1. Introduction
1.1. Goal & Objective 
1.2. Report Coverage                                         
1.3. Supply Side Data Modelling & Methodology
1.4. Demand Side Data Modelling & Methodology
      
2. Executive Summary 

3. Market Outlook 
3.1. Introduction
3.2. Current & Future Outlook
3.3. DROC
3.3.1. Drivers
3.3.1.1. Demand Drivers
3.3.1.2. Supply Drivers
3.3.2. Restraints
3.3.3. Opportunities
3.3.4. Challenges
3.4. Market Entry Matrix
3.5. Market Opportunity Analysis
3.6. Market Regulations
3.7. Pricing Mix
3.8. Value Chain & Ecosystem
3.9. Key Customers

4. Market Demand Analysis
4.1. Anti-Counterfeit Packaging, By Feature   
4.1.1. Introduction 
4.1.2. Track & Trace Technology
4.1.3. Overt Feature                                                         
4.1.4. Covert Feature                                                       
4.1.5. Tamper Evidence
4.1.6. Forensic Markers

5. Anti-Counterfeit Packaging, By Type   
5.1.1. Introduction 
5.1.2. Security Labels
5.1.3. Holgram
5.1.4. RFID
5.1.5. Coding & Printing Technology
5.1.6. Packaging Designs
5.1.7. Others

6. Anti-Counterfeit Packaging Market, By End-User 
6.1.  Introduction 
6.2. Clothing Industry
6.3. Food & Beverage Industry
6.4. Consumer Industries Packaging
6.5. Cosmetics & Personal care Packaging
6.6. Industrial Packaging
6.7. Automotive Packaging
6.8. Electronics Packaging
6.9. Others

7. Anti-Counterfeit Packaging Market, By Region 
7.1.  Introduction 
7.2. North America 
7.2.1. U.S.A
7.2.2. Canada
7.2.3. Mexico
7.3. Asia Pacific
7.3.1. China
7.3.2. Japan
7.3.3. South Korea
7.3.4. India
7.3.5. Australia
7.3.6. Others 
7.4. Europe 
7.4.1. Germany
7.4.2. UK
7.4.3. Sweden
7.4.4. France
7.4.5. Italy
7.4.6. Others
7.5. Middle East & Africa 
7.5.1. Saudi Arabia
7.5.2. UAE
7.5.3. Others
7.6. South America
7.6.1. Brazil
7.6.2. Argentina
7.6.3. Others

7.7. Supply Market Analysis (Industry Player Analysis)
7.7.1. Strategic Benchmarking
7.7.2. Market Share Analysis
7.7.3. Key Players
7.7.3.1. 3M
7.7.3.2. Avery Denninson
7.7.3.3. Amcor Limited
7.7.3.4. Authentix Inc.
7.7.3.5. CCL Industries Inc.
7.7.3.6. DuPont
7.7.3.7. Savi Technology
7.7.3.8. Tracelink Inc.
7.7.3.9. Ampacet Corporation
7.7.3.10. Zaebra Technologies Corporation
7.7.3.11. Alpvision SA
7.7.3.12. Impinj, Inc.
7.7.3.13. Zebra Technologies
7.7.3.14. Advance Trace & Trace S.A. & Others

SDMR employs a three way data triangulation approach to arrive at market estimates. We use primary research, secondary research and data triangulation by top down and bottom up approach 

Secondary Research:
Our research methodology involves in-depth desk research using various secondary sources. Data is gathered from association/government publications/databases, company websites, press releases, annual reports/presentations/sec filings, technical papers, journals, research papers, magazines, conferences, tradeshows, and blogs.

Key Data Points through secondary research-
Macro-economic data points
Import Export data
Identification of major market trends across various applications
Primary understanding of the industry for both the regions
Competitors analysis for the production capacities, key production sites, competitive landscape
Key customers
Production Capacity 
Pricing Scenario
Cost Margin Analysis                                                                                                                                                                                       
Primary Research:
After collecting the secondary data, our team conducts primary interviews to validate the accuracy of the information. Primary interviews are conducted across entire value chain from raw material suppliers to end users. The primary interview is mainly conducted with the Presidents, CEOs, Vice Presidents, Directors, General Managers, Product Manager, Sales Manager, Marketing Manager, Business Development Manager.

Key Data Points through primary research-
Major factors driving the market and its end application markets
Comparative analysis and customer analysis
Regional presence 
Collaborations or tie-ups
Annual Production, and sales
Profit Margins
Average Selling Price

Data Triangulation:
Data triangulation is done using top down and bottom approaches. However, to develop accurate market sizing estimations, both the methodologies are used to accurately arrive at the market size.