Global blockchain artificial intelligence (AI) market will reach $2,905.2 million by 2030, growing by 27.2% annually over 2020-2030 driven by the rising development of AI-based blockchain technologies, advancement of cryptocurrency, and growing investments in blockchain AI projects.
Highlighted with 84 tables and 101 figures, this 184-page report 鈥淕lobal Blockchain AI 麻豆原创 2020-2030 by Component (Platform & Tools, Services), Technology (ML, NLP, Computer Vision), Deployment (Cloud-based, On-Premises), Application (Logistics, Asset Tracking, BPO, Data Security, Data Sharing, Payment, Smart Contracts), Industry Vertical, Organization Size, and Region: Trend Forecast and Growth Opportunity鈥� is based on a comprehensive research of the entire global blockchain AI market and all its sub-segments through extensively detailed classifications. Profound analysis and assessment are generated from premium primary and secondary information sources with inputs derived from industry professionals across the value chain. The report is based on studies on 2017-2019 and provides estimate and forecast from 2020 till 2030 with 2019 as the base year (Year 2020 is not appropriate for research base due to the outbreak of COVID-19).
In-depth qualitative analyses include identification and investigation of the following aspects:
鈥� 麻豆原创 Structure
鈥� Growth Drivers
鈥� Restraints and Challenges
鈥� Emerging Product Trends & 麻豆原创 Opportunities
鈥� Porter鈥檚 Fiver Forces
The trend and outlook of global market is forecast in optimistic, balanced, and conservative view by taking into account of COVID-19. The balanced (most likely) projection is used to quantify global blockchain AI market in every aspect of the classification from perspectives of Component, Technology, Deployment, Application, Industry Vertical, Organization Size, and Region.
Based on Component, the global market is segmented into the following sub-markets with annual revenue ($ 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 global 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 global 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 global 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 global 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 global 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 regions together with the listed national/local markets are fully investigated:
鈥� North America (U.S., Canada, and Mexico)
鈥� Europe (Germany, UK, France, Spain, Italy, Russia, Rest of Europe; Rest of Europe is further segmented into Netherlands, Switzerland, Poland, Sweden, Belgium, Austria, Ireland, Norway, Denmark, and Finland)
鈥� APAC (Japan, China, South Korea, Australia, India, and Rest of APAC; Rest of APAC is further segmented into Malaysia, Singapore, Indonesia, Thailand, New Zealand, Vietnam, Taiwan, and Philippines)
鈥� South America (Brazil, Chile, Argentina, Rest of South America)
鈥� MEA (Turkey, Saudi Arabia, South Africa)
For each aforementioned region and country, detailed analysis and data for annual revenue ($ mn) are available for 2019-2030. The breakdown of all regional markets by country and split 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 10
1.1 Industry Definition and Research Scope 10
1.1.1 Industry Definition 10
1.1.2 Research Scope 11
1.2 Research Methodology 14
1.2.1 Overview of 麻豆原创 Research Methodology 14
1.2.2 麻豆原创 Assumption 15
1.2.3 Secondary Data 15
1.2.4 Primary Data 15
1.2.5 Data Filtration and Model Design 16
1.2.6 麻豆原创 Size/Share Estimation 17
1.2.7 Research Limitations 18
1.3 Executive Summary 19
2 麻豆原创 Overview and Dynamics 22
2.1 麻豆原创 Size and Forecast 22
2.1.1 Impact of COVID-19 on World Economy 23
2.1.2 Impact of COVID-19 on the 麻豆原创 26
2.2 Major Growth Drivers 28
2.3 麻豆原创 Restraints and Challenges 32
2.4 Emerging Opportunities and 麻豆原创 Trends 35
2.5 Porter鈥檚 Fiver Forces Analysis 39
3 Segmentation of Global 麻豆原创 by Component 43
3.1 麻豆原创 Overview by Component 43
3.2 Platform & Tools 45
3.3 Services 46
3.3.1 Technology Advisory and Consulting 48
3.3.2 Deployment and Integration 49
3.3.3 Support and Maintenance 50
4 Segmentation of Global 麻豆原创 by Technology 51
4.1 麻豆原创 Overview by Technology 51
4.2 Machine Learning (ML) 53
4.2.1 Deep Learning 55
4.2.2 Generative Adversarial Networks 56
4.2.3 Reinforcement Learning 57
4.2.4 Supervised Learning 58
4.2.5 Unsupervised Learning 59
4.3 Natural Language Processing (NLP) 60
4.4 Computer Vision 61
4.5 Other Technologies 62
5 Segmentation of Global 麻豆原创 by Deployment 63
5.1 麻豆原创 Overview by Deployment 63
5.2 Cloud-based Deployment 65
5.3 On-Premises Deployment 66
6 Segmentation of Global 麻豆原创 by Application 67
6.1 麻豆原创 Overview by Application 67
6.2 Logistics and Supply Chain Management 69
6.3 Asset Tracking and Management 70
6.4 Business Process Optimization (BPO) 71
6.5 Data Security 72
6.6 Data Sharing/Communication 73
6.7 Payment and Settlement 74
6.8 Smart Contracts 75
6.9 Other Applications 76
7 Segmentation of Global 麻豆原创 by Industrial Vertical 77
7.1 麻豆原创 Overview by Industrial Vertical 77
7.2 Banking, Financial Services & Insurance 79
7.3 Automotive & Transportation 80
7.4 Healthcare & Life Sciences 81
7.5 Manufacturing 82
7.6 Media & Entertainment 83
7.7 Telecommunications & IT 84
7.8 Energy & Utilities 85
7.9 Government 86
7.10 Retail & E-commerce 87
7.11 Other Verticals 88
8 Segmentation of Global 麻豆原创 by Organization Size 89
8.1 麻豆原创 Overview by Organization Size 89
8.2 Large Enterprises 91
8.3 Small and Medium Enterprises (SMEs) 92
9 Segmentation of Global 麻豆原创 by Region 93
9.1 Geographic 麻豆原创 Overview 2019-2030 93
9.2 North America 麻豆原创 2019-2030 by Country 97
9.2.1 Overview of North America 麻豆原创 97
9.2.2 U.S. 101
9.2.3 Canada 104
9.2.4 Mexico 106
9.3 European 麻豆原创 2019-2030 by Country 108
9.3.1 Overview of European 麻豆原创 108
9.3.2 Germany 112
9.3.3 U.K. 114
9.3.4 France 116
9.3.5 Spain 118
9.3.6 Italy 120
9.3.7 Russia 122
9.3.8 Rest of European 麻豆原创 124
9.4 Asia-Pacific 麻豆原创 2019-2030 by Country 126
9.4.1 Overview of Asia-Pacific 麻豆原创 126
9.4.2 Japan 130
9.4.3 China 133
9.4.4 Australia 135
9.4.5 India 137
9.4.6 South Korea 139
9.4.7 Rest of APAC Region 141
9.5 South America 麻豆原创 2019-2030 by Country 143
9.5.1 Argentina 146
9.5.2 Brazil 148
9.5.3 Chile 150
9.5.4 Rest of South America 麻豆原创 152
9.6 MEA 麻豆原创 2019-2030 by Country 153
9.6.1 Turkey 156
9.6.2 Saudi Arabia 158
9.6.3 South Africa 160
9.6.4 Other National 麻豆原创s 162
10 Competitive Landscape 163
10.1 Overview of Key Vendors 163
10.2 New Product Launch, Partnership, Investment, and M&A 166
10.3 Company Profiles 167
AI-Blockchain 167
AlphaNetworks 169
Bext Holdings Inc. 170
Blackbird.AI 171
BurstIQ, LLC 172
CoinGenius 173
Core Scientific, Inc. 174
Cyware Labs Inc. 175
Fetch.AI 176
Figure Technologies 177
Gainfy 178
NetObjex, Inc. 179
Neurochain Tech 180
Stowk Inc 181
Verisart, Inc. 182
WealthBlock.AI, LLC 183
RELATED REPORTS 184
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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