AI Chips Market Presents and Future Statistics

AI Chips Market Presents and Future Statistics | Forecast to 2032

Posted 2023-04-11 13:18:17

According to a recent report by Reports and Data, the global AI Chips Market size was USD 14.9 billion in 2022, with an expected revenue compound annual growth rate (CAGR) of 40% over the forecast period. The growth of the market is being driven by increased competition for AI-powered devices like smartphones, laptops, and wearables, as well as advancements in deep learning and machine learning technology. There is also an increased need for enhanced data processing, storage, and transfer capabilities, and the expansion of AI application across various industries like healthcare, finance, and retail.

Furthermore, the report highlights that the increased need for edge computing, which allows data to be processed at the network's edge, is expected to drive market growth. Additionally, the growing adoption of Internet of Things (IoT) devices is expected to drive market revenue growth.

To get a sample copy of the report, click on @ https://www.reportsanddata.com/download-free-sample/2752

The report provides some key highlights, including that the CPU division is predicted to hold the largest portion of revenue during the forecast period, and the automated car and robotics applications category is estimated to make up the largest share of revenue. The North American market is predicted to have the most revenue share, while a substantial increase in revenue growth rate is anticipated for the Asia Pacific market.

Driving factors of AI Chips Market

Increased competition for AI-powered devices such as smartphones, laptops, and wearables.
Advancements in deep learning and machine learning technology.
The expansion of AI application across various industries like healthcare, finance, and retail.
Increased need for enhanced data processing, storage, and transfer capabilities.
The growing adoption of Internet of Things (IoT) devices.
Increased need for edge computing, which allows data to be processed at the network's edge rather than in a centralised data centre.
Increased demand for advanced intelligent devices and the increased usage of robots in a variety of sectors.
Existence of big technological enterprises, a solid economy, and increased demand for advanced AI applications in areas such as driverless cars and robotics.
Increasing demand for AI-based devices and the widespread use of robotics in countries like China and India.

Some of the notable innovations in the AI Chips Market

Neural Processing Units (NPUs): These are specialized processors designed to handle complex AI tasks and accelerate deep learning algorithms. NPUs are becoming increasingly popular in AI-powered devices such as smartphones and smart home assistants.
Edge Computing: This technology allows data to be processed at the network's edge rather than in a centralised data centre. Edge computing is becoming more popular as it helps to minimize latency and enhance data processing efficiency.
Quantum Computing: Quantum computing holds the potential to revolutionize the AI industry by enabling faster and more efficient processing of complex AI algorithms.
Neuromorphic Computing: This technology aims to mimic the way the human brain processes information, offering a new approach to AI computing.
Customized Chipsets: Many companies are developing customized chipsets tailored to specific AI applications, such as image recognition or natural language processing. This approach can significantly enhance the performance of AI-powered devices.
Autonomous AI: Autonomous AI refers to AI systems that can operate without human intervention, making real-time decisions and adapting to changing environments. This innovation has the potential to transform industries such as transportation, healthcare, and manufacturing.

Some major companies in the global market

NVIDIA Corporation, Intel Corporation, Samsung Electronics Co. Ltd., Qualcomm Technologies Inc., MediaTek Inc., Huawei Technologies Co., Ltd., Xilinx Inc., Advanced Micro Devices (AMD), Broadcom Inc., Texas Instruments Inc., Micron Technology Inc., ARM Holdings plc., Apple Inc., IBM Corporation, and Baidu Inc. The report also highlights Huawei and Amazon as companies that use AI chipsets to drive revenue growth through their products and services.

To know more about the report @ https://www.reportsanddata.com/report-detail/ai-artificial-intelligence-chip-market

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