By application, the packaging segment held the highest market share in 2023 and is expected to keep its dominance during the forecast period 2024-2033. Packaging drives the injection moulding market since it is widely used in a variety of sectors, including food, beverage, healthcare, and consumer products.

Browse the full “Injection Molding Market Size, Trends and Insights By Material (Plastics, Metals, Others), By Application (Packaging, Consumables & Electronics, Automotive & Transportation, Building & Construction, Medical, Others) and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033” Report at https://www.custommarketinsights.com/report/injection-molding-market/

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“AI is becoming increasingly important in mechanical engineering, not least because of the need to automate injection molding processes efficiently and flexibly despite ever smaller batch sizes and shorter product life cycles,” said Werner Faulhaber, Director of Research and Development at Arburg. “Application examples of AI include automatic programming of robotic systems, targeted malfunction remedying, and a spare parts system with ‘intelligent’ image processing. Arburg is working on making injection molding more intelligent, step by step — ensuring that the machine continuously learns, keeps itself stable, and can even optimize itself in the future.”

Geoff Giordano is a tech journalist with more than 30 years’ experience in all facets of publishing. He has reported extensively on the gamut of plastics manufacturing technologies and issues, including 3D printing materials and methods; injection, blow, micro and rotomolding; additives, colorants and nanomodifiers; blown and cast films; packaging; thermoforming; tooling; ancillary equipment; and the circular economy. Contact him at [email protected].

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“One of Arburg's medium-term goals is to develop a system for digital twins of customized injection molding machines. This will open up completely new possibilities for simulating the cycle and making energy predictions. In addition, 3D views and installation plans of the machine — stored in the arburgXworld customer portal and in the control system — support the operator,” said Faulhaber.

Wittmann Battenfeld, which has fully embraced Industry 4.0 connectivity across its portfolio of injection molding and auxiliary machines over the past several years, employs AI with its robots to monitor cycle times and control robots’ speeds outside the molding machine.

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Asia Pacific’s thriving manufacturing sector is powered by the existence of a wide range of sectors, including automotive, electronic devices, consumer products and packaging. These sectors rely extensively on injection moulding to produce a wide range of components and products, including sophisticated car parts and electronic housings.

Arburg forms flexible — and controllable — production systems by combining machines, automation, and proprietary IT solutions. The company’s Gestica control system, with its intelligent assistant functions, is integral to those systems. “All Kuka six-axis robots, for example, have been equipped with the new Gestica user interface as standard,” Faulhaber noted. “This simplifies programming, as well as the monitoring, storage, and evaluation of process data.”

The Industry 4.0 era of manufacturing depends so heavily on data-driven precision that artificial intelligence (AI) is playing an increasing role in harnessing that data to enhance the performance of machines — including injection molders.

April 23, 2024 13:30 ET | Source: Custom Market Insights Custom Market Insights Austin, TX, USA

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AI in manufacturing encompasses an array of technologies that allow machines to perform with intelligence that emulates that of humans. Machine learning and natural language processing help machines approximate the human capacity to learn, make judgments, and solve problems. Data-enhanced efficiency keeps processes moving faster and more cost-effectively.

Injection moulding is a high-volume production method for plastic components and products. It entails injecting molten material, usually thermoplastic polymers, into a mould cavity at high pressure.

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As AI and machine learning are further leveraged to improve injection molding operations, simply gathering data is not enough to optimize processes, Faulhaber cautioned. “You also need the process expertise and domain knowledge. In the future, the evaluation of many data directly in the control unit will offer further added value.”

Moreover, supporting government efforts and favourable regulatory policies aimed at fostering manufacturing and industrial growth have helped to grow the injection moulding market in the Asia Pacific region. These measures include incentives for foreign investment, infrastructure development, and talent building programmes, all of which help the injection moulding business prosper.

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Wittmann co-funded such an assessment program with Austria’s Montanuniversität Leoben university, “but we found that the time needed to make it workable for production had to be questioned because in addition to the long-term investigation of the process, you also need the manpower necessary to handle it.”

Several worldwide factors are influencing the injection molding market’s future trajectory. One noticeable trend is the growing need for sustainable and eco-friendly products and procedures, which is being driven by increased environmental awareness and laws.

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Arburg uses AI “to develop master models using experience and data collected over the years on process, material, and machinery,” Faulhaber continued. “The customer could then sharpen the provided master model ‘on edge’ and optimize their processes. The in-house development Gestica control system, the Arburg host computer system, and the arburgXworld customer portal give an advantage here.

Comparing AI and machine learning, Glueck said, “AI actually requires a much higher time investment and, correspondingly, a higher financial investment. A large number of parameters must be recorded from a running process and the relevant parameters are determined on the basis of the deviations. These are compared with measurement data of the product.”

The company’s machine-learning capabilities — HiQ Flow and CMS technology — will be on display at this year’s K show on Oct. 19 to 26 in Düsseldorf, Germany. The speed of ROI can be as short as a few cycles with HiQ Flow, and the software can often be retrofitted to older injection molding machines equipped with a B8 machine control. A CMS Pro version will be available at a later date.

Its features include great production efficiency, reproducibility, and the capacity to generate complicated geometries, making it one of the most preferred processes for producing plastic parts.

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Furthermore, the region’s fast growing middle-class population and rising disposable incomes have boosted demand for consumer items and automobiles, increasing the need for injection-moulded components. This rising consumer base has led firms to increase production capacity, driving up demand for injection moulding machines and services.

Another Wittmann feature, Eco-Vac conserves energy by setting a few parameters on the robot and allowing the robot to turn its vacuum circuits off and on. “The robot monitors the vacuum level of the circuit used for picking the part out of the mold. If the robot senses the vacuum has reduced to a level that it could drop the part before it is told to, the robot will turn the vacuum on until it reaches the safe level again, then shuts back off.” This feature cuts the amount of compressed air each robot uses “and could save customers hundreds of dollars a year per robot.”

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EVCO Plastics, located in De Forest, Wisconsin, is a well-known manufacturer of injection moulded plastics goods and services. Having a strong focus to quality, innovation, and client satisfaction, have proven a dependable partner for organizations looking for plastic options.

The Asia-Pacific region dominates the injection moulding market because of its strong production sector, cost-effectiveness, skilled labour pool, rising consumer demand, and supporting government policies that foster industry expansion and innovation.

Wittmann Battenfeld’s HiQ software can generally be retrofitted even to older injection molding machines equipped with a B8 machine control.

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(Please note that the sample of the Injection Molding report has been modified to include the COVID-19 impact study prior to delivery.)

“The technology draws new conclusions from current parameters and, thus, becomes increasingly intelligent as it monitors performance,” said Product Manager Christian Glueck. “We limit it to a methodical determination of parameters. Therefore, the time required to use the technology is minimal, as is the price.”

Furthermore, the Asia Pacific area provides a competitive edge in terms of cost-effectiveness and labour availability, making it a desirable location for industrial operations such as injection moulding. Lower labour costs, along with technological improvements, have resulted in the growing usage of automation and robots in injection moulding operations, hence increasing efficiency and lowering production costs.

Based on factors like changes in material, ambient temperature, machine wear, tool wear, and other influences, “AI can determine which machine parameters need to be changed so that the product can be produced within its quality tolerances. This can take months, as errors first must occur in order to learn from them.”

Furthermore, there is an increasing desire for product customization and personalization, which is driving the introduction of technologies such as 3D printing and digitalization in injection molding processes. Furthermore, there is a noticeable move towards durable and lightweight materials in industries including automotive and aircraft to increase fuel economy and performance.

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By material, the plastics segment held the highest market share in 2023 and is expected to keep its dominance during the forecast period 2024-2033. Plastics are the key material driving the injection moulding market because of their versatility, low cost, and wide range of applications in sectors like as automotive, packaging, electronics, and consumer products, resulting in strong demand for injection moulding services.

The competitive landscape includes key innovators, after market service providers, market giants as well as niche players are studied and analyzed extensively concerning their strengths, weaknesses as well as value addition prospects. In addition, this report covers key players profiling, market shares, mergers and acquisitions, consequent market fragmentation, new trends and dynamics in partnerships.

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The company’s Eco-Mode saves wear and tear on the robot by ensuring it does not run faster than necessary — ultimately saving maintenance and energy costs. Offered standard on many Wittmann robots, Eco-Mode “requires no special programming or interface with the IMM or operator/programmer,” said Jason Long, National Sales Manager for robots and automation for Wittmann USA. “All the end user has to do is tell the robot how many seconds it should get back over the IMM before the mold opens.”

To lessen the environmental effect of injection molding operations, manufacturers are progressively adding biodegradable and recyclable materials. Another trend is the use of modern technologies like automation, robots, and artificial intelligence to improve efficiency, accuracy, and productivity in industrial operations.

One application Arburg is working on is the automatic programming of its Multilift linear robotic systems. “The idea is that the operator simply enters the destination, as with a car navigation device, and the system automatically calculates the optimal route. For robotic systems, this means that the operator simply enters the desired start and end positions, and the control system takes care of the rest.”

“According to the latest research study, the demand of global Injection Molding Market size & share was valued at approximately USD 278.3 Billion in 2023 and is expected to reach USD 285.5 Billion in 2024 and is expected to reach a value of around USD 431.6 Billion by 2033, at a compound annual growth rate (CAGR) of about 5.1% during the forecast period 2024 to 2033.”

Austin, TX, USA, April 23, 2024 (GLOBE NEWSWIRE) -- Custom Market Insights has published a new research report titled “Injection Molding Market Size, Trends and Insights By Material (Plastics, Metals, Others), By Application (Packaging, Consumables & Electronics, Automotive & Transportation, Building & Construction, Medical, Others) and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033” in its research database.

By region, Injection Molding market is segmented into North America, Europe, Asia-Pacific, Latin America, the Middle East & Africa. The Asia-Pacific dominated the global Injection Molding market in 2023 with a market share of 44% and is expected to keep its dominance during the forecast period 2024-2033.

Injection moulding provides low-cost, customizable options for creating high-quality packaging components that satisfy varied market demands effectively.

CMI has comprehensively analyzed the Global Injection Molding market. The driving forces, restraints, challenges, opportunities, and key trends have been explained in depth to depict an in-depth scenario of the market. Segment wise market size and market share during the forecast period are duly addressed to portray the probable picture of this Global Injection Molding industry.

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By harnessing the reams of data produced in modern plastics processing facilities, artificial intelligence can improve machine performance.

CMI provides a one-stop solution for data collection to investment advice. The expert analysis of our company digs out essential factors that help to understand the significance and impact of market dynamics. The professional experts apply clients inside on the aspects such as strategies for future estimation fall, forecasting or opportunity to grow, and consumer survey.

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Thanks to the integrated arburgXworld Control FillAssist, Arburg’s Allrounder "knows" the molded part it is supposed to produce. One issue for the future is to ensure that the machine not only keeps itself stable, but also self-optimizes.

In conclusion, the Asia Pacific region’s robust manufacturing ecosystem, cost advantages, growing consumer demand, and supportive policies collectively underpin its significant contribution to driving the injection moulding market forward.

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