PUBLISHER: Polaris Market Research | PRODUCT CODE: 1132272
PUBLISHER: Polaris Market Research | PRODUCT CODE: 1132272
The global federated learning market size is expected to reach USD 266.77 million by 2030, according to a new study by Polaris Market Research. The report "Federated Learning Market Share, Size, Trends, Industry Analysis Report, By Application (Industrial Internet of Things, Drug Discovery, Risk Management, Augmented and Virtual Reality, Data Privacy Management, Others); By Industry Vertical; By Region; Segment Forecast, 2022 - 2030" gives a detailed insight into current market dynamics and provides analysis on future market growth.
ML enables development of applications that learn and adapt from data with greater accuracy over time without explicit instructions. It includes algorithms that are capable to create systems by understanding input and output information that describes them. ML can be provided by several types of algorithms such as decision trees, neural networks, and inductive logic programming.
Moreover, federated learning is the new era of secure artificial intelligence (AI), as this technique trains, tests, and provide data security. In addition, the data is difficult to be hacked due to the introduction of such method. Federated learning method has a huge potential, as it helps in securing sensitive and personal information of people and businesses. It also, aggregates outcome and recognizes familiar samples from various users, therefore, making the module robust.
Advent of cloud computing, deep federated learning, and parallel computing architectures; and rise in demand for AI capabilities such as image, speech, text, and recognition have fast-tracked the ongoing research associated with AI, fueling a new trend of rise in investment in developing premium AI hardware, which is capable of advancing application development. In addition, increase in interest of aerospace players to deploy AI across several applications is expected to boost demand for federated learning during the forecast period.
Moreover, the adoption of predictive and prescriptive analytics has been increasing. Predictive analytics is used to know the likelihood of certain events happening in the future, and prescriptive analytics provides solutions and actions to be taken in case of occurrence of such events. End-user industries have been recognizing the benefits of these analytical solutions and utilizing them to gain an edge over competitors. Widespread applications of predictive and prescriptive analytics would provide growth opportunities in the industry.
Federated Learning Market Report Highlights
The market for industrial internet of things segment is expected to hold a significant share in 2030 as its adoption offers greater performance and efficiency across industries
The automotive segment is expected to be the fastest growing segment during the forecast period. This is due rise in adoption for artificial intelligence (AI) enabled federated learning technique
Europe region will lead the global market by 2030 due to rising initiatives undertaken by the governments towards healthcare industry
The global market is highly competitive owing to the existence of large market players with global presence including Google Inc., IBM Corporation, Intel Corporation, Lifebit, NVIDIA Corporation, Secure AI Labs, and Sherpa.AI.
Polaris Market Research has segmented the federated learning market report based on application, industry vertical, and region.:
Federated Learning, Application Outlook (Revenue - USD Million, 2018 - 2030)
Industrial Internet of Things
Drug Discovery
Risk Management
Augmented and Virtual Reality
Data Privacy Management
Others
Federated Learning, Industry Vertical Outlook (Revenue - USD Million, 2018 - 2030)
Retail
Automotive
IT & Telecommunication
Healthcare
BFSI
Manufacturing
Others
Federated Learning, Regional Outlook (Revenue - USD Million, 2018 - 2030)
North America
U.S
Canada
Europe
Germany
UK
France
Italy
Spain
Russia
Netherlands
Asia Pacific
China
India
Japan
South Korea
Indonesia
Malaysia
Latin America
Argentina
Brazil
Mexico
Middle East & Africa
UAE
Saudi Arabia
Israel
South Africa
Figure 1 Global Federated Learning Market, 2018 - 2030 (USD Million)
Figure 2 Integrated Ecosystem
Figure 3 Research Methodology: Top-Down & Bottom-Up Approach
Figure 4 Market by Geography
Figure 5 Porter's Five Forces
Figure 6 Market by Industry Vertical
Figure 7 Global Federated Learning Market, by Industry Vertical, 2021 & 2030 (USD Million)
Figure 8 Market by Application
Figure 9 Global Federated Learning Market, by Application, 2021 & 2030 (USD Million)
Figure 10 Federated Learning Market Assessment, By Geography, 2018 - 2030 (USD Million)
Figure 11 Strategic Analysis - Federated Learning Market