Based on MarketsandMarkets™, The Federated Learning Market is Projected to Reach $210 Million by 2028, Growing at a CAGR of 10.6% during the Forecast Period

GlobeNewsWire
Wednesday, January 25, 2023 at 1:45pm UTC

Chicago, Jan. 25, 2023 (GLOBE NEWSWIRE) -- The global Federated Learning Market size to grow from USD 127 million in 2023 to USD 210 million by 2028, at a Compound Annual Growth Rate (CAGR) of 10.6% during the forecast period, according to a new report by MarketsandMarkets™. Primary components such as the enabling businesses to cooperatively utilizing a shared ML model by saving information on devices and the potential to enable predictive features on smart devices without impeding customer experience or leaking personal data are expected to offer growth opportunities for Federated Learning Market.

Browse in-depth TOC on "Federated Learning Market"

143 - Tables
52 - Figures
172 - Pages

Download Report Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=151896843

Scope of the Report

Report Metrics Details
Market Size value for 2023 US $127 million
Market Size value for 2028 US $210 million
CAGR Growth Rate 10.6%
Largest Market Europe
Market size available for years 2023–2028
Base year considered 2023
Forecast period 2023–2028
Segments covered Application, Vertical and Region
Geographies covered North America, Europe, APAC, MEA, and Latin America
Companies covered NVIDIA (US), Cloudera (US), IBM (US), Microsoft (US), Google (US), Intel(US), Owkin(US), Intellegens(UK), Edge Delta(US), Enveil(US), Lifebit(UK), DataFleets(US), Secure AI Labs(US), Sherpa.AI(Spain), Decentralized Machine Learning(Singapore), Consilient(US), Apheris(Germany), Acuratio(US), FEDML(US).

Prototype creation and edge computation, which is centered on federated learning and protected with encryption algorithm, are inclined to make substantial development in the coming years. As one billion-plus smartphones equipped with AI chips and possessing significant computing power get into the market in the next 3–5 years, many of the ML models will be able to run locally on these mobile devices. Distributing the heavy-duty analytics and computations over smartphones “on edge,” as opposed to central computing facilities, will drastically reduce time to develop data products such as hyper-personalized recommendation engines, eCommerce pricing engines. Enterprises will embrace a distributed ML model building framework for taking advantage of faster model deployment and to provide quicker response to fast-changing consumer behavior, besides a vastly reduced cost.

The Federated Learning Market, by verticals is segmented into BFSI, healthcare and life sciences, retail and eCommerce, energy and utilities, manufacturing, IT and telecommunication, and automotive and transportation verticals. The other verticals such as media and entertainment, and government do not have significant advances at the moment, but they are expected to continue to increase 8 to 10 years as the market continues to innovate. Presently, both healthcare and lifesciences verticals, and BFSI, have the most innovations in the Federated Learning Market, including research studies, confederations, cooperation, and a majority of implementations. These industries are likely to be among the first to implement federated learning solutions. Only a small percentage of firms are projected to examine federated learning solutions in the next 4-5 years, but that number is expected to expand with more discoveries by 2028.

Request Sample Pages @ https://www.marketsandmarkets.com/requestsampleNew.asp?id=151896843

The Federated Learning Market is segmented to various applications. The applications of federated learning are yet in the exploration stage. Key applications witnessing developments and initial deployments include drug discovery, data privacy and security management, and risk management. Federated learning has the ability to retrieve the greatest quantity of knowledge from datasets, allowing for incremental virtualization of drug development operations and increased efficiency in getting ever more better drug targets into clinical studies.

Federated Learning Market in terms of geographic presence is segmented into North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America (LA). Europe, followed by North America, is estimated to account for the largest market size in the Federated Learning Market during the forecast period respectively. The elements predicted to accelerate progress includes stringent data restrictions with the heavy emphasis upon information security, the concentration on innovation through studies, and rapid technological architecture advances throughout sectors. The Federated Learning Market in APAC is projected to grow at the highest Compound Annual Growth Rate (CAGR) from 2023 to 2028. The implementation of technological innovations such as big data analytics, AI, and IoT, and also continued attempts to incorporate data regulatory requirements, as well as a concentrate on hyper customization and interactional suggestion in assistance of the town's rapidly growing online market through key nations such as China, India, and Japan, are anticipated to propel the growth of federated learning solutions.

Major vendors in the global Federated Learning Market include NVIDIA (US), Cloudera (US), IBM (US), Microsoft (US), Google (US), Intel (US), Owkin (US), Intellegens (UK) Edge Delta (US), Enveil (US), Lifebit (UK), DataFleets (US), Secure AI Labs (US), and Sherpa.AI (Spain).

Browse Adjacent Markets: Analytics Market Research Reports & Consulting

Browse Other Reports:

Location Analytics Market - Global Forecast to 2027

Intelligent Document Processing Market - Global Forecast to 2027

Data Fabric Market - Global Forecast to 2027

MLOps Market - Global Forecast to 2027

Geospatial Imagery Analytics Market - Global Forecast to 2026


About MarketsandMarkets™

MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.

The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines - TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.

Built on the 'GIVE Growth' principle, we work with several Forbes Global 2000 B2B companies - helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.

To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.

Contact:
Mr. Aashish Mehra
MarketsandMarkets™ INC.
630 Dundee Road
Suite 430
Northbrook, IL 60062
USA: +1-888-600-6441
Email: sales@marketsandmarkets.com

Primary Logo