The Latin America, Middle East and Africa Federated Learning Market would witness market growth of 14.5% CAGR during the forecast period (2022-2028).
In the marketing and finance industries, where raw data cannot be gathered ruthlessly for training models due to intellectual property, data privacy, and data security issues, federated learning has future potential as a modeling method that can protect data security. As a result, it is predicted that a federated model can be trained without exchanging data, which could be accomplished through federated learning. These factors would accelerate the growth of the federated learning market in the coming years.
All industries, including healthcare, have the potential to be transformed by machine learning. It can do so by leveraging its ability to develop medical insights to expedite medical research from cancer biomarker detection to patient screening as well as genetic prediction through imaging. These applications not only assist researchers to make better discoveries, but they also help the healthcare business deal with time and financial constraints. The current conventional strategy of combining data from many sources must be balanced against serious concerns about patient privacy and data security. Privacy rules apply to software that manages personal data. Personal data must be protected at all times in healthcare systems, and existing standard techniques, such as anonymization, may even necessitate the removal of data that could be vital for medical breakthroughs.
The UAE is a competitive market for the Information Communication Technology industry since it is a major hub for international trade and business within Mena countries. The Abu Dhabi Economic Vision 2030 and the UAE Vision 2021 government programs set out to construct a competitive skilled workforce and establish an open, effective, efficient, and internationally integrated business environment in order to reduce reliance on oil revenue and expand the private sector. The UAE government is implementing a number of efforts to help the knowledge economy grow. Smart services, machine-to-machine, and industrial internet connections are examples of Internet of Things prospects. Smart cities and telehealth have been used in the public sector, and enterprise applications encompass asset tracking, smart metering, and production optimization. The UAE, particularly Dubai, has emerged as a prominent global site for the implementation of IoT solutions to improve public infrastructure, with the goal of becoming a prominent smart country.
The Brazil market dominated the LAMEA Federated Learning Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $3,220 Thousands by 2028. The Argentina market is anticipated a CAGR of 15.2% during (2022 - 2028). Additionally, The UAE market would display a CAGR of 14.2% during (2022 - 2028).
Based on Application, the market is segmented into Drug Discovery, Risk Management, Online Visual Object Detection, Data Privacy & Security Management, Industrial Internet of Things, Augmented Reality/Virtual Reality, Shopping Experience Personalization, and Others. Based on Vertical, the market is segmented into Healthcare & Life Sciences, BFSI, IT & Telecommunication, Energy & Utilities, Manufacturing, Automotive & Transportation, Retail & Ecommerce, and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
Free Valuable Insights: The Global Federated Learning Market is Predict to reach $198.7 Million by 2028, at a CAGR of 11.1%
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Intel Corporation, Google LLC, Cloudera, Inc., NVIDIA Corporation, Edge Delta, Inc., DataFleets Ltd. (LiveRamp Holdings, Inc.), Enveil, and Secure AI Labs, Inc.
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