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LAMEA 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- Product Image
LAMEA 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- Product Image
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LAMEA 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

  • 167 Pages
  • October 2024
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6025637
Description Jump to:
The Latin America, Middle East and Africa Convolutional Neural Networks Market is expected to witness market growth of 43.3% CAGR during the forecast period (2024-2031).

The Brazil market dominated the LAMEA 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 $2.73 billion by 2031. The Argentina market is showcasing a CAGR of 45.3% during 2024-2031. Additionally, the UAE market would register a CAGR of 42% during 2024-2031.



Hospitals increasingly adopt CNNs for analyzing medical, improving diagnostic accuracy and efficiency. CNNs assist in detecting anomalies such as tumours or fractures in X-rays, CT scans, and MRIs. The COVID-19 pandemic accelerated the adoption of CNNs in telehealth solutions, enabling remote diagnosis through image analysis, which has become a vital part of modern healthcare.

Major automotive manufacturers and tech companies have invested heavily in CNN technology for autonomous vehicles, with companies like Tesla and Waymo using CNNs for real-time object detection and scene understanding. The adoption of CNNs in drones for navigation and obstacle avoidance is expanding, facilitating applications in delivery, agriculture, and environmental monitoring.

As the UAE advances toward its vision of smart cities, there is a growing need for sophisticated data processing capabilities, which CNNs are particularly adept at delivering. Implementing smart technologies in urban infrastructure generates vast amounts of data, ranging from traffic patterns and environmental monitoring to energy consumption and public safety. As the retail sector in Brazil expands, there is a rising demand for advanced analytics and AI solutions, particularly these networks. Retailers leverage CNNs to enhance customer experiences, optimize inventory management, and improve sales forecasting.

For instance, CNNs can analyze vast amounts of visual data from in-store cameras and online platforms to identify shopping patterns, assess customer preferences, and tailor marketing strategies accordingly. Thus, the growing focus on smart city development in the UAE and the expansion of the retail sector in Brazil is driving significant growth in 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

  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

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 LAMEA Convolutional Neural Networks Market, by Deployment Mode
1.4.2 LAMEA Convolutional Neural Networks Market, by Component
1.4.3 LAMEA Convolutional Neural Networks Market, by Application
1.4.4 LAMEA Convolutional Neural Networks Market, by Vertical
1.4.5 LAMEA 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. LAMEA Convolutional Neural Networks Market by Deployment Mode
5.1 LAMEA On-Premise Market by Country
5.2 LAMEA Cloud Market by Country
Chapter 6. LAMEA Convolutional Neural Networks Market by Component
6.1 LAMEA Hardware Market by Country
6.2 LAMEA Software Market by Country
6.3 LAMEA Services Market by Country
Chapter 7. LAMEA Convolutional Neural Networks Market by Application
7.1 LAMEA Image & Video Recognition Market by Country
7.2 LAMEA Natural Language Processing (NLP) Market by Country
7.3 LAMEA Medical Image Analysis Market by Country
7.4 LAMEA Autonomous Vehicles Market by Country
7.5 LAMEA Robotics & Manufacturing Market by Country
7.6 LAMEA Other Application Market by Country
Chapter 8. LAMEA Convolutional Neural Networks Market by Vertical
8.1 LAMEA Healthcare Market by Country
8.2 LAMEA Automotive Market by Country
8.3 LAMEA Retail & E-commerce Market by Country
8.4 LAMEA IT & Telecommunications Market by Country
8.5 LAMEA Manufacturing Market by Country
8.6 LAMEA Aerospace & Defense Market by Country
8.7 LAMEA Energy & Utilities Market by Country
8.8 LAMEA Other Vertical Market by Country
Chapter 9. LAMEA Convolutional Neural Networks Market by Country
9.1 Brazil Convolutional Neural Networks Market
9.1.1 Brazil Convolutional Neural Networks Market by Deployment Mode
9.1.2 Brazil Convolutional Neural Networks Market by Component
9.1.3 Brazil Convolutional Neural Networks Market by Application
9.1.4 Brazil Convolutional Neural Networks Market by Vertical
9.2 Argentina Convolutional Neural Networks Market
9.2.1 Argentina Convolutional Neural Networks Market by Deployment Mode
9.2.2 Argentina Convolutional Neural Networks Market by Component
9.2.3 Argentina Convolutional Neural Networks Market by Application
9.2.4 Argentina Convolutional Neural Networks Market by Vertical
9.3 UAE Convolutional Neural Networks Market
9.3.1 UAE Convolutional Neural Networks Market by Deployment Mode
9.3.2 UAE Convolutional Neural Networks Market by Component
9.3.3 UAE Convolutional Neural Networks Market by Application
9.3.4 UAE Convolutional Neural Networks Market by Vertical
9.4 Saudi Arabia Convolutional Neural Networks Market
9.4.1 Saudi Arabia Convolutional Neural Networks Market by Deployment Mode
9.4.2 Saudi Arabia Convolutional Neural Networks Market by Component
9.4.3 Saudi Arabia Convolutional Neural Networks Market by Application
9.4.4 Saudi Arabia Convolutional Neural Networks Market by Vertical
9.5 South Africa Convolutional Neural Networks Market
9.5.1 South Africa Convolutional Neural Networks Market by Deployment Mode
9.5.2 South Africa Convolutional Neural Networks Market by Component
9.5.3 South Africa Convolutional Neural Networks Market by Application
9.5.4 South Africa Convolutional Neural Networks Market by Vertical
9.6 Nigeria Convolutional Neural Networks Market
9.6.1 Nigeria Convolutional Neural Networks Market by Deployment Mode
9.6.2 Nigeria Convolutional Neural Networks Market by Component
9.6.3 Nigeria Convolutional Neural Networks Market by Application
9.6.4 Nigeria Convolutional Neural Networks Market by Vertical
9.7 Rest of LAMEA Convolutional Neural Networks Market
9.7.1 Rest of LAMEA Convolutional Neural Networks Market by Deployment Mode
9.7.2 Rest of LAMEA Convolutional Neural Networks Market by Component
9.7.3 Rest of LAMEA Convolutional Neural Networks Market by Application
9.7.4 Rest of LAMEA 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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