Product Overview

Secure packaging is one of the main techniques to avoid counterfeiting. Anti-counterfeit packaging is defined as the method of assigning secure packaging to a product, in order to minimize counterfeiting or infringement. A safe packaging strategy that eliminates imitation and confirms the safety of the product is anti-counterfeiting packaging. In terms of revenue and loyalty, businesses take anti-counterfeit measures to minimize losses due to counterfeiting.

Market Highlights
Anti-counterfeit Packaging Market is expected to project a notable CAGR of 12.5% in 2030.
Anti-counterfeit Packaging Market to surpass USD 190.5 Billion by 2030 from USD 90.3 Billion in 2019 in terms of value growing at a CAGR of 12.5% throughout the forecast period, i.e., 2020-30. Factors such as the rising acceptance of such packaging by pharmaceutical firms worldwide, in particular. In addition, growth is expected to be driven by growing market perception concerning the adverse effects of counterfeit products. Due to growing concerns about the dilution of brand identity by the leading producers around the globe, the industry is expected to experience high growth. Moreover, growth over the forecast period is expected to be powered by growing technological innovation for the development of highly secure packaging for use in the application industries. The latest development identified in the anti-counterfeit packaging market is the rise in strict product protection regulations related to counterfeiting. Since the market concentration of fake goods is constantly growing, strict regulations are imposed by the government of different countries to regulate counterfeiting activities. These regulations have a positive effect on the anti-counterfeit packaging industry and seek to eradicate the demand for counterfeit products.

Anti-counterfeit Packaging Market: Segments
Covert anti-counterfeiting packaging segment to grow with the highest CAGR of 7.95% during 2020-30
Anti-counterfeit Packaging Market is segmented by technology as Trace and Track, Tamper-evident, Covert, Overt, and Forensic Markers. The track & trace segment is estimated to lead the market with a share of over XX.X% in 2019 in the anti-counterfeit packaging market. This is ascribed to the high-volume adoption of packaging technologies, which allows manufacturers to track and trace their shipments and avoid any technological impediments. Covert anti-counterfeiting packaging techniques are expected to register a CAGR of over 7.95% over the forecast period due to high demand for low price secure packaging for use in the clothing & apparel and food industry. Due to high product protection coupled with product forgery difficulties, demand for security labels is expected to emerge as the most lucrative covert security techniques. Furthermore, the high demand for such FMCG products is expected to drive market growth over the next nine years.

Pharmaceutical application segment to grow with the highest CAGR during 2020-30
Anti-counterfeit Packaging Market is segmented by Application into Pharmaceutical, Food & Beverage, Clothing & apparel, and Others. The Food & beverage application segment accounted for the largest volume share of 14.87% in 2019 of the market on account of the need for product security driven by high levels of product counterfeiting in alcoholic beverages. Furthermore, the use of anti-counterfeiting techniques such as barcodes and machine-readable codes for food goods is expected to drive the market. It is expected that the use of a product for the safety of pharmaceutical products will emerge as the fastest-growing application category, guided by strong concerns about the adverse effects of spurious drugs. Moreover, high concerns about the brand reputation in the pharmaceutical industry are expected to drive the growth of the market for anti-counterfeiting packaging over the forecast period.

Anti-counterfeit Packaging Market: Market Dynamics
Drivers
Increasing Focus of Manufacturers on Brand Protection
Concerns about the losses suffered by commodity producers across countries due to sales of counterfeit goods have increased. This has raised brand dilution issues, which, in turn, is driving the need for anti-counterfeit packaging. Furthermore, due to the risk of damage caused by the use of spurious goods, a major market for anti-counterfeit packaging is expected to emerge in the pharmaceutical industry. Manufacturers are embracing anti-counterfeiting packaging technology due to concerns about the brand value and adverse effects of spurious products, which in turn fuels the global demand for anti-counterfeit packaging. Following the concerns about brand dilution and losses suffered by manufacturers, many companies are making heavy investments in anti-counterfeit packaging technologies, which are expected to generate enormous business opportunities for industry players. Furthermore, anti-counterfeit innovations are increasingly supported by supportive government policies in the food & beverage and pharmaceutical packaging industries, further boosting the anti-counterfeit industry.

Restrain
High-initial Costs
Owing to the globalization of the retail industry, the anti-counterfeit packaging market is currently facing a gigantic challenge, which indirectly gives counterfeiters a crucial advantage in disrupting the real product market. Along with the pharmaceutical and retail goods industry, the global food & beverage market is facing losses due to counterfeiting in terms of sales and intangible assets. Any significant or critical improvement in the packaging process of the brand recall will build a barrier to identifying the real product and can definitely help forgers to produce fake goods on behalf of the original one.

Anti-counterfeit Packaging Market: Key Players
Avery Dennison Corporation

Company Overview, Business Strategy, Key Product Offerings, Financial Performance, Key Performance Indicators, Risk Analysis, Recent Development, Regional Presence, and SWOT Analysis.

CCL Industries Inc.
3M Company
E.I. Du Pont De Nemours and Company
Zebra Technologies Corporation
Sicpa Holding SA
AlpVision SA
Applied Dna Sciences Inc.
Uflex Limited
Authentix Inc.
Ampacet Corporation
PharmaSecure Inc.
Other prominent players
Anti-counterfeit Packaging Market: Regions
Anti-counterfeit Packaging Market is segmented based on regional analysis into five major regions. These include North America, Latin America, Europe, Asia Pacific, and the Middle East, and Africa.

Anti-counterfeit Packaging Market in North America led the market with a lion share of more than XX.X% in 2019 and is projected to maintain its lead over the forecast period in terms of value, followed by Europe and the Asia Pacific, owing to manufacturers’ focus on developing sustainable anti-counterfeit packaging options. However, the markets in China and India are expected to expand at higher rates over the forecast period, as the anti-counterfeit packaging market in developed countries is maturing. The Asia-Pacific region is projected to record the highest growth during the forecast period, with growing market awareness leading to greater awareness of product-related information prior to actual consumption, thus increasing the demand for counterfeit packaging in the region.

Competitive Landscape:

The Anti-counterfeit Packaging market, which is highly competitive, consists of several major players such as E.I. du Pont de Nemours and Company, Avery Dennison Corporation hold a substantial market share in the Anti-counterfeit Packaging market. Other players analysed in this report are SICPA Holding SA, Amcor Limited, Atlantic Zeiser GmbH, and Applied DNA Sciences Inc among others.

Anti-counterfeit Packaging Market is further segmented by region into:
North America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – United States and Canada
Latin America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – Mexico, Argentina, Brazil, and Rest of Latin America
Europe Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – United Kingdom, France, Germany, Italy, Spain, Belgium, Hungary, Luxembourg, Netherlands, Poland, NORDIC, Russia, Turkey, and Rest of Europe
APAC Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – India, China, South Korea, Japan, Malaysia, Indonesia, New Zealand, Australia, and Rest of APAC
MENA Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – North Africa, Israel, GCC, South Africa, and Rest of MENA
Anti-counterfeit Packaging Market report also contains analysis on:
Anti-counterfeit Packaging Market Segments:

By Technology:
Trace and Track
Tamper-evident
Covert
Overt
Forensic Markers
By Application:
Pharmaceutical
Food & Beverage
Clothing & Apparels
Anti-counterfeit Packaging Market Dynamics
Anti-counterfeit Packaging Market Size
Supply & Demand
Current Trends/Issues/Challenges
Competition & Companies Involved in the Market
Value Chain of the Market
Market Drivers and Restraints
FAQs on Anti-counterfeit Packaging Market
Which segment is anticipated to hold the largest market share?
At what CAGR is the market anticipated to grow between 2020 and 2030?
Who are the key players in the Anti-counterfeit Packaging Market?
What could be the challenging factors in the growth of the Anti-counterfeit Packaging Market?
What are the growth drivers for the Anti-counterfeit Packaging Market?

The post Anti-counterfeit Packaging Market: Market Segments: By Technology (Trace and Track, Tamper-evident, Covert, Overt, and Forensic Markers); By Application (Pharmaceutical, Food & Beverage, Clothing & Apparels and Others); and Region – Global Analysis by Market Size, Share & Trends for 2014 – 2019 and Forecasts to 2030 first appeared on CRI Report.

Artificial Intelligence in Retail is used to preserve inventory accuracy, enhance customer service, and improve efficiency. It is primarily used by retailers to strengthen the decision-making process and automate business operations. AI in retail is widely applicable to facilitate trade decisions, predictive analysis, big data automation, and others. The simulation of human intelligence demonstrated by machines, particularly computers, is artificial intelligence (AI), often referred to as machine intelligence. Such procedures include learning, reasoning, and self-correction. In the retail sector, artificial intelligence is used to improve customer service also.

Market Highlights
Artificial Intelligence in Retail Market is expected to project a notable CAGR of 37.5% in 2030.
Artificial Intelligence in Retail Market to surpass USD 20.5 Billion by 2030 from USD 1.35 Billion in 2019 in terms of value growing at a CAGR of 37.5% throughout the forecast period, i.e., 2020-30. Rising demand for artificial intelligence in the retail industry is a major factor expected to drive the growth of global artificial intelligence in the retail sector in years to come, due to increased investment and increasing business sales opportunities. In addition, growing knowledge of AI as it allows speed, security, and ease of transaction is another factor anticipated to promote artificial intelligence revenue growth in the retail industry. In addition, the rising need to optimize supply chain transactions and preserve inventory accuracy is among some of the other factors that are expected to significantly fuel the growth of artificial intelligence in the retail industry.

Artificial Intelligence in Retail Market: Segments
Customer Relationship Management segment to grow with the highest CAGR of XX.X% during 2020-30
Artificial Intelligence in the Retail Market is segmented by solutions as Visual Search, Virtual Assistant, Product Recommendation and Planning, Price Optimization, Customer Relationship Management, and Others. The product recommendation and planning segment is estimated to lead the market with a share of over XX.X% in 2019 whereas the CRM segment has the highest CAGR. A very powerful part of the overall shopping cycle for any shopper is product recommendation. AI is used by retailers to give their customers a customized experience and provide suggestions on items they would like to buy by showing specific products. In addition, the most critical technology leading to the highest sales relative to other innovations would remain machine learning and deep learning technology. As one of the artificial solutions in retail that could reshape their companies, many retailers around the world have begun to implement customer behavior monitoring. It enables retailers to engage both online and in-store consumers and provides personalized recommendations.

Predictive merchandising Segment to grow with the highest CAGR during 2020-30
Artificial Intelligence in the Retail Market is segmented Application into In-Store Visual Monitoring and Surveillance, Market Forecasting, Predictive Merchandising, Programmatic Advertising, and Others. The predictive merchandising segment accounted for the largest revenue share of XX.X% in 2019 which is mainly attributed to the growing need of retailers for gaining valuable insights regarding customer’s motives behind the purchase and their buying pattern behaviors which is enforcing them to adopt predictive merchandising solutions. In addition, in order to retain a competitive advantage in a fast-growing marketplace, these technologies are becoming increasingly important for retail businesses to search for proactive methods of harnessing new and comprehensive data sources. In addition, during the forecast era, the predictive merchandising segment is also expected to see rapid growth, as the technologies enable planners to accurately recognize leftover stock ahead of time. This, in turn, will help boost inventory management, resulting in fewer instances of items that are not sold, contributing to cost savings.

Artificial Intelligence in Retail Market: Market Dynamics
Drivers
Growing Awareness Regarding AI and Big Data & Analytics
In the retail sector, artificial intelligence revolves around the way corporations have been run for the past few decades. The secret to digital business is artificial intelligence (AI) and big data & analytics, which have the ability to change anything from business processes to customer experience. The overall understanding and acceptance of AI and big data analytics in the retail industry have been growing due to the increasing penetration of smart devices and applications, the proliferation of IoT, the adoption of cloud services, and advances in technology. Various existing retailers around the world are struggling with rising costs, disgruntled customers, decreasing sales, and upstart competition. In order to increase operating performance and improve consumer interactions, this has led retailers to introduce technical instruments. Several areas in the retail industry, such as inventory management, supply chain management, marketing and branding, and management of customer relationships, provide considerable technological transformation opportunities and thus allow retailers to increase overall efficiency and profitability.

Restrain
Growing concerns regarding security and privacy
A dearth of technical expertise and regulatory standards to minimize counterfeits and breaching of data are factors that may impede the growth of the target market. Failure of technical infrastructure and data breaches along with misuse of personal information can, however, pose a challenge to the growth of Artificial Intelligence in the Retail industry in the forthcoming years.

Artificial Intelligence in Retail Market: Key Players
Amazon Web Services Inc.

Company Overview, Business Strategy, Key Product Offerings, Financial Performance, Key Performance Indicators, Risk Analysis, Recent Development, Regional Presence, and SWOT Analysis.

Style.ai
Google LLC
Daisy Intelligence
IBM Corporation
Microsoft Corporation
Plexure Ltd
Versium Analytics Inc.
Findmine Inc.
SAP SE
Salesforce.com Inc.
Conversica Inc.
BloomReach Inc.
Sentient Technologies Holdings Limited
Focal Systems Inc.
ViSenze Pte Ltd
Artificial Intelligence in Retail Market: Regions
Artificial Intelligence in the Retail Market is segmented based on regional analysis into five major regions. These include North America, Latin America, Europe, Asia Pacific, and Middle East, and Africa.

Artificial Intelligence in Retail Market in North America led the market with a lion share of more than XX.X% in 2019 and is projected to maintain its lead over the forecast period in terms of revenue. North America is expected to dominate the market with the largest market share mainly because of the presence of several developed economies, such as the United States and Canada, focusing on enhancing the existing solutions in the retail space. North America is an early adopter of AI technology and hosts the major AI solution providers. The Asia Pacific region, however, is expected to develop rapidly during the forecast period, as the region is experiencing substantial growth on all fronts, including internet connectivity, economic growth, spending potential, and consumer product demand. The growth of e-commerce in countries like China and India and rising investments in AI technology for improved productivity and real-time inventory management are contributing to the growth of the AI market for the retail sector in this area as a result of government initiatives. In addition, the factors such as developing internet & connectivity infrastructure, growing adoption of AI-based solutions & services among retailers, and increasing digitalization are also helping the market growth in this region.

Competitive Landscape:

The Artificial Intelligence in Retail market, which is highly competitive, consists of several major players such as Amazon.com, Inc. (U.S.), Google LLC (U.S.), IBM Corporation (U.S.) hold a substantial market share in the Artificial Intelligence in Retail market. Other players analyzed in this report are Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), Salesforce.com, Inc. (U.S.), and Bloom Reach, Inc. (U.S.) among others.

Artificial Intelligence in Retail Market is further segmented by region into:
North America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – United States and Canada
Latin America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – Mexico, Argentina, Brazil, and Rest of Latin America
Europe Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – United Kingdom, France, Germany, Italy, Spain, Belgium, Hungary, Luxembourg, Netherlands, Poland, NORDIC, Russia, Turkey, and Rest of Europe
APAC Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – India, China, South Korea, Japan, Malaysia, Indonesia, New Zealand, Australia, and Rest of APAC
MENA Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – North Africa, Israel, GCC, South Africa, and Rest of MENA
Artificial Intelligence in Retail Market report also contains analysis on:
Artificial Intelligence in Retail Market Segments:

By Technology:
Natural Language Processing
Machine Learning and Deep Learning
Others
By Deployment:
Cloud
On-Premise
By Solution:
Visual Search
Virtual Assistant
Product Recommendation and Planning
Price Optimization
Customer Relationship Management
Others
By Application:
In-Store Visual Monitoring and Surveillance
Market Forecasting
Predictive Merchandising
Programmatic Advertising
Artificial Intelligence in Retail Market Dynamics
Artificial Intelligence in Retail Market Size
Supply & Demand
Current Trends/Issues/Challenges
Competition & Companies Involved in the Market
Value Chain of the Market
Market Drivers and Restraints
FAQs on Artificial Intelligence in Retail Market
Which segment is anticipated to hold the largest market share?
At what CAGR is the market anticipated to grow between 2020 and 2030?
Who are the key players in Artificial Intelligence in the Retail Market?
What could be the challenging factors in the growth of Artificial Intelligence in the Retail Market?
What are the growth drivers for Artificial Intelligence in the Retail Market?

The post Artificial Intelligence in Retail Market: Market Segments: By Technology (Natural Language Processing, Machine Learning and Deep Learning, and Others); By Deployment (Cloud and On-Premise); By Solution (Visual Search, Virtual Assistant, Product Recommendation and Planning, Price Optimization, Customer Relationship Management and Others); By Application (In-Store Visual Monitoring and Surveillance, Market Forecasting, Predictive Merchandising, Programmatic Advertising and Others); and Region – Global Analysis by Market Size, Share & Trends for 2014 – 2019 and Forecasts to 2030 first appeared on CRI Report.