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レポート概要
360iResearch社は、世界の連合学習ソリューション市場規模が2021年に109.32百万ドル、2022年に125.68百万ドルとなり、更に年平均15.09%成長して2027年には254.13百万ドルに達すると予測しています。当市場調査レポートでは、連合学習ソリューションの世界市場を総合的に分析し、序論、調査方法、エグゼクティブサマリー、市場概要、市場インサイト、産業別分析(金融、エネルギー&ユーティリティ、医療&ライフサイエンス、製造、小売&Eコマース)、用途別分析(データプライバシー&セキュリティ管理、創薬、産業用モノのインターネット、オンライン視覚オブジェクト検出、危機管理)、地域別分析(南北アメリカ、アメリカ、カナダ、ブラジル、アジア太平洋、日本、中国、インド、韓国、台湾、ヨーロッパ/中東/アフリカ、イギリス、ドイツ、フランス、ロシア、その他)、競争状況、企業情報などの内容を掲載しています。なお、当書には、Cloudera, Inc.、Consilient、DataFleets Ltd.、Decentralized Machine Learning、Edge Delta, Inc.、Enveil, Inc.、Extreme Vision、Google LLC by Alphabet Inc.、Intel Corporation、Intellegens Limited、International Business Machines Corporationなどの企業情報が含まれています。 ・序論 ・調査方法 ・エグゼクティブサマリー ・市場概要 ・市場インサイト ・世界の連合学習ソリューション市場規模:産業別 - 金融における市場規模 - エネルギー&ユーティリティにおける市場規模 - 医療&ライフサイエンスにおける市場規模 - 製造における市場規模 - 小売&Eコマースにおける市場規模 ・世界の連合学習ソリューション市場規模:用途別 - データプライバシー&セキュリティ管理における市場規模 - 創薬における市場規模 - 産業用モノのインターネットにおける市場規模 - オンライン視覚オブジェクト検出における市場規模 - 危機管理における市場規模 ・世界の連合学習ソリューション市場規模:地域別 - 南北アメリカの連合学習ソリューション市場規模 アメリカの連合学習ソリューション市場規模 カナダの連合学習ソリューション市場規模 ブラジルの連合学習ソリューション市場規模 ... - アジア太平洋の連合学習ソリューション市場規模 日本の連合学習ソリューション市場規模 中国の連合学習ソリューション市場規模 インドの連合学習ソリューション市場規模 韓国の連合学習ソリューション市場規模 台湾の連合学習ソリューション市場規模 ... - ヨーロッパ/中東/アフリカの連合学習ソリューション市場規模 イギリスの連合学習ソリューション市場規模 ドイツの連合学習ソリューション市場規模 フランスの連合学習ソリューション市場規模 ロシアの連合学習ソリューション市場規模 ... - その他地域の連合学習ソリューション市場規模 ・競争状況 ・企業情報 |
The Global Federated Learning Solutions Market size was estimated at USD 109.32 million in 2021 and expected to reach USD 125.68 million in 2022, and is projected to grow at a CAGR 15.09% to reach USD 254.13 million by 2027.
Market Statistics:
The report provides market sizing and forecast across 7 major currencies – USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered as the forecast period.
Market Segmentation & Coverage:
This research report categorizes the Federated Learning Solutions to forecast the revenues and analyze the trends in each of the following sub-markets:
Based on Vertical, the market was studied across Banking, Financial Services, and Insurance, Energy & Utilities, Healthcare & Life Sciences, Manufacturing, and Retail & e-Commerce.
Based on Application, the market was studied across Data Privacy & Security Management, Drug Discovery, Industrial Internet of Things, Online Visual Object Detection, Risk Management, and Shopping Experience Personalization.
Based on Region, the market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.
Cumulative Impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.
Cumulative Impact of 2022 Russia Ukraine Conflict:
We continuously monitor and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Negative impacts are significantly foreseen globally, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and uncertainty in Eastern Europe are expected to have an adverse impact on the world economy, with especially long-term harsh effects on Russia.This report uncovers the impact of demand & supply, pricing variants, strategic uptake of vendors, and recommendations for Federated Learning Solutions market considering the current update on the conflict and its global response.
Competitive Strategic Window:
The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.
FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the Federated Learning Solutions Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.
Market Share Analysis:
The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.
Competitive Scenario:
The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitor’s strength and weakness thereby, providing insights to enhance product and service.
Company Usability Profiles:
The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Federated Learning Solutions Market, including Cloudera, Inc., Consilient, DataFleets Ltd., Decentralized Machine Learning, Edge Delta, Inc., Enveil, Inc., Extreme Vision, Google LLC by Alphabet Inc., Intel Corporation, Intellegens Limited, International Business Machines Corporation, Lifebit, Microsoft Corporation, Nvidia Corporation, Owkin Inc., Secure AI Labs, Sherpa.ai, and WeBank Co., Ltd..
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments
The report answers questions such as:
1. What is the market size and forecast of the Global Federated Learning Solutions Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global Federated Learning Solutions Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Federated Learning Solutions Market?
4. What is the competitive strategic window for opportunities in the Global Federated Learning Solutions Market?
5. What are the technology trends and regulatory frameworks in the Global Federated Learning Solutions Market?
6. What is the market share of the leading vendors in the Global Federated Learning Solutions Market?
7. What modes and strategic moves are considered suitable for entering the Global Federated Learning Solutions Market?
1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Increasing Need for Learning between Device & Organisation
5.1.1.2. Increasing Focus on IIOt with Advances in Machine Learning
5.1.1.3. Ability to Ensure Better Data Privacy and Security by Training Algorithms on Decentralized Devices
5.1.2. Restraints
5.1.2.1. Lack of Skilled Technical Expertise
5.1.3. Opportunities
5.1.3.1. Organization’s Potential to Leverage Shared ML Model by Storing Data on Device
5.1.3.2. Capability to Enable Predictive Features on Smart Devices without Impacting User Experience and Privacy
5.1.4. Challenges
5.1.4.1. Issue of High Latency and Communication Inefficiency
5.2. Cumulative Impact of COVID-19
6. Federated Learning Solutions Market, by Vertical
6.1. Introduction
6.2. Banking, Financial Services, and Insurance
6.3. Energy & Utilities
6.4. Healthcare & Life Sciences
6.5. Manufacturing
6.6. Retail & e-Commerce
7. Federated Learning Solutions Market, by Application
7.1. Introduction
7.2. Data Privacy & Security Management
7.3. Drug Discovery
7.4. Industrial Internet of Things
7.5. Online Visual Object Detection
7.6. Risk Management
7.7. Shopping Experience Personalization
8. Americas Federated Learning Solutions Market
8.1. Introduction
8.2. Argentina
8.3. Brazil
8.4. Canada
8.5. Mexico
8.6. United States
9. Asia-Pacific Federated Learning Solutions Market
9.1. Introduction
9.2. Australia
9.3. China
9.4. India
9.5. Indonesia
9.6. Japan
9.7. Malaysia
9.8. Philippines
9.9. Singapore
9.10. South Korea
9.11. Thailand
9.12. Vietnam
10. Europe, Middle East & Africa Federated Learning Solutions Market
10.1. Introduction
10.2. Denmark
10.3. Egypt
10.4. Finland
10.5. France
10.6. Germany
10.7. Israel
10.8. Italy
10.9. Netherlands
10.10. Nigeria
10.11. Norway
10.12. Poland
10.13. Qatar
10.14. Russia
10.15. Saudi Arabia
10.16. South Africa
10.17. Spain
10.18. Sweden
10.19. Switzerland
10.20. Turkey
10.21. United Arab Emirates
10.22. United Kingdom
11. Competitive Landscape
11.1. FPNV Positioning Matrix
11.1.1. Quadrants
11.1.2. Business Strategy
11.1.3. Product Satisfaction
11.2. Market Ranking Analysis, By Key Player
11.3. Market Share Analysis, By Key Player
11.4. Competitive Scenario
11.4.1. Merger & Acquisition
11.4.2. Agreement, Collaboration, & Partnership
11.4.3. New Product Launch & Enhancement
11.4.4. Investment & Funding
11.4.5. Award, Recognition, & Expansion
12. Company Usability Profiles
12.1. Cloudera, Inc.
12.1.1. Business Overview
12.1.2. Key Executives
12.1.3. Product & Services
12.2. Consilient
12.2.1. Business Overview
12.2.2. Key Executives
12.2.3. Product & Services
12.3. DataFleets Ltd.
12.3.1. Business Overview
12.3.2. Key Executives
12.3.3. Product & Services
12.4. Decentralized Machine Learning
12.4.1. Business Overview
12.4.2. Key Executives
12.4.3. Product & Services
12.5. Edge Delta, Inc.
12.5.1. Business Overview
12.5.2. Key Executives
12.5.3. Product & Services
12.6. Enveil, Inc.
12.6.1. Business Overview
12.6.2. Key Executives
12.6.3. Product & Services
12.7. Extreme Vision
12.7.1. Business Overview
12.7.2. Key Executives
12.7.3. Product & Services
12.8. Google LLC by Alphabet Inc.
12.8.1. Business Overview
12.8.2. Key Executives
12.8.3. Product & Services
12.9. Intel Corporation
12.9.1. Business Overview
12.9.2. Key Executives
12.9.3. Product & Services
12.10. Intellegens Limited
12.10.1. Business Overview
12.10.2. Key Executives
12.10.3. Product & Services
12.11. International Business Machines Corporation
12.11.1. Business Overview
12.11.2. Key Executives
12.11.3. Product & Services
12.12. Lifebit
12.12.1. Business Overview
12.12.2. Key Executives
12.12.3. Product & Services
12.13. Microsoft Corporation
12.13.1. Business Overview
12.13.2. Key Executives
12.13.3. Product & Services
12.14. Nvidia Corporation
12.14.1. Business Overview
12.14.2. Key Executives
12.14.3. Product & Services
12.15. Owkin Inc.
12.15.1. Business Overview
12.15.2. Key Executives
12.15.3. Product & Services
12.16. Secure AI Labs
12.16.1. Business Overview
12.16.2. Key Executives
12.16.3. Product & Services
12.17. Sherpa.ai
12.17.1. Business Overview
12.17.2. Key Executives
12.17.3. Product & Services
12.18. WeBank Co., Ltd.
12.18.1. Business Overview
12.18.2. Key Executives
12.18.3. Product & Services
13. Appendix
13.1. Discussion Guide
13.2. License & Pricing