Market Overview:
The global artificial intelligence for blockchains market is expected to grow at a CAGR of 33.8% during the forecast period from 2018 to 2030. The growth of the market can be attributed to the increasing demand for AI-based platforms and tools, and services across different industries. Additionally, the growing adoption of blockchain technology in various applications is also contributing to the growth of this market. The global artificial intelligence for blockchains market by type is segmented into platform/tools and services. The platform/tools segment is further sub-segmented into standalone platforms and integrated platforms. The standalone platforms segment dominated the global artificial intelligence for blockchains market in 2017, owing to its ability to provide comprehensive solutions for businesses looking to adopt blockchain technology.
Product Definition:
Artificial Intelligence (AI) is a process of programming a computer to make decisions for itself. This can be done through a number of methods, including but not limited to: machine learning, natural language processing, and predictive modelling.
One of the key advantages that AI brings to blockchains is its ability to automate decision-making processes. For example, an AI system could be used to automatically determine whether or not a proposed change in the blockchain should be implemented. This would save time and resources by eliminating the need for human involvement in this process. Additionally, AI can also be used for tasks such as fraud detection and security monitoring.
Platform/Tools:
The global market size for platform/tools, it's usage and growth factor in artificial intelligence for blockchains is expected to witness significant growth over the forecast period. The key drivers attributing to the high growth include increasing adoption of Artificial Intelligence (AI) and machine learning technologies by enterprises across different industry verticals such as healthcare, banking & finance, manufacturing among others.
Services:
The services are used to design, deploy and operate an application or a function in the cloud. It is also used for developing, testing & maintaining software applications. Services are autonomous; they do not require any human interaction other than management by a service operator or maintenance by the developer during its execution. The AI-based blockchain platform uses these services to execute smart contracts and store information on their blockchain network.
Application Insights:
The others application segment includes the use of artificial intelligence in non-blockchain industries such as healthcare, life sciences, manufacturing and media & entertainment. The growing adoption of blockchains across these sectors is expected to drive demand over the forecast period.
The banking, financial services, and insurance (BFSI) sector accounted for a significant share in 2017 owing to increasing applications such as fraud detection and risk management across various industries. Moreover, BFSI companies are at high potential risks of data breaches due to lack of security measures leading to huge losses if any fraud occurs. Artificial intelligence can help reduce these risks by detecting unusual patterns or behavior that may indicate fraudulent transactions or attacks on websites or systems using AI-based analytics platform which can be used for proactive rather than reactive monitoring thus reducing costs associated with investigations and audits while improving overall business efficiency.
Regional Analysis:
The market in North America is expected to grow at a significant rate over the forecast period. The growth can be attributed to increasing investments by prominent players such as IBM Corporation; Google LLC; and Microsoft Corporation. For instance, in September 2017, IBM announced its collaboration with the government of Dubai to develop a new smart city’s infrastructure based on intelligent technologies including AI and cognitive computing.
The Asia Pacific region accounted for more than 35% of the total share in 2016 owing to increased adoption across emerging economies such as China and India. In July 2017, Huawei Technologies Co., Ltd., China's second-largest telecom equipment manufacturer after ZTE Corp., launched an artificial intelligence (AI) center called "Huawei Future Technology Center" headquartered in Shenzhen with an aim toward providing innovative services through artificial intelligence applications based on blockchains technology within three years from now.
Growth Factors:
- Increasing demand for AI-enabled blockchain platforms for faster and more secure transactions.
- Rising demand from the BFSI sector for AI-enabled blockchain platforms to streamline processes and reduce costs.
- Proliferation of AI-based dApps that are fuelling the growth of the artificial intelligence for blockchains market.
- Growing number of partnerships between AI solution providers and blockchain platform providers to develop innovative applications using artificial intelligence and blockchain technology 5 Increased venture capital investments in startups working on developing artificial intelligence for blockchains solutions
Scope Of The Report
Report Attributes
Report Details
Report Title
Artificial Intelligence for Blockchains Market Research Report
By Type
Platform/Tools, Services
By Application
BFSI, Automotive, Healthcare and Life Sciences, Manufacturing, Media and Entertainment, Telecommunications and IT, Others
By Companies
Workdone Inc, WealthBlock.AI, LLC, Vytalyx Ltd, Verisart, Inc., Talla Inc, Stowk Inc, SoluLab, ScienceSoft, Ripple Labs Inc., Primafelicitas Ltd, Neurochain Tech, NetObjex, Inc., Labrys, HARA, Gainfy, Fetch.ai, Cyware Labs Inc., Core Scientific, Inc, CoinGenius, Chainhaus, BurstIQ, LLC, Blaize, Blackbird.AI, Bext Holdings Inc., AlphaNetworks
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
128
Number of Tables & Figures
90
Customization Available
Yes, the report can be customized as per your need.
Global Artificial Intelligence for Blockchains Market Report Segments:
The global Artificial Intelligence for Blockchains market is segmented on the basis of:
Types
Platform/Tools, Services
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
BFSI, Automotive, Healthcare and Life Sciences, Manufacturing, Media and Entertainment, Telecommunications and IT, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Workdone Inc
- WealthBlock.AI, LLC
- Vytalyx Ltd
- Verisart, Inc.
- Talla Inc
- Stowk Inc
- SoluLab
- ScienceSoft
- Ripple Labs Inc.
- Primafelicitas Ltd
- Neurochain Tech
- NetObjex, Inc.
- Labrys
- HARA
- Gainfy
- Fetch.ai
- Cyware Labs Inc.
- Core Scientific, Inc
- CoinGenius
- Chainhaus
- BurstIQ, LLC
- Blaize
- Blackbird.AI
- Bext Holdings Inc.
- AlphaNetworks
Highlights of The Artificial Intelligence for Blockchains Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Platform/Tools
- Services
- By Application:
- BFSI
- Automotive
- Healthcare and Life Sciences
- Manufacturing
- Media and Entertainment
- Telecommunications and IT
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Artificial Intelligence for Blockchains Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Artificial intelligence (AI) is a field of computer science and engineering that deals with the creation of intelligent agents, which are systems that can reason, learn, and act autonomously. In the context of blockchains, AI could be used to automate certain tasks within the network such as transaction processing or data storage.
Some of the key players operating in the artificial intelligence for blockchains market are Workdone Inc, WealthBlock.AI, LLC, Vytalyx Ltd, Verisart, Inc., Talla Inc, Stowk Inc, SoluLab, ScienceSoft, Ripple Labs Inc., Primafelicitas Ltd, Neurochain Tech, NetObjex, Inc., Labrys, HARA, Gainfy, Fetch.ai, Cyware Labs Inc., Core Scientific, Inc, CoinGenius, Chainhaus, BurstIQ, LLC, Blaize, Blackbird.AI, Bext Holdings Inc., AlphaNetworks.
The artificial intelligence for blockchains market is expected to grow at a compound annual growth rate of 33.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Artificial Intelligence for Blockchains Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Artificial Intelligence for Blockchains Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Artificial Intelligence for Blockchains Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Artificial Intelligence for Blockchains Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Artificial Intelligence for Blockchains Market Size & Forecast, 2018-2028 4.5.1 Artificial Intelligence for Blockchains Market Size and Y-o-Y Growth 4.5.2 Artificial Intelligence for Blockchains Market Absolute $ Opportunity
Chapter 5 Global Artificial Intelligence for Blockchains Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Artificial Intelligence for Blockchains Market Size Forecast by Type
5.2.1 Platform/Tools
5.2.2 Services
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Artificial Intelligence for Blockchains Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Artificial Intelligence for Blockchains Market Size Forecast by Applications
6.2.1 BFSI
6.2.2 Automotive
6.2.3 Healthcare and Life Sciences
6.2.4 Manufacturing
6.2.5 Media and Entertainment
6.2.6 Telecommunications and IT
6.2.7 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Artificial Intelligence for Blockchains Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Artificial Intelligence for Blockchains Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Artificial Intelligence for Blockchains Analysis and Forecast
9.1 Introduction
9.2 North America Artificial Intelligence for Blockchains Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Artificial Intelligence for Blockchains Market Size Forecast by Type
9.6.1 Platform/Tools
9.6.2 Services
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Artificial Intelligence for Blockchains Market Size Forecast by Applications
9.10.1 BFSI
9.10.2 Automotive
9.10.3 Healthcare and Life Sciences
9.10.4 Manufacturing
9.10.5 Media and Entertainment
9.10.6 Telecommunications and IT
9.10.7 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Artificial Intelligence for Blockchains Analysis and Forecast
10.1 Introduction
10.2 Europe Artificial Intelligence for Blockchains Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Artificial Intelligence for Blockchains Market Size Forecast by Type
10.6.1 Platform/Tools
10.6.2 Services
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Artificial Intelligence for Blockchains Market Size Forecast by Applications
10.10.1 BFSI
10.10.2 Automotive
10.10.3 Healthcare and Life Sciences
10.10.4 Manufacturing
10.10.5 Media and Entertainment
10.10.6 Telecommunications and IT
10.10.7 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Artificial Intelligence for Blockchains Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Artificial Intelligence for Blockchains Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Artificial Intelligence for Blockchains Market Size Forecast by Type
11.6.1 Platform/Tools
11.6.2 Services
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Artificial Intelligence for Blockchains Market Size Forecast by Applications
11.10.1 BFSI
11.10.2 Automotive
11.10.3 Healthcare and Life Sciences
11.10.4 Manufacturing
11.10.5 Media and Entertainment
11.10.6 Telecommunications and IT
11.10.7 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Artificial Intelligence for Blockchains Analysis and Forecast
12.1 Introduction
12.2 Latin America Artificial Intelligence for Blockchains Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Artificial Intelligence for Blockchains Market Size Forecast by Type
12.6.1 Platform/Tools
12.6.2 Services
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Artificial Intelligence for Blockchains Market Size Forecast by Applications
12.10.1 BFSI
12.10.2 Automotive
12.10.3 Healthcare and Life Sciences
12.10.4 Manufacturing
12.10.5 Media and Entertainment
12.10.6 Telecommunications and IT
12.10.7 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Artificial Intelligence for Blockchains Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Artificial Intelligence for Blockchains Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Artificial Intelligence for Blockchains Market Size Forecast by Type
13.6.1 Platform/Tools
13.6.2 Services
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Artificial Intelligence for Blockchains Market Size Forecast by Applications
13.10.1 BFSI
13.10.2 Automotive
13.10.3 Healthcare and Life Sciences
13.10.4 Manufacturing
13.10.5 Media and Entertainment
13.10.6 Telecommunications and IT
13.10.7 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Artificial Intelligence for Blockchains Market: Competitive Dashboard
14.2 Global Artificial Intelligence for Blockchains Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Workdone Inc
14.3.2 WealthBlock.AI, LLC
14.3.3 Vytalyx Ltd
14.3.4 Verisart, Inc.
14.3.5 Talla Inc
14.3.6 Stowk Inc
14.3.7 SoluLab
14.3.8 ScienceSoft
14.3.9 Ripple Labs Inc.
14.3.10 Primafelicitas Ltd
14.3.11 Neurochain Tech
14.3.12 NetObjex, Inc.
14.3.13 Labrys
14.3.14 HARA
14.3.15 Gainfy
14.3.16 Fetch.ai
14.3.17 Cyware Labs Inc.
14.3.18 Core Scientific, Inc
14.3.19 CoinGenius
14.3.20 Chainhaus
14.3.21 BurstIQ, LLC
14.3.22 Blaize
14.3.23 Blackbird.AI
14.3.24 Bext Holdings Inc.
14.3.25 AlphaNetworks