PUBLISHER: KBV Research | PRODUCT CODE: 1575706
PUBLISHER: KBV Research | PRODUCT CODE: 1575706
The Latin America, Middle East and Africa Deep Learning Market would witness market growth of 36.4% CAGR during the forecast period (2024-2031).
The Brazil market dominated the LAMEA Deep Learning Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $13,410.4 million by 2031. The Argentina market is showcasing a CAGR of 38.2% during (2024 - 2031). Additionally, The UAE market would register a CAGR of 35.3% during (2024 - 2031).
E-commerce platforms such as Amazon and eBay use deep learning to analyze user behaviour and preferences, resulting in personalized product or content recommendations that improve the user experience and boost sales. Retailers implement visual search technology, enabling customers to upload images and find similar products online. For instance, Pinterest's Lens feature uses deep learning to help users discover items visually.
Deep learning models analyze sensor data from machine to enable proactive maintenance and reduced downtime. These models foresee and prevent failures before they occur, leading to increased operational efficiency and cost savings. In the manufacturing industry, deep learning systems analyze images in real time to inspect products for defects, thereby reducing the necessity for manual inspection and ensuring high quality.
The rising automotive sales in Saudi Arabia present an excellent opportunity for the deep learning market, particularly in areas such as autonomous driving, predictive maintenance, and advanced driver-assistance systems (ADAS). The functionality and safety of vehicles are being improved by the increasing use of deep learning algorithms, which are facilitating the development of features such as real-time traffic forecasting, obstacle detection, and enhanced navigation systems. The Saudi government's initiative to modernize and advance technology has increased demand for innovative solutions that utilize deep learning to improve the overall driving experience and optimize vehicle performance.
Based on Solution, the market is segmented into Software, Hardware (Graphics Processing Unit (GPU), Central Processing Unit (CPU), Field Programmable Gate Array (FPGA), and Application-Specific Integration Circuit (ASIC)), and Services (Integration Services, Installation Services, and Maintenance & Support Services). Based on Application, the market is segmented into Image recognition, Voice Recognition, Video Surveillance & Diagnostics, and Data Mining. Based on End-use, the market is segmented into Aerospace & Defense, Healthcare, Automotive, Retail, and Other End-use. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
List of Key Companies Profiled
LAMEA Deep Learning Market Report Segmentation
By Solution
By Application
By End-use
By Country