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Industry 4.0 solutions

Steer your business to success and unlock the value of Industry 4.0 and IIOT software from SAP across your entire supply chain.

Make Industry 4.0 your everyday reality

With Industry 4.0 solutions and technology from SAP, you can bring data-driven processes and operational flexibility to the entire business.

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Apply four winning strategic initiatives from SAP by putting intelligence into products, factories and logistics, assets, and people.

  • Intelligent products can be built and configured to meet customers' unique needs and use sensors to report on their operational health.
  • Intelligent factories use advanced technologies to run autonomously and deliver mass-produced or individualized products at scale.
  • Intelligent assets link all operational processes and enable predictive maintenance of equipment.
  • Empowered people have the tools and information they need to do their best work.
Learn more about Industry 4.0

SAP provides key solutions for Industry 4.0

SAP's supply chain management portfolio brings all the Industry 4.0 capabilities together across your ecosystem. Combine the power of digital manufacturing in factories and plants with business process execution across the supply chain.

Develop connected, self-aware products that are capable of sharing information about their health, location, usage level, storage conditions, and more.

The data these smart products share can help you improve everything from product quality and customer service to logistics and R&D. They can also anticipate service needs, receive remote upgrades, and open the door to new, service-based business models.

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See what analysts are saying about Industry 4.0

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A guide for digital transformation in manufacturing

Uncover how to overcome supply chain disruptions and future-proof your manufacturing processes in this IndustryWeek white paper. 

Read the white paper 

Frequently asked questions

Industry 4.0 is built on nine technology pillars. These innovations bridge the physical and digital worlds and make intelligent and autonomous systems possible. Businesses and supply chains already use some of these advanced technologies, but the full potential of Industry 4.0 comes to life when they’re used together. These technologies include:

  • Big Data and AI analytics

  • Vertical and horizontal integration

  • Cloud computing

  • Augmented reality

  • Industrial Internet of Things

  • Additive manufacturing (also known as 3D printing)

  • Autonomous robots

  • Simulation or digital twins

  • Cybersecurity

Intelligent products: Develop connected, self-aware products that are capable of sharing information about their health, location, usage level, storage conditions, and more. The data these smart products share can help you improve everything from product quality and customer service to logistics and R&D. They can also anticipate service needs, receive remote upgrades, and open the door to new, service-based business models.

Intelligent factories: Run smart factories – highly digitalized, largely autonomous facilities that take full advantage of advanced technologies such as Big Data, AI, robotics, analytics, and the IoT. Also called Factory 4.0, these plants are self-correcting, employ smart manufacturing 4.0 processes, and make it possible to deliver customized products cost-efficiently and at scale.


Intelligent assets: Almost every physical asset deployed today has built-in sensors – which, when connected to the IoT and analytics, are game changers for enterprise asset management. With intelligent assets, technicians can monitor asset performance in real time, anticipate and prevent downtime, employ dynamic and predictive maintenance, take advantage of digital twins, and tightly integrate assets and business processes.

Empowered people: No matter how autonomous your systems are, you will always need people. Empower workers with technologies such as AI and access to live sensor data – so they know what’s happening on the shop floor and are ready to make quick decisions and handle issues as they spring up. Wearable devices and augmented reality apps can also help people solve problems, monitor their health, and keep them safe.

Vulnerability to cyberattacks: With the increased connectivity and use of Big Data in Industry 4.0, effective cybersecurity is paramount and should be considered at every stage of implementation, not as the last step. By implementing a "Zero Trust" architecture and technologies such as machine learning and blockchain, companies can automate threat detection, prevention, and response – and minimize the risk of data breaches and production delays across their networks.

Fear of job losses: There is no question that the fourth industrial revolution will change the workforce. But it’s not repetitive labor that leads to innovation – it’s ideas and creative thinking. Digitally augmented workers are freed up to use their heads instead of just their muscles. In 1980, there were only a few thousand computer programmers in the whole world. Today, there are more than 20 million. While many physical tasks will be taken over by robots, many more tasks will be created to run a digitally enhanced business.

The technologies you start with will depend on which processes are the most critical to your core business model – and which areas of your company stand to benefit the most from transformation. When getting started, companies often focus on one core technology at a time. By their design, Industry 4.0 solutions deliver a lot of robust Big Data and insights that can help you accurately assess their ROI and benefits. This makes integrating subsequent areas of the business an increasingly smooth process.

If the last few years have taught us anything, it’s that we can’t always see what’s coming. And while we can’t predict the future, we can take steps to ensure that we’re more resilient and better prepared for it.  The best in-memory ERP systems are scalable and support unlimited workloads, and Industry 4.0 technologies are developed specifically to ramp up to support future growth and adapt to unexpected change.

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