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Prevailing Trends in the 3D Printing Industry

Thieves with 3D printers can compromise shipments of export cargo and import cargo in international trade.

Prevailing Trends in the 3D Printing Industry

3D printing can revolutionize the manufacturing process. Flexibility, design freedom, time-to-market, mass customization, distributed production, and other advantages have strategic consequences. 3D printing is a significant time- and cost-saving option for design and manufacturing, with new, better-performing machines, more materials available, and a greater capacity to create 3D printed products that are close to their mechanical properties.

Global 3D printing Market size was valued at around USD $14 billion in 2021 and the industry is projected to grow about USD 21.85 billion by 2030, growing at a CAGR of 21% between 2021 and 2030. 

Key Trends that will impact the 3D printing industry

  • The new era of Faster, Bigger, and cheaper 3D printing

Rapid advancements in 3D printing technology have prompted the development of more powerful, affordable printers. Simultaneously, increased demand for specialized materials that can meet the required qualities of end parts will drive the creation of innovative materials.

The capacity to handle a wider range of advanced materials is a significant feature of new-generation printers, particularly industrial-grade versions. This makes it possible for more companies to gain from 3D printing.

Although equipment prices remain high, faster printing speeds are driving down the cost of parts. Additionally, the adaptability of 3D printing is expanding due to features like dual-extrusion printheads. 

  • Additive Manufacturing Role in supply chain

Manufacturers must have access to various printers and materials and establish relationships with other professionals in the field to fully benefit from additive manufacturing.

Furthermore, interoperability among different systems has become critical to realizing the full potential of 3D printing. In 2022 and beyond, automated manufacturing, post processing, and integrated usability will become more crucial.

AM can establish a new method for managing supply chains. 3D printing would be part of a comprehensive and secure platform in which various steps—from product design to materials to digital inventory to production and delivery—would be merged into a seamless process. The creation and utilization of these platforms will contribute to the shift to digital production and the implementation of Industry 4.0.

  • Development of Manufacturing Ecosystem

Partnerships can generate mutual benefits and synergies, resulting in a better product for end users. This has shown to be a key facilitator of industrial production scale in 3D printing. However, we see a need for a more comprehensive collaboration in 2022. Standards must be developed collaboratively, printer and postprocessing systems must be compatible, and production data collected may lead to improved printers and materials.

To achieve the best results for all parties concerned, close collaboration is necessary. The next phase in AM improvement is the creation of a global ecosystem that connects service providers, material manufacturers, and print farms. 

  • Security concerns and quality assurance

Additive manufacturing is continuing to alter manufacturing as more organizations use the technology for part production. Companies need reassurance that their 3D-printed products meet specific quality requirements for industrial manufacturing. 

Additionally, data ownership will be very important. It’s important to keep the intellectual property in the right hands. Data management will be essential as the industry transitions into the digital age. Organizations must also enforce manufacturing parameters by encrypting the data to ensure that the required quantity and material are used to make the parts. Manufacturing data collection and analysis allows for speedy error detection, process improvement, and compliance with all quality standards.

  • The need to create a strong supply chain

3D printing has already been employed to solve these challenges, and its use is expected to rise. The technology offers shorter, stronger, and more robust supply chains by decentralizing supply networks and producing on-demand close to the consumer location.

The supply chain’s weak link is physical inventory; therefore, the ability to store items digitally rather than physically in a warehouse minimizes the need for storage and transportation. Once an item is ordered, it can be immediately dispatched to the best fitting, most appropriate production partner based on location, capabilities, and capacity using a digital warehouse. Parts can be manufactured anywhere by lowering CO2 emissions in logistics and boosting supply chain resilience

  • Implementation of sustainable 3D printing 

Sustainable production and supply chains are becoming more and more essential due to end-user demands, governmental requirements, and even moral obligations. This is also prevalent in 3D printing, which has the potential to reduce waste during production. Engineers can dramatically reduce the end part’s weight by designing it for 3D printing, minimizing the material required for production. 

Carbon dioxide emissions during transportation are minimized by placing production closer to the next step in the supply chain. Furthermore, there will be an increase in the use of sustainable 3D printing materials such as recycled, reusable, and biodegradable plastics.


Cybersecurity Risk and Consequences in Collaborative Robots

Cyber security protects internet-connected devices and data from various online threats. Businesses require cyber security to safeguard their data, intellectual property, and money. The global cyber security market size in 2021 was $216.10 billion, and by 2030 it will reach $478.68 billion, at a 9.5% CAGR during 2021-2030.

Collaborative robots work with human workers in a shared, collaborative workspace. A collaborative robot is responsible for menial, repetitive tasks in most applications, while a human worker completes more complex tasks. The uptime, accuracy, and repeatability of collaborative robots are intended to supplement a human worker’s intelligence and problem-solving skills.

The collaborative market size in 2021 was worth $701 Million, and it will reach $2506.90 Million by 2030 at a CAGR of 15.2% during the forecast period. 

Collaborative robots heavily depend on information technology to create a fenceless collaborative environment between humans and robots. Cybersecurity threats in collaborative robots are particularly serious because the consequences of an attack can range from data theft to product damage and human injuries.

Benefits of collaborative robots in the workplace

Collaborative robots have several advantages over standard industrial robots because of their flexibility. They can help the warehouse, production line, or construction site employees by taking on several heavy, unergonomic, and time-consuming duties. Collaborative robots support workers in areas like final assembly that are difficult to automate and are more likely to be the cause of worker injuries in larger organizations like car manufacturers with automated production lines already in place.

Major consequences of cyber-attack on collaborative robots 

  • Safety: Cobots are designed to operate in a human-friendly environment. Any unauthorized changes to its security procedures may risk this critical function.
  • Integrity: If the integrity of a robot is compromised, it is no longer fit for its intended purpose.
  • Accuracy: Small malicious changes to a robot’s precision can risk product integrity, while large changes can endanger the robot itself.

One of the most serious problems emerges when the robot’s safety, integrity, and accuracy are practically unnoticeable.

Cybersecurity risks that can affect the collaborative robot

  • Unsecured surrounding

Industry 4.0 refers to the digitization of important activities in manufacturing and other sectors. It has caused significant concern, particularly in the IIoT (industrial internet of things). IIoT is a subtype of the internet of things, and both describe the growing network of sensors and gadgets linked via networks.

Various devices in both IoT and IIoT may be security records. However, collaborative robots may not be at risk, but cybercriminals can use the connectivity to reach the cobot. 

While integrating cobots with IIoT gadgets, companies need to ensure the safety of these devices. Businesses must ensure that the manufacturers of IIoT devices follow strict software security policies. If the companies fail to secure their devices, it can put cobots at cybersecurity risk.

  • Industrial Intelligence

Cyber intelligence focusing on private and public targets poses significant cyber security threats. Securing the company’s corporate research, financial status, new goods, and data is essential. Losing control over these data can have serious consequences.

Direct cyberattacks, USB drives, malware- and virus-infected websites, and phishing emails are all possible entry points for cyber intelligence. Such attacks aim to collect crucial data, which may include information that travels between cobot and other firm sources, whether mainstream systems or individuals.

Cyber spies will likely gather important data regarding prototypes or product specifications by gaining access to such information.

  • Cybercrime; Hostage or malware situations

Cyber intelligence could lead to crimes, such as malware, that target computers in an organization.

Malware can replicate and spread to other systems. When the cobot connect to a vulnerable system, whether for program modification or other maintenance-related duties, it becomes vulnerable to infection. If the virus is designed to control the security exposure of the unpatched cobots, it eventually puts itself in danger.

There are two specific categories of cyber danger that can harm cobots. The first focuses on destroying specific software or cobot brands. It targets a specific vulnerability, gains access, and corrupts the gadget processes. The second type is automated assaults against common base system vulnerabilities.

It has the potential to affect collaborative robots and other industrial automation systems. These attacks can have a wide range of consequences, including the complete shutdown of the facility, and the recovery procedure can be costly and time-consuming.


Metaverse Role in Shaping the Digital World

The Metaverse is a virtual space developed by the fusion of virtually enhanced physical and digital reality. The Metaverse has numerous applications, such as military, gaming, healthcare, real estate, education, etc. It is a virtual economy that operates independently and is supported by digital money and nonfungible tokens (NFTs). The metaverse market size in 2022 was USD 47.48 billion in 2022, and by 2030 it is predicted to reach USD 678.80 billion at a CAGR of 39.44%.

The rise in interest in using the Internet to integrate the physical and digital worlds, the popularity of mixed reality (MR), augmented reality (AR), and virtual reality (VR), the COVID-19 outbreak, and the developments that follow and outcomes of the situation are some of the key factors anticipated to drive the revenue growth.

Top metaverse technologies

  • Virtual reality, augmented reality, artificial intelligence, machine learning, blockchain, an AR cloud, the Internet of Things (IoT), spatial technologies, head-mounted displays (HMDs), and 3D reconstruction must all work together to make a metaverse function. The Metaverse will also require the support of software tools, apps, platforms, hardware, and user-generated content in addition to these cutting-edge technologies.
  • Blockchain will verify data storage, credibility, and value transfer within a metaverse; AR will allow for real-time interaction and the fusion of the virtual and physical worlds, and VR will give users a sensory experience similar to that of physical reality. However, VR implementation only needs more expensive hardware like multi-modal screens and HMDs, and AR implementation only needs a camera-enabled device. The extended reality, also known as AR+VR, is a popular term for the AR+VR combination that metaverse technology is more likely to use (XR). Limitless interactions and seamless data integrations will be made possible by the integration of AI, machine learning, and IoT.
  • A digital ecosystem that resembles the real world is formed due to the realistic and natural-looking virtual spaces made possible by 3D reconstruction. Accurate models of objects, structures, and actual locations can be rendered with the help of specialized 3D cameras. The users can then experience a virtual replica of the real physical world created by computers using the captured 4K HD photos and 3D spatial data.

Current scenario of metaverse implementation

There are currently several distinct metaverses with a variety of features. The gaming industry currently offers the most similar experience to the metaverse experience.

  • In 2017, a startup called Decentraland developed a distinctive virtual world for visitors to its website. This virtual world has its currency and economy. It combines social components with cryptocurrency, virtual currency, and NFTs (representing cosmetic collectibles). This blockchain game’s players actively take part in platform governance.
  • In 2016, Microsoft released the HoloLens Mixed Reality smart glasses; Roblox, a video game, also offers non-gaming services like online gatherings and concerts; Facebook is currently developing a social platform that uses virtual reality. 
  • The Unity-developed Furioos platform streams fully interactive 3D environments in real-time. Here, the environments are rendered by the self-scaling GPU server infrastructure of Unity. A virtual 3D ecosystem is provided by SecondLife and is used for learning, networking, and business. Additionally, this Metaverse offers an NFT marketplace where collectibles can be traded.

Metaverse future

The Metaverse is anticipated to bring all-immersive virtual ecosystems under one roof soon. For instance, a user working from home can play a blockchain-powered game after work and conduct a Mixed Reality meeting using an Oculus VR headset. In the same Metaverse, users can then manage their finances and portfolio.

The Metaverse will not limit virtual gaming and social media platforms. The use of VR glasses and headsets is anticipated to soon lead to the metaverses becoming more multi-dimensional. Users of these VR devices can explore 3D spaces by strolling through real-world physical spaces. Metaverses have the potential to enable decentralized governance, the creation of a person’s digital identity, remote workstations for employees, etc.

The challenge related to Metaverse

Controlling user and business privacy and verifying the identity of people moving around the virtual world as digital avatars pose the biggest challenges. As a result, scammers or even bots can use the persona of another user to explore the Metaverse or harm the reputation of corporate brands. Additionally, using AR and VR while the camera is on can result in data breaches involving personal data.


The Metaverse is a collective virtual, open space developed by integrating virtually enhanced digital, and The Metaverse is a collective, virtual, open space created by fusing virtually enhanced physical reality with digital reality. It is renowned for providing users with immersive experiences. Although this idea is still in its infancy and has a long way to go before becoming stable, it has the power to completely alter the AR/VR experience. Several major players, including Facebook, are making significant investments to make this idea successful in the upcoming years. Decentralized, persistent, interoperable, and collaborative business opportunities and models are anticipated to be made available by the Metaverse, assisting organizations in taking digital business to new levels.



Role of ERP Software in Manufacturing Industry

ERP software is used to manage daily activities such as procurement, risk management, accounting, supply chain operations, and project management. It is a platform that provides a wide range of business functions such as financial management, human capital management, supply chain management, customer management, inventory and work order management, and so on. ERP software implementation in organizations can reduce inventory costs by 25% – 30% and raw material costs by around 15%. The software facilitates the flow of cross-functional information, improving productivity and decision-making. 

The global ERP software market was worth $50.44 billion in 2021 and is expected to be worth $117.68 billion by 2030, with a CAGR of 9.87% from 2021 to 2030.

An ERP system offers a standalone solution for manufacturing businesses, enabling information access about the company at any time and from a location without burdening internal resources. It has improved managerial abilities to manage product data from various angles.

Importance of ERP in a manufacturing industry

Real-time Information

Manufacturing ERP software automates all business operations and provides accurate, real-time data. ERP boosts efficiency and productivity by guiding users through complex processes, preventing data re-entry, and improving production, order completion, and delivery functions.


ERP software programs are dependable, adaptable, and customizable. They can be customized to meet the particular needs of a business and are not a one-size-fits-all solution. ERP systems can also change to meet the evolving requirements of a developing company.

Reduce cost

ERP software reduces administrative and operational costs by providing a single source of accurate, real-time data. It enables manufacturers to manage operations proactively, preventing disruptions and delays, breaking down information bottlenecks, and assisting users in making faster decisions.

 Key features of manufacturing ERP system

Manufacturing ERP systems provide a wide range of features to improve business functions.

  • Inventory Management

Effective inventory management is critical for manufacturing companies. Inventory management includes tracking inventory, product status, raw material management, purchase order tracking, finished goods, and overall control. Modern manufacturing ERP systems include methods for inventory management, just-in-time delivery, and material requirement planning (MRP), which aid in the efficient management of inventories. 

  • Compliance and risk management

To keep track of different compliance and regulations of business, ERP systems include software to manage risk and compliance. Today’s ERP systems are designed with compliance and regulation features to assist in the management of human resource regulations at every stage and information security.

  • Quality Control

Quality control is a set of standards that ensures that a manufactured product meets the organization’s quality goals. Quality is a critical success factor. The product had to be thoroughly examined and tested as part of quality assurance. ERP software aids in the tracking and monitoring of various quality management processes through alert mechanisms and monitoring at all levels.

  • Process automation

Technology makes it easier to automate everyday tasks, saving man-hours and virtually eliminating the possibility of human error. Complete process automation is provided by manufacturing ERP, which integrates a number of processes, including sales, purchase records, stock, human resources, and others. Automation saves time and allows organizations to access real-time data and exercise greater control.

  • Distribution and supply chain management

Distribution and supply chain management oversees various elements such as packaging, warehousing, logistics, point of sale, vendors, and suppliers for multi-store brands and retail chain businesses. An effective distribution and supply chain management process is crucial for a company to last and grow. 

  • Asset management

Good manufacturing ERP software includes an asset management module that controls physical assets and equipment of the factory. It helps businesses in lowering risk and expenses while boosting uptime and productivity.

  • Finance and Accounting

ERP systems for manufacturing provide complete management of the entire business. The finance and accounting module tracks all financial activity, documentation by integrating various reports and business intelligence tools. It makes it possible for a business to precisely track the procedure and formulate plans.

Future trends in ERP for manufacturing industries

Cloud Migration

Cloud migration is extremely beneficial to mid-sized businesses. Legacy systems and other ERP applications have high infrastructure and maintenance costs. Cloud ERP, on the other hand, can be used with any computer or laptop that has an internet connection. Many employees can use cloud software for a low and reasonable cost because it is subscription-based. This provides small businesses with additional benefits.

Artificial Intelligence

Artificial intelligence is one of the upcoming future ERP trends. Artificial intelligence algorithms are made to think and act like people, analyzing problems and making decisions. In the manufacturing industry, AI-enabled tools integrated with ERP applications help companies save time when analyzing large amounts of data. All of these tasks are handled by AI, which sends notifications via software resulting in a business process that is more streamlined and optimized.

Two Tier Systems

This kind of ERP is primarily utilized by mid-sized businesses as well as businesses with multiple locations. The first tier consists of the legacy system used by management to manage master data. All other subsidiaries use the second tier. The software in the second tier can be altered to meet the needs of various departments. The maintenance of master data is so important that there should be no duplication in the system. Due to a centralized database that completely ensures the correct data is on track, this type of ERP is growing in popularity.

Internet of Things (IoT)

The Internet of Things tracks real-time data about tools and vehicles when integrated via cloud-based ERP systems. To ensure efficiency, the tools and machines should be regularly maintained; by enabling sensor devices on tools that can immediately detect a defect and send a replacement request via ERP applications. ERP’s real-time data assists businesses in improving asset management, forecasting, real-time business insights, and so on.

Enterprise Resource Planning Software can help automate workflows, improve supply chain visibility, and facilitate broad communication. Manufacturing is a rapidly changing industry, and Companies that grasp top ERP systems for manufacturing can hold a significant position in the market.