The artificial intelligence and blockchain cloud services market size is expected to see exponential growth in the next few years. It will grow to $353.5 billion in 2030 at a compound annual growth rate (CAGR) of 32.1%. The growth in the forecast period can be attributed to rising demand for integrated AI and blockchain solutions, increasing need for scalable decentralized applications, growing adoption of blockchain-based business process automation, expanding demand for intelligent data security solutions, and increasing enterprise investment in cloud-based digital infrastructure. Major trends in the forecast period include rising demand for integrated AI and blockchain cloud services, increasing adoption of blockchain-based smart contract automation, growing demand for decentralized data management, increasing use of AI-enabled blockchain analytics, and rising demand for blockchain-based data transparency and traceability.
The increasing adoption of cloud computing across enterprises is expected to drive the growth of the artificial intelligence and blockchain cloud services market in the coming years. Cloud computing across enterprises refers to the use of shared, scalable, and on-demand computing resources, such as storage, applications, and processing power, delivered over the internet to support business operations across multiple organizations. The increasing adoption of cloud computing across enterprises is driven by its ability to reduce information technology costs by eliminating the need for large upfront investments in physical infrastructure and lowering ongoing expenses associated with maintenance, upgrades, and in-house information technology management. The increasing adoption of cloud computing across enterprises accelerates the growth of artificial intelligence and blockchain cloud services by providing scalable computing resources, flexible storage, and on-demand processing power required to deploy and integrate these advanced technologies efficiently. For instance, in January 2026, according to Eurostat, a Luxembourg-based official European Union statistical office, 52.74% of EU enterprises used paid cloud computing services in 2025, primarily for e-mail, office software, and file storage, showing an increase compared with 2023. Therefore, the increasing adoption of cloud computing across enterprises is driving the growth of the artificial intelligence and blockchain cloud services market.
Major companies operating in the artificial intelligence and blockchain cloud services market are focusing on developing innovative platforms, such as AI-powered decentralized cloud platforms, to improve computational efficiency, strengthen data security, and enable scalable, trustless cloud infrastructure. AI-powered decentralized cloud platforms are cloud computing systems that combine artificial intelligence with blockchain-based decentralized infrastructure to securely distribute computing, storage, and AI processing across multiple independent nodes instead of relying on centralized data centers. For instance, in July 2025, Planck Network Ltd, a UAE-based blockchain infrastructure company, launched a decentralized AI computing network designed to connect individual GPU owners with developers requiring high-performance computing resources. Built on a layer-0 blockchain architecture, the platform enables users to rent GPU capacity through a decentralized marketplace, reducing AI computing costs by up to 90% compared with conventional cloud providers. Additionally, the network facilitates scalable and secure resource sharing while addressing the growing demand for affordable AI infrastructure, supporting the broader adoption of artificial intelligence applications across industries.
In May 2024, Synechron Inc., a US-based technology and software company, acquired iGreenData for an undisclosed amount. Through this acquisition, Synechron aimed to strengthen its digital transformation and payments capabilities, expand its cloud and data engineering expertise, broaden its service portfolio, and accelerate its expansion into the Australian market while improving global client support across multiple time zones. iGreenData Pty Ltd is an Australia-based company that provides artificial intelligence (AI) and blockchain cloud services.
Major companies operating in the artificial intelligence and blockchain cloud services market are Amazon Web Services Inc., Microsoft Corporation, NVIDIA Corporation, Dell Technologies Inc., Accenture plc, Deloitte Touche Tohmatsu Limited, International Business Machines Corporation, Oracle Corporation, Cisco Systems Inc., Intel Corporation, SAP SE, Salesforce Inc., Hewlett Packard Enterprise Company, Tata Consultancy Services Limited, Capgemini SE, Cognizant Technology Solutions Corporation, Infosys Limited, HCL Technologies Limited, ServiceNow Inc., DXC Technology Company, Wipro Limited, Tech Mahindra Limited, EPAM Systems Inc.
North America was the dominant region in the artificial intelligence and blockchain cloud services market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the artificial intelligence and blockchain cloud services market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the artificial intelligence and blockchain cloud services market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
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Table of Contents
Executive Summary
Artificial Intelligence And Blockchain Cloud Services Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence and blockchain cloud services market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for artificial intelligence and blockchain cloud services? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence and blockchain cloud services market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Scope
Markets Covered:
1) By Component: Services; Platform Or Tools2) By Deployment Model: Cloud-Based; On-Premises; Hybrid Deployment
3) By Organization Size: Large Enterprises; Small And Medium Enterprises
4) By Application: Smart Contracts; Payment And Settlement; Data Security; Data Sharing Or Communication; Asset Tracking And Management; Logistics And Supply Chain Management; Business Process Optimization; Other Applications
5) By Industry Vertical: Banking, Financial Services, And Insurance; Healthcare And Life Sciences; Information Technology And Telecommunications; Retail And E-Commerce; Manufacturing; Government And Public Sector
Subsegments:
1) By Services: Consulting Services; Integration Services; Deployment Services; Managed Services; Support And Maintenance Services; Training And Education Services; Security Services; Data Migration Services2) By Platform Or Tools: Artificial Intelligence Development Platforms; Machine Learning Platforms; Blockchain Development Platforms; Smart Contract Platforms; Data Analytics Platforms; Application Programming Interface Management Tools; Cloud Infrastructure Platforms; Data Integration Tools
Companies Mentioned: Amazon Web Services Inc.; Microsoft Corporation; NVIDIA Corporation; Dell Technologies Inc.; Accenture plc; Deloitte Touche Tohmatsu Limited; International Business Machines Corporation; Oracle Corporation; Cisco Systems Inc.; Intel Corporation; SAP SE; Salesforce Inc.; Hewlett Packard Enterprise Company; Tata Consultancy Services Limited; Capgemini SE; Cognizant Technology Solutions Corporation; Infosys Limited; HCL Technologies Limited; ServiceNow Inc.; DXC Technology Company; Wipro Limited; Tech Mahindra Limited; EPAM Systems Inc.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentations: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
- Amazon Web Services Inc.
- Microsoft Corporation
- NVIDIA Corporation
- Dell Technologies Inc.
- Accenture plc
- Deloitte Touche Tohmatsu Limited
- International Business Machines Corporation
- Oracle Corporation
- Cisco Systems Inc.
- Intel Corporation
- SAP SE
- Salesforce Inc.
- Hewlett Packard Enterprise Company
- Tata Consultancy Services Limited
- Capgemini SE
- Cognizant Technology Solutions Corporation
- Infosys Limited
- HCL Technologies Limited
- ServiceNow Inc.
- DXC Technology Company
- Wipro Limited
- Tech Mahindra Limited
- EPAM Systems Inc.

