According to the International Federation of Robotics, more than 4.2 million industrial robots are currently in operation in factories worldwide, and over 540,000 new robots are installed each year. This rapid growth in robotization requires technological infrastructures capable of connecting machines, robots, and IT systems.

It is precisely in this environment that the EcoStruxure platform, developed by Schneider Electric, plays a key role. Designed to support the digital transformation of industry, EcoStruxure enables the connection of industrial equipment, the collection of production data, and the optimization of factory performance.

In a world where industrial competitiveness increasingly depends on the ability to leverage data and automation, this platform is becoming a central element of smart factories.

The rise of smart factories

Smart factories represent one of the major evolutions of modern industry. Unlike traditional production lines, these infrastructures rely on interconnected systems capable of communicating with each other and making data-driven decisions.

In a smart factory, robots, sensors, machines, and IT systems are connected to a digital platform that enables real-time monitoring of all industrial operations.

This approach offers several advantages:

• Improved productivity

• Reduced operational costs

• Predictive maintenance of equipment

• Optimized energy consumption

• Better production quality

According to several studies by McKinsey, the use of digital technologies in industry can improve factory productivity by 20 to 30% while reducing maintenance costs by up to 40%.

To achieve these objectives, companies must rely on platforms capable of connecting and orchestrating all their industrial equipment.

The global industry is entering
a new era driven by data and
automation.

EcoStruxure: an open architecture for industry

EcoStruxure is the industrial platform developed by Schneider Electric to address the challenges of Industry 4.0. It is based on an open architecture that enables the connection of different types of equipment and software.

This platform is built on three technological layers.

Connected products

The first level concerns the physical equipment present in the factory, including:

• Industrial sensors

• Programmable logic controllers (PLCs)

• Variable speed drives

• Motor control systems

• Energy management devices

These devices are capable of collecting data on machine operations, energy consumption, and production performance.

System control

The second level involves automation systems that control machines and coordinate industrial operations.

Automation software enables:

• Control of industrial robots

• Synchronization of production lines

• Automation of complex tasks

• Real-time supervision of operations

This technological layer forms the operational core of the smart factory.

Applications and analytics

The third level is dedicated to data utilization. The information collected by machines is analyzed to improve industrial performance.

EcoStruxure applications enable:

• Industrial data analysis

• Predictive maintenance

• Energy optimization

• Industrial performance management

This ability to transform data into actionable insights is one of the key strengths of modern industrial platforms.

Integration of industrial robotics

In modern factories, industrial robots play a central role in production processes. They perform repetitive tasks with high precision and speed.

Robots are now used in many industrial applications:

• Assembly

• Welding

• Material handling

• Pick and place

• Quality control

• Packaging

However, these robots must be integrated into a global system to ensure effective coordination with the rest of the production line.

EcoStruxure enables industrial robots to be connected to automation systems and supervisory platforms. This integration offers several advantages:

• Better visibility into robot performance

• Reduced downtime

• Optimization of production flows

• Predictive maintenance of equipment

Thanks to this approach, manufacturers can fully leverage the potential of robotics while improving the reliability of their installations.

Smart energy management

One of the major challenges of modern industry is energy consumption. Robotized and automated factories often consume large amounts of energy, which can significantly impact operating costs.

Schneider Electric, historically specialized in energy management, has integrated this dimension at the core of the EcoStruxure platform.

The proposed solutions enable:

• Measurement of machine energy consumption

• Identification of waste sources

• Optimization of equipment energy efficiency

• Reduction of factory carbon footprint

In a context where companies aim to meet sustainability goals, this ability to optimize energy management becomes a strategic advantage.

Industrial platforms are
becoming strategic
infrastructures.

Global adoption across multiple sectors

EcoStruxure solutions are now used across many industrial sectors, including:

• Automotive

• Electronics

• Food processing

• Logistics

• Pharmaceutical industry

• Energy production

In these environments, companies must manage complex infrastructures involving hundreds of machines and robots. Digital platforms make it possible to centralize information and improve decision-making.

This digital transformation is part of a broader movement toward the digitization of production chains.

The future of industry: robotics, AI, and data

The industry of the future will rely on the integration of several complementary technologies.

Among the most important trends:

• Advanced robotics

• Collaborative robots (cobots)

• Industrial artificial intelligence

• Digital twins

• Real-time data analytics

According to analysts at ABI Research, the global robotics market could exceed $110 billion by 2030.

Industrial platforms like EcoStruxure will play a central role in this transformation, as they enable these technologies to be connected within a coherent infrastructure.

In the long term, factories could become increasingly autonomous, capable of optimizing their production and automatically adapting to changes in demand.

Industrial robotization can no longer be considered without a digital infrastructure capable of connecting machines, robots, and information systems.

With EcoStruxure, Schneider Electric offers a platform that enables companies to build smart, connected, and more sustainable factories.

By combining industrial automation, energy management, and data analytics, this solution helps lay the foundations for the industry of the future.

As digital transformation continues to redefine production chains on a global scale, platforms capable of orchestrating these technologies will play a decisive role in the competitiveness of industrial companies.

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According to the latest statistics from the International Federation of Robotics, more than 542,000 industrial robots were installed in factories in 2025, a historic level that confirms the rapid expansion of industrial automation.

In total, more than 4.28 million industrial robots are currently operating in factories worldwide, representing an increase of about 10% in just one year.

But behind these robots lies a complex technological infrastructure: automation systems, energy management, data analytics, and machine supervision. It is precisely in this ecosystem that Schneider Electric has positioned itself as a key player in the era of Industry 4.0.

A Rapidly Expanding Industrial Robotization

Industrial robotics is one of the most dynamic technology sectors today.

The global robotics market is expected to reach over $110 billion by 2030, more than doubling its current size.

Within industrial robotics alone, revenues are projected to exceed $30 billion by 2030, with annual growth approaching 9%.

This growth is driven by several factors:

• Industrial labor shortages

• Rising labor costs

• Demand for flexible production

• Digital transformation of factories

• Rapid expansion of e-commerce and logistics

Today, robots are used in many industrial tasks:

• Assembly

• Pick and place

• Welding

• Quality inspection

• Packaging

• Automated material handling

However, robots alone are no longer enough. Manufacturers are now looking for connected factories capable of analyzing and optimizing production in real time.

Automation improves productivity
while enhancing industrial quality.

The Key Role of Digital Infrastructure in Robotized Factories

Modern factories rely on a digital architecture capable of connecting:

• Industrial robots

• Smart sensors

• Production machines

• Control systems

• Data analytics platforms

This interconnection makes it possible to create smart factories, where every machine can communicate with the rest of the industrial system.

The benefits are numerous:

• Performance optimization

• Predictive maintenance

• Reduced energy costs

• Improved quality

• Rapid production adaptation

This technological layer is exactly where Schneider Electric develops its solutions.

EcoStruxure: The Platform at the Core of Smart Factories

To address Industry 4.0 challenges, Schneider Electric developed EcoStruxure, a digital platform designed to connect industrial equipment.

EcoStruxure enables:

• Monitoring of production lines

• Intelligent energy management

• Industrial performance analytics

• Predictive maintenance

• Integration of robots into industrial processes

With this architecture, companies can leverage data generated by their machines to improve overall factory performance.

This approach also helps reduce energy consumption, a major challenge for modern industry.

Beyond industrial automation, technologies developed by Schneider Electric are present in several strategic high-growth markets. The group is now strongly involved in data centers, smart buildings, energy infrastructure, and automated factories.

These sectors are driven by major global trends: the rise of artificial intelligence, the energy transition, and infrastructure digitalization.

For example:

• The global data center market could exceed $1 trillion in cumulative investment by the end of the decade.

• The modernization of power grids and connected factories is creating increasing demand for platforms such as EcoStruxure, capable of connecting equipment, data, and energy within a single industrial ecosystem.

Schneider Electric Technologies Used in Robotized Factories

The solutions provided by Schneider Electric cover the entire industrial ecosystem.

Industrial PLCs

Programmable logic controllers enable robots to be controlled and coordinate the various machines on a production line.

Motion Control

Motion control technologies ensure precision and synchronization for industrial robots performing complex operations.

Industrial Supervision Software

Industrial software provides a complete overview of robot and machine performance, allowing operators to quickly detect anomalies.

Intelligent Energy Management

In robotized factories, energy consumption can be significant. Schneider Electric’s solutions help optimize energy usage and reduce operational costs.

Schneider Electric helps build
the technological foundations
of Industry 4.0.

Industrial Robotics Driven by Asia

Today, industrial automation is largely dominated by Asia.

In 2024:

• 74% of industrial robots installed worldwide were deployed in Asia

• Europe accounted for about 16% of installations

• The Americas represented around 9%

China has become the world’s largest industrial robotics market, accounting for more than half of global installations.

This dynamic is pushing European manufacturers to accelerate their digital transformation to remain competitive.

Toward the Factory of the Future: Robotics, AI, and Data

The next generation of factories will rely on the integration of multiple technologies:

• Industrial robots

• Collaborative robots (cobots)

• Artificial intelligence

• Industrial data analytics

• Digital twins

• Energy automation

The collaborative robot market, for example, could reach $12 billion by 2030, growing at a very rapid pace.

In this environment, technological infrastructures capable of connecting robots to industrial systems become essential.

This is precisely the role played by Schneider Electric.

Key Figures: Schneider Electric in Numbers

• Around €40 billion in revenue in 2025

• Presence in more than 100 countries

• Over 150,000 employees worldwide

• More than €4 billion invested annually in R&D

• More than 4.2 million industrial robots currently operating in factories worldwide

• The global industrial robotics market could exceed $110 billion by 2030

• Buildings represent around 40% of global energy consumption, a key sector for Schneider Electric solutions

• Global investment in data centers could approach $1 trillion by 2028, driven by AI and cloud computing

Industrial robotization is no longer limited to robots themselves. It now relies on a complete architecture combining automation, energy, and data.

With its industrial automation solutions and its EcoStruxure platform, Schneider Electric is helping to build the technological foundations required for the smart factories of tomorrow.

As robotics continues to transform global industry, the technologies that connect, control, and optimize robots will lie at the heart of the next industrial revolution.

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A technology ahead of its system

Humanoid robotics has reached a level of technical maturity that would have seemed unrealistic only a decade ago. Advances in artificial intelligence, perception, locomotion, and manipulation have enabled robots to walk, grasp, learn, and adapt in increasingly complex environments. Supported by progress in computing power, sensors, and foundation models, humanoid systems are now capable of executing tasks that closely resemble human actions.

Yet despite this progress, large-scale industrial deployment remains limited. Most humanoid robots are still confined to pilots, demonstrations, or tightly controlled experimental settings. The issue is no longer whether humanoid robots can function, real question is why they are not scaling.

The answer lies less in technology than in structure. Humanoid robotics is encountering a system-level bottleneck.

A coordination problem, not a capability gap

Across manufacturing, logistics, healthcare, and services, a recurring pattern emerges: the ecosystem surrounding humanoid robotics is fragmented. The key actors involved in deployment operate with different priorities, assumptions, and timelines.

Technology developers tend to focus on performance metrics such as dexterity, autonomy, learning speed, and adaptability. Industrial operators prioritize reliability, safety, integration with existing processes, and accountability. Investors evaluate scalability, narratives of disruption, and long-term market dominance. Regulators, insurers, and standards bodies focus on risk management, certification, and responsibility.

Each of these perspectives is internally coherent. The problem is their misalignment. Humanoid robotics currently lacks a shared operational framework that connects these actors into a functioning system. Without coordination, progress in one domain does not translate into adoption in another.

Humanoid robotics is no longer
limited by technology. It is constrained
by the system around it.

Lessons from collaborative robots

The contrast with collaborative robots, or cobots, is instructive. Cobots did not succeed because they were the most advanced robots available. They succeeded because the conditions for adoption were clear.

Safety standards were established early. Use cases were narrowly defined. Return on investment was measurable. Integration costs were predictable. Responsibilities were clearly allocated between manufacturers, integrators, and operators.

Humanoid robots, by contrast, aim to be general-purpose systems capable of adapting to multiple tasks and environments. This ambition places them in a fundamentally different category. Rather than tools, humanoids resemble infrastructure.

Infrastructure does not scale through demonstrations alone. It scales through standards, contracts, insurance models, and accepted failure modes. Until these elements are in place, even the most capable humanoid systems will struggle to move beyond experimentation.

The missing operating model

One of the most significant obstacles to deployment is the absence of a widely accepted operating model for humanoid robots. Basic questions remain unresolved across industries:

Who is responsible when a humanoid robot fails or causes damage? How is uptime defined and guaranteed and tasks certified as suitable for humanoid execution? How is operational risk priced and insured?

In traditional industrial automation, these questions are answered through decades of accumulated standards and practices. For humanoids, the answers are still emerging. As a result, many industrial actors perceive humanoid deployment as an open-ended risk rather than a controlled investment.

This uncertainty explains why numerous pilot projects fail to progress into scaled deployments. The technology may be ready, but the surrounding system is not.

From spectacle to reliability

Public discourse around humanoid robotics often emphasizes spectacle: lifelike movement, human-like interaction, and futuristic demonstrations. While these elements capture attention, they are not what drives industrial adoption.

Industries adopt systems that are predictable, reliable, and boring. Reliability matters more than novelty. Accountability matters more than performance peaks. Predictability matters more than versatility.

For humanoid robots to become viable at scale, the narrative must shift from disruption to dependability. The focus should move from what humanoids could do to what they can do consistently, safely, and economically over time.

What the industry should prioritize next

If humanoid robotics is to move beyond its current plateau, the next phase of development must focus on coordination rather than capability. Several priorities stand out.

First, use cases must be narrowly defined and repeatable. Controlled environments with stable processes offer the most realistic starting points. Attempting to solve too many problems at once increases uncertainty and slows adoption.

Second, shared deployment standards are essential. Safety certification, liability allocation, and operational responsibility need to be clarified early. Without these foundations, industrial actors will remain cautious.

Third, incentives across the ecosystem must be aligned. Developers, operators, insurers, and regulators need shared expectations regarding performance, risk, and timelines. Fragmented incentives lead to fragmented outcomes.

Finally, deployment strategies should emphasize integration over disruption. Humanoid robots are more likely to be adopted when they complement existing systems rather than attempt to replace them wholesale.

Reliability matters more than
novelty. Accountability matters
more than performance peaks.

Humanoids as emerging infrastructure

Seen through this lens, humanoid robots are not failed products or overhyped concepts. They are emerging infrastructure that has not yet found its operating rules.

Infrastructure adoption follows a different trajectory than consumer technology. It requires patience, coordination, and institutional alignment. Once established, it becomes invisible, embedded, and indispensable.

Humanoid robots will not scale because they are impressive. They will scale when they become unremarkable  when their presence no longer raises questions about safety, liability, or feasibility, but is simply part of how work gets done.

A systemic transition ahead

The next chapter of humanoid robotics will be shaped less by breakthroughs in hardware or AI than by progress in coordination. The challenge ahead is not to build better robots, but to build a system capable of deploying them.

Those who succeed will be the actors who understand humanoid robotics not as a standalone technology, but as a system that must be designed, governed, and aligned.

The transition from experimentation to infrastructure has begun. Whether it accelerates will depend on how quickly the ecosystem learns to coordinate itself.

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