世界各国のリアルタイムなデータ・インテリジェンスで皆様をお手伝い

スキンセンサ 2020-2030年:技術、市場、企業、予測:肌の潤い、シワ、小ジワ、毛穴、皮脂、弾性などのセンサ。スマート小売り、eコマース、ハイパーパーソナリゼーション、自己の数値化、実環境データ(RWD)などのコスメティクスとスキンケアにおける市場機会


Skin Sensors 2020-2030: Technologies, Markets, Players, Forecasts

このレポートはスキンセンサ市場と技術に注目し、スキンセンサを開発する16社の企業プロフィールを研究開発、小売りにおけるマーケティング、消費者の家庭向けのマーケティングの3つの用途ごとに掲載していま... もっと見る

 

 

出版社 出版年月 価格 ページ数 言語
IDTechEx
アイディーテックエックス
2020年5月28日 お問い合わせください
ライセンス・価格情報
注文方法はこちら
150 英語

※価格はデータリソースまでお問い合わせください。


 

サマリー

このレポートはスキンセンサ市場と技術に注目し、スキンセンサを開発する16社の企業プロフィールを研究開発、小売りにおけるマーケティング、消費者の家庭向けのマーケティングの3つの用途ごとに掲載しています。

Report Details

Skin sensors are routinely used in the cosmetics industry, playing essential roles in studies of safety and efficacy. However, despite the importance of and public focus on skin health and appearance, skin sensor technologies have rarely spilled over into wider use by the public. For example, though consumers moisturize their skin, and some even use anti-wrinkle cream, few people utilize moisture sensors to measure their skin hydration, nor do they measure changes in their wrinkles. With the shrinking of electronics and the advancement of smartphones and smartphone cameras, the availability of skin sensors is now spreading.
 
Digital disruption has reached the cosmetics industry, and companies are seeking ways to augment or even replace their retail counters with digital solutions. This process has been accelerated by the COVID-19 pandemic, which has already forced the closure of retailers, spas, etc. for several months. While online sales can bridge some of the gap, there is still a long way to go - traditionally, less than 10% of sales in the cosmetic industry come from online. To drive online sales, software services such as virtual try-on and skin analysis have been developed to provide similar education and product recommendation services of a brick and mortar store. Such technologies have been demonstrated to increase conversion rates and basket sizes.
 
 
Skin sensors for analysis of moisture, wrinkles, sebum, color, etc. can take many different forms such as cameras, probes, smart mirrors, films, facial imaging booths, smart phone accessories, and more.
 
In tandem with digitization comes the demand for personalization. Consumers are increasingly dissatisfied with existing skin analysis solutions and look to electronics, gadgets, and even genetic tests to provide quantifiable results using scientific measurements. Furthermore, an emerging trend is hyper-personalized skin care, which can range between bespoke bottles formulated for a specific person, daily customized skin care based on current skin condition and local weather, to 3D face masks that address specific problem areas on the face. Such products invariably rely on skin sensors to measure parameters such as skin moisture, wrinkles, sebum, elasticity, redness, dark spots, and more to provide the necessary data for personalization.
 
To stay ahead of the curve in the highly competitive cosmetics market, information and insights are required. Results gathered during clinical trials are difficult to replicate in the real world, and often lead to disappointed customers. Skin sensors play a crucial role here - both in helping the consumer quantify changes that are imperceptible to the naked eye, but also with the possibility of sending valuable data back into research and development for the next generation of products.
 
Technologies covered in this report
This report focuses on the skin parameters typically measured for the cosmetics industry and assesses the range of skin sensor technologies used to analyse them. Techniques range from gold standard techniques used in the laboratory to modifications used by companies to bring the technology to the consumer, to future skin sensors. IDTechEx has analyzed the technologies sued by over 36 players in the skin sensor market, focusing on the following parameters:
 
  • Skin hydration/moisture
  • Wrinkles, fine lines, pores
  • Sebum, including acne
  • Color, including dark spots, redness and overall skin tone
  • Skin elasticity/firmness
 
Technologies profiled in the report include:
 
  • Capacitance
  • 3D photography
  • UV light
  • Multispectral imaging
  • Genetic testing
 
While the report does not focus on medical applications, it does include a chapter on the emerging field of AI in skin cancer diagnosis.
 
Players, markets, and forecasts in this report
The report provides an overview of players in the skin sensors market and breaks down into target segments:
 
  • Research & development
  • Marketing in retail settings
  • Marketing in the consumer home
 
IDTechEx conducted primary research and profiled 16 companies developing skin sensors across the 3 applications. While R&D players stay comfortable in their niche with capability to deliver in retail settings, companies focusing on retail and consumer home settings are diversifying and creating innovative new technologies and business models.
 
With the changing landscape around the world, the market for skin sensors for the cosmetics industry is set to experience rapid growth in the next few years. This report presents a 10-year market forecast from 2020 to 2030 of the skin sensors in cosmetics market, with breakdown into R&D, marketing, and consumer applications.

 



ページTOPに戻る


目次

Table of Contents

1. EXECUTIVE SUMMARY
1.1. Report Scope
1.2. Megatrends Driving Skin Sensor Technologies
1.3. Skin Sensor Devices Take Many Formsa
1.4. Skin Parameters Analyzed
1.5. Technology Advancements and Trends
1.6. Deep learning (DL) makes automated image recognition possible
1.7. The Rise of Microbiome Research
1.8. Key Market Segments for Skin Sensor Technologies
1.9. Skin Sensors in Research & Development
1.10. Skin Sensors as a Marketing Tool
1.11. Skin Sensors for Consumers at Home
1.12. Marketing: Business Models
1.13. Beauty Tech at CES 2020
1.14. Market Forecast 2020 - 2030
1.15. Market Forecast: Marketing
2. INTRODUCTION
2.1. Report Scope
2.2. Skin Structure
2.3. Epidermis
2.4. Dermis
2.5. Skincare as Protection Against the Environment
2.6. Skincare in the Race Against Time
2.7. Upselling Through Personalization
2.8. Moving Sales Online
2.9. Megatrends Driving Skin Sensor Technologies
3. SKIN PARAMETERS AND MEASUREMENT TECHNIQUES
3.1.1. Chapter Overview
3.1.2. Skin Sensor Devices Take Many Forms
3.1.3. Image Requirements
3.1.4. Hydration/Moisture
3.1.5. Hydration: Capacitance
3.1.6. Hydration: Capacitance Examples
3.1.7. Hydration: Bioelectrical Impedance Analysis
3.1.8. Hydration: Players and Methods
3.1.9. Hydration: Discussion
3.1.10. Hydration: Examples of Optical Measurements
3.1.11. Wrinkles and Pores
3.1.12. Wrinkles and Pores: Parallel Polarized Light
3.1.13. Wrinkles and Pores: 3D Photography
3.1.14. Wrinkles and Pores: Image Analysis
3.1.15. Wrinkles and Pores: Players and Methods
3.1.16. Wrinkles and Pores: Discussion
3.1.17. Sebum
3.1.18. Sebum: Sebutape
3.1.19. Sebum: Examples of Film-Based Devices
3.1.20. Sebum: UV
3.1.21. Sebum: Other Optical Means
3.1.22. Sebum: Players and Methods
3.1.23. Color
3.1.24. Color: Multispectral Imaging
3.1.25. Color: White Light
3.1.26. Color: Canfield Scientific RBX Technology
3.1.27. Color: UV
3.1.28. Color: Example of Hyperspectral Imaging
3.1.29. Melanin: Players and Methods
3.1.30. Hemoglobin: Players and Methods
3.1.31. Color: Skin Tone
3.1.32. Elasticity/Firmness
3.1.33. Elasticity: Contact-Based Methods
3.1.34. Elasticity: Image-Based Method
3.1.35. Elasticity: Players and Methods
3.1.36. Other Common Parameters
3.2. Emerging Parameters in Skin Sensors
3.2.1. Genetic Testing
3.2.2. Genetic Testing: Categories
3.2.3. Genetic Testing: Players
3.2.4. Microbiome
3.2.5. The Rise of Microbiome Research
3.2.6. Skin Sensor Technologies: Summary and Outlook
3.3. Artificial Intelligence
3.3.1. What is artificial intelligence (AI)? Terminologies explained
3.3.2. Algorithm training process in a single layer
3.3.3. Towards deep learning by deepening the neutral network
3.3.4. Deep learning (DL) makes automated image recognition possible
3.3.5. Image recognition AI is based on convolutional neural networks (CNNs)
3.3.6. AI - Disrupting Skin Cancer Detection
3.3.7. Skin cancer
3.3.8. Skin cancer: Key players
3.3.9. Skin cancer: Machine learning algorithms
3.3.10. Skin cancer: The ABCDE criteria
3.3.11. Skin cancer: Dermoscopic melanoma recognition (2018)
3.3.12. Skin cancer: Dermoscopic melanoma recognition and its challenges
3.3.13. Skin cancer: SkinVision
3.3.14. Skin cancer: MetaOptima
3.3.15. Skin cancer detection AI: Performance comparison
3.4. Skin Sensors for Advanced Wound Care
3.4.1. Trends in Wound Monitoring
3.4.2. Bacterial Detection: Point-of-Care Visualization
3.4.3. Bacterial Detection: Rapid Diagnostics
3.4.4. Hyperspectral Technology: HyperMed
3.4.5. Near-Infrared: Kent Imaging
3.4.6. Thermography: WoundVision
3.4.7. Bioimpedance: Bruin Biometrics
3.4.8. 3D Imaging: Infrared from Tablets
3.4.9. 3D Imaging: Imaging in Stereo
3.4.10. 3D Imaging: Point Tracking
3.4.11. 3D Imaging: Laser Lines
3.4.12. Smartphone Apps
3.4.13. Smartphone Apps: Swift Medical
3.4.14. Trends in Wound Monitoring
3.4.15. Relationship with Cosmetics Industry
4. MARKET ANALYSIS AND COMPANY PROFILES
4.1. Key Market Segments
4.2. Players and Market Segments
4.3. Skin Sensors in Research & Development
4.4. Research & Development: Key Players
4.5. Courage + Khazaka Electronic
4.6. Cortex Technology
4.7. Miravex
4.8. Miravex: Antera 3D
4.9. Research & Development: Business Models
4.10. Skin Sensors as a Marketing Tool
4.11. Marketing - High end players
4.12. Facial Imaging
4.13. PIE
4.14. Skin Sensors for Consumers at Home
4.15. Improvements in Cameras and Phones Critical for Success
4.16. Skin Sensors Drives Ecommerce
4.17. FitSkin
4.18. Skin Sensors Benefit All
4.19. Cutitronics
4.20. Haut.AI
4.21. Sequential Skin
4.22. Marketing: Business Models
4.23. Skin Sensor Technologies and the Subscription Model
4.24. How Have Brands Responded?
4.25. CES 2020
4.26. Beauty Tech at CES 2020
4.27. HiMirror
4.28. HiMirror: HiMirror Slide
4.29. lululab
4.30. lululab: Lumini Home
4.31. Revieve
4.32. Revieve: Partnership with CareOS
4.33. Perfect Corp
4.34. Procter and Gamble: Opté
4.35. L'Oréal: Perso
5. MARKET FORECASTS
5.1. Methodology
5.2. Market Forecast 2020 - 2030
5.3. Market Forecast: Research & Development
5.4. Market Forecast: Marketing
5.5. Market Forecast: Consumers



 

 

ページTOPに戻る


 

Summary

このレポートはスキンセンサ市場と技術に注目し、スキンセンサを開発する16社の企業プロフィールを研究開発、小売りにおけるマーケティング、消費者の家庭向けのマーケティングの3つの用途ごとに掲載しています。

Report Details

Skin sensors are routinely used in the cosmetics industry, playing essential roles in studies of safety and efficacy. However, despite the importance of and public focus on skin health and appearance, skin sensor technologies have rarely spilled over into wider use by the public. For example, though consumers moisturize their skin, and some even use anti-wrinkle cream, few people utilize moisture sensors to measure their skin hydration, nor do they measure changes in their wrinkles. With the shrinking of electronics and the advancement of smartphones and smartphone cameras, the availability of skin sensors is now spreading.
 
Digital disruption has reached the cosmetics industry, and companies are seeking ways to augment or even replace their retail counters with digital solutions. This process has been accelerated by the COVID-19 pandemic, which has already forced the closure of retailers, spas, etc. for several months. While online sales can bridge some of the gap, there is still a long way to go - traditionally, less than 10% of sales in the cosmetic industry come from online. To drive online sales, software services such as virtual try-on and skin analysis have been developed to provide similar education and product recommendation services of a brick and mortar store. Such technologies have been demonstrated to increase conversion rates and basket sizes.
 
 
Skin sensors for analysis of moisture, wrinkles, sebum, color, etc. can take many different forms such as cameras, probes, smart mirrors, films, facial imaging booths, smart phone accessories, and more.
 
In tandem with digitization comes the demand for personalization. Consumers are increasingly dissatisfied with existing skin analysis solutions and look to electronics, gadgets, and even genetic tests to provide quantifiable results using scientific measurements. Furthermore, an emerging trend is hyper-personalized skin care, which can range between bespoke bottles formulated for a specific person, daily customized skin care based on current skin condition and local weather, to 3D face masks that address specific problem areas on the face. Such products invariably rely on skin sensors to measure parameters such as skin moisture, wrinkles, sebum, elasticity, redness, dark spots, and more to provide the necessary data for personalization.
 
To stay ahead of the curve in the highly competitive cosmetics market, information and insights are required. Results gathered during clinical trials are difficult to replicate in the real world, and often lead to disappointed customers. Skin sensors play a crucial role here - both in helping the consumer quantify changes that are imperceptible to the naked eye, but also with the possibility of sending valuable data back into research and development for the next generation of products.
 
Technologies covered in this report
This report focuses on the skin parameters typically measured for the cosmetics industry and assesses the range of skin sensor technologies used to analyse them. Techniques range from gold standard techniques used in the laboratory to modifications used by companies to bring the technology to the consumer, to future skin sensors. IDTechEx has analyzed the technologies sued by over 36 players in the skin sensor market, focusing on the following parameters:
 
  • Skin hydration/moisture
  • Wrinkles, fine lines, pores
  • Sebum, including acne
  • Color, including dark spots, redness and overall skin tone
  • Skin elasticity/firmness
 
Technologies profiled in the report include:
 
  • Capacitance
  • 3D photography
  • UV light
  • Multispectral imaging
  • Genetic testing
 
While the report does not focus on medical applications, it does include a chapter on the emerging field of AI in skin cancer diagnosis.
 
Players, markets, and forecasts in this report
The report provides an overview of players in the skin sensors market and breaks down into target segments:
 
  • Research & development
  • Marketing in retail settings
  • Marketing in the consumer home
 
IDTechEx conducted primary research and profiled 16 companies developing skin sensors across the 3 applications. While R&D players stay comfortable in their niche with capability to deliver in retail settings, companies focusing on retail and consumer home settings are diversifying and creating innovative new technologies and business models.
 
With the changing landscape around the world, the market for skin sensors for the cosmetics industry is set to experience rapid growth in the next few years. This report presents a 10-year market forecast from 2020 to 2030 of the skin sensors in cosmetics market, with breakdown into R&D, marketing, and consumer applications.

 



ページTOPに戻る


Table of Contents

Table of Contents

1. EXECUTIVE SUMMARY
1.1. Report Scope
1.2. Megatrends Driving Skin Sensor Technologies
1.3. Skin Sensor Devices Take Many Formsa
1.4. Skin Parameters Analyzed
1.5. Technology Advancements and Trends
1.6. Deep learning (DL) makes automated image recognition possible
1.7. The Rise of Microbiome Research
1.8. Key Market Segments for Skin Sensor Technologies
1.9. Skin Sensors in Research & Development
1.10. Skin Sensors as a Marketing Tool
1.11. Skin Sensors for Consumers at Home
1.12. Marketing: Business Models
1.13. Beauty Tech at CES 2020
1.14. Market Forecast 2020 - 2030
1.15. Market Forecast: Marketing
2. INTRODUCTION
2.1. Report Scope
2.2. Skin Structure
2.3. Epidermis
2.4. Dermis
2.5. Skincare as Protection Against the Environment
2.6. Skincare in the Race Against Time
2.7. Upselling Through Personalization
2.8. Moving Sales Online
2.9. Megatrends Driving Skin Sensor Technologies
3. SKIN PARAMETERS AND MEASUREMENT TECHNIQUES
3.1.1. Chapter Overview
3.1.2. Skin Sensor Devices Take Many Forms
3.1.3. Image Requirements
3.1.4. Hydration/Moisture
3.1.5. Hydration: Capacitance
3.1.6. Hydration: Capacitance Examples
3.1.7. Hydration: Bioelectrical Impedance Analysis
3.1.8. Hydration: Players and Methods
3.1.9. Hydration: Discussion
3.1.10. Hydration: Examples of Optical Measurements
3.1.11. Wrinkles and Pores
3.1.12. Wrinkles and Pores: Parallel Polarized Light
3.1.13. Wrinkles and Pores: 3D Photography
3.1.14. Wrinkles and Pores: Image Analysis
3.1.15. Wrinkles and Pores: Players and Methods
3.1.16. Wrinkles and Pores: Discussion
3.1.17. Sebum
3.1.18. Sebum: Sebutape
3.1.19. Sebum: Examples of Film-Based Devices
3.1.20. Sebum: UV
3.1.21. Sebum: Other Optical Means
3.1.22. Sebum: Players and Methods
3.1.23. Color
3.1.24. Color: Multispectral Imaging
3.1.25. Color: White Light
3.1.26. Color: Canfield Scientific RBX Technology
3.1.27. Color: UV
3.1.28. Color: Example of Hyperspectral Imaging
3.1.29. Melanin: Players and Methods
3.1.30. Hemoglobin: Players and Methods
3.1.31. Color: Skin Tone
3.1.32. Elasticity/Firmness
3.1.33. Elasticity: Contact-Based Methods
3.1.34. Elasticity: Image-Based Method
3.1.35. Elasticity: Players and Methods
3.1.36. Other Common Parameters
3.2. Emerging Parameters in Skin Sensors
3.2.1. Genetic Testing
3.2.2. Genetic Testing: Categories
3.2.3. Genetic Testing: Players
3.2.4. Microbiome
3.2.5. The Rise of Microbiome Research
3.2.6. Skin Sensor Technologies: Summary and Outlook
3.3. Artificial Intelligence
3.3.1. What is artificial intelligence (AI)? Terminologies explained
3.3.2. Algorithm training process in a single layer
3.3.3. Towards deep learning by deepening the neutral network
3.3.4. Deep learning (DL) makes automated image recognition possible
3.3.5. Image recognition AI is based on convolutional neural networks (CNNs)
3.3.6. AI - Disrupting Skin Cancer Detection
3.3.7. Skin cancer
3.3.8. Skin cancer: Key players
3.3.9. Skin cancer: Machine learning algorithms
3.3.10. Skin cancer: The ABCDE criteria
3.3.11. Skin cancer: Dermoscopic melanoma recognition (2018)
3.3.12. Skin cancer: Dermoscopic melanoma recognition and its challenges
3.3.13. Skin cancer: SkinVision
3.3.14. Skin cancer: MetaOptima
3.3.15. Skin cancer detection AI: Performance comparison
3.4. Skin Sensors for Advanced Wound Care
3.4.1. Trends in Wound Monitoring
3.4.2. Bacterial Detection: Point-of-Care Visualization
3.4.3. Bacterial Detection: Rapid Diagnostics
3.4.4. Hyperspectral Technology: HyperMed
3.4.5. Near-Infrared: Kent Imaging
3.4.6. Thermography: WoundVision
3.4.7. Bioimpedance: Bruin Biometrics
3.4.8. 3D Imaging: Infrared from Tablets
3.4.9. 3D Imaging: Imaging in Stereo
3.4.10. 3D Imaging: Point Tracking
3.4.11. 3D Imaging: Laser Lines
3.4.12. Smartphone Apps
3.4.13. Smartphone Apps: Swift Medical
3.4.14. Trends in Wound Monitoring
3.4.15. Relationship with Cosmetics Industry
4. MARKET ANALYSIS AND COMPANY PROFILES
4.1. Key Market Segments
4.2. Players and Market Segments
4.3. Skin Sensors in Research & Development
4.4. Research & Development: Key Players
4.5. Courage + Khazaka Electronic
4.6. Cortex Technology
4.7. Miravex
4.8. Miravex: Antera 3D
4.9. Research & Development: Business Models
4.10. Skin Sensors as a Marketing Tool
4.11. Marketing - High end players
4.12. Facial Imaging
4.13. PIE
4.14. Skin Sensors for Consumers at Home
4.15. Improvements in Cameras and Phones Critical for Success
4.16. Skin Sensors Drives Ecommerce
4.17. FitSkin
4.18. Skin Sensors Benefit All
4.19. Cutitronics
4.20. Haut.AI
4.21. Sequential Skin
4.22. Marketing: Business Models
4.23. Skin Sensor Technologies and the Subscription Model
4.24. How Have Brands Responded?
4.25. CES 2020
4.26. Beauty Tech at CES 2020
4.27. HiMirror
4.28. HiMirror: HiMirror Slide
4.29. lululab
4.30. lululab: Lumini Home
4.31. Revieve
4.32. Revieve: Partnership with CareOS
4.33. Perfect Corp
4.34. Procter and Gamble: Opté
4.35. L'Oréal: Perso
5. MARKET FORECASTS
5.1. Methodology
5.2. Market Forecast 2020 - 2030
5.3. Market Forecast: Research & Development
5.4. Market Forecast: Marketing
5.5. Market Forecast: Consumers



 

 

ページTOPに戻る

ご注文は、お電話またはWEBから承ります。お見積もりの作成もお気軽にご相談ください。

webからのご注文・お問合せはこちらのフォームから承ります

本レポートと同じKEY WORD()の最新刊レポート

  • 本レポートと同じKEY WORDの最新刊レポートはありません。

よくあるご質問


IDTechEx社はどのような調査会社ですか?


IDTechExはセンサ技術や3D印刷、電気自動車などの先端技術・材料市場を対象に広範かつ詳細な調査を行っています。データリソースはIDTechExの調査レポートおよび委託調査(個別調査)を取り扱う日... もっと見る


調査レポートの納品までの日数はどの程度ですか?


在庫のあるものは速納となりますが、平均的には 3-4日と見て下さい。
但し、一部の調査レポートでは、発注を受けた段階で内容更新をして納品をする場合もあります。
発注をする前のお問合せをお願いします。


注文の手続きはどのようになっていますか?


1)お客様からの御問い合わせをいただきます。
2)見積書やサンプルの提示をいたします。
3)お客様指定、もしくは弊社の発注書をメール添付にて発送してください。
4)データリソース社からレポート発行元の調査会社へ納品手配します。
5) 調査会社からお客様へ納品されます。最近は、pdfにてのメール納品が大半です。


お支払方法の方法はどのようになっていますか?


納品と同時にデータリソース社よりお客様へ請求書(必要に応じて納品書も)を発送いたします。
お客様よりデータリソース社へ(通常は円払い)の御振り込みをお願いします。
請求書は、納品日の日付で発行しますので、翌月最終営業日までの当社指定口座への振込みをお願いします。振込み手数料は御社負担にてお願いします。
お客様の御支払い条件が60日以上の場合は御相談ください。
尚、初めてのお取引先や個人の場合、前払いをお願いすることもあります。ご了承のほど、お願いします。


データリソース社はどのような会社ですか?


当社は、世界各国の主要調査会社・レポート出版社と提携し、世界各国の市場調査レポートや技術動向レポートなどを日本国内の企業・公官庁及び教育研究機関に提供しております。
世界各国の「市場・技術・法規制などの」実情を調査・収集される時には、データリソース社にご相談ください。
お客様の御要望にあったデータや情報を抽出する為のレポート紹介や調査のアドバイスも致します。



詳細検索

このレポートへのお問合せ

03-3582-2531

電話お問合せもお気軽に

 

2024/12/20 10:28

158.95 円

165.20 円

201.28 円

ページTOPに戻る