Edge AI Software Market to Reach USD 3363.7 Million by 2026 at CAGR 24.8% - Valuates Reports
Edge AI Software Market is Segmented
by Solutions (Software Tools, Platforms),
by Application (Autonomous Vehicles Access Management Video Surveillance Remote Monitoring & Predictive Maintenance Telemetry Others). The report covers global opportunity analysis and industry forecast from 2021 to 2026. It is published on
Valuates Reports in the
Software Category.
The global Edge AI Software market size is projected to reach USD 3363.7 Million by 2026, from USD 713.4 Million in 2019, at a CAGR of 24.8% during the forecast period 2021-2026.
Major factors driving the growth of the Edge AI software market are:
Increasing enterprise workloads on the cloud and rapid growth in the number of intelligent applications
4.7.1.2 Ability to Ensure Better Data Privacy and Security by Training Algorithms on Decentralized Devices
4.7.2 Restraints
4.7.3 Opportunities
4.7.3.1 Potential to Enable Companies to Leverage a Shared Ml Model Collaboratively by Keeping Data on Devices
4.7.3.2 Capability to Enable Predictive Features on Smart Devices Without Impacting User Experience and Leaking 4.7.4 Challenges
4.7.4.1 Issues of High Latency and Communication Inefficiency
4.7.4.2 System Heterogeneity and Issue in Interoperability
4.7.4.3 Indirect Information Leakage
4.9 Use Case Analysis
4.9.1 WeBank and a Car Rental Service Provider Enable Insurance Industry to Reduce Data Traffic Violations Through Federated Learning
4.9.2 Federated Learning Enable Healthcare Companies to Encrypt and Protect Patient Data
4.9.3 WeBank and Extreme Vision Introduced Online Visual Object Detection Platform Powered by Federated Learning to Store Data in Cloud
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Federated Learning Solutions Market worth $201 million by 2028 - Exclusive Report by MarketsandMarkets Federated Learning Solutions Market by Application (Drug Discovery, Industrial IoT), Vertical (Healthcare and Life Sciences, BFSI, Manufacturing, Retail and eCommerce, Energy and Utilities), and Region - Global Forecast to 2028 , published by MarketsandMarkets, as per as-is scenario, the global federated learning solutions market is projected to grow from USD 117 million in 2023 to USD 201 million by 2028, at a Compound Annual Growth Rate (CAGR) of 11.4% during the forecast period.
Various factors such as the potential to enable companies to leverage a shared ML model collaboratively by keeping data on devices and the capability to enable predictive features on smart devices without impacting user experience and leaking private information are expected to offer growth opportunities for federated learning solutions during the forecast period.
by Application (Drug Discovery, Industrial IoT), Vertical (Healthcare and Life Sciences, BFSI, Manufacturing, Retail and eCommerce, Energy and Utilities), and Region - Global Forecast to 2028 , published by MarketsandMarkets™, as per as-is scenario, the global federated learning solutions market is projected to grow from USD 117 million in 2023 to USD 201 million by 2028, at a Compound Annual Growth Rate (CAGR) of 11.4% during the forecast period.
Various factors such as the potential to enable companies to leverage a shared ML model collaboratively by keeping data on devices and the capability to enable predictive features on smart devices without impacting user experience and leaking private information are expected to offer growth opportunities for federated learning solutions during the forecast period.