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Federated Learning Solutions Market by Application, Vertical and Region – Global Forecast to 2028

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Dublin, April 21, 2021 (GLOBE NEWSWIRE) — The “Global Federated Learning Solutions Market by Application (Drug Discovery, Industrial IoT), Vertical (Healthcare & Life Sciences, BFSI, Manufacturing, Retail & e-Commerce, Energy & Utilities), and Region – Forecast to 2028” report has been added to ResearchAndMarkets.com’s offering.

The global federated learning solutions market size 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.

Among verticals, the manufacturing segment is forecast to grow at a the highest CAGR during the forecast period

The federated learning solutions market is segmented on verticals into BFSI, healthcare and life sciences, retail and e-Commerce, energy and utilities, and manufacturing, and other verticals (telecommunications and IT, media and entertainment, and government). The healthcare and life sciences vertical is expected to account for the largest market size during the forecast period. Moreover, the manufacturing vertical is expected to grow at the highest CAGR during the forecast period. With the increasing focus on Industrial Internet of Things (IIoT) and the rise in competition, manufacturing companies are prioritizing the analysis of data collected from numerous sources, including web, mobile, stores, and social media.

Among regions, Asia Pacific (APAC) is projected to grow at the highest CAGR during the forecast period

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The federated learning solutions market in APAC is projected to grow at the highest CAGR from 2023 to 2028. The increase in the adoption of emerging technologies, such as big data analytics, AI, and IoT, and ongoing developments to introduce data regulations, as well as focus on hyper-personalization and contextual recommendation in support of budding e-Commerce markets in key countries such as China, India, and Japan are expected to drive the growth of federated learning solutions in the region.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary
3.1 Forecast 2023-2028 (Optimistic/As-Is/Pessimistic)
3.2 Summary of Key Findings

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4 Market Overview and Industry Trends
4.1 Introduction
4.2 Federated Learning: Types
4.3 Federated Learning: Evolution
4.4 Federated Learning: Architecture
4.5 Artificial Intelligence: Ecosystem
4.6 Research Projects: Federated Learning
4.6.1 Machine Learning Ledger Orchestration for Drug Discovery (MELLODDY)
4.6.1.1 Participants
4.6.2 FEDAI
4.6.3 PaddlePaddle
4.6.4 FeatureCloud
4.6.5 Musketeer Project
4.7 Market Dynamics
4.7.1 Drivers
4.7.1.1 Growing Need to Increase Learning Between Devices and Organization
4.7.1.2 Ability to Ensure Better Data Privacy and Security by Training Algorithms on Decentralized Devices
4.7.2 Restraints
4.7.2.1 Lack of Skilled Technical Expertise
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
4.8 Impact of Drivers, Restraints, Opportunities, and Challenges on the Federated Learning Solutions Market
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
4.9.4 WeBank Introduced Federated Learning Model for Anti-Money Laundering
4.9.5 Intellegens Solution Adoption May Help Clinicals Analyze Heart Rate Data
4.10 Patent Analysis
4.10.1 Methodology
4.10.2 Document Type
4.10.3 Innovation and Patent Applications
4.10.3.1 Top Applicants
4.11 Supply Chain Analysis
4.12 Technology Analysis
4.12.1 Federated Learning vs Distributed Machine Learning
4.12.2 Federated Learning vs Edge Computing
4.12.3 Federated Learning vs Federated Database Systems
4.12.4 Federated Learning vs Swarm Learning

5 Federated Learning Solutions Market, by Application
5.1 Introduction
5.2 Drug Discovery
5.2.1 Ability to Accelerate Drug Discovery by Enabling Increased Collaborations for Faster Treatment to Drive the Adoption of Federated Learning Solutions
5.3 Shopping Experience Personalization
5.3.1 Growing Focus on Enabling Personalized Shopping Experience while Ensuring Customer Data Privacy and Network Traffic Reduction to Drive the Adoption of Federated Learning Solutions
5.4 Data Privacy and Security Management
5.4.1 Federated Learning Solutions Enable Better Data Privacy and Security Management by Limiting the Need to Move Data Across Networks by Training Algorithm
5.5 Risk Management
5.5.1 Ability to Enable BFSI Organizations to Collaborate and Learn a Shared Prediction Model Without Sharing Data and Perform Efficient Credit Risk Assessment to Drive the Adoption of Federated Learning Solutions
5.6 Industrial Internet of Things
5.6.1 Federated Learning Solutions Enable Predictive Maintenance on Edge Devices Without Centralizing Data and Increase Operational Efficiency
5.7 Online Visual Object Detection
5.7.1 Ability to Enable Safety Monitoring by Enhanced Online Visual Object Detection for Smart City Applications to Drive the Adoption of Federated Learning Solutions
5.8 Other Applications

6 Federated Learning Solutions Market, by Vertical
6.1 Introduction
6.2 Banking, Financial Services, and Insurance
6.2.1 Ability to Reduce Malicious Activities and Protect Customer Data to Drive the Adoption of Federated Learning Solutions in the BFSI Vertical
6.2.2 Banking, Financial Services, and Insurance: Forecast 2023-2028 (Optimistic/As-Is/Pessimistic)
6.3 Healthcare and Life Sciences
6.3.1 Large Pool of Applications, Multiple Research Initiatives, and Collaborations Among Technology Vendors and Healthcare and Life Sciences Organizations to Drive Market Growth
6.3.2 Healthcare and Life Sciences: Forecast 2023-2028 (Optimistic/As-Is/Pessimistic)
6.4 Retail and e-Commerce
6.4.1 Ability to Enable Personalized Customer Experiences while Ensuring Customer Data Privacy to Drive the Adoption of Federated Learning in the Retail and e-Commerce Vertical
6.4.2 Retail and e-Commerce: Forecast 2023-2028 (Optimistic/As-Is/Pessimistic)
6.5 Manufacturing
6.5.1 Focus on Smart Manufacturing and Need for Enhanced Operational Intelligence to Drive the Adoption of Federated Learning Across the Manufacturing Vertical
6.5.2 Manufacturing: Forecast 2023-2028 (Optimistic/As-Is/Pessimistic)
6.6 Energy and Utilities
6.6.1 Need to Control Cyberattacks and Improve Power Grid Resilience to Drive the Adoption of Federated Learning in the Energy and Utilities Vertical
6.6.2 Energy and Utilities: Forecast 2023-2028(Optimistic/As-Is/Pessimistic)
6.7 Other Verticals

7 Federated Learning Solutions Market, by Region
7.1 Introduction
7.2 North America
7.3 Europe
7.4 Asia-Pacific
7.5 Rest of World

8 Company Profiles
8.1 Introduction
8.2 NVIDIA
8.3 Cloudera
8.4 IBM
8.5 Microsoft
8.6 Google
8.7 Owkin
8.8 Intellegens
8.9 DataFleets
8.10 Edge Delta
8.11 Enveil
8.12 Lifebit
8.13 Secure AI Labs
8.14 Sherpa.ai
8.15 Decentralized Machine Learning
8.16 Consilient
8.17 Competitive Benchmarking

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9 Adjacent and Related Markets
9.1 Introduction
9.2 Machine Learning Market – Global Forecast to 2022
9.2.1 Market Definition
9.2.2 Market Overview
9.2.2.1 Machine Learning Market, by Vertical
9.2.2.2 Machine Learning Market, by Deployment Mode
9.2.2.3 Machine Learning Market, by Organization Size
9.2.2.4 Machine Learning Market, by Service
9.2.2.5 Machine Learning Market, by Region
9.3 Edge AI Software Market – Global Forecast to 2026
9.3.1 Market Definition
9.3.2 Market Overview
9.3.2.1 Edge AI Software Market, by Component
9.3.2.2 Edge AI Software Market, by Data Source
9.3.2.3 Edge AI Software Market, by Application
9.3.2.4 Edge AI Software Market, by Vertical
9.3.2.5 Edge AI Software Market, by Region

10 Appendix
10.1 Industry Experts
10.2 Discussion Guide
10.3 Knowledge Store: The Subscription Portal
10.4 Available Customizations

For more information about this report visit https://www.researchandmarkets.com/r/tz6kr0


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Artificial Intelligence

Relu Secures FDA 510(k) and CE Marking for Revolutionary Dental Software Relu® Creator

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LEUVEN, Belgium, Oct. 1, 2024 /PRNewswire/ — Relu, a pioneer in artificial intelligence (AI) assisted segmentation for dental labs and software companies, proudly announces the dual achievement of 510(k) clearance by the U.S. Food and Drug Administration (FDA) and CE Mark approval by an EU Notified Body. These regulatory milestones authorize the commercial distribution of the Relu® Creator, the cutting-edge dental tool that enables users to create 3D anatomical models from patients in just minutes.

 
 
FDA clearance signifies compliance with U.S. medical device standards, while the CE Mark confirms adherence to EU regulations for product safety and consumer protection. This dual recognition underscores Relu’s commitment to excellence in the oral health sector.
“We are thrilled to have attained both FDA and CE approval for the Relu® Creator,” stated Adriaan Van Gerven, CTO and Co-founder, of Relu. “These significant achievements are a testament to Relu’s dedication to creating superior technology that meets the highest international safety and quality standards. We’re poised to revolutionize patient and dentist experiences across both continents.”
“This approval paves the way for our advanced technology to enter US and EU dental markets with the highest potential for growth. Having led strategy in Dental, AI and Orthodontic sectors, I consider this achievement a key differentiator that sets Relu® Creator apart. This is a major step forward in Relu’s mission to modernize dental care,” said Bindu Saran, former Global Head of Orthodontic Technology at Straumann, former Sr. Manager of R&D at Ormco, and Board Member at Relu.
The Relu® Creator integrates cutting-edge AI to deliver features such as automated anatomical identification, and enhanced 3D imaging for dental diagnostics and treatment planning. By improving precision and increasing overall efficiency in dental procedures, Relu® Creator is set to be an essential tool for modern dental clinics.
About Relu
Relu is founded in 2019 with the dream of making dental treatments safer and faster. They plug in advanced computer vision and artificial intelligence to automate manual workflows. Their Relu® Engine and Relu® Creator are used by dental lab and software partners for more than thousands of orthodontic and implant treatments every day. Relu is headquartered in Leuven, BE with an office in Boston, MA, USA. Learn more at relu.eu.
© 2024 Relu
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Danish telecoms giant TDC NET chooses IFS Cloud to boost workforce efficiency and modernize infrastructure

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LONDON, Oct. 1, 2024 /PRNewswire/ — IFS, the leading provider of enterprise cloud and Industrial AI software, today announced that TDC NET, Denmark’s largest provider of telecommunications infrastructure, has chosen to implement IFS Cloud to supercharge operational efficiencies across its business.

A longstanding IFS customer, TDC Net will use the IFS Cloud for Field Service Management to streamline its workforce management (WFM) processes, including field service operations. Implementing IFS Cloud will also allow the Danish telco company to consolidate its WFM systems into a single platform, eliminating process duplication and controlling costs.
IFS Cloud for Field Service Management including IFS Planning and Scheduling Optimization (IFS PSO) will allow TDC NET to assign the right technicians with the appropriate skills to the right jobs and dynamically schedule tasks based on real-time data such as technician availability, location, and traffic conditions. This enhanced efficiency is critical as TDC NET continues its mission to transition its nationwide network infrastructure from copper to fiber, implement IoT solutions, and adopt AI technologies – all in a sustainable way to reach the company’s net zero target in 2030.
Beyond workforce management IFS Cloud will enable TDC NET to consolidate its wider IT operations, removing legacy infrastructure and reducing the number of current systems across the business.
Carsten Rasmussen, Head of IT enablement in TDC Net, said: “As we work towards phasing out copper infrastructure and becoming a modern digital infrastructure provider, consolidating our IT systems is critical. Partnering with IFS and accessing IFS Cloud will give us the field service and resource management capabilities we need to simplify, automate, and build a sustainable architecture that meets the demands of the new digital age.”
Jesper Illum, Country Manager, Denmark, IFS, said: “TDC Net is not only Denmark’s largest provider of telecommunications infrastructure but also a forward-thinking company committed to transforming its operations with fiber and 5G technologies. IFS Cloud will help it scale its systems, increase automation, and improve customer deliveries.”
IFS partner, Infosys, will implement and roll out IFS Cloud and the associated services.
About TDC NET
TDC NET is a Danish telecommunications company focused on building, operating and maintaining telecommunications infrastructure in Denmark. It provides a wide range of services, including fiber broadband and the best 5G mobile network in Denmark. TDC NET plays a key role in digitalising Denmark by investing in and upgrading network infrastucture to ensure high-quality connectivity and access for both individuals and businesses. For more information, please visit tdcnet.com
About IFS
IFS is the world’s leading provider of Industrial AI and enterprise software for hardcore businesses that make, service, and power our planet. Our technology enables businesses which manufacture goods, maintain complex assets, and manage service-focused operations to unlock the transformative power of Industrial AI™ to enhance productivity, efficiency, and sustainability.IFS Cloud is a fully composable AI-powered platform, designed for ultimate flexibility and adaptability to our customers’ specific requirements and business evolution. It spans the needs of Enterprise Resource Planning (ERP), Enterprise Asset Management (EAM), Supply Chain Management (SCM), Information Technology Service Management (ITSM), and Field Service Management (FSM). IFS technology leverages AI, machine learning, real-time data and analytics to empower our customers to make informed strategic decisions and excel at their Moment of Service™.IFS was founded in 1983 by five university friends who pitched a tent outside our first customer’s site to ensure they would be available 24/7 and the needs of the customer would come first. Since then, IFS has grown into a global leader with over 6,500 employees in 80 countries. Driven by those foundational values of agility, customer-centricity, and trust, IFS is recognized worldwide for delivering value and supporting strategic transformations. We are the most recommended supplier in our sector. Visit ifs.com to learn why.
IFS Press Contacts:
Europe / MEA / APJ: Adam GillbeIFS, Director of Corporate & Executive CommunicationsEmail: [email protected] Phone: +44 7775 114 856
North America / LATAM: Mairi MorganIFS, Director of Corporate & Executive CommunicationsEmail: [email protected] Phone: +44 7918 607 299
This information was brought to you by Cision http://news.cision.com
https://news.cision.com/ifs/r/danish-telecoms-giant-tdc-net-chooses-ifs-cloud-to-boost-workforce-efficiency-and-modernize-infrastr,c4045209
The following files are available for download:
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TraceLink Releases Amadeus, the First Generative AI Assistant for Accelerating the Digitalization of Supply Networks on the Opus Platform

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Trained on a rich set of information from a unified content repository, Opus Orchestration Architects, Solution Designers, Network Administrators, and those simply interested in learning more about TraceLink’s solutions are empowered with information in seconds
BOSTON, Oct. 1, 2024 /PRNewswire/ — TraceLink, the largest end-to-end digital network platform for intelligent orchestration of the supply chain, today announced the launch of Amadeus, an AI Assistant to help users across the supply chain configure and optimize supply networks. Powered by advanced Large Language Model (LLM) algorithms, Amadeus allows users to find answers across a large volume of the TraceLink University educational content ecosystem, including developer resources, educational “how-to” materials, and technical documentation, delivering detailed, accurate responses tailored to their needs.

Whether navigating through extensive resources, searching for specific content, or exploring related topics, Amadeus provides intelligent answers drawn from a knowledge base refreshed on a daily basis. Its advanced search capabilities and context-aware assistance with source URL and citations ensure a smooth, reliable, current, and efficient content discovery process. With instant access to TraceLink University documents, educational whitepapers, case studies, and more, Amadeus delivers quick, within-seconds responses tailored to specific customer use cases, helping users solve complex business problems with confidence.
“With Amadeus, we are offering a powerful way for customers to engage with the wealth of knowledge within TraceLink University,” said Shabbir Dahod, President and CEO at TraceLink. “By integrating generative AI and LLMs with our extensive content library, Amadeus helps users to quickly find the information they need to optimize their supply chain operations. This is just the beginning of how TraceLink aims to harness AI to further transform supply chain management in the future.”
Amadeus’ AI functionality is further enriched by its robust safeguards. Built-in guardrails and alignment with OpenAI’s safety protocols verify that responses are relevant and accurate, eliminating AI hallucinations and keeping users on track. With these AI safety features built into Amadeus, users receive the most applicable and trusted answers, helping them make informed decisions in real-time. Looking forward, Amadeus will securely integrate content from customers’ own orchestration networks, thereby enabling a powerful AI-driven experience on top of end-to-end supply chain network intelligence to leverage predictions to drive business results.
Learn more about TraceLink’s Opus Magnum release, the only no-code network digitalization platform designed to democratize access to end-to-end supply chain integration and orchestration.
See Opus Magnum live at FutureLink Barcelona 2024, the only thought-leadership, education, and networking event for life sciences and healthcare leaders needing critical intelligence and better collaboration across supply chain relationships, from October 2-4, 2024. With keynotes headlined by the industry’s top thought leaders, a full day of TraceLink University educational sessions, three orchestration tracks led by customers and solution partners, and an immersive product and solution exhibition, this year’s FutureLink will focus on the end-to-end digitalization of your supply chain to link your enterprise systems and processes to the network. Register now.
About TraceLink:
TraceLink Inc. is the largest end-to-end intelligent supply chain platform for life sciences and healthcare, enabling end-to-end orchestration by connecting more than 291,000 healthcare and life sciences entities through its B2N Integrate-Once™ network. Leading businesses trust TraceLink to deliver complete global connectivity, visibility, and traceability of healthcare products, ensuring that every patient gets the medicines they need when needed, safely and securely.
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