The Global White Biotechnology Market 2025-2035

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

• 1.1. Biotechnology "colours"
• 1.2. Definition
• 1.3. Comparison with conventional processes
• 1.4. Markets and applications
• 1.5. Advantages
• 1.6. Sustainability
• 1.7. White Biotechnology for the Circular Economy
  • 1.7.1. Agricultural Waste
  • 1.7.2. Forestry and Paper Waste
  • 1.7.3. Gas Fermentation
  • 1.7.4. Plastics Upcycling
  • 1.7.5. Wastewater Valorization

2. TECHNOLOGY ANALYSIS

• 2.1. Production hosts
  • 2.1.1. Bacteria
  • 2.1.2. Yeast
  • 2.1.3. Fungi
  • 2.1.4. Marine
  • 2.1.5. Enzymes
  • 2.1.6. Photosynthetic organisms
• 2.2. Biomanufacturing processes
  • 2.2.1. Batch biomanufacturing
  • 2.2.2. Continuous biomanufacturing
  • 2.2.3. Cell factories for biomanufacturing
  • 2.2.4. Industry-Specific Microorganism Applications
    • 2.2.4.1. Escherichia coli (E. coli)
    • 2.2.4.2. Corynebacterium glutamicum (C. glutamicum)
    • 2.2.4.3. Bacillus subtilis (B. subtilis)
    • 2.2.4.4. Saccharomyces cerevisiae (S. cerevisiae)
    • 2.2.4.5. Yarrowia lipolytica (Y. lipolytica)
  • 2.2.5. Machine learning
  • 2.2.6. Downstream processing
  • 2.2.7. Perfusion bioreactors
  • 2.2.8. Tangential flow filtration (TFF)
  • 2.2.9. Hybrid biotechnological-chemical approaches
  • 2.2.10. Process intensification and high-cell-density fermentation
• 2.3. Synthetic Biology
  • 2.3.1. Technology Overview
  • 2.3.2. Synthetic biology applied to white biotechnology
  • 2.3.3. Metabolic engineering
    • 2.3.3.1. DNA synthesis
    • 2.3.3.2. CRISPR
      • 2.3.3.2.1. CRISPR/Cas9-modified biosynthetic pathways
  • 2.3.4. Protein/Enzyme Engineering
    • 2.3.4.1. Computer-aided Design
    • 2.3.4.2. Synthetic Biology and Metabolic Engineering (200 words)
    • 2.3.4.3. Industrial Microbial Strains
    • 2.3.4.4. Scaling
  • 2.3.5. Strain construction and optimization
  • 2.3.6. Smart bioprocessing
  • 2.3.7. Cell-free systems
  • 2.3.8. Chassis organisms
  • 2.3.9. Biomimetics
  • 2.3.10. Sustainable materials
  • 2.3.11. Robotics and automation
    • 2.3.11.1. Robotic cloud laboratories
    • 2.3.11.2. Automating organism design
    • 2.3.11.3. Artificial intelligence and machine learning
    • 2.3.11.4. Automating Organism Design
    • 2.3.11.5. De Novo Protein Prediction
    • 2.3.11.6. Companies
  • 2.3.12. Fermentation Processes
• 2.4. Generative Biology
  • 2.4.1. Generative Models
  • 2.4.2. Generative Adversarial Networks (GANs)
    • 2.4.2.1. Variational Autoencoders (VAEs)
    • 2.4.2.2. Normalizing Flows
    • 2.4.2.3. Autoregressive Models
    • 2.4.2.4. Evolutionary Generative Models
  • 2.4.3. Design Optimization
    • 2.4.3.1. Evolutionary Algorithms (e.g., Genetic Algorithms, Evolutionary Strategies)
      • 2.4.3.1.1. Genetic Algorithms (GAs)
      • 2.4.3.1.2. Evolutionary Strategies (ES)
    • 2.4.3.2. Reinforcement Learning
    • 2.4.3.3. Multi-Objective Optimization
    • 2.4.3.4. Bayesian Optimization
  • 2.4.4. Computational Biology
    • 2.4.4.1. Molecular Dynamics Simulations
    • 2.4.4.2. Quantum Mechanical Calculations
    • 2.4.4.3. Systems Biology Modeling
    • 2.4.4.4. Metabolic Engineering Modeling
  • 2.4.5. Data-Driven Approaches
    • 2.4.5.1. Machine Learning
    • 2.4.5.2. Graph Neural Networks
    • 2.4.5.3. Unsupervised Learning
    • 2.4.5.4. Active Learning and Bayesian Optimization
  • 2.4.6. Agent-Based Modeling
  • 2.4.7. Hybrid Approaches
• 2.5. Feedstocks
  • 2.5.1. C1. feedstocks
    • 2.5.1.1. Advantages
    • 2.5.1.2. Pathways
    • 2.5.1.3. Challenges
    • 2.5.1.4. Non-methane C1 feedstocks
    • 2.5.1.5. Gas fermentation
  • 2.5.2. C2 feedstocks
  • 2.5.3. Biological conversion of CO2
  • 2.5.4. Food processing wastes
  • 2.5.5. Lignocellulosic biomass
  • 2.5.6. Methane
  • 2.5.7. Municipal solid wastes
  • 2.5.8. Plastic wastes
  • 2.5.9. Plant oils
  • 2.5.10. Starch
  • 2.5.11. Sugars
  • 2.5.12. Used cooking oils
  • 2.5.13. Carbon capture
  • 2.5.14. Green hydrogen production
  • 2.5.15. Blue hydrogen production
• 2.6. Blue biotechnology (Marine biotechnology)
  • 2.6.1. Cyanobacteria
  • 2.6.2. Macroalgae
  • 2.6.3. Companies

3. MARKET ANALYSIS

• 3.1. Market trends
  • 3.1.1. Demand for biobased products
  • 3.1.2. Government regulation
  • 3.1.3. Costs
  • 3.1.4. Carbon taxes
• 3.2. Industry challenges and constraints
  • 3.2.1. Costs
    • 3.2.1.1. Oil prices
    • 3.2.1.2. Green Premium
    • 3.2.1.3. Cell Factory Cost
• 3.3. White biotechnology in the bioeconomy
• 3.4. SWOT analysis
• 3.5. Market map
• 3.6. Key market players and competitive landscape
• 3.7. Regulations
  • 3.7.1. United States
  • 3.7.2. European Union
  • 3.7.3. International
  • 3.7.4. Specific Regulations and Guidelines
• 3.8. Main end-use markets
  • 3.8.1. Biofuels
    • 3.8.1.1. Market supply chain
    • 3.8.1.2. Solid Biofuels
    • 3.8.1.3. Liquid Biofuels
    • 3.8.1.4. Gaseous Biofuels
    • 3.8.1.5. Conventional Biofuels
    • 3.8.1.6. Next-generation Biofuels
    • 3.8.1.7. Feedstocks
      • 3.8.1.7.1. First-generation (1-G)
      • 3.8.1.7.2. Second-generation (2-G)
        • 3.8.1.7.2.1. Lignocellulosic wastes and residues
        • 3.8.1.7.2.2. Biorefinery lignin
      • 3.8.1.7.3. Third-generation (3-G)
        • 3.8.1.7.3.1. Algal biofuels
          • 3.8.1.7.3.1.1. Properties
          • 3.8.1.7.3.1.2. Advantages
      • 3.8.1.7.4. Fourth-generation (4-G)
      • 3.8.1.7.5. Energy crops
      • 3.8.1.7.6. Agricultural residues
      • 3.8.1.7.7. Manure, sewage sludge and organic waste
      • 3.8.1.7.8. Forestry and wood waste
      • 3.8.1.7.9. Feedstock costs
    • 3.8.1.8. Bioethanol
      • 3.8.1.8.1. Ethanol to jet fuel technology
      • 3.8.1.8.2. Methanol from pulp & paper production
      • 3.8.1.8.3. Sulfite spent liquor fermentation
      • 3.8.1.8.4. Gasification
        • 3.8.1.8.4.1. Biomass gasification and syngas fermentation
        • 3.8.1.8.4.2. Biomass gasification and syngas thermochemical conversion
      • 3.8.1.8.5. CO2 capture and alcohol synthesis
      • 3.8.1.8.6. Biomass hydrolysis and fermentation
      • 3.8.1.8.7. Separate hydrolysis and fermentation
        • 3.8.1.8.7.1. Simultaneous saccharification and fermentation (SSF)
        • 3.8.1.8.7.2. Pre-hydrolysis and simultaneous saccharification and fermentation (PSSF)
        • 3.8.1.8.7.3. Simultaneous saccharification and co-fermentation (SSCF)
        • 3.8.1.8.7.4. Direct conversion (consolidated bioprocessing) (CBP)
    • 3.8.1.9. Biodiesel
    • 3.8.1.10. Biogas
      • 3.8.1.10.1. Biomethane
      • 3.8.1.10.2. Feedstocks
      • 3.8.1.10.3. Anaerobic digestion
    • 3.8.1.11. Renewable diesel
    • 3.8.1.12. Biojet fuel
    • 3.8.1.13. Algal biofuels (blue biotech)
      • 3.8.1.13.1. Conversion pathways
      • 3.8.1.13.2. Market challenges
      • 3.8.1.13.3. Prices
      • 3.8.1.13.4. Producers
    • 3.8.1.14. Biohydrogen
      • 3.8.1.14.1. Biological Conversion Routes
        • 3.8.1.14.1.1. Bio-photochemical Reaction
        • 3.8.1.14.1.2. Fermentation and Anaerobic Digestion
    • 3.8.1.15. Biobutanol
    • 3.8.1.16. Bio-based methanol
      • 3.8.1.16.1. Anaerobic digestion
      • 3.8.1.16.2. Biomass gasification
      • 3.8.1.16.3. Power to Methane
    • 3.8.1.17. Bioisoprene
    • 3.8.1.18. Fatty Acid Esters
  • 3.8.2. Bio-based chemicals
    • 3.8.2.1. Market supply chain
    • 3.8.2.2. Acetic acid
    • 3.8.2.3. Adipic acid
    • 3.8.2.4. Aldehydes
    • 3.8.2.5. Acrylic acid
    • 3.8.2.6. Bacterial cellulose
    • 3.8.2.7. 1,4-Butanediol (BDO)
    • 3.8.2.8. Bio-DME
    • 3.8.2.9. Dodecanedioic acid (DDDA)
    • 3.8.2.10. Ethylene
    • 3.8.2.11. 3-Hydroxypropionic acid (3-HP)
    • 3.8.2.12. 1,3-Propanediol (1,3-PDO)
    • 3.8.2.13. Itaconic acid
    • 3.8.2.14. Lactic acid (D-LA)
    • 3.8.2.15. 1,5-diaminopentane (DA5)
    • 3.8.2.16. Tetrahydrofuran (THF)
    • 3.8.2.17. Malonic acid
    • 3.8.2.18. Monoethylene glycol (MEG)
    • 3.8.2.19. Propylene
    • 3.8.2.20. Succinic acid (SA)
    • 3.8.2.21. Triglycerides
    • 3.8.2.22. Enzymes
    • 3.8.2.23. Vitamins
    • 3.8.2.24. Antibiotics
  • 3.8.3. Bioplastics and Biopolymers
    • 3.8.3.1. Bioplastics via white biotechnology
    • 3.8.3.2. Biobased polymers from monosaccharides
    • 3.8.3.3. Market supply chain
    • 3.8.3.4. Lactic Acid and Polylactic Acid (PLA)
      • 3.8.3.4.1. Lactic Acid (C3H6O3)
      • 3.8.3.4.2. Industrial production of lactic acid
      • 3.8.3.4.3. Engineering Yeast Strains for Lactic Acid Production
      • 3.8.3.4.4. Polylactic acid (PLA) production
    • 3.8.3.5. Succinic Acid
      • 3.8.3.5.1. Biobased succinic acid production
      • 3.8.3.5.2. PBS
    • 3.8.3.6. 2,5-furandicarboxylic acid (FDCA)
      • 3.8.3.6.1. Monomer Production
    • 3.8.3.7. Polyethylene Furanoate (PEF)
    • 3.8.3.8. C6 monomers
    • 3.8.3.9. Sebacic Acid
    • 3.8.3.10. Dodecanedioic Acid
    • 3.8.3.11. 1,5-Pentanediamine (PDA)
    • 3.8.3.12. 1,3-Butadiene
    • 3.8.3.13. Isoprene
    • 3.8.3.14. Isobutene (Isobutylene)
    • 3.8.3.15. PHAs
      • 3.8.3.15.1. Production of PHAs
      • 3.8.3.15.2. PHB, PHBV, and P(3HB-co-4HB)
      • 3.8.3.15.3. Commercial PHA landscape
      • 3.8.3.15.4. Short and medium chain-length PHAs
      • 3.8.3.15.5. Economic viability of PHA production
      • 3.8.3.15.6. Risks
      • 3.8.3.15.7. Production scale
      • 3.8.3.15.8. PHA production landscape
      • 3.8.3.15.9. Commercially available PHAs
    • 3.8.3.16. Bio-PET
    • 3.8.3.17. Starch blends
    • 3.8.3.18. Protein-based bioplastics
  • 3.8.4. Bioremediation
  • 3.8.5. Biocatalysis
    • 3.8.5.1. Biotransformations
    • 3.8.5.2. Cascade biocatalysis
    • 3.8.5.3. Co-factor recycling
    • 3.8.5.4. Immobilization
  • 3.8.6. Food and Nutraceutical Ingredients
    • 3.8.6.1. Market supply chain
    • 3.8.6.2. Alternative Proteins
    • 3.8.6.3. Natural Sweeteners
    • 3.8.6.4. Natural Flavors and Fragrances
    • 3.8.6.5. Texturants and Thickeners
    • 3.8.6.6. Nutraceuticals and Supplements
  • 3.8.7. Agricultural biotechnology
    • 3.8.7.1. Market supply chain
    • 3.8.7.2. Biofertilizers
      • 3.8.7.2.1. Overview
      • 3.8.7.2.2. Companies
    • 3.8.7.3. Biopesticides
      • 3.8.7.3.1. Overview
      • 3.8.7.3.2. Companies
    • 3.8.7.4. Biostimulants
      • 3.8.7.4.1. Overview
      • 3.8.7.4.2. Companies
    • 3.8.7.5. Crop Biotechnology
      • 3.8.7.5.1. Genetic engineering
      • 3.8.7.5.2. Genome editing
      • 3.8.7.5.3. Companies
  • 3.8.8. Textiles
    • 3.8.8.1. Market supply chain
    • 3.8.8.2. Bio-Based Fibers
      • 3.8.8.2.1. Lyocell
      • 3.8.8.2.2. Bacterial cellulose
      • 3.8.8.2.3. Algae textiles
    • 3.8.8.3. Spider silk
    • 3.8.8.4. Collagen-derived textiles
    • 3.8.8.5. Recombinant Materials
    • 3.8.8.6. Sustainable Processing
  • 3.8.9. Consumer goods
    • 3.8.9.1. Market supply chain
    • 3.8.9.2. White biotechnology in consumer goods
  • 3.8.10. Biopharmaceuticals
    • 3.8.10.1. Market supply chain
    • 3.8.10.2. Market overview for white biotechnology
  • 3.8.11. Cosmetics
    • 3.8.11.1. Market supply chain
    • 3.8.11.2. Market overview for white biotechnology
  • 3.8.12. Surfactants and detergents
    • 3.8.12.1. Market supply chain
    • 3.8.12.2. Market overview for white biotechnology
  • 3.8.13. Construction materials
    • 3.8.13.1. Market supply chain
    • 3.8.13.2. Biocement
    • 3.8.13.3. Mycelium materials
• 3.9. Global market revenues 2018-2035
  • 3.9.1. By molecule
  • 3.9.2. By market
  • 3.9.3. By region
• 3.10. Future Market Outlook

4. COMPANY PROFILES (396 company profiles)

5. APPENDIX

• 5.1. Research methodology
• 5.2. Acronyms
• 5.3. Glossary of Terms

6. REFERENCES

List of Tables

• Table 1. Biotechnology "colours"
• Table 2. Differences between white biotechnology and conventional processes
• Table 3. Application areas for white biotechnology
• Table 4. Advantages of white biotechnology
• Table 5. Routes for carbon capture in white biotechnology
• Table 6. Molecules produced through industrial biomanufacturing
• Table 7. Commonly used bacterial hosts for white biotechnology production
• Table 8. Commonly used yeast hosts for white biotech production
• Table 9. Examples of fungal hosts used in white biotechnology processes
• Table 10. Examples of marine organisms as hosts for white biotechnology applications
• Table 11. Common microbial hosts used for enzyme production in white biotechnology
• Table 12. Photosynthetic microorganisms used as production hosts in white biotechnology
• Table 13. Biomanufacturing processes utilized in white biotechnology
• Table 14. Continuous vs batch biomanufacturing
• Table 15. Key fermentation parameters in batch vs continuous biomanufacturing processes
• Table 16. Microorganisms in Biomanufacturing Processes
• Table 17. Pharmaceutical Industry
• Table 18. Biofuel Industry
• Table 19. Industrial Enzyme Production
• Table 20. Food and Beverage Industry
• Table 21. Non-Model Organisms for White Biotechnology
• Table 22. Machine Learning Applications in Biomanufacturing
• Table 23. Hybrid Biotechnological-Chemical Approaches
• Table 24. Core stages - Design, Build and Test
• Table 25. Synthetic Biology: Drivers and Barriers for Adoption
• Table 26. Products and applications enabled by synthetic biology
• Table 27. Engineered proteins in industrial applications
• Table 29. Cell-free versus cell-based systems
• Table 30. Technology Readiness Assessment
• Table 31. Machine Learning Based Improvements for Biomanufacturing
• Table 32. AI-driven Fermentation Platform Companies
• Table 33. White biotechnology fermentation processes
• Table 34. Alternative feedstocks for white biotechnology
• Table 35. Products from C1 feedstocks in white biotechnology
• Table 36. C2 Feedstock Products
• Table 37. CO2 derived products via biological conversion-applications, advantages and disadvantages
• Table 38. Production capacities of biorefinery lignin producers
• Table 39. Common starch sources that can be used as feedstocks for producing biochemicals
• Table 40. Routes for carbon capture in white biotechnology
• Table 41. Biomass processes summary, process description and TRL
• Table 42. Pathways for hydrogen production from biomass
• Table 43. Overview of alginate-description, properties, application and market size
• Table 44. Blue biotechnology companies
• Table 45. Market trends and drivers in white biotechnology
• Table 46. Industry challenges and restraints in white biotechnology
• Table 47. White biotechnology key application sectors and products
• Table 48. Comparison of biofuels
• Table 49. Categories and examples of solid biofuel
• Table 50. Comparison of biofuels and e-fuels to fossil and electricity
• Table 51. Classification of biomass feedstock
• Table 52. Biorefinery feedstocks
• Table 53. Feedstock conversion pathways
• Table 54. First-Generation Feedstocks
• Table 55. Lignocellulosic ethanol plants and capacities
• Table 56. Comparison of pulping and biorefinery lignins
• Table 57. Commercial and pre-commercial biorefinery lignin production facilities and processes
• Table 58. Operating and planned lignocellulosic biorefineries and industrial flue gas-to-ethanol
• Table 59. Properties of microalgae and macroalgae
• Table 60. Yield of algae and other biodiesel crops
• Table 61. Processes in bioethanol production
• Table 62. Microorganisms used in CBP for ethanol production from biomass lignocellulosic
• Table 63. Biodiesel by generation
• Table 64. Biodiesel production techniques
• Table 65. Biofuel production cost from the biomass pyrolysis process
• Table 66. Biogas feedstocks
• Table 67. Advantages and disadvantages of Bio-aviation fuel
• Table 68. Production pathways for Bio-aviation fuel
• Table 69. Current and announced Bio-aviation fuel facilities and capacities
• Table 70. Algae-derived biofuel producers
• Table 71. Markets and applications for biohydrogen
• Table 72. Comparison of different Bio-H2 production pathways
• Table 73. Properties of petrol and biobutanol
• Table 74. Comparison of biogas, biomethane and natural gas
• Table 75. Applications of bio-based caprolactam
• Table 76. Applications of bio-based acrylic acid
• Table 77. Applications of bio-based 1,4-Butanediol (BDO)
• Table 78. Applications of bio-based ethylene
• Table 79. Biobased feedstock sources for 3-HP
• Table 80. Applications of 3-HP
• Table 81. Applications of bio-based 1,3-Propanediol (1,3-PDO)
• Table 82. Biobased feedstock sources for itaconic acid
• Table 83. Applications of bio-based itaconic acid
• Table 84. Biobased feedstocks that can be used to produce 1,5-diaminopentane (DA5)
• Table 85. Applications of DN5
• Table 86. Applications of bio-based Tetrahydrofuran (THF)
• Table 87. Markets and applications for malonic acid
• Table 88. Biobased feedstock sources for MEG
• Table 89. Applications of bio-based MEG
• Table 90. Applications of bio-based propylene
• Table 91. Biobased feedstock sources for Succinic acid
• Table 92. Applications of succinic acid
• Table 94. Bioplastics and bioplastic precursors synthesized via white biotechnology processes
• Table 95. Optimal Lactic Acid Bacteria Strains for Fermentation
• Table 96. Polylactic acid (PLA) market analysis-manufacture, advantages, disadvantages and applications
• Table 97. PLA producers and production capacities
• Table 98. Molecules for Other Biobased Synthetic Polymers
• Table 99. Biosynthetic Pathways to Polyamides
• Table 100. Biosynthetic Pathways to PHAs
• Table 101. Key Commercial PHAs and Microstructures
• Table 102. Types of PHAs
• Table 103. Material Properties of Commercial PHAs
• Table 104. Property Comparison Across Applications
• Table 105. Applications of PHAs
• Table 106. Application-Specific Economic Analysis
• Table 107. Polyhydroxyalkanoate (PHA) extraction methods
• Table 108. Commercially available PHAs
• Table 109. Types of protein based-bioplastics, applications and companies
• Table 110. Applications of white biotechnology in bioremediation and environmental remediation
• Table 111. Companies developing fermentation-derived food
• Table 112. Biofertilizer companies
• Table 113. Biopesticides companies
• Table 114. Biostimulants companies
• Table 115. Crop biotechnology companies
• Table 116. White biotechnology applications in consumer goods
• Table 117. Pharmaceutical applications of white biotechnology
• Table 118. Applications of white biotechnology in the cosmetics industry
• Table 119. Sustainable biomanufacturing of surfactants and detergents
• Table 120. Global revenues for white biotechnology, by molecule, 2018-2035 (Billion USD)
• Table 121. Global revenues for white biotechnology, by market, 2018-2035 (Billion USD)
• Table 122. Global revenues for white biotechnology, by region, 2018-2035 (Billion USD)
• Table 123. White biotechnology Glossary of Acronyms
• Table 124. White biotechnology Glossary of Terms

List of Figures

• Figure 1. CRISPR/Cas9 & Targeted Genome Editing
• Figure 2. Genetic Circuit-Assisted Smart Microbial Engineering
• Figure 3. Cell-free and cell-based protein synthesis systems
• Figure 4. Microbial Chassis Development for Natural Product Biosynthesis
• Figure 5. The design-make-test-learn loop of generative biology
• Figure 6. LanzaTech gas-fermentation process
• Figure 7. Schematic of biological CO2 conversion into e-fuels
• Figure 8. Overview of biogas utilization
• Figure 9. Biogas and biomethane pathways
• Figure 10. Schematic overview of anaerobic digestion process for biomethane production
• Figure 11. BLOOM masterbatch from Algix
• Figure 12. SWOT analysis: white biotechnology
• Figure 13. Market map: white biotechnology
• Figure 14. Biofuels market supply chain
• Figure 15. Schematic of a biorefinery for production of carriers and chemicals
• Figure 16. Hydrolytic lignin powder
• Figure 17. Range of biomass cost by feedstock type
• Figure 18. Overview of biogas utilization
• Figure 19. Biogas and biomethane pathways
• Figure 20. Schematic overview of anaerobic digestion process for biomethane production
• Figure 21. Algal biomass conversion process for biofuel production
• Figure 22. Pathways for algal biomass conversion to biofuels
• Figure 23. Biobutanol production route
• Figure 24. Renewable Methanol Production Processes from Different Feedstocks
• Figure 25. Production of biomethane through anaerobic digestion and upgrading
• Figure 26. Production of biomethane through biomass gasification and methanation
• Figure 27. Production of biomethane through the Power to methane process
• Figure 28. Bio-based chemicals market supply chain
• Figure 29. Overview of Toray process
• Figure 30. Bacterial nanocellulose shapes
• Figure 31. Bioplastics and biopolymers market supply chain
• Figure 32. Food and Nutraceutical Ingredients market supply chain
• Figure 33. Agricultural biotechnology market supply chain
• Figure 34. Bio-textiles market supply chain
• Figure 35. AlgiKicks sneaker, made with the Algiknit biopolymer gel
• Figure 36. Biobased consumer goods market supply chain
• Figure 37. Biopharmaceuticals market supply chain
• Figure 38. Biobased cosmetics market supply chain
• Figure 39. Surfactants and detergents market supply chain
• Figure 40. Biobased construction materials market supply chain
• Figure 41. BioMason cement
• Figure 42. Microalgae based biocement masonry bloc
• Figure 43. Typical structure of mycelium-based foam
• Figure 44. Commercial mycelium composite construction materials
• Figure 45. Global revenues for white biotechnology, by market, 2018-2035 (Billion USD)
• Figure 46. Global revenues for white biotechnology, by region, 2018-2035 (Billion USD)
• Figure 47. Algiknit yarn
• Figure 48. ALGIECEL PhotoBioReactor
• Figure 49. Jelly-like seaweed-based nanocellulose hydrogel
• Figure 50. BIOLO e-commerce mailer bag made from PHA
• Figure 51. Domsjo process
• Figure 52. Mushroom leather
• Figure 53. PHA production process
• Figure 54. Light Bio Bioluminescent plants
• Figure 55. Lignin gel
• Figure 56. BioFlex process
• Figure 57. TransLeather
• Figure 58. Reishi
• Figure 59. Compostable water pod
• Figure 60. Precision Photosynthesis(TM) technology
• Figure 61. Enfinity cellulosic ethanol technology process
• Figure 62. Fabric consisting of 70 per cent wool and 30 per cent Qmilk
• Figure 63. Lyocell process
• Figure 64. Spider silk production
• Figure 65. Corbion FDCA production process
• Figure 66. UPM biorefinery process
• Figure 67. The Proesa-R Process
• Figure 68. XtalPi's automated and robot-run workstations