The Reinvention Imperative … Why every industry is being rebuilt, and why transformation is now a permanent state of leadership … inspired by Apple and Microsoft, to BYD and DBS, to Siemens and Xiaomi

April 7, 2026

The language of transformation has grown tired. For more than a decade, executives have spoken of “digital transformation” with a kind of ritualistic confidence, as though the destination were known and the journey largely technical. Platforms, data, cloud … these have become the familiar vocabulary of progress. And yet, across industries, the deeper reality is far more unsettled.

We are not simply living through a phase of digitisation. We are witnessing the reinvention of entire industries—their economics, their boundaries, their sources of value. In such a world, transformation is not a programme to be completed, but a permanent condition of leadership.

Take some of most instructive companies of our time, like Apple and Microsoft, and others who might seem more niche, like Siemens, Schneider Electric, and John Deere. They have not merely “gone digital”, they have redefined what they are, repeatedly, in response to shifting technological and economic landscapes.

Their experiences offer a more useful frame: transformation as continuous reinvention across six interlocking dimensions—value proposition, product architecture, revenue model, data and technology, organisation, and ecosystem.

What follows is not a story about platforms alone. It is about how businesses learn to evolve when the ground beneath them refuses to stand still.

The end of stable industries

For much of the twentieth century, industries were relatively stable constructs. A company’s position was defined by its assets, its distribution, and its brand. Change came, but it came in cycles—new competitors, new geographies, incremental innovation.

That world has disappeared.

Digital technologies have done more than introduce new tools; they have collapsed the boundaries between industries. A technology firm can become a media company. A manufacturer can become a software provider. A tractor can become a data platform. Value migrates—often rapidly—from physical products to the layers of software, services, and data that surround them.

Consider Apple. In 2007, with the launch of the iPhone, it was already a successful hardware company. By 2023, its services business alone generated over $85 billion in annual revenue, with gross margins significantly higher than its devices. The device had become merely the entry point into a broader economic system.

Or take Microsoft. In 2014, when Satya Nadella became Chief Executive, the company’s future was uncertain. Its core Windows franchise was under pressure, and it had missed key shifts in mobile. A decade later, Microsoft is one of the most valuable companies in the world, driven largely by Azure, its cloud platform, which has grown into a business with annual revenues exceeding $60 billion.

These are not stories of incremental change. They are examples of industrial reinvention.

Beyond platforms: the deeper structure of transformation

It is tempting to describe these shifts simply as “platform strategies”. But that risks misunderstanding what is actually happening.

Platforms are not the cause of transformation; they are the expression of deeper changes:

A shift in value proposition—from products to outcomes
A redefinition of the product itself—from standalone object to connected system
A transformation of the revenue model—from transaction to relationship
The elevation of data and software as core assets
A reinvention of the organisation and culture
The creation of ecosystems that extend beyond the firm

These dimensions reinforce one another. Change in one without the others rarely succeeds.

1. Value: from products to outcomes

The most fundamental shift is in what companies believe they are selling.

Historically, Siemens sold equipment—turbines, trains, industrial systems. Today, it increasingly positions itself as a provider of digital industrial solutions, enabling customers to optimise performance, reduce downtime, and simulate operations through digital twins. Its Xcelerator platform, formally launched in 2022, is designed to integrate hardware, software, and services into a coherent offering.

Similarly, Schneider Electric has moved from electrical components to a proposition centred on energy efficiency and sustainability outcomes. Its EcoStruxure architecture connects devices, edge control systems, and cloud analytics to help customers manage energy consumption across buildings, factories, and infrastructure.

In agriculture, John Deere has reframed its purpose around yield optimisation. The tractor is no longer the product; it is part of a system that includes sensors, satellite data, and machine learning models that guide planting, fertilisation, and harvesting.

Even Apple, often seen as a hardware company, has shifted towards a value proposition of integrated digital experience—a seamless environment across devices, services, and applications.

The lesson is clear: transformation begins not with technology, but with a redefinition of value.

2. Product: from object to system

Once value shifts, the nature of the product must follow.

In the traditional model, products (and services) were discrete, self-contained, and largely static once sold. In the new model, they are dynamic, connected, and continuously evolving.

The iPhone is perhaps the most visible example. It is not simply a device; it is a node within an ecosystem governed by iOS, updated regularly, and extended by millions of third-party applications through the App Store.

Microsoft’s transformation reflects a similar shift. Windows, once the centre of gravity, has become just one component within a broader system anchored by Azure. Software is no longer delivered as a fixed product but as a continuously updated service.

In industrial contexts, this shift is even more profound. Siemens’ digital twin technology allows physical assets to be mirrored in software, enabling simulation and optimisation throughout their lifecycle. Schneider Electric’s EcoStruxure connects sensors, controllers, and analytics into a unified system.

John Deere’s equipment now generates vast amounts of data, feeding into its Operations Center platform. Farmers can monitor fields, analyse performance, and make decisions in real time.

In each case, the “product” has become a platform for ongoing interaction and improvement.

3. Revenue: from transaction to relationship

Perhaps the most consequential change—though often the least discussed—is in how companies make money.

Traditional businesses rely on transactions: a product is sold, revenue is recognised, and the relationship largely ends. In the emerging model, revenue is increasingly recurring, usage-based, or tied to outcomes.

Microsoft’s shift from perpetual software licences to subscription-based services such as Microsoft 365 and Azure is the clearest example. This transition, initiated in the early 2010s and accelerated under Nadella, fundamentally altered the company’s financial profile—smoothing revenue, increasing predictability, and expanding margins.

Apple has followed a similar path. Its services segment—including the App Store, Apple Music, iCloud, and Apple Pay—has grown steadily, contributing a significant and highly profitable portion of overall revenue.

Industrial companies have moved more cautiously, but the direction is consistent. Siemens and Schneider Electric now derive increasing portions of their income from software, services, and long-term contracts. John Deere has begun to layer subscription services onto its equipment, offering data-driven insights and automation capabilities.

The shift is not merely financial. It reflects a deeper change: from selling products to managing ongoing relationships with customers.

4. Data and technology: from support function to core asset

In the traditional enterprise, technology was a support function—important, but secondary to the core business. Today, it is often the primary driver of value.

Microsoft’s transformation into a cloud-first, AI-driven company is emblematic. Azure provides the infrastructure on which countless businesses run their operations, while its investments in artificial intelligence—accelerated through partnerships and acquisitions—position it at the forefront of the next technological wave.

Apple’s integration of hardware, software, and custom silicon illustrates a different approach: control and optimisation across the entire stack. Its M-series chips, introduced in 2020, have significantly improved performance and efficiency, reinforcing the advantages of vertical integration.

Siemens and Schneider Electric have embraced IoT, analytics, and digital twins, embedding intelligence into physical systems. John Deere’s use of machine learning to guide agricultural decisions demonstrates how data can transform even the most traditional industries.

The common thread is that data and software are no longer adjuncts; they are central to the product, the service, and the business model.

5. Organisation: from hierarchy to adaptability

None of these shifts are possible without corresponding changes in how companies are organised.

Transformation places enormous strain on traditional structures. Hierarchical, siloed organisations struggle to move at the pace required by software-driven environments.

Microsoft’s cultural transformation under Nadella is widely cited. Moving away from internal competition towards a “growth mindset”, the company fostered collaboration, learning, and openness—conditions necessary for its strategic pivot.

Industrial firms face a different challenge: integrating software capabilities into organisations historically dominated by engineering and manufacturing. Siemens has restructured around digital industries and software units. Schneider Electric has invested heavily in digital talent and capabilities.

John Deere has had to bridge the gap between mechanical engineering and data science, building new competencies while preserving its core strengths.

The lesson is that transformation is as much about people and culture as it is about strategy and technology.

6. Ecosystems: from company to network

Finally, the most advanced transformations extend beyond the boundaries of the firm itself.

Platforms, in their fullest sense, are not just internal architectures; they are ecosystems that enable others to create value.

Microsoft’s Azure supports millions of developers and partners worldwide. Apple’s App Store has enabled an entire economy of application developers, generating billions in revenue.

Siemens and Schneider Electric are building ecosystems of partners, integrators, and developers around their platforms. John Deere is beginning to connect farmers, agronomists, and technology providers.

Ecosystems amplify value. They also introduce complexity—questions of governance, control, and openness that each company must resolve.

Transformation as a permanent condition

What emerges from these cases is not a single model, but a pattern.

Transformation is not a project with a defined end. It is an ongoing process of adaptation, driven by continuous changes in technology, competition, and customer expectations.

The companies that succeed are those that:

Redefine their value proposition around outcomes
Reimagine their products as evolving systems
Shift their revenue models towards relationships
Treat data and software as core assets
Reinvent their organisations to enable speed and learning
Build ecosystems that extend their reach

This is demanding work. It requires sustained leadership, significant investment, and a willingness to challenge deeply held assumptions.

It also requires humility. No company, however successful, is immune to disruption. The very forces that enabled Microsoft’s resurgence or Apple’s expansion could, in time, reshape them again.

The transformational challenge for today’s leaders

For business leaders, the implication is clear.

Transformation cannot be delegated to a “digital team” or confined to a set of initiatives. It must be understood as a central, continuous responsibility.

The question is not whether to transform, but how to build an organisation capable of ongoing reinvention.

That means making choices—about platforms, about ecosystems, about the balance between control and openness. It means investing not only in technology, but in people, culture, and partnerships. And it means accepting that the destination will continue to move.

Platforms may have been the language of the last decade. The reality of the next is more demanding.

We are entering an era in which every company must become, in some sense, a technology company—not by abandoning its heritage, but by reinterpreting it.

The tractor becomes a data platform. The turbine becomes a digital twin. The device becomes an ecosystem. The software becomes a service.

And the organisation itself becomes something new: not a fixed structure, but a system capable of continuous change.

That is the true meaning of transformation today.

Appendix: Case studies of transformational companies

1. Apple

Change Drivers: Digital media disruption, smartphone adoption, ecosystem competition.
Value Proposition Shift: Personal computers → seamless ecosystem of devices + services.
Strategy Shift: Vertical integration, ecosystem lock-in, recurring services focus.
Business Model Shift: Device sales → hardware + software + subscription services.
Enabling Technology Shift: iOS, App Store, proprietary silicon, cloud infrastructure.
Enabling Organisation Shift: Integrated product teams with hardware-software alignment.
Value Creation Shift: Higher margins, ecosystem lock-in, network effects, recurring revenue.

2. BYD

Change Drivers: EV adoption, government incentives, battery supply constraints.
Value Proposition Shift: Battery supplier → affordable, reliable EVs + energy storage.
Strategy Shift: Cost leadership, vertical integration, rapid global expansion.
Business Model Shift: Component supply → full EV + energy ecosystem.
Enabling Technology Shift: Advanced battery tech, power electronics, modular EV platforms.
Enabling Organisation Shift: Integrated R&D + manufacturing teams.
Value Creation Shift: Capturing margins across vehicles and energy segments.

3. DBS Bank

Change Drivers: Fintech disruption, customer expectations, digital banking competition.
Value Proposition Shift: Branch banking → seamless digital financial services and platforms.
Strategy Shift: Customer-first, agile, cloud-native transformation.
Business Model Shift: Branch-dependent → digital product and platform monetization.
Enabling Technology Shift: Cloud computing, microservices, data analytics.
Enabling Organisation Shift: Agile teams, innovation hubs, cultural transformation.
Value Creation Shift: Lower costs, faster growth, improved customer retention.

4. Hermès

Change Drivers: Digital commerce rise, luxury sustainability trends.
Value Proposition Shift: Exclusivity + artisanal quality → integrated digital/experiential channels.
Strategy Shift: Controlled distribution, storytelling, selective digitalization.
Business Model Shift: High-margin products → augmented by premium services.
Enabling Technology Shift: Digital retail, CRM analytics, e-commerce tools.
Enabling Organisation Shift: Blend of tradition with modern retail execution.
Value Creation Shift: Price premium, brand prestige, exclusivity retention.

5. John Deere

Change Drivers: Agricultural productivity needs, IoT, precision farming.
Value Proposition Shift: Tractors → precision agriculture solutions + data insights.
Strategy Shift: Solution-oriented, data-driven agricultural offerings.
Business Model Shift: Product sales → subscriptions and predictive maintenance services.
Enabling Technology Shift: Telematics, IoT sensors, AI analytics.
Enabling Organisation Shift: Creation of software + analytics teams.
Value Creation Shift: Recurring revenues, long-term client relationships.

6. Lego

Change Drivers: Digital entertainment competition, declining toy sales.
Value Proposition Shift: Physical bricks → brand-driven digital experiences (games, apps, films).
Strategy Shift: Co-creation, franchise partnerships, digital engagement.
Business Model Shift: Toy sales → diversified revenue including media + digital platforms.
Enabling Technology Shift: Digital platforms, gaming, online communities.
Enabling Organisation Shift: Cross-functional creative + digital teams.
Value Creation Shift: New revenue streams and higher engagement.

7. L’Oréal

Change Drivers: E-commerce growth, AI personalization, digital marketing.
Value Proposition Shift: Cosmetics → personalized digital beauty experiences.
Strategy Shift: Data-driven engagement, sustainable product focus.
Business Model Shift: Retail sales → online + digital advisory + AI tools.
Enabling Technology Shift: AI skincare, e-commerce platforms, marketing analytics.
Enabling Organisation Shift: Digital centers, data talent recruitment.
Value Creation Shift: Loyalty, direct-to-consumer revenue, personalized offerings.

8. LVMH

Change Drivers: Global luxury growth, digital commerce, sustainability and experience demand.
Value Proposition Shift: Luxury goods → curated luxury lifestyle experiences + digital engagement.
Strategy Shift: Multi-brand portfolio, selective acquisitions, omnichannel integration.
Business Model Shift: Product sales → high-margin ecosystem leveraging retail + experiences.
Enabling Technology Shift: E-commerce, CRM, AR/VR showrooms, analytics.
Enabling Organisation Shift: Decentralized brand management + centralized strategic oversight.
Value Creation Shift: Premium pricing, brand loyalty, diversified luxury revenue streams.

9. Mercado Libre

Change Drivers: E-commerce growth, low financial inclusion in LATAM.
Value Proposition Shift: Marketplace → commerce + fintech ecosystem (payments, logistics).
Strategy Shift: Platform expansion, ecosystem integration.
Business Model Shift: Marketplace fees → fintech + logistics monetization.
Enabling Technology Shift: Mobile payments, integrated logistics platforms, data analytics.
Enabling Organisation Shift: Creation of fintech + logistics divisions.
Value Creation Shift: Cross-sell, ecosystem monetization, data-driven value.

10. Microsoft

Change Drivers: Declining PC sales, cloud computing rise, enterprise IT shift.
Value Proposition Shift: Licensed software → cloud + platform services (Azure, M365).
Strategy Shift: Cloud-first, mobile-first, open-source engagement.
Business Model Shift: One-time licenses → subscription + platform revenue.
Enabling Technology Shift: Cloud infrastructure, SaaS, AI integration.
Enabling Organisation Shift: Growth mindset, cross-product engineering focus.
Value Creation Shift: Recurring revenue, enterprise adoption, ecosystem lock-in.

11. Netflix

Change Drivers: Broadband adoption, consumer shift to streaming.
Value Proposition Shift: DVD rental → streaming + original content production.
Strategy Shift: Platform growth, data-driven content creation.
Business Model Shift: Rental fees → subscription + content production revenue.
Enabling Technology Shift: Streaming infrastructure, recommendation algorithms.
Enabling Organisation Shift: Data and content creation teams.
Value Creation Shift: Global scale, subscriber loyalty, personalized engagement.

12. Ørsted

Change Drivers: Climate policy, energy transition, decarbonization economics.
Value Proposition Shift: Fossil fuels → renewable energy solutions.
Strategy Shift: Divest oil/gas → invest in offshore wind.
Business Model Shift: Energy sales → project development + operations revenue.
Enabling Technology Shift: Offshore wind turbines, grid integration tech.
Enabling Organisation Shift: Green competencies and sustainability focus.
Value Creation Shift: Long-term renewable energy revenues, brand in sustainability.

13. Rolls-Royce (Automotive)

Change Drivers: Ultra-luxury market trends, electrification, bespoke customer expectations.
Value Proposition Shift: Luxury cars → ultimate personalized craftsmanship + bespoke experiences.
Strategy Shift: Focus on ultra-luxury, bespoke programs, EV integration.
Business Model Shift: Traditional car sales → low-volume, high-margin bespoke production.
Enabling Technology Shift: Electrification, digital design, 3D modeling, connected features.
Enabling Organisation Shift: Artisan-focused teams, integrated design + engineering + client advisory.
Value Creation Shift: Maximal per-unit margin, brand prestige, loyal ultra-HNW customer base.

14. Schneider Electric

Change Drivers: Sustainability demand, digitalization, energy efficiency trends.
Value Proposition Shift: Electrical equipment → intelligent energy management + automation.
Strategy Shift: IoT + edge computing integration for efficiency solutions.
Business Model Shift: Hardware sales → platform and services monetization.
Enabling Technology Shift: AI, IoT, automation platforms.
Enabling Organisation Shift: Innovation hubs, partnerships, startup incubation.
Value Creation Shift: Software-enabled service revenue, sustainable solutions.

15. Siemens

Change Drivers: Connected manufacturing, industrial IoT adoption.
Value Proposition Shift: Products → digital + predictive industrial services (MindSphere).
Strategy Shift: Data-driven, service-oriented customer solutions.
Business Model Shift: Product-focused → recurring digital services + platform licensing.
Enabling Technology Shift: Sensors, cloud, ML analytics, industrial IoT.
Enabling Organisation Shift: Software + digital talent, agile engineering teams.
Value Creation Shift: New recurring revenues, analytics-driven efficiencies for clients.

16. Xiaomi

Change Drivers: Smartphone competition, IoT ecosystem opportunities.
Value Proposition Shift: Smartphones → AIoT-connected device ecosystem.
Strategy Shift: User co-creation, integrated smart device ecosystem.
Business Model Shift: Device sales → hardware + IoT services + retail platform.
Enabling Technology Shift: AIoT, proprietary SoCs, unified OS.
Enabling Organisation Shift: Lean R&D, ecosystem incubation teams.
Value Creation Shift: Scale across devices + services, network effects, recurring revenue.

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