The AI In Packaging Market Size was valued at USD 2100 million in 2023 and is expected to reach USD 5593.62 million by 2031 and grow at a CAGR of 11.5 % over the forecast period 2024-2031.
The surging demand for intelligent and sustainable packaging, coupled with a heightened emphasis on environmental considerations, has created fertile ground for AI-driven innovations. Artificial intelligence emerges as a pivotal catalyst in shaping intelligent packaging solutions that not only meet these demands but also elevate overall product safety, traceability, and consumer engagement. AI applications in packaging offer a range of functions. Active monitoring systems, driven by AI algorithms, oversee factors such as temperature and humidity to maintain ideal storage conditions for sensitive products. Temperature-sensitive labels, another AI-driven innovation, enable precise temperature tracking throughout the supply chain, particularly valuable for maintaining the quality of items like pharmaceuticals and perishable goods.
Get More Information on AI In Packaging Market - Request Sample Report
Looking towards the future, the trajectory of the AI in packaging market appears promising from 2023 to 2032. The continuous adoption of AI is anticipated as businesses recognize its intrinsic value in transforming the packaging landscape. Forecasts indicate an intensified impact of AI on quality control, leveraging integrated technologies like computer vision and machine learning for more precise and efficient inspection processes. Furthermore, AI's role in supply chain management is positioned to expand, optimizing inventory, forecasting demand, and refining logistics. Through data analysis, AI algorithms will empower companies with actionable insights, enabling informed decision-making and operational streamlining.
KEY DRIVERS:
Quality assurance through computer vision
Sophisticated computer vision algorithms have the capability to swiftly and precisely detect product defects, guaranteeing a uniform standard of quality and diminishing the necessity for manual inspections.
Growing demand for personalized and sustainable packaging solutions.
RESTRAIN:
High implementation costs pose a significant barrier, especially for smaller enterprises.
The initial investment required for integrating AI technologies into packaging processes can be significant. This financial barrier may hinder smaller companies from adopting AI in packaging.
Data privacy and security concerns, stemming from the extensive data AI systems require and the challenges of integrating AI into existing infrastructures, pose significant hurdles.
OPPORTUNITY:
AI technologies allow for advanced quality control, offering the chance to improve product quality by swiftly identifying defects and maintaining consistency in manufacturing processes.
Virtual reality is set to become a common feature in the customer experience and packaging design of numerous companies.
As interactive VR headsets, such as the Oculus Rift and HTC Vive, become increasingly cost-effective, smaller businesses are gaining access to immersive virtual reality experiences.
CHALLENGES:
Adhering to evolving regulations and standards related to AI and packaging poses a challenge.
The packaging industry, notably in Ukraine, has been profoundly affected by the Russia-Ukraine war, disrupting a sector that played a vital role in the global packaging supply chain. Ukraine, previously recognized for its substantial production of PET beverage bottles, transport packaging, and glass bottles, leveraging rich natural resources like timber and metals, is now grappling with the severe consequences of the conflict. The invasion has caused a virtual standstill in Ukraine's packaging sector, exemplified by the challenges faced by companies such as PACK TECHNOLOGY Ukraine. Logistical hurdles and operational standstills have become acute issues due to the occupation and blockade of cities.
The conflict has triggered extensive closures of packaging and production facilities in both Ukraine and Russia. Martial law imposition in Ukraine has compelled numerous establishments, including major players like Karpatneftekhim (the country's largest PET plant), to halt operations. Vetropack, a significant glass packaging provider, faced operational halts and sent employees home due to severe facility damage. Supply chain disruptions, infrastructure damage, and the mass departure of businesses and labour from conflict zones have exacerbated an already challenging situation for the packaging industry, resulting in a complex operating environment post-conflict.
The current economic slowdown has exerted a notable impact on the AI in packaging market across several dimensions. Firstly, the downturn has led to delayed investments as companies, amid financial uncertainty, adopt a cautious approach towards spending. This caution affects the willingness of businesses to invest in cutting-edge technologies like AI, resulting in the postponement or scaling back of projects related to the integration of AI in the packaging sector.
Additionally, budget constraints arising from the economic downturn compel companies to prioritize essential operations over investments in advanced technologies. The financial limitations hinder the allocation of funds specifically earmarked for AI in packaging, and smaller businesses may face particular challenges in securing resources for technological advancements. Maintain core operations while carefully integrating AI technologies. For example, IBM's strategic emphasis on AI and cloud computing has played a pivotal role in stabilizing its business model amidst market fluctuations.
Furthermore, economic uncertainties contribute to a slower rate of adoption of AI in packaging. Businesses, wary of perceived risks and costs associated with implementing AI solutions in their packaging processes, exhibit hesitancy in embracing these innovative technologies during periods of economic instability.
The shift in consumer spending habits is another significant consequence of the economic slowdown. Changes in consumer priorities and reduced disposable income can influence product demand and, consequently, impact packaging requirements. Brands are prompted to reevaluate their packaging strategies to align with altered consumer preferences and purchasing behaviours, reflecting an adaptation to the evolving economic landscape.
By Technology Type
Computer Vision
Predictive Analytics
Machine Learning
Natural Language Processing
Machine learning dominates the market with share 42.8%. Machine learning models play a crucial role in facilitating efficient quality control and supply chain optimization within the packaging industry. Packaging firms are anticipated to predict equipment breakdowns or maintenance needs through the application of machine learning.
By Application
Supply Chain Optimization
Quality Control and Inspection
Smart Packaging
Packaging Design and Customization
By End Use
Personal Care & Cosmetics
Food & Beverage
Consumer Goods
Healthcare
Other Industrial
E-commerce & Retail
The prevalence of quality control and inspection applications remains dominant in the industry. AI-supported quality control methods are diminishing error risks and enhancing process efficiency. AI technologies enable real-time monitoring of packaging operations, providing continuous feedback on both the final product's quality and the process's efficiency.
Get Customized Report as per Your Business Requirement - Request For Customized Report
North America stands as a frontrunner, projecting dominance in the global market. The region's sustained economic growth, coupled with a robust technological infrastructure, fosters an environment conducive to the adoption of AI in packaging. The rising prevalence of AI technologies within the packaging industry, driven by a penchant for innovation, positions North America as a key contributor to the market's expansion.
In Europe, the AI in packaging market is influenced by a strong emphasis on sustainability and stringent regulations. The region's commitment to eco-friendly practices and circular economy models shapes innovations in packaging materials, driving the integration of AI to optimize sustainability efforts. European countries, with their mature economies, are at the forefront of leveraging AI for packaging solutions, aligning with evolving consumer expectations.
Asia-Pacific emerges as a significant growth hub, propelled by rapid urbanization, a burgeoning e-commerce sector, and a proactive approach towards technological adoption. Countries like China, Japan, and South Korea are witnessing increased integration of AI in packaging operations, driven by the need for efficiency and the rising demand for personalized and sustainable packaging solutions.
In developing regions, the adoption of AI in packaging is influenced by economic considerations, technological readiness, and the pace of industrialization. Latin America and the Middle East & Africa showcase potential growth as industries explore opportunities to enhance efficiency and competitiveness through AI-driven packaging solutions.
REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
Some of the major players in the AI In Packaging Market are SteriPack Group, West Rock Company, Constantia Flexibles GmbH, Uflex Ltd, ACG Pharmapack Pvt. Ltd, Winpak Ltd, Amcor plc, Klockner Pentaplast Group, Sonoco Products Company, Honeywell International, Inc., Berry Global and other players.
SteriPack Group - Company Financial Analysis
ABB Robotics and Zume entered into a cooperation agreement in November 2021. ABB supplies Zume with the world's constant packaging production, which reduces its dependence on traditional plastics.
The Sea Vision Group is launching its newest technology using AI to optimize packaging solutions.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | US$ 2100 Million |
| Market Size by 2031 | US$ 5593.62 Million |
| CAGR | CAGR of 11.5 % From 2024 to 2031 |
| Base Year | 2023 |
| Forecast Period | 2024-2031 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Technology Type (Computer Vision, Predictive Analytics, Machine Learning, Natural Language Processing) • By Application (Supply Chain Optimization, Quality Control And Inspection, Smart Packaging, Packaging Design And Customization) • By End Use (Personal Care & Cosmetics, Food & Beverage, Consumer Goods, Healthcare, Other Industrial, E-Commerce & Retail) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | SteriPack Group, West Rock Company, Constantia Flexibles GmbH, Uflex Ltd, ACG Pharmapack Pvt. Ltd, Winpak Ltd, Amcor plc, Klockner Pentaplast Group, Sonoco Products Company, Honeywell International, Inc., Berry Global |
| Key Drivers | • Quality assurance through computer vision • Growing demand for personalized and sustainable packaging solutions. |
| Opportunities | • AI technologies allow for advanced quality control, offering the chance to improve product quality by swiftly identifying defects and maintaining consistency in manufacturing processes. • Virtual reality is set to become a common feature in the customer experience and packaging design of numerous companies. |
Ans: The AI In Packaging Market is expected to grow at a CAGR of 11.5%.
Ans: The AI In Packaging Market size was USD 2100 million in 2023 and is expected to Reach USD 5593.62 million by 2031.
Ans: A key driver is growing demand for personalized and sustainable packaging solutions.
Ans: High implementation costs pose a significant barrier, especially for smaller enterprises restraints the growth of AI In Packaging Market.
Ans: The North America region held the largest market share and will continue to dominate the market.
TABLE OF CONTENTS
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Industry Flowchart
3. Research Methodology
4. Market Dynamics
4.1 Drivers
4.2 Restraints
4.3 Opportunities
4.4 Challenges
5. Impact Analysis
5.1 Impact of Russia-Ukraine Crisis
5.2 Impact of Economic Slowdown on Major Countries
5.2.1 Introduction
5.2.2 United States
5.2.3 Canada
5.2.4 Germany
5.2.5 France
5.2.6 UK
5.2.7 China
5.2.8 Japan
5.2.9 South Korea
5.2.10 India
6. Value Chain Analysis
7. Porter’s 5 Forces Model
8. Pest Analysis
9. AI In Packaging Market Segmentation, By Technology Type
9.1 Introduction
9.2 Trend Analysis
9.3 Computer Vision
9.4 Predictive Analytics
9.5 Machine Learning
9.6 Natural Language Processing
10. AI In Packaging Market Segmentation, By Application
10.1 Introduction
10.2 Trend Analysis
10.3 Supply Chain Optimization
10.4 Quality Control and Inspection
10.5 Smart Packaging
10.6 Packaging Design and Customization
11. AI In Packaging Market Segmentation, By End Use
11.1 Introduction
11.2 Trend Analysis
11.3 Personal Care & Cosmetics
11.4 Food & Beverage
11.5 Consumer Goods
11.6 Healthcare
11.7 Other Industrial
11.8 E-commerce & Retail
12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 Trend Analysis
12.2.2 North America AI In Packaging Market by Country
12.2.3 North America AI In Packaging Market By Technology Type
12.2.4 North America AI In Packaging Market By Application
12.2.5 North America AI In Packaging Market By End Use
12.2.6 USA
12.2.6.1 USA AI In Packaging Market By Technology Type
12.2.6.2 USA AI In Packaging Market By Application
12.2.6.3 USA AI In Packaging Market By End Use
12.2.7 Canada
12.2.7.1 Canada AI In Packaging Market By Technology Type
12.2.7.2 Canada AI In Packaging Market By Application
12.2.7.3 Canada AI In Packaging Market By End Use
12.2.8 Mexico
12.2.8.1 Mexico AI In Packaging Market By Technology Type
12.2.8.2 Mexico AI In Packaging Market By Application
12.2.8.3 Mexico AI In Packaging Market By End Use
12.3 Europe
12.3.1 Trend Analysis
12.3.2 Eastern Europe
12.3.2.1 Eastern Europe AI In Packaging Market by Country
12.3.2.2 Eastern Europe AI In Packaging Market By Technology Type
12.3.2.3 Eastern Europe AI In Packaging Market By Application
12.3.2.4 Eastern Europe AI In Packaging Market By End Use
12.3.2.5 Poland
12.3.2.5.1 Poland AI In Packaging Market By Technology Type
12.3.2.5.2 Poland AI In Packaging Market By Application
12.3.2.5.3 Poland AI In Packaging Market By End Use
12.3.2.6 Romania
12.3.2.6.1 Romania AI In Packaging Market By Technology Type
12.3.2.6.2 Romania AI In Packaging Market By Application
12.3.2.6.4 Romania AI In Packaging Market By End Use
12.3.2.7 Hungary
12.3.2.7.1 Hungary AI In Packaging Market By Technology Type
12.3.2.7.2 Hungary AI In Packaging Market By Application
12.3.2.7.3 Hungary AI In Packaging Market By End Use
12.3.2.8 Turkey
12.3.2.8.1 Turkey AI In Packaging Market By Technology Type
12.3.2.8.2 Turkey AI In Packaging Market By Application
12.3.2.8.3 Turkey AI In Packaging Market By End Use
12.3.2.9 Rest of Eastern Europe
12.3.2.9.1 Rest of Eastern Europe AI In Packaging Market By Technology Type
12.3.2.9.2 Rest of Eastern Europe AI In Packaging Market By Application
12.3.2.9.3 Rest of Eastern Europe AI In Packaging Market By End Use
12.3.3 Western Europe
12.3.3.1 Western Europe AI In Packaging Market by Country
12.3.3.2 Western Europe AI In Packaging Market By Technology Type
12.3.3.3 Western Europe AI In Packaging Market By Application
12.3.3.4 Western Europe AI In Packaging Market By End Use
12.3.3.5 Germany
12.3.3.5.1 Germany AI In Packaging Market By Technology Type
12.3.3.5.2 Germany AI In Packaging Market By Application
12.3.3.5.3 Germany AI In Packaging Market By End Use
12.3.3.6 France
12.3.3.6.1 France AI In Packaging Market By Technology Type
12.3.3.6.2 France AI In Packaging Market By Application
12.3.3.6.3 France AI In Packaging Market By End Use
12.3.3.7 UK
12.3.3.7.1 UK AI In Packaging Market By Technology Type
12.3.3.7.2 UK AI In Packaging Market By Application
12.3.3.7.3 UK AI In Packaging Market By End Use
12.3.3.8 Italy
12.3.3.8.1 Italy AI In Packaging Market By Technology Type
12.3.3.8.2 Italy AI In Packaging Market By Application
12.3.3.8.3 Italy AI In Packaging Market By End Use
12.3.3.9 Spain
12.3.3.9.1 Spain AI In Packaging Market By Technology Type
12.3.3.9.2 Spain AI In Packaging Market By Application
12.3.3.9.3 Spain AI In Packaging Market By End Use
12.3.3.10 Netherlands
12.3.3.10.1 Netherlands AI In Packaging Market By Technology Type
12.3.3.10.2 Netherlands AI In Packaging Market By Application
12.3.3.10.3 Netherlands AI In Packaging Market By End Use
12.3.3.11 Switzerland
12.3.3.11.1 Switzerland AI In Packaging Market By Technology Type
12.3.3.11.2 Switzerland AI In Packaging Market By Application
12.3.3.11.3 Switzerland AI In Packaging Market By End Use
12.3.3.1.12 Austria
12.3.3.12.1 Austria AI In Packaging Market By Technology Type
12.3.3.12.2 Austria AI In Packaging Market By Application
12.3.3.12.3 Austria AI In Packaging Market By End Use
12.3.3.13 Rest of Western Europe
12.3.3.13.1 Rest of Western Europe AI In Packaging Market By Technology Type
12.3.3.13.2 Rest of Western Europe AI In Packaging Market By Application
12.3.3.13.3 Rest of Western Europe AI In Packaging Market By End Use
12.4 Asia-Pacific
12.4.1 Trend Analysis
12.4.2 Asia-Pacific AI In Packaging Market by Country
12.4.3 Asia-Pacific AI In Packaging Market By Technology Type
12.4.4 Asia-Pacific AI In Packaging Market By Application
12.4.5 Asia-Pacific AI In Packaging Market By End Use
12.4.6 China
12.4.6.1 China AI In Packaging Market By Technology Type
12.4.6.2 China AI In Packaging Market By Application
12.4.6.3 China AI In Packaging Market By End Use
12.4.7 India
12.4.7.1 India AI In Packaging Market By Technology Type
12.4.7.2 India AI In Packaging Market By Application
12.4.7.3 India AI In Packaging Market By End Use
12.4.8 Japan
12.4.8.1 Japan AI In Packaging Market By Technology Type
12.4.8.2 Japan AI In Packaging Market By Application
12.4.8.3 Japan AI In Packaging Market By End Use
12.4.9 South Korea
12.4.9.1 South Korea AI In Packaging Market By Technology Type
12.4.9.2 South Korea AI In Packaging Market By Application
12.4.9.3 South Korea AI In Packaging Market By End Use
12.4.10 Vietnam
12.4.10.1 Vietnam AI In Packaging Market By Technology Type
12.4.10.2 Vietnam AI In Packaging Market By Application
12.4.10.3 Vietnam AI In Packaging Market By End Use
12.4.11 Singapore
12.4.11.1 Singapore AI In Packaging Market By Technology Type
12.4.11.2 Singapore AI In Packaging Market By Application
12.4.11.3 Singapore AI In Packaging Market By End Use
12.4.12 Australia
12.4.12.1 Australia AI In Packaging Market By Technology Type
12.4.12.2 Australia AI In Packaging Market By Application
12.4.12.3 Australia AI In Packaging Market By End Use
12.4.13 Rest of Asia-Pacific
12.4.13.1 Rest of Asia-Pacific AI In Packaging Market By Technology Type
12.4.13.2 Rest of Asia-Pacific AI In Packaging Market By Application
12.4.13.3 Rest of Asia-Pacific AI In Packaging Market By End Use
12.5 Middle East & Africa
12.5.1 Trend Analysis
12.5.2 Middle East
12.5.2.1 Middle East AI In Packaging Market by Country
12.5.2.2 Middle East AI In Packaging Market By Technology Type
12.5.2.3 Middle East AI In Packaging Market By Application
12.5.2.4 Middle East AI In Packaging Market By End Use
12.5.2.5 UAE
12.5.2.5.1 UAE AI In Packaging Market By Technology Type
12.5.2.5.2 UAE AI In Packaging Market By Application
12.5.2.5.3 UAE AI In Packaging Market By End Use
12.5.2.6 Egypt
12.5.2.6.1 Egypt AI In Packaging Market By Technology Type
12.5.2.6.2 Egypt AI In Packaging Market By Application
12.5.2.6.3 Egypt AI In Packaging Market By End Use
12.5.2.7 Saudi Arabia
12.5.2.7.1 Saudi Arabia AI In Packaging Market By Technology Type
12.5.2.7.2 Saudi Arabia AI In Packaging Market By Application
12.5.2.7.3 Saudi Arabia AI In Packaging Market By End Use
12.5.2.8 Qatar
12.5.2.8.1 Qatar AI In Packaging Market By Technology Type
12.5.2.8.2 Qatar AI In Packaging Market By Application
12.5.2.8.3 Qatar AI In Packaging Market By End Use
12.5.2.9 Rest of Middle East
12.5.2.9.1 Rest of Middle East AI In Packaging Market By Technology Type
12.5.2.9.2 Rest of Middle East AI In Packaging Market By Application
12.5.2.9.3 Rest of Middle East AI In Packaging Market By End Use
12.5.3 Africa
12.5.3.1 Africa AI In Packaging Market by Country
12.5.3.2 Africa AI In Packaging Market By Technology Type
12.5.3.3 Africa AI In Packaging Market By Application
12.5.3.4 Africa AI In Packaging Market By End Use
12.5.3.5 Nigeria
12.5.3.5.1 Nigeria AI In Packaging Market By Technology Type
12.5.3.5.2 Nigeria AI In Packaging Market By Application
12.5.3.5.3 Nigeria AI In Packaging Market By End Use
12.5.3.6 South Africa
12.5.3.6.1 South Africa AI In Packaging Market By Technology Type
12.5.3.6.2 South Africa AI In Packaging Market By Application
12.5.3.6.3 South Africa AI In Packaging Market By End Use
12.5.3.7 Rest of Africa
12.5.3.7.1 Rest of Africa AI In Packaging Market By Technology Type
12.5.3.7.2 Rest of Africa AI In Packaging Market By Application
12.5.3.7.3 Rest of Africa AI In Packaging Market By End Use
12.6 Latin America
12.6.1 Trend Analysis
12.6.2 Latin America AI In Packaging Market by country
12.6.3 Latin America AI In Packaging Market By Technology Type
12.6.4 Latin America AI In Packaging Market By Application
12.6.5 Latin America AI In Packaging Market By End Use
12.6.6 Brazil
12.6.6.1 Brazil AI In Packaging Market By Technology Type
12.6.6.2 Brazil AI In Packaging Market By Application
12.6.6.3 Brazil AI In Packaging Market By End Use
12.6.7 Argentina
12.6.7.1 Argentina AI In Packaging Market By Technology Type
12.6.7.2 Argentina AI In Packaging Market By Application
12.6.7.3 Argentina AI In Packaging Market By End Use
12.6.8 Colombia
12.6.8.1 Colombia AI In Packaging Market By Technology Type
12.6.8.2 Colombia AI In Packaging Market By Application
12.6.8.3 Colombia AI In Packaging Market By End Use
12.6.9 Rest of Latin America
12.6.9.1 Rest of Latin America AI In Packaging Market By Technology Type
12.6.9.2 Rest of Latin America AI In Packaging Market By Application
12.6.9.3 Rest of Latin America AI In Packaging Market By End Use
13. Company Profiles
13.1 SteriPack Group
13.1.1 Company Overview
13.1.2 Financial
13.1.3 Products/ Services Offered
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2 West Rock Company
13.2.1 Company Overview
13.2.2 Financial
13.2.3 Products/ Services Offered
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 Constantia Flexibles GmbH
13.3.1 Company Overview
13.3.2 Financial
13.3.3 Products/ Services Offered
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 Uflex Ltd
13.4.1 Company Overview
13.4.2 Financial
13.4.3 Products/ Services Offered
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 ACG Pharmapack Pvt. Ltd
13.5.1 Company Overview
13.5.2 Financial
13.5.3 Products/ Services Offered
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6 Winpak Ltd, Amcor plc
13.6.1 Company Overview
13.6.2 Financial
13.6.3 Products/ Services Offered
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 Klockner Pentaplast Group
13.7.1 Company Overview
13.7.2 Financial
13.7.3 Products/ Services Offered
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8 Sonoco Products Company
13.8.1 Company Overview
13.8.2 Financial
13.8.3 Products/ Services Offered
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9 Honeywell International, Inc.
13.9.1 Company Overview
13.9.2 Financial
13.9.3 Products/ Services Offered
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 Berry Global
13.10.1 Company Overview
13.10.2 Financial
13.10.3 Products/ Services Offered
13.10.4 SWOT Analysis
13.10.5 The SNS View
14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Market Share Analysis
14.3 Recent Developments
14.3.1 Industry News
14.3.2 Company News
14.3.3 Mergers & Acquisitions
15. Use Case and Best Practices
16. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
The Blow Molding Machine market size was USD 5.52 billion in 2023 and is expected to Reach USD 9.14 billion by 2031 and grow at a CAGR of 6.5% over the forecast period of 2024-2031.
The Stretch Sleeve & Shrink Sleeve Labels Market size was USD 15.02 billion in 2022 and is expected to Reach USD 23.59 billion by 2030 and grow at a CAGR of 5.8 % over the forecast period of 2023-2030.
The Pharmaceutical Glass Packaging Market size was USD 18.28 billion in 2022 and is expected to Reach USD 38.62 billion by 2030 and grow at a CAGR of 9.8 % over the forecast period of 2023-2030.
The PET Packaging Market size was USD 77.24 billion in 2023 and is expected to Reach USD 117.97 billion by 2031 and grow at a CAGR of 5.1 % over the forecast period of 2024-2031.
The Filling Machines Market size was USD 9.50 billion in 2023 and is expected to Reach USD 13.40 billion by 2031 and grow at a CAGR of 4.4% over the forecast period of 2024-2031.
The Tamper-proof packaging Market is experiencing substantial growth on a global scale, driven by heightened consumer awareness regarding product safety, stringent regulations mandating tamper-evident features, and its expanding use across diverse industr
Hi! Click one of our member below to chat on Phone
© 2024 All Rights Reserved by SNS Insider Pvt Ltd
