Published Date: 2020-11-06
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According to the Graphical Research new growth forecast report titled “Asia Pacific Artificial Intelligence (AI) Chipsets Market Size, By Product (Graphics Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC), Central Processing Unit (CPU), Field-Programmable Gate Array (FPGA), By Technology (Natural Language Processing (NLP), Robotic Process Automation (RPA), Computer Vision, Network Security), By Processing Type (Edge, Cloud), By Industry Vertical (Media & Advertising, Consumer Electronics, BFSI, IT & Telecom, Retail, Healthcare, Automotive)”, Estimated To Be Around USD 40 Billion By 2026.
The Asia Pacific AI chipsets market is gaining traction due to the increasing adoption of robots & automation in manufacturing and process industries. Several manufacturing industries are focusing on integrating collaborative robots, automated guided vehicles, and robotic grippers in the production facilities to increase productivity and reduce human intervention. These automated equipment can be integrated with AI chipsets for robotic process automation, computer vision, and natural language processing applications. The proliferation of robots in the Asia Pacific region will add new growth opportunities for the market.
The Field Programmable Gate Array (FPGA) segment is projected to grow at a significant CAGR of 45% over the forecast period. The growth is attributed to several high-end features offered by the FPGA architecture such as high-power efficiency, low-cost, and faster time-to-market. These features are increasing the adoption of FPGAs in smartphones and consumer wearable devices by replacing traditional CPU architecture. FPGA offers 50% faster processing performance in edge AI devices compared to GPU counterparts. The increasing demand for speech recognition, AI software, and virtual assistance in edge-computing devices will further boost the market growth for FPGA-based AI chipsets during the forecast period.
The Asia Pacific AI chipsets market from computer vision technology segment is majorly attributed to technological advancement in the fields of Augmented Reality/Virtual Reality (AR/VR), biometrics, and facial recognition systems. Computer vision offers a deep learning interface, connecting the real world with the virtual world. The above-mentioned feature is augmenting its adoption in the application sector, ranging from service robots to driverless cars. Several enterprises are focusing on implementing facial recognition systems in their businesses for safety & security applications, further augmenting the market growth. In January 2020, ATFX launched its biometric facial recognition system for financial services, covering big data, Artificial Intelligence, and cloud computing.
The cloud processing segment is anticipated to grow at a CAGR of 35% during the forecast timeline. The growth is majorly attributed to the rising adoption of cloud-based services in the enterprise sector. AI chipsets integrated into cloud-based services enhance efficiency, increase security, and reduce operational costs of enterprise networks. These chipsets have a high demand in public, private, and hybrid cloud infrastructures in the Asia Pacific region. In addition, the growing trend of work from home, Bring Your Own Devices (BYOD), and the emergence of cloud-based educational start-ups in the region, such as Byju’s, Vedantu, Toppr, etc., is creating a high workload on cloud servers. Companies are therefore focusing on establishing new cloud datacenters and cloud-server infrastructures in the region, further increasing the adoption of AI chipsets during the forecast period.
The Asia Pacific AI chipsets market from automotive segment is projected to grow at a CAGR of 45% during the forecast period. The growth is attributed to increasing investments by automotive OEMs to achieve Level-V autonomy in vehicles. AI-chipsets offer high-end features, such as core data acquisition, high-end processing, and enhanced display functions, increasing their adoption in advanced driver assistance systems for vehicles. Companies are extensively focusing on innovating AI-chipsets to address the growing demand for self-driving cars. For instance, in December 2019, NVIDIA Corporation launched ‘AGX Orin’, an AI chip for autonomous driving. The new chipset consists of 17 billion transistors with 200 trillion operations per second performance. The chipset is compatible with level-V or full self-driving cars.
China accounted for 40% market share in 2019 and the industry will exhibit high growth rate driven by rising investments by the Chinese government in AI in all major industry verticals across the country will fuel the demand for AI chipsets. For instance, in July 2017, the State Council of China introduced the ‘New Generation Artificial Intelligence Development Plan’, which focuses on building the domestic AI industry, worth nearly USD 150 billion, and becoming the world AI-leader by 2030. Such strategic initiatives by the local Chinese government will boost the adoption of AI chipsets in the market over the forecast timeline.
The major players in the Asia Pacific AI chipsets market are investing heavily in artificial intelligence technology to enhance their business operations and establish a market presence in the region. For instance, in June 2020, Baidu, Inc. announced to invest in artificial intelligence, cloud computing, and data server infrastructure development. The company aims to deploy more than five million intelligent cloud servers by 2030. Furthermore, in November 2019, Cambricon Technologies launched ‘Siyuan 220’, an edge AI chipset for applications in workstations and edge computing devices. Such investments will fuel the market growth in the coming years. Some of the key players in the APAC market are Baidu, Inc., Samsung Electronics, Horizon Robotics, MediaTec, Inc., Huawei Services (Hong Kong) Co., Limited, and ThinkForce, among others.
Asia Pacific Artificial Intelligence (AI) Chipsets market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue in USD million from 2016 to 2026 for the following segments:
Market Share, By Product
Market Size, By Technology
Market Trends, By Processing Type
Market Value, By Industry Vertical
The above information has been provided for the following countries:
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