Leadership Decides on Digitalization: What German Manufacturers Can Learn from Vietnam

Germany ranks 14th out of 27 EU member states in overall digitalization, according to Bitkom 2025. 78% of German businesses recognize digitalization as critical. Only 32% have implemented a comprehensive digital strategy. That 46-point gap between recognition and execution is not a technology problem. It is a leadership problem.

Vietnam's digital economy reached USD 72.1 billion in 2025, approximately 14% of GDP, and has been the fastest-growing digital economy in Southeast Asia for three consecutive years. Its Industry 4.0 market is growing at 25.7% CAGR. 60% of Vietnamese enterprises are adopting IoT and AI technologies, according to Vietnam's Ministry of Information and Communications.

Vietnam did not get there by having better technology access than Germany. It got there by making faster leadership decisions.

This post is not about praising Vietnam and criticizing Germany. It is about identifying what the speed difference looks like in practice, and what German manufacturing leadership can take from it.

Why Is Leadership the Deciding Factor in Manufacturing Digitalization?

The data is consistent across every major study. Only 30% of digital transformations meet their objectives. Companies that get leadership engagement right, specifically, active CEO commitment and cross-functional ownership, flip that success rate from 30% to 80%, according to McKinsey's research on digital transformation outcomes.

BCG's 2024 analysis of manufacturing digitalization puts the breakdown even more directly: 70% of transformation effort must go to people and business change, 20% to data and technology, and 10% to algorithms. Technology is the smallest component. Leadership and change management are the largest.

Yet in the average DACH manufacturer, the investment allocation runs in the opposite direction. Procurement committees evaluate software platforms for months. Architecture decisions pass through multiple approval layers. Pilots run for 12-18 months before a scaling decision is made. By the time the organization is ready to act, the market has moved.

What Is Germany Actually Doing, and Where Is It Falling Behind?

Germany's position in robotics and advanced manufacturing remains strong. At 429 robots per 10,000 manufacturing employees, Germany ranks 4th globally in robot density, according to the IFR World Robotics 2024 report. The engineering base is not the problem.

The problem is decision velocity.

Bitkom's 2025 index places Germany 14th in the EU on overall digitalization, behind Malta, Slovenia, and Estonia. On digital public administration, Germany ranks 21st. 41% of German companies now use AI in some form. Only 6% generate real business value from it, according to Bitkom and IW Köln research.

The pattern is consistent: Germany invests, deploys partially, and does not scale. The bottleneck is not in the technology layer. It is in the organizational and leadership layer, specifically, who owns the outcome, who has the authority to make the scaling decision, and how quickly that decision gets made.

What Is Vietnam Doing Differently?

Vietnam's approach to manufacturing digitalization has three characteristics that are structurally different from the German Mittelstand default.

Government acts as initiator, not observer

Between 2022 and 2024, Vietnam's Ministry of Industry and Trade ran a joint smart factory program with Samsung Vietnam that provided direct consulting to 72 enterprises and trained 122 professionals in smart factory implementation. Decision 667/QĐ-TTg (2024) formally designated smart manufacturing, AI-driven automation, and semiconductors as national priority sectors, meaning policy, funding, and enterprise support are aligned to a single direction.

German industrial policy has produced excellent frameworks, Industry 4.0 was a German concept, but the translation from framework to factory-floor decision has relied on individual company leadership rather than active government-led implementation support.

Speed-to-scale is treated as a leadership KPI, not a risk to be managed

Vietnam's pilot-to-scale cycle in manufacturing automation is structurally faster. Over 500 newly automated facilities were established in Ho Chi Minh City, Binh Duong, and Da Nang industrial zones in two years. The framing from Vietnam's investment authorities in 2026 is no longer whether to automate, it is how to implement automation strategically across the system.

In German manufacturing, the equivalent question, how do we scale, is still secondary to which platform to select, which partner to trust, and which risks to mitigate. Risk management is not wrong. Risk management as a reason not to decide is a competitive disadvantage.

Leadership ownership is explicit and visible

McKinsey's research identifies active CEO commitment as the single variable most correlated with transformation success. In Vietnam's manufacturing sector, digitalization decisions, particularly at the plant level, are made by owners and founders, not by committee. Decision cycles are shorter because accountability is concentrated. The result is faster deployment and faster iteration.

German Mittelstand companies often have the same ownership structure, family-owned, founder-led. The leadership advantage is available. The question is whether it is being used.

What Should German Manufacturing Leadership Take From This?

Three specific changes in leadership behavior produce the largest impact on digitalization outcomes.

Own the outcome, not just the oversight

A digital transformation led by the IT department and reported to the board is structurally less likely to succeed than one owned by the CEO or COO. McKinsey's research found that organizations that appoint a Chief Digital Officer are 1.6x more likely to report a successful transformation. The mechanism is not the title, it is the authority to make decisions across both OT and IT without escalation loops.

Set a scaling decision deadline before the pilot starts

The most common failure mode in manufacturing digitalization is the indefinite pilot, a proof of concept that produces positive results and then stalls at the boundary between pilot and production. Before the pilot begins, define the conditions under which a scaling decision will be made and the date by which that decision must happen. Vietnam's MOIT/Samsung program worked because the government set those conditions externally. German manufacturers need to set them internally.

Treat decision speed as a competitive metric

Asia accounted for 74% of all new industrial robot deployments globally in 2024, according to the IFR World Robotics 2024 report. Europe's share was 16%. The gap is not explained by technology access or capital availability, it is explained by the speed at which leadership decisions move from intent to commitment to deployment.

Decision speed is not recklessness. It is the difference between a manufacturer that reaches full production automation in 18 months and one that is still in the pilot phase three years later, having spent the same budget on evaluation that its competitor spent on deployment.

FAQ

What can German manufacturers learn from Vietnam's approach to digitalization?

Three things: government-led pilot-to-scale programs accelerate what individual company decision-making delays; speed-to-scale treated as a leadership KPI produces faster deployment than risk management treated as a primary filter; and concentrated leadership ownership, CEO or COO accountability for transformation outcomes, is the single variable most correlated with success, according to McKinsey's research.

Why do digital transformations fail in German manufacturing?

78% of German businesses recognize digitalization as critical, but only 32% have implemented a comprehensive digital strategy (Bitkom 2025). The gap is a leadership execution problem, not a technology awareness problem. BCG's 2024 analysis found that 70% of manufacturing transformation effort must go to people and business change, but most DACH manufacturers invert that ratio, investing primarily in platform selection and infrastructure.

Is Germany falling behind Vietnam in manufacturing digitalization?

Germany retains a significant lead in robot density (429 per 10,000 employees, ranked 4th globally) and engineering depth. Vietnam's advantage is decision velocity, the speed from pilot to production scale, and government-aligned industrial policy. The risk for German manufacturers is not losing their current position; it is failing to extend it at the rate that Vietnam and the broader Asian manufacturing base are moving.

What is the leadership gap in German manufacturing?

Only 6% of German companies that use AI generate real business value from it (Bitkom/IW Köln 2026). The deployment rate is rising; the value realization rate is not. That gap, between technology adoption and business outcome, is a leadership gap: insufficient ownership of the transformation by senior leadership, insufficient authority to make scaling decisions, and insufficient speed in the decision cycle.

How does change management affect manufacturing digitalization?

BCG's 70/20/10 rule states that 70% of manufacturing digitalization effort must go to people and business transformation, 20% to data and technology, and 10% to algorithms. Change management is not a supporting activity, it is the majority of the work. Organizations that invest in leadership engagement and change management alongside technology deployment achieve 80% transformation success rates, compared to 30% for those that do not, according to McKinsey's research.