Asia Pacific Deep Learning Chip Market

The deep learning chip market in Asia Pacific is expected to grow from US$ 372.0 Mn in 2018 to US$ 5,702.2 Mn by the year 2027 with a CAGR of 35.7% from the year 2019 to 2027.

Driving factor such as the rising significance of quantum computing is propelling the growth of the deep learning chip market. Further, the growing adoption of deep learning chips mainly for edge devices is anticipated to propel the deep learning chip market growth in the near future. Quantum computing takes seconds to finish a calculation that would otherwise takes more time. Quantum computers are an innovative transformation of artificial intelligence, machine learning, and big data. Therefore, prominence of quantum computing is expected to drive the growth of deep learning chip market. Furthermore, quantum computing is beneficial for various factors including, portfolio optimization, fraud detection and risk management, and the areas where immediate data feedback is required. In addition to that, quantum algorithms based on artificial intelligence and machine learning help empower businesses by identifying bidding strategies and trading opportunities for promotional advertisements. This helps to respond in the most efficient way to changes in consumer demand and changing market. The hybrid between classical and quantum driven software with the use of deep learning chip is expected to improve and enhance the quality of products and services in the future.

The deep learning chip market is segmented on the basis of industry vertical into media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others. Artificial intelligence allows businesses to prioritize and automate decision making, analyze big complex structured and unstructured data to provide deeper insights, and improve efficiency by accurate planning. Industry verticals such as banking and retail generates huge amount of data ranging from operations data to customer feedbacks. Availability of huge data is a perfect condition for application of deep learning chip technology in various business processes. During the forecast period of 2019 to 2027, the BFSI segment is anticipated to be the largest contributor in the deep learning chip market and is anticipated to continue its dominance during the forest period.

The China dominated the deep learning chip market in 2018 and is expected to dominate the market with the highest share in the Asia Pacific region through the forecast period. The creation of China’s first “national laboratory for deep learning,” was initiated in Beijing in a move that could help the country surpass the US in developing AI. In 2017, The National Development and Reform Commission (NDRC) approved the plan to open up a national engineering lab for researching and implementing deep learning technologies. China is at the forefront of new and emerging technologies such as AI, and the adoption and implementation rate of AI is high across all major industry verticals. The government is keen in maintaining China’s stronghold and competitiveness, especially in the adoption of advanced technologies. The above-mentioned factors are, therefore, contributing to the growth of the deep learning chip market in the country. The figure given below highlights the revenue share of the rest of Asia Pacific in the deep learning chip market in the forecast period:

Rest of Asia Pacific Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ Mn)

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Asia Pacific Deep Learning Chip Strategic Insights

Strategic insights for the Asia Pacific Deep Learning Chip provides data-driven analysis of the industry landscape, including current trends, key players, and regional nuances. These insights offer actionable recommendations, enabling readers to differentiate themselves from competitors by identifying untapped segments or developing unique value propositions. Leveraging data analytics, these insights help industry players anticipate the market shifts, whether investors, manufacturers, or other stakeholders. A future-oriented perspective is essential, helping stakeholders anticipate market shifts and position themselves for long-term success in this dynamic region. Ultimately, effective strategic insights empower readers to make informed decisions that drive profitability and achieve their business objectives within the market.

Asia Pacific Deep Learning Chip Report Scope

Asia Pacific Deep Learning Chip Regional Insights

The geographic scope of the Asia Pacific Deep Learning Chip refers to the specific areas in which a business operates and competes. Understanding local distinctions, such as diverse consumer preferences (e.g., demand for specific plug types or battery backup durations), varying economic conditions, and regulatory environments, is crucial for tailoring strategies to specific markets. Businesses can expand their reach by identifying underserved areas or adapting their offerings to meet local demands. A clear market focus allows for more effective resource allocation, targeted marketing campaigns, and better positioning against local competitors, ultimately driving growth in those targeted areas.

ASIA PACIFIC DEEP LEARNING CHIP - MARKET SEGMENTATION

ASIA PACIFIC DEEP LEARNING CHIP - By Chip Type

• GPU
• ASIC
• FPGA
• CPU
• Others

ASIA PACIFIC DEEP LEARNING CHIP - By Technology

• System-on-Chip
• System-in-Package
• Multi-chip Module
• Others

ASIA PACIFIC DEEP LEARNING CHIP - By Industry Vertical

• Media & Advertising
• BFSI
• IT & Telecom
• Retail
• Healthcare
• Automotive & Transportation
• Others

ASIA PACIFIC DEEP LEARNING CHIP - By Country

• Australia
• China
• India
• Japan
• South Korea
• Rest of APAC

Deep Learning Chip Market - Companies Mentioned

• Advanced Micro Devices, Inc.
• Amazon.com, Inc.
• Huawei Technologies Co., Ltd.
• Baidu, Inc.
• Alphabet Inc. (Google)
• Intel Corporation
• NVIDIA Corporation
• Qualcomm Technologies, Inc.
• Samsung Electronics Co. Ltd.
• Xilinx Inc.