The Asia Pacific Convolutional Neural Networks Market is expected to witness market growth of 41.0% CAGR during the forecast period (2024-2031).
The China market dominated the Asia Pacific Convolutional Neural Networks Market by Country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $9.77 billion by 2031. The Japan market is registering a CAGR of 40.1% during 2024-2031. Additionally, the India market is expected to showcase a CAGR of 42% during 2024-2031.
CNNs facilitate image-based searches where customers can upload photos to find similar products, enhancing the shopping experience. By analyzing shelf, CNNs help retailers monitor stock levels and store product placements, optimizing inventory control. CNNs analyze leaf to identify diseases early, helping farmers take proactive measures to protect crops and increase yields. CNNs can differentiate between crops and weeds in, enabling precision spraying and minimizing herbicide use, which promotes sustainable farming practices.
As this market evolves, several trends are shaping its future. Many smartphones and cameras now incorporate CNNs for features like facial recognition, automatic scene detection, and image enhancement, making advanced AI capabilities accessible to everyday users. Platforms like Netflix and YouTube use CNNs for content recommendation based on user preferences and viewing history, enhancing user engagement through personalized experiences.
The rapid growth of the IT industry in China is significantly impacting the expansion of this market. According to the State Council of the People’s Republic of China, the software and information technology services industry generated an impressive 12.33 trillion yuan (approximately 1.73 trillion U.S. dollars) in business revenues in 2023. This represents a remarkable year-on-year increase of 13.4%, with the growth rate accelerating by 2.2 percentage points compared to 2022. The substantial investments in the Indian medical device sector further fuel the need for sophisticated AI applications. In FY20, foreign investments in medical devices surged by 98% year-over-year, reaching approximately Rs. 2,196 crore (around US$301.01 million).
This influx of capital enables the development of cutting-edge medical technologies and encourages the integration of AI-driven solutions. CNNs, known for their prowess in image and signal processing, are becoming integral to various applications in the medical field, such as diagnostic imaging, patient monitoring, and predictive analytics. Hence, the remarkable growth of the IT industry in China and the burgeoning medical device industry in India is significantly influencing the expansion of the convolutional neural networks market.
The China market dominated the Asia Pacific Convolutional Neural Networks Market by Country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $9.77 billion by 2031. The Japan market is registering a CAGR of 40.1% during 2024-2031. Additionally, the India market is expected to showcase a CAGR of 42% during 2024-2031.
CNNs facilitate image-based searches where customers can upload photos to find similar products, enhancing the shopping experience. By analyzing shelf, CNNs help retailers monitor stock levels and store product placements, optimizing inventory control. CNNs analyze leaf to identify diseases early, helping farmers take proactive measures to protect crops and increase yields. CNNs can differentiate between crops and weeds in, enabling precision spraying and minimizing herbicide use, which promotes sustainable farming practices.
As this market evolves, several trends are shaping its future. Many smartphones and cameras now incorporate CNNs for features like facial recognition, automatic scene detection, and image enhancement, making advanced AI capabilities accessible to everyday users. Platforms like Netflix and YouTube use CNNs for content recommendation based on user preferences and viewing history, enhancing user engagement through personalized experiences.
The rapid growth of the IT industry in China is significantly impacting the expansion of this market. According to the State Council of the People’s Republic of China, the software and information technology services industry generated an impressive 12.33 trillion yuan (approximately 1.73 trillion U.S. dollars) in business revenues in 2023. This represents a remarkable year-on-year increase of 13.4%, with the growth rate accelerating by 2.2 percentage points compared to 2022. The substantial investments in the Indian medical device sector further fuel the need for sophisticated AI applications. In FY20, foreign investments in medical devices surged by 98% year-over-year, reaching approximately Rs. 2,196 crore (around US$301.01 million).
This influx of capital enables the development of cutting-edge medical technologies and encourages the integration of AI-driven solutions. CNNs, known for their prowess in image and signal processing, are becoming integral to various applications in the medical field, such as diagnostic imaging, patient monitoring, and predictive analytics. Hence, the remarkable growth of the IT industry in China and the burgeoning medical device industry in India is significantly influencing the expansion of the convolutional neural networks market.
List of Key Companies Profiled
- NVIDIA Corporation
- Google LLC
- Microsoft Corporation
- IBM Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- OpenAI, LLC
- Samsung Electronics Co., Ltd. (Samsung Group)
- Intel Corporation
- H2O.ai, Inc.
- Qualcomm Incorporated (Qualcomm Technologies, Inc.)
Market Report Segmentation
By Deployment Mode
- On-Premise
- Cloud
By Component
- Hardware
- Software
- Services
By Application
- Image & Video Recognition
- Natural Language Processing (NLP)
- Medical Image Analysis
- Autonomous Vehicles
- Robotics & Manufacturing
- Other Application
By Vertical
- Healthcare
- Automotive
- Retail & E-commerce
- IT & Telecommunications
- Manufacturing
- Aerospace & Defense
- Energy & Utilities
- Other Vertical
By Country
- China
- Japan
- India
- South Korea
- Australia
- Malaysia
- Rest of Asia Pacific
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. Asia Pacific Convolutional Neural Networks Market by Deployment Mode
Chapter 6. Asia Pacific Convolutional Neural Networks Market by Component
Chapter 7. Asia Pacific Convolutional Neural Networks Market by Application
Chapter 8. Asia Pacific Convolutional Neural Networks Market by Vertical
Chapter 9. Asia Pacific Convolutional Neural Networks Market by Country
Chapter 10. Company Profiles
Companies Mentioned
- NVIDIA Corporation
- Google LLC
- Microsoft Corporation
- IBM Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- OpenAI, LLC
- Samsung Electronics Co., Ltd. (Samsung Group)
- Intel Corporation
- H2O.ai, Inc.
- Qualcomm Incorporated (Qualcomm Technologies, Inc.)
Methodology
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