commerce platforms emerges as a driving force behind the growth of the edge artificial intelligence chips market.

Prominent players within the edge artificial intelligence chips market are strategically focusing on the development of innovative platforms, exemplified by the introduction of edge AI developer platforms, to enhance their market competitiveness. An Edge AI developer platform comprises a curated set of tools and resources tailored 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, unveiled the Cooper Developer Platform. This platform encompasses a preconfigured suite of hardware and software development tools, including Cooper Metal, a series of AI System-on-Chips (SoCs), and board-level hardware solutions. Designers can harness Ambarella's AI performance through user-friendly and comprehensive tools, abstracting the complexities of hardware and allowing them to focus on product development.

In October 2023, Renesas Electronics, a Japanese semiconductor manufacturer, entered into a partnership with EdgeCortix to jointly develop edge artificial intelligence (AI) solutions. The objective of this collaboration is to expedite the standardization of the developer experience across Renesas' extensive offerings and support for heterogeneous architectures. EdgeCortix, a Japan-based IC design startup specializing in energy-efficient AI processing solutions at the edge, including AI chips, is a key partner in this strategic initiative.

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.

North America was the largest region in the edge artificial intelligence chips market in 2023. 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. The countries covered in the edge artificial intelligence chips market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The edge artificial intelligence chips market includes revenues earned by entities by providing services such as inference processing, low-latency execution, power-efficient operation, privacy enhancement, and edge computing support. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The edge artificial intelligence chips market consists of sales of applications such as autonomous vehicles, industrial automation, smart appliances, and security systems. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

Edge Artificial Intelligence (AI) chips, also recognized as edge AI processors or inference chips, are specialized hardware components meticulously designed to execute AI-related tasks directly on edge devices, negating the reliance on cloud-based servers or data centers.

The primary categories of edge artificial intelligence chips encompass the Central Processing Unit (CPU), Graphics Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC), and Field Programmable Gate Arrays (FPGAs). The Central Processing Unit (CPU), often acknowledged as the computational "brain" of a computer, assumes a pivotal role in executing instructions and tasks within a computer system. It finds application across diverse device types, including consumer and enterprise devices, and serves various functions such as training and inference. Its utilization extends across sectors such as automotive, manufacturing, healthcare, consumer electronics, and other end-user domains.

The edge artificial intelligence chips market research report is one of a series of new reports that provides edge artificial intelligence chips market statistics, including edge artificial intelligence chips industry global market size, regional shares, competitors with edge artificial intelligence chips market share, detailed edge artificial intelligence chips market segments, market trends, and opportunities, and any further data you may need to thrive in the edge artificial intelligence chips industry. This edge artificial intelligence chips market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.


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