The artificial intelligence (AI) in digital transformation market size is expected to see exponential growth in the next few years. It will grow to $1.67 trillion in 2030 at a compound annual growth rate (CAGR) of 31.5%. The growth in the forecast period can be attributed to autonomous enterprise systems adoption, AI first IT strategies, expansion of hybrid cloud models, real time operational intelligence demand, cybersecurity risk escalation. Major trends in the forecast period include enterprise process automation with AI, AI driven business intelligence, predictive operational analytics, intelligent cybersecurity automation, AI enabled cloud transformation.
The growing adoption of cloud services is expected to support the growth of AI in the digital transformation market going forward. Cloud services provide computing resources such as servers, storage, databases, networking, software, and analytics over the internet, enabling users to access these resources on demand. The increasing use of cloud services is associated with their scalability, flexibility, and ability to reduce reliance on physical infrastructure while supporting business and individual computing needs. AI in digital transformation encourages cloud adoption by demonstrating the value of cloud-based AI tools that enhance operational efficiency, data analysis, and overall digital transformation initiatives. For example, in November 2024, Gartner, a UK-based IT service management company, stated that public cloud spending is anticipated to reach $723.4 billion in 2025, rising from $595.7 billion in 2024, with 90% of organizations projected to adopt a hybrid cloud approach by 2027. Therefore, the expanding adoption of cloud services is contributing to the growth of AI in the digital transformation market.
Leading companies operating in the AI in digital transformation market are developing AI-powered DevSecOps platforms to enhance security, streamline development workflows, and ensure regulatory compliance. AI-powered DevSecOps platforms use artificial intelligence to automate security testing, identify vulnerabilities, and deliver real-time threat detection throughout the software development lifecycle. For example, in October 2023, Digital.ai, a US-based technology company, launched Denali, an open, AI-powered DevSecOps platform designed to accelerate enterprise software delivery. This platform strengthens web application security and automates software delivery processes, improving developer productivity and aligning outcomes with business objectives. Its advanced features include ARM protection for iOS applications and expanded testing coverage, enabling organizations to deliver secure, high-quality applications at scale.
In January 2024, Accenture, an Ireland-based technology company, acquired Navisite for an undisclosed amount. This acquisition is expected to strengthen Accenture’s application and infrastructure managed services capabilities, enabling improved support for North American clients undergoing cloud transformations and IT modernization in the AI era, and accelerating their digital transformation initiatives. Navisite is a US-based digital transformation and managed services provider that uses AI and machine learning to support outcome prediction and decision-making.
Major companies operating in the artificial intelligence (AI) in digital transformation market are Amazon.com Inc., Google LLC, Microsoft Corporation, Dell Technologies Inc., Huawei Technologies Co. Ltd., Siemens AG, General Electric Company, Accenture plc, Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., Qualcomm Incorporated, Oracle Corporation, Fujitsu Limited, SAP SE, Salesforce Inc., ABB Ltd., Tata Consultancy Services Limited, Hewlett Packard Enterprise Company, Nvidia Corporation, Capgemini SE, Cognizant Technology Solutions Corporation, Infosys Limited, Adobe Inc., Vmware LLC, Wipro Limited, Hitachi Vantara Corporation.
North America was the largest region in the AI in digital transformation market in 2025. The regions covered in the artificial intelligence (AI) in digital transformation 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 (AI) in digital transformation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have impacted AI driven digital transformation initiatives by increasing costs of servers, networking equipment, and enterprise hardware. Organizations in manufacturing and government sectors are more exposed due to infrastructure heavy deployments. Asia pacific and europe have seen higher project costs due to import dependencies. These pressures have delayed some large scale transformation programs. Conversely, tariffs have encouraged adoption of software centric and cloud based AI transformation models.
The artificial intelligence (AI) in digital transformation market research report is one of a series of new reports that provides artificial intelligence (AI) in digital transformation market statistics, including artificial intelligence (AI) in digital transformation industry global market size, regional shares, competitors with a artificial intelligence (AI) in digital transformation market share, detailed artificial intelligence (AI) in digital transformation market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in digital transformation industry. This artificial intelligence (AI) in digital transformation market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Artificial intelligence (AI) in digital transformation involves integrating AI technologies into business processes to boost efficiency, innovation, and customer experience. AI facilitates the automation of repetitive tasks, data-driven decision-making, and personalized customer interactions. It also enhances operations, strengthens cybersecurity, and speeds up product development, contributing to overall business growth and competitiveness.
The key components in the AI digital transformation market are solutions and services. Solutions include both pre-packaged and custom-designed software and tools that help organizations incorporate AI into their operations. These solutions leverage various technologies such as machine learning (ML), natural language processing (NLP), and computer vision, with deployment options available in both cloud-based and on-premise environments. The market serves a wide range of industry verticals, including banking, financial services, and insurance (BFSI), information technology (IT) and telecommunications, government and public sector, healthcare, manufacturing, retail, and more.
The AI in digital transformation market consists of revenues earned by entities by providing services such as AI-driven analytics, automation solutions, and predictive maintenance. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in digital transformation market also includes sales of edge computing devices, tensor processing units, and graphics processing units. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Artificial Intelligence (AI) In Digital Transformation 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 (AI) in digital transformation 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 (AI) in digital transformation? 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 (AI) in digital transformation 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.
Report Scope
Markets Covered:
1) By Component: Solution; Services2) By Technology: Machine Learning (ML); Natural Language Processing (NLP); Computer Vision; Other Technologies
3) By Deployment Mode: Cloud-Based; On-Premise
4) By Industry Vertical: Banking Financial Services And Insurance (BFSI); Information Technology (IT) And Telecommunications; Government And Public Sector; Healthcare; Manufacturing; Retail; Other End-Use Industries
Subsegments:
1) By Solution: AI-Powered Cloud Computing Solutions; AI-Based Automation Tools; AI-Driven Data Analytics Platforms; Predictive Analytics And Forecasting Tools; AI-Based Business Intelligence Solutions; Natural Language Processing (NLP) Solutions; AI For Cybersecurity Solutions; AI-Enabled Customer Relationship Management (CRM) Systems; AI-Powered Enterprise Resource Planning (ERP) Solutions2) By Services: AI Integration And Implementation Services; Consulting Services For Digital Transformation Strategy; AI And Data Analytics Training Services; Cloud Migration And Integration Services; AI-Powered Process Automation Services; AI-Driven IT Infrastructure Management; Managed AI Services; Post-Implementation Support And Maintenance Services
Companies Mentioned: Amazon.com Inc.; Google LLC; Microsoft Corporation; Dell Technologies Inc.; Huawei Technologies Co. Ltd.; Siemens AG; General Electric Company; Accenture plc; Intel Corporation; International Business Machines Corporation; Cisco Systems Inc.; Qualcomm Incorporated; Oracle Corporation; Fujitsu Limited; SAP SE; Salesforce Inc.; ABB Ltd.; Tata Consultancy Services Limited; Hewlett Packard Enterprise Company; Nvidia Corporation; Capgemini SE; Cognizant Technology Solutions Corporation; Infosys Limited; Adobe Inc.; Vmware LLC; Wipro Limited; Hitachi Vantara Corporation
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 Segmentation: 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
The companies featured in this AI in Digital Transformation market report include:- Amazon.com Inc.
- Google LLC
- Microsoft Corporation
- Dell Technologies Inc.
- Huawei Technologies Co. Ltd.
- Siemens AG
- General Electric Company
- Accenture plc
- Intel Corporation
- International Business Machines Corporation
- Cisco Systems Inc.
- Qualcomm Incorporated
- Oracle Corporation
- Fujitsu Limited
- SAP SE
- Salesforce Inc.
- ABB Ltd.
- Tata Consultancy Services Limited
- Hewlett Packard Enterprise Company
- Nvidia Corporation
- Capgemini SE
- Cognizant Technology Solutions Corporation
- Infosys Limited
- Adobe Inc.
- Vmware LLC
- Wipro Limited
- Hitachi Vantara Corporation
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 560.13 Billion |
| Forecasted Market Value ( USD | $ 1670 Billion |
| Compound Annual Growth Rate | 31.5% |
| Regions Covered | Global |
| No. of Companies Mentioned | 28 |


