Summary

In this report n-tech Research provides a market forecast, analysis and outlook for Smart Coatings use in the automotive sector, a market that we expect to grow to $6.8 billion in 2030.

This item is drawn from the n-tech Research Global Smart Coatings Research Program. Within this service n-tech provides market sizing and forecasts of the opportunities for companies operating within the supply chain. The market projections rely upon installed base, shipments, pricing trends and applications within the various vertical markets where these coatings and solutions are deployed.

The Level 1 data presents volumes and values for functionally specific materials and how they are being utilized across various industry verticals. Level 2 data offers deeper breakouts of the materials by material, type, technique and or container. The report that is available to customers delves into the materials, manufacturing and market trends, opportunities and risks and supplier activities and outlook. Data is presented in Excel sheets.

The coverage of the program is global in nature and addresses major verticals where the materials are utilized. We break out the data according to material type, shipments, revenues, applications and more. Our reports are not produced via LLMs (ChatGPT etc.) and our analysis and forecasts rely upon our firm's 20+ years in analyzing and forecasting markets where advanced and highly functional materials are deployed.

Level 1 Data Coverage

Applications

• Anti-icing
• Ant-corrosion
• Anti-drag
• Self-healing
• SHM and smart skins
• Self-dimming (smart windows) - Electrochromic
• Self-dimming (smart windows) - SPD
• Color-shifting
• Self-cleaning

The data is broken out by:

• Addressable Market (Billions Sq. Meters)
• Market penetration by smart coatings (meters/billion square meters)
• Frequency of coating (months)
• Smart coating shipments (Million Sq. Meters)
• Smart coating markets ($ millions)
• Premium for coatings
• Smart coating by type (Million Sq. Meters) & ($ Million)
  • Nano coating
  • Bioactive coating
  • Smart Polymer coating
  • Composite coating
• Smart Coating by smart material (Million Sq. Meters) & ($ Million)
• Smart Coating by End User (Million Sq. Meters) & ($ Million)
• Smart Coating by Application area (Million Sq. Meters) & ($ Million)
• Smart Coatings Revenues by End User Geography ($ Millions)

Level 2 Data Coverage

Anti-Corrosion

Anti-corrosion Automotive Smart Coating by Types:

• Metallic
• Non-Metallic
• Organic
• Inorganic
• Hybrid

Anti-corrosion Automotive Smart Coating by Type:

• Epoxy
• Polyurethane,
• Acrylic
• Alkyd
• Zinc

Anti-corrosion Automotive Smart Coating by nanocomposite:

• Layered double hydroxide
• Hallosyte
• Nanotubes
• Mesoporous SiO2
• Graphene oxide
• Others

Anti-corrosion Automotive Smart Coating by Methods:

• Chemical conversion
• Plasma electrolytic oxidation
• Thermal/cold spraying
• Others

Self-Healing

Self-healing Automotive Smart Coating by type:

• Extrinsic self-healing coating
• Intrinsic self-healing coating

Self-healing Automotive Smart Coating by Container:

• Graphene oxide
• Silica
• Halloysite
• Titanium dioxide (TiO2)
• Nanotubes
• Others

Self-healing Automotive Smart Coating by Technique:

• Magnetron sputtering (MS)
• Sol-gel
• Dip/spin
• Chemical vapor deposition (CVD)
• Others

Self-cleaning

Self-cleaning Automotive Smart Coating by Type:

• Hydrophobic self-cleaning coating
• Hydrophilic self-cleaning coating
• Oleophobic self-cleaning coating
• Amphiphilic self-cleaning coating
• Photocatalyst self-cleaning coating

Self-cleaning Automotive Smart Coating by Technique:

• Sol-gel
• Dip/spin
• Chemical vapor deposition (CVD)
• Magnetron sputtering (MS)
• Others

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Table of Contents

• Summary of Findings and Forecasts
• Technology, Materials and Manufacturing Trends
• Sector Outlook, Usage and Demand Patters
• Supplier Activities and Implications
• Market Forecasts and Insights