NEW YORK, December 12, 2024 /PRNewswire/ — Report on how AI is redefining the market landscape – The World Artificial Intelligence (AI) Chip Market it is estimated that the size will increase by $389.25 billion from 2024 to 2028, according to Technavio. The market is estimated to grow over 68.13% during the forecast period.
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Report attribute |
Details |
Reference year |
2023 |
Forecast period |
2024-2028 |
Historical data for |
2018 – 2022 |
Segments covered |
Product (ASIC, GPU, CPU, and FPGA), End User (Media & Advertising, BFSI, IT & Telecommunications, and others) and Geography (North America, Europe, APAC, South America, Middle East & Africa) |
Key Companies Covered |
Advanced Micro Devices Inc., Alphabet Inc., Baidu Inc., Broadcom Inc., Cerebras, Fujitsu Ltd., Graphcore Ltd., Huawei Technologies Co. Ltd., Intel Corp., International Business Machines Corp., MediaTek Inc., Microchip Technology Inc., NVIDIA Corp., NXP Semiconductors NV, Qualcomm Inc., SambaNova Systems Inc., Samsung Electronics Co. Ltd., SenseTime Group Inc., Taiwan Semiconductor Manufacturing Co. Ltd., and Tesla Inc, NVIDIA Corporation, Advanced Micro Devices, Inc., Intel Corporation, Micron Technology, Inc., Google, SK HYNIX INC., Qualcomm Technologies, Inc., Samsung, Huawei Technologies Co., Ltd., Apple Inc., Imagination Technologies, Graphcore, Cerebras, Mythic, Kalray, Blaize, Groq, Inc., HAILO TECHNOLOGIES LTD., GreenWaves Technologies, SiMa Technologies, Inc. |
Regions covered |
North America, Europe, APAC, South America, Middle East and Africa |
Outlook from the region
- North America
- Europe
- Asia
- Rest of the world
1. North America – North America is estimated at 51%. To the growth of the global market. The Artificial Intelligence (AI) Chip Market report forecasts the market growth based on revenue at global, regional and country levels from 2017 to 2027.
The AI chip market in North America is experiencing significant growth due to increasing investments in autonomous vehicle technology. Advanced systems such as ADAS, HUD, LiDAR and RADAR, integrated into these vehicles, generate and process large amounts of data in real time. In response, chipmakers are investing heavily in the research and development of AI chips suitable for autonomous vehicles. Major automotive original equipment manufacturers (OEMs) are working to commercialize autonomous vehicles, creating lucrative opportunities for AI chip makers to capitalize on this emerging market.
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Overview of segmentations
- Product
- 1.1 ASICs
- 1.2 GPUs
- 1.3 Processors
- 1.4 FPGAs
- 2.1 Media and advertising
- 2.2 BFSI
- 2.3 IT and telecommunications
- 2.4 Others
- 3.1 North America
- 3.2 Europe
- 3.3 Asia-Pacific
- 3.4 South America
- 3.5 Middle East And Africa
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1.1 Fastest Growing Segment:
Artificial intelligence (AI) chips, particularly application-specific integrated circuits (ASICs), are becoming increasingly popular in data center applications due to their superior performance and speed. ASICs are non-configurable custom chips that offer an instruction set and libraries for local data processing, acting as an accelerator for parallel algorithms. Google’s Tensor Processing Unit (TPU) is a great example, designed for deep neural networks and already used for Google Search and Google Street View. ASICs offer faster performance than GPUs, FPGAs, and CPUs, making them a preferred choice for data centers. TPUs have an instruction set that allows you to modify TensorFlow programs and develop new algorithms, making them a valuable asset for efficiently managing data. The use of ASICAI-based AI chips are expected to witness significant growth during the forecast period.
Research Analysis
Artificial Intelligence (AI) Chip Market: The global AI chip market is witnessing significant growth due to the increasing adoption of AI technologies across various industries. Deep learning and machine learning algorithms are driving demand for AI chips, which are specialized hardware components designed to accelerate AI calculations. These chips are essential to robotics, quantum computing and advanced AI applications. The market includes CPU, FPGA, GPU, System on Chip (SoC) and Multichip Module (MCM) solutions. AI chips find applications in industries such as healthcare, retail, finance, automotive, autonomous vehicles, IoT devices, and more. High-performance AI chips are crucial for training generative AI models and powering supercomputers. Ethical concerns surrounding AI are also fueling the development of specific integrated circuits. Key technologies include high-bandwidth memory and the Trainium2 chip. The market is evolving with the shift from cloud to edge computing.
Market Overview
Artificial Intelligence (AI) Chip Market: Overview The AI chip market is witnessing significant growth due to increasing demand for advanced AI technologies such as deep learning and machine learning across various industries . AI chips are specialized hardware components designed to accelerate AI algorithms and technologies, including neural networks, quantum computing, and cognitive computing. These chips are essential for powering AI applications in robotics, computer vision, natural language processing and other areas. The AI chip market includes different types of hardware components, such as CPUs, GPUs, FPGAs, ASICs, DSPs, and microcontrollers. Companies are investing heavily in developing AI chip lines, including Nvidia’s A100 chip, Ascend 910B chipset and H200 chipset, to meet the growing demand for energy-efficient and high-performance AI solutions. AI applications are prevalent across industries, including healthcare, retail, finance, automotive, and manufacturing. The use of AI in healthcare for health monitoring, health information access, personalized health, and treatment devices is gaining popularity, especially among the elderly population. In retail, AI is used for customer behavior analysis, inventory management, and personalized marketing. In finance, AI is used to fraud detection, risk assessment and algorithmic trading. The automotive industry is also adopting AI technologies for autonomous vehicles, advanced driver assistance systems and connected cars. The use of AI in manufacturing machines, smart homes, and IoT devices is increasing, leading to the growth of AI data centers and edge computing. However, ethical concerns surrounding AI and the risk of system failure or malfunction pose major challenges for the market. The development of specific integrated chips and multi-chip modules is a potential solution to address these challenges. The AI chip market is expected to continue to grow due to increasing demand for real-time applications, low latency, and big data processing. The market is also driven by the development of generative AI, large language models and other advanced AI technologies. The use of AI in mobile applications, gaming consoles, and personal computers is also expected to drive the market growth. In conclusion, the AI chip market is a rapidly growing market, driven by the increasing demand for advanced AI technologies and applications across various industries. The market is expected to continue to grow due to the development of energy-efficient and high-performance AI solutions, the increasing use of AI in various industries, and the increasing demand for real-time and low-latency applications. However, ethical concerns and the risks of system failure or dysfunction constitute major challenges that must be addressed.
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Key topics covered:
1 Summary
2 Market Landscape
3 Market sizing
4 Historical market size
5 Analysis of the five forces
6 Market Segmentation
7 Customer landscape
8 Geographic landscape
9 drivers, challenges and trends
10 Venodr Landscape
11 Supplier analysis
11.1 NVIDIA Company
11.2 Advanced Micro Devices, Inc.
11.3 Intel Company
11.4 Microns Technology, Inc.
11.5 Google, Saskatchewan HYNIX INC.
11.6 Qualcomm Technologies, Inc.
11.7 Samsung, Huawei Technologies Co., Ltd
11.8 Apple Inc.
11.9 Technologies of imagination
11.10 Graphcore
11.11 Cerebral
11.12 Mythical
11.13 Kalray
11.14 Blaise
11.15 Groq, Inc.
11.16 HAILO TECHNOLOGIES LTD
11.17 GreenWaves Technologies
11.18 SiMa Technologies, Inc.
12 Appendix
About Technavio
Technavio is a leading global technology research and consulting company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.
With more than 500 specialist analysts, Technavio’s reporting library includes more than 17,000 reports, covering 800 technologies, spread across 50 countries. Their customer base consists of businesses of all sizes, including more than 100 Fortune 500 companies. This growing customer base leverages Technavio’s comprehensive coverage, in-depth research, and actionable market intelligence to identify opportunities in existing markets and potentials and assess their competitive positions in changing market scenarios.
Contacts
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Jesse Maïda
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United States: +1 844 364 1100
United Kingdom: +44 203 893 3200
E-mail: (email protected)
Website: www.technavio.com/
SOURCE Technavio
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