Federated Learning Solutions Market

Federated learning is an advanced framework which claims to solve most of the problems AI faces today, so Artificial Intelligence and Machine Learning technologies can be further improved for the future. In layman’s terms, federated learning is a framework which proposes taking the singularity out of the machine learning process and expanding it across a selection of devices. Hence most devices already have advanced technology, this theory proposes using it so that the AI has unrivaled access to data. Federated learning is changing the way how machine learning models are practiced. Companies are focusing their efforts on carrying out extensive research on federated learning. Google, for instance, has introduced the first production-level federated learning framework, which will create a number of federated learning-based applications such as next-word prediction, on-device item rating and content recommendation which in turn is propelling the Federated Learning Solutions Market. Companies are also able to develop their models and artificial intelligence implementations via federated learning. Federated learning solutions in healthcare could assist healthcare workers treat patients better and discover drugs quickly. Federated learning solution within a business or an organization is generally motivated by legislation, such as federated learning through a company’s divisions which has a prominent role in the growth of federated learning solutions market. In addition to this, the federated learning solutions allow hospitals to minimize network strain while also allowing private learning between various devices or organizations which is boosting the growth of federated learning solutions market. However, the key restraining factor of the federated learning solutions market growth is dearth of skilled technical workforce. 

As federated learning is a new concept, hence, employees are striving to understand and incorporate federated learning models for training data. The federated learning method distributes the machine learning operation. It allows businesses to learn a common model collectively using training data on the system while retaining the data on the device. It divides the requirement for the ML algorithm from the requirement to store the data in the cloud. This can be a great market opportunity for propelling the growth of the federated learning solutions market. Furthermore, the potential to enable predictive features on smart devices without affecting the user experience and leaking private information is also creating opportunity to the federated learning solutions market growth.

The global Federated Learning Solutions Market is segregated on the basis of Application as Drug Discovery, Data privacy and Security Management, Shopping Experience Personalization, Industrial Internet of Things (IIoT) and Other Applications. Based on Vertical the global Federated Learning Solutions Market is segmented in BFSI, Healthcare and Life Sciences, Retail and eCommerce, Manufacturing and Others.

The global Federated Learning Solutions Market report provides geographic analysis covering regions, such as Europe, North America, Asia Pacific, and Rest of The World. The Federated Learning Solutions Market for each region is further segmented for major countries including the U.S., Canada, Germany, the U.K., France, Italy, China, India, Japan, Brazil, South Africa, and others.

Competitive Analysis

Cloudera, Inc., Consilient, DataFleets Ltd., Decentralized Machine Learning, Edge Delta, Inc. and others are among the major players in the global Federated Learning Solutions Market. The companies studied in terms of product strategy and various n several growth and expansion strategies to gain a competitive edge in the market. The major players not only follow value chain integration with business operations in multiple stages of the value chain.

• In March 2021, NVIDIA introduced the NVIDIA AI Enterprise, an exclusive software suite of enterprise-grade AI tools and frameworks optimized, certified, and supported by NVIDIA which run on VMware vSphere. NVIDIA AI Enterprise allows customers to decrease AI model development time from 80 weeks to just eight weeks and enables them to deploy and manage advanced AI applications on VMware vSphere.
• In February 2021, Enveil launched new version of ZeroReveal 3.0. It provides the homomorphic encryption-powered abilities through an efficient and decentralized framework designed to minimize the risk and address business challenges, along with data sharing, monetization, collaboration and regulatory compliance. The solution improvements delivered in 3.0 releases empower integration, performance, and user experience attributed for both Enveil’s ZeroReveal Search and ZeroReveal Machine Learning product lines.

 The global Federated Learning Solutions Market has been segmented as below:

Federated Learning Solutions Market, By Application

• Drug Discovery
• Data privacy and Security Management
• Shopping Experience Personalization
• Industrial Internet of Things (IIoT)
• Other Applications

Federated Learning Solutions Market, By Vertical

• BFSI
• Healthcare and Life Sciences
• Retail and eCommerce
• Manufacturing
• Others

Federated Learning Solutions Market, By Region

• Europe
• North America
• Asia Pacific
• Rest of The World

Federated Learning Solutions Market, By Company

• Cloudera, Inc.
• Consilient
• DataFleets Ltd.
• Decentralized Machine Learning
• Edge Delta, Inc.
• Enveil, Inc.
• Extreme Vision
• Google LLC by Alphabet Inc.
• Intellegens Limited
• International Business Machines Corporation
• Lifebit
• Microsoft Corporation
• Nvidia Corporation
• Owkin Inc.
• Secure AI Labs
• Sherpa.ai
• WeBank Co. Ltd.

The report covers the below scope:

• Global Federated Learning Solutions Market sizes from 2020 to 2026, along with CAGR for 2020-2026
• Market size comparison for 2019 vs 2026, with actual data for 2019, estimates for 2019 and forecast from 2020 to 2026
• Global Federated Learning Solutions Market trends, covering comprehensive range of consumer trends & manufacturer trends
• Value chain analysis covering participants from raw material suppliers to the downstream buyer in the global Federated Learning Solutions Market
• Major market opportunities and challenges in forecast timeframe to be focused
• Competitive landscape with analysis on competition pattern, portfolio comparisons, development trends and strategic management
• Comprehensive company profiles of the key industry players

The years considered for the study are as follows:

• Base year - 2019
• Estimated year - 2019
• Projected year - 2020
• Forecast period - 2021 to 2026

Report Scope:

The global Federated Learning Solutions Market report scope includes detailed study covering underlying factors influencing the industry trends. The report covers analysis on regional and country level market dynamics. The scope also covers competitive overview providing company market shares along with company profiles for major revenue contributing companies. The report scope includes detailed competitive outlook covering market shares and profiles key participants in the global Federated Learning Solutions Market share. Major industry players with significant revenue share include Cloudera, Inc., Consilient, DataFleets Ltd., Decentralized Machine Learning, Edge Delta, Inc. and others.

Why to Buy this Report:

• Gain detailed insights on the Federated Learning Solutions industry trends
• Find complete analysis on the market status
• Identify the Federated Learning Solutions Market opportunities and growth segments
• Analyse competitive dynamics by evaluating business segments & product portfolios
• Facilitate strategy planning and industry dynamics to enhance decision making

Target Audience:

• The report targeted towards the existing players in the industry is as follows:
• Market Manufacturers/Service Providers
• Market Wholesale/Traders
• Investment and Financial Institutions

Free and Paid Customization based on the requirement

1.      Introduction

1.1.       Key Points

1.2.      Report Description

1.3.      Markets Covered

1.4.      Stakeholders

2.     Research Methodology

2.1.      Research Scope

2.2.     Research Methodology

2.2.1.     Market Research Process

2.2.2.    Research Methodology

2.2.2.1.           Secondary Research

2.2.2.2.          Primary Research

2.2.2.3.          Models for Estimation

2.3.     Market Size Estimation

2.3.1.     Bottom-Up Approach

2.3.2.    Top-Down Approach

3.     Executive Summary

4.    Market Overview

4.1.      Introduction

4.2.     Drivers

4.3.     Restraints

4.4.     Opportunities

4.5.     Challenges

5.     Federated Learning Solutions Market, By Application

5.1.      Key Points

5.2.  Drug Discovery

5.3.  Data privacy and Security Management

5.4.  Shopping Experience Personalization

5.5.  Industrial Internet of Things (IIoT)

5.6.  Other Applications

6.    Federated Learning Solutions Market, By Vertical

6.1.      Key Points

6.2. BFSI

6.3. Healthcare and Life Sciences

6.4. Retail and eCommerce

6.5.  Manufacturing

6.6. Others

7.     Competitive Landscape

7.1.      Introduction

7.2.     Start-up companies- Federated Learning Solutions Market

7.3.     Recent Developments

7.3.1.      Mergers & Acquisitions

7.3.2.     New Product Developments

7.3.3.     Portfolio/Production Capacity Expansions

7.3.4.     Joint Ventures, Collaborations, Partnerships & Agreements

7.3.5.     Others

8.    Company Profile

8.1.  Cloudera, Inc.

8.2. Consilient

8.3. DataFleets Ltd.

8.4. Decentralized Machine Learning

8.5. Edge Delta, Inc.

8.6. Enveil, Inc.

8.7.  Extreme Vision

8.8. Google LLC by Alphabet Inc.

8.9. Intellegens Limited

8.10.    International Business Machines Corporation

8.11.     Lifebit

8.12.    Microsoft Corporation

8.13.    Nvidia Corporation

8.14.    Owkin Inc.

8.15.    Secure AI Labs

8.16.    Sherpa.ai

8.17.     WeBank Co. Ltd.