Cloud Network Infrastructure Market Share, Business Overview, Challenges, Opportunities Share Global Analysis and Forecast to 2027

Market
Overview:
The global blockchain
AI market is expected to reach USD XX million by 2026, registering a CAGR of XX%
during the forecast period. In this report, Market Research Future (MRFR)
includes the segmentation and dynamics of the market to offer a better glimpse
into the coming years.
The
global blockchain AI market has been segmented based on technology, component,
applications, deployment mode, organization size, vertical, and region.
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Comparative Analysis:
The key players of the
global blockchain AI market are Figure Technologies (US), Cyware Labs (US),
Core Scientific (US), NetObjex (US), Fetch.ai (UK), Ai-Blockchain (US),
AlphaNetworks (US), Bext360 (US), Blackbird.AI (US), BurstIQ (US), Chainhaus
(US), CoinGenius (US), Computable (US), Finalze (US), Gainfy (US), Hannah
Systems (US), LiveEdu (UK), Mobs (US), Neurochain Tech (France), Numerai (US),
SingularityNET (The Netherlands), Stowk (US), Synapse AI (US), Talla (US),
Verisart (US), VIA (US), Vytalyx (US), Wealthblock.AI (US), and Workdone (US).
Segmentation Overview:
Based
on technology, the blockchain AI market has been segmented into machine
learning, natural language processing, context-aware computing, and computer
vision. The machine learning segment accounted for the largest market share and
is expected to hold the highest CAGR during the forecast period. The machine
learning segment extracts meaningful insights from raw data to solve complex,
data-rich business problems quickly. Additionally, it helps improve the
efficiency of logistics and transportation networks.
Based
on component, the blockchain AI market has been segmented into platform/tools
and services. The service segment held the larger market share of the global
blockchain AI market and is also expected to witness a higher CAGR during the
forecast period. The service segment is further divided into consulting, system
integration and deployment, and support and maintenance. It deploys, executes,
and maintains the blockchain AI platform in an organization.
Based
on applications, the blockchain AI market has been 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 other. The data security segment is expected to
dominate the market over the forecast period as it offers enhanced operational
efficiency and ensures a more secure environment. The data security segment
enhanced security and quick and transparent operations.
Based
on deployment mode, the blockchain AI market has been segmented into cloud and
on-premises. The cloud segment is expected to register the largest market share
during the forecast period as it assists in secure data storage and offers
remote access to any work-related data.
Based
on organization size, the blockchain AI market has been segmented into large
enterprises and SMEs. The SMEs segment is projected to register a faster growth
rate over the forecast period. SMEs are adopting solutions powered by
blockchain and AI as they allow businesses to access high-quality data and
insights at a low cost.
Regional Analysis:
The regional analysis for
the global blockchain AI market has been done for North America, Europe,
Asia-Pacific, and the Middle East & Africa, and South America. The market
in North America accounted for the largest market share in 2019, and it is
expected to register strong growth during the forecast period. The market in
Asia-Pacific is expected to register the highest CAGR during the forecast
period. This growth can be attributed to the growing adoption of blockchain-AI
technology among the various verticals.
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Table of Contents:
1 Executive
Summary
2 Scope of the
Report
2.1 Market
Definition
2.2 Scope
of the Study
2.2.1 Research objectives
2.2.2 Assumptions & Limitations
2.3 Markets
Structure
3 Market
Research Methodology
3.1 Research
Process
3.2 Secondary
Research
3.3 Primary
Research
3.4 Forecast
Model
Continued….
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