European supermarkets’ revenue is forecast to grow at a compound annual rate of 4.5% over the five years through 2024 to reach €1.6 trillion. A handful of supermarkets dominate each country, with the only new entrants being well-established supermarkets looking to expand to new regions – independents struggle to grab market share from the well-entrenched stores. Soaring operating costs, driven by purchase price and wage, are eating into the profitability of supermarkets. For many supermarket executives, scaling e-commerce operations has taken a backseat as they seek to combat falling sales volumes and downtrading, with customers foregoing brands for value or own-brand products. Consumer preferences for organic produce and premium products have also been sidelined during the cost-of-living as customers tighten their purse strings. Price inflation is expected to push revenue up by 2.6% in 2024. Over the five years through 2029, supermarkets’ revenue is slated to climb at a compound annual rate of 0.9% to €1.6 trillion. As disposable incomes recover from the cost-of-living crisis, consumers will switch back to organic and premium produce will return and demand for convenient shopping experiences will intensify. Expanding e-commerce offerings will be central to many supermarkets’ strategies as they look to widen their sales channels. Investment will be required to fully automate warehouse procedures, such as with automated picking and depalletising, as will decarbonising fleets. Advances in analytics, Generative AI and automation will help minimise costs in what is already a tight operating model for many grocery retailers, giving some relief to profitability. Sustainability will move to the forefront of supermarkets’ decision-making process when they select new suppliers as green concerns continue to mount.

European supermarkets’ revenue is forecast to grow at a compound annual rate of 4.5% over the five years through 2024 to reach €1.6 trillion. A handful of supermarkets dominate each country, with the only new entrants being well-established supermarkets looking to expand to new regions – independents struggle to grab market share from the well-entrenched stores. Soaring operating costs, driven by purchase price and wage, are eating into the profitability of supermarkets. For many supermarket executives, scaling e-commerce operations has taken a backseat as they seek to combat falling sales volumes and downtrading, with customers foregoing brands for value or own-brand products. Consumer preferences for organic produce and premium products have also been sidelined during the cost-of-living as customers tighten their purse strings. Price inflation is expected to push revenue up by 2.6% in 2024. Over the five years through 2029, supermarkets’ revenue is slated to climb at a compound annual rate of 0.9% to €1.6 trillion. As disposable incomes recover from the cost-of-living crisis, consumers will switch back to organic and premium produce will return and demand for convenient shopping experiences will intensify. Expanding e-commerce offerings will be central to many supermarkets’ strategies as they look to widen their sales channels. Investment will be required to fully automate warehouse procedures, such as with automated picking and depalletising, as will decarbonising fleets. Advances in analytics, Generative AI and automation will help minimise costs in what is already a tight operating model for many grocery retailers, giving some relief to profitability. Sustainability will move to the forefront of supermarkets’ decision-making process when they select new suppliers as green concerns continue to mount.

European supermarkets’ revenue is forecast to grow at a compound annual rate of 4.5% over the five years through 2024 to reach €1.6 trillion. A handful of supermarkets dominate each country, with the only new entrants being well-established supermarkets looking to expand to new regions – independents struggle to grab market share from the well-entrenched stores. Soaring operating costs, driven by purchase price and wage, are eating into the profitability of supermarkets. For many supermarket executives, scaling e-commerce operations has taken a backseat as they seek to combat falling sales volumes and downtrading, with customers foregoing brands for value or own-brand products. Consumer preferences for organic produce and premium products have also been sidelined during the cost-of-living as customers tighten their purse strings. Price inflation is expected to push revenue up by 2.6% in 2024. Over the five years through 2029, supermarkets’ revenue is slated to climb at a compound annual rate of 0.9% to €1.6 trillion. As disposable incomes recover from the cost-of-living crisis, consumers will switch back to organic and premium produce will return and demand for convenient shopping experiences will intensify. Expanding e-commerce offerings will be central to many supermarkets’ strategies as they look to widen their sales channels. Investment will be required to fully automate warehouse procedures, such as with automated picking and depalletising, as will decarbonising fleets. Advances in analytics, Generative AI and automation will help minimise costs in what is already a tight operating model for many grocery retailers, giving some relief to profitability. Sustainability will move to the forefront of supermarkets’ decision-making process when they select new suppliers as green concerns continue to mount.

Analysis of ‘Grocery Products Purchase Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/alexmiles/grocery-products-purchase-data on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

The data-set is mainly collected by one of the retail store of Kroger in USA. This data was collected during a super-saver weekend to understand more about the customers buying behavior.

Content

The data mainly consist over 9000+ records which is gathered over 3 days of weekend Supersaver deal in one of the kroger retails grocery store.

Inspiration

This data-set may help the retail grocery stores in Up selling and Cross selling of their products.

--- Original source retains full ownership of the source dataset ---

This is a collection of maps, layers, apps and dashboards that show population access to essential retail locations, such as grocery stores. Data sourcesPopulation data is from the 2010 U.S. Census blocks. Each census block has a count of stores within a 10 minute walk, and a count of stores within a ten minute drive. Census blocks known to be unpopulated are given a score of 0. The layer is available as a hosted feature layer.Grocery store locations are from SafeGraph, reflecting what was in the data as of October 2020. Access to the layer was obtained from the SafeGraph offering in ArcGIS Marketplace. For this project, ArcGIS StreetMap Premium was used for the street network in the origin-destination analysis work, because it already has the necessary attributes on each street segment to identify which streets are considered walkable, and supports a wide variety of driving parameters.The walkable access layer and drivable access layers are rasters, whose colors were chosen to allow the drivable access layer to serve as backdrop to the walkable access layer. Alternative versions of these layers are available. These pairs use different colors but are otherwise identical in content.Data PreparationArcGIS Network Analyst was used to set up a network street layer for analysis. ArcGIS StreetMap Premium was installed to a local hard drive and selected in the Origin-Destination workflow as the network data source. This allows the origins (Census block centroids) and destinations (SafeGraph grocery stores) to be connected to that network, to allow origin-destination analysis.The Census blocks layer contains the centroid of each Census block. The data allows a simple popup to be created. This layer's block figures can be summarized further, to tract, county and state levels.The SafeGraph grocery store locations were created by querying the SafeGraph source layer based on primary NAICS code. After connecting to the layer in ArcGIS Pro, a definition query was set to only show records with NAICS code 445110 as an initial screening. The layer was exported to a local disk drive for further definition query refinement, to eliminate any records that were obviously not grocery stores. The final layer used in the analysis had approximately 53,600 records. In this map, this layer is included as a vector tile layer.MethodologyEvery census block in the U.S. was assigned two access scores, whose numbers are simply how many grocery stores are within a 10 minute walk and a 10 minute drive of that census block. Every census block has a score of 0 (no stores), 1, 2 or more stores. The count of accessible stores was determined using Origin-Destination Analysis in ArcGIS Network Analyst, in ArcGIS Pro. A set of Tools in this ArcGIS Pro package allow a similar analysis to be conducted for any city or other area. The Tools step through the data prep and analysis steps. Download the Pro package, open it and substitute your own layers for Origins and Destinations. Parcel centroids are a suggested option for Origins, for example. Origin-Destination analysis was configured, using ArcGIS StreetMap Premium as the network data source. Census block centroids with population greater than zero were used as the Origins, and grocery store locations were used as the Destinations. A cutoff of 10 minutes was used with the Walk Time option. Only one restriction was applied to the street network: Walkable, which means Interstates and other non-walkable street segments were treated appropriately. You see the results in the map: wherever freeway overpasses and underpasses are present near a grocery store, the walkable area extends across/through that pass, but not along the freeway.A cutoff of 10 minutes was used with the Drive Time option. The default restrictions were applied to the street network, which means a typical vehicle's access to all types of roads was factored in.The results for each analysis were captured in the Lines layer, which shows which origins are within the cutoff of each destination over the street network, given the assumptions about that network (walking, or driving a vehicle).The Lines layer was then summarized by census block ID to capture the Maximum value of the Destination_Rank field. A census block within 10 minutes of 3 stores would have 3 records in the Lines layer, but only one value in the summarized table, with a MAX_Destination_Rank field value of 3. This is the number of stores accessible to that census block in the 10 minutes measured, for walking and driving. These data were joined to the block centroids layer and given unique names. At this point, all blocks with zero population or null values in the MAX_Destination_Rank fields were given a store count of 0, to help the next step.Walkable and Drivable areas are calculated into a raster layer, using Nearest Neighbor geoprocessing tool on the count of stores within a 10 minute walk, and a count of stores within a ten minute drive, respectively. This tool uses a 200 meter grid and interpolates the values between each census block. A census tracts layer containing all water polygons "erased" from the census tract boundaries was used as an environment setting, to help constrain interpolation into/across bodies of water. The same layer use used to "shoreline" the Nearest Neighbor results, to eliminate any interpolation into the ocean or Great Lakes. This helped but was not perfect.Notes and LimitationsThe map provides a baseline for discussing access to grocery stores in a city. It does not presume local population has the desire or means to walk or drive to obtain groceries. It does not take elevation gain or loss into account. It does not factor time of day nor weather, seasons, or other variables that affect a person's commute choices. Walking and driving are just two ways people get to a grocery store. Some people ride a bike, others take public transit, have groceries delivered, or rely on a friend with a vehicle. Thank you to Melinda Morang on the Network Analyst team for guidance and suggestions at key moments along the way; to Emily Meriam for reviewing the previous version of this map and creating new color palettes and marker symbols specific to this project. Additional ReadingThe methods by which access to food is measured and reported have improved in the past decade or so, as has the uses of such measurements. Some relevant papers and articles are provided below as a starting point.Measuring Food Insecurity Using the Food Abundance Index: Implications for Economic, Health and Social Well-BeingHow to Identify Food Deserts: Measuring Physical and Economic Access to Supermarkets in King County, WashingtonAccess to Affordable and Nutritious Food: Measuring and Understanding Food Deserts and Their ConsequencesDifferent Measures of Food Access Inform Different SolutionsThe time cost of access to food – Distance to the grocery store as measured in minutes

European supermarkets’ revenue is forecast to grow at a compound annual rate of 4.5% over the five years through 2024 to reach €1.6 trillion. A handful of supermarkets dominate each country, with the only new entrants being well-established supermarkets looking to expand to new regions – independents struggle to grab market share from the well-entrenched stores. Soaring operating costs, driven by purchase price and wage, are eating into the profitability of supermarkets. For many supermarket executives, scaling e-commerce operations has taken a backseat as they seek to combat falling sales volumes and downtrading, with customers foregoing brands for value or own-brand products. Consumer preferences for organic produce and premium products have also been sidelined during the cost-of-living as customers tighten their purse strings. Price inflation is expected to push revenue up by 2.6% in 2024. Over the five years through 2029, supermarkets’ revenue is slated to climb at a compound annual rate of 0.9% to €1.6 trillion. As disposable incomes recover from the cost-of-living crisis, consumers will switch back to organic and premium produce will return and demand for convenient shopping experiences will intensify. Expanding e-commerce offerings will be central to many supermarkets’ strategies as they look to widen their sales channels. Investment will be required to fully automate warehouse procedures, such as with automated picking and depalletising, as will decarbonising fleets. Advances in analytics, Generative AI and automation will help minimise costs in what is already a tight operating model for many grocery retailers, giving some relief to profitability. Sustainability will move to the forefront of supermarkets’ decision-making process when they select new suppliers as green concerns continue to mount.

Context

The data-set is mainly collected by one of the retail store of Kroger in USA. This data was collected during a super-saver weekend to understand more about the customers buying behavior.

Content

The data mainly consist over 9000+ records which is gathered over 3 days of weekend Supersaver deal in one of the kroger retails grocery store.

Inspiration

This data-set may help the retail grocery stores in Up selling and Cross selling of their products.

European supermarkets’ revenue is forecast to grow at a compound annual rate of 4.5% over the five years through 2024 to reach €1.6 trillion. A handful of supermarkets dominate each country, with the only new entrants being well-established supermarkets looking to expand to new regions – independents struggle to grab market share from the well-entrenched stores. Soaring operating costs, driven by purchase price and wage, are eating into the profitability of supermarkets. For many supermarket executives, scaling e-commerce operations has taken a backseat as they seek to combat falling sales volumes and downtrading, with customers foregoing brands for value or own-brand products. Consumer preferences for organic produce and premium products have also been sidelined during the cost-of-living as customers tighten their purse strings. Price inflation is expected to push revenue up by 2.6% in 2024. Over the five years through 2029, supermarkets’ revenue is slated to climb at a compound annual rate of 0.9% to €1.6 trillion. As disposable incomes recover from the cost-of-living crisis, consumers will switch back to organic and premium produce will return and demand for convenient shopping experiences will intensify. Expanding e-commerce offerings will be central to many supermarkets’ strategies as they look to widen their sales channels. Investment will be required to fully automate warehouse procedures, such as with automated picking and depalletising, as will decarbonising fleets. Advances in analytics, Generative AI and automation will help minimise costs in what is already a tight operating model for many grocery retailers, giving some relief to profitability. Sustainability will move to the forefront of supermarkets’ decision-making process when they select new suppliers as green concerns continue to mount.

Abstract

The Consumer price surveys primarily provide the following: Data on CPI in Palestine covering the West Bank, Gaza Strip and Jerusalem J1 for major and sub groups of expenditure. Statistics needed for decision-makers, planners and those who are interested in the national economy. Contribution to the preparation of quarterly and annual national accounts data.

Consumer Prices and indices are used for a wide range of purposes, the most important of which are as follows: Adjustment of wages, government subsidies and social security benefits to compensate in part or in full for the changes in living costs. To provide an index to measure the price inflation of the entire household sector, which is used to eliminate the inflation impact of the components of the final consumption expenditure of households in national accounts and to dispose of the impact of price changes from income and national groups. Price index numbers are widely used to measure inflation rates and economic recession. Price indices are used by the public as a guide for the family with regard to its budget and its constituent items. Price indices are used to monitor changes in the prices of the goods traded in the market and the consequent position of price trends, market conditions and living costs. However, the price index does not reflect other factors affecting the cost of living, e.g. the quality and quantity of purchased goods. Therefore, it is only one of many indicators used to assess living costs. It is used as a direct method to identify the purchasing power of money, where the purchasing power of money is inversely proportional to the price index.

Geographic coverage

Palestine West Bank Gaza Strip Jerusalem

Analysis unit

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Universe

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Kind of data

Sample survey data [ssd]

Sampling procedure

A non-probability purposive sample of sources from which the prices of different goods and services are collected was updated based on the establishment census 2017, in a manner that achieves full coverage of all goods and services that fall within the Palestinian consumer system. These sources were selected based on the availability of the goods within them. It is worth mentioning that the sample of sources was selected from the main cities inside Palestine: Jenin, Tulkarm, Nablus, Qalqiliya, Ramallah, Al-Bireh, Jericho, Jerusalem, Bethlehem, Hebron, Gaza, Jabalia, Dier Al-Balah, Nusseirat, Khan Yunis and Rafah. The selection of these sources was considered to be representative of the variation that can occur in the prices collected from the various sources. The number of goods and services included in the CPI is approximately 730 commodities, whose prices were collected from 3,200 sources. (COICOP) classification is used for consumer data as recommended by the United Nations System of National Accounts (SNA-2008).

Sampling deviation

Not apply

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

A tablet-supported electronic form was designed for price surveys to be used by the field teams in collecting data from different governorates, with the exception of Jerusalem J1. The electronic form is supported with GIS, and GPS mapping technique that allow the field workers to locate the outlets exactly on the map and the administrative staff to manage the field remotely. The electronic questionnaire is divided into a number of screens, namely: First screen: shows the metadata for the data source, governorate name, governorate code, source code, source name, full source address, and phone number. Second screen: shows the source interview result, which is either completed, temporarily paused or permanently closed. It also shows the change activity as incomplete or rejected with the explanation for the reason of rejection. Third screen: shows the item code, item name, item unit, item price, product availability, and reason for unavailability. Fourth screen: checks the price data of the related source and verifies their validity through the auditing rules, which was designed specifically for the price programs. Fifth screen: saves and sends data through (VPN-Connection) and (WI-FI technology).

In case of the Jerusalem J1 Governorate, a paper form has been designed to collect the price data so that the form in the top part contains the metadata of the data source and in the lower section contains the price data for the source collected. After that, the data are entered into the price program database.

Cleaning operations

The price survey forms were already encoded by the project management depending on the specific international statistical classification of each survey. After the researcher collected the price data and sent them electronically, the data was reviewed and audited by the project management. Achievement reports were reviewed on a daily and weekly basis. Also, the detailed price reports at data source levels were checked and reviewed on a daily basis by the project management. If there were any notes, the researcher was consulted in order to verify the data and call the owner in order to correct or confirm the information.

At the end of the data collection process in all governorates, the data will be edited using the following process: Logical revision of prices by comparing the prices of goods and services with others from different sources and other governorates. Whenever a mistake is detected, it should be returned to the field for correction. Mathematical revision of the average prices for items in governorates and the general average in all governorates. Field revision of prices through selecting a sample of the prices collected from the items.

Response rate

Not apply

Sampling error estimates

The findings of the survey may be affected by sampling errors due to the use of samples in conducting the survey rather than total enumeration of the units of the target population, which increases the chances of variances between the actual values we expect to obtain from the data if we had conducted the survey using total enumeration. The computation of differences between the most important key goods showed that the variation of these goods differs due to the specialty of each survey. For example, for the CPI, the variation between its goods was very low, except in some cases such as banana, tomato, and cucumber goods that had a high coefficient of variation during 2019 due to the high oscillation in their prices. The variance of the key goods in the computed and disseminated CPI survey that was carried out on the Palestine level was for reasons related to sample design and variance calculation of different indicators since there was a difficulty in the dissemination of results by governorates due to lack of weights. Non-sampling errors are probable at all stages of data collection or data entry. Non-sampling errors include: Non-response errors: the selected sources demonstrated a significant cooperation with interviewers; so, there wasn't any case of non-response reported during 2019. Response errors (respondent), interviewing errors (interviewer), and data entry errors: to avoid these types of errors and reduce their effect to a minimum, project managers adopted a number of procedures, including the following: More than one visit was made to every source to explain the objectives of the survey and emphasize the confidentiality of the data. The visits to data sources contributed to empowering relations, cooperation, and the verification of data accuracy. Interviewer errors: a number of procedures were taken to ensure data accuracy throughout the process of field data compilation: Interviewers were selected based on educational qualification, competence, and assessment. Interviewers were trained theoretically and practically on the questionnaire. Meetings were held to remind interviewers of instructions. In addition, explanatory notes were supplied with the surveys. A number of procedures were taken to verify data quality and consistency and ensure data accuracy for the data collected by a questioner throughout processing and data entry (knowing that data collected through paper questionnaires did not exceed 5%): Data entry staff was selected from among specialists in computer programming and were fully trained on the entry programs. Data verification was carried out for 10% of the entered questionnaires to ensure that data entry staff had entered data correctly and in accordance with the provisions of the questionnaire. The result of the verification was consistent with the original data to a degree of 100%. The files of the entered data were received, examined, and reviewed by project managers before findings were extracted. Project managers carried out many checks on data logic and coherence, such as comparing the data of the current month with that of the previous month, and comparing the data of sources and between governorates. Data collected by tablet devices were checked for consistency and accuracy by applying rules at item level to be checked.

Data appraisal

Other technical procedures to improve data quality: Seasonal adjustment processes

Grocery Carts Market Outlook

The global grocery carts market size was valued at approximately USD 2.5 billion in 2023 and is expected to reach USD 4.2 billion by 2032, growing at a CAGR of 6.1% during the forecast period. This growth is attributed to the rising trend of organized retail, increasing consumer preference for convenience, and technological advancements in retail infrastructure. The expansion of supermarket and hypermarket chains worldwide is a significant driver that continues to propel the demand for grocery carts.

A primary growth factor in the grocery carts market is the rapid urbanization and the subsequent increase in the number of large retail outlets. Urbanization leads to higher disposable incomes and a shift towards modern retail formats, where grocery carts are essential. The proliferation of supermarkets and hypermarkets in urban and semi-urban areas has significantly driven the demand for grocery carts. Additionally, the growing middle-class population, especially in emerging economies, has resulted in increased consumer spending on groceries and household goods, further boosting the necessity for grocery carts.

Technological advancements in retail logistics and operations also contribute to the growth of the grocery carts market. Modern grocery carts are now equipped with advanced features such as RFID technology, smart locking systems, and ergonomic designs to enhance customer convenience. Innovations such as self-checkout systems integrated into grocery carts have enhanced the shopping experience, leading to higher adoption rates. Moreover, the integration of green technologies to manufacture eco-friendly carts is appealing to environmentally conscious consumers, thus driving market expansion.

The trend towards convenience shopping is another key factor promoting the growth of the grocery carts market. Consumers today prefer a hassle-free and comfortable shopping experience, which grocery carts provide by allowing the easy transport of numerous items within retail stores. The increasing popularity of bulk buying and one-stop shopping also emphasizes the importance of grocery carts, as they aid consumers in carrying larger quantities of goods efficiently. Retailers are investing in high-quality, durable carts to enhance customer satisfaction and loyalty.

The advent of Smart Shopping Carts is transforming the retail landscape by offering a seamless and personalized shopping experience. These carts are equipped with advanced technologies such as sensors, touchscreens, and connectivity features that allow customers to easily locate products, access detailed product information, and even receive personalized promotions. By integrating with mobile applications, smart shopping carts can guide customers through the store, suggest complementary products, and facilitate a quicker checkout process. Retailers are increasingly adopting these innovative carts to enhance customer engagement and streamline operations, thereby gaining a competitive edge in the rapidly evolving retail sector.

Regionally, the grocery carts market is anticipated to witness substantial growth in the Asia Pacific region due to rapid economic development, urbanization, and the expansion of the retail sector. Countries like China and India are at the forefront of this growth, with significant investments in retail infrastructure. North America and Europe are also key regions where the market is mature but continues to grow steadily due to technological advancements and the replacement demand for old grocery carts. The Middle East & Africa and Latin America are emerging markets with high growth potential driven by increasing retail activities and economic development.

Product Type Analysis

The grocery carts market is segmented by product type into standard grocery carts, folding grocery carts, and specialty grocery carts. Standard grocery carts are the most widely used in supermarkets and hypermarkets, providing ample space for a variety of goods. These carts are durable, easy to maneuver, and have become a staple in large retail environments. Despite their traditional design, continuous improvements in materials and ergonomics ensure that they remain relevant in modern retail settings.

Folding grocery carts are gaining popularity due to their space-savin

The Greener Beans Supermarket Swap project involves an online experiment in which participants are shown a number of common grocery items (breakfast cereals, biscuits, carb sources (rice, pasta, potato, quinoa), snacks, yoghurt, mice, and ready meals), and asked to choose a product they had bought in the recent past or probably would buy in the future. Once participants have selected a product, they are routed by survey logic to a subsequent question. In cases where participants select a less than optimally sustainable product, they are shown more sustainable alternatives and asked if they would want to swap their original item (which they can choose to do or not). These more sustainable product alternatives shown to participants are selected according to which initial product participants opt for. In cases where they initially select the optimally sustainable product, they are not offered a swap, proceeding to the next product category or further questions. The experiment is that respondents are randomly allocated to (1) a 'loss' or 'gain' frame of the sustainability index (i.e. the products being MORE sustainable or having a LOWER environmental impact), and (2) getting 'specific' or 'generic' feedback (just saying well done versus also saying 'how much' they saved). This produced a 2 x 2 experimental matrix. The experiment was conducted with (1) an engaged sample (n=28) of participants who had indicated they were willing to help develop the Greener Beans app, (2) a general sample of UK participants (n=262), and (3) a student sample (n=286). The data were collected via the Qualtrics platform. The overall sample therefore consisted of 576 participants. Data were collected between 27 September 2021 to 9 November 2021 for the engaged ‘Greener Beans’ sample, between 16 and 18 November 2021 for the national Qualtrics sample, and between 8 April 2022 and 19 May 2022 for the student sample. The Qualtrics sample was broadly representative for gender, age and income. The study took close to 8 minutes to complete on average. No weighting is used for the sample. In addition to the online supermarket task, the online survey contained question about socio-demographics (gender, age, income, and education), diets, responsibility for grocery shopping, buying frequency of the different product types, affective responses to making sustainable swaps, environmental values and identity, climate beliefs and worry, future consequences, and a number of questions about the shopping task itself.

European supermarkets’ revenue is forecast to grow at a compound annual rate of 4.5% over the five years through 2024 to reach €1.6 trillion. A handful of supermarkets dominate each country, with the only new entrants being well-established supermarkets looking to expand to new regions – independents struggle to grab market share from the well-entrenched stores. Soaring operating costs, driven by purchase price and wage, are eating into the profitability of supermarkets. For many supermarket executives, scaling e-commerce operations has taken a backseat as they seek to combat falling sales volumes and downtrading, with customers foregoing brands for value or own-brand products. Consumer preferences for organic produce and premium products have also been sidelined during the cost-of-living as customers tighten their purse strings. Price inflation is expected to push revenue up by 2.6% in 2024. Over the five years through 2029, supermarkets’ revenue is slated to climb at a compound annual rate of 0.9% to €1.6 trillion. As disposable incomes recover from the cost-of-living crisis, consumers will switch back to organic and premium produce will return and demand for convenient shopping experiences will intensify. Expanding e-commerce offerings will be central to many supermarkets’ strategies as they look to widen their sales channels. Investment will be required to fully automate warehouse procedures, such as with automated picking and depalletising, as will decarbonising fleets. Advances in analytics, Generative AI and automation will help minimise costs in what is already a tight operating model for many grocery retailers, giving some relief to profitability. Sustainability will move to the forefront of supermarkets’ decision-making process when they select new suppliers as green concerns continue to mount.

The US jam, jelly, and preserves market, while exhibiting a relatively modest Compound Annual Growth Rate (CAGR) of 3.40%, presents a dynamic landscape shaped by evolving consumer preferences and distribution channels. The market's size in 2025 is estimated to be $X Billion (assuming a global market size of $XX Billion and proportionally allocating a share to the US based on its economic strength and consumption patterns – this requires a reasonable estimation based on available data from reliable sources, which is assumed to be available but not explicitly mentioned in the prompt). Key drivers include the growing demand for convenient breakfast options and the increasing popularity of artisanal and organic products, catering to health-conscious consumers seeking natural ingredients and less added sugar. Expanding online retail channels offer significant growth opportunities, although supermarkets and hypermarkets remain dominant distribution points. However, the market faces constraints from the rise of alternative breakfast options, such as yogurt and granola, as well as increasing competition from private label brands. The segment of organic and specialty jams and jellies is experiencing particularly strong growth, fueled by health consciousness and willingness to pay a premium for quality ingredients. Within the market segmentation, jams and jellies constitute the largest segment in terms of volume and value, followed by preserves and marmalade. Supermarket/hypermarket channels maintain a strong market presence, benefiting from established brand loyalty and wide product availability. However, online stores are rapidly gaining traction, particularly among younger demographics seeking convenience and a wider selection. Major players like J.M. Smucker, Conagra Foods, and B&G Foods are leveraging established brand recognition and distribution networks while smaller, artisanal companies focus on niche markets with unique product offerings and sustainable practices to compete effectively. This competitive environment fosters innovation and the introduction of new flavors and product formats such as single-serving packages, catering to changing consumer lifestyles and demand for portion control. The forecast period of 2025-2033 indicates continued, albeit moderate, growth, with the market expected to be driven primarily by the expanding online segment and a continued focus on healthy and premium products. Recent developments include: January 2023: Conagra Brands unveiled a new line of products, including the Snack Pack Starburst All Pink Juicy Gels. These delightful treats are specifically crafted with the signature all-pink flavor to replicate the irresistible experience of savoring a strawberry-flavored Starburst., September 2022: Kraft Heinz collaborated with a start-up accelerator Starlife to promote innovation. The partnership will see the Kraft Heinz Company work with agri-food tech accelerator StartLife to help its portfolio of products fulfill consumer expectations., February 2021: Good Good, an Iceland-based food brand, introduced three new jam flavors to its existing keto-friendly and no added sugar product portfolio. These new launches had natural fruit flavors and were keto and vegan-friendly.. Notable trends are: Increasing Demand for Organic Food Products.

Europe Sports Nutrition Market size was valued at USD 9 Billion in 2024 and is expected to reach USD 17 Billion by 2032, growing at a CAGR of 8.7% from 2026 to 2032.

Europe Sports Nutrition Market Dynamics

The key market dynamics that are shaping the Europe Sports Nutrition Market include:

Key Market Drivers Rising Health and Fitness Awareness: Rising health and fitness consciousness is propelling the European sports nutrition market. According to Eurostat, 59% of Europeans aged 18 to 64 participate in regular physical activity, with nations such as Sweden, the Netherlands, and Denmark topping 70%. Increased engagement in exercise activities is driving up demand for sports nutrition solutions that improve performance, recovery, and wellness. The European Commission's Health and Food Safety Directive stresses preventative health, encouraging consumers to choose nutrition solutions that help them achieve their fitness and general health objectives.

Here are a few use cases for this project:

1. Menu App: An app could be equipped with the "Thai Food" computer vision model. Users could point their camera at a dish and the app would identify whether or not it is a particular Thai food class. This can help users quickly understand what they are eating, especially if they are unfamiliar with Thai cuisine.

2. Supermarket Shoppers Assistance: Implement this model in a mobile app or AR glasses used by shoppers in supermarkets. It could help them quickly identify Thai ingredients or ready meals by their class, thus ensuring they're buying the right product.

3. Smart Kitchen Assistance: This model can be integrated into a smart fridge or cupboard system to track the types of Thai food items stored inside. When linked with recipe suggestions, it can recommend what meals can be prepared with the available items.

4. Diet App Integration: Health and diet apps can leverage this model to accurately identify and track the calories and nutritional value of various Thai food items that the user consumes, as long as they provide a photo of their meal.

5. Customizable Food Ordering: Food delivery apps could use this model, allowing users to order by simply taking a photo of a dish. They wouldn't need to worry about the dish's name or how to spell it, making the ordering process more straightforward.

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.

Abstract

The Consumer price surveys primarily provide the following: Data on CPI in Palestine covering the West Bank, Gaza Strip and Jerusalem J1 for major and sub groups of expenditure. Statistics needed for decision-makers, planners and those who are interested in the national economy. Contribution to the preparation of quarterly and annual national accounts data.

Consumer Prices and indices are used for a wide range of purposes, the most important of which are as follows: Adjustment of wages, government subsidies and social security benefits to compensate in part or in full for the changes in living costs. To provide an index to measure the price inflation of the entire household sector, which is used to eliminate the inflation impact of the components of the final consumption expenditure of households in national accounts and to dispose of the impact of price changes from income and national groups. Price index numbers are widely used to measure inflation rates and economic recession. Price indices are used by the public as a guide for the family with regard to its budget and its constituent items. Price indices are used to monitor changes in the prices of the goods traded in the market and the consequent position of price trends, market conditions and living costs. However, the price index does not reflect other factors affecting the cost of living, e.g. the quality and quantity of purchased goods. Therefore, it is only one of many indicators used to assess living costs. It is used as a direct method to identify the purchasing power of money, where the purchasing power of money is inversely proportional to the price index.

Geographic coverage

Palestine West Bank Gaza Strip Jerusalem

Analysis unit

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Universe

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Kind of data

Sample survey data [ssd]

Sampling procedure

A non-probability purposive sample of sources from which the prices of different goods and services are collected was updated based on the establishment census 2017, in a manner that achieves full coverage of all goods and services that fall within the Palestinian consumer system. These sources were selected based on the availability of the goods within them. It is worth mentioning that the sample of sources was selected from the main cities inside Palestine: Jenin, Tulkarm, Nablus, Qalqiliya, Ramallah, Al-Bireh, Jericho, Jerusalem, Bethlehem, Hebron, Gaza, Jabalia, Dier Al-Balah, Nusseirat, Khan Yunis and Rafah. The selection of these sources was considered to be representative of the variation that can occur in the prices collected from the various sources. The number of goods and services included in the CPI is approximately 730 commodities, whose prices were collected from 3,200 sources. (COICOP) classification is used for consumer data as recommended by the United Nations System of National Accounts (SNA-2008).

Sampling deviation

Not apply

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

A tablet-supported electronic form was designed for price surveys to be used by the field teams in collecting data from different governorates, with the exception of Jerusalem J1. The electronic form is supported with GIS, and GPS mapping technique that allow the field workers to locate the outlets exactly on the map and the administrative staff to manage the field remotely. The electronic questionnaire is divided into a number of screens, namely: First screen: shows the metadata for the data source, governorate name, governorate code, source code, source name, full source address, and phone number. Second screen: shows the source interview result, which is either completed, temporarily paused or permanently closed. It also shows the change activity as incomplete or rejected with the explanation for the reason of rejection. Third screen: shows the item code, item name, item unit, item price, product availability, and reason for unavailability. Fourth screen: checks the price data of the related source and verifies their validity through the auditing rules, which was designed specifically for the price programs. Fifth screen: saves and sends data through (VPN-Connection) and (WI-FI technology).

In case of the Jerusalem J1 Governorate, a paper form has been designed to collect the price data so that the form in the top part contains the metadata of the data source and in the lower section contains the price data for the source collected. After that, the data are entered into the price program database.

Cleaning operations

The price survey forms were already encoded by the project management depending on the specific international statistical classification of each survey. After the researcher collected the price data and sent them electronically, the data was reviewed and audited by the project management. Achievement reports were reviewed on a daily and weekly basis. Also, the detailed price reports at data source levels were checked and reviewed on a daily basis by the project management. If there were any notes, the researcher was consulted in order to verify the data and call the owner in order to correct or confirm the information.

At the end of the data collection process in all governorates, the data will be edited using the following process: Logical revision of prices by comparing the prices of goods and services with others from different sources and other governorates. Whenever a mistake is detected, it should be returned to the field for correction. Mathematical revision of the average prices for items in governorates and the general average in all governorates. Field revision of prices through selecting a sample of the prices collected from the items.

Response rate

Not apply

Sampling error estimates

The findings of the survey may be affected by sampling errors due to the use of samples in conducting the survey rather than total enumeration of the units of the target population, which increases the chances of variances between the actual values we expect to obtain from the data if we had conducted the survey using total enumeration. The computation of differences between the most important key goods showed that the variation of these goods differs due to the specialty of each survey. For example, for the CPI, the variation between its goods was very low, except in some cases such as banana, tomato, and cucumber goods that had a high coefficient of variation during 2019 due to the high oscillation in their prices. The variance of the key goods in the computed and disseminated CPI survey that was carried out on the Palestine level was for reasons related to sample design and variance calculation of different indicators since there was a difficulty in the dissemination of results by governorates due to lack of weights. Non-sampling errors are probable at all stages of data collection or data entry. Non-sampling errors include: Non-response errors: the selected sources demonstrated a significant cooperation with interviewers; so, there wasn't any case of non-response reported during 2019. Response errors (respondent), interviewing errors (interviewer), and data entry errors: to avoid these types of errors and reduce their effect to a minimum, project managers adopted a number of procedures, including the following: More than one visit was made to every source to explain the objectives of the survey and emphasize the confidentiality of the data. The visits to data sources contributed to empowering relations, cooperation, and the verification of data accuracy. Interviewer errors: a number of procedures were taken to ensure data accuracy throughout the process of field data compilation: Interviewers were selected based on educational qualification, competence, and assessment. Interviewers were trained theoretically and practically on the questionnaire. Meetings were held to remind interviewers of instructions. In addition, explanatory notes were supplied with the surveys. A number of procedures were taken to verify data quality and consistency and ensure data accuracy for the data collected by a questioner throughout processing and data entry (knowing that data collected through paper questionnaires did not exceed 5%): Data entry staff was selected from among specialists in computer programming and were fully trained on the entry programs. Data verification was carried out for 10% of the entered questionnaires to ensure that data entry staff had entered data correctly and in accordance with the provisions of the questionnaire. The result of the verification was consistent with the original data to a degree of 100%. The files of the entered data were received, examined, and reviewed by project managers before findings were extracted. Project managers carried out many checks on data logic and coherence, such as comparing the data of the current month with that of the previous month, and comparing the data of sources and between governorates. Data collected by tablet devices were checked for consistency and accuracy by applying rules at item level to be checked.

Data appraisal

Other technical procedures to improve data quality: Seasonal adjustment processes

Roller Gravity Shelves Market size was valued at USD 240.45 Million in 2023 and is expected to reach USD 432.75 Million by the end of 2031 with a CAGR of 7.67% during the forecast period 2024-2031.

Global Roller Gravity Shelves Market Overview

The global market is witnessing a growing demand for roller gravity shelves due to their significant impact on warehouse efficiency and inventory management. These shelves operate on the principle of gravity, utilizing inclined rollers that allow items to move smoothly from the back to the front, ensuring a first-in, first-out (FIFO) inventory system. This feature is particularly beneficial for industries dealing with perishable goods or products with expiration dates, such as food and beverage, pharmaceuticals, and cosmetics. By facilitating FIFO, roller gravity shelves help reduce waste, improve stock rotation, and enhance overall inventory accuracy, making them an attractive option for businesses aiming to optimize their storage solutions.

The increasing popularity of roller gravity shelves is the rising e-commerce sector. As online shopping continues to grow, the need for efficient and flexible warehousing solutions has become more critical. Roller gravity shelves offer high-density storage and quick access to products, enabling faster order picking and fulfillment processes. This efficiency is essential for e-commerce companies that must meet high customer expectations for rapid delivery times. Additionally, the adaptability of roller gravity shelves to various product sizes and types makes them suitable for the diverse range of items sold online, from small electronics to bulky household goods.

The US tofu market, a segment of the broader plant-based protein industry, is experiencing robust growth fueled by increasing consumer demand for healthy, sustainable, and ethical food choices. The shift towards vegetarian and vegan diets, coupled with growing awareness of the environmental impact of meat consumption, is a primary driver. Furthermore, the rising prevalence of health concerns, such as heart disease and diabetes, is prompting consumers to seek plant-based alternatives rich in protein and low in saturated fat. Tofu's versatility in culinary applications, from traditional Asian dishes to innovative Western recipes, contributes to its widespread appeal and market expansion. While precise market sizing data is unavailable, estimations based on global trends and the presence of significant players like Albertsons Companies and The Hain Celestial Group Inc. suggest a substantial market value. Considering the strong growth trajectory of the overall plant-based food market, a conservative estimate for the US tofu market size in 2025 would be in the range of $500-$700 million, with a Compound Annual Growth Rate (CAGR) projected between 5% and 7% for the forecast period of 2025-2033. Growth is anticipated across all distribution channels, particularly online retail, which offers convenience and wider product selection. However, challenges remain, such as price sensitivity among some consumers and competition from other plant-based protein sources. Innovation in product offerings, including flavored and textured tofus, and marketing initiatives focusing on the health and sustainability benefits are crucial for continued market expansion. The on-trade sector (restaurants and food service) presents significant growth potential, driven by increasing menu inclusion of tofu-based dishes in various cuisines. However, the off-trade segment, encompassing supermarkets, convenience stores, and online channels, remains dominant due to wider consumer accessibility. Companies are increasingly investing in research and development to enhance product quality, texture, and taste, further boosting market growth. Future market success will hinge on addressing consumer concerns regarding tofu's taste and texture, offering diverse product formats, and expanding distribution networks to cater to broader consumer demographics. Furthermore, strategic partnerships with food retailers and restaurants are vital for enhancing market penetration and visibility. Continued promotion of tofu's nutritional and environmental advantages is key to solidifying its position as a leading plant-based protein source. Recent developments include: March 2023: Hodo launched two new block tofus with vibrant global flavors which include Miso Tofu and Indian Spiced Tofu.February 2023: Morinaga Nutritional Foods acquired US plant-based company, Tofurky and its sister brand Moocho. Morinaga has been a tofu supplier for Tofurky products for 17 years. The acquisition of Tofurky and Moocho will help the company to strengthen the integrated supply chain and category growth for the brands.June 2022: Morinaga Nutritional Foods launched Mori-Nu Yuzu Flavored Silken Tofu, known for its velvety smooth texture. The product has a firm texture, is versatile, and can be added to desserts or blended for preparation.. Notable trends are: Increasing demand for new variants in the tofu market through the expanded e-commerce channels drives the market.

Snapshot img { margin: 10px !important; } Some of the key findings from our cod liver oil market forecast report are summarized below

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Global Cod Liver Oil Industry Overview

Cod liver oil offers several health benefits as it is rich in two major omega-3 fatty acids: EPA and DHA. The high amount of omega-3 fatty acids present in cod liver oil helps in preventing certain types of cancer, heart attacks, strokes, and Alzheimer’s disease. Apart from these health benefits, cod liver oil also boosts memory and learning abilities. With the increasing demand for dietary supplements rich in omega-3 fatty acids, the demand for cod liver oil will also grow. Hence, the growing demand for dietary supplements rich in omega-3 fatty acids has been identified as a critical cod liver oil market trend which will have a positive impact on the growth of the market.

The incidences of vitamin A and D deficiency is rising among children across the world. Vitamin A deficiency can cause blindness in children and even result in infant deaths from common diseases such as diarrhea. Vitamin D deficiency in children can cause rickets and skeletal deformities. The consumption of cod liver oil supplements can help in avoiding such diseases and medical conditions. Cod liver oil also minimizes the risk of post-partum depression and premature birth in pregnant women. These health benefits of cod liver oil are expected to boost its consumption and fuel market growth at a CAGR of almost 6% during the forecast period.

Top Cod Liver Oil Companies Covered in this Market Research Report

The global cod liver oil market is fragmented. To help clients improve their market position, this report provides an analysis of the market’s competitive landscape and offers information on the products offered by various companies. Moreover, this cod liver oil market research report also includes information on the upcoming trends and challenges that will influence market growth. This will help companies create strategies to make most of the upcoming growth opportunities.

The report offers a detailed analysis of several leading cod liver oil manufacturers including:

Barlean’s Organic Oils LLC
Carlson Laboratories Inc.
Nordic Naturals
Orkla ASA
Procter & Gamble Co.

Cod Liver Oil Market Segmentation Based on Distribution Channel

Online
Offline

The offline segment will account for the highest cod liver oil market share. The increasing number of hypermarkets, supermarkets, groceries, and convenience to choose from a wide range of products are fueling cod liver oil market growth in this segment. This report provides an accurate prediction of the contribution of all the segments to the growth of the cod liver oil market size.

Cod Liver Oil Market Segmentation Based on Geographic Region

APAC
Europe
MEA
North America
South America

With a complete study of the growth opportunities for the companies, it has been identified that North America will account for the highest share of the cod liver oil market throughout the forecast period. The multiple health benefits and government initiatives promoting the consumption of cod liver oil will drive the growth of the market in this region.

Key Highlights of the Global Cod Liver Oil Market for the Forecast Years 2019-2023:

CAGR of the market during the forecast period 2019-2023
Detailed information on factors that will accelerate the growth of the cod liver oil market during the next five years
Precise estimation of the global cod liver oil market size and its contribution to the parent market
Accurate predictions on upcoming trends and changes in consumer behavior
The growth of the cod liver oil industry across APAC, Europe, MEA, North America, and South America
A thorough analysis of the market’s competitive landscape and detailed information on several vendors
Comprehensive details of factors that will challenge the growth of cod liver oil companies

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