Digital Transformation For Industrial Companies: What It Means and Why It Matters

Digital Transformation For Industrial Companies: What It Means and Why It Matters

Market Veep Market Veep 11 min read Feb 20, 2025
Digital Transformation For Industrial Companies: What It Means and Why It Matters
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From the moment humans first started to use factories, warehouses, and production lines, we’ve searched for ways to do it better. Industrial digital transformation is about finding ways to make the processes in those areas smarter, faster, and more efficient by: 

  • Incorporating the Internet of Things (IoT)
  • Leveraging the power of artificial intelligence (AI) and machine learning (ML)
  • Trusting the insights of big data
  • Utilizing automation for repetitive consistency
  • Engaging with the freedom of cloud computing

At its core, digital industrial transformation is about making businesses more agile and responsive to customer needs, while also giving leaders the ability to make decisions backed by real-time data.

Today’s marketplace competition is fierce and customer expectations are sky-high. The key to staying ahead, innovating, and future-proofing your business might just be found in industrial digitalization.

The Evolution of Industrial Digitalization

Industrial digitalization really got its start in the 1950s. That’s when computers entered the business world and set the stage for automation

By the 1960s, programmable logic controllers (PLCs) made their debut, giving manufacturers more precise control over machinery. 

The 1970s and 1980s saw robotics and computer-aided design (CAD) revolutionize the way products were planned and assembled. One of the many benefits these tools brought were more efficient and flexible production lines.

In the 1990s, the focus shifted to software with the rise of enterprise resource planning (ERP) systems. These tools helped businesses connect everything from inventory to accounting, streamlining operations across the board. 

At the turn of the century, the IoT came online. For the first time, machines and devices could communicate with each other, sharing data in real-time. 

Industry 4.0 came in with the 2010s. This led to the development of smart factories, where everything from production to maintenance could be monitored and adjusted with advanced technologies like AI and 5G. 

Today, we’re seeing even more advanced systems, like edge computing and digital twins. This is making industries more autonomous and adaptable than ever before. 

And the revolution is not over. Industrial digitalization continues to shape the future, bringing new opportunities for efficiency and innovation at every turn.

Why Industrial Companies Need A Digital Transformation 

An industrial digital transformation is no longer optional for companies—it's essential for staying competitive. That’s because, at its core, a digital transformation enhances efficiency and drives innovation, two critical factors for success.

Enhancing Efficiency

According to a study by McKinsey, companies that implement predictive maintenance can:

  • Cut downtime by 30-50%
  • Lower maintenance costs by 10-40%

These reductions can be achieved with IoT and AI technologies which enable companies to collect real-time data from their machinery which can be used to develop usage patterns from which maintenance needs can be discovered.

This leads to reduced downtime, smoother operations, lower costs, and increased production capacity.  

Driving Innovation

According to Deloitte, organizations that embrace innovation through industrial digitalisation report 2.5x greater revenue growth than those that do not. But, a true transformation is not just introducing new technologies, it’s using those to drive business success.

  • Leveraging data analytics and machine learning, companies can identify new opportunities for growth and product development. 
  • Capitalizing on 3D printing and digital twins allows for faster prototyping and innovation cycles. This gives companies a competitive advantage in product design and time-to-market.  

Supporting Sustainability and Compliance

Sustainability and regulatory compliance are important benchmarks in industrial operations. A report by PwC found that 67% of industrial companies are using digital technologies to manage their goals in:

  • Energy consumption
  • Waste Reduction
  • Carbon emissions output

The results of this work are often not only a better bottom line, but also a strengthened reputation.  

7 Steps to Initiate An Industrial Digital Transformation

By following these steps, you’ll set your business up for a smoother, more efficient, and innovative future. Just remember, undertaking a digital transformation takes time. It’s a marathon, not a sprint!

1. Start with a Digital Health Check  

Before diving in, assess your current tech, systems, and operations. Consider questions like:

  • Is your tech infrastructure future-ready, or stuck in the past? 
  • Do your employees understand modern tools, or are they confused by terms like “cloud computing”? 

A digital health check helps identify potential pain points and process areas that need attention. Working those out prior to starting an industrial digitalization plan will help that transformation proceed smoothly.

2. Set Clear, Realistic Goals  

There’s a lot of change you might want to enact, but it’s important to set achievable goals. Focus on what matters, like boosting efficiency, improving customer experience, or reducing waste. 

Setting specific goals—like “improve operational efficiency by 20%”—will keep you on track and help measure progress. You’ll be able to build on initial successes to expand your transformation plan.

3. Pick the Right Tools  

With countless digital tools available, it’s easy to get overwhelmed. Focus on what you need to achieve with your goals. Based on where you are with a transformation plan you might use:

  • IoT sensors for real-time machine tracking
  • Cloud computing for accessible storage
  • AI for data analysis
  • Robotics for automating repetitive tasks 

It’s easy to get distracted by the newest big, shiny tech breakthrough, but it will be important that you focus on the solutions that solve your immediate problems.

4. Develop a Data Strategy  

Data is the backbone of an industrial digital transformation. It can be used to develop analytics that identify trends and provide actionable insights. 

5. Train Your Team  

Technology is great but your team will be the key to transformation success. Leadership should  champion the transformation process, and support a culture that embraces change. When appropriate, invest in training so everyone knows how to use the new tools and systems. 

An excited, engaged team will make a much bigger impact than one that has to be dragged along.

6. Start Small: The Pilot Project Approach  

Digital transformation of industries tends to fail when companies go all in with everything at once. It can be overwhelming and hard to monitor where things are going well and which areas need adjusted. You might consider starting your transformation with a pilot project. Focus on one area where a digital transformation can make a big difference—like using AI for predictive maintenance on one production line. 

Test, learn, and refine before scaling up. A small pilot gives you proof the strategy works and confidence to expand.

7. Monitor, Measure, and Adjust (Repeat)

Industrial digitalization is an ongoing process. To monitor and manage your process, regularly track your KPIs and adjust your approach as needed. Remember, if something’s not working, it’s okay to adjust the plan. 

By following these steps, you’ll be well on your way to a digital future that boosts efficiency, drives innovation, and sets you up for long-term success.

Key Technologies Driving Digital Transformation in Industries

Digital transformation is being fueled by some seriously game-changing technologies making industries smarter, faster, and more efficient. Here’s a look at the key players:

Artificial Intelligence (AI)

In many ways, AI is the brains behind an industrial digital transformation. It enables machines to: 

  • Learn from data
  • Make process decisions
  • Automate tasks that used to take humans forever to figure out 

It’s also a huge help in areas outside of the supply chain. AI plays a big role in customer service—think chatbots that can handle customer queries 24/7 or in algorithms that suggest personalized products based on past behavior.

Internet of Things (IoT)

Imagine a world where everything—from presses to packaging machines—can talk to each other. That’s the IoT in action.  It gives businesses full visibility into their supply chain, so they can track everything from production to delivery in real-time.

Robotics

Robots aren’t just the stars of movies anymore—they’re here, and doing real work. All along the supply chain, robots handle repetitive, dangerous, or super-precise tasks which helps:

  • Cut down on human error
  • Reduce costs
  • Boost productivity

Cloud Computing

Cloud computing is like a digital storage locker, in the sky. It lets companies securely store and access data from wherever they are. With the cloud, businesses can run applications, perform real-time analytics, and scale operations up (or down) in an instant.

Real-World Examples of Digital Transformation in Industrial Sectors

Digital transformation isn’t just theory—it’s happening right now in industries across the globe. 

General Electric (GE) – Predictive Maintenance with IoT

GE has embraced digital transformation through its Predix platform, which uses IoT and data analytics to monitor and predict the condition of industrial equipment like turbines and jet engines. By embedding sensors into these machines, GE collects real-time data, which helps predict potential failures before they happen. 

This predictive maintenance approach has significantly reduced downtime in industries like aviation and energy. The result? Lower costs, improved uptime, and more efficient operations.

Siemens – Smart Factories with Automation and AI

Siemens has set the standard in using AI, robotics, and automation to build smart factories. Its Amberg Electronics Plant in Germany uses digital systems to track every aspect of production, from inventory to machine performance. Siemens’ use of AI-powered robots and real-time data analytics has led to a 75% increase in productivity. 

By integrating digital tools, Siemens not only boosted production but also created a more sustainable and efficient manufacturing process.

Caterpillar – Cloud Computing for Fleet Management

Caterpillar uses cloud computing to transform how it manages its machinery. With its Cat Connect platform, they collect data from construction machines around the world. This detail is analysed and used to help operators optimize performance, prevent breakdowns, and reduce fuel consumption. 

Diving deep into real-time data has enabled Caterpillar to help equipment owners reduce operational costs. 

Challenges Faced by Industrial Companies in Implementing Digital Transformation

Implementing a digital industrial transformation is exciting. It also has its fair share of challenges. 

Budget Constraints

Investing in new technologies—like IoT sensors, AI software, and cloud infrastructure—requires significant upfront capital. Additionally, ongoing costs can add up for things like:

  • System maintenance
  • Training
  • Increased cybersecurity 

For many industrial companies, particularly smaller ones, this can feel like a daunting financial commitment. Particularly when the long-term benefits (like increased efficiency and reduced downtime) are clear, but the return on investment (ROI) isn’t immediately set.

Resistance to Change

People are creatures of habit, and this rings true in industries where traditional methods have worked for years. Employees, particularly those with long tenures, may feel threatened by new technologies. They might be afraid of losing their job or that they won’t be able to “keep up” with the newly installed technologies.  

Overcoming this resistance requires clear communication and training. 

Technical Barriers

Integrating new technologies with legacy systems is another common challenge. Many industrial companies still rely on outdated equipment and software that isn’t designed to work with modern digital tools. This can lead to:

  • Data integration setbacks
  • Systems compatibility/incompatibility issues
  • Stretched cybersecurity capabilities and exposed system vulnerabilities

The Future of Industrial Digitalization: 4 Trends to Watch

The future of industrial digitalization is filled with exciting possibilities. New technologies and trends will redefine how industries operate, innovate, and stay competitive. Here’s a sneak peek at what’s coming.

1. Your New (Very Smart) Team Member

AI is becoming the backbone of entire industries. Soon, companies won’t just use AI for small tasks but for entire workflows. We’re talking about self-optimizing systems that learn from data in real-time, making decisions without human intervention. 

In an industrial setting, imagine predictive maintenance so advanced that it can detect an issue weeks before it happens. Or production lines that adjust automatically for maximum efficiency.

AI is poised to become a true partner in operations, not just a tool.

2. 5G and Edge Computing: Speeding Things Up

We’ve all heard the hype about 5G, but its impact on the digital transformation of industries will be enormous. With faster data speeds and ultra-low latency, 5G will supercharge real-time decision-making. Pair that with edge computing, where data is processed at the source, and you get the ability to make instantaneous adjustments to a process. 

3. Digital Twins: The Virtual Crystal Ball

Imagine being able to create a virtual version of a machine or factory. Digital twins will enable companies to simulate real-world systems virtually. With these models, they can predict with accuracy how systems or products will perform in different conditions. This means faster prototyping, more efficient operations, and zero-risk testing. It’s like having a crystal ball for your operations.

4. Saving the Planet, One Byte at a Time

As the world becomes more environmentally conscious, digital technologies will play a huge role in making industries more sustainable. From AI-powered energy management systems to sensors that track carbon emissions, smart tech will help businesses:

  • Cut waste
  • Lower energy use
  • Meet stricter environmental regulations

In short, the future of industrial digitalization is fast, smart, and green. 

With these trends on the horizon, industries will become more agile, efficient, and sustainable—ready for whatever comes next.

The Role of Marketing in Digital Industrial Transformation

Industrial digital transformation isn’t just about upgrading your factory floor—it’s also about revolutionizing how you market your products and services. Marketing doesn’t need to be another thing to manage manually. Embracing digital marketing tools like automation and analytics can make a huge difference in how you connect with your customers and drive growth.

Automation: Let Technology Handle the Heavy Lifting

Automation helps you streamline repetitive tasks like email campaigns, social media posts, and lead nurturing. For example, a potential customer visits your website and signs up for a demo. “You” automatically send them personalized follow-up emails with case studies, product info, and a special offer—all without lifting a finger. 

It’s the kind of efficiency that helps you stay top of mind and move leads through your pipeline faster. 

Analytics: Making Smarter Decisions with Real-Time Data

Guessing what’s working in your marketing efforts isn’t a real strategy. Analytics tools help you understand exactly what’s driving results and where you need to adjust. With a digital transformation, you can track every customer click, interaction, and conversion in real-time. 

Whether it's tweaking an email subject line or discovering that your ads perform best on certain social platforms, data lets you make smarter decisions, fast. Plus, with predictive analytics, you can stay ahead of the curve by identifying emerging trends and customer behaviors before they happen.

Enhanced Customer Insights: Building Stronger Relationships

Knowing your customers is key. With the right data-driven tools, you can segment your customer base and personalize your outreach. Whether it’s a blog post, product video, or case study, you can tailor your messaging to meet a unique customer’s specific needs. 

That’s because industrial digitalisation makes it easier than ever to gain deep insights into customer’s needs, pain points, and behaviors. This deeper understanding allows you to engage with your customers at the right time, with the right message, on the right platform. 

The Bottom Line

Digital transformation is the future of industrial growth. The world is changing fast, and staying ahead with digital solutions will help you remain competitive and thrive. These new technologies don’t just improve efficiency—they help you connect with customers in more meaningful ways, driving loyalty and growth. 

The sooner you start embracing an industrial digital transformation, the better positioned you’ll be for long-term success in an increasingly digital world.

To discuss your company’s industrial digital transformation plan, contact us today.

Digital Transformation FAQs

What is industrial digital transformation?

Industrial digital transformation refers to the integration of digital technologies into all aspects of an industrial company’s operations, from manufacturing and production to marketing and customer service. It involves using tools like: 

  • IoT
  • AI
  • Automation
  • Cloud computing
  • Data analytics 

By adopting these technologies, industrial companies can enhance productivity, reduce costs, improve customer experiences, and stay competitive in an increasingly digital world. 

Essentially, it’s about using technology to future-proof your business and drive sustainable growth.

Why is digitalization important for industrial companies?

A digital industrial transformation is crucial for companies because it helps them:

  • Stay competitive
  • Improve efficiency
  • Meet evolving market demands

By adopting digital technologies companies can optimize production processes, reduce downtime, and cut operational costs. It also enables better decision-making through real-time data, enhancing both speed and accuracy. 

Additionally, digital tools allow businesses to offer more personalized customer experiences. It can also help companies create innovative products or services. In a rapidly changing business environment, digitalization isn’t just a trend—it’s a key driver of long-term success and sustainability.

What are the top benefits of digital transformation in manufacturing?

Digital transformation in manufacturing brings numerous benefits to businesses, including:

  • Increased efficiency through automation
  • Predictive maintenance to avoid costly downtime
  • Improved quality control with real-time monitoring
  • Better decision-making through real-time data and analytics
  • Enhanced flexibility and market agility

By embracing digital tools, manufacturers can optimize operations, reduce costs, and stay competitive in a rapidly evolving industry. This transformation will ultimately drive both innovation and long-term growth.

How long does the digital transformation process take for industrial companies?

The timeline for digital transformation varies depending on the:

Size of the company

Complexity of its operations

Scope of the changes being implemented

For some businesses, a basic industrial digitalization of processes might take several months, while a full-scale transformation involving multiple technologies (like IoT, AI, automation, and data analytics) could take 1-to-3 years (or more). 

The key factors influencing the timeline include:

  • Leadership commitment
  • Employee training
  • Integration with legacy systems
  • Level of digital maturity already present within the organization

And the process is ongoing. Industrial digital transformation is not a one-time project, but a continuous journey of innovation and adaptation to new technologies.

What challenges should industrial companies expect when adopting digital solutions?

Adopting digital solutions presents several challenges, including:

  • High initial costs for new technology
  • A need for training
  • Resistance to change from employees
  • Potential difficulties in legacy systems integrations 
  • Data security concerns

While these obstacles can be significant, they can be overcome with careful planning, employee engagement, and the right expertise. Despite the challenges, the benefits of digital transformation—such as increased efficiency and competitiveness—make the process worthwhile.

 

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