The AI chip market is estimated to grow from USD 123.16 billion in 2024 to USD 311.58 billion by 2029, at a compound annual growth rate of 20.4% during the forecast period.
The revolution in AI has already happened to a great extent, and has been powered by the increasing deployment of Machine learning and Deep Learning algorithms across different industry verticals. This is driving a robust upswing in AI server shipments and correspondingly accelerating the requirement for state-of-the-art AI chips. Actually, the increasing importance of parallel computing in AI data centers and the increasing adoption of AI chips for High Performance Computing will accelerate the growth of the AI chip market.
Some of the key development strategies adopted by players operating in the AI chip market ecosystem include collaborations, partnerships, new product launches, and acquisitions. It enables them to augment their product portfolios and enhance their market share. It further helps amplify their presence in the market.
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Major AI Chip companies include:
For instance,
In June 2024, Advanced Micro Devices, Inc. (US) partnered with Microsoft (US) to deliver CoPilot+ PCs powered by Ryzen AI. This partnership supports the rapid acceleration of AI driving the increased demand for high-performance computing platforms.
In June 2024, Intel Corporation (US) and Aible, Inc. (US) collaborated to deliver GenAI and retrieval-augmented generation (RAG) solutions for enterprise customers. Aible Inc.’s CPU-based services offer a cost-effective and energy-efficient solution to customers. The RAG model supports natural language processing, decision support systems, recommendation systems, and content generation with Intel Xeon processors.
NVIDIA Corporation (US) designs and manufactures chipsets, computer graphics processors, and related multimedia software. The company operates through two reportable segments which are Compute & Networking and Graphics. The scope of the Graphics segment includes GeForce GPUs for gamers, game streaming services, NVIDIA RTX/Quadro for enterprise workstation graphics, virtual GPU for computing, automotive, and 3D internet applications. The Compute & Networking segment comprises computing platforms including data center, automotive AI, and solutions; networking; NVIDIA AI Enterprise software; and DGX Cloud. A computing platform packs a computer onto a single chip, and it uses multi-core CPUs and GPUs to power supercomputing that includes drones, autonomous robots, consoles, cars, and entertainment and mobile gaming devices.
The company offers GPUs for PCs and gaming under the Graphics segment. The company also delivers GPU acceleration for autonomous machines, laptops, desktops, supercomputers, and data centers. They invest heavily for research and development with an aim of advancement in GPU architecture, artificial intelligence and machine learning technologies. NVIDIA Corporation (US) carries out its operations from more than 50 offices in various countries in Americas, Asia and Europe regions. The company has various granted and pending patents in US jurisdiction related to the products manufactures and technology used in those products.
Advanced Micro Devices, Inc. (AMD):
Advanced Micro Devices, Inc. (AMD) (US) is a provider of semiconductor solutions that designs and integrates technology for graphics and computing. The company offers a wide range of products including accelerated processing units, processors, graphics, and system-on-chips. The company operates through four reportable segments which are Data Center, Gaming, Client, and Embedded. The portfolio of the Data Center segment includes server CPUs, FPGAS, DPUS, GPUs, and Adaptive SoC products for data centers. The Client segment consists of chipsets, CPUs, and APUs for desktop and notebook personal computers. The Gaming segment delas with discrete GPUs, semi-custom SoC products and development services used in entertainment platforms and computing devices. The scope of the Embedded segment includes embedded FPGAS, GPUs, CPUS, APUs, and Adaptive SoC products. AMD (US) caters to various applications including automotive, defense, industrial, networking, data center and computing, consumer electronics, networking & telecommunications, and healthcare.
AMD offers a range of chipsets optimized for AI and ML workloads. The AMD Ryzen Processors with Vega graphics onboard will put a wallop of AL processing into everyday desktop and notebook applications. For HPC and data centers, the AMD Instinct accelerators support up to 1.1 teraflops of FP64 performance along with industry-standard frameworks like TensorFlow and PyTorch. Advanced Micro Devices, Inc. (US) acquired Xilinx in February 2022. Xilinx designs and develops programmable semiconductor devices and related technologies, such as programmable system-on-chips (SoCs), printed circuit boards (PCBs), software design tools, and intellectual property (IP). AMD (US) has geographic presence in Hong Kong, Singapore, Japan, US, Europe, China and Taiwan. As of 30 December 2023, the company holds approximately 7,500 patents and 2,000 pending applications in US.
Related Reports:
AI Chip Market by Offerings (GPU, CPU, FPGA, NPU, TPU, Trainium, Inferentia, T-head, Athena ASIC, MTIA, LPU, Memory (DRAM (HBM, DDR)), Network (NIC/Network Adapters, Interconnects)), Function (Training, Inference) & Region – Global Forecast to 2029
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