The global case packing machines market size is set to be valued at US$ 652.0 million in 2023, and is projected to reach US$ 879.0 million by 2033. Revenue is anticipated to expand at a CAGR of 3.0% over the forecast period 2023 to 2033.
The global case packing machines industry was valued at US$ 635.1 million at the end of 2022. It is anticipated to exhibit y-o-y growth of 2.7% in 2023. The snacks segment by end use accounted for more than 23% of market share in terms of value by the end of 2022 globally.
The side load segment with an estimated market share of more than 40% leads the case packing machines industry in the machine type category. It is expected to expand at a CAGR of over 2.7% in the review period. In terms of automation, the automatic segment is anticipated to create an incremental opportunity of US$ 228.8 million between 2023 and 2033.
During the anticipated time, there is a promising growth outlook for the case packing machines industry. This timeframe is expected to produce an excellent incremental growth opportunity of US$ 227.0 million and an expansion of 1.4 times the existing market value.
Globally, businesses are putting more effort into streamlining their production procedures to increase productivity and cut costs. Case packing machines are essential to this attempt. This is owing to their ability to streamline packaging processes, reduce need for human intervention, and optimize the entire production line.
For businesses aiming to strengthen their competitive edge, this increased effectiveness equates to higher productivity, cheaper labor, and increased productivity. This is further projected to help in rendering it an appealing investment.
Consumer preferences are evolving, which has an impact on the need for case packing machinery. There is an increasing need for packaging that maintains product integrity while reducing waste as consumers become more environmentally and health-conscious.
Case packing machines provide exact and uniform packaging, guaranteeing that goods are safely stored. These further help in lowering the possibility of damage, spoiling, or contamination. This might fall in line with the shifting customer desire for items that are high-quality, safe, and sustainable.
Regulated markets around the world are defined by high standards of quality. Case packing machines might help businesses comply with these laws by assuring consistent packaging, precise labeling, and adherence to safety rules. Case packing machines are being used more frequently as they can achieve these standards without sacrificing productivity.
Demand for uniform packaging increases as sectors develop and manufacturing networks become more intricate. Case packing machines guarantee package uniformity, simplifying the management of stock, transport, and marketing. This kind of consistency might improve brand reputation by ensuring that clients receive their items in a consistent and identifiable manner.
Case packing machines have also undergone changes as a result of technological advancement, increasing their adaptability to several sectors and product categories. These devices can be tailored to deal with an extensive selection of items and packaging styles.
From food and drinks to medicines and consumer goods, these machines are expected to be extensively utilized. As companies look for solutions that can meet their unique needs, that adaptability is a significant factor in their rising demand.
Attributes | Key Insights |
---|---|
Case Packing Machines Market Estimated Size (2023E) | US$ 652.0 million |
Projected Market Valuation (2033F) | US$ 879.0 million |
Value-based CAGR (2023 to 2033) | 3.0% |
Collective Value Share: Top 5 Companies (2022A) | 30% to 40% |
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The case packing machines market exhibited a CAGR of 2.2% during the historical period from 2018 to 2022. It stood at a market value of US$ 635.1 million in 2022 from US$ 581.2 million in 2018.
By automating the folding, packing, sealing, and taping processes for cardboard boxes, case packing technology improves a business's bottom line. To boost product output and distribute it to end users, manufacturing sectors mainly employ machines.
Leading players would concentrate on giving their clients products that are affordable for them when packaging diverse products and food items, as well as other vital goods. By automating the processes for cardboard boxes, case packing technology improves a business's bottom line.
Several food manufacturers and business units are investing strategically in cutting-edge technologies. Artificial intelligence, sophisticated software, and smart packaging are a handful of them.
Adoption of case packing equipment has increased dramatically over the years due to its ability to enhance the efficiency of packaging processes. It is also helpful to increase the productivity of a company.
It further allows end users to pack a large volume of cartons and cases quickly. It further reduces the demand for manual labor, thereby saving a huge sum of money and increasing the output. Automatizing packaging tasks might help end users to further minimize material wastage and improve profitability.
Companies have historically utilized package designs to promote brand values and catch customers' attention on crowded shelves, especially in the fast-moving food sector. The first time a buyer sees a product's packaging might be after they've made the initial purchase. As retail activity shifts online, they can only see product packaging at the time of delivery to their doorstep.
Incorporation of eye-catching graphics, logos, and product information on the cartons is made possible by case packing machines with innovative technologies. They might also help in increasing brand visibility. Case packing machine sales are expected to surge due to increasing adoption of innovative packaging solutions by manufacturers.
Manufacturers all around the world are working to increase cost effectiveness in addition to production and packaging process optimization. Manufacturers are being forced to maximize their end-of-line packing capacity due to the industrial sector's rapid development. Increasing demand across key businesses such as food & beverage is also projected to aid growth.
Manufacturing processes have seen a significant change in the quantity and quality of commodities produced during the last several decades. Additionally, producers are continuously working to meet high-quality requirements while providing a large quantity of items quickly.
Several sectors are investing in automatic case packing machines to increase their efficiency. Side load case packing machines have proved to increase production volume and capacity to a large scale by making the process completely automatic.
They might help in taking care of food safety and hygiene. Manufacturers are also saving on labor cost while automatizing the whole process and even strategizing the branding of cases. These factors are rapidly affecting growth in the market.
Modern case packing machines can handle a wide range of product sizes and packaging types. They provide producers more operational flexibility since they are simple to modify and can be ideal for several goods.
Sustainability is being considered in the development of case packing machinery. They can cut waste, reduce the environmental effect of packaging process, and maintain safety of products.
They also include eco-friendly materials and can optimize package designs. This has gained a lot of positive feedback from end users.
It has encouraged them to invest more in smart case packers that are being included into smart factories and industry 4.0 efforts. Manufacturers can monitor and improve their packaging operations in real-time. This might be possible due to these machines' sensors, IoT connection, and data analytics capabilities.
Country | United States |
---|---|
Market Share (2023) | 21.70% |
Market Share (2033) | 22.38% |
BPS Analysis | 70 |
Country | Brazil |
---|---|
Market Share (2023) | 3.64% |
Market Share (2033) | 1.93% |
BPS Analysis | -170 |
Country | China |
---|---|
Market Share (2023) | 4.51% |
Market Share (2033) | 4.44% |
BPS Analysis | -10 |
Country | Association of Southeast Asian Nations |
---|---|
Market Share (2023) | 1.59% |
Market Share (2033) | 1.80% |
BPS Analysis | 20 |
Country | Germany |
---|---|
Market Share (2023) | 6.05% |
Market Share (2033) | 6.36% |
BPS Analysis | 30 |
Country | United Kingdom |
---|---|
Market Share (2023) | 5.19% |
Market Share (2033) | 5.36% |
BPS Analysis | 20 |
India has shown immense growth opportunities for automatic case packers due to surging demand for packed food products. Entry of new international and domestic manufacturers offering great deals and advantages might also aid demand.
Apart from being one of the most populous nations on earth, India also boasts a relatively young population. Rapidly expanding middle class, rising earnings, and ongoing urbanization are all significantly altering consumer behavior.
It is anticipated to create great opportunities for case packing machines in end of line packaging. India case packing machines market is anticipated to offer an incremental opportunity of US$ 13.5 million over the evaluation period.
One of the most populated countries such as China is implementing cost-effective case packing machines for the packing of food products. Change in food consumption habits such as growing use of ready-to-eat meals in this country might further create growth opportunities.
It is expected that China will soon overtake the United States market in terms of packaging. The case packing machines industry is seeing tremendous growth due to China's expanding population, more smaller families, greater purchasing power, and rising health consciousness.
The market has also been significantly impacted by ongoing shift in consumer behavior. China is estimated to provide an incremental opportunity of US$ 10.4 million by 2033.
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Food manufacturers might increase packaging production with the use of side load case packaging equipment. They are divided into groups based on how the cases are handled and where the substance is injected.
Leading food producers are swiftly employing side load machines to boost productivity in production. They are also integrating the erecting, as well as filling and sealing steps of the end line process all simultaneously, which will save a ton of time.
The side load machine segment is estimated to hold a prominent case packing machines market share. It is expected to offer an incremental opportunity of US$ 88.7 million during the forecast period.
Compared to semi-automatic devices, automated case packers are built to handle a bigger number of items at a much faster rate. Owing to the much faster output rate due to larger throughput, it is better suited for large-scale industrial operations.
They also employ precise robotic or mechanical methods to pack goods uniformly and precisely, minimizing the possibility of mistakes and irregularities. Hence, the automatic segment is further estimated to expand over the forecast period. It is likely to hold 92.1% of the market share in 2033, creating an incremental opportunity worth US$ 228.8 million.
Case packing machine manufacturers are investing in research & development to come up with advanced machines with improved capabilities. This includes integrating automation, robotics, and artificial intelligence to enhance efficiency, accuracy, and adaptability. Smart features, predictive maintenance, and real-time monitoring are becoming standard offerings.
In response to growing environmental concerns, several manufacturers are designing case packing machines that promote sustainable packaging practices. This might involve using eco-friendly materials, optimizing packaging designs to reduce waste, and incorporating energy-efficient technologies. These might help to minimize the machine's environmental footprint.
Case packing machine providers are also collaborating with other players in the packaging sector such as material suppliers, software developers, and automation experts. These partnerships might enable them to offer comprehensive solutions that address diverse aspects of the packaging process.
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Attribute | Details |
---|---|
Estimated Market Size (2023) | US$ 652.0 million |
Projected Market Valuation (2033) | US$ 879.0 million |
Value-based CAGR (2023 to 2033) | 3.0% |
Historical Data | 2018 to 2022 |
Forecast Period | 2023 to 2033 |
Quantitative Units | Value (US$ million) |
Segments Covered | Machine Type, Automation, Capacity, End Use, Region |
Key Countries Covered | United States, Canada, Brazil, Mexico, Germany, Italy, France, United Kingdom, Spain, Russia, GCC Countries, China, India, Australia |
Key Companies Profiled | BluePrint Automation; Mpack Group; Douglas Machine Inc.; Delkor Systems, Inc.; IMA Group; FOCKE & CO; Ishida Europe Ltd; Somic Packaging; Case Packing Systems BV (Xano Group); Brenton, LLC; ABRIGO SPA.; Cama Group; Fallas Automation; Clearpack; SERPA PACKAGING SOLUTIONS (ProMach); A+F Automation + Fördertechnik GmbH - EOL Group; Aagard Group |
Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis |
The market is anticipated to reach US$ 652.0 million in 2023.
The market valuation is expected to reach US$ 879.0 million in 2033.
The projected CAGR for the market from 2023 to 2033 is 3.0%.
The snacks segment is expected to garner a significant share by 2023.
The market witnessed a CAGR of 2.2% from 2018 to 2022.
India market is projected to create an opportunity of US$ 13.5 million by 2033.
1. Executive Summary 1.1. Global Market Outlook 1.2. Market Analysis 1.3. Future Market Insights (FMI) Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Key Market Trends 3.1. Key Trends Impacting the Market 3.2. Sustainable Trends 3.3. Start-up Trends 3.4. Product Innovation / Development Trends 4. Key Success Factors 4.1. Product Adoption / Usage Analysis 4.2. Product USPs / Features 4.3. Strategic Promotional Strategies 4.4. Go-to-market Strategies 5. PESTLE and Porter 5 Force Analysis 6. Global Market Demand Analysis 2018 to 2022 and Forecast, 2023 to 2033 6.1. Historical Market Volume (Units) Analysis, 2018 to 2022 6.2. Current and Future Market Volume (Units) Projections, 2023 to 2033 6.3. Y-o-Y Growth Trend Analysis 7. Global Market - Pricing Analysis 7.1. Average Selling Price, By Product (US$/ Unit) 7.2. Regional Pricing Analysis 7.3. Global Average Pricing Analysis Benchmark 8. Global Market Demand (in Value or Capacity in US$ million) Analysis 2018 to 2022 and Forecast, 2023 to 2033 8.1. Historical Market Value (US$ million) Analysis, 2018 to 2022 8.2. Current and Future Market Value (US$ million) Projections, 2023 to 2033 8.2.1. Y-o-Y Growth Trend Analysis 8.2.2. Absolute $ Opportunity Analysis 9. Market Background 9.1. Global Packaging Market Overview 9.2. Global Robotic Packaging Market Overview 9.3. Key Regulations in Market 9.4. Forecast Factors - Relevance & Impact 9.5. Who Supplies to Whom? 9.6. Value Chain Analysis 9.6.1. Exhaustive List of Raw Product Suppliers 9.6.2. Exhaustive List of Manufacturers/ Converters 9.6.3. Exhaustive List of End Users / Brands (Potential Customers) 9.7. Case-based Scenario – Impact Assessment 9.7.1. Current Statistics 9.7.2. Short-Mid-Long Term Outlook 9.7.3. Likely Rebound 9.8. Market Dynamics 9.8.1. Drivers 9.8.2. Restraints 9.8.3. Opportunity Analysis 9.9. Supply Demand Analysis 9.9.1. Export 9.9.2. Import 9.9.3. Production 10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Machine Type 10.1. Introduction / Key Findings 10.2. Historical Market Capacity (US$ million) and Volume (Units) Analysis, By Machine Type, 2018 to 2022 10.3. Current and Future Market Capacity (US$ million) and Volume (Units) Analysis and Forecast, By Machine Type, 2023 to 2033 10.3.1. Top Load 10.3.2. Side Load 10.3.3. Wrap Around 10.4. Market Attractiveness Analysis, By Machine Type 11. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Automation 11.1. Introduction / Key Findings 11.2. Historical Market Capacity (US$ million) and Volume (Units) Analysis, By Automation, 2018 to 2022 11.3. Current and Future Market Capacity (US$ million) and Volume (Units) Analysis and Forecast, By Automation, 2023 to 2033 11.3.1. Semi-automatic 11.3.2. Automatic 11.4. Market Attractiveness Analysis, By Automation 12. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Capacity 12.1. Introduction / Key Findings 12.2. Historical Market Capacity (US$ million) and Volume (Units) Analysis, By Capacity, 2018 to 2022 12.3. Current and Future Market Capacity (US$ million) and Volume (Units) Analysis and Forecast, By Capacity, 2023 to 2033 12.3.1. Less than 10 CPM 12.3.2. 10 to 25 CPM 12.3.3. 25 to 50 CPM 12.3.4. 50 to 100 CPM 12.4. Market Attractiveness Analysis, By Capacity 13. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End Use 13.1. Introduction / Key Findings 13.2. Historical Market Capacity (US$ million) and Volume (Units) Analysis, By End Use, 2018 to 2022 13.3. Current and Future Market Capacity (US$ million) and Volume (Units) Analysis and Forecast, By End Use, 2023 to 2033 13.3.1. Snacks 13.3.2. Potato Chips 13.3.3. Tortilla Chips 13.3.4. Extruded Snacks 13.3.5. Nuts & Seeds 13.3.6. Dried Fruits 13.3.7. Others 13.3.8. Frozen Food 13.3.9. Potato Product IQF 13.3.10. Fruit and Vegetables IQF 13.3.11. Middle East and Africat and Protein IQF 13.3.12. Fresh & Chilled Food 13.3.13. Leaf salad 13.3.14. Confectionery 13.3.15. Jelly 13.3.16. Wrapped Confectionery 13.3.17. Other Confectionary 13.3.18. Chocolate & bars 13.3.19. Chocolate Lentils 13.3.20. Wrapped Chocolate 13.3.21. Cereals 13.3.22. Extruded Cereals 13.3.23. Flakes 13.3.24. Muesli 13.3.25. Bakery 13.3.26. Cake 13.3.27. Bread 13.3.28. Frozen Bakery 13.3.29. Cookies 13.3.30. Biscuits 13.3.31. Crackers 13.3.32. Powder 13.3.33. Infant Nutrition 13.3.34. Instant Drinks 13.3.35. Other Food Powder 13.3.36. Coffee & Tea 13.3.37. Ground Coffee 13.3.38. Whole Bean Coffee 13.3.39. Coffee Pods 13.3.40. Pet Food 13.3.41. Dry Pet Food 13.3.42. Wet Pet Food 13.3.43. Dairy Products 13.3.44. Cheese 13.3.45. Yogurt 13.3.46. Puddings 13.3.47. Other Food 13.3.48. Pasta 13.3.49. Rice 13.3.50. Beans and Lentils 13.3.51. Salt 13.3.52. Sugar 13.3.53. Herbs & Spices 13.4. Market Attractiveness Analysis, By End Use 14. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Region 14.1. Introduction / Key Findings 14.2. Historical Market Capacity (US$ million) and Volume (Units) Analysis, By Region, 2018 to 2022 14.3. Current and Future Market Capacity (US$ million) and Volume (Units) Analysis and Forecast, By Region, 2023 to 2033 14.3.1. North America 14.3.2. Latin America 14.3.3. East Asia 14.3.4. South Asia & Pacific 14.3.5. Western Europe 14.3.6. Eastern Europe 14.3.7. Central Asia 14.3.8. Russia & Belarus 14.3.9. Balkan & Baltic Countries 14.3.10. Middle East and Africa 14.4. Market Attractiveness Analysis, By Region 15. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033 15.1. Introduction / Key Findings 15.2. Historical Market Capacity (US$ million) and Volume (Units) Analysis by Market Taxonomy, 2018 to 2022 15.3. Current Market Capacity (US$ million) and Volume (Units) Analysis and Forecast by Market Taxonomy, 2023 to 2033 15.3.1. By Country 15.3.1.1. United States 15.3.1.2. Canada 15.3.2. By Automation 15.3.3. By Machine Type 15.3.4. By Capacity 15.3.5. By End Use 15.4. Market Attractiveness Analysis 15.4.1. By Country 15.4.2. By Automation 15.4.3. By Machine Type 15.4.4. By Capacity 15.4.5. By End Use 15.5. Cross Section Analysis by Segments 16. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033 16.1. Introduction / Key Findings 16.2. Historical Market Capacity (US$ million) and Volume (Units) Analysis by Market Taxonomy, 2018 to 2022 16.3. Current Market Capacity (US$ million) and Volume (Units) Analysis and Forecast by Market Taxonomy, 2023 to 2033 16.3.1. By Country 16.3.1.1. Brazil 16.3.1.2. Mexico 16.3.1.3. Argentina 16.3.1.4. Rest of Latin America 16.3.2. By Automation 16.3.3. By Machine Type 16.3.4. By Capacity 16.3.5. By End Use 16.4. Market Attractiveness Analysis 16.4.1. By Country 16.4.2. By Automation 16.4.3. By Machine Type 16.4.4. By Capacity 16.4.5. By End Use 16.5. Cross Section Analysis by Segments 17. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033 17.1. Introduction / Key Findings 17.2. Historical Market Capacity (US$ million) and Volume (Units) Analysis by Market Taxonomy, 2018 to 2022 17.3. Current Market Capacity (US$ million) and Volume (Units) Analysis and Forecast by Market Taxonomy, 2023 to 2033 17.3.1. By Country 17.3.1.1. China 17.3.1.2. Japan 17.3.1.3. South Korea 17.3.2. By Automation 17.3.3. By Machine Type 17.3.4. By Capacity 17.3.5. By End Use 17.4. Market Attractiveness Analysis 17.4.1. By Country 17.4.2. By Automation 17.4.3. By Machine Type 17.4.4. By Capacity 17.4.5. By End Use 17.5. Cross Section Analysis by Segments 18. South Asia & Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033 18.1. Introduction / Key Findings 18.2. Historical Market Capacity (US$ million) and Volume (Units) Analysis by Market Taxonomy, 2018 to 2022 18.3. Current Market Capacity (US$ million) and Volume (Units) Analysis and Forecast by Market Taxonomy, 2023 to 2033 18.3.1. By Country 18.3.1.1. India 18.3.1.2. Association of Southeast Asian Nations 18.3.1.3. Australia & New Zealand 18.3.1.4. Rest of South Asia and Pacific 18.3.2. By Automation 18.3.3. By Machine Type 18.3.4. By Capacity 18.3.5. By End Use 18.4. Market Attractiveness Analysis 18.4.1. By Country 18.4.2. By Automation 18.4.3. By Machine Type 18.4.4. By Capacity 18.4.5. By End Use 18.5. Cross Section Analysis by Segments 19. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033 19.1. Introduction / Key Findings 19.2. Historical Market Capacity (US$ million) and Volume (Units) Analysis by Market Taxonomy, 2018 to 2022 19.3. Current Market Capacity (US$ million) and Volume (Units) Analysis and Forecast by Market Taxonomy, 2023 to 2033 19.3.1. By Country 19.3.1.1. Germany 19.3.1.2. France 19.3.1.3. Spain 19.3.1.4. Italy 19.3.1.5. United Kingdom 19.3.1.6. BENELUX 19.3.1.7. Nordics 19.3.1.8. Rest of Western Europe 19.3.2. By Automation 19.3.3. By Machine Type 19.3.4. By Capacity 19.3.5. By End Use 19.4. Market Attractiveness Analysis 19.4.1. By Country 19.4.2. By Automation 19.4.3. By Machine Type 19.4.4. By Capacity 19.4.5. By End Use 19.5. Cross Section Analysis by Segments 20. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033 20.1. Introduction / Key Findings 20.2. Historical Market Capacity (US$ million) and Volume (Units) Analysis by Market Taxonomy, 2018 to 2022 20.3. Current Market Capacity (US$ million) and Volume (Units) Analysis and Forecast by Market Taxonomy, 2023 to 2033 20.3.1. By Country 20.3.1.1. Poland 20.3.1.2. Hungary 20.3.1.3. Austria 20.3.1.4. Czech Republic 20.3.1.5. Rest of Eastern Europe 20.3.2. By Automation 20.3.3. By Machine Type 20.3.4. By Capacity 20.3.5. By End Use 20.4. Market Attractiveness Analysis 20.4.1. By Country 20.4.2. By Automation 20.4.3. By Machine Type 20.4.4. By Capacity 20.4.5. By End Use 20.5. Cross Section Analysis by Segments 21. Central Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033 21.1. Introduction / Key Findings 21.2. Historical Market Capacity (US$ million) and Volume (Units) Analysis by Market Taxonomy, 2018 to 2022 21.3. Current Market Capacity (US$ million) and Volume (Units) Analysis and Forecast by Market Taxonomy, 2023 to 2033 21.3.1. By Country 21.3.1.1. Kazakhstan 21.3.1.2. Kyrgyzstan 21.3.1.3. Tajikistan 21.3.1.4. Turkmenistan 21.3.1.5. Uzbekistan 21.3.2. By Automation 21.3.3. By Machine Type 21.3.4. By Capacity 21.3.5. By End Use 21.4. Market Attractiveness Analysis 21.4.1. By Country 21.4.2. By Automation 21.4.3. By Machine Type 21.4.4. By Capacity 21.4.5. By End Use 21.5. Cross Section Analysis by Segments 22. Russia & Belarus Market Analysis 2018 to 2022 and Forecast 2023 to 2033 22.1. Introduction / Key Findings 22.2. Historical Market Capacity (US$ million) and Volume (Units) Analysis by Market Taxonomy, 2018 to 2022 22.3. Current Market Capacity (US$ million) and Volume (Units) Analysis and Forecast by Market Taxonomy, 2023 to 2033 22.3.1. By Country 22.3.1.1. Russia 22.3.1.2. Belarus 22.3.2. By Automation 22.3.3. By Machine Type 22.3.4. By Capacity 22.3.5. By End Use 22.4. Market Attractiveness Analysis 22.4.1. By Country 22.4.2. By Automation 22.4.3. By Machine Type 22.4.4. By Capacity 22.4.5. By End Use 22.5. Cross Section Analysis by Segments 23. Balkan & Baltic Countries Market Analysis 2018 to 2022 and Forecast 2023 to 2033 23.1. Introduction / Key Findings 23.2. Historical Market Capacity (US$ million) and Volume (Units) Analysis by Market Taxonomy, 2018 to 2022 23.3. Current Market Capacity (US$ million) and Volume (Units) Analysis and Forecast by Market Taxonomy, 2023 to 2033 23.3.1. By Country 23.3.1.1. Romania 23.3.1.2. Greece 23.3.1.3. Bulgaria 23.3.1.4. Lithuania 23.3.1.5. Estonia 23.3.1.6. Latvia 23.3.2. By Automation 23.3.3. By Machine Type 23.3.4. By Capacity 23.3.5. By End Use 23.4. Market Attractiveness Analysis 23.4.1. By Country 23.4.2. By Automation 23.4.3. By Machine Type 23.4.4. By Capacity 23.4.5. By End Use 23.5. Cross Section Analysis by Segments 24. Middle East & Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033 24.1. Introduction / Key Findings 24.2. Historical Market Capacity (US$ million) and Volume (Units) Analysis by Market Taxonomy, 2018 to 2022 24.3. Current Market Capacity (US$ million) and Volume (Units) Analysis and Forecast by Market Taxonomy, 2023 to 2033 24.3.1. By Country 24.3.1.1. GCC Countries 24.3.1.2. Türkiye 24.3.1.3. Northern Africa 24.3.1.4. South Africa 24.3.1.5. Israel 24.3.2. By Automation 24.3.3. By Machine Type 24.3.4. By Capacity 24.3.5. By End Use 24.4. Market Attractiveness Analysis 24.4.1. By Country 24.4.2. By Automation 24.4.3. By Machine Type 24.4.4. By Capacity 24.4.5. By End Use 24.5. Cross Section Analysis by Segments 25. Country wise Market Analysis 2023 & 2033 25.1. Pricing Analysts 25.2. Cross Section Analysis 25.3. United States Market Analysis 25.3.1. By Automation 25.3.2. By Machine Type 25.3.3. By Capacity 25.3.4. By End Use 25.4. Canada Market Analysis 25.4.1. By Automation 25.4.2. By Machine Type 25.4.3. By Capacity 25.4.4. By End Use 25.5. Brazil Market Analysis 25.5.1. By Automation 25.5.2. By Machine Type 25.5.3. By Capacity 25.5.4. By End Use 25.6. Mexico Market Analysis 25.6.1. By Automation 25.6.2. By Machine Type 25.6.3. By Capacity 25.6.4. By End Use 25.7. Germany Market Analysis 25.7.1. By Automation 25.7.2. By Machine Type 25.7.3. By Capacity 25.7.4. By End Use 25.8. United Kingdom Market Analysis 25.8.1. By Automation 25.8.2. By Machine Type 25.8.3. By Capacity 25.8.4. By End Use 25.9. Spain Market Analysis 25.9.1. By Automation 25.9.2. By Machine Type 25.9.3. By Capacity 25.9.4. By End Use 25.9.5. France Market Analysis 25.9.6. By Automation 25.9.7. By Machine Type 25.9.8. By Capacity 25.9.9. By End Use 25.10. Italy Market Analysis 25.10.1. By Automation 25.10.2. By Machine Type 25.10.3. By Capacity 25.10.4. By End Use 25.11. China Market Analysis 25.11.1. By Automation 25.11.2. By Machine Type 25.11.3. By Capacity 25.11.4. By End Use 25.12. Japan Market Analysis 25.12.1. By Automation 25.12.2. By Machine Type 25.12.3. By Capacity 25.12.4. By End Use 25.13. India Market Analysis 25.13.1. By Automation 25.13.2. By Machine Type 25.13.3. By Capacity 25.13.4. By End Use 25.14. Australia Market Analysis 25.14.1. By Automation 25.14.2. By Machine Type 25.14.3. By Capacity 25.14.4. By End Use 25.15. GCC Countries Market Analysis 25.15.1. By Automation 25.15.2. By Machine Type 25.15.3. By Capacity 25.15.4. By End Use 25.16. South Africa Market Analysis 25.16.1. By Automation 25.16.2. By Machine Type 25.16.3. By Capacity 25.16.4. By End Use 26. Market Structure Analysis 26.1. Market Analysis by Tier of Companies 26.2. Market Share Analysis of Top Players 26.3. Market Presence Analysis 27. Competition Analysis 27.1. Competition Dashboard 27.2. Competition Benchmarking 27.3. Competition Deep Dive/ Portfolio Analysis(Key Global Market Players) 27.3.1. BluePrint Automation 27.3.1.1. Overview 27.3.1.2. Product Portfolio 27.3.1.3. Profitability by Market Segments (Product/Channel/Region) 27.3.1.4. Sales Footprint 27.3.1.5. Strategy Overview 27.3.2. Mpack Group 27.3.2.1. Overview 27.3.2.2. Product Portfolio 27.3.2.3. Profitability by Market Segments (Product/Channel/Region) 27.3.2.4. Sales Footprint 27.3.2.5. Strategy Overview 27.3.3. Douglas Machine Inc. 27.3.3.1. Overview 27.3.3.2. Product Portfolio 27.3.3.3. Profitability by Market Segments (Product/Channel/Region) 27.3.3.4. Sales Footprint 27.3.3.5. Strategy Overview 27.3.4. Delkor Systems, Inc. 27.3.4.1. Overview 27.3.4.2. Product Portfolio 27.3.4.3. Profitability by Market Segments (Product/Channel/Region) 27.3.4.4. Sales Footprint 27.3.4.5. Strategy Overview 27.3.5. IMA Group 27.3.5.1. Overview 27.3.5.2. Product Portfolio 27.3.5.3. Profitability by Market Segments (Product/Channel/Region) 27.3.5.4. Sales Footprint 27.3.5.5. Strategy Overview 27.3.6. FOCKE & CO 27.3.6.1. Overview 27.3.6.2. Product Portfolio 27.3.6.3. Profitability by Market Segments (Product/Channel/Region) 27.3.6.4. Sales Footprint 27.3.6.5. Strategy Overview 27.3.7. Ishida Europe Ltd 27.3.7.1. Overview 27.3.7.2. Product Portfolio 27.3.7.3. Profitability by Market Segments (Product/Channel/Region) 27.3.7.4. Sales Footprint 27.3.7.5. Strategy Overview 27.3.8. Somic Packaging 27.3.8.1. Overview 27.3.8.2. Product Portfolio 27.3.8.3. Profitability by Market Segments (Product/Channel/Region) 27.3.8.4. Sales Footprint 27.3.8.5. Strategy Overview 27.3.9. Case Packing Systems BV (Xano Group) 27.3.9.1. Overview 27.3.9.2. Product Portfolio 27.3.9.3. Profitability by Market Segments (Product/Channel/Region) 27.3.9.4. Sales Footprint 27.3.9.5. Strategy Overview 27.3.10. Brenton, LLC 27.3.10.1. Overview 27.3.10.2. Product Portfolio 27.3.10.3. Profitability by Market Segments (Product/Channel/Region) 27.3.10.4. Sales Footprint 27.3.10.5. Strategy Overview 27.3.11. ABRIGO SPA. 27.3.11.1. Overview 27.3.11.2. Product Portfolio 27.3.11.3. Profitability by Market Segments (Product/Channel/Region) 27.3.11.4. Sales Footprint 27.3.11.5. Strategy Overview 27.3.12. Cama Group 27.3.12.1. Overview 27.3.12.2. Product Portfolio 27.3.12.3. Profitability by Market Segments (Product/Channel/Region) 27.3.12.4. Sales Footprint 27.3.12.5. Strategy Overview 27.3.13. Fallas Automation 27.3.13.1. Overview 27.3.13.2. Product Portfolio 27.3.13.3. Profitability by Market Segments (Product/Channel/Region) 27.3.13.4. Sales Footprint 27.3.13.5. Strategy Overview 27.3.14. Clearpack 27.3.14.1. Overview 27.3.14.2. Product Portfolio 27.3.14.3. Profitability by Market Segments (Product/Channel/Region) 27.3.14.4. Sales Footprint 27.3.14.5. Strategy Overview 27.3.15. SERPA PACKAGING SOLUTIONS (ProMach) 27.3.15.1. Overview 27.3.15.2. Product Portfolio 27.3.15.3. Profitability by Market Segments (Product/Channel/Region) 27.3.15.4. Sales Footprint 27.3.15.5. Strategy Overview 27.3.16. A+F Automation + Fördertechnik GmbH -EOL Group 27.3.16.1. Overview 27.3.16.2. Product Portfolio 27.3.16.3. Profitability by Market Segments (Product/Channel/Region) 27.3.16.4. Sales Footprint 27.3.16.5. Strategy Overview 27.3.17. Aagard Group 27.3.17.1. Overview 27.3.17.2. Product Portfolio 27.3.17.3. Profitability by Market Segments (Product/Channel/Region) 27.3.17.4. Sales Footprint 27.3.17.5. Strategy Overview 27.3.18. ETT VERPACKUNGSTECHNIK GMBH 27.3.18.1. Overview 27.3.18.2. Product Portfolio 27.3.18.3. Profitability by Market Segments (Product/Channel/Region) 27.3.18.4. Sales Footprint 27.3.18.5. Strategy Overview 27.3.19. Premier Tech Ltd 27.3.19.1. Overview 27.3.19.2. Product Portfolio 27.3.19.3. Profitability by Market Segments (Product/Channel/Region) 27.3.19.4. Sales Footprint 27.3.19.5. Strategy Overview 27.3.20. JOCHAMP 27.3.20.1. Overview 27.3.20.2. Product Portfolio 27.3.20.3. Profitability by Market Segments (Product/Channel/Region) 27.3.20.4. Sales Footprint 27.3.20.5. Strategy Overview 27.3.21. Omori Machinery Co., Ltd. 27.3.21.1. Overview 27.3.21.2. Product Portfolio 27.3.21.3. Profitability by Market Segments (Product/Channel/Region) 27.3.21.4. Sales Footprint 27.3.21.5. Strategy Overview 27.3.22. DIENST Packsystems GmbH (POLAR Group) 27.3.22.1. Overview 27.3.22.2. Product Portfolio 27.3.22.3. Profitability by Market Segments (Product/Channel/Region) 27.3.22.4. Sales Footprint 27.3.22.5. Strategy Overview 27.3.23. HMPS 27.3.23.1. Overview 27.3.23.2. Product Portfolio 27.3.23.3. Profitability by Market Segments (Product/Channel/Region) 27.3.23.4. Sales Footprint 27.3.23.5. Strategy Overview 27.3.24. ADCO Manufacturing 27.3.24.1. Overview 27.3.24.2. Product Portfolio 27.3.24.3. Profitability by Market Segments (Product/Channel/Region) 27.3.24.4. Sales Footprint 27.3.24.5. Strategy Overview 27.3.25. ECONO-PAK 27.3.25.1. Overview 27.3.25.2. Product Portfolio 27.3.25.3. Profitability by Market Segments (Product/Channel/Region) 27.3.25.4. Sales Footprint 27.3.25.5. Strategy Overview 27.3.26. Carpentier Packaging GmbH 27.3.26.1. Overview 27.3.26.2. Product Portfolio 27.3.26.3. Profitability by Market Segments (Product/Channel/Region) 27.3.26.4. Sales Footprint 27.3.26.5. Strategy Overview 27.3.27. iXAPACK GLOBAL 27.3.27.1. Overview 27.3.27.2. Product Portfolio 27.3.27.3. Profitability by Market Segments (Product/Channel/Region) 27.3.27.4. Sales Footprint 27.3.27.5. Strategy Overview 27.3.28. J+P Maschinenbau GmbH 27.3.28.1. Overview 27.3.28.2. Product Portfolio 27.3.28.3. Profitability by Market Segments (Product/Channel/Region) 27.3.28.4. Sales Footprint 27.3.28.5. Strategy Overview 27.3.29. CT Pack S.r.l (Aretè Cocchi Technology) 27.3.29.1. Overview 27.3.29.2. Product Portfolio 27.3.29.3. Profitability by Market Segments (Product/Channel/Region) 27.3.29.4. Sales Footprint 27.3.29.5. Strategy Overview 27.3.30. B&B Packaging Technologies, L.P. 27.3.30.1. Overview 27.3.30.2. Product Portfolio 27.3.30.3. Profitability by Market Segments (Product/Channel/Region) 27.3.30.4. Sales Footprint 27.3.30.5. Strategy Overview *The above list is indicative in nature and is subject to change during the course of research 28. Assumptions and Acronyms Used 29. Research Methodology
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