Similar to other areas of packaged food, consumer demand for plant-based alternatives is expected to continue to grow in staple foods over the forecast period. The shift towards plant-based foods is being driven primarily by the health and wellness trend, with consumers becoming increasingly aware of the positive health benefits associated with adopting a plant-based diet.
One of the main categories that should benefit from the rising consumer demand for dietary and free from foods is gluten free, which is expected to see large incremental growth in staple foods over 2022-2027, with retail sales expanding by AUD333 million to reach AUD1.8 billion in 2022 constant value terms.
Vegan and plant-based alternatives, foods for specific diets, and foods that can be consumed by those with intolerances are expected to see rising popularity in the forecast period, as consumers seek to look after their own body. As such, keto, which is another dietary and free from type of health and wellness attribute, is anticipated to witness rising sales in staple foods over the forecast period.
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Health and Wellness encompasses a number of key claims made on a food or drink products that suggest a health and/or wellness positioning. It comprises positionings relating to better for you, dietary and free from, fortified/functional, health benefit, natural and organic. This is the aggregation of baked goods, breakfast cereals, processed fruit and vegetables, processed meat, seafood and alternatives to meat and rice, pasta and noodles NOTE: Couscous, polenta and quinoa are excluded from staple foods. For full product category definitions please refer to the definitions section (can be found under the "Help" section on Passport) for the respective system: Cooking Ingredients and Meals, Dairy Products and Alternatives, Snacks, Staple Foods, Hot Drinks, Soft Drinks. Please note that data is not available at this level or other aggregated claim levels.
See All of Our DefinitionsThis report originates from Passport, our HW Staple Foods research and analysis database.
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