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The German ICT market will grow to \u20ac245.1 billion in 2026. AI platforms are exploding by 61 percent. Cloud software is up 16 percent. And yet, IT budgets are shrinking at 24 percent of companies. A paradox emerges for CIOs: Technology has never been more powerful – and budgets have rarely been tighter. How German IT leaders resolve this contradiction – and why their investment decisions shape Germany\u2019s economic future.<\/strong><\/p>\n The DSAG Investment Report 2026<\/a> reveals a split: At 38 percent of DACH companies, total IT budgets are rising – down from 43 percent two years ago. Meanwhile, budgets are falling at 24 percent of companies, up from 18 percent two years ago. The gap is widening. Some invest more than ever; others cut back.<\/p>\n For CIOs, this means: Linear budget growth is over. According to Gartner, 57 percent of CIOs face pressure to boost productivity – and 52 percent must cut costs at the same time<\/em>. Yet 87 percent plan to increase their AI budgets. This contradiction resolves only when CIOs finance innovation not with new money, but with savings from legacy operations.<\/p>\n This isn\u2019t uniquely German – but the stakes are higher here, because the starting point is tougher. German companies historically invested more in hardware and on-premises infrastructure than U.S. conglomerates. Legacy debt is heavier, cloud migration lags further behind, and transformation deficits run deeper. Being a CIO in Germany means modernizing and<\/em> cutting costs – simultaneously. That demands a different kind of leadership than at a cloud-native U.S. startup.<\/p>\n The Bitkom figures set the direction: Of the \u20ac245.1 billion, \u20ac170 billion goes to information technology (up 5.8 percent) and \u20ac75.1 billion to telecommunications (up 1.2 percent). Within IT, three segments drive growth.<\/p>\n Software:<\/strong> \u20ac58.3 billion, up 10.2 percent. Cloud software for public clouds alone reaches \u20ac38.3 billion – a 16.4 percent increase. This is the strongest evidence that cloud migration is gaining momentum in Germany, even if it lags behind the U.S. or Scandinavia.<\/p>\n AI Platforms:<\/strong> \u20ac4.1 billion, up 61 percent – following 62 percent growth last year. This is the most dynamic segment and also where the \u201cRun vs. Transform\u201d tension is most acute. AI investments require new infrastructure (GPU clusters, MLOps platforms) and new skills (prompt engineering, model governance) – both demanding funds that must be sourced elsewhere.<\/p>\n Infrastructure:<\/strong> Investment in telecom infrastructure rises 4.6 percent to \u20ac8.5 billion. While this affects CIO budgets less directly, it underpins everything else: cloud migration, edge architectures, and data-driven production all depend on network quality.<\/p>\n According to the KPMG Global Tech Report, 84 percent of companies worldwide are investing more in AI. 68 percent aim to reach the highest AI maturity level by end-2026. But only 24 percent are there. The gap between ambition and reality is the central challenge for CIOs.<\/p>\n Allianz: From Digital-first to AI-first.<\/strong> Under the leadership of Axel Schell (CTO and Transformation), Allianz completed its mainframe migration and now saves a double-digit million-euro sum annually. That freed-up capital flows into an \u201cAI-first Execution Model\u201d: Rather than implementing digital projects incrementally, Allianz uses AI to dramatically accelerate the translation of business requirements into technical specifications. CEO Oliver B\u00e4te emphasizes that AI shortens the parallel legacy\/new-system phases. For the CIO, this means: Savings from yesterday fund innovation tomorrow – without new budget.<\/p>\n Savings from yesterday fund innovation tomorrow – without new budget.<\/p>\n Allianz model: Redirect mainframe savings into AI investments<\/p>\n<\/div>\n Deutsche Telekom: AI Infrastructure as a Platform.<\/strong> Deutsche Telekom is investing around \u20ac1 billion in AI infrastructure – including 10,000 GPUs<\/a> in collaboration with NVIDIA for Europe\u2019s first sovereign Industrial AI Cloud. Claudia Nemat, until October 2025 Board Member for Technology and Innovation, positioned Telekom as an \u201cAI company\u201d focused on AI agents rather than building its own large language models. Her successor Abdu Mudesir continues this course. For the CIO context, this means: Telekom\u2019s investment lowers the entry barrier for other companies. Those who don\u2019t want to build GPU capacity themselves can procure it as a service.<\/p>\n SAP: Innovation Through Product Strategy.<\/strong> Thomas Saueressig, Chief Customer Officer since March 2026, continues the path he began as CTO: RISE with SAP delivers up to 30 percent cost savings for customers while simultaneously modernizing their systems. For CIOs managing SAP landscapes, this is the most elegant way out of the Run-Transform dilemma: Cloud migration reduces operational costs and<\/em> modernizes core processes at the same time – no separate innovation budget required.<\/p>\n According to the FinOps Foundation and DataStackHub, 28-35 percent of cloud spending goes toward idle resources and overprovisioned instances. For a \u20ac5 million annual cloud budget, that\u2019s \u20ac1.4-\u20ac1.75 million wasted each year. Structured FinOps discipline cuts that waste by 25-30 percent.<\/p>\n For cost-pressed CIOs, this is the most attractive funding source for innovation: The money is already in the budget – it\u2019s just being spent poorly. Taking FinOps seriously – not treating it as an Excel exercise – enables significant reallocation without ever needing to knock on the CFO\u2019s door.<\/p>\n McKinsey\u2019s Global Tech Agenda 2026 confirms: 50 percent of surveyed companies plan IT budget increases above 4 percent. But among top performers – the top 25 percent by digital maturity – 28 percent plan hikes above 10 percent. Digital leaders aren\u2019t investing less – they\u2019re investing smarter. They fund transformation from<\/em> transformation itself.<\/p>\n The optimistic view – \u201cfund innovation from savings\u201d – has limits. Not every company can afford Allianz\u2019s mainframe exit. Not every CIO enjoys board-level backing for a RISE-with-SAP migration. And FinOps presumes meaningful cloud spend exists – which many mid-sized firms, anchored in on-premises systems, simply don\u2019t have.<\/p>\n The DSAG Report<\/span> shows the other side: At 24 percent of companies, IT budgets are shrinking. These CIOs can\u2019t \u201cinvest smarter.\u201d They\u2019re fighting to preserve the status quo. For them, the question isn\u2019t \u201cRun or Transform?\u201d – it\u2019s \u201cWhich systems can we still afford?\u201d<\/p>\n KPMG finds that 53 percent of companies lack talent for digital transformation. That\u2019s a more fundamental problem than budgets: Even if money were available, the people to spend it wisely are missing. With 137,000 open IT positions in Germany (Bitkom), this has become a strategic threat.<\/p>\n 1. Application Modernization as a Savings Model.<\/strong> Per Gartner, 71 percent of CIOs name application modernization a top priority – not because it\u2019s trendy, but because outdated applications drive the highest operational costs. Every legacy app migrated to the cloud – or decommissioned – frees up operating expenses.<\/p>\n 2. Make FinOps an Architectural Principle, Not Just CFO Reporting.<\/strong> FinOps must be more than a monthly report. It must be baked into cloud architecture: auto-scaling, reserved instances, spot pricing, and automated resource shutdown. Automation<\/a> of cost optimization delivers more savings than any manual review.<\/p>\n 3. Focus AI Investments on Measurable Use Cases.<\/strong> Per KPMG, 74 percent say AI delivers business value – but only 24 percent achieve ROI across multiple use cases. The mistake? Investing too broadly instead of targeting precisely. Three use cases with proven ROI beat ten proof-of-concepts stuck in pilot limbo.<\/p>\n 4. Managed Services Over In-House Infrastructure.<\/strong> Deutsche Telekom, SAP, and Siemens increasingly offer AI infrastructure and security services as managed offerings. For CIOs with constrained budgets and lean teams, this is how to access enterprise-grade capabilities – without enterprise-scale investment. \u201cBuild vs. Buy\u201d is no longer ideological in 2026 – it\u2019s arithmetic.<\/p>\n In 2026, German CIOs confront a paradox they can solve only through discipline. The ICT market grows to \u20ac245.1 billion. AI explodes by 61 percent. Yet one-quarter of companies slash IT budgets. Winners will be those CIOs who generate savings from legacy operations – and redirect them into AI and cloud – without waiting for new budget approvals<\/em>. Allianz demonstrates this via its mainframe exit; SAP, with RISE; and Deutsche Telekom, with its AI cloud-as-a-service. For Germany\u2019s economic position, this is decisive: If CIOs master the balancing act, the \u20ac735 billion of the Made-for-Germany initiative<\/a> flows into productive infrastructure. If not, those billions remain PowerPoint promises on executive slides.<\/p>\n The rule of thumb is 50\/50 (Run vs. Transform), but many legacy-heavy enterprises struggle with 80\/20. A realistic entry point for mid-sized firms: 70\/30 – with a three-year goal of reaching 60\/40. FinOps and application modernization finance that shift.<\/p>\n<\/details>\n Industry data shows the AI\/ML share rose from 2.1 percent (2022) to 8.4 percent (2025), and is projected to reach ~13 percent by 2027. GenAI model spending alone grows over 80 percent in 2026. Absolute sums depend on total budget size – but below 5 percent AI allocation is subpar in 2026.<\/p>\n<\/details>\n 28-35 percent of cloud spend is typically wasteful (idle, overprovisioned). Structured FinOps discipline reduces that by 25-30 percent. On a \u20ac5 million cloud budget, that\u2019s \u20ac350,000-\u20ac525,000 annually – reallocated to innovation.<\/p>\n<\/details>\n Per McKinsey, 28 percent of top performers invest over 10 percent more in IT than last year. Roughly one-third prioritize tech-led business model innovation – not just efficiency. The difference? Top performers treat IT not as a cost center, but as a revenue lever.<\/p>\n<\/details>\n Both. The CIO brings technical feasibility; the CEO, strategic relevance. Per KPMG, companies with board-level AI governance achieve higher AI ROI. AI investments without board involvement stay as proof-of-concepts. AI investments without CIO expertise become misinvestments.<\/p>\n<\/details>\n Board Governance: Digital Competence in the Supervisory Board<\/span> (Digital Chiefs)<\/p>\n Made for Germany: \u20ac735 Billion in Location-Based Investment<\/a> (Digital Chiefs)<\/p>\n Reboot Germany: \u20ac735 Billion and the Mid-Sized Sector<\/a> (MyBusinessFuture)<\/p>\nTL;DR<\/h2>\n
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The Paradox: More Technology, Less Budget<\/strong><\/h2>\n
Where the \u20ac245.1 Billion Really Goes<\/strong><\/h2>\n
Three CIOs Mastering the Balancing Act<\/strong><\/h2>\n
FinOps: Innovation Funding Already Embedded in Your Budget<\/strong><\/h2>\n
The Counterpoint: When Cost Pressure Becomes an Innovation Brake<\/strong><\/h2>\n
Four Strategies for CIOs Under Cost Pressure<\/strong><\/h2>\n
Conclusion<\/strong><\/h2>\n
Frequently Asked Questions<\/strong><\/h2>\n
What percentage of the IT budget should go to innovation?<\/strong><\/summary>\n
What\u2019s the typical AI share of the IT budget?<\/strong><\/summary>\n
How much cloud waste can FinOps realistically eliminate?<\/strong><\/summary>\n
What sets top performers apart?<\/strong><\/summary>\n
Should the CIO or CEO decide on AI investments?<\/strong><\/summary>\n
Further Reading<\/strong><\/h2>\n