Press release
2025-2034 Federated-Learning Edge-Display Market Outlook: Key Drivers, Emerging Challenges, and Strategic Insights
Federated Learning Edge Display Market
What Will the Federated-Learning Edge-Display Industry Market Size Be by 2025?
The market of federated-learning edge-display has witnessed a phenomenal upward trend in the past few years. Predictions suggest a leap from $1.80 billion in 2024 to a staggering $2.22 billion in 2025. This corresponds to a compound annual growth rate (CAGR) of 23.3%. Factors such as the rising implementation of edge artificial intelligence solutions, heightened concerns about data privacy, an increase in the number of connected Internet of Things devices, a growing demand for low-latency processing, and an heightened requirement for decentralized machine learning frameworks, have all contributed to this historic period growth.
What's the Long-Term Growth Forecast for the Federated-Learning Edge-Display Market Size Through 2029?
Anticipated to experience considerable expansion in the upcoming years, the size of the federated-learning edge-display market is poised to hit $5.09 billion by 2029, progressing with a CAGR of 23.0%. The proliferation in the forecast period is credited to the escalating adoption of hybrid edge-cloud systems, mounting requirements from healthcare and automotive industries, growing reliance on decentralized frameworks, amplified regulatory demands for general data protection regulation, and the burgeoning implementation of smart city initiatives. The key trends predicted for the forecast period involve progressions in federated learning frameworks, edge-to-cloud orchestration innovations, amalgamation with fifth-generation mobile networks and blockchain technologies, evolution of privacy-preserving AI solutions, and advancements in interoperable software platforms.
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What Are the Key Growth Drivers Fueling the Federated-Learning Edge-Display Market Expansion?
The proliferation of connected devices is anticipated to stimulate the expansion of the federated-learning edge-display market in the future. Connected devices, which are electronic gadgets that exchange data, facilitate remote management, and support automation over a network, are proliferating due to the swift development of the Internet of Things (IoT). This surge enables routine items to have internet access and the capability to share data. Federated-Learning Edge-Display aids these devices by allowing local data processing and AI model instruction on the device itself, diminishing the requirement to transmit sensitive data to central servers. This enhances privacy, reduces latency, and optimizes real-time decision-making. For instance, Ericsson, a telecommunications company based in Sweden, reported that global IoT connections skyrocketed to 18.8 billion in 2024, and are projected to soar to 43.0 billion by 2030. Hence, the increasing use of connected devices is fueling the federated-learning edge-display market's growth. The upswing in apprehensions about data privacy is predicted to energize the federated-learning edge-display market's growth. Data privacy concerns relate to fears of unauthorized access, misuse, or disclosure of personal and sensitive data. The rise in data privacy concerns is fueled by intensifying data infringements and cyberattacks, which expose personal and sensitive information, making individuals and organizations more wary about their data collection, storage, and sharing methods. Federated-learning edge-display addresses data privacy worries by locally processing data on edge devices, rather than sending it to a central server. This ensures sensitive information remains on the device while still allowing cooperative AI model training. An example of this is the Information Commissioner's Office (ICO), a UK-based data protection and privacy law regulator, reporting in May 2024 that cyber-related incidents made up 25.9% of the personal data breaches reported to them between 2022 and 2023, increasing to 32.5% in the past 12 months. The ICO consistently updates its website with breach statistics, emphasizing the persistent upsurge in data security threats. Consequently, growing data privacy concerns are driving the federated-learning edge-display market's growth.
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How Is the Federated-Learning Edge-Display Market Segmented?
The federated learning edge-displa market covered in this report is segmented as
1) By Component: Hardware, Software, Services
2) By Display Type: Light Emitting Diode, Liquid Crystal Display, Organic Light Emitting Diode, Electronic Paper
3) Deployment Mode: On-Premises, Cloud
4) By Application: Healthcare, Automotive, Retail, Smart Cities, Industrial, Other Applications
5) By End User: Enterprises, Government, Consumer, Other End-Users
Subsegments:
1) By Hardware: Edge Devices, Gateways, Sensors
2) By Software: Federated Learning Platforms, Data Management Software, Security And Privacy Software
3) By Services: Consulting, Deployment And Integration, Maintenance And Support
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Which Companies Are Leading the Charge in Federated-Learning Edge-Display Market Innovation?
Major companies operating in the federated-learning edge-display market are Dynamo AI Inc., Apple Inc., Alibaba Group Holding Limited, Dell Technologies Inc., Lenovo Group Limited, IBM Corporation, Nvidia Corp., Intel Corporation, Qualcomm Technologies Inc., ADLINK Technology Inc., Huawei Technologies Co. Ltd., Scale Computing, Edgify, Scaleout Systems AB, AI Sweden, BrainChip Holdings Ltd., FedML Inc., Rhino Health Inc., Dialzara, Guardora
Which Regions Are Leading the Global Federated-Learning Edge-Display Market in Revenue?
North America was the largest region in the federated-learning edge-display market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in federated learning edge-display report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
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