Artificial Intelligence Chip Global Market Report 2024

Artificial intelligence chips are specialized computer chips designed to optimize efficiency and speed specifically for AI-related computations. These chips excel in delivering high performance and rapid processing for AI applications, particularly in areas such as banking, finance, trading, insurance, and client engagements, facilitating the extraction of business insights at scale.

The primary types of artificial intelligence chips include GPU (Graphics Processing Unit), ASIC (Application-Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), CPU (Central Processing Unit), and other chip variants. GPUs, known for providing accelerated graphics processing, are often standalone cards plugged into the PCI Express (PCIe) bus, serving gamers with top-notch performance. The processing types encompass both edge and cloud computing. Technologies involved in these chips include System-on-Chip (SoC), System-in-Package (SiP), Multi-Chip Module, and other relevant technologies. These AI chips find applications across various domains such as natural language processing (NLP), robotics, computer vision, network security, and other specialized applications. Industries leveraging artificial intelligence chips span media and advertising, Banking, Financial Services, and Insurance (BFSI), Information Technology (IT) and telecommunications, retail, healthcare, automotive and transportation, and other sectors.

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

The artificial intelligence chip market size has grown exponentially in recent years. It will grow from $21.71 billion in 2023 to $30.04 billion in 2024 at a compound annual growth rate (CAGR) of 38.4%. The increase in the historic period can be attributed to factors such as the surge in data generation, growth in the healthcare sector, increased investment in AI research, a rise in retail and e-commerce activities, and overall economic growth.

The artificial intelligence chip market size is expected to see exponential growth in the next few years. It will grow to $117.07 billion in 2028 at a compound annual growth rate (CAGR) of 40.5%. The anticipated growth in the forecast period can be attributed to factors such as the increasing demand for data-intensive applications, advancements in machine learning algorithms, a growing automotive sector, rising financial services, and escalating urbanization. Key trends expected in this period involve the development of customized AI hardware, acceleration of edge AI, integration with quantum computing, the emergence of neuromorphic computing, and the adoption of energy-efficient AI chips.

The surge in smart homes and smart city demands is projected to be a significant driver for the artificial intelligence chips market. Smart cities incorporate digital technologies to enhance the lives of citizens, promoting sustainability and convenience. As an illustration, in March 2022, Saudi Arabia initiated a smart city project in Jeddah, unveiling the first two stages, encompassing a 500,000 square meter labor city within the 5 million square meter Smart City initiative. The project aligns with Saudi Vision 2030, emphasizing interconnected infrastructure and innovative digital technology to provide automated services. The escalating need for smart urban living is fueling the growth of artificial intelligence chips.

The increasing adoption of AI technologies is poised to drive the artificial intelligence chip market. These AI chips play a crucial role in supporting AI technologies, providing the essential hardware and computational capabilities for efficient execution of AI-related tasks. According to a May 2022 report from the International Business Machines Corporation (IBM), 35% of global companies have integrated AI into their operations, with an additional 42% exploring AI integration. This steady rise in AI adoption, increasing by four points compared to 2021, signifies the driving force behind the expansion of the artificial intelligence chip market.

Leading companies in the artificial intelligence chips market are pushing innovation and research, exemplified by the development of advanced technologies such as the Atom AI chip. Rebellions Inc., a South Korea-based company specializing in generative AI chips, introduced the Atom in February 2023. The Atom chip features a unique decentralized programming model and technology aimed at empowering users with highly powerful yet energy-efficient AI hardware. Anticipated to consume only about 20% of the power consumed by other prevailing powerful chips in the market, the Atom is designed to provide a domain-specific AI processor alongside optimized software integration.

Major enterprises within the artificial intelligence chip sector are pioneering innovative technological solutions, exemplified by the SN40L chip, in a strategic move to enhance their market profitability. SambaNova Systems, a United States-based company specializing in generative AI models, introduced the SN40L chip in September 2023. This chip is specifically crafted to facilitate customers in employing higher quality AI models at a reduced overall cost. Designed for large language models essential for enterprise applications, the SN40L chip can effectively power a 5 trillion parameter model. Engineered with two sophisticated memory types, the hardware combination allows users to operate larger AI models without compromising size for precision.

In August 2023, Advanced Micro Devices Inc., a prominent semiconductor company based in the United States, finalized the acquisition of Mipsology for an undisclosed sum. This strategic move by Advanced Micro Devices Inc. aims to fortify its array of products in the realm of artificial intelligence tools and solidify its competitive standing within the chip market. Mipsology, based in France, specializes in artificial intelligence software and tools.

Major companies operating in the artificial intelligence chip market include Intel Corporation, Mediatek Inc., NVIDIA Corporation, Qualcomm Technologies Inc., Advanced Micro Devices Inc., Alphabet Inc., NXP Semiconductors N.V, Micron Technology Inc., IBM Corporation, Apple Inc., Huawei Technologies Co Ltd., Mythic Inc., Samsung Electronics Co ltd., LG Corporation, Google LLC, Advanced Micro Devices Inc., Baidu, Mellanox Technologies, Xilinx Inc., Graphcore, Cerebras Systems, Habana Labs, Vinova Pte Ltd., MemryX Inc., BrainChip Holdings Ltd., NeuReality Ltd.

North America was the largest region in the artificial intelligence market in 2023. The regions covered in this artificial intelligence market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa.

The countries covered in the artificial intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA.

The artificial intelligence chips market consists of sales of application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), central processing units (CPUs), and GPUs. 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).

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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