The COVID-19 induced lockdown in France has boosted the e-commerce in a drastic way as consumers purchased more products online and made fewer trips to physical stores. Marketers have predicted that consumer behavior will likely not result in a pre-pandemic buying behavior. Thus, in April 2020, ** percent of internet users in France aged 16 to 64 said they expected to visit physical stores less frequently post-pandemic, and ** percent planned to spend less time in-store. Some ** percent of respondents said they would adopt click and collect (Drive), and ** percent would shop more online for home delivery.

Second "light" lockdown and the effects on Black Friday sales

The holy Black Friday dedicated to the madness of shopping will take place in France on Friday, November 27, 2020. Even if for deconfinement, all the retail brands had adopted the measures necessary for a return to a secure store, it seems that an important fringe of the population will shun these physical places. And with a second, "lighter" lockdown, marketers have asked themselves how the physical shopping sales loss will impact Black Friday or other sales seasons such as the French Days, as a significant revenue source for retail and the shopping economy in general.

Online presence for retailers

With a need for a plan to save physical stores, the development of online businesses has increased and so has the consumer adoption. While groceries are majoritarity carried out using Drive technologies and home delivery, the fashion retail sector has taken a toll for physical brands, which cannot be said to that extent about pure players such as Vinted.fr. But, as the sales for Black Friday had increased by *** percent compared to it's previous shopping weeks in 2019, the sales season and the French days awaited shopping peaks have only increased by a small amount compared to previous weeks of online shopping in 2020. Thus, for the fashion retail sector, which is one of the most sought after sector after high-tech products, virtual purchases are a hope for sellers to support the survival of their businesses.

The coronavirus (COVID-19) pandemic has sped up a shift to online shopping in Hong Kong. According to a survey on online shopping behavior in Hong Kong conducted by Rakuten Insight in May 2020, ** percent of the respondents who would continue purchasing online after lockdown measures are lifted because of convenience.

The COVID-19 pandemic has caused a permanent shift towards online shopping. While restrictions have eased, consumers have kept the online shopping habits they formed in lockdown.

In a survey published in March 2021, U.S. consumers were asked about the important attributes while shopping online in view of the current coronavirus and lockdown measures. The most popular answers provided by respondents were in-stock availability of desired items and fast and reliable delivery, with ** percent of respondents citing these as the most important attributes to them.

This statistic shows the percentage of internet users who bought online during the coronavirus lockdown in Spain in 2020, broken down by age group. The shopping rate of internet users in Spain during the time under consideration maintained a steadily over 70 percent across all ages, with the age group of over 60 year-olds showing the highest share at 77 percent.

BackgroundTo limit the spread of COVID-19, a strict lockdown was imposed in France between March and May 2020. Mobility limitations and closure of non-essential public places (restaurants, open-air markets, etc.) affected peoples' food environment (FE) and thus their food purchasing practices (FPPs). This study aimed to explore changes in FPPs of French households during lockdown and associations with individual and environmental factors.MethodsIn April of 2020 households from the Mont'Panier cross-sectional study (n = 306), a quota sampling survey conducted in the south of France, were asked to complete an online questionnaire about their FPPs during lockdown and related factors, including perceived FE (distance to closest general food store, perception of increased food prices, etc.). Objective FE (presence, number, proximity, and density of food outlets) was assessed around participant's home using a geographical information system. Multiple correspondence analysis based on changes in frequency of use and quantity of food purchased by food outlet, followed by a hierarchical cluster analysis, resulted in the identification of clusters. Logistic regression models were performed to assess associations between identified clusters and household's sociodemographic characteristics, perceived, and objective FE.ResultsFive clusters were identified. Cluster “Supermarket” (38% of the total sample), in which households reduced frequency of trips, but increased quantity bought in supermarkets during lockdown, was associated with lower incomes and the perception of increased food prices. Cluster “E-supermarket” (12%), in which households increased online food shopping with pickup at supermarket, was associated with higher incomes. Cluster “Diversified” (22%), made up of households who reduced frequency of trips to diverse food outlet types, was associated with the perception of increased food prices. Cluster “Organic Food Store” (20%), in which households did not change frequency of trips, nor quantity purchased in organic food stores, was associated with being older (35–50 y vs.

With the impact of the coronavirus (COVID-19) pandemic and lockdown measures imposed in many countries in Europe, growth trends in online retail orders have displayed drastic ups and downs. As displayed in the statistic, in the United Kingdom (UK) weekly online retail transactions made in home and leisure categories saw a *** percent increase since the start of the year. In the week immediately following the lockdown announcement, weekly growth rate for home and leisure retail went up by *** percent compared to the same period in the previous year. This growth trend continued through April and the first two weeks of May, with sharp drops in the second half of May. Home and leisure retail referred to in this statistic included the following sub-sectors: Seasonal, Media & Entertainment, Food & Beverage, Home & Garden, Health & Beauty, Pet Care, Home Office, Business & Industrial.

As per Cognitive Market Research's latest published report, the Global Online Fashion Retail market size was $771.90 Billion in 2022 and it is forecasted to reach $2,755.17 Billion by 2030. Online Fashion Retail Industry's Compound Annual Growth Rate will be 17.37% from 2023 to 2030. Market Dynamics of the Online Fashion Retail Market:

Evolution in online shopping along with the emergence of technologies:

Technological advancement has become the center of life. Most devices such as smartwatches, and mobile phones with multiple accessibilities merge with digital networks. Technologies such as blockchain, and artificial intelligence have pushed online fashion businesses to be more user-friendly which can help customer to fulfill their needs. E-commerce retail platforms which are using several technologies would be able to surge their competitive advantage towards better customer experiences and customizing the products as per their requirements. Artificial Intelligence (AI) is becoming the most popular technology in the online fashion retail industry. AI has the ability to change vast and diverse data into valuable data which helps to exceed cost, speed, and time. Furthermore, Augmented Reality (AR) technology also plays a vital role which provides a real-time view and also magnified computer-generated information.

Restraining Factor:

Lack of close examination and frauds in online shopping:

Many customers want to feel and touch the product in order to identify product quality. Thus, most of the customers prefer to purchase from window shops to touch-feel-try the products which may lead to hinder the market growth to some extent. In addition, the products shown in the pictures are sometimes misleading. The size, colour, and appearance are not images with electronic images. In addition, many people prefer to visit physical stores for examining the product though it consumes time. Further, the online payment mode is not much safe while doing payment transactions. Therefore, retailers and e-marketers are paying attention to finding out a solution to this issue.

However, the emergence of new technologies, good discounts, availability of different brands, time-saving processes, a wide range of products, and safer payment transactions are expected to surge the market growth during the forecast period.

Current Trends on Online Fashion Retail:

Development of new applications in online fashion retail platforms:

Increasing penetration of smartphones and the emergence of new technologies followed by the development of different applications have gained traction in the online fashion retail market. Solutions like Mobile body scanning technology are having a lucrative impact on the online fashion retail market size and shape. In addition, a solution like Mobile Tailor which allows customers to take body measurements remotely and contactless by using just two photos of them enables businesses to expand their reach. Furthermore, YourFit solution also helps shoppers to find out matching online shoppers in order to overcome size issues. Thus, the development of new applications in the fashion world is projected to expand the market growth in the future.

Impact of the COVID-19 pandemic on the Online Fashion Retail Market:

The outbreak of Covid-19 has significant impact on the global fashion retail market. As governments of several nations announced lockdown and social distancing regulations, the market has faced several damages during the Covid-19 pandemic. However, there are some positive impacts such as the emergence of new technologies i.e. ewallet, 360-degree videos, three-dimensional product view, and trying on clothes with augmented reality has gained traction during a pandemic. The online fashion market has gained traction among young consumers during the outbreak of COVID-19. UK-based eCommerce company BooHoo has reported that during the lockdown their sales has increased by 45% in May 2020.

As the online fashion retail industry is growing, fashion businesses need to adapt to changing circumstances. Due to the high competition in the sector, online fashion businesses have to implement new intelligent solutions which are going to recommend the right product to the right customer in real time. Introduction of Online Fashion Retail:

In the past decade, increasing usage of the internet has given new momentum to the online fashion retail market. Rising demand for designer dress...

Over the past pandemic year, a significant number of consumers in the United Kingdom (UK) have reported changes in their online shopping behavior. Specifically, in March 2020, about ** percent of UK shoppers said they had been shopping more online, compared to before the coronavirus (COVID-19) pandemic. By February 2021, however, this percentage had grown to approximately ** percent. By the same token, offline shopping has decreased over the analyzed period.

Online Apparel Retail Market Outlook

The global online apparel retail market size was valued at approximately USD 500 billion in 2023 and is expected to reach around USD 1.2 trillion by 2032, growing at a compound annual growth rate (CAGR) of 10.2% during the forecast period. The market's growth is propelled by the increasing penetration of the internet, rising disposable incomes, and evolving consumer preferences for the convenience of online shopping.

One of the primary growth factors for the online apparel retail market is the burgeoning internet penetration across the globe. With more people gaining access to the internet, the number of potential online shoppers is exponentially rising. This trend is particularly evident in developing regions, where internet connectivity is rapidly improving. Additionally, technological advancements in e-commerce platforms and the proliferation of smartphones have further facilitated easy access to online retail, contributing significantly to market expansion.

Another significant driver is the change in consumer behavior and preferences. Modern consumers, especially millennials and Gen Z, increasingly prefer the convenience of online shopping over traditional brick-and-mortar stores. The ability to shop at any time, compare prices instantly, and access a wider variety of products has made online apparel shopping highly appealing. Furthermore, the COVID-19 pandemic has accelerated the shift towards online retail as lockdowns and social distancing measures made in-store shopping less feasible, thus ingraining online shopping habits among consumers.

The role of personalized shopping experiences and advanced AI-driven recommendation systems cannot be overstated. E-commerce platforms are increasingly utilizing artificial intelligence to offer personalized recommendations based on a shopper's past behavior and preferences. This customization enhances the shopping experience, increases customer satisfaction, and boosts sales conversion rates. Moreover, augmented reality (AR) technologies are being used to provide virtual fitting rooms, allowing customers to try on clothes virtually, thereby reducing return rates and enhancing the overall shopping experience.

Regionally, North America and Europe are mature markets with high internet penetration and disposable income levels. However, Asia Pacific is emerging as a lucrative market with immense growth potential due to its large population base, increasing internet users, and rapidly growing middle class. Latin America and the Middle East & Africa are also expected to witness substantial growth, driven by improving internet infrastructure and rising economic development.

Product Type Analysis

The online apparel retail market is segmented by product type into men's wear, women's wear, kids' wear, and others. Among these, women's wear holds the largest market share, driven by the wide variety of products, frequent new fashion trends, and higher spending on clothing compared to other segments. Women's wear includes a vast array of clothing items, from casual and formal wear to sportswear and lingerie, catering to diverse consumer needs.

Women Apparel has emerged as a pivotal segment within the online apparel retail market, capturing the largest market share due to its expansive range of offerings and the continuous evolution of fashion trends. This segment encompasses a diverse array of clothing options, from everyday casual wear to high-end fashion pieces, catering to various consumer tastes and preferences. The increasing influence of social media and fashion influencers has played a significant role in shaping consumer demand for women's apparel, driving online sales and encouraging brands to innovate and expand their product lines. Furthermore, the convenience of online shopping allows consumers to explore and purchase the latest trends from the comfort of their homes, further fueling the growth of this segment.

Men's wear is another significant segment, witnessing steady growth due to the increasing interest of men in fashion and grooming. The availability of a wide range of apparel, from business suits to casual and activewear, is contributing to the growth of this segment. Moreover, the rise of influencer marketing and fashion bloggers has significantly impacted men's fashion choices, further driving online sales.

Kids' wear i

According to the results of Coronavirus Consumer Tracker conducted by Internet Retailing, coronavirus (COVID-19) had the most impact on takeaway food ordering habits of consumers. In the week ending May 6, more than ********* of UK consumers who took part in this tracker said they stopped ordering food online completely. Just over ** percent of consumers said they reduced ordering takeaway food.

For further information about the coronavirus (COVID-19) pandemic in the United Kingdom (UK) and elsewhere in the world, please visit our dedicated Facts and Figures page.

With crisis situations like the COVID-19 lockdown in France in March 2020, proximity shopping was a luxury that dense populations were not able to afford. In response, small and large established companies that have developed online communication offers have provided the opportunity to shop comfortably from home. Thus, when asked how French consumers behaviors with online shopping had changed, ** percent of the respondents asserted that shopping online was something that they had started recently, due to the lockdown measures set up by the French government.

The database contains the survey on the changes of gender time allocation during two waves of the coronavirus lockdown (self-isolative restrictions) in Russia. Self-isolation included shift to remote work and study, the closure of childcare facilities, restrictions of mobility, etc.

Sample information

The survey was conducted on Yandex.Survey platform. The first wave was conducted on 22-23 ^th of May, 2020, after 2 months of the beginning of first lockdown. The second wave took place on 17-19^th of November, 2020 after 1 month of the second lockdown’start.

Data was collected via online service Yandex.Survey. The platform offers a service for conducting an online survey among 50 million users of the Yandex advertising network with the ability to make a random sample, including a sample by demographic, geographic and some socio-economic characteristics.

The respondents were women of predominantly working/reproductive age (15-55) from Russia. 1411 women took part in the first wave and 1408 in the second. After cleaning data and removing outliers 2795 respondents left.

The coincidence of the distributions with the general population in terms of the main parameters (age, size of the settlement, employment, household composition) is satisfactory. The observed (insignificant) deviations are as follows: the proportion of women aged 30-43, living in cities with a population over one million has increased; decreased - at the age of 50-54 years, living in settlements with a population of less than 100 thousand people working in agriculture.

The female respondents were asked if they spend more or less time household chores and care, including: cleaning, cooking, laundry, shopping, management, child care, other care or nothing. If a woman marked, that she is living with a partner during the lockdown, she was also asked if her partner spends more or less time on each chore.

The survey also includes questions concerning the occupation type (work, work and study, study, child care leave, doesn’t work), if a woman works (or works and studies), how the lockdown effected on her job: shift to remote work, fired, paid leave, unpaid leave, no income on restrictions, continues in-person work, and if a woman lives with a partner the same question was asked considering his work on the lockdown. Further, occupational features were divided into three: income (or husband’s income) means that a woman (or her partner) has her income on the lockdown which includes remote work, in person work, paid leave; gotowork means a woman (in her partner’s case – husb_gotowork) continues in person work; and distant if a woman is working online (husb_distant for her partner). Further, we asked whether a woman has an experience of remote work: no, and it is impossible, no, but it is possible, yes. We also asked about the size and type of her employer (small, medium, large firm or state firm).

The next set of questions considers who a woman is living with on self isolation: alone, children, partner, parents, parents-in-law, others. At last, we asked respondents age, number of children and the age of the youngest child (if the number of children >0).

The database’ structure

Survey's wave variables

Social and demographic variables

age of female respondent

size of the city

number of children

the age of the youngest child

age at last birth

woman lives with her husband

woman lives with children

woman lives with children over 18 years old

woman lives with her parents

woman lives with her husband's parents

woman lives alone

woman lives with someone else

type of activity

how the lockdown effected female occupation

field of employment

type of enterprise where woman works (or does not)

there is wife's income in household

how the lockdown effected her husband's occupation

there is husband's income in household

woman's work experience at a remote location

woman has remote work in the period of lockdown

her husband has remote work in the period of lockdown

her husband has out of home work in the period of lockdown

woman has out of home work in the period of lockdown

her husband is fired or doesn't have income temporarily because of the lockdown

her husband was fired because of the lockdown

Time use variables: the changes in lockdown

WOMAN MORE

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

WOMAN LESS

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

HER HUSBAND MORE

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

HER HUSBAND LESS

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

TOGETHER MORE

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

TOGETHER LESS

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

INSTEAD MORE

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

INSTEAD LESS

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

There are English and Russian versions of variables’ description.

During exploratory data analysis we introduced features instead or together. These new features are restricted to answers of women who live with partners. Whether a woman marks that she spends less(more) time on the chore and her husband spends more(less) time on that exact type of chore, that means he does it instead of his wife. Whether both a woman and her partner spend more (less) time one the chore, it means they do it together.

The variable “type of enterprise” was built on the criteria of credibility and stability during the corona-crisis from a small to a state firm (small, medium, large, state firm). Small and medium enterprises were hit the most by the pandemic (http://doklad.ombudsmanbiz.ru/2020/7.pdf), whether large and especially state firms had more resources to maintain employment and payments.

Live Video Shopping App Market Outlook

According to our latest research, the global Live Video Shopping App market size reached USD 8.2 billion in 2024, with a robust year-on-year growth. The market is expected to expand at a CAGR of 19.7% from 2025 to 2033, culminating in a projected value of USD 39.3 billion by 2033. This impressive growth is primarily driven by the increasing adoption of interactive e-commerce solutions, rising smartphone penetration, and the growing demand for real-time, immersive shopping experiences across retail and brand platforms worldwide.

The surge in demand for live video shopping apps is fundamentally anchored in the evolving consumer preferences for interactive and personalized shopping experiences. Unlike traditional online shopping, live video shopping apps offer consumers the ability to engage with hosts, ask questions, and see products demonstrated in real time. This interactive format not only bridges the gap between online and in-store experiences but also enables brands and retailers to foster greater trust and transparency with their audiences. The proliferation of high-speed internet and the widespread adoption of smartphones have further accelerated this trend, making live video shopping accessible to a broader demographic. Additionally, social media integration and influencer marketing have amplified the reach and effectiveness of live shopping events, driving higher conversion rates and boosting overall market growth.

The technological advancements in streaming solutions and AI-driven personalization have significantly enhanced the capabilities of live video shopping platforms. These apps now leverage artificial intelligence to recommend products, tailor content, and optimize user engagement, creating a seamless and highly personalized shopping journey. The integration of augmented reality (AR) and virtual try-on features further elevates the user experience, allowing consumers to visualize products in real-time before making a purchase. Such innovations have not only attracted tech-savvy millennials and Gen Z consumers but have also encouraged traditional retailers to embrace digital transformation. As a result, brands are increasingly investing in proprietary live shopping platforms or partnering with third-party providers to capture the growing demand for interactive commerce.

Another key growth factor is the increasing collaboration between e-commerce platforms, brands, and marketplaces to host exclusive live shopping events. These partnerships have enabled brands to reach a wider audience and create a sense of urgency and excitement around product launches and limited-time offers. The COVID-19 pandemic further accelerated the adoption of live video shopping, as lockdowns and social distancing measures prompted both retailers and consumers to seek alternative ways to connect and transact. Even as physical stores reopen, the convenience and engagement offered by live shopping apps continue to drive their popularity, suggesting a lasting shift in the retail landscape. The ability to collect real-time data and analytics during live sessions also empowers brands to refine their strategies and deliver more relevant content to their audiences.

Regionally, the Asia Pacific market stands out as the dominant force in the live video shopping app industry, driven by the early adoption of live commerce in countries like China and South Korea. North America and Europe are also witnessing rapid growth, fueled by the increasing popularity of influencer-driven commerce and the expansion of digital infrastructure. Latin America and the Middle East & Africa are emerging markets with significant untapped potential, as rising internet penetration and smartphone usage create new opportunities for live shopping platforms. Overall, the global live video shopping app market is poised for sustained growth, supported by technological innovation, changing consumer behaviors, and expanding digital ecosystems across regions.

Component Analysis

The live video

Live Video Shopping Assistant Market Outlook

According to our latest research, the global Live Video Shopping Assistant market size reached USD 1.28 billion in 2024 and is expected to grow at a robust CAGR of 16.7% from 2025 to 2033, reaching a projected market value of USD 5.01 billion by 2033. This remarkable growth is driven by increasing digitalization in retail, evolving consumer preferences for interactive and personalized shopping experiences, and the rapid adoption of advanced streaming and AI technologies across both developed and emerging economies. The market’s expansion is further fueled by the proliferation of e-commerce platforms and the demand for seamless, real-time customer engagement solutions.

A key growth factor for the Live Video Shopping Assistant market is the rising consumer demand for immersive and interactive online shopping experiences. Traditional e-commerce, while convenient, often lacks the personal touch and real-time assistance that many shoppers desire. Live video shopping assistants bridge this gap by enabling direct, real-time interaction between customers and sales representatives or product experts. This not only enhances product understanding and trust but also reduces purchase hesitancy, leading to higher conversion rates. The integration of AI-driven features, such as personalized recommendations and instant query resolution, further amplifies the value proposition of these solutions, making them indispensable tools for retailers aiming to differentiate themselves in a competitive landscape.

Another major driver is the rapid technological advancements in streaming, artificial intelligence, and machine learning, which have made live video shopping platforms more scalable, reliable, and user-friendly. High-speed internet penetration, the ubiquity of smartphones, and advancements in cloud computing have collectively enabled businesses of all sizes to deploy live video shopping assistants with minimal technical barriers. Additionally, the integration of augmented reality (AR) and virtual reality (VR) technologies is enhancing the visual and interactive quality of live shopping sessions, allowing customers to virtually try products and make informed purchasing decisions. These technological innovations are not only improving user engagement but are also enabling brands to collect valuable customer data, which can be leveraged for targeted marketing and product development.

The COVID-19 pandemic has also played a pivotal role in accelerating the adoption of live video shopping assistants. With lockdowns and social distancing measures disrupting traditional brick-and-mortar retail, both consumers and businesses turned to digital channels for shopping and engagement. Live video shopping emerged as a powerful alternative, offering a personalized and interactive experience that closely mimics in-store interactions. This shift in consumer behavior is expected to persist beyond the pandemic, as both retailers and shoppers have grown accustomed to the convenience, efficiency, and engagement offered by live video shopping platforms. As a result, the market is poised for sustained growth, with retailers continuously investing in innovative solutions to enhance customer experience and drive sales.

From a regional perspective, Asia Pacific is leading the adoption of live video shopping assistants, driven by the strong presence of e-commerce giants, tech-savvy consumers, and innovative retail ecosystems in countries like China, South Korea, and Japan. North America and Europe are also witnessing significant growth, fueled by increasing investments from major retailers and brands seeking to enhance their digital engagement strategies. Meanwhile, emerging markets in Latin America and the Middle East & Africa are gradually embracing live video shopping solutions, supported by improving digital infrastructure and rising internet penetration. As regional markets mature, the competitive landscape is expected to intensify, with local and global players vying for market share through product innovation, strategic partnerships, and localized offerings.

Component Analysis

The Live Video Shopping Assistant market is segmented by component into software, hardware, and services, each playing a distinct role in the ecosystem. The software segment encompasses the core platforms and applications that facilitate live video interactions, real-time chat, product recommendations, and integration with e-commerce syste

The use of online retail apps dropped as per the results of a survey on the impact of the coronavirus (COVID-19) pandemic and subsequent lockdown across India. At the peak of the the lockdown, online shopping was at ** percent, but increased to ** percent with easing restrictions.

Since the start of the pandemic, consumers have been spending more time online due to strict lockdown conditions. Simultaneously, consumers show concern for product origin and authenticity. This change in consumer behavior especially affects the Personal Inter-Connections trend, which sits at the intersection of the Digitalization and Comfort & Uncertainty mega-trends. In essence, interactions with other shoppers (i.e. peers, friends, and family) have become a key part of the consumer journey. Read More

According to a survey conducted by Rakuten Insight, around **** percent of respondents stated that they considered purchasing the items they bought during the pandemic after the measures have been lifted. The same survey found that around **** percent of surveyed purchased more online during the pandemic.

Christmas Ornament Market Outlook

According to our latest research, the global Christmas Ornament market size reached USD 7.9 billion in 2024, reflecting a robust consumer demand for festive decorations across the globe. The market is projected to expand at a CAGR of 5.1% from 2025 to 2033, with the total market value forecasted to reach USD 12.5 billion by 2033. This steady growth is driven by factors such as increasing disposable incomes, evolving consumer preferences for seasonal home décor, and the rising influence of Western holiday traditions in emerging markets. As per our latest research, the Christmas Ornament market is witnessing a dynamic shift, with both traditional and contemporary designs gaining traction, and a significant uptick in online sales channels.

The primary growth driver for the Christmas Ornament market is the surge in global festive spending, particularly during the holiday season. Consumers worldwide are increasingly prioritizing home aesthetics and ambiance, leading to higher expenditure on decorative items such as Christmas ornaments. The trend is further amplified by social media platforms, where festive décor inspiration is widely shared, encouraging consumers to invest in unique and personalized ornaments. Additionally, the tradition of gifting ornaments, both as keepsakes and collectibles, has gained momentum, supporting consistent year-on-year growth. The market is also witnessing an increased inclination towards premium and handcrafted ornaments, reflecting consumers’ desire for exclusivity and meaningful holiday experiences.

Another significant factor propelling market expansion is the diversification of product offerings by manufacturers and retailers. The introduction of ornaments made from eco-friendly materials, such as recycled glass and sustainable wood, caters to the growing segment of environmentally conscious consumers. Innovations in design, including customizable and themed ornaments, appeal to a broader demographic, encompassing both traditionalists and younger consumers seeking contemporary styles. Furthermore, collaborations with artists and designers have resulted in limited-edition collections, further driving demand. The commercial sector, including hotels, shopping malls, and restaurants, is increasingly investing in large-scale and bespoke ornament installations to create immersive festive experiences, thereby contributing substantially to market revenues.

E-commerce has emerged as a transformative force in the Christmas Ornament market, providing consumers with unparalleled access to a diverse array of products. Online stores offer convenience, competitive pricing, and the ability to compare styles and prices, which has led to a significant shift in purchasing behavior. The COVID-19 pandemic accelerated this trend, with more consumers opting for online shopping due to safety concerns and lockdown restrictions. As a result, online sales channels are expected to maintain their strong growth trajectory, supported by advancements in logistics, flexible payment options, and targeted digital marketing strategies. Retailers are also leveraging augmented reality and virtual try-on tools to enhance the online shopping experience, further boosting market growth.

From a regional perspective, North America and Europe continue to dominate the Christmas Ornament market, accounting for the largest shares due to deeply rooted holiday traditions and high per capita spending on festive decorations. However, the Asia Pacific region is rapidly emerging as a lucrative market, driven by rising disposable incomes, urbanization, and the adoption of Western holiday customs. Countries such as China, Japan, and India are witnessing increased demand for Christmas ornaments, both for residential and commercial applications. Latin America and the Middle East & Africa are also experiencing gradual growth, supported by expanding retail infrastructure and the growing popularity of themed events and celebrations. The regional outlook remains optimistic, with each market presenting unique opportunities and challenges for industry stakeholders.

In addition to ornaments, Christmas Garland has become an essential component of holiday décor, offering versatility and elegance to any setting. These garlands, often adorned with lights, ribbons, and miniature ornaments, are used to e

Background: The COVID-19 pandemic disrupted the global economy and modified lifestyles. The aim of our study was to identify factors associated with dietary quality, and their frequency, in Mexican adults at the initial and later stages of the pandemic.Methods: Two online surveys were conducted between June and July 2020 (n = 3,131) and between November and December 2020 (n = 1,703 including non-participants from 1st round). A diet quality score was estimated using a short instrument to measure the consumption of several healthy/unhealthy food items. Linear regression models were used to identify the association between pandemic related factors and the diet quality score, adjusted by sociodemographic characteristics. The 2nd round was weighted to represent the 1st round.Results: During the 1st and 2nd rounds only ~12% of the sample perceived that their intake of healthy food decreased, relative to before the pandemic; ~20% perceived that their intake of unhealthy foods increased. Diet quality remained similar between the 1st and 2nd round. The following factors were negatively associated with diet quality: Eating food prepared away-from-home; going out to work ≥4 times/week; decreased time for food preparation; decreased interest in eating healthy; eating more due to anxiety, depression, or boredom; food insecurity; and stockpiling junk food. Purchasing food using a mixed modality of both in-store and home delivery was positively associated with diet quality. With the exception of eating more due to anxiety (reported by 47% of participants), all these factors were reported by a minority of participants during the first round (≤15%). During the 2nd round, there was an increase in the frequency of participants who reported eating food prepared away-from-home, going out to work ≥4 times/week, having less time to prepare food, being more interested in eating healthfully, and a decrease in participants eating more due to anxiety, depression or boredom, or stockpiling junk food.Conclusions: Most participants perceived that their dietary intake improved during both initial and later stages of the pandemic. This might be related to factors associated with higher dietary quality, such as not going out to work, eating homemade food, and online grocery shopping.