As of March 15, 2020, 81 percent of respondents in the United States stated that they expected any food and supply shortages at local grocery stores during the coronavirus pandemic to be caused by people stockpiling goods as opposed to supply and distribution disruptions.
For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

As of March 15, 2020, almost nine out of ten respondents from the United Kingdom stated that they expected any food and supply shortages at local grocery stores during the coronavirus pandemic to be caused by people stockpiling goods as opposed to supply and distribution disruptions. In comparison, respondents from China and Russia believed that there was an almost equal chance of food and supply shortages to be due to stockpiling or supply chain disruption.
For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Most consumers were at least somewhat confident in the ability of food manufacturers to supply the food needs of consumers for the following month in the United States as of May 2020. Only three percent of respondents stated that they were not at all confident in the resiliency of the food supply.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Who is affected by the food shortage in Britain? Between March 16 and 27, 2022, an average of 12 percent of responding grocery shoppers experienced a shortage of essential food items. Millennials and their Generation X compatriots were more strongly affected by food shortages than other groups. Approximately 16 percent of respondents between 30 and 49 years of age reported that they experienced a shortage of essential food items. That was four percent above the country average. The difference between the genders was much smaller than the age differences.

Series Name: Prevalence of severe food insecurity in the adult population (percent)Series Code: AG_PRD_FIESSRelease Version: 2021.Q2.G.03 This dataset is part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 2.1.2: Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES)Target 2.1: By 2030, end hunger and ensure access by all people, in particular the poor and people in vulnerable situations, including infants, to safe, nutritious and sufficient food all year roundGoal 2: End hunger, achieve food security and improved nutrition and promote sustainable agricultureFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

How bad is the food shortage in Britain really? Between September 22 and October 3, 2021, an average of 17 percent of responding grocery shoppers experienced a shortage of essential food items. Over a fifth of all respondents experienced shortages of non-essential food items. The shortage of food items, brought on by a shortage of lorry drivers in the wake of Brexit, was worst in the North East and East Midlands, where 21 percent of respondents experienced a shortage of essential items. Scotland had the highest share of responding consumers experiencing a shortage of other food items. By October the 17th the percentage of respondents experiencing shortages of essential food items in Britain had only declined by one percent.

The global food prices have surged to historical highs, and there is no consensus on the reasons behind this round of price increases in academia. Based on theoretical analysis, this study uses monthly data from January 2000 to May 2022 and machine learning models to examine the root causes of that period’s global food price surge and global food security situation. The results show that: Firstly, the increase in the supply of US dollars and the rise in oil prices during pandemic are the two most important variables affecting food prices. The unlimited quantitative easing monetary policy of the US dollar is the primary factor driving the global food price surge, and the alternating impact of oil prices and excessive US dollar liquidity are key features of the surge. Secondly, in the context of the global food shortage, the impact of food production reduction and demand growth expectations on food prices will further increase. Thirdly, attention should be paid to potential agricultural import supply chain risks arising from international uncertainty factors such as the ongoing Russia-Ukraine conflict. The Russian-Ukrainian conflict has profoundly impacted the global agricultural supply chain, and crude oil and fertilizers have gradually become the main driving force behind the rise in food prices.

As of March 19, 2020, Walmart had a combined out-of-stock rate of 33 percent. The out-of-stock rate was calculated by dividing the number of "completely out-of-stock" shelves by the total number of shelves audited.
For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

This table contains data on the average cost of a market basket of nutritious food items relative to income for female-headed households with children, for California, its regions, counties, and cities/towns. The ratio uses data from the U.S. Department of Agriculture and the U.S. Census Bureau. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. An adequate, nutritious diet is a necessity at all stages of life. Inadequate diets can impair intellectual performance and have been linked to more frequent school absence and poorer educational achievement in children. Nutrition also plays a significant role in causing or preventing a number of illnesses, such as cardiovascular disease, some cancers, obesity, type 2 diabetes, and anemia. At least two factors influence the affordability of food and the dietary choices of families – the cost of food and family income. The inability to afford food is a major factor in food insecurity, which has a spectrum of effects including anxiety over food sufficiency or food shortages; reduced quality or desirability of diet; and disrupted eating patterns and reduced food intake. More information about the data table and a data dictionary can be found in the Attachments.

In 2023, North Korea faced a food shortage estimated at about 860,000 metric tons. Over the past decades, the demand for food has consistently increased, while food production has fallen short of meeting the demand.

Panic-buying and stockpiling during Covid disrupted the supply chain, causing food shortages and impacting the vulnerable. The government faced criticism for its lack of food system resilience, poor communications planning, and reliance on retailers. The British media frequently reported on panic-buying during early lockdown stages in 2020 and throughout Covid. The media play an important role in communicating information to the British public during times of crisis and influence public opinion. This mixed-method study examined English media portrayal of panic-buying, analysing text and visual data from six of the highest-circulating newspapers from March to July 2020. It reviewed reporting trends, use of imagery, themes, and prominent stakeholder voices. Content analysis of 209 articles showed that coverage was dominated by popular and left-wing press, with 89% of articles using sensationalised language and 68% coded as negative. In a subset of 125 articles, visual imagery showed empty shelves in 64% of analysed images, reinforcing the impression of food shortages. Supermarkets were the most quoted stakeholders, appearing in 62% of articles. Contradictions included reports of no food shortages alongside images of empty shelves and early newspaper advice encouraging stockpiling. Reporting peaked between March 16–22, 2020. Six key themes were identified: supermarket prominence, food supply/access, food policy, individual behaviour, socio-economic impacts, and panic-buying drivers—all themes had relevance to food system resilience. Future civil unrest linked to food-system challenges, potentially driven by climate change, conflict, or political instability, could see panic-buying play a significant role. Research on media portrayals of panic-buying can help policymakers enhance communication strategies and identify critical issues during crises. The Covid pandemic revealed crucial lessons about the media’s potential role in shaping public behaviour, highlighting the need for stronger government communication and collaboration with both the media and retailers to ensure consistent messaging, particularly to protect vulnerable groups.

Food Automation Market Size And Forecast

Food Automation Market size was valued at USD 12.02 Billion in 2024 and is projected to reach USD 19.85 Billion by 2031, growing at a CAGR of 6.47% from 2024 to 2031.

Global Food Automation Market Drivers

The market drivers for the Food Automation Market can be influenced by various factors. These may include:

Growing Need for Process Optimization: Food automation contributes to the optimization of several food production, packaging, and distribution processes, resulting in higher productivity and lower expenses. As the market for packaged and processed foods expands, producers are implementing automation technologies more frequently to optimize their processes.

Tight Food Safety rules: To guarantee the quality and safety of food items, governments all over the world are putting strict food safety rules into place. Food companies can stay in compliance with these rules by using automation technologies to improve hygiene standards, traceability, and quality control throughout the production process.

Rising Labor Costs and Shortages: The food industry is dealing with issues connected to labor shortages, particularly for repetitive or physically demanding work. Labor costs are also on the rise in many places. Automation solutions can help with these issues by lowering the need for manual labor and raising output.

Demand for Higher-Quality and More Consistency in Product Taste, Texture, and Appearance: Food goods of superior quality and consistency are becoming more and more in demand from consumers. Robotics, sensors, and artificial intelligence are examples of automation technologies that can help maintain consistency in manufacturing processes, improving quality control and customer satisfaction.

Requirement for Greater Production Capacity: The demand for food items is rising as a result of dietary changes and the world’s expanding population. Food producers can effectively increase their production capacity to satisfy this growing demand without sacrificing quality or safety thanks to automation.

Technological Developments: Automation solutions are now more accessible, reasonably priced, and powerful than ever because to ongoing developments in automation technologies, including as robotics, artificial intelligence, machine learning, and the Internet of Things (IoT). More complex and effective solutions are being developed in the food automation sector as a result of these technical breakthroughs spurring creativity.

Emphasis on Sustainability and Environmental Concerns: Food producers are putting more of an emphasis on environmental issues and sustainability, including cutting back on energy use, limiting food waste, and employing eco-friendly packaging materials. By increasing productivity, lowering environmental impact, and optimizing resource use, automation can support sustainability objectives.

Growing Industry 4.0 Practice Adoption: Industry 4.0 practices—which combine digital technologies with conventional manufacturing processes—are becoming more and more popular in a number of industries, including the food industry. Because it facilitates adaptive production processes, predictive maintenance, and real-time data monitoring, food automation is essential to achieving Industry 4.0’s goals.

According to Cognitive Market Research, the global agricultural supply chain service market was estimated at USD 1.01 billion in 2024 and will grow at a compound annual growth rate (CAGR) of 12.8% from 2024 to 2031. How are Emerging Trends Influencing the Agricultural Supply Chain Service Market Dynamics?

Increasing Cloud-based Deployments in the Agriculture Value Chain to Provide Viable Market Output

Cloud-based software is becoming more popular in the agricultural supply chain service business. This is attributed to the multiple operational & economic advantages that cloud software provides over an on-premises deployment model. In addition, cloud agriculture supply chain management is simple to set up and offers a pay-per-use license. This enables firms to reduce their overall costs while also modernizing their processes. Moreover, agriculture supply chain services providers are concentrating on improving their current portfolio, which is further expected to lower the costs of their solutions.

For example, in October 2021, FCE GROUP AG collaborated with Synergos-Nigeria, a non-profit organization dedicated to improving the lives of smallholder farmers in Nigeria. Around 450,000 farmers in Nigeria received digital tools along with access to a cloud platform for supply chain traceability, digital identification, and a payment system with traditional & alternative payment methods as part of the project to transform agricultural practices, improve living conditions, and increase food security.

(Source:www.blueprint.ng/synergos-nigeria-partners-swiss-fce-group-to-digitise-agric-sector/)

Other advantages, such as faster deployment, enhanced visibility, and greater flexibility, continue to drive cloud SCM usage, adding considerably to the growth of the agricultural supply chain service industry.

Growing awareness regarding food insecurity around the world is driving market demand

The Key Challenges are Hampering the Progress of the Agricultural Supply Chain Service Market

Supply Chain Disruptions and Vulnerabilities to Impede Market Growth

One of the key restraints in the global agricultural supply chain service market is the vulnerability to supply chain disruptions caused by various factors such as extreme weather events, natural disasters, geopolitical tensions, and disease outbreaks. These disruptions can significantly impact the availability and distribution of agricultural products, leading to shortages, price fluctuations, and inefficiencies across the supply chain. For example, a drought in a major agricultural region can reduce crop yields, affecting the quantity and quality of products entering the supply chain. Similarly, trade disputes or transportation disruptions can disrupt the flow of goods, leading to delays and increased costs. Such uncertainties highlight the need for robust risk management strategies and adaptable supply chain solutions to mitigate the impact of disruptions.

Impact of the COVID-19 Pandemic on the Agricultural Supply Chain Service market:

The agricultural supply chain service market faced a significant COVID-19 impact as the pandemic disrupted global trade, labor availability, and consumer behavior. Lockdowns, restrictions, and logistical challenges disrupted the movement of agricultural products, leading to supply chain bottlenecks and price fluctuations. Labor shortages in various parts of the world impacted planting, harvesting, and processing activities, affecting production and distribution. Besides, shifting consumer preferences towards online purchasing and local sourcing prompted adaptations in distribution channels and the adoption of digital solutions. The pandemic highlighted vulnerabilities in the supply chain, driving the need for improved resilience, visibility, and agility in agricultural supply chain services to address future disruptions effectively. Introduction of Agricultural Supply Chain Service:

Agricultural supply chain services refer to the variety of goods and services required for an agricultural product to flow from the producer to the final consumer. This comprises manufacturing, processing, packaging, shipping, marketing, and distribution. Agricultural supply chain services seek to add value for all actors in the ecosystem, from small farmers to consumers. Donors, governments, and other organizations frequently provide assistance and funds to upgrade and solidify agricul...

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Artificial Intelligence (AI) In Food And Beverage Industry Market Size 2025-2029

The artificial intelligence (ai) in food and beverage industry market size is forecast to increase by USD 32.2 billion at a CAGR of 34.5% between 2024 and 2029.

The Artificial Intelligence (AI) market in the Food and Beverage Industry is experiencing significant growth due to the rising demand for automation to enhance productivity and efficiency. The integration of AI and the Internet of Things (IoT) in this sector is revolutionizing various processes, from supply chain management to quality control and customer experience. However, the lack of skilled personnel with expertise in AI and data analytics poses a challenge for market expansion. Key drivers for the market include the increasing adoption of advanced technologies to optimize production processes, reduce costs, and improve product quality. The integration of AI in food and beverage manufacturing enables predictive maintenance, real-time inventory management, and automated quality control, leading to increased operational efficiency and profitability. Additionally, AI-powered customer engagement tools offer personalized recommendations and improved customer experience, creating new revenue streams for companies. Despite these opportunities, the market faces challenges, including the need for significant investment in AI infrastructure and the lack of skilled personnel to implement and manage these systems. Companies seeking to capitalize on the AI market in the Food and Beverage Industry must focus on building a strong talent pool and collaborating with technology partners to overcome these challenges. By leveraging AI, food and beverage companies can gain a competitive edge, streamline operations, and deliver innovative products and services to meet evolving consumer demands.

What will be the Size of the Artificial Intelligence (AI) In Food And Beverage Industry Market during the forecast period?

Request Free SampleThe artificial intelligence (AI) and machine learning (ML) market in the food and beverage industry is experiencing significant growth due to the increasing adoption of these technologies to enhance supply chain management, predict consumer behavior, and optimize transportation. AI and ML are revolutionizing various aspects of the food and beverage sector, from recipe development and product tracing to supply chain efficiency and labor management. Predictive analytics is a key application of AI in the industry, enabling companies to anticipate demand patterns and optimize inventory levels. Social media channels are also leveraged to analyze consumer preferences and trends, informing product development and marketing strategies. The food and beverage industry faces a labor shortage, particularly in manual labor positions, leading to increased interest in automation and AI solutions. Large-scale implementation of AI in the industry is improving supply chain dynamics, reducing labor costs, and increasing speed and accuracy in various processes. Farmers are also utilizing AI and ML to optimize crop yields and manage resources more efficiently. Product tracing and quality control are other areas where AI is making a significant impact, ensuring food safety and transparency throughout the supply chain. Overall, the integration of AI and ML in the food and beverage industry is transforming business operations, enhancing customer experience, and driving growth in this dynamic market.

How is this Artificial Intelligence (AI) In Food And Beverage Industry Industry segmented?

The artificial intelligence (ai) in food and beverage industry industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeTransportation and logisticsProduction planningQuality controlOthersEnd-userFood processing industryHotels and restaurantsBeverage industryGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaSouth AmericaMiddle East and Africa

By Type Insights

The transportation and logistics segment is estimated to witness significant growth during the forecast period.In the food and beverage industry, there is a rising demand for artificial intelligence (AI) and machine learning solutions to optimize operations and enhance supply chain efficiency. This trend is driven by the need for flexibility and swift returns processing, as well as labor shortages and increasing labor costs. Advanced technologies, such as photoelectric sensors, material handling, and assembly applications, are being integrated into the industry to improve sorting processes, reduce contamination levels, and ensure uniformity in food storage. AI platforms are also being used for data analytics to better understand consumer purchasing beh

The global catering and food service contractor market is projected to reach USD XX million by 2033, expanding at a CAGR of XX% during the forecast period (2025-2033). The market is primarily driven by rising urbanization, increasing disposable income, and growing demand for convenience food. The expansion of the tourism and hospitality sector, coupled with the growing trend of corporate events and conferences, is further bolstering the market growth. Key industry players include Compass Group, Sodexo, Aramark Corporation, Elior Group, and Delaware North. The competitive landscape is characterized by mergers and acquisitions, technological advancements, and a focus on sustainability. Regional growth is expected to be prominent in emerging markets, such as Asia Pacific, Latin America, and the Middle East, due to increasing disposable income and urbanization. Key market segments include application (healthcare, education, corporate, government, and other) and type (on-site, off-site, and vending). The market is subject to restraints, including regulatory compliance, labor shortage, and supply chain disruptions. However, ongoing technological advancements, such as the adoption of automation and AI, are expected to present opportunities for industry participants.

The Tasmania Project was established by the Institute for Social Change at the University of Tasmania to understand how Tasmanians are experiencing and adjusting to the social, political and economic responses to COVID-19. The project aims to support immediate and longer term social and economic decisions by providing useful, evidence-based and timely information, and share Tasmanian residents' experiences and ideas through this critical period and beyond.

This dataset is for the Food Survey, which was open from 20 May - 6 June 2020 and had a final sample size of 1170 respondents. The survey consisted of five sections: 1. Access to food, 2. Tasmanian produce, 3. Seafood consumption, 4. Food supply, 5. Demographic information.

Percentage of articles that include the most mentioned sub-theme within each main theme.

Abstract

Food security has become a burring issue in Ethiopia since it is an absolute prerequisite for political and social stability. It received national prominence in the aftermath of the recurring drought and famine and obviously became an immediate domestic policy concern. The gap between the dire need for food supply is compounded by rapidly increasing population, depletion of natural resources and the existing traditional way of farming. It even requires sacrifice to provide adequate supply of food in such a situation where natural and human factors have negatively impacted in the agricultural production and resulted in recurrent droughts and sometimes in catastrophe. Pressed by these problems and other economic factors, the Ethiopian government has centered its agricultural policy on ensuring food security by allocating more resources to increase agricultural production so as to ward off food shortage and ensure continuous adequate supply of food. To monitor and evaluate the performance of the policy and the trends in the charging patterns in agricultural, statistical information on agriculture is required as an input since agriculture is a primary activity connected with food availability. The Central Statistical Agency (CSA) has been generating statistical information used as inputs in the formulation of agricultural policies by collecting processing and summarizing reliable, comprehensive and timely data on the country's agriculture. As part of this mission the 2003-2004 (1996 E.C) Annual Agricultural Sample Survey was conducted to furnish data on cropland area and production of crops within the private peasant holdings for Main (“Meher”) season of the quoted year.

The general objective of CSA's annual Agricultural Sample Survey (AgSS) is to collect basic quantitative information on the country's agriculture that is essential for planning, policy formulation, food security, etc. The survey is composed of four components: Crop production forecast survey. Main (“Meher”) season survey, Livestock survey and “Belg” season survey.

The specific objectives of Main (“Meher”) season survey are: - To estimate the total cultivated area, production and yield of crops. - To estimate the total volume of inputs used, inputs applied area and number of holders using inputs. - To estimate the total cultivated area and other forms of land use.

Geographic coverage

The 2003-2004 annual Agricultural Sample Survey covered the entire rural parts of the country except all zones of Gambella region, and the non-sedentary population of three zones of Afar and six zones of Somali regions.

Note: The crop cutting exercise part of the survey from November 2003 up to January 2004 was not done in Gambela regional state, therefore no production estimates for the region was computed for Meher (main) season.

Analysis unit

Agricultural household/ Holder/ Crop

Universe

Agricultural households

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Frame: The list containing EAs of all regions and their respective agricultural households obtained from the 2001/02 Ethiopian Agricultural Sample Enumeration (EASE) was used as the sampling frame in order to select the primary sampling units (EAs). Consequently, all sample EAs were selected from this frame based on the design proposed for the survey. Sample Design A stratified two-stage cluster sample design was used to select the sample. Enumeration Areas (EAs) were taken to be the primary sampling units (PSUs) and the secondary sampling units (SSUs) were agricultural households. Sample enumeration areas from each stratum were sub-samples of the 2001/02 (1994 E.C) Ethiopian Agricultural Sample Enumeration. They were selected using probability proportional to size systematic sampling; size being number of agricultural households obtained from the 1994 Population & Housing Census and adjusted for the sub-sampling effect. Within each sample EA a fresh list of households was prepared and 25 agricultural households from each sample EA were systematically selected at the second stage. The survey questionnaire was finally administered to the 25 agricultural households selected at the second stage. Information on area under crops and Meher season production of crops was obtained from the 25 households that were ultimately selected. It is important to note, however, that data on crop cutting were obtained only from fifteen sampled households (the 11th - 25th households selected).

The sample size for the 2003-04 agricultural sample survey was determined by taking into account both the required level of precision for the most important estimates within each domain and the amount of resources allocated to the survey. In order to reduce non- sampling errors, manageability of the survey in terms of quality and operational capability was also considered. Except Harari, Addis Ababa and Dire Dawa, where each region as a whole was taken to be the domain of estimation; each zone of a region / special wereda was adopted as a stratum for which major findings of the survey are reported.

Mode of data collection

Face-to-face [f2f]

Research instrument

The 2003-2004 annual Agricultural Sample Survey used structured questionnaires to collect agricultural information from selected sample households. List of forms in the questionnaires: - AgSS Form 96/0: Used to list all households and agricultural holders in the sample enumeration areas. - AgSS Form 96/1: Used to list selected households and agricultural holders in the sample enumeration areas. - AgSS Form 96/3A: Used to list fields under temporary crops and farm management practice. - AgSS Form 96/3B: Used to list fields under permanent crops and farm management practice. - AgSS Form 96/3C: Used to list fields under mixed crops and farm management practice. - AgSS Form 96/3D: Used to collect information about other land use type and area and other agricultural related questions. - AgSS Form 96/5: Used to list temporary crop fields for selecting crop fields for crop cutting. - AgSS Form 96/6: Used to collect information about temporary crop cutting results.

Cleaning operations

Editing, Coding and Verification: Statistical data editing plays an important role in ensuring the quality of the collected survey data. It minimizes the effects of errors introduced while collecting data in the field , hence the need for data editing, and verification. An editing, coding and verification instruction manual was perpared and reproduced. Then 65 editors-coders and verifiers were trained for two days in editing , coding and.verification using the aforementioned manual as a reference and teaching aid. The completed questionnaires were edited, coded and later verified on a 1OO % basis before the questioners were passed over to the data entry unit. The editlng, coding and verification exercise of all questionnaires took 40 days.

Data Entry, Cleaning and Tabulation: Before data entry, the Natural resource and Agricultural Statistics Department prepared edit specification for the survey for use on personal computers for data consistency checking purposes . The data on the edited and coded questionnaires were then entered into personal computers. The data were then checked and cleaned using the edit specification prepared earlier for this purpose. The data entry operation involved about 64 data encoders and it took 50 days to finsh the job. Finally, tabulation was done on personal computers to produce statistical tables as per the tabulation plan.

Response rate

A total of 2,072 enumeration areas were initially selected to be covered by the survey, however, due to various reasons 16 EA's were not covered and the survey was successfully carried out in 2,056 (99.23 %) EAs. As regards the ultimate sampling unit, it was planned to conduct the survey on 51,800 agricultural households and 51,300 (99.03 %) households were actually covered by the Meher season Agricultural Sample Survey.

Sampling error estimates

Estimation procedure of totals, ratios, sampling error and the measurement of precision of estimates (CV) are given in Appendix I and II of 2003-2004 Agricultural Sample Survey, Volume I report.

Data appraisal

As it was explained in the response rate under sampling section, the non response rate was minimal. There is no testing for bias made in this survey.

This table contains 792 series, with data for years 1992 - 2008 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Manufacturers' opinions (21 items: Production difficulties, skilled labour shortage; Production difficulties, unskilled labour shortage; Production difficulties, raw material shortage; Production difficulties, working capital shortage; ...), North American Industry Classification System (NAICS) (22 items: Manufacturing; Food manufacturing; Beverage and tobacco product manufacturing; Textile mills; ...), Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted).

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Coriander Oil Market Size 2024-2028

The coriander oil market size is forecast to increase by USD 32.2 million at a CAGR of 8.5% between 2023 and 2028.

The market is experiencing significant growth due to the numerous health benefits associated with this essential oil. Consumers are increasingly seeking out natural remedies for various ailments, leading to an increase in demand for coriander oil. Additionally, the use of coriander oil as a natural preservative to increase the shelf life of food products is a growing trend. However, the market is facing challenges due to a reduction in coriander seed growing areas, which may lead to supply shortages and price fluctuations. Producers are responding by exploring alternative growing regions and improving yield through innovative farming techniques. Overall, the market is expected to continue its growth trajectory, driven by consumer demand for natural health solutions and food preservatives.

What will be the Size of the Market During the Forecast Period?

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The market is experiencing significant growth due to the increasing demand for natural ingredients in various industries, including cosmetics and food products. Extraction techniques for coriander oil, derived from the seeds of the Coriandrum sativum plant, have evolved to yield higher quantities while maintaining the herbaceous aroma and distinctive flavor. Organic and non-GMO coriander oil is particularly popular, as consumers seek sustainable sourcing and natural ingredients for their personal care, wellness, and culinary applications. Coriander oil's versatility extends beyond its use in food and cosmetics. It is also valued in aromatherapy for its calming properties and is known for its antioxidant benefits, which help protect against free radical damage and skin damage caused by pollution, stress, and other environmental factors.
Furthermore, in the medical sector, it is used for its potential anti-inflammatory and digestive properties. Premium raw and roasted coriander oils are increasingly sought after for their unique characteristics and ability to enhance the flavor profiles of various dishes. Overall, the market is poised for continued growth, driven by the increasing popularity of natural ingredients and their applications in various sectors.

How is this Industry segmented and which is the largest segment?

The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Food and beverage
  Medical
  Others


Geography

  Europe

    UK
    France


  North America

    US


  APAC

    China
    Japan


  South America



  Middle East and Africa

By Application Insights

The food and beverage segment is estimated to witness significant growth during the forecast period.

Coriander oil, derived from the seeds of the Coriandrum sativum plant, is a popular natural ingredient In the food and beverage industry. Approved by regulatory bodies like the US Food and Drug Administration (FDA), the Council of Europe, the Flavor and Extract Manufacturers Association (FEMA), and the European Food Safety Authority (EFSA), this herbaceous essential oil adds a distinctive flavor to various food products. In addition to culinary applications, it is also used as a natural preservative, extending the shelf life of food items without compromising nutritional value. Furthermore, In the cosmetics sector, it is incorporated into skincare formulations due to its calming properties and anti-inflammatory effects.

Get a glance at the Coriander Oil Industry report of share of various segments Request Free Sample

The food and beverage segment was valued at USD 33.30 million in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

Europe is estimated to contribute 35% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The European market is experiencing growth due to the rising demand for exotic food products, particularly those of Asian origin. In 2021, there was an uptick in coriander seed imports to various European countries, including the UK, Germany, Poland, and Austria, which will increase the supply of raw materials for oil production. The food industries in Germany, the UK, France, and Spain, which are significant players in Europe, are driving the demand for essential oils. Coriander oil, derived from the seeds of the Coriandrum sativum plant, is known for its herbaceous aroma and is used in aromatherapy, cosmetics, and culinary applications.

Market Dynam