Digital transformation (DX) is the strategic integration of technologies into processes to improve how a business operates and delivers value to customers. DX can include adopting AI, cloud platforms, intelligent automation, and more.

Since the COVID-19 pandemic, companies swiftly adapted to new digital methods. The reason lies in recognizing the immense potential of digital technologies to drive growth and innovation. In fact, DX enables businesses to innovate faster through data analytics, machine learning, etc.

In this article, you’ll find the latest digital transformation statistics and trends. Keep reading to learn more about the DX market, adoption rates, spending, common challenges, AI trends, and investment facts.

 

Key Digital Transformation Statistics

  • Global spending on digital transformation reached $2.58 trillion in 2025 and is expected to reach $3.9 trillion by 2027.
  • Worldwide AI spending reaches $2.59 trillion in 2026, up 47% year over year.
  • 90% of businesses are engaged in digital initiatives, showcasing a widespread digital transformation priority.
  • Organizations allocated 13.7% of their revenue to digital initiatives in 2025, up from 7.5% in 2024. Forecasts suggest it could reach 32% by 2028.
  • The global digital transformation market was valued at $1,583.21 billion in 2026, with a projected CAGR of 19.4% through 2033.
  • 96% of CIOs have already deployed or plan to use AI and machine learning for digital-first initiatives such as AI communication or implementing a remote-first workspace within the next 24 months.
  • 40% of enterprise applications will feature task-specific AI agents by the end of 2026, up from less than 5% in 2025.
  • Only 1 in 2 of enterprise-wide digital transformation initiatives meet business targets.

Digital Transformation Market and Spending

Digital transformation spend continues to surge as organizations prioritize technology investments. Companies are allocating larger portions of their revenue to digital initiatives, with AI and cloud solutions leading the charge. Read on to explore digital transformation statistics on market size and spending.

  • 1. The global digital transformation market was valued at $1,583.21 billion in 2026, up from $1,302.95 billion in 2025, with a projected compound annual growth rate (CAGR) of 19.4% through 2033.
  • 2. In terms of segment, digital transformation solutions (e.g., analytics, cloud computing, mobility, social media) accounted for a 67.6% in the global digital transformation market in 2025.
  • 3. According to digital transformation reports from Grand View Research, the enterprise organization segment held over 51.6% of the market revenue in 2024.
  • 4. Based on deployment, the market is divided into three segments - hosted, cloud, and on-premise solutions. The hosted held a significant market share of 51.6% in 2024.
  • 5. North America led with a 43% revenue share in the digital transformation market. The main reasons for this are a well-developed IT infrastructure and significant investments in startups developing cutting-edge container solutions.
  • 6. The United States owned 32.2% of worldwide digital transformation revenue. The Asia/Pacific region, with countries like Japan and China, falls shortly behind with 23.7%. The European digital transformation market accounted for 23.3%, while the Middle East and Africa (MEA) region accounted for only 4.4%.
  • 7. Global spending on digital transformation reached 2.58 trillion U.S. dollars in 2025.
  • 8. Worldwide digital transformation spending is expected to reach $3.9 trillion by 2027, with a five-year CAGR of 16.1%.
  • 9. In 2025, organizations with $13.4 billion in average revenue allocated $1.8 billion to digital initiatives, marking an increase from 7.5% of revenue in 2024 to 13.7% in 2025.
  • 10. In 2025, the digital economy accounts for 15% of global GDP, and artificial intelligence is now widely used in the healthcare, finance, education, and manufacturing sectors.
  • 11. 46% of budgets for digital initiatives in 2025 were allocated to data and platform digitization (compared to 44% in 2024), and 55% to priority digital transformation tasks.
  • 12. More than half of organizations (average of 36%) now allocate between 21% and 50% of their digital initiative budgets to AI, equating to about $700 million for a company with US$13 billion in revenue.
  • 13. If current growth trends continue, organizations could allocate 32% of their revenue to digital budgets by 2028, representing a 2.3x increase from 2025 levels.
  • 14. Global ICT spending is set to reach $4 trillion in 2026, growing 10% year over year. Software remains the largest segment at more than a third of the total, while hardware grows fastest at 15%.
  • 15. Worldwide IT spending totals $6.31 trillion in 2026, an increase of 13.5%. Data center systems are the fastest-growing segment at 55.8%.
  • 16. Worldwide AI spending reaches $2.59 trillion in 2026, up 47% from the year before. AI infrastructure accounts for over 45% of that total.

Digital Adoption Trends

Discover the essentials of digitalization in business. Read on to learn how companies are embarking on DX initiatives.

  • 17. An impressive 90% of businesses are now pursuing digital initiatives.
  • 18. DX projects have been scaled by 40% of organizations. One of the ways to do so is by increasing the use of technology, budget, etc.
  • 19. A notable 89% of board directors integrate digital business in all of their growth strategies.
  • 20. Only 48% of enterprise-wide digital transformation initiatives meet or exceed business outcome targets, according to the Gartner 2025 CIO digital transformation survey.
  • 21. 49% of data and analytics (D&A) initiative leaders have established business-outcome-driver metrics that allow stakeholders to track digital transformation value.
  • 22. 26% of businesses that adopted AI-ready data reported a 26% improvement in business outcomes.
  • 23. 35% of businesses focus on digital strategies to improve the resilience of operations. 34% of respondents also aim to mitigate operational and strategic risks. Among other goals are launching new products or services (31%), improving the quality of internal services (30%), and growing revenue from existing customers (27%).
  • 24. Only 7% of organizations have no digital-first strategy. The main reasons are skill shortages, lack of executive support, and budget constraints.
  • 25. One in four organizations (25%) has a clear digital or workforce strategy roadmap.
  • 26. Organizations focus on AI and generative AI capabilities (74%), data management and architecture (55%), and cloud platforms (47%) in their digital strategies. More broadly, 88% of organizations now use AI regularly in at least one business function, up from 78% the year before, though only about a third have begun scaling it across the enterprise.
  • 27. Only 26% of IT service managers and technology department managers consider themselves experts in strategic IT budget management, balancing digital transformation costs, expenses, and risks at the enterprise level.
  • 28. 57% of organizations report that digital transformation was more impactful on the workplace than physical or cultural elements (38% and 15%, respectively).
  • 29. 37% of companies are 12 to 24 months into executing digital transformation. Per Prophet's digital transformation statistics, 29% are less than 12 months in.
  • 30. Most companies (70%) adopt a comprehensive approach to DX. Specifically, they coordinate the efforts of several departments for a similar level of digital fluency and technology.
  • 31. Per Deloitte's digital transformation statistics, 66% of organizations report productivity and efficiency gains from AI. Only 20% report a revenue increase, however, while 74% aspire to revenue growth from it.
  • 32. 76% of organizations now have a Chief AI Officer, up from 26% a year earlier. As stated in IBM's 2026 CEO study, 48% of operational decisions are expected to be made by AI without human intervention by 2030, compared with 25% today.

digital transformation statistics technology investment

Digital Transformation Stats on Company Priorities and Goals

Now, let’s discover what drives companies in their DX journey. In this section, you’ll find out what their top priorities and goals are, from core business growth to innovation.

  • 33. Improved employee productivity (57%) tops digital transformation goals for companies in 2026 to 2027. Reduced costs (45%) and improved customer/citizen experience (40%) follow closely.
  • 34. 47% of CIOs and technology executives picked "integrate, innovate, and modernize enterprise applications" as a focus for the next 12 months.
  • 35. Upgrading technology (50%), achieving operational efficiency (34%), and gaining more value from data (32%) are transformation priorities.
  • 36. Companies that are top-performing in digital transformation measure their success of initiatives through innovation (36%), e.g., new products created, ideas generated, etc. The second-placed metric is digital literacy (32%), e.g., educated workforce, capabilities assessment, etc. Efficiency (40%), e.g., productivity, gross margin, etc., follows tightly.
  • 37. 86% of executives plan to increase their AI investment in 2026. Per Accenture's research, 83% of organizations have also accelerated transformation execution over the past year.

Difficulty of Digital Transformation

Facing challenges in digital transformation? Let’s explore data for digital transformation difficulties and failure rates.

  • 38. 42% of business leaders cite trade-related disruptions to their access to technology and digital tools.
  • 39. 62% of strategy leaders noted that an overburdened legacy operating model cannot support current and future strategic objectives and digital transformation plans.
  • 40. Misaligned incentives emerged as the primary obstacle to digital transformation, with legacy systems, insufficient internal technical skills, security issues, absent transformation strategies, and inadequate funding each cited by approximately 60% of respondents.
  • 41. 45% of small and medium businesses (SMBs) encounter budget limitations (35%) as a major challenge in digital strategy execution. 35% of them also deal with competing priorities (35%) and the staff’s insufficient IT skills (34%), according to Foundry’s digital transformation statistics.
  • 42. In 2022, the digital transformation failure rates varied between 70% to 95%. The average value was 87.5%.
  • 43. 30% of GenAI projects will be discontinued after proof of concept (POC) due to poor data quality, insufficient risk control, rising costs, or unclear business value.
  • 44. 63% of employers state that current skill gaps in the workforce are the biggest barrier to digital transformation. 85% of them will provide training for upskilling employees.
  • 45. MIT's research on enterprise AI found that 95% of generative AI pilots deliver no measurable return on the profit and loss statement. The study covered more than 300 deployments and 52 case studies.
  • 46. Only about 5% of organizations achieve substantial financial gains from AI, while around 60% report little or no impact. BCG's digital transformation statistics also show that leading companies focus on 3.5 AI use cases on average, compared with 6.1 among laggards, and generate 2.1x more ROI.
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Digital Transformation Statistics on Business Process Transformations

From artificial intelligence to hyper-automation statistics, in this section, we’ll take a look at up-to-date digital transformation approaches.

 

Emerging Technologies and Investment Trends

  • 47. GenAI (+38%), AI (+36%), and cyber/information security (+26%) exploring technology funding increases for 2026. Business intelligence/data analytics (+25%) and cloud platforms (+21%) round out the top five.

digital transformation statistics technology funding change

  • 48. 52% of chief information officers (CIOs) recognize Generative AI as a main digitalization trend and have already deployed it in 2025. Currently, 26% of CIOs plan to deploy it in the next 12 months, and 12% in 1-2 years.
  • 49. Future digital transformation trends for 2026 include the deployment of GenAI, AI agents, industry cloud platforms, distributed hybrid infrastructure, advanced authentication technologies, 5G, edge computing, and intelligent automation, among others.

digital transformation statistics state of deployment for technologies

  • 50. Due to digitalization, 84% of organizations report that they will increase their technology funding for cyber/information security in 2026. It’s 26% bigger than in 2025. Worldwide security spending reaches $308 billion in 2026, an increase of 11.8%.
  • 51. In 2025, 60% of organizations include some sort of automation (business optimization using AI, ML, and software robot utilization) in their digital transformation plans.
  • 52. Organizations report different ROI rates, including: 84% for AI and generative AI investments, 83% for data management and architecture, and 79% for mobile, cloud platforms, and cloud native applications.
  • 53. 43% of organizations have already deployed industry cloud platforms, with 11% planning deployment in the next 12 months and 9% in the next 12-24 months.
  • 54. 49% of technology executives state that their organization has already deployed low-code/no-code platforms, with 15% planning deployment in the next 12 months.
  • 55. 79% of organizations are increasing business intelligence/data analytics spending in 2026, with a mean percent change of +25%. Only 4% are decreasing it.
  • 56. Global public cloud services spending surpasses $1 trillion in 2026, an increase of 21%. SaaS accounts for more than half of that spending, while PaaS grows fastest at 37%.

 

Workplace Transformation and AI

  • 57. Companies report that continuous digital learning (22%) and flexible leadership (22%) are crucial for innovation and digital experience.

digital transformation statistics best DEX practices

  • 58. 57% of technology executives prioritize improving employee productivity as a top outcome from digital transformation for 2026-2027.
  • 59. 59% of organizations are increasing funding for digital workplace technologies in 2026, with a mean percent change of +14%.
  • 60. The proportion of HR leaders either deploying or planning to deploy GenAI increased significantly from 19% in June 2023 to 61% by January 2025. In fact, 26% of HR leaders are now implementing AI-first operating models.
  • 61. 40% of personnel managers expect AI to replace employees. By 2030, AI is forecast to displace 92 million jobs globally but create 170 million more.
  • 62. Approximately 39% of skills will need updating due to AI sustainability and deglobalization. Individuals will have to pay attention to analytical thinking and resilience the most. Technology literacy and leadership follow closely.
  • 63. By 2030, digitization, robotics, and AI advancements may impact career changes for 14% of the global workforce.
  • 64. By 2027, 75% of leaders of data and analytics initiatives who have not proven themselves to be indispensable strategic partners in the successful implementation of artificial intelligence in their organizations will lose their senior leadership positions.
  • 65. 53% of organizations report that their efforts to realize GenAI ROI met their expectations in 2025.
  • 66. 29% of employees will require reskilling between 2026 and 2028, and 53% need upskilling for their current roles. Only a quarter of the workforce uses AI regularly, even though 86% have the necessary skills.

 

Digital Employee Experience (DEX)

  • 67. 77% of IT professionals say their organizations measure and manage DEX in 2025. Yet only 50% classify it as a high priority within corporate strategy.
  • 68. Among tech issues that impact employees’ experience at work, the most frequent are slow network connections (24%), too many unique logins (23%), poor device performance (20%), and poor app performance (18%).
  • 69. Employees experience technology interruptions an average of 3.6 times per month and security update disruptions 2.7 times per month. For a company of 2,000 employees with a loaded cost of $100/hour, that equals nearly $4 million in annual productivity loss.
  • 70. As stated in Ivanti digital transformation statistics, 87% of IT teams see DEX as crucial to productivity.
  • 71. The main challenges to prioritizing DEX for organizations include cost/budget (47%), complex tech stack (41%), lack of skilled talent (34%), and more urgent tech problems (27%).

digital transformation statistics challenges to the employee’s digital experience

  • 72. Despite rising investment, 42% of organizations still struggle to automate workflows and monitor endpoints effectively.
  • 73. Among organizations that allow AI usage in the workplace, only 40% provide formal training, while 24% plan to introduce it.
  • 74. In the US, 68% to 71% of employees prefer remote work for at least three days a week due to DX.
  • 75. Organizations tracking process effectiveness as a KPI declined from 81% to 75% in 2025, even as AI technology investments remained high.

Digital Transformation Statistics on AI Agents and Agentic AI

AI agents are software systems that can plan and carry out multi-step tasks with limited human input. They are the newest layer of digital transformation, built on top of the automation and generative AI tools companies adopted over the past few years.

 

Agentic AI Adoption Rates

  • 76. 64% of technology executives plan to deploy agentic AI within the next 24 months (2026-2027).
  • 77. 40% of enterprise applications will feature task-specific AI agents by the end of 2026, up from less than 5% in 2025. Gartner expects agents to develop from single-task helpers into systems that coordinate work across several applications.
  • 78. 62% of organizations are experimenting with AI agents, yet only 23% are scaling them in at least one business function. In no single function does the share of companies running agents at scale exceed about 10%.

 

Agentic AI Spending and Investment

  • 79. Agentic AI is forecast to account for more than 26% of worldwide IT spending and reach $1.3 trillion by 2029. Overall AI spending grows 31.9% a year over the same period.
  • 80. Enterprises will more than double their spending on generative AI models and AI agents in 2026. The segment grows from $15.49 billion in 2025 to $32.60 billion in 2026.
  • 81. AI infrastructure spending is forecast to reach $497 billion in 2026, up from $318 billion in 2025 and $153 billion in 2024. It is expected to pass $1 trillion by 2029.

 

Agentic AI Challenges and Governance

  • 82. More than 40% of agentic AI projects will be canceled by the end of 2027. The main reasons are escalating costs and unclear business value, often without adequate risk controls in place.
  • 83. Only 21% of enterprises have mature governance for agentic AI. By 2027, 74% expect moderate or greater use of AI agents. Within that group, 23% expect extensive use and 5% expect full integration.
  • 84. Nearly two-thirds of organizations name security and risk as the top barrier to scaling agentic AI. Responsible AI maturity has risen to 2.3 out of 5, up from 2.0 the year before, and only about 30% of organizations reach level 3 or above.
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Digital Transformation Statistics on Customer Relations

Discover how digital transformation is reshaping interactions with clients. Learn about the integration of AI and how many businesses are creating comprehensive digital customer journeys to enhance the overall experience.

  • 85. 48.8% of customers prefer interacting with a human over an AI bot for customer support, while only 12% are fully comfortable with chatbots. Also, 1 in 4 customers use both depending on the situation, and 7.2% prefer a mix of both human and AI support.
  • 86. 37% of companies have mapped a unified digital customer journey and are actively using it to enhance customer experience.
    This strategy implies that employees from different departments – marketing, sales, customer service, etc., - track every online interaction, from the awareness to the post-purchase stages. Then, the teams use all the data to create personalized messages, experiences, and even products.
  • 87. 61% of organizations are increasing digital transformation funding for customer relationship management in 2026, with a mean percent change of +16%.

Digital Transformation by Industry

From the surge in digital investments across technology and media to the industrial sector falling behind, each industry has a unique transformation story. Read more to understand the state of digital transformation in different sectors.

  • 88. Technology, media, and telecommunications companies are significantly investing in digital initiatives. Precisely, they allocated an average of 22.5% of their revenue to digital initiatives in 2025, the highest share among all sectors.
  • 89. The energy, resources, and industrial sector remains one of the least digitalized industries. These companies had only 4.6% of their revenue allocated to digital transformation in 2025.

digital transformation statistics budgets by industry

  • 90. In 2023, financial services companies spent $35 billion on artificial intelligence, and projected investments in banking, insurance, capital markets, and payment systems are expected to reach $97 billion by 2027.
  • 91. Current AI adoption in the healthcare industry ranges from 10% to 30% in 2025 but is forecast to rise to 30% to 45% by 2030.
  • 92. At the beginning of 2023, 42% of manufacturers reported that they did not have a digital transformation strategy.
  • 93. 81% of U.S. middle-market banks (with USD 250 million to USD 39.9 billion in assets) have already had a digital strategy in 2022.
    Half of them dedicated 11% to 20% of their revenues to DX initiatives, and 12% budgeted from 21% to 30%.
  • 94. By 2030, the online education market is estimated to reach $880.17 billion.
  • 95. According to Gartner, by the end of 2025, over 75% of global telecom companies will have fully implemented digital platforms to support operational and customer-facing processes. The adoption of 5G technology alone is set to generate $13.2 trillion in global economic value by 2035, with telecom operators playing a crucial role in enabling this growth.

    A significant driver of this digital shift is the adoption of eSIM technology. eSIM providers like Saily eSIM exemplify this trend by offering solutions that allow users to switch carriers without the need for physical SIM cards, enhancing convenience and supporting the rising demand for connected devices. As of 2023, the global eSIM market is projected to reach $978.3 million. This technology not only simplifies the user experience but also reduces operational costs for telecom companies, further accelerating the digital transformation journey.

  • 96. In 2025, the Digital Fitness & Well-Being market’s revenue reached $16.51 billion. From 2025 to 2030, it is expected to show an annual growth rate (CAGR) of 4.58% with a volume of $20.65 billion.
  • 97. In Europe, banking is the largest vertical for AI spending at 12.5% of the market in 2026, followed by software and information services, then retail. Healthcare providers are the fastest-growing vertical at 39.7%.

Digital Transformation and the COVID-19 Pandemic

COVID-19 has accelerated the pace of digital transformation globally. Read the section below to discover how businesses have adapted their strategies to these changes.

  • 98. Prior to the pandemic, 23% of companies were entirely non-digital, as specified by HBR.
  • 99. 97% of businesses reported accelerated DX initiatives due to COVID-19. According to Twilio’s digital transformation statistics, the pandemic has accelerated companies’ progress by an average of 6 years.
  • 100. Due to the pandemic’s consequences, global digital transformation expenditure in logistics is projected to reach $84.6 billion by 2027.

Key Takeaways from Digital Transformation Statistics

The digital transformation market continues to grow, with AI, machine learning, and cloud computing positioned as foundational technologies. Current organizational adoption patterns reveal widespread commitment to DX initiatives, though success rates remain modest relative to investment levels.

Agentic AI is the defining DX trend of 2026. Companies are moving from generative AI pilots toward software agents that carry out multi-step work, and spending is following: worldwide AI investment reaches $2.59 trillion this year. The gap between adoption and results is the story to watch, as 62% of organizations experiment with agents while 23% run them at scale.

Organizations encounter persistent obstacles including budget constraints, legacy system complexity, and cultural resistance to change. Despite these challenges, documented benefits justify continued investment. Enhanced productivity, superior customer experiences, and improved operational efficiency drive organizational momentum toward comprehensive digital transformation adoption.

The convergence of technological capability and competitive pressure creates urgency for transformation. Organizations delaying investment face increasing disadvantage relative to digitally mature competitors. Strategic alignment and clear success metrics emerge as critical success factors for transformation initiatives.

Are you interested in taking a step toward DX after reading this article? Contact our team at DOIT Software to find the best tech specialists who will accompany you on this journey!

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Why companies must embrace digital transformation now?

Businesses must embrace digital transformation (DX) for several compelling reasons. Firstly, consumers expect a seamless digital experience in today’s market. Companies need to meet these needs or risk losing customers to competitors who do. Secondly, DX helps organizations streamline operations, reduce costs, and increase efficiency. Next, company digitalization supports the management of remote teams and ensures productivity. Lastly, with cyber threats on the rise, DX can accelerate security through advanced protocols and infrastructure.

Why does 70% of digital transformation fail?

The digital transformation failure rate ranged from 70% to 95% in 2022 research, primarily due to limited budgets and cultural resistance to change. Additionally, organizations often encounter difficulties in replacing legacy systems, dealing with IT infrastructure complexities, and addressing skill shortages. The failure to align digital strategies with overall business objectives, insufficient stakeholder engagement, and a lack of clear metrics for success also contribute to unsuccessful digital transformation projects.

More recent research points in the same direction: 95% of generative AI pilots deliver no measurable return on the profit and loss statement.

How many companies succeed in digital transformation?

Digital transformation statistics show that only 35% of businesses have already achieved or going towards reaching digitalization goals. Newer figures on AI specifically are lower still, with about 5% of organizations achieving substantial financial gains.

What are the biggest digital transformation trends in 2026?

Agentic AI leads the digital transformation trends for 2026, with 40% of enterprise applications expected to carry task-specific AI agents by the end of the year. Spending follows the same direction, as worldwide AI investment reaches $2.59 trillion and public cloud services pass $1 trillion.

Governance and skills are the other two trends to watch. Only 21% of enterprises have mature governance for AI agents, and 29% of employees will need reskilling between 2026 and 2028.

Alex CSO
ALEXANDER PASTUKH,
CSO @ DOIT SOFTWARE
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