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Global Textural Food Ingredients Market to reach USD XX billion by 2028.

Global Textural Food Ingredients Market to reach USD XX billion by 2028.

Product Code: OIRFB-13167675
Publish Date: 16-03-2022
Page: 200

Global Textural Food Ingredients Market is valued approximately USD XX billion in 2021 and is anticipated to grow with a healthy growth rate of more than XX % over the forecast period 2022-2028. Texture plays an integral role in food. Every food formulator includes texture ingredients in their food development process. These ingredients include starches, gums, polyols, oligosaccharides, resistant dextrins, polydextrose, and other dietary substances. Growing food and beverages industry in emerging economies and increasing demand for different types of textures are key drivers for the growth of Textural Food Ingredients market. For instance, according to Global database management company Statista- Global revenue in the Food segment is estimated at USD 2.73 trillion in the year 2022. Revenue is expected to show an annual growth rate of 23.38%, resulting in a projected market volume of USD 5.1 trillion by the year 2025. Also, with the increasing demand for dairy products and growing per capita income in emerging economies, the adoption & demand for Textural Food Ingredients is likely to increase the market growth during the forecast period. However, volatile raw materials cost and negative impact of covid restrictions on end use verticals impede the growth of the market over the forecast period of 2022-2028.

The key regions considered for the global Textural Food Ingredients market study includes Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world in terms of market share owing to presence of leading market players and shifting consumption patterns in the region. Whereas, Asia-Pacific is anticipated to exhibit highest growth rate over the forecast period 2022-2028. Factors such as growing food and beverages industry in emerging countries in the region would create lucrative growth prospects for the Textural Food Ingredients market across Asia-Pacific region.

Major market player included in this report are:
Ajinomoto Co, Inc
Archer Daniels Midland Company
Ashland Global Holdings Inc
Cargill, Incorporated
CP Kelco
Dohler GmbH
E I du Pont de Nemours and Company
FMC Corporation
Foodchem International Corporation
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Type:
Starch and Derivatives
By Form:
By Functionality:
Emulsifying Agent
Thickening Agent
Stabilising Agent
Gelling Agent
By End Use Industries:
Dairy Products and Frozen Food
Bakery and Confectionery
Sauces, Dressings, and Condiments
Snacks and Savoury
Meat and Poultry Products
Pet Food
By Region:
North America

Asia Pacific
South Korea
Latin America
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019, 2020
Base year – 2021
Forecast period – 2022 to 2028

Target Audience of the Global Textural Food Ingredients Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Billion)
1.2.1. Textural Food Ingredients Market, by Region, 2020-2028 (USD Billion)
1.2.2. Textural Food Ingredients Market, by Type, 2020-2028 (USD Billion)
1.2.3. Textural Food Ingredients Market, by Form, 2020-2028 (USD Billion)
1.2.4. Textural Food Ingredients Market, by Functionality, 2020-2028 (USD Billion)
1.2.5. Textural Food Ingredients Market, by End Use Industries, 2020-2028 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Textural Food Ingredients Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Textural Food Ingredients Market Dynamics
3.1. Textural Food Ingredients Market Impact Analysis (2020-2028)
3.1.1. Market Drivers Growing Food and beverages industry in emerging economies. Increasing demand for different types of textures.
3.1.2. Market Challenges Volatile raw materials cost. Negative impact of covid restrictions on end use verticals.
3.1.3. Market Opportunities Increasing demand for dairy products. Growing per capita income in emerging economies.
Chapter 4. Global Textural Food Ingredients Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2019-2028)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
4.5. Top investment opportunity
4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1.1. Assessment of the overall impact of COVID-19 on the industry
5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global Textural Food Ingredients Market, by Type
6.1. Market Snapshot
6.2. Global Textural Food Ingredients Market by Type, Performance – Potential Analysis
6.3. Global Textural Food Ingredients Market Estimates & Forecasts by Type 2019-2028 (USD Billion)
6.4. Textural Food Ingredients Market, Sub Segment Analysis
6.4.1. Hydrocolloids
6.4.2. Starch and Derivatives
6.4.3. Emulsifiers
6.4.4. Others

Chapter 7. Global Textural Food Ingredients Market, by Form
7.1. Market Snapshot
7.2. Global Textural Food Ingredients Market by Form, Performance – Potential Analysis
7.3. Global Textural Food Ingredients Market Estimates & Forecasts by Form 2019-2028 (USD Billion)
7.4. Textural Food Ingredients Market, Sub Segment Analysis
7.4.1. Concentrate
7.4.2. Powders
7.4.3. Flakes

Chapter 8. Global Textural Food Ingredients Market, by Functionality
8.1. Market Snapshot
8.2. Global Textural Food Ingredients Market by Functionality, Performance – Potential Analysis
8.3. Global Textural Food Ingredients Market Estimates & Forecasts by Functionality 2019-2028 (USD Billion)
8.4. Textural Food Ingredients Market, Sub Segment Analysis
8.4.1. Emulsifying Agent
8.4.2. Thickening Agent
8.4.3. Stabilising Agent
8.4.4. Gelling Agent
8.4.5. Others

Chapter 9. Global Textural Food Ingredients Market, by End Use Industries
9.1. Market Snapshot
9.2. Global Textural Food Ingredients Market by End Use Industries, Performance – Potential Analysis
9.3. Global Textural Food Ingredients Market Estimates & Forecasts by End Use Industries 2019-2028 (USD Billion)
9.4. Textural Food Ingredients Market, Sub Segment Analysis
9.4.1. Dairy Products and Frozen Food
9.4.2. Bakery and Confectionery
9.4.3. Sauces, Dressings, and Condiments
9.4.4. Beverages
9.4.5. Snacks and Savoury
9.4.6. Meat and Poultry Products
9.4.7. Pet Food

Chapter 10. Global Textural Food Ingredients Market, Regional Analysis
10.1. Textural Food Ingredients Market, Regional Market Snapshot
10.2. North America Textural Food Ingredients Market
10.2.1. U.S. Textural Food Ingredients Market Type breakdown estimates & forecasts, 2019-2028 Form breakdown estimates & forecasts, 2019-2028 Functionality breakdown estimates & forecasts, 2019-2028 End Use Industries breakdown estimates & forecasts, 2019-2028
10.2.2. Canada Textural Food Ingredients Market
10.3. Europe Textural Food Ingredients Market Snapshot
10.3.1. U.K. Textural Food Ingredients Market
10.3.2. Germany Textural Food Ingredients Market
10.3.3. France Textural Food Ingredients Market
10.3.4. Spain Textural Food Ingredients Market
10.3.5. Italy Textural Food Ingredients Market
10.3.6. Rest of Europe Textural Food Ingredients Market
10.4. Asia-Pacific Textural Food Ingredients Market Snapshot
10.4.1. China Textural Food Ingredients Market
10.4.2. India Textural Food Ingredients Market
10.4.3. Japan Textural Food Ingredients Market
10.4.4. Australia Textural Food Ingredients Market
10.4.5. South Korea Textural Food Ingredients Market
10.4.6. Rest of Asia Pacific Textural Food Ingredients Market
10.5. Latin America Textural Food Ingredients Market Snapshot
10.5.1. Brazil Textural Food Ingredients Market
10.5.2. Mexico Textural Food Ingredients Market
10.6. Rest of The World Textural Food Ingredients Market

Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. Ajinomoto Co. Inc Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
11.2.2. Archer Daniels Midland Company
11.2.3. Ashland Global Holdings Inc
11.2.4. Cargill, Incorporated
11.2.5. CHS Inc
11.2.6. CP Kelco
11.2.7. Dohler GmbH
11.2.8. E I du Pont de Nemours and Company
11.2.9. FMC Corporation
11.2.10. Foodchem International Corporation
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. Research Assumption

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Data Collection:
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In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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