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Asia-Pacific Convolutional Neural Networks Market Size, Share & Trends Analysis Report By Deployment Mode, By Component, By Application, By Vertical, By Country and Growth Forecast, 2024 - 2031

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    Report

  • 170 Pages
  • October 2024
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6025730
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.

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
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific Convolutional Neural Networks Market, by Deployment Mode
1.4.2 Asia Pacific Convolutional Neural Networks Market, by Component
1.4.3 Asia Pacific Convolutional Neural Networks Market, by Application
1.4.4 Asia Pacific Convolutional Neural Networks Market, by Vertical
1.4.5 Asia Pacific Convolutional Neural Networks Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Market Share Analysis, 2023
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
4.4.2 Key Strategic Move: (Product Launches and Product Expansions : 2020, Aug - 2024, Sep) Leading Players
4.5 Porter Five Forces Analysis
Chapter 5. Asia Pacific Convolutional Neural Networks Market by Deployment Mode
5.1 Asia Pacific On-Premise Market by Country
5.2 Asia Pacific Cloud Market by Country
Chapter 6. Asia Pacific Convolutional Neural Networks Market by Component
6.1 Asia Pacific Hardware Market by Country
6.2 Asia Pacific Software Market by Country
6.3 Asia Pacific Services Market by Country
Chapter 7. Asia Pacific Convolutional Neural Networks Market by Application
7.1 Asia Pacific Image & Video Recognition Market by Country
7.2 Asia Pacific Natural Language Processing (NLP) Market by Country
7.3 Asia Pacific Medical Image Analysis Market by Country
7.4 Asia Pacific Autonomous Vehicles Market by Country
7.5 Asia Pacific Robotics & Manufacturing Market by Country
7.6 Asia Pacific Other Application Market by Country
Chapter 8. Asia Pacific Convolutional Neural Networks Market by Vertical
8.1 Asia Pacific Healthcare Market by Country
8.2 Asia Pacific Automotive Market by Country
8.3 Asia Pacific Retail & E-commerce Market by Country
8.4 Asia Pacific IT & Telecommunications Market by Country
8.5 Asia Pacific Manufacturing Market by Country
8.6 Asia Pacific Aerospace & Defense Market by Country
8.7 Asia Pacific Energy & Utilities Market by Country
8.8 Asia Pacific Other Vertical Market by Country
Chapter 9. Asia Pacific Convolutional Neural Networks Market by Country
9.1 China Convolutional Neural Networks Market
9.1.1 China Convolutional Neural Networks Market by Deployment Mode
9.1.2 China Convolutional Neural Networks Market by Component
9.1.3 China Convolutional Neural Networks Market by Application
9.1.4 China Convolutional Neural Networks Market by Vertical
9.2 Japan Convolutional Neural Networks Market
9.2.1 Japan Convolutional Neural Networks Market by Deployment Mode
9.2.2 Japan Convolutional Neural Networks Market by Component
9.2.3 Japan Convolutional Neural Networks Market by Application
9.2.4 Japan Convolutional Neural Networks Market by Vertical
9.3 India Convolutional Neural Networks Market
9.3.1 India Convolutional Neural Networks Market by Deployment Mode
9.3.2 India Convolutional Neural Networks Market by Component
9.3.3 India Convolutional Neural Networks Market by Application
9.3.4 India Convolutional Neural Networks Market by Vertical
9.4 South Korea Convolutional Neural Networks Market
9.4.1 South Korea Convolutional Neural Networks Market by Deployment Mode
9.4.2 South Korea Convolutional Neural Networks Market by Component
9.4.3 South Korea Convolutional Neural Networks Market by Application
9.4.4 South Korea Convolutional Neural Networks Market by Vertical
9.5 Australia Convolutional Neural Networks Market
9.5.1 Australia Convolutional Neural Networks Market by Deployment Mode
9.5.2 Australia Convolutional Neural Networks Market by Component
9.5.3 Australia Convolutional Neural Networks Market by Application
9.5.4 Australia Convolutional Neural Networks Market by Vertical
9.6 Malaysia Convolutional Neural Networks Market
9.6.1 Malaysia Convolutional Neural Networks Market by Deployment Mode
9.6.2 Malaysia Convolutional Neural Networks Market by Component
9.6.3 Malaysia Convolutional Neural Networks Market by Application
9.6.4 Malaysia Convolutional Neural Networks Market by Vertical
9.7 Rest of Asia Pacific Convolutional Neural Networks Market
9.7.1 Rest of Asia Pacific Convolutional Neural Networks Market by Deployment Mode
9.7.2 Rest of Asia Pacific Convolutional Neural Networks Market by Component
9.7.3 Rest of Asia Pacific Convolutional Neural Networks Market by Application
9.7.4 Rest of Asia Pacific Convolutional Neural Networks Market by Vertical
Chapter 10. Company Profiles
10.1 NVIDIA Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Research & Development Expenses
10.1.5 Recent strategies and developments:
10.1.5.1 Product Launches and Product Expansions:
10.1.6 SWOT Analysis
10.2 Google LLC
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expense
10.2.5 Recent strategies and developments:
10.2.5.1 Product Launches and Product Expansions:
10.2.6 SWOT Analysis
10.3 Microsoft Corporation
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expenses
10.3.5 Recent strategies and developments:
10.3.5.1 Product Launches and Product Expansions:
10.3.6 SWOT Analysis
10.4 IBM Corporation
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Regional & Segmental Analysis
10.4.4 Research & Development Expenses
10.4.5 Recent strategies and developments:
10.4.5.1 Product Launches and Product Expansions:
10.4.6 SWOT Analysis
10.5 Amazon Web Services, Inc. (Amazon.com, Inc.)
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental Analysis
10.5.4 Recent strategies and developments:
10.5.4.1 Partnerships, Collaborations, and Agreements:
10.5.4.2 Product Launches and Product Expansions:
10.5.5 SWOT Analysis
10.6 OpenAI, L.L.C.
10.6.1 Company Overview
10.6.2 Recent strategies and developments:
10.6.2.1 Product Launches and Product Expansions:
10.6.2.2 Acquisition and Mergers:
10.6.3 SWOT Analysis
10.7 Samsung Electronics Co., Ltd. (Samsung Group)
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental and Regional Analysis
10.7.4 Research & Development Expenses
10.7.5 Recent strategies and developments:
10.7.5.1 Product Launches and Product Expansions:
10.7.5.2 Acquisition and Mergers:
10.7.6 SWOT Analysis
10.8 Intel Corporation
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental and Regional Analysis
10.8.4 Research & Development Expenses
10.8.5 Recent strategies and developments:
10.8.5.1 Product Launches and Product Expansions:
10.8.6 SWOT Analysis
10.9 H2O.ai, Inc.
10.9.1 Company Overview
10.9.2 Recent strategies and developments:
10.9.2.1 Partnerships, Collaborations, and Agreements:
10.9.2.2 Product Launches and Product Expansions:
10.10. Qualcomm Incorporated (Qualcomm Technologies, Inc.)
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental and Regional Analysis
10.10.4 Research & Development Expense
10.10.5 Recent strategies and developments:
10.10.5.1 Product Launches and Product Expansions:
10.10.6 SWOT Analysis

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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