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The global artificial intelligence chipset market size is expected to reach USD 59.2 billion by 2025. The artificial intelligence (AI) chipset market is anticipated to expand at a CAGR of 33.6% from 2019 to 2025. An artificial intelligence chipset is built on the concept of adding a dedicated component in an electronic device, to execute machine learning tasks. In addition, an increased amount of data has led to the need for high-speed processors and faster computing, which is addressed by incorporating artificial intelligence into the set of electronic components. For instance, Apple has implemented a neural engine in its A11 Bionic chip’s GPU to speed-up the third-party applications. With the growing implementation of AI in smartphones and other smart devices, the growth in the market has been boosted.

With the rise in artificial intelligence applications ranging from smartphones to the automobile industry, the adoption of AI-enabled chipsets has been noted considerably. In addition, the adoption of smart homes and smart cities is directly influencing the AI chipset market’s growth by providing numerous opportunities. High demand in high-speed processors due to increased data complexity is one of the major factors driving the growth of the market.  

Artificial intelligence chipset is being adopted rapidly in the consumer electronics industry owing to the rising demand for faster processors. New types of hardware/semiconductor accelerators are being introduced with the rapid evolution in artificial intelligence with machine learning and deep learning. AI has been introduced to almost every industry and majorly in consumer electronics, which has come up with numerous opportunities in the semiconductors industry. Growing demand for faster computing processors with reduced operational and maintenance costs has certainly boosted the AI chipset market growth.

Artificial Intelligence Chipset Market Report Highlights

1. On the basis of chipset type, the GPU dominated the artificial intelligence chip market in 2018. However, GPU alone is also used to boost the computing speed and performance of the chipsets, but major companies are using GPU as the main processor and CPU as an auxiliary processor while building an artificial intelligence chipset.

2. On the basis of workload domain, the training segment accounted for significant market share. The training chipsets market is dominated by the GPU segment of NVIDIA Corporation, possessing massively parallel architectures. Thus, the training workload holds significant shares in the market for AI chipset.

3. The increasing adoption of cloud-based computing in data centers for enhanced efficiency reduced operational cost, and improved infrastructural management are the factors influencing the growth of the cloud AI computing segment.

4. The integration of artificial intelligence using machine learning and deep learning with a set of electronic components is estimated to remain a substantial growth opportunity for the market. Prominent companies as IBM Corporation are significantly involved in the integration of new artificial intelligence capabilities such as natural language dialogue and storytelling in their AI chipset tools.

5. In 2018, the consumer electronics vertical represented a significant share in the market owing to an increasing number of artificial intelligence chipsets deployments in smartphones and other smart devices. 

6. North America dominated the artificial intelligence chipset market with 39.0% share in 2018. The dominance can be attributed to the large number of U.S. based tech giants in the region.

7. In September 2020, Kneron launched KL520 SoC, an AI processor to achieve very high AI performance while maintaining low power operation.

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Artificial Intelligence Chipset Market Segmentation

Grand View Research has segmented the global artificial intelligence chipset market based on chipset type, workload domain, computing technology, vertical, and region:

AI Chipset Type Outlook (Revenue, USD Million, 2014 – 2025)

1. CPU

2. GPU

3. FPGA

4. ASIC

5. Others

AI Chipset Workload Domain Outlook (Revenue, USD Million, 2014 – 2025)

1. Training

2. Inference

AI Chipset Computing Technology Outlook (Revenue, USD Million, 2014 – 2025)

1. Cloud AI Computing

2. Edge AI Computing

AI Chipset Vertical Outlook (Revenue, USD Million, 2014 – 2025)

1. Healthcare

2. Manufacturing

3. Automotive

4. Retail & E-Commerce

5. Marketing

6. Consumer Electronics

7. BFSI

8. Others

AI Chipset Regional Outlook (Revenue, USD Million, 2014 – 2025)

1. North America

1. The U.S.

2. Canada

3. Mexico

2. Europe

1. The U.K.

2. Germany

3. France

3. Asia Pacific

1. China

2. Japan

3. India

4. South America

1. Brazil

5. Middle East and Africa (MEA)

Key Players in the Artificial Intelligence Chipset Market

1. Advanced Micro Devices, Inc.

2. Google Inc.

3. Intel Corporation

4. Baidu, Inc.

5. Graphcore

6. Qualcomm Technologies, Inc.

7. Apple Inc.

8. Mythic

9. Huawei Technologies Co., Ltd.

10. Xilinx Inc

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