The blockchain AI trade was estimated to be around US$ 358.4 million in 2022. The overall market is expected to be around US$ 440 million in 2023. According to the analysis, the global blockchain AI market is anticipated to secure US$ 3,536.2 million in 2032, while flourishing at a 22.9% CAGR from 2023 to 2033.
Increasing adoption of AI-based blockchain platforms among SMEs to enhance blockchain applications like smart contracts, payment systems, and others is projected to fuel the market. Also, the development of cryptocurrency is projected to play a vital role in strengthening the market.
Increasing adoption of AI-based blockchain platforms and services among SMEs to augment blockchain applications like smart contracts, payment systems, and others is anticipated to drive the market in the forecast period.
| Attribute | Details |
|---|---|
| Global Blockchain AI Market Valuation in 2022 | US$ 358.4 million |
| Estimated Global Market Share in 2023 | US$ 440 million |
| Forecasted Global Market Size by 2033 | US$ 3,536.2 million |
| Projected Global Market Growth Rate from 2023 to 2033 | 22.9% CAGR |
Don't pay for what you don't need
Customize your report by selecting specific countries or regions and save 30%!
Increasing Monetization of Customer Data with the Application of Blockchain to Support Market Growth
Blockchain AI technologies enable data monetization, which is expected to be a significant factor driving the market during the forecast period. Data monetization would make AI and advanced blockchain easily accessible to emerging companies. A decentralized market would make such space for smaller companies which, otherwise, would have been very expensive. Also, developments in artificial intelligence (AI), the Internet of Things (IoT), and big data technologies are projected to boost the application of data monetization solutions among organizations.
Key participants of players are targeted at launching new products to meet the growing demands. In an occurrence, in February 2019, Continental AG and Hewlett Packard Enterprise (HPE) launched a new blockchain-based platform known as the Data Monetization Platform. It assists car manufacturers to monetize their data and offers data security to meet issues related to the sharing of vehicle data.
Growing demand for the combination of blockchain and AI-based natural language processing (NLP) solutions among established is anticipated to be the major emerging trend for the market expansion. The fault-tolerant features along with the non-modifiable, and immutable specifics of blockchain are crucial for the security of sensitive data produced by NLP solutions and algorithms.
NLP blockchain solutions also witness considerable demand in the healthcare sector owing to their ability to enhance patient experience and care by using advanced NLP platforms that offers significant insights from medical data. The amalgamation of these two technologies can offer precise results.
For instance, in September 2019, Zensar Technologies Limited launched its blockchain-based management solutions- DICES (Distributed Intelligent Contract Enforcement System) and ZenConfluence- for several organizations. The objective is to assist end-users track the contractual goals without manual intervention efficiently.
Principal Consultant
The lack of blockchain AI experts is anticipated to act as a significant restraint to the market in the forecast period. Blockchain AI is at a nascent stage and is complex in nature. Therefore, organizations demand expertise in managing blockchain solutions powered by AI. The technology offers various benefits, however, lack of awareness, inadequate funding, and poor investments are likely to hamper the market growth in the forecast period. Also, uncertain regulations are also projected to hinder the industry growth.
Decentralization and data control are likely to hinder privacy and act as a significant challenge to the market. When the need for an intermediary is eliminated, decentralization puts the user completely in charge of their data. That is why various data sets are acquired by several organizations, users retain their data ownership and can determine who has access to the same.
Based on Components, the global market can be segmented into services and platforms/tools. Based on organization size, the global blockchain AI market can be segmented into SMEs and Large Enterprises. As per the analysis, by component, the platform segment is likely to expand at a CAGR of 21.3% during the forecast period.
The platform segment is expected to flourish owing to the increasing demand for blockchain artificial AI-based platforms across various spheres of enterprises to assure safe transaction models in their business units. On the other hand, the services segment is projected to witness significant demand in the coming time.
Based on Application, the global market can be segmented into Smart Contracts, Payment and Settlement, Data Security, Data Sharing/Communication, Asset Tracking and Management, Logistics and Supply Chain Management, Business Process Optimization, and others.
The BFSI industry is projected to offer lucrative opportunities for market expansion in the forecast period. The scope of expansion can be attributed to the increasing adoption of decentralized applications based on AI technology across fintech and financial institutions. The banking sector is focused on implementing various projects dependent on blockchain services.
| Category | By Component |
|---|---|
| Top Segment | Platform or Tool |
| Market Share in Percentage | 71.2% |
| Category | By Technology |
|---|---|
| Top Segment | ML-based Blockchain AI |
| Market Share in Percentage | 36.4% |
Get the data you need at a Fraction of the cost
Personalize your report by choosing insights you need
and save 40%!
Based on technology, the global market can be segmented into ML, NLP, Context-Aware Computing, and Computer Vision. Based on Vertical, the global blockchain AI market can be segmented into BFSI, Telecom and IT, Healthcare and Life Science, Manufacturing, Media and Entertainment, Automotive, and others.
The growth can be attributed to the growing demand for blockchain services like support & maintenance, systems integration & deployment, & technology advisory & consulting from several industries is expected to boost the segment growth.By deployment, the cloud segment is projected to record a 20.6% CAGR in the forecast period. The segment is projected to garner a larger market share in the coming time. The growth of the segment can be attributed to the growing adoption of cloud-based solutions and services.
Based on deployment mode, the global market can be segmented into cloud and on-premises. The cloud also offers trained network solutions and services which strengthens building blockchain applications based on AI. On the other hand, the on-premise segment is expected to record significant growth due to the growing investments in AI blockchain platforms by SMEs and governments.
| Regional Market Comparison | Global Market Share in Percentage |
|---|---|
| North America | 29.4% |
| Europe | 22.6% |
According to the analysis, the global market is estimated to be dominated by North America. The USA is anticipated to garner the largest market share in the forecast period. It is estimated at US$ 917.7 million, recording a CAGR of 22.2% during the forecast period.
There were nearly 2,000 blockchain projects in the USA from 2014 to 2017, reveals the China Academy of Information and Communications Technology (CAICT). Also, the government in the USA is focused on deploying blockchain artificial intelligence-based solutions in various spheres.
Europe is likely to garner considerable market share with the United Kingdom contributing US$ 123.5 million, expanding at 21.5% CAGR. Sectors such as ITC, automotive, media, and entertainment, among others, are some of the most significant consumers. Also, rapid digitalization is expected to positively benefit the market in the region in the coming time.
| Regional Market Comparison | Global Market Share in Percentage |
|---|---|
| United States | 20.1% |
| Germany | 8.6% |
| Japan | 6.1% |
| Australia | 2.2% |
Growing partnerships among players are expected to augment the market in the United Kingdom. For instance, in March 2020, London-based West Ham United FC announced an AI partnership with British Blockchain firm Fetch Ai.
Asia Pacific is projected to be the most lucrative market in the assessment period. The region is witnessing rapid adoption of advanced technologies, which acts as a salient factor boosting the market in Asia Pacific. Emerging nations such as China, Japan, and South Korea are recognized to be the most remunerative markets.
As per the analysis, China, Japan, and South Korea are projected at US$ 208.2 million, US$ 175.5 million, and US$ 111.4 million respectively. Also, the three countries are expected to flourish at a healthy CAGR with China expanding at 22.1%, Japan at 21.4%, and South Korea at 21.1% in the forecast period.
The development of the region can be attributed to the increasing investments by governments. For instance, in May 2020, Tencent Holdings Ltd., the parent company of WeChat, made an investment of USD 70 billion into AI, Cybersecurity, Blockchain, and others in pursuit of new infrastructures.
| Countries | Estimated CAGR (2023 to 2033) |
|---|---|
| India | 20.3% |
| United Kingdom | 21.7% |
| China | 22.4% |
| Japan | 21.4% |
| South Korea | 21.1% |
Key players in the global blockchain AI business include Core Scientific, BurstIQ, Alpha Networks, Cyware, NeuroChain Tech, and Core Scientific among others.
Recent developments among key players are:
The market is valued at US$ 440 million in 2023.
Platform or Tool is said to dominate the market.
India is likely to expand at a CAGR of 20.3% from 2023 to 2033.
The United Kingdom market is likely to account for a CAGR of 21.7% from 2023 to 2033.
The lack of blockchain AI experts restrains the market from 2023 to 2033.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033
5.3.1. Services
5.3.2. Platform
5.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Mode
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Deployment Mode, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Mode, 2023 to 2033
6.3.1. Cloud-based
6.3.2. On-premises
6.4. Y-o-Y Growth Trend Analysis By Deployment Mode, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Deployment Mode, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Organization Size
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Organization Size , 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Organization Size , 2023 to 2033
7.3.1. Large Enterprises
7.3.2. SMEs
7.4. Y-o-Y Growth Trend Analysis By Organization Size , 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Organization Size , 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Technology
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By Technology, 2018 to 2022
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Technology, 2023 to 2033
8.3.1. ML-based
8.3.2. NLP-based
8.3.3. Context-Aware Computing-based
8.3.4. Computer Vision-based
8.4. Y-o-Y Growth Trend Analysis By Technology, 2018 to 2022
8.5. Absolute $ Opportunity Analysis By Technology, 2023 to 2033
9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Vertical
9.1. Introduction / Key Findings
9.2. Historical Market Size Value (US$ Million) Analysis By Vertical, 2018 to 2022
9.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Vertical, 2023 to 2033
9.3.1. Telecom and IT
9.3.2. BFSI
9.3.3. Healthcare and Life Sciences
9.3.4. Manufacturing
9.3.5. Media and Entertainment
9.3.6. Automotive
9.3.7. Others
9.4. Y-o-Y Growth Trend Analysis By Vertical, 2018 to 2022
9.5. Absolute $ Opportunity Analysis By Vertical, 2023 to 2033
10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application
10.1. Introduction / Key Findings
10.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022
10.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033
10.3.1. Smart Contracts
10.3.2. Payment and Settlement
10.3.3. Data Security
10.3.4. Data Sharing
10.3.5. Asset Tracking and Management
10.3.6. Logistics and Supply Chain Management
10.3.7. Business Process Optimization
10.3.8. Others
10.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022
10.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033
11. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
11.1. Introduction
11.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
11.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
11.3.1. North America
11.3.2. Latin America
11.3.3. Europe
11.3.4. South Asia
11.3.5. East Asia
11.3.6. Oceania
11.3.7. MEA
11.4. Market Attractiveness Analysis By Region
12. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. The USA
12.2.1.2. Canada
12.2.2. By Component
12.2.3. By Deployment Mode
12.2.4. By Organization Size
12.2.5. By Technology
12.2.6. By Vertical
12.2.7. By Application
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Component
12.3.3. By Deployment Mode
12.3.4. By Organization Size
12.3.5. By Technology
12.3.6. By Vertical
12.3.7. By Application
12.4. Key Takeaways
13. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. Brazil
13.2.1.2. Mexico
13.2.1.3. Rest of Latin America
13.2.2. By Component
13.2.3. By Deployment Mode
13.2.4. By Organization Size
13.2.5. By Technology
13.2.6. By Vertical
13.2.7. By Application
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Component
13.3.3. By Deployment Mode
13.3.4. By Organization Size
13.3.5. By Technology
13.3.6. By Vertical
13.3.7. By Application
13.4. Key Takeaways
14. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. Germany
14.2.1.2. United Kingdom
14.2.1.3. France
14.2.1.4. Spain
14.2.1.5. Italy
14.2.1.6. Rest of Europe
14.2.2. By Component
14.2.3. By Deployment Mode
14.2.4. By Organization Size
14.2.5. By Technology
14.2.6. By Vertical
14.2.7. By Application
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Component
14.3.3. By Deployment Mode
14.3.4. By Organization Size
14.3.5. By Technology
14.3.6. By Vertical
14.3.7. By Application
14.4. Key Takeaways
15. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. India
15.2.1.2. Malaysia
15.2.1.3. Singapore
15.2.1.4. Thailand
15.2.1.5. Rest of South Asia
15.2.2. By Component
15.2.3. By Deployment Mode
15.2.4. By Organization Size
15.2.5. By Technology
15.2.6. By Vertical
15.2.7. By Application
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Component
15.3.3. By Deployment Mode
15.3.4. By Organization Size
15.3.5. By Technology
15.3.6. By Vertical
15.3.7. By Application
15.4. Key Takeaways
16. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
16.2.1. By Country
16.2.1.1. China
16.2.1.2. Japan
16.2.1.3. South Korea
16.2.2. By Component
16.2.3. By Deployment Mode
16.2.4. By Organization Size
16.2.5. By Technology
16.2.6. By Vertical
16.2.7. By Application
16.3. Market Attractiveness Analysis
16.3.1. By Country
16.3.2. By Component
16.3.3. By Deployment Mode
16.3.4. By Organization Size
16.3.5. By Technology
16.3.6. By Vertical
16.3.7. By Application
16.4. Key Takeaways
17. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
17.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
17.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
17.2.1. By Country
17.2.1.1. Australia
17.2.1.2. New Zealand
17.2.2. By Component
17.2.3. By Deployment Mode
17.2.4. By Organization Size
17.2.5. By Technology
17.2.6. By Vertical
17.2.7. By Application
17.3. Market Attractiveness Analysis
17.3.1. By Country
17.3.2. By Component
17.3.3. By Deployment Mode
17.3.4. By Organization Size
17.3.5. By Technology
17.3.6. By Vertical
17.3.7. By Application
17.4. Key Takeaways
18. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
18.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
18.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
18.2.1. By Country
18.2.1.1. GCC Countries
18.2.1.2. South Africa
18.2.1.3. Israel
18.2.1.4. Rest of MEA
18.2.2. By Component
18.2.3. By Deployment Mode
18.2.4. By Organization Size
18.2.5. By Technology
18.2.6. By Vertical
18.2.7. By Application
18.3. Market Attractiveness Analysis
18.3.1. By Country
18.3.2. By Component
18.3.3. By Deployment Mode
18.3.4. By Organization Size
18.3.5. By Technology
18.3.6. By Vertical
18.3.7. By Application
18.4. Key Takeaways
19. Key Countries Market Analysis
19.1. USA
19.1.1. Pricing Analysis
19.1.2. Market Share Analysis, 2022
19.1.2.1. By Component
19.1.2.2. By Deployment Mode
19.1.2.3. By Organization Size
19.1.2.4. By Technology
19.1.2.5. By Vertical
19.1.2.6. By Application
19.2. Canada
19.2.1. Pricing Analysis
19.2.2. Market Share Analysis, 2022
19.2.2.1. By Component
19.2.2.2. By Deployment Mode
19.2.2.3. By Organization Size
19.2.2.4. By Technology
19.2.2.5. By Vertical
19.2.2.6. By Application
19.3. Brazil
19.3.1. Pricing Analysis
19.3.2. Market Share Analysis, 2022
19.3.2.1. By Component
19.3.2.2. By Deployment Mode
19.3.2.3. By Organization Size
19.3.2.4. By Technology
19.3.2.5. By Vertical
19.3.2.6. By Application
19.4. Mexico
19.4.1. Pricing Analysis
19.4.2. Market Share Analysis, 2022
19.4.2.1. By Component
19.4.2.2. By Deployment Mode
19.4.2.3. By Organization Size
19.4.2.4. By Technology
19.4.2.5. By Vertical
19.4.2.6. By Application
19.5. Germany
19.5.1. Pricing Analysis
19.5.2. Market Share Analysis, 2022
19.5.2.1. By Component
19.5.2.2. By Deployment Mode
19.5.2.3. By Organization Size
19.5.2.4. By Technology
19.5.2.5. By Vertical
19.5.2.6. By Application
19.6. United Kingdom
19.6.1. Pricing Analysis
19.6.2. Market Share Analysis, 2022
19.6.2.1. By Component
19.6.2.2. By Deployment Mode
19.6.2.3. By Organization Size
19.6.2.4. By Technology
19.6.2.5. By Vertical
19.6.2.6. By Application
19.7. France
19.7.1. Pricing Analysis
19.7.2. Market Share Analysis, 2022
19.7.2.1. By Component
19.7.2.2. By Deployment Mode
19.7.2.3. By Organization Size
19.7.2.4. By Technology
19.7.2.5. By Vertical
19.7.2.6. By Application
19.8. Spain
19.8.1. Pricing Analysis
19.8.2. Market Share Analysis, 2022
19.8.2.1. By Component
19.8.2.2. By Deployment Mode
19.8.2.3. By Organization Size
19.8.2.4. By Technology
19.8.2.5. By Vertical
19.8.2.6. By Application
19.9. Italy
19.9.1. Pricing Analysis
19.9.2. Market Share Analysis, 2022
19.9.2.1. By Component
19.9.2.2. By Deployment Mode
19.9.2.3. By Organization Size
19.9.2.4. By Technology
19.9.2.5. By Vertical
19.9.2.6. By Application
19.10. India
19.10.1. Pricing Analysis
19.10.2. Market Share Analysis, 2022
19.10.2.1. By Component
19.10.2.2. By Deployment Mode
19.10.2.3. By Organization Size
19.10.2.4. By Technology
19.10.2.5. By Vertical
19.10.2.6. By Application
19.11. Malaysia
19.11.1. Pricing Analysis
19.11.2. Market Share Analysis, 2022
19.11.2.1. By Component
19.11.2.2. By Deployment Mode
19.11.2.3. By Organization Size
19.11.2.4. By Technology
19.11.2.5. By Vertical
19.11.2.6. By Application
19.12. Singapore
19.12.1. Pricing Analysis
19.12.2. Market Share Analysis, 2022
19.12.2.1. By Component
19.12.2.2. By Deployment Mode
19.12.2.3. By Organization Size
19.12.2.4. By Technology
19.12.2.5. By Vertical
19.12.2.6. By Application
19.13. Thailand
19.13.1. Pricing Analysis
19.13.2. Market Share Analysis, 2022
19.13.2.1. By Component
19.13.2.2. By Deployment Mode
19.13.2.3. By Organization Size
19.13.2.4. By Technology
19.13.2.5. By Vertical
19.13.2.6. By Application
19.14. China
19.14.1. Pricing Analysis
19.14.2. Market Share Analysis, 2022
19.14.2.1. By Component
19.14.2.2. By Deployment Mode
19.14.2.3. By Organization Size
19.14.2.4. By Technology
19.14.2.5. By Vertical
19.14.2.6. By Application
19.15. Japan
19.15.1. Pricing Analysis
19.15.2. Market Share Analysis, 2022
19.15.2.1. By Component
19.15.2.2. By Deployment Mode
19.15.2.3. By Organization Size
19.15.2.4. By Technology
19.15.2.5. By Vertical
19.15.2.6. By Application
19.16. South Korea
19.16.1. Pricing Analysis
19.16.2. Market Share Analysis, 2022
19.16.2.1. By Component
19.16.2.2. By Deployment Mode
19.16.2.3. By Organization Size
19.16.2.4. By Technology
19.16.2.5. By Vertical
19.16.2.6. By Application
19.17. Australia
19.17.1. Pricing Analysis
19.17.2. Market Share Analysis, 2022
19.17.2.1. By Component
19.17.2.2. By Deployment Mode
19.17.2.3. By Organization Size
19.17.2.4. By Technology
19.17.2.5. By Vertical
19.17.2.6. By Application
19.18. New Zealand
19.18.1. Pricing Analysis
19.18.2. Market Share Analysis, 2022
19.18.2.1. By Component
19.18.2.2. By Deployment Mode
19.18.2.3. By Organization Size
19.18.2.4. By Technology
19.18.2.5. By Vertical
19.18.2.6. By Application
19.19. GCC Countries
19.19.1. Pricing Analysis
19.19.2. Market Share Analysis, 2022
19.19.2.1. By Component
19.19.2.2. By Deployment Mode
19.19.2.3. By Organization Size
19.19.2.4. By Technology
19.19.2.5. By Vertical
19.19.2.6. By Application
19.20. South Africa
19.20.1. Pricing Analysis
19.20.2. Market Share Analysis, 2022
19.20.2.1. By Component
19.20.2.2. By Deployment Mode
19.20.2.3. By Organization Size
19.20.2.4. By Technology
19.20.2.5. By Vertical
19.20.2.6. By Application
19.21. Israel
19.21.1. Pricing Analysis
19.21.2. Market Share Analysis, 2022
19.21.2.1. By Component
19.21.2.2. By Deployment Mode
19.21.2.3. By Organization Size
19.21.2.4. By Technology
19.21.2.5. By Vertical
19.21.2.6. By Application
20. Market Structure Analysis
20.1. Competition Dashboard
20.2. Competition Benchmarking
20.3. Market Share Analysis of Top Players
20.3.1. By Regional
20.3.2. By Component
20.3.3. By Deployment Mode
20.3.4. By Organization Size
20.3.5. By Technology
20.3.6. By Vertical
20.3.7. By Application
21. Competition Analysis
21.1. Competition Deep Dive
21.1.1. Core Scientific
21.1.1.1. Overview
21.1.1.2. Product Portfolio
21.1.1.3. Profitability by Market Segments
21.1.1.4. Sales Footprint
21.1.1.5. Strategy Overview
21.1.1.5.1. Marketing Strategy
21.1.2. BurstIQ
21.1.2.1. Overview
21.1.2.2. Product Portfolio
21.1.2.3. Profitability by Market Segments
21.1.2.4. Sales Footprint
21.1.2.5. Strategy Overview
21.1.2.5.1. Marketing Strategy
21.1.3. Alpha Networks
21.1.3.1. Overview
21.1.3.2. Product Portfolio
21.1.3.3. Profitability by Market Segments
21.1.3.4. Sales Footprint
21.1.3.5. Strategy Overview
21.1.3.5.1. Marketing Strategy
21.1.4. Cyware
21.1.4.1. Overview
21.1.4.2. Product Portfolio
21.1.4.3. Profitability by Market Segments
21.1.4.4. Sales Footprint
21.1.4.5. Strategy Overview
21.1.4.5.1. Marketing Strategy
21.1.5. NeuroChain Tech
21.1.5.1. Overview
21.1.5.2. Product Portfolio
21.1.5.3. Profitability by Market Segments
21.1.5.4. Sales Footprint
21.1.5.5. Strategy Overview
21.1.5.5.1. Marketing Strategy
21.1.6. IBM
21.1.6.1. Overview
21.1.6.2. Product Portfolio
21.1.6.3. Profitability by Market Segments
21.1.6.4. Sales Footprint
21.1.6.5. Strategy Overview
21.1.6.5.1. Marketing Strategy
21.1.7. Oracle
21.1.7.1. Overview
21.1.7.2. Product Portfolio
21.1.7.3. Profitability by Market Segments
21.1.7.4. Sales Footprint
21.1.7.5. Strategy Overview
21.1.7.5.1. Marketing Strategy
21.1.8. Amazon Web Services (AWS)
21.1.8.1. Overview
21.1.8.2. Product Portfolio
21.1.8.3. Profitability by Market Segments
21.1.8.4. Sales Footprint
21.1.8.5. Strategy Overview
21.1.8.5.1. Marketing Strategy
21.1.9. ConsenSys
21.1.9.1. Overview
21.1.9.2. Product Portfolio
21.1.9.3. Profitability by Market Segments
21.1.9.4. Sales Footprint
21.1.9.5. Strategy Overview
21.1.9.5.1. Marketing Strategy
21.1.10. Google
21.1.10.1. Overview
21.1.10.2. Product Portfolio
21.1.10.3. Profitability by Market Segments
21.1.10.4. Sales Footprint
21.1.10.5. Strategy Overview
21.1.10.5.1. Marketing Strategy
22. Assumptions & Acronyms Used
23. Research Methodology
Explore Technology Insights
View Reports
Blockchain AI Market
