Microbial Food Ingredient Market Share & Trends Analysis Report, By Type (Starter Cultures, Protective Cultures, Probiotic Cultures), By Application (Food, Drinks & Other), By Region, and Segment Forecasts, 2024-2031

Report Id: 2568 Pages: 180 Last Updated: 18 July 2024 Format: PDF / PPT / Excel / Power BI
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Segmentation of Microbial Food Ingredient Market

Global Microbial Food Ingredient Market, By Microorganism

  • Bacteria
  • Yeast
  • Mold

microbial food ingredient

Global Microbial Food Ingredient Market – By Product Type

  • Starter Cultures
  • Protective Cultures
  • Probiotic Cultures

Global Microbial Food Ingredient Market – By Strain

  • Single-Strain Culture
  • Multi-Strain Culture
  • Multi-Strain Mixed Culture

Global Microbial Food Ingredient Market – By End Use

  • Animal Feed Additives
  • Food and Beverage Manufacturers
    • Dairy Products
      • Cheese
      • Butter
      • Yogurt
      • Dairy-based Beverages
    • Baked Products
      • Bread
      • Pastries
      • Muffins
      • Pancakes
    • Breakfast Cereals
    • Beverages
      • Alcoholic
      • Non-alcoholic

Global Microbial Food Ingredient Market – By Region

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Microbial Food Ingredient Market Snapshot

Chapter 4. Global Microbial Food Ingredient Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Microorganism Estimates & Trend Analysis
5.1. by Microorganism & Market Share, 2019 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Microorganism:

5.2.1. Bacteria
5.2.2. Yeast
5.2.3. Mold

Chapter 6. Market Segmentation 2: by Product Type Estimates & Trend Analysis
6.1. by Product Type & Market Share, 2019 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Product Type:

6.2.1. Starter Cultures
6.2.2. Protective Cultures
6.2.3. Probiotic Cultures

Chapter 7. Market Segmentation 3: by Strain Estimates & Trend Analysis
7.1. by Strain & Market Share, 2019 & 2031
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Strain:

7.2.1. Single-Strain Culture
7.2.2. Multi-Strain Culture
7.2.3. Multi-Strain Mixed Culture

Chapter 8. Market Segmentation 4: by End Use Estimates & Trend Analysis
8.1. by End Use & Market Share, 2019 & 2031
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following: by End Use:

8.2.1. Animal Feed Additives
8.2.2. Food and Beverage Manufacturers

8.2.2.1. Dairy Products

8.2.2.1.1. Cheese
8.2.2.1.2. Butter
8.2.2.1.3. Yogurt
8.2.2.1.4. Dairy-based Beverages

8.2.2.2. Baked Products

8.2.2.2.1. Bread
8.2.2.2.2. Pastries
8.2.2.2.3. Muffins
8.2.2.2.4. Pancakes

8.2.2.3. Breakfast Cereals
8.2.2.4. Beverages

8.2.2.4.1. Alcoholic
8.2.2.4.2. Non-alcoholic

Chapter 9. Microbial Food Ingredient Market Segmentation 5: Regional Estimates & Trend Analysis

9.1. North America
9.1.1. North America Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by Microorganism, 2024-2031
9.1.2. North America Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by Product Type, 2024-2031
9.1.3. North America Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by Strain, 2024-2031
9.1.4. North America Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by End Use y Product Type, 2024-2031
9.1.5. North America Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.2. Europe
9.2.1. Europe Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by Microorganism, 2024-2031
9.2.2. Europe Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by Product Type, 2024-2031
9.2.3. Europe Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by Strain, 2024-2031
9.2.4. Europe Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by End Use, 2024-2031
9.2.5. Europe Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.3. Asia Pacific
9.3.1. Asia Pacific Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by Microorganism, 2024-2031
9.3.2. Asia Pacific Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by Product Type, 2024-2031
9.3.3. Asia-Pacific Microbial Food Ingredient Asia-Pacific Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by Strain, 2024-2031
9.3.4. Asia-Pacific Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by End Use, 2024-2031
9.3.5. Asia Pacific Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.4. Latin America
9.4.1. Latin America Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by Microorganism, 2024-2031
9.4.2. Latin America Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by Product Type, 2024-2031
9.4.3. Latin America Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by Strain, 2024-2031
9.4.4. Latin America Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by End Use, 2024-2031
9.4.5. Latin America Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.5. Middle East & Africa
9.5.1. Middle East & Africa Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by Microorganism, 2024-2031
9.5.2. Middle East & Africa Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by Product Type, 2024-2031
9.5.3. Middle East & Africa Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by Strain, 2024-2031
9.5.4. Middle East & Africa Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by End Use, 2024-2031
9.5.5. Middle East & Africa Microbial Food Ingredient Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles

10.2.1. Angel Yeast Co. Ltd.
10.2.2. Chr. Hansen A/S,
10.2.3. Danisco A/S
10.2.4. Dohler Group
10.2.5. E&O Laboratories Ltd.
10.2.6. HiMedia Company
10.2.7. Koninklijke DSM N.V. (Csk Food Enrichment B.V.)
10.2.8. Lactina Ltd.
10.2.9. Wyeast Laboratories Inc.
10.2.10. Lb Bulgaricum Plc.
10.2.11. Lesaffre Group
10.2.12. Lallemand Inc.
10.2.13. Mediterranea Biotecnologie SRL
10.2.14. Dalton Biotecnologie
10.2.15. Kerry Group
10.2.16. NCIMB Ltd
10.2.17. Other Prominent Players

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

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Frequently Asked Questions

Microbial Food Ingredient Market Size is valued at USD 2.49 Bn in 2023 and is predicted to reach USD 4.97 Bn by the year 2031

Microbial Food Ingredient Market is expected to grow at an 9.2% CAGR during the forecast period for 2024-2031.

Hansen A/S, Dohler Group, E&O Laboratories Ltd., Angel Yeast Co. Ltd., HiMedia Company, Danisco A/S, Koninklijke DSM N.V. (Csk Food Enrichment B.V.),

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