Europe blockchain artificial intelligence (AI) market was valued at $79.8 million in 2020 and will grow by 25.6% annually over 2020-2030 driven by the rising development of AI-based blockchain technologies, advancement of cryptocurrency, and growing investments in blockchain AI projects.
Highlighted with 35 tables and 69 figures, this 129-page report 鈥淓urope Blockchain AI 麻豆原创 2020-2030 by Component (Platform & Tools, Services), Technology (ML, NLP, Computer Vision), Deployment (Cloud-based, On-Premises), Application (Logistics, Asset Tracking, BPO, Data Security, Data Sharing, Payment, Smart Contracts), Industry Vertical, Organization Size, and Country: Trend Forecast and Growth Opportunity鈥 is based on a comprehensive research of the entire Europe blockchain AI market and all its sub-segments through extensively detailed classifications. Profound analysis and assessment are generated from premium primary and secondary information sources with inputs derived from industry professionals across the value chain. The report is based on studies on 2017-2019 and provides estimate and forecast from 2020 till 2030 with 2019 as the base year (Year 2020 is not appropriate for research base due to the outbreak of COVID-19).
In-depth qualitative analyses include identification and investigation of the following aspects:
鈥 麻豆原创 Structure
鈥 Growth Drivers
鈥 Restraints and Challenges
鈥 Emerging Product Trends & 麻豆原创 Opportunities
鈥 Porter鈥檚 Fiver Forces
The trend and outlook of Europe market is forecast in optimistic, balanced, and conservative view by taking into account of COVID-19. The balanced (most likely) projection is used to quantify Europe blockchain AI market in every aspect of the classification from perspectives of Component, Technology, Deployment, Application, Industry Vertical, Organization Size, and Country.
Based on Component, the Europe market is segmented into the following sub-markets with annual revenue ($ mn) for 2019-2030 included in each primary section.
鈥 Platform & Tools
鈥 Services
o Technology Advisory and Consulting
o Deployment and Integration
o Support and Maintenance
Based on Technology, the Europe market is segmented into the following sub-markets with annual revenue ($ mn) for 2019-2030 included in each primary section.
鈥 Machine Learning (ML)
o Deep Learning
o Generative Adversarial Networks
o Reinforcement Learning
o Supervised Learning
o Unsupervised Learning
鈥 Natural Language Processing (NLP)
鈥 Computer Vision
鈥 Other Technologies
Based on Deployment, the Europe market is segmented into the following sub-markets with annual revenue ($ mn) for 2019-2030 included in each primary section.
鈥 Cloud-based Deployment
鈥 On-Premises Deployment
Based on Application, the Europe market is segmented into the following sub-markets with annual revenue ($ mn) for 2019-2030 included in each primary section.
鈥 Logistics and Supply Chain Management
鈥 Asset Tracking and Management
鈥 Business Process Optimization (BPO)
鈥 Data Security
鈥 Data Sharing/Communication
鈥 Payment and Settlement
鈥 Smart Contracts
鈥 Other Applications
Based on Industry Vertical, the Europe market is segmented into the following sub-markets with annual revenue ($ mn) for 2019-2030 included in each primary section.
鈥 Banking, Financial Services & Insurance
鈥 Automotive & Transportation
鈥 Healthcare & Life Sciences
鈥 Manufacturing
鈥 Media & Entertainment
鈥 Telecommunications & IT
鈥 Energy & Utilities
鈥 Government
鈥 Retail & E-commerce
鈥 Other Verticals
Based on Organization Size, the Europe market is segmented into the following sub-markets with annual revenue ($ mn) for 2019-2030 included in each primary section.
鈥 Large Enterprises
鈥 Small- and Medium-sized Enterprises (SMEs)
Geographically, the following national/local markets are fully investigated:
鈥 Germany
鈥 UK
鈥 France
鈥 Spain
鈥 Italy
鈥 Russia
鈥 Rest of Europe (further segmented into Netherlands, Switzerland, Poland, Sweden, Belgium, Austria, Ireland, Norway, Denmark, and Finland)
For each key country, detailed analysis and data for annual revenue ($ mn) are available for 2019-2030. The breakdown of key national markets by Technology, Deployment, and Application over the forecast years are also included.
The report also covers current competitive scenario and the predicted trend; and profiles key vendors including market leaders and important emerging players.
Key Players (this may not be a complete list and extra companies can be added upon request):
AI-Blockchain
AlphaNetworks
Bext Holdings Inc.
Blackbird.AI
BurstIQ, LLC
CoinGenius
Core Scientific, Inc.
Cyware Labs Inc.
Fetch.AI
Figure Technologies
Gainfy
NetObjex, Inc.
Neurochain Tech
Stowk Inc
Verisart, Inc.
WealthBlock.AI, LLC
(Please note: The report will be updated before delivery so that the latest historical year is the base year and the forecast covers at least 5 years over the base year.)
1 Introduction 7
1.1 Industry Definition and Research Scope 7
1.1.1 Industry Definition 7
1.1.2 Research Scope 8
1.2 Research Methodology 11
1.2.1 Overview of 麻豆原创 Research Methodology 11
1.2.2 麻豆原创 Assumption 12
1.2.3 Secondary Data 12
1.2.4 Primary Data 12
1.2.5 Data Filtration and Model Design 13
1.2.6 麻豆原创 Size/Share Estimation 14
1.2.7 Research Limitations 15
1.3 Executive Summary 16
2 麻豆原创 Overview and Dynamics 19
2.1 麻豆原创 Size and Forecast 19
2.1.1 Impact of COVID-19 on World Economy 20
2.1.2 Impact of COVID-19 on the 麻豆原创 23
2.2 Major Growth Drivers 25
2.3 麻豆原创 Restraints and Challenges 29
2.4 Emerging Opportunities and 麻豆原创 Trends 32
2.5 Porter鈥檚 Fiver Forces Analysis 36
3 Segmentation of Europe 麻豆原创 by Component 40
3.1 麻豆原创 Overview by Component 40
3.2 Platform & Tools 42
3.3 Services 43
3.3.1 Technology Advisory and Consulting 45
3.3.2 Deployment and Integration 46
3.3.3 Support and Maintenance 47
4 Segmentation of Europe 麻豆原创 by Technology 48
4.1 麻豆原创 Overview by Technology 48
4.2 Machine Learning (ML) 50
4.2.1 Deep Learning 52
4.2.2 Generative Adversarial Networks 53
4.2.3 Reinforcement Learning 54
4.2.4 Supervised Learning 55
4.2.5 Unsupervised Learning 56
4.3 Natural Language Processing (NLP) 57
4.4 Computer Vision 58
4.5 Other Technologies 59
5 Segmentation of Europe 麻豆原创 by Deployment 60
5.1 麻豆原创 Overview by Deployment 60
5.2 Cloud-based Deployment 62
5.3 On-Premises Deployment 63
6 Segmentation of Europe 麻豆原创 by Application 64
6.1 麻豆原创 Overview by Application 64
6.2 Logistics and Supply Chain Management 66
6.3 Asset Tracking and Management 67
6.4 Business Process Optimization (BPO) 68
6.5 Data Security 69
6.6 Data Sharing/Communication 70
6.7 Payment and Settlement 71
6.8 Smart Contracts 72
6.9 Other Applications 73
7 Segmentation of Europe 麻豆原创 by Industrial Vertical 74
7.1 麻豆原创 Overview by Industrial Vertical 74
7.2 Banking, Financial Services & Insurance 76
7.3 Automotive & Transportation 77
7.4 Healthcare & Life Sciences 78
7.5 Manufacturing 79
7.6 Media & Entertainment 80
7.7 Telecommunications & IT 81
7.8 Energy & Utilities 82
7.9 Government 83
7.10 Retail & E-commerce 84
7.11 Other Verticals 85
8 Segmentation of Europe 麻豆原创 by Organization Size 86
8.1 麻豆原创 Overview by Organization Size 86
8.2 Large Enterprises 88
8.3 Small and Medium Enterprises (SMEs) 89
9 European 麻豆原创 2019-2030 by Country 90
9.1 Overview of European 麻豆原创 90
9.2 Germany 93
9.3 U.K. 95
9.4 France 98
9.5 Spain 100
9.6 Italy 102
9.7 Russia 104
9.8 Rest of European 麻豆原创 106
10 Competitive Landscape 108
10.1 Overview of Key Vendors 108
10.2 New Product Launch, Partnership, Investment, and M&A 111
10.3 Company Profiles 112
AI-Blockchain 112
AlphaNetworks 114
Bext Holdings Inc. 115
Blackbird.AI 116
BurstIQ, LLC 117
CoinGenius 118
Core Scientific, Inc. 119
Cyware Labs Inc. 120
Fetch.AI 121
Figure Technologies 122
Gainfy 123
NetObjex, Inc. 124
Neurochain Tech 125
Stowk Inc 126
Verisart, Inc. 127
WealthBlock.AI, LLC 128
RELATED REPORTS 129
Key Players (this may not be a complete list and extra companies can be added upon request):
AI-Blockchain
AlphaNetworks
Bext Holdings Inc.
Blackbird.AI
BurstIQ, LLC
CoinGenius
Core Scientific, Inc.
Cyware Labs Inc.
Fetch.AI
Figure Technologies
Gainfy
NetObjex, Inc.
Neurochain Tech
Stowk Inc
Verisart, Inc.
WealthBlock.AI, LLC
(Please note: The report will be updated before delivery so that the latest historical year is the base year and the forecast covers at least 5 years over the base year.)
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*If Applicable.