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市場調查報告書

智慧塗料市場:2016年∼2025年

Smart Coatings Markets 2016-2025

出版商 n-tech Research, a NanoMarkets company 商品編碼 356976
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
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智慧塗料市場:2016年∼2025年 Smart Coatings Markets 2016-2025
出版日期: 2016年05月31日 內容資訊: 英文
簡介

本報告提供智慧塗料的技術、產品趨勢和各種用途的智慧塗料的需求趨勢與其預測,主要企業分析等,為您概述為以下內容。

摘要整理

第1章 簡介

第2章 智慧塗料:技術與產品趨勢

  • 自我修復塗料
  • 自我清洗、智慧耐蝕、智慧防污塗料
  • 智慧抗菌、抗真菌塗料
  • 自我風格光、變色塗料
  • 太陽能電池塗料
  • 壓電性、壓磁性塗料
  • 多功能塗料朝向的趨勢
  • 環境課題
  • 本章的要點

第3章 智慧塗料:調配、合成及塗料技術

  • 智慧塗料的調配及合成的現在趨勢
  • 塗料技術趨勢
  • 智慧塗料商務上奈米技術的作用增加
  • 印刷智慧墨水
  • 自我組裝及自我分層是削減製造成本的手法
  • 大量生產的新塗料技術
  • 本章的要點

第4章 航太產業上智慧塗料

  • 主要市場發展因素
  • 智慧窗戶塗料
  • 智慧耐蝕塗料
  • 機內室內裝飾智慧塗料
  • 主要飛機製造商智慧塗料
  • 智慧塗料利用的10年預測:各塗料類型
  • 本章的要點

第5章 海洋用途的智慧塗料

  • 智慧防污塗料
  • 其他潛在性用途
  • 智慧塗料利用的10年預測:各塗料類型
  • 本章的要點

第6章 汽車產業上智慧塗料

  • 主要市場發展因素
  • 智慧窗戶及鏡子的塗料
  • 自我修復玻璃的塗料
  • 包裝塗料
  • 包裝及引擎智慧防腐蝕塗料
  • 汽車及卡車的內部裝飾智慧塗料
  • 主要汽車及卡車製造商目前的智慧塗料計劃
  • 智慧塗料利用的10年預測:各塗料類型
  • 汽車售後市場的智慧塗料
  • 本章的要點

第7章 建設產業上的智慧塗料

  • 主要市場發展因素
  • 綠色大樓與LEED設計
  • 自我清洗塗料
  • 自我修復建築物塗料的市場與產品
  • 變色塗料:什麼類型的建築物需要?
  • 智慧抗菌塗料的外壁保護
  • BIPV的智慧塗料
  • 智慧塗料利用的10年預測:各塗料類型
  • 建材供應鏈的智慧塗料
  • 本章的要點

第8章 一般消費品市場上智慧塗料

  • 主要市場發展因素
  • 智慧塗料的價格和性能的權衡
  • 自我清洗及抗菌塗料
  • 智慧抗菌塗料
  • 自我修復塗料
  • 服飾及紡織品用途中特別的考慮點
  • 智慧玻璃塗料
  • 智慧塗料利用的10年預測:各塗料類型
  • 零售產品的智慧塗料
  • 本章的要點

第9章 醫療、醫療保健市場上智慧塗料

  • 主要市場發展因素
  • 智慧抗菌塗料的商務案例
  • 智慧抗菌塗料的材料平台
  • 自我清洗抗菌塗料
  • 藥物輸送的智慧塗料
  • 智慧塗料與生物適合性
  • 智慧塗料利用的10年預測:各塗料類型
  • 本章的要點

第10章 能源相關市場上智慧塗料

  • 主要市場發展因素
  • 太陽能光電發電
  • 燃料電池、電池和智慧塗料
  • 風力渦輪機、燃氣渦輪機智慧塗料
  • 油膜消除的智慧塗料
  • 智慧塗料利用的10年預測:各塗料類型
  • 本章的要點

第11章 其他軍事市場上智慧塗料

  • 智慧塗料的資金提供的軍事產業所扮演的角色
  • 軍事用途
  • 偽裝用的智慧塗料
  • 有害物質偵測的智慧塗料
  • 適合軍服的智慧塗料
  • 智慧塗料利用的10年預測:各塗料類型
  • 本章的要點

本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

目錄
Product Code: Nano-877

n-tech Research has published a compendium report on the smart coatings business since 2011. And while we have issued more focused studies on more specific coatings and applications this study provides a unique collection of market analysis and forecasting that provides companies a single source of comprehensive smart coatings data.

Our 2016 study will continue its evolution by focusing on where we see significant applications for coatings (vs surfaces and applied films) across targeting industry sectors. The forecasts will be even more granular than in past years.

We see smart coatings as a key opportunity for coatings companies looking to find new growth opportunities in current and new markets. This report will provide an invaluable resource to companies who supply base materials and additives, coatings and paints, manufacturers within the supply chain and the end users themselves.

  • Fully-focused on coatings: Electrochromic coatings, hydrophilic coatings, hydrophobic and omniphobic coatings, microencapsulation and vascular self-healing coatings, multifunctional coatings, other self-dimming and color shifting coatings, photovoltaic coatings, piezoelectric and piezo-magnetic, self-healing polymers polymer foams and hydrogels, smart anti-corrosion/anti-fouling, smart antimicrobial and antifungals
  • Industries covered: Aerospace, Automotive, Construction, Consumer Products, Energy, Marine, Medical & Healthcare. Military
  • Manufacturing emphasis: The report will give special emphasis to novel coating technologies (how the coating is put on the substrate) and formulation/synthesis (how the coating is actually made) approaches for coatings and especially how these can be scaled up to volume production.
  • High-level of granularity in forecasts in lengthy report: We anticipate that this report will be 250 pages plus, with heavy emphasis on detailed forecasts constructed from end user demand, industry and market specific factors.

Companies:

  • 3M
  • AK Coatings
  • AkzoNobel
  • AnCatt
  • Arkema
  • ATFI
  • Autonomic Materials
  • Axalta
  • BASF
  • Cardinal Glass
  • Clariant
  • Corning
  • Covestro
  • Devan
  • Dow Chemical
  • Dow Corning
  • Drywired
  • DSM Coatings
  • DSM Biomedical
  • DuPont
  • Evonik
  • Hempel
  • INI Worldwide (Industrial Nanotech)
  • IoLiTec
  • Kimberly-Clark
  • Life Material Technology
  • Lonza Industrial Solutions
  • Lubrizol
  • Microban
  • NanoTex
  • NEI Corporation
  • nGimat
  • Nolla
  • NSG/Pilkington
  • Parx Plastics
  • P2i
  • PPG
  • PPG Architectural Coatings
  • Reactive Surfaces
  • Saint-Gobain
  • Schoeller Tech
  • Sciessent
  • Sensor Coatings Systems
  • Sherwin-Williams
  • SLIPS Technologies
  • Specialty Coating Systems
  • Tesla Nanocoatings
  • Valspar
  • Vestagen
  • Yangfeng Interiors (formerly Johnson Controls)

Table of Contents

Executive Summary

  • E.1. Changes since n-tech's 2015 report on smart coatings
  • E.2. Emerging opportunities by type of smart coating
    • E.2.1. Self-healing coatings
    • E.2.3. Self-cleaning and anti-corrosion coatings
    • E.2.4. Self-dimming and color-shifting coatings
    • E.2.5. Smart antimicrobial and antifungal coatings
    • E.2.6. Photovoltaic coatings
    • E.2.7. Piezoelectric coatings
    • E.2.8. Aerogels
  • E.3. Manufacturing: Opportunities and challenges
    • E.3.1. Formulation and synthesis of smart coatings
    • E.3.2. Novel coatings technologies for smart coatings
  • E.4. Changes in the smart coatings supply chain
  • E.5. A note on military markets
  • E.6. Sources of funding for smart coatings startups
  • E.7. Forecasting methodology and summary of ten-year forecasts for smart coatings markets
    • E.7.1. Sources of data
    • E.7.2. Economic assumptions
    • E.7.3. Alternative Scenarios
    • E.7.4. Summary of ten-year forecasts of smart coatings market by end-user sector
    • E.7.5. Summary of ten-year forecast of smart coatings by end-user sector

Chapter One: Introduction

  • 1.1. Background to the report
  • 1.2. Objectives and scope of this report
  • 1.3. Methodology of this report
  • 1.4. Plan of this report

Chapter Two: Smart Coatings: Materials, Products and Technologies

  • 2.1. Self-healing coatings
    • 2.1.1. Reversible polymers
    • 2.1.2. Polymer foams
    • 2.1.3. Role of hydrogels and shape memory polymers
    • 2.1.4. Microencapsulated and vascular-embedded coatings
  • 2.2. Self-cleaning, smart anti-corrosion and smart anti-fouling coatings
  • 2.2.1. Hydrophilic coatings
    • 2.2.2. Hydrophobic, oleophobic and omniphobic coatings
    • 2.2.3. Novel catalysts for self-cleaning coatings
    • 2.2.4. Electrostatic coatings for self-cleaning
    • 2.2.5. Smart anti-corrosion and wear-resistant coatings
    • 2.2.5. Smart anti-fouling coatings
  • 2.3. Smart antimicrobials and antifungals
    • 2.3.1. Smart Silver as an antimicrobial
    • 2.3.2. Hydrogels as a smart antimicrobial coating
    • 2.3.4. Other materials as smart antimicrobial coatings
    • 2.3.5. Making smart antimicrobials smarter
  • 2.4. Self-dimming and color-shifting coatings
    • 2.4.1. Electrochromic coatings
    • 2.4.2. Other self-dimming coatings
    • 2.4.3. Color-shifting paints and inks
  • 2.5. Photovoltaic coatings
  • 2.6. Piezoelectric and piezomagnetic coatings
  • 2.7. The trend towards multifunctional coatings
  • 2.8. Environmental issues
  • 2.9. Key points from this chapter

Chapter Three: Smart Coatings: Formulations, Synthesis and Coating Technologies

  • 3.1. Current trends in formulation and synthesis of smart coatings
  • 3.2. Coating technology trends: Implications for smart coatings
  • 3.3. Growing role of nanotechnology in the smart coatings business
    • 3.3.1. Use of nano-patterning in smart coatings
    • 3.3.2. Smart nanocoatings
  • 3.4. Printed smart inks?
  • 3.5. Self-assembly and self-stratification as a way to reduce manufacturing costs
    • 3.5.1. Self-assembled monolayers
  • 3.6. Scaling up novel coating technologies to high volumes
  • 3.7. Key points from this chapter

Chapter Four: Markets for Smart Coatings in the Aerospace Industry

  • 4.1. Key drivers for smart coatings in the aerospace industry: Implications for smart coatings
    • 4.1.1. Increased military budgets
    • 4.1.2. Fuel prices and light-weighting: Balancing each other
    • 4.1.3. Competition in the airline industry
    • 4.1.4. Rise of the UAVs
  • 4.2. Smart windows coatings for the aerospace industry
  • 4.3. Smart-anticorrosion coatings for the aerospace industry
  • 4.4. Smart coatings for aircraft interiors
  • 4.5. Smart coatings from leading aircraft manufacturers
  • 4.6. Ten-year forecasts of smart coatings use by type of coatings
    • 4.6.1. Civil aviation
    • 4.6.2. Military aircraft and helicopters
    • 4.6.3. Space vehicles and UAVs
    • 4.6.4. Forecast by world region
    • 4.6.5. Summary of forecasts
  • 4.7. Key points from this chapter

Chapter Five: Markets for Smart Coatings in Marine Applications

  • 5.1. Smart anti-fouling coatings
    • 5.1.1. The downside of copper
    • 5.1.2. Smart coating alternatives to copper for anti-fouling applications
  • 5.2. Other potential applications for smart coatings in marine markets
    • 5.2.1. Interior surfaces
  • 5.3. Ten-year forecasts of smart coatings use by type of coatings
    • 5.3.1. Large ships
    • 5.3.2. Small craft
    • 5.3.3. Naval vessels
    • 5.3.4. Forecast by world region
    • 5.3.5. Summary of forecasts
  • 5.4. Key points from this chapter

Chapter Six: Markets for Smart Coatings in the Automotive Industry

  • 6.1. Key drivers for smart coatings in the automotive industry: Implications for smart coatings
    • 6.1.1. Fuel prices and light-weighting
    • 6.1.2. More glass
    • 6.1.3. Driverless cars
    • 6.1.4. Design competition in the automotive industry
  • 6.2. Coatings for smart windows and mirrors
    • 6.2.1. SPD
    • 6.2.2. Alternatives to SPD in the automotive space
    • 6.2.3. Electrochromic mirrors
  • 6.3. Coatings for self-healing auto glass
  • 6.4. Exterior paints and coatings
    • 6.4.1. From scratch-resistant coatings to self-healing body coatings
    • 6.4.2. From polish to self-cleaning coatings
  • 6.5. Smart anti-corrosion coatings for car exteriors and engines
    • 6.5.1. Car bodies and underseals
    • 6.5.2. Braking and suspension systems
    • 6.5.3. Smart coatings as lubricants
  • 6.6. Smart coatings for car and truck interiors
  • 6.7. Current smart coatings projects by leading car and truck makers
  • 6.8. Ten-year forecasts of smart coatings use by type of coatings
    • 6.8.1. Luxury vehicles
    • 6.8.2. Family vehicles
    • 6.8.3. Trucks, buses and military vehicles
    • 6.8.4. Forecast by world region
    • 6.8.5. Summary of forecasts
  • 6.9. Smart coatings in the automotive aftermarket
  • 6.10. Key points from this chapter

Chapter Seven: Markets for Smart Coatings in the Construction Industry

  • 7.1. Key drivers for smart coatings in the construction industry: Implications for smart coatings
    • 7.1.1. Green building and LEED design
    • 7.1.2. Energy efficiency
    • 7.1.3. Demographics
  • 7.2. Self-cleaning coatings for the construction industry
    • 7.2.1. The future of coatings for self-cleaning window glass
    • 7.2.2. Self-cleaning exterior building paints and coatings
    • 7.2.3. Potential for self-cleaning interior wall and floor coatings
  • 7.3. Markets and products for self-healing building coatings
    • 7.3.1. Interior
    • 7.3.2. Exterior
  • 7.4. Coatings for smart windows
    • 7.4.1. Electrochromic coatings
    • 7.4.2. Alternatives to electrochromic coatings for smart windows
  • 7.5. Color-shifting paints: What type of buildings need them?
  • 7.6. Protecting building surfaces with smart antimicrobials
  • 7.7. Smart coatings for BIPV
  • 7.8. Ten-year forecasts of smart coatings use by type of coatings
    • 7.8.1. Prestige buildings
    • 7.8.2. Commercial and industrial buildings
    • 7.8.3. Residential buildings
    • 7.8.4. Forecast by world region
    • 7.8.5. Summary of forecasts
  • 7.9. Smart coatings in the building materials supply chain
  • 7.10. Key points from this chapter

Chapter Eight: Smart Coatings in Consumer Product Markets

  • 8.1. Key drivers for smart coatings in the construction industry: Implications for smart coatings
    • 8.1.1. Trend towards smart devices and wearables
    • 8.1.2. Fashion and consumer product design trends
    • 8.1.2. Demographics
  • 8.2. Price/performance trade offs for smart coatings in the consumer sector
  • 8.3. Self-cleaning and antimicrobial coatings for consumer products
    • 8.3.1. Consumer electronics and appliances
    • 8.3.2. Furniture
    • 8.3.3. Consumer electronics
    • 8.3.4. Textiles, clothing and carpets
  • 8.4. Smart antimicrobials for consumer products
    • 8.4.1. Consumer electronics and appliances
    • 8.4.2. Furniture
    • 8.4.3. Textiles and clothing
    • 8.4.4. Textiles and clothing
  • 8.5. Self-healing coatings as an alternative to anti-scratch coatings in consumer products
    • 8.5.1. Consumer electronics and appliances
    • 8.5.2. Furniture and self-healing wood
  • 8.6. Special considerations for clothing and textiles
    • 8.6.1. Preserving color and smart color shifting coatings
    • 8.6.2. Breathability
  • 8.7. Smart consumer glass coatings
    • 8.7.1. Self-cleaning display screens
    • 8.7.2. Smart coatings for mirrors
  • 8.8. Ten-year forecasts of smart coatings use by type of coatings
    • 8.8.1. Furniture
    • 8.8.2. Commercial and industrial buildings
    • 8.8.3. Residential buildings
    • 8.8.4. Forecast by world region
    • 8.8.5. Summary of forecasts
  • 8.9. Smart coatings as a retail product
  • 8.10. Key points from this chapter

Chapter Nine: Markets for Smart Coatings in Medical and Healthcare Markets

  • 9.1. Drivers for smart coatings in medical/healthcare markets: Implications for smart coatings
    • 9.1.1. Strain-resistant microbes
    • 9.1.2. Hospital acquired infections
    • 9.1.3. Demographics: Aging populations
    • 9.1.4. Short hospital stays and bringing medicine closer to the patient
    • 9.1.5. New payment and insurance arrangements
  • 9.2. The business case for smart antimicrobials
  • 9.3. Materials platforms for smart antimicrobials
    • 9.3.1. Silver Nanoparticles
    • 9.3.2. Peptides
    • 9.3.3. Hydrogels for bioactive coatings
    • 9.3.4. Smart polymers and smart antimicrobials together at last
    • 9.3.5. Nanotechnology and antimicrobials
    • 9.3.6. Other selective antimicrobials and smart anti-inflammatories
  • 9.4. Self-cleaning antimicrobials
    • 9.4.1. Antimicrobials and super-hydrophobic materials
  • 9.5. Smart coatings for drug delivery
  • 9.6. Smart coatings and biocompatibility
  • 9.7. Ten-year forecasts of smart coatings use by type of coatings
    • 9.7.1. Implants
    • 9.7.2. Surgical instruments
    • 9.7.3. Surfaces in healthcare facilities
    • 9.7.4. Medical uniforms and medical monitoring clothing
    • 9.7.5. Forecast by world region
    • 9.7.6. Summary of forecasts
  • 9.8. Key points from this chapter

Chapter Ten: Markets for Smart Coatings in Energy-Related Markets

  • 10.1. Key drivers for smart coatings in energy-related markets: Implications for smart coatings
    • 10.1.1. Energy price trends and energy efficiency
    • 10.1.2. Shift to alternative energy sources
  • 10.2. Photovoltaics
    • 10.2.1. Photovoltaic coatings
    • 10.2.2. Self-cleaning coatings for solar panels
    • 10.2.3. Smarter anti-reflective coatings for solar panels
  • 10.3. Fuel cells, batteries and smart coatings
  • 10.4. Smart coatings for wind and gas turbines
  • 10.5. Smart coatings for oil slick removal
  • 10.6. Ten-year forecasts of smart coatings use by type of coatings
    • 10.6.1. Oil industry
    • 10.6.2. Traditional electricity generation
    • 10.6.3. Wind generation
    • 10.6.4. Photovoltaics
    • 10.6.5. Fuel cells and batteries
    • 10.6.6. Forecast by world region
    • 10.6.7. Summary of forecasts
  • 10.7. Key points from this chapter

Chapter Eleven: Other Military Markets for Smart Coatings

  • 11.1. The military's role in funding smart coatings
  • 11.2. Military applications covered in previous chapters
  • 11.3. Smart coatings for camouflage
  • 11.4. Smart coatings for the detection of toxic substances
  • 11.5. Smart coatings for military uniforms
  • 11.6. Ten-year forecasts of smart coatings use by type of coatings
    • 11.6.1. Camouflage
    • 11.6.2. Toxin detection
    • 11.6.3. Military uniforms
    • 11.6.4. Forecast by world region
    • 11.6.5. Summary of forecasts
  • 11.7. Key points from this chapter
  • Acronyms and abbreviations used in this report
  • About the author
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