Clearly, the thing that’s transforming is not the technology — it’s the technology that is transforming you.” — Jeanne W. Ross Digitization has changed many industries' entire landscape, and the manufacturing sector is not an exception. Advanced technologies are taking this industry to greater heights. As per the latest marketing reports, the global manufacturing industry's revenue was in 2021. These numbers will grow to USD in 2028 at a . This steady growth in CAGR results from the growing demand for digitized manufacturing technologies worldwide. USD 116.14 billion 337.10 billion CAGR of 16.4% Manufacturers have started identifying digital transformation prospects to increase their business productivity, ensure rapid growth, and remain competitive. Indeed digitization has greater impacts and can give your brand an edge in the market if done properly. The successful implementation comprises the latest digital manufacturing trends that include the Internet Of Things (IoT), Augmented Reality (AR), Artificial Intelligence (AI), Blockchain, and more. My blog intends to provide you with a list of top trends that can help you establish a robust digital transformation foundation for your manufacturing business and derive maximum benefits from it. So, let's get started. Top Digital Transformation Trends in Manufacturing 1. Artificial Intelligence (AI) for Greater Efficiency in the Manufacturing Process Source Among the digital transformation trends in manufacturing, perhaps none is more prevalent than AI. Experts predict this technology will drive of all business value by 2022. What's more, Gartner estimates that of customer interactions will be managed without a human agent by the end of 2022. over 40 percent 75% One of the primary reasons for the tremendous growth in AI-related revenue is that organizations want to take advantage of deep learning and predictive analytics to improve their business processes and boost their ROI. Many manufacturers have already adopted this technology and use it for various tasks, such as: Identifying profitable trends in sales and marketing. Removing humans from the equation in high-risk tasks, thus reducing the likelihood of human error Analyzing data collected from connected machines in real-time to predict machine failures Improving quality management by detecting defects before they become a problem Identifying profitable trends in sales and marketing. 2.  Collaborative Robots to Speed up Manufacturing Process Automating repetitive tasks performed by humans is a significant benefit for organizations that want to improve their ROI. Collaborative robots collaborate with human workers and increase productivity in the workplace. According to a report from Tractica, collaborative robots will be used in nearly every industry by 2025, including manufacturing. Research from the International Federation of Robotics proves that the number of collaborative robots in operation worldwide will increase twofold in 2022. The report also forecasts an impressive compound annual growth rate for this technology over the next eight years. (CAGR) of 32 percent 3. Digital Twin to Bridge the Gap Between Data and Actionable Insights Source A digital twin represents a digital representation of a real-world object or system, such as a product, machine, building, or process. For manufacturers, the management (ELM) stage. It can help companies gather data from machines and incorporate it into smart manufacturing strategies. Manufacturers can use them to predict machine failures and increase equipment uptime. A manufacturer has a CNC machine that, over time, begins to show signs of stress. The company can use data from this machine and its twin to predict when the equipment will break down and deliver a replacement before it happens. Therefore, digital twins help manufacturers improve their operations and better serve customers. For example- 4. Augmented Reality For Faster & More Efficient Maintenance Services Source Augmented Reality and Virtual Reality technologies will play a significant role in the digital transformation trends in manufacturing because they allow organizations to offer customers better, faster maintenance services. By leveraging AR devices for visual instructions, manufacturers can demonstrate how to fix defective products or equipment to resolve issues more quickly. Let's assume that a customer has purchased a faulty machine part. A manufacturer can send an engineer to the customer's location with an AR device, which shows them how to make the necessary repairs. It means customers spend less time waiting for maintenance services and get back up and running more quickly. For example- 5. Blockchain to Boost Transparency in the Manufacturing Process Source According to a recent report from Gartner, blockchain is becoming one of the top five technologies that manufacturers must consider. Its decentralized, transparent nature makes it a perfect fit for many business processes within verticals such as manufacturing. Blockchain enables manufacturers to eliminate intermediaries and increase transparency in the supply chain process. This technology allows organizations to share information securely without compromising data integrity. For example- 6. Sensors & Smart Devices for Better Quality Control In order to keep pace with the expectations of the digital consumer, businesses must ensure that their products delivered to the market are safe, high-quality goods. Manufacturers can use a variety of sensors and smart devices in real-time to track everything from the environmental conditions of a product to its location. A manufacturer has multiple facilities that produce metal parts for machinery. Sensors and smart devices allow them to track these goods at each step in the process to ensure they don't fall into the wrong hands or travel too far from their original destination. For example- 7. Advanced Analytics for Real-time Risk Prevention & Management Manufacturers can use advanced analytics to gain real-time insights into potential risks throughout their production processes, which helps them avoid costly issues before they occur. an energy company operates a chemical plant that produces harmful gases and flammable liquids. It uses advanced analytics to monitor the equipment in real-time for temperature fluctuations. If the system detects an issue, it sends an automatic alert to nearby personnel, who can address the problem before it becomes severe. For example- 8. 3D printing for a Faster & More Efficient Prototyping Process As a result of rising product complexity and customer expectations for customized goods, manufacturers must adopt technologies that help them improve turnaround times and cut costs. A viable option for many businesses is 3D printing, which enables them to quickly build a new product or component model before it goes into full production. a manufacturer has created an innovative ax design with interchangeable heads for different uses. Before investing in expensive tooling, they can 3D print several versions of the ax, which helps them test its features and make any necessary adjustments. For example- 9. The Internet of Things (IoT) to Create a Smarter and More Secure Production Environment Smart devices can play a significant role in helping manufacturers deliver better customer experiences and generate new revenue streams by making new business models that support digital transformation. An industrial manufacturer has built a network of smart devices around its facilities that monitor the environment, including temperature fluctuations, energy consumption, and unexpected noise levels. This data can predict breakdowns before they occur and make any necessary adjustments to improve uptime. For example- 10. 3D Scanning for Better Part Inspection During Production Due to the rising products' complexity, manufacturers must verify that their components are manufactured to the correct specifications. One way to do this is through 3D scanning, which gives them a digital blueprint of each product to compare it with design specs before allowing its release into the production process. a semiconductor manufacturer uses 3D scanning to ensure its parts meet specific requirements in the production test phase. If not, they can make necessary adjustments before the product goes into full production. For example- 11. Predictive Maintenance for Greater Equipment Uptime Source Predictive maintenance is a technique manufacturers can use to keep their equipment in optimal working order for extended periods. According to research from McKinsey, this technology can reduce unplanned downtime by . up to 50% By using sensors and advanced data analytics tools, manufacturers can more accurately identify potential problems before they occur and make necessary adjustments, such as changing the lubricant levels or cleaning equipment components. A business that manufactures parts for jet engines has installed sensors on some of its machinery to monitor critical metrics like temperature and usage hours. These devices send regular reports back to a central system to alert operators to any abnormalities before impacting productivity. For example- 12. Edge computing to Improve Services for Smart Factories, cities, and infrastructure Source As the number of connected devices grows higher than ever before, businesses struggle to achieve the speed, security, interoperability, and efficiency needed for success. Fortunately, edge computing can help them overcome these challenges by providing continuous access to big data and advanced analytics applications via the network's edge. a manufacturer has created a smart factory that houses thousands of sensors throughout its facilities, including monitoring machines, materials, and other vital areas. It makes so much data that it can overwhelm even the most powerful servers. To keep up with demand, they use edge computing, which routes the data to the network's edge before moving it back through a central hub. For example- Conclusion We can conclude that digital transformation is a significant opportunity for manufacturers to become more agile, efficient, and competitive based on emerging technologies and trends. Manufacturers must be willing to take risks and adopt the tech advancements to succeed in the market. The smart factory is changing everything from traditional manufacturing processes to business models. So, it’s high time to embrace technologies in your manufacturing business, and if needed assistance, get in touch with the . They’ll guide you out better. business transformation agency

Chain

7 Best Hybrid Mobile App Development Frameworks for 2022

Nominated for 2022 - HackerNoon Contributor of the Year - Mobile

Nominated for 2022 - HackerNoon Contributor of the Year - Digital Transformation

Nominated for 2022 - HackerNoon Contributor of the Year - App Development

Nominated for 2022 - HackerNoon Contributor of the Year - Scrum

Nominated for 2022 - HackerNoon Contributor of the Year - Flutter

Nominated for 2022 - HackerNoon Contributor of the Year - Automation

Too Long; Didn't Read

Boost your HackerNoon story @ $159.99! 🚀

The Top 10 Digital Transformation Trends in Manufacturing for 2022

The Top 10 Digital Transformation Trends in Manufacturing for 2022

About Author

Comments

TOPICS

THIS ARTICLE WAS FEATURED IN

Related Stories

Untitled Story

10 Best Countries to Outsource Software Development in 2022

The Noonification: How Often Do NFTs Pass The Howey Test? (1/13/2023)

Darwin's Hybrid Intelligence to Align AI & Human Goals for Startups & VCs

The Noonification: White Man (11/26/2022)

The Noonification: The Metaverse is a Sh*tshow (11/2/2022)

10 Best Countries to Outsource Software Development in 2022

The Noonification: How Often Do NFTs Pass The Howey Test? (1/13/2023)

Darwin's Hybrid Intelligence to Align AI & Human Goals for Startups & VCs

The Noonification: White Man (11/26/2022)

The Noonification: The Metaverse is a Sh*tshow (11/2/2022)

Light-Mode

Classic

Newspaper

Dark-Mode

Neon Noir

Minty

HN StartUps