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Instant noodles are a convenient food item available in dried and precooked form together with seasoning oil and flavoring powder. Noodles are made from flour and alkaline mixtures. Other ingredients added in noodles’ dough include edible oil, starch, and stabilizers. Instant noodles are gaining popularity worldwide owing to factors such as its easy portability, easy to cook, and longer storage capability.

Market Outlook

  • Global instant noodles market is expected to record significant growth over the forecast period, owing to rising urbanization, increasing number of working women, and changing lifestyle of people. According to The World Bank Statistics published, the rate of female labor force of total labor force increased from 38.9% in 2012 to 39.0% in 2018, globally.
  • Furthermore, demand for instant noodles is increasing, owing to hectic lifestyle of the population, resulting in shifting preferences towards convenience food. Rising disposable income of the population coupled with inclination towards convenience food such as noodles is expected to increase demand for instant noodles over the forecast period (2019–2027). According to Trading Economics, the aggregate personal disposable income in the U.S. increased from US$ 14,000 billion in 2016 to US$ 16,500 billion in September 2019.
  • On the basis of product type, the global instant noodles market is segmented into fried and non-fried noodles. In 2018, fried instant noodles segment held the dominant share in the global market. On the contrary, non-fried noodles are projected to record fastest growth over the forecast period, owing to lower fat content. Non-fried noodles contain one-fourth of fat (4-6g/ 100 g) when compared with dried noodles, which contains around 20g of fat. Increasing diseases associated with high consumption of fats such as high-blood pressure, osteoporosis, and heart diseases is shifting consumer preferences towards healthy eating, resulting in high demand for non-fried noodles in the near future.
  • Based on distribution channel, in 2018, hypermarkets and supermarkets segments together accounted for the largest market share in terms of revenue in the global instant noodles market, attributing to availability of large variety of products and offers on various brands in hypermarkets and supermarkets.
  • Innovation in products and value-addition in packaging, and entry of new players are some more factors expected to aid in growth of the market. Furthermore, launch of new flavors such as classic masala and chicken flavor, Indo-Chinese, Tomato, and others, by several companies including Nestlé is contributing to higher demand for instant noodles in the near future.

Key Players

Major companies operating in the global instant noodles market are Nestlé SA, Hebei Hualong Food Group Co., Ltd., Nissin Foods Holdings Co. Ltd., PT Indofood Sukses Makmur Tbk, Tingyi (Cayman Islands) Holding Corporation, Acecook Vietnam Joint Stock Company, and Toyo Suisan Kaisha, Ltd.

Market Taxonomy

On the basis of product type, the global instant noodles market is segmented into:

  • Fried Noodles
  • Non-fried noodles

On the basis of distribution channel, the global instant noodles market is segmented into:

  • Hypermarkets
  • Supermarkets
  • Specialty Stores
  • Online Stores
  • Others

On the basis of region, the global instant noodles market is segmented into:

  • North America
    • U.S.
    • Canada
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Rest of Latin America
  • Europe
    • U.K.
    • Germany
    • Italy
    • France
    • Russia
    • Spain
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • ASEAN
    • Australia
    • South Korea
    • Rest of Asia Pacific
  • Middle East
    • GCC
    • Israel
    • Rest of Middle East
  • Africa
    • North Africa
    • Central Africa
    • South Africa
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Research Methodology

Coherent Market Insights followsa comprehensive research methodology focused on providing the most precise market analysis. The company leverages a data triangulation model which helps company to gauge the market dynamics and provide accurate estimates. Key components of the research methodologies followed for all our market reports include:

  • Primary Research (Trade Surveys and Experts Interviews)
  • Desk Research
  • Proprietor Data Analytics Model

In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.


Data Triangulation Methodology | Coherent Market Insights

Coherent Market Insights desk research is based on a principle set of research techniques:

  • National level desk research: It Includes research analysis of regional players, regional regulatory bodies, regional trade associations, and regional organization.
  • Multinational level desk research: The research team keeps a track of multinational players, global regulatory bodies, global trade associations, and global organization.

Coherent Market Insights has a large amount of in-house repository of industry database. This is leveraged as a burner for initiating a new research study. Key secondary sources include:

  • Governmental bodies, National and international social welfare institutions, and organizations creating economic policies among others.
  • Trade association, National and international media and trade press.
  • Company Annual reports, SEC filings, Corporate Presentations, press release, news, and specification sheet of manufacturers, system integrators, brick and mortar - distributors and retailers, and third party online commerce players.
  • Scientific journals, and other technical magazines and whitepapers.

Market Analysis | Coherent Market Insights

Preliminary Data Mining

The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.

Data Standardization

Holistic approach is used to ensure that the granular and uncommon parameters are taken into consideration to ensure accurate results. The information from the paid databases are further combined to the raw data in order to standardize it.

Coherent Statistical model

We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:

  • Micro-economic indicators
  • Macro-economic indicators
  • Environmental indicators
  • Socio-political indicators
  • Technology indicators

Data Processing

Once the findings are derived from the statistical model, large volume of data is process to confirm accurate research results. Data analytics and processing tools are adopted to process large chunk of collected informative data. In case, a client customizes the study during the process, the research finding till then are benchmarked, and the process for new research requirement is initiated again.

Data Validation

This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:

  • It provides first-hand information on the market dynamics, outlook, and growth parameters.
  • Industry experts validates the estimates which helps the company to cement the on-going research study.
  • Primary research includes online surveys, face-to face interviews, and telephonic interviews.

The primary research is conducted with the ecosystem players including, but not limited to:

  • Raw Material Suppliers
  • Manufacturers
  • System Integrators
  • Distributors
  • End-users

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