Track share of shelf, predict revenue surprises, and drill down into brand and category level performance by household demography across thousands of brands and hundreds of manufacturers. Scanner Consumer Packaged Goods (CPG) data is sourced from thousands of retail stores and millions of underlying US households across grocery and drugstore chains. Available exclusively to investors.

This statistic depicts the sales of consumer packaged goods (CPG) in the United States in 2015 and provides a forecast for 2020. In 2015, U.S. CPG sales amounted to about ***** billion U.S. dollars.

Consumer packaged goods

The consumer packaged goods (CPG) industry is one of the largest and most successful industries in North America. During the last several decades, this industry experienced remarkable growth in both revenue and shareholder returns, fueled by the expansion of emerging-market economies and the subsequent increase in global consumption. The last few years, however, saw a decline in people’s disposable incomes, as well as a general change in consumer attitudes. Nevertheless, CPG sales in the United States constantly grew over the past five years. Sales figures were estimated to exceed *** billion U.S. dollars by 2016. Consumer packaged goods include commodities such as food and drinks, clothing and footwear, tobacco and cleaning products. CPGs are consumable items which need frequent replacing, unlike automobiles or furniture.

In 2014, U.S. consumers spent approximately *** billion U.S. dollars on consumer packaged goods, with Baby Boomers and Senior citizens accounting for more than half of the country’s CPG expenditure. Grocery stores were the most popular CPG distribution channel, followed by drugstores and mass merchandisers and/or supermarkets. That year, ** percent of U.S. households had bought consumer packaged goods from grocery stores.

CPG companies employ different marketing strategies to boost revenues. For instance, some ** billion CPG coupons were redeemed in the United States from 2007 to 2014. As a result, American consumers were able to save some three billion U.S. dollars on consumer packaged goods annually.

IRI (Information Resources, Inc.) has just released an extensive set of data for academic use. This is 5 [now updated to 6] years of store scanner data and consumer panel data for 30 large consumer packaged goods categories. TNS is providing advertising data on two categories. This data covers stores in 49 markets for store level data and 2 markets for consumer panel data. This is such a large data set (over 50 gigabytes) that we are delivering it on a USB drive. More information about this data set can found at the IRI web site. http://us.infores.com/academic This site contains a high level description of the data set (Bronnenberg, Kruger and Mela, 2008, published in the July-August issue of Marketing Science), and a document containing terms of use for the dataset. We've set up a Google Groups site to support the data set. This group is available to those who've signed the terms of use and received the data set. This is the first database submission that Marketing Science has accepted.

According to the data, the share of the sales value of consumer packaged goods (CPG) in Italy in the firt six months of 2023 was highest in supermarkets with just under ** percent. E-commerce, in contrast, featured a sales value share among consumer packaged goods of just *** percent.

Retail & Consumer Packaged Goods (CPG) Market Outlook

The global retail and consumer packaged goods (CPG) market size was valued at approximately $5.5 trillion in 2023 and is projected to reach around $8.1 trillion by 2032, exhibiting a compound annual growth rate (CAGR) of 4.3% over the forecast period. This significant growth can be attributed to various factors such as increasing consumer demand, rapid urbanization, and technological advancements that have revolutionized the retail sector.

One of the key growth factors driving the retail and CPG market is the rapid expansion of e-commerce. As digital transformation sweeps across industries, online retail channels have seen exponential growth. Consumers are increasingly inclined towards the convenience of online shopping, supported by enhanced internet penetration and smartphone usage. Consequently, numerous retail and CPG companies are investing heavily in developing robust online platforms and integrating advanced technologies like artificial intelligence (AI) and machine learning (ML) to enhance consumer experience and operational efficiency.

Another significant growth factor is the rising disposable income and changing lifestyles, particularly in emerging economies. As more people move into urban areas, the demand for a wide range of consumer goods, from personal care items to household products, has surged. This trend is further bolstered by the growing middle class who are willing to spend more on premium and high-quality products. Additionally, there is a noticeable shift towards health and wellness products, driven by increasing awareness about personal health and hygiene, which is positively impacting the market.

Technological advancements in supply chain management and logistics are also propelling the market forward. Efficient inventory management, real-time tracking, and faster delivery times are becoming crucial for maintaining competitive advantage in the retail and CPG sectors. Innovations such as blockchain technology for traceability, Internet of Things (IoT) for real-time data collection, and automated warehouses are helping companies streamline their operations, reduce costs, and meet consumer demands more effectively.

From a regional perspective, the Asia Pacific region is expected to witness substantial growth in the retail and CPG market. This can be attributed to the region's large population base, rapid urbanization, and increasing disposable income. Countries like China and India are at the forefront of this growth, with their booming e-commerce sectors and expanding middle-class population. Additionally, the North American and European markets are also anticipated to grow steadily, driven by technological advancements and consumer preference for premium products.

Convenience Store Retailing has emerged as a pivotal component in the retail landscape, particularly in densely populated urban areas. These stores offer a unique blend of accessibility and variety, catering to the fast-paced lifestyles of city dwellers. With their strategic locations and extended operating hours, convenience stores provide a quick and efficient shopping experience for consumers seeking essential items. They have adapted to changing consumer preferences by expanding their product offerings to include fresh foods, ready-to-eat meals, and even health and wellness products. This adaptability ensures that convenience stores remain a vital part of the retail ecosystem, meeting the immediate needs of consumers while also embracing new trends in retail.

Product Type Analysis

The retail and CPG market can be segmented by product type into food & beverages, personal care, household products, and others. The food & beverages segment dominates the market due to the essential nature of these products. Consumers' increasing focus on health and wellness has led to a higher demand for organic and natural food products, driving growth in this segment. Additionally, the rising trend of convenience foods and ready-to-eat meals is further propelling the market. Companies are also innovating with plant-based and alternative protein products to cater to the growing vegan and vegetarian population.

The personal care segment is another vital area, experiencing robust growth due to increasing consumer awareness about personal hygiene and grooming. Products such as skincare, haircare, and cosmetics are in high demand, mainly driven by millen

MealMe provides comprehensive grocery and retail SKU-level product data, including real-time pricing, from the top 100 retailers in the USA and Canada. Our proprietary technology ensures accurate and up-to-date insights, empowering businesses to excel in competitive intelligence, pricing strategies, and market analysis.

Retailers Covered: MealMe’s database includes detailed SKU-level data and pricing from leading grocery and retail chains such as Walmart, Target, Costco, Kroger, Safeway, Publix, Whole Foods, Aldi, ShopRite, BJ’s Wholesale Club, Sprouts Farmers Market, Albertsons, Ralphs, Pavilions, Gelson’s, Vons, Shaw’s, Metro, and many more. Our coverage spans the most influential retailers across North America, ensuring businesses have the insights needed to stay competitive in dynamic markets.

Key Features: SKU-Level Granularity: Access detailed product-level data, including product descriptions, categories, brands, and variations. Real-Time Pricing: Monitor current pricing trends across major retailers for comprehensive market comparisons. Regional Insights: Analyze geographic price variations and inventory availability to identify trends and opportunities. Customizable Solutions: Tailored data delivery options to meet the specific needs of your business or industry. Use Cases: Competitive Intelligence: Gain visibility into pricing, product availability, and assortment strategies of top retailers like Walmart, Costco, and Target. Pricing Optimization: Use real-time data to create dynamic pricing models that respond to market conditions. Market Research: Identify trends, gaps, and consumer preferences by analyzing SKU-level data across leading retailers. Inventory Management: Streamline operations with accurate, real-time inventory availability. Retail Execution: Ensure on-shelf product availability and compliance with merchandising strategies. Industries Benefiting from Our Data CPG (Consumer Packaged Goods): Optimize product positioning, pricing, and distribution strategies. E-commerce Platforms: Enhance online catalogs with precise pricing and inventory information. Market Research Firms: Conduct detailed analyses to uncover industry trends and opportunities. Retailers: Benchmark against competitors like Kroger and Aldi to refine assortments and pricing. AI & Analytics Companies: Fuel predictive models and business intelligence with reliable SKU-level data. Data Delivery and Integration MealMe offers flexible integration options, including APIs and custom data exports, for seamless access to real-time data. Whether you need large-scale analysis or continuous updates, our solutions scale with your business needs.

Why Choose MealMe? Comprehensive Coverage: Data from the top 100 grocery and retail chains in North America, including Walmart, Target, and Costco. Real-Time Accuracy: Up-to-date pricing and product information ensures competitive edge. Customizable Insights: Tailored datasets align with your specific business objectives. Proven Expertise: Trusted by diverse industries for delivering actionable insights. MealMe empowers businesses to unlock their full potential with real-time, high-quality grocery and retail data. For more information or to schedule a demo, contact us today!

MealMe provides comprehensive grocery and retail POI and SKU-level product data, including real-time pricing, from the top 100 retailers in the USA and Canada. Our proprietary technology ensures accurate and up-to-date insights, empowering businesses to excel in competitive intelligence, pricing strategies, and market analysis.

Retailers Covered: MealMe’s database includes detailed SKU-level data and pricing from leading grocery and retail chains such as Walmart, Target, Costco, Kroger, Safeway, Publix, Whole Foods, Aldi, ShopRite, BJ’s Wholesale Club, Sprouts Farmers Market, Albertsons, Ralphs, Pavilions, Gelson’s, Vons, Shaw’s, Metro, and many more. Our coverage spans the most influential retailers across North America, ensuring businesses have the insights needed to stay competitive in dynamic markets.

Key Features: SKU-Level Granularity: Access detailed product-level data, including product descriptions, categories, brands, and variations. Real-Time Pricing: Monitor current pricing trends across major retailers for comprehensive market comparisons. Regional Insights: Analyze geographic price variations and inventory availability to identify trends and opportunities. Customizable Solutions: Tailored data delivery options to meet the specific needs of your business or industry. Use Cases: Competitive Intelligence: Gain visibility into pricing, product availability, and assortment strategies of top retailers like Walmart, Costco, and Target. Pricing Optimization: Use real-time data to create dynamic pricing models that respond to market conditions. Market Research: Identify trends, gaps, and consumer preferences by analyzing SKU-level data across leading retailers. Inventory Management: Streamline operations with accurate, real-time inventory availability. Retail Execution: Ensure on-shelf product availability and compliance with merchandising strategies. Industries Benefiting from Our Data CPG (Consumer Packaged Goods): Optimize product positioning, pricing, and distribution strategies. E-commerce Platforms: Enhance online catalogs with precise pricing and inventory information. Market Research Firms: Conduct detailed analyses to uncover industry trends and opportunities. Retailers: Benchmark against competitors like Kroger and Aldi to refine assortments and pricing. AI & Analytics Companies: Fuel predictive models and business intelligence with reliable SKU-level data. Data Delivery and Integration MealMe offers flexible integration options, including APIs and custom data exports, for seamless access to real-time data. Whether you need large-scale analysis or continuous updates, our solutions scale with your business needs.

Why Choose MealMe? Comprehensive Coverage: Data from the top 100 grocery and retail chains in North America, including Walmart, Target, and Costco. Real-Time Accuracy: Up-to-date pricing and product information ensures competitive edge. Customizable Insights: Tailored datasets align with your specific business objectives. Proven Expertise: Trusted by diverse industries for delivering actionable insights. MealMe empowers businesses to unlock their full potential with real-time, high-quality grocery and retail data. For more information or to schedule a demo, contact us today!

Global Consumer Packaged Goods (CPG) Software Market size was valued at USD 20.1 Billion in 2024 and is projected to reach USD 29.9 Billion by 2032, growing at a CAGR of 5.09% during the forecast period 2026-2032.Global Consumer Packaged Goods (CPG) Software Market: Definition/ OverviewConsumer Packaged Goods (CPG) software is a type of software that enables firms to manage and monitor numerous aspects of their products along the supply chain. This encompasses everything from manufacturing to final sales. In essence, CPG software streamlines operations for organizations that manufacture the everyday consumable goods we see on store shelves.CPG software delivers real-time data and insights into what's going on throughout the supply chain, offering manufacturers a better understanding of inventory levels, manufacturing efficiency, and potential bottlenecks.

Analysis of ‘Store Transaction data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/iamprateek/store-transaction-data on 14 February 2022.

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

Context

Nielsen receives transaction level scanning data (POS Data) from its partner stores on a regular basis. Stores sharing POS data include bigger format store types such as supermarkets, hypermarkets as well as smaller traditional trade grocery stores (Kirana stores), medical stores etc. using a POS machine.

While in a bigger format store, all items for all transactions are scanned using a POS machine, smaller and more localized shops do not have a 100% compliance rate in terms of scanning and inputting information into the POS machine for all transactions.

A transaction involving a single packet of chips or a single piece of candy may not be scanned and recorded to spare customer the inconvenience or during rush hours when the store is crowded with customers.

Thus, the data received from such stores is often incomplete and lacks complete information of all transactions completed within a day.

Additionally, apart from incomplete transaction data in a day, it is observed that certain stores do not share data for all active days. Stores share data ranging from 2 to 28 days in a month. While it is possible to impute/extrapolate data for 2 days of a month using 28 days of actual historical data, the vice versa is not recommended.

Nielsen encourages you to create a model which can help impute/extrapolate data to fill in the missing data gaps in the store level POS data currently received.

Content

You are provided with the dataset that contains store level data by brands and categories for select stores-

Hackathon_ Ideal_Data - The file contains brand level data for 10 stores for the last 3 months. This can be referred to as the ideal data.

Hackathon_Working_Data - This contains data for selected stores which are missing and/or incomplete.

Hackathon_Mapping_File - This file is provided to help understand the column names in the data set.

Hackathon_Validation_Data - This file contains the data stores and product groups for which you have to predict the Total_VALUE.

Sample Submission - This file represents what needs to be uploaded as output by candidate in the same format. The sample data is provided in the file to help understand the columns and values required.

Acknowledgements

Nielsen Holdings plc (NYSE: NLSN) is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. Nielsen is divided into two business units. Nielsen Global Media, the arbiter of truth for media markets, provides media and advertising industries with unbiased and reliable metrics that create a shared understanding of the industry required for markets to function. Nielsen Global Connect provides consumer packaged goods manufacturers and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary Nielsen data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. An S&P 500 company, Nielsen has operations in over 100 countries, covering more than 90% of the world’s population.

Know more: https://www.nielsen.com/us/en/

Inspiration

Build an imputation and/or extrapolation model to fill the missing data gaps for select stores by analyzing the data and determine which factors/variables/features can help best predict the store sales.

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

The Web Analytics market in Retail and CPG is experiencing robust growth, projected to reach $1.22 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 18.19% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing need for data-driven decision-making within retail and consumer packaged goods (CPG) companies is paramount. Businesses are leveraging web analytics to gain deeper insights into consumer behavior, optimize marketing campaigns, personalize customer experiences, and improve operational efficiency. The rising adoption of e-commerce and omnichannel strategies further accelerates market growth, demanding sophisticated analytics to track customer journeys across multiple touchpoints. Furthermore, advancements in artificial intelligence (AI) and machine learning (ML) are enhancing the capabilities of web analytics platforms, enabling more accurate predictions and proactive adjustments to business strategies. The market is segmented by offering (solutions and services), organization size (SMEs and large enterprises), and application (SEO/ranking, online marketing, customer profiling, application performance management, social media management, and others). Large enterprises currently dominate the market due to their greater resources and sophisticated analytics requirements, but the SME segment is expected to witness significant growth driven by the accessibility of cloud-based analytics solutions. Geographic distribution shows strong growth potential across regions, particularly in the Asia-Pacific region fueled by rapid e-commerce adoption and digital transformation initiatives. North America and Europe maintain substantial market shares due to early adoption and mature digital infrastructure. Competition in the market is intense, with major players like Google, IBM, Meta, Adobe, Microsoft, and Salesforce offering a wide range of analytics solutions and services. However, the market also accommodates smaller, specialized providers catering to niche needs. The future growth of the Web Analytics market in Retail and CPG will depend on factors like continued innovation in analytics technologies, the increasing complexity of customer data, the need for enhanced data security and privacy, and the evolving regulatory landscape around data usage. Companies that can effectively address these factors and deliver comprehensive, user-friendly, and insightful analytics platforms are poised to capture significant market share in the coming years. The focus will continue to shift toward predictive analytics, real-time dashboards, and integrated solutions that provide a holistic view of the customer journey. Recent developments include: April 2024 - IBM Consulting and Microsoft have unveiled the opening of the IBM-Microsoft Experience Zone in Bangalore, India. The Experience Zone is designed as an exclusive venue where clients can delve into the potential of generative AI, hybrid cloud solutions, and other advanced Microsoft offerings. The goal is to expedite their business transformations and secure a competitive edge., January 2024 - Microsoft Corp. announced a suite of generative AI and data solutions tailored for retailers. These solutions cover every touchpoint of the retail shopper journey, from crafting personalized shopping experiences and empowering store associates to harness and consolidating retail data, ultimately aiding brands in better connecting with their target audiences. Microsoft's initiatives include introducing copilot templates on Azure OpenAI Service, enhancing retailers' ability to craft personalized shopping experiences, and streamlining store operations. Microsoft Fabric hosts advanced retail data solutions, while Microsoft Dynamics 365 Customer Insights boasts new copilot features. Microsoft also rolled out the Retail Media Creative Studio within the Microsoft Retail Media Platform. These advancements collectively bolster Microsoft Cloud for Retail, providing retailers with diverse tools to integrate copilot experiences across the entire shopper journey seamlessly.. Key drivers for this market are: Growing Demand for Online Shopping Trends, Rising Adoption of Analytics Tools to Understand Customer Preferences; Increasing Customer Centric Approach and Use of Recommendation Engines. Potential restraints include: Growing Demand for Online Shopping Trends, Rising Adoption of Analytics Tools to Understand Customer Preferences; Increasing Customer Centric Approach and Use of Recommendation Engines. Notable trends are: Search Engine Optimization and Ranking Sector Significantly Driving the Market Growth.

According to data, the inflation rate of consumer packaged goods (CPG) private labels in Italy experienced a mostly decreasing trend between January and November 2023. After an initial peak of 16.5 percent in March 2023, the inflation rate of CPGs decreased to a low of 3.1 percent as of November 2023.

The APAC retail analytics market, valued at $9.28 billion in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 14.43% from 2025 to 2033. This surge is driven by the increasing adoption of data-driven decision-making strategies among retailers in the region. E-commerce expansion, the rising need for personalized customer experiences, and the proliferation of advanced technologies like AI and machine learning are key catalysts. The market is segmented by deployment mode (on-premise and on-demand), type (solutions and services), module type (strategy, marketing, financial management, store operations, merchandising, supply chain, and others), business type (SMEs and large-scale organizations), and geography (China, India, Japan, and South Korea). The on-demand segment is witnessing faster growth due to its scalability and cost-effectiveness. Services, particularly integration, support, and consulting, are in high demand as retailers need assistance in implementing and leveraging these analytics solutions. Large-scale organizations are currently the major consumers, however, the SME segment is poised for significant growth, driven by increasing affordability and accessibility of cloud-based solutions. While data privacy concerns and the complexity of integrating various data sources pose challenges, the overall market outlook remains highly positive, fueled by continuous technological advancements and growing digitalization across the APAC retail landscape. China and India, with their vast retail markets and rapidly evolving technological infrastructure, are expected to be the leading contributors to market expansion. The competitive landscape is dynamic, with a mix of established players like IBM, SAP, and Oracle, alongside specialized retail analytics vendors such as Qlik, Tableau, and Retail Next. These companies are focusing on innovation in areas such as predictive analytics, customer segmentation, and supply chain optimization to capture market share. Strategic partnerships, mergers and acquisitions, and the development of comprehensive, integrated platforms are becoming increasingly important competitive strategies. The success of companies in this space hinges on their ability to provide robust, user-friendly solutions that offer actionable insights and effectively address the specific needs of retailers across various segments and geographies. Future growth will likely be driven by the increased adoption of advanced analytics techniques, such as real-time analytics and sentiment analysis, and the integration of these analytics with other retail technologies, such as CRM and POS systems. This report provides a comprehensive analysis of the APAC Retail Analytics Market, covering the period 2019-2033. It delves into the market's size, growth drivers, challenges, and future trends, offering invaluable insights for businesses operating or planning to enter this dynamic sector. The study's base year is 2025, with estimations for 2025 and forecasts extending to 2033, utilizing historical data from 2019-2024. Key players like Qlik Technologies Inc, IBM Corporation, Adobe Systems Incorporated, SAP SE, and others are profiled. This report is essential for investors, retailers, and analytics providers seeking to navigate the complexities of this rapidly evolving market. Recent developments include: August 2022: Maxis invested in ComeBy, a Malaysia-based retail analytics startup, to bolster innovation and digitalization within the retail industry. ComeBy offers brick-and-mortar retailers valuable insights into individual shopper preferences before reaching the checkout counter. The company asserts that its approach, which combines both active and passive tracking, enhances customer engagement and optimizes in-store sales, as well as remarketing and merchandising efforts., June 2022: Amazon introduced a groundbreaking analytics tool that empowers consumer packaged goods (CPG) companies to monitor consumer interest in their products within Amazon Go and Amazon Fresh stores, known for their frictionless checkout technology. The new service, named Store Analytics, provides suppliers with "aggregated and anonymous insights" regarding customer interactions with their products, utilizing data collected by Amazon's innovative Walk Out and Dash Cart systems.. Key drivers for this market are: Increased Emphasis on Predictive Analysis, Sustained increase in volume of data; Growing demand for sales forecasting. Potential restraints include: Lack of general awareness and expertise in emerging regions, Standardization and Integration issues. Notable trends are: Solutions Segment is Anticipated to Hold Major Market Share.

The Retail and Consumer Packaged Goods (CPG) market is a dynamic sector that encompasses a broad array of products sold through various retail channels, including grocery stores, supermarkets, convenience stores, pharmacies, and online platforms. This market, valued in the trillions globally, has significantly evolv

The IRI InfoScan dataset, created by Information Resources, Inc. (IRI)—a market research company later merged with NPD Group to form Circana—contains detailed retail sales data for food and consumer goods. It captures transaction-level data from thousands of U.S. retail outlets, including grocery stores, mass merchandisers, convenience stores, and drugstores, at the Universal Product Code (UPC) level. The dataset includes metrics such as sales volume, revenue, pricing, and product-level transactions, enabling analysis of consumer behavior and market trends. Its primary purpose is to provide market intelligence for industries like consumer packaged goods (CPG), retail, and healthcare. Use cases include tracking sales performance, evaluating marketing campaigns, and benchmarking against competitors. Researchers and government agencies (e.g., USDA) also use it to study food expenditures and price trends, often comparing it with survey data for validation. Key features include its broad retail coverage (over 2,700 outlets at peak), granular UPC-level detail, and weekly updates, making it a dynamic tool for real-time market analysis. The dataset’s proprietary nature and historical depth (dating back decades) further distinguish it, though access is restricted to authorized clients. Post-2022, it operates under Circana’s OmniMarket Core Outlets branding, retaining its role as a critical resource for retail and economic research. (Source: IRI company history, USDA ERS documentation, and Circana product updates)

The global in-store retail packaging market is projected to reach $XXX million by 2033, expanding at a CAGR of XX% from 2025 to 2033. The market growth is primarily driven by the rising demand for convenient and sustainable packaging solutions in the retail sector, increasing consumer preference for aesthetically appealing packaging, and growing online retail sales. The food industry remains the dominant application segment, followed by personal care and other end-use industries. Furthermore, the increasing adoption of sustainable packaging practices is expected to drive the demand for eco-friendly packaging materials, such as paper and bioplastics. Geographically, North America is the largest market for in-store retail packaging, followed by Europe and Asia Pacific. The increasing demand for packaged goods and the presence of major retail chains are key drivers of growth in North America. In Europe, the growing emphasis on sustainability and the adoption of eco-friendly packaging solutions are expected to fuel market growth. Asia Pacific is emerging as a significant market, primarily due to the rapidly growing retail sector and increasing consumer spending. Key market players include DS Smith, Smurfit Kappa, Mondi, International Paper, WestRock, STI Group, C&B Display Packaging, Pratt Industries, and Weedon Group, among others.

American Packaging, a leading manufacturer of packaging solutions, is a well-established company with a strong presence in the industry. The company's focus on designing and producing innovative packaging products has enabled it to build a reputation for its high-quality and reliable solutions.

American Packaging's packaging solutions cater to a wide range of industries, from food and beverage to healthcare and pharmaceuticals. The company's commitment to quality and customer satisfaction has earned it a loyal customer base, and its products are known for their durability and effectiveness.

The On-Shelf Availability (OSA) market plays a critical role in the retail and consumer packaged goods sectors, encompassing the strategies and technologies employed to ensure that products are consistently available on store shelves for consumers. In an era where customer experience is paramount, retailers and manu

Snapshot img

FMCG Market Size 2025-2029

The FMCG market size is forecast to increase by USD 456.9 billion, at a CAGR of 3.2% between 2024 and 2029.

The FMCG Market is segmented by type (food and beverage, personal and beauty care, health and hygiene care, home care), distribution channel (offline, online), product type (premium, mass market, private label), production type (in-house, contract-based), and geography (North America: US, Canada; Europe: France, Germany, Italy, UK; Middle East and Africa: Egypt, KSA, Oman, UAE; APAC: China, India, Japan; South America: Argentina, Brazil; Rest of World). This segmentation reflects the market's diversity, driven by rising consumer demand for premium and mass market products, growing online distribution in regions like India and China, and a mix of in-house and contract-based production to meet global and regional needs.
The Fast-Moving Consumer Goods (FMCG) market is experiencing significant shifts, driven by evolving consumer preferences and emerging trends. The increasing popularity of e-commerce as a distribution channel is reshaping the market landscape, offering convenience and accessibility to consumers. This trend is particularly noticeable in urban areas, where time-strapped consumers are turning to online platforms for their FMCG needs. Another key trend shaping the market is the growing demand for ready-to-eat food products. With consumers leading increasingly busy lives, the convenience offered by these products is a significant draw. However, this trend poses challenges for manufacturers and retailers, particularly in emerging economies where proper infrastructure is lacking.
The absence of reliable cold chain logistics and storage facilities can make it difficult to ensure the quality and safety of these products, creating a significant hurdle for market expansion. Companies seeking to capitalize on the opportunities presented by these trends while navigating the challenges must focus on building robust supply chain networks and investing in technology to enhance their e-commerce capabilities.

What will be the Size of the FMCG Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The Fast-Moving Consumer Goods (FMCG) market continues to evolve, with various sectors experiencing dynamic shifts. Ethical sourcing is a growing concern in the production of personal hygiene and personal care products, shaping brand management strategies. Oral care and bottled water segments witness increased competition, driving marketing efforts on e-commerce platforms. Health supplements and food products, including poultry and dairy, face regulatory compliance challenges. Supply chain management remains crucial for maintaining competitive advantage in the face of evolving consumer behavior. Dishwashing soaps, laundry detergents, and cleaning supplies adapt to consumer preferences, while sales promotion and product innovation are key strategies for retailers.

Consumer segmentation and product placement are essential for targeting various audiences. Non-alcoholic beverages, such as soft drinks and canned goods, navigate pricing strategies and distribution channels. Frozen foods, dry goods, and meat products focus on shelf life and product innovation. Brand loyalty is a significant factor in the market, with product lifecycle management playing a key role in maintaining customer engagement. Household goods, including bakery products and pet care, prioritize quality control and packaging materials. Tobacco products face regulatory pressures and shifting consumer attitudes. In the ever-changing FMCG landscape, seafood products, baby care, and household goods adapt to consumer trends.

Ingredient sourcing and inventory management remain crucial for maintaining market presence. Non-alcoholic beverages, laundry detergents, and retail stores leverage product innovation to stay competitive. Convenience stores and drug stores cater to specific consumer needs, while product packaging continues to evolve to meet changing preferences. The market's continuous dynamism is reflected in the ongoing unfolding of market activities and evolving patterns. Market players must remain agile and responsive to shifting consumer demands and regulatory requirements. Adapting to these changes is essential for maintaining a competitive edge and thriving in the ever-evolving FMCG landscape.

How is this FMCG Industry segmented?

The fmcg industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Food and beverage
  Personal and beauty care
  Health and hygiene care
  Home care


Distribution Channel

  Offline
  Online


Product Type

Image Recognition In CPG Market Outlook

The global image recognition in Consumer Packaged Goods (CPG) market size in 2023 is estimated to be valued at USD 4.5 billion and is anticipated to reach approximately USD 12.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 12.4% during the forecast period. The driving force behind this robust growth is the increasing adoption of advanced technologies by CPG companies to enhance operational efficiency and consumer experience.

Technological advancements in artificial intelligence (AI) and machine learning (ML) are propelling the growth of the image recognition market in the CPG sector. AI-powered image recognition tools are transforming how companies manage inventory, monitor shelves, and execute retail strategies. The need for real-time data to make instantaneous decisions is pushing companies to invest in this technology, thus driving market growth. Additionally, the integration of image recognition with other AI technologies like natural language processing (NLP) and big data analytics provides a holistic approach to managing operations efficiently.

The surge in e-commerce activities further boosts the demand for image recognition technologies. As consumer behavior shifts towards online shopping, e-commerce platforms are leveraging image recognition to offer personalized experiences. From visual search to virtual try-ons, image recognition enhances the shopping experience, helping companies to retain customers and increase sales. This shift towards digital retailing is a significant growth factor in the CPG market.

Moreover, the increasing focus on minimizing human errors and optimizing shelf management in brick-and-mortar stores is driving the adoption of image recognition technologies. Retailers are utilizing image recognition to ensure proper shelf stocking, accurate pricing, and compliance with planograms. This technology reduces the dependency on manual audits and ensures higher accuracy, thus improving overall store performance. The ability to automate these processes not only saves time but also reduces operational costs, making it an attractive investment for CPG companies.

Regionally, North America is expected to dominate the image recognition in CPG market, accounting for a substantial market share. The region's advanced technological infrastructure, coupled with significant investments in AI and ML, places it at the forefront of market growth. Europe follows closely, driven by regulatory initiatives and a strong retail sector. Meanwhile, the Asia Pacific region is anticipated to witness the highest growth rate, propelled by rapid digitalization, increasing smartphone penetration, and a booming e-commerce industry.

Component Analysis

The image recognition in CPG market can be segmented by component into software, hardware, and services. The software segment is anticipated to hold the largest market share owing to the rapid advancements in AI algorithms and the increasing demand for sophisticated image recognition solutions. Software solutions offer high scalability and flexibility, enabling companies to integrate them seamlessly into their existing systems. The continuous development of more intuitive and efficient software applications is driving this segment's growth.

Hardware components, although not as dominant as software, play a critical role in the image recognition ecosystem. High-quality cameras, powerful processors, and advanced sensors are essential for accurate image capture and processing. The hardware segment is expected to witness steady growth as companies invest in upgrading their existing infrastructure to support advanced image recognition capabilities. Innovations in hardware technology, such as the development of edge computing devices, are also contributing to this segment's growth.

Services, including consulting, training, and maintenance, are crucial for the successful deployment and operation of image recognition solutions in the CPG sector. The services segment is expected to grow significantly as companies seek expert guidance to navigate the complexities of integrating new technologies into their operations. Managed services, in particular, are gaining traction as they offer ongoing support and maintenance, ensuring the optimal performance of image recognition systems.

The synergy between software, hardware, and services is essential for the comprehensive implementation of image recognition technologies. Companies are increasingly adopting integrated solutions that c

Recovering economy in Portugal will offer new growth opportunities in the consumer packaged goods market in the country. The Portuguese Oral Hygiene market is led by the Toothpaste category in value terms which is also forecast to register the fastest growth during 2015-2020. Glaxosmithkline Plc is the leading market player in the country. Read More