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市場調查報告書
商品編碼
1651910

全球時尚網紅行銷市場規模研究，按類型（超級網紅、宏觀網紅、微網紅、奈米網紅）、按最終用途和區域預測 2022-2032

Global Fashion Influencer Marketing Market Size Study, by Type (Megainfluencer, Macroinfluencer, Microinfluencer, Nanoinfluencer), by End Use, and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 285 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

2023 年全球時尚影響力行銷市場價值約為 51 億美元，預計 2024 年至 2032 年期間將以 33.8% 的驚人年複合成長率(CAGR) 成長。這些影響者通常根據其粉絲數量和參與度進行分類，他們充當品牌大使，透過真實的故事敘述和與粉絲的聯繫來提高知名度和銷售量。

由於數位平台（尤其是社交媒體）的激增以及向個人化和體驗式行銷方式的轉變，該市場正在經歷爆炸式成長。 Z 世代和千禧世代消費者的崛起對於加速這一趨勢至關重要，他們更傾向於相信同行的推薦和有影響力的代言，而不是傳統廣告。此外，資料分析和人工智慧工具的進步使品牌能夠衡量活動效果、最佳化投資回報率並識別具有最大影響潛力的影響者。儘管該行業發展迅速，但仍面臨著網紅詐欺、內容過度飽和以及 Instagram 和 TikTok 等平台上演算法不斷發展等挑戰。然而，奈米影響者的出現以及包括直播購物和擴增實境體驗在內的創新內容形式的融入，正在為市場參與者創造有利可圖的機會。

北美繼續主導市場，這得益於其強大的電子商務生態系統、高社交媒體滲透率和成熟的時尚產業。歐洲緊隨其後，原因是該地區偏愛高階時尚，並將永續實踐融入影響力活動中。同時，受中產階級人口不斷成長、智慧型手機使用率不斷上升以及快時尚趨勢的影響，亞太地區預計將出現最快的成長。由於數位連結性的不斷擴大和生活方式產品支出的增加，拉丁美洲和中東及非洲也呈現出良好的成長軌跡。

市場的詳細細分和子細分如下：

目錄

第 1 章：全球時尚影響力行銷市場執行摘要

  • 全球時尚網紅行銷市場規模及預測（2022-2032 年）
  • 區域概況
  • 節段概要
    • {按類型}
      • 超級影響者
      • 宏觀影響者
      • 微影響者
      • 奈米影響者
    • {按最終用途}
  • 主要趨勢
  • 經濟衰退的影響
  • 分析師建議與結論

第2章：全球時尚影響力行銷市場定義與研究假設

  • 研究目標
  • 市場定義
  • 研究假設
    • 包容與排斥
    • 限制
    • 供給側分析
      • 可用性
      • 基礎設施
      • 監管環境
      • 市場競爭
      • 經濟可行性（消費者的觀點）
    • 需求面分析
      • 監理框架
      • 技術進步
      • 環境考慮
      • 消費者認知與接受度
  • 估算方法
  • 研究涵蓋的年份
  • 貨幣兌換率

第3章：全球時尚影響力行銷市場動態

  • 市場促進因素
    • 數位平台和社群媒體的普及度不斷上升
    • 追求真實性的 Z 世代和千禧世代消費者數量激增
    • 先進的數據分析和人工智慧工具可實現可衡量的投資回報率
  • 市場挑戰
    • 網紅詐欺和內容過飽和
    • 不斷發展的社群媒體演算法影響行銷活動的效果
  • 市場機會
    • 奈米影響者和利基定位的出現
    • 創新內容形式的整合（直播購物、AR 體驗）
    • 拓展新地區和新消費者群

第 4 章：全球時尚影響力行銷市場產業分析

  • 波特五力模型
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭對手
    • 波特五力模型的未來方法
    • 波特五力影響分析
  • PESTEL 分析
    • 政治的
    • 經濟
    • 社會的
    • 科技
    • 環境的
    • 合法的
  • 最佳投資機會
  • 最佳獲勝策略
  • 顛覆性趨勢
  • 產業專家觀點
  • 分析師建議與結論

第 5 章：全球時尚網紅行銷市場規模與預測：按類型 - 2022-2032 年

  • 細分儀表板
  • 全球時尚網紅行銷市場：{類型} 收入趨勢分析，2022 年和 2032 年（百萬美元/十億美元）
    • 超級影響者
    • 宏觀影響者
    • 微影響者
    • 奈米影響者

第 6 章：全球時尚網紅行銷市場規模與預測：按最終用途分類 - 2022-2032 年

  • 細分儀表板
  • 全球時尚網紅行銷市場：{最終用途} 收入趨勢分析，2022 年和 2032 年（百萬美元/十億美元）

第 7 章：全球時尚網紅行銷市場規模與預測：按地區分類 - 2022-2032 年

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 亞太其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 南非
    • 中東和非洲其他地區

第 8 章：競爭情報

  • 重點公司 SWOT 分析
    • AspireIQ
    • Upfluence
    • Traackr
  • 頂級市場策略
  • 公司簡介
    • AspireIQ
      • 關鍵訊息
      • 概述
      • 財務（取決於數據可用性）
      • 產品概述
      • 市場策略
    • Upfluence
    • Traackr
    • Hypetap
    • Influencity
    • Julius
    • Klear
    • GRIN
    • Fohr
    • Tagger Media
    • CreatorIQ
    • BuzzGuru
    • TapInfluence
    • Neoreach
    • IZEA

第9章：研究過程

  • 研究進程
    • 資料探勘
    • 分析
    • 市場預測
    • 驗證
    • 出版
  • 研究屬性
簡介目錄

The Global Fashion Influencer Marketing Market, valued at approximately USD 5.10 billion in 2023, is projected to grow at an exceptional compound annual growth rate (CAGR) of 33.8% from 2024 to 2032. Fashion influencer marketing represents a transformative strategy in the modern advertising landscape, where brands collaborate with social media influencers to amplify their reach and engage with highly targeted audiences. These influencers, often categorized by their follower count and engagement levels, serve as brand ambassadors, driving awareness and sales through their authentic storytelling and connection with followers.

This market is experiencing explosive growth due to the surging adoption of digital platforms, particularly social media, and the shift toward personalized and experiential marketing approaches. The rise of Gen Z and millennial consumers, who are more inclined to trust peer recommendations and influencer endorsements over traditional advertising, has been pivotal in accelerating this trend. Moreover, advancements in data analytics and AI-driven tools have enabled brands to measure campaign performance, optimize ROI, and identify influencers with maximum impact potential. Despite its rapid expansion, the industry grapples with challenges such as influencer fraud, content oversaturation, and evolving algorithms on platforms like Instagram and TikTok. However, the emergence of nanoinfluencers and the incorporation of innovative content formats, including live shopping and augmented reality experiences, are creating lucrative opportunities for market players.

North America continues to dominate the market, underpinned by its robust e-commerce ecosystem, high social media penetration, and established fashion industry. Europe follows closely, driven by the region's preference for premium fashion and the integration of sustainable practices into influencer campaigns. Meanwhile, the Asia-Pacific region is anticipated to witness the fastest growth, fueled by the burgeoning middle-class population, rising smartphone usage, and the influence of fast-fashion trends. Latin America and the Middle East & Africa are also showing promising growth trajectories, thanks to expanding digital connectivity and increased spending on lifestyle products.

Major market players included in this report are:

  • AspireIQ
  • Upfluence
  • Traackr
  • Hypetap
  • Influencity
  • Julius
  • Klear
  • GRIN
  • Fohr
  • Tagger Media
  • CreatorIQ
  • BuzzGuru
  • TapInfluence
  • Neoreach
  • IZEA

The detailed segments and sub-segments of the market are explained below:

By Type:

  • Megainfluencer
  • Macroinfluencer
  • Microinfluencer
  • Nanoinfluencer

By End Use:

  • (Details available in the full report)

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Rest of Asia Pacific
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • Rest of Middle East & Africa

Years considered for the study are as follows:

  • Historical Year: 2022
  • Base Year: 2023
  • Forecast Period: 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional-level analysis for each market segment.
  • Detailed analysis of the geographical landscape with country-level data for major regions.
  • Competitive landscape insights highlighting significant players in the market.
  • Evaluation of key business strategies and actionable recommendations for future approaches.
  • Analysis of the competitive structure of the market.
  • Demand-side and supply-side analysis of the market.

Table of Contents

Chapter 1. Global Fashion Influencer Marketing Market Executive Summary

  • 1.1. Global Fashion Influencer Marketing Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. {By Type}
      • Megainfluencer
      • Macroinfluencer
      • Microinfluencer
      • Nanoinfluencer
    • 1.3.2. {By End Use}
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Fashion Influencer Marketing Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory Frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Fashion Influencer Marketing Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Surging Adoption of Digital Platforms and Social Media
    • 3.1.2. Proliferation of Gen Z and Millennial Consumers Seeking Authenticity
    • 3.1.3. Advanced Data Analytics and AI Tools Enabling Measurable ROI
  • 3.2. Market Challenges
    • 3.2.1. Influencer Fraud and Content Oversaturation
    • 3.2.2. Evolving Social Media Algorithms Affecting Campaign Performance
  • 3.3. Market Opportunities
    • 3.3.1. Emergence of Nanoinfluencers and Niche Targeting
    • 3.3.2. Integration of Innovative Content Formats (Live Shopping, AR Experiences)
    • 3.3.3. Expansion into New Geographies and Consumer Segments

Chapter 4. Global Fashion Influencer Marketing Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top Investment Opportunity
  • 4.4. Top Winning Strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Fashion Influencer Marketing Market Size & Forecasts by Type 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Fashion Influencer Marketing Market: {Type} Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
    • 5.2.1. Megainfluencer
    • 5.2.2. Macroinfluencer
    • 5.2.3. Microinfluencer
    • 5.2.4. Nanoinfluencer

Chapter 6. Global Fashion Influencer Marketing Market Size & Forecasts by End Use 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Fashion Influencer Marketing Market: {End Use} Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)

Chapter 7. Global Fashion Influencer Marketing Market Size & Forecasts by Region 2022-2032

  • 7.1. North America Fashion Influencer Marketing Market
    • 7.1.1. U.S. Fashion Influencer Marketing Market
      • 7.1.1.1. {Type} Breakdown Size & Forecasts, 2022-2032
      • 7.1.1.2. {End Use} Breakdown Size & Forecasts, 2022-2032
    • 7.1.2. Canada Fashion Influencer Marketing Market
  • 7.2. Europe Fashion Influencer Marketing Market
    • 7.2.1. U.K. Fashion Influencer Marketing Market
    • 7.2.2. Germany Fashion Influencer Marketing Market
    • 7.2.3. France Fashion Influencer Marketing Market
    • 7.2.4. Spain Fashion Influencer Marketing Market
    • 7.2.5. Italy Fashion Influencer Marketing Market
    • 7.2.6. Rest of Europe Fashion Influencer Marketing Market
  • 7.3. Asia-Pacific Fashion Influencer Marketing Market
    • 7.3.1. China Fashion Influencer Marketing Market
    • 7.3.2. India Fashion Influencer Marketing Market
    • 7.3.3. Japan Fashion Influencer Marketing Market
    • 7.3.4. Australia Fashion Influencer Marketing Market
    • 7.3.5. South Korea Fashion Influencer Marketing Market
    • 7.3.6. Rest of Asia-Pacific Fashion Influencer Marketing Market
  • 7.4. Latin America Fashion Influencer Marketing Market
    • 7.4.1. Brazil Fashion Influencer Marketing Market
    • 7.4.2. Mexico Fashion Influencer Marketing Market
    • 7.4.3. Rest of Latin America Fashion Influencer Marketing Market
  • 7.5. Middle East & Africa Fashion Influencer Marketing Market
    • 7.5.1. Saudi Arabia Fashion Influencer Marketing Market
    • 7.5.2. South Africa Fashion Influencer Marketing Market
    • 7.5.3. Rest of Middle East & Africa Fashion Influencer Marketing Market

Chapter 8. Competitive Intelligence

  • 8.1. Key Company SWOT Analysis
    • 8.1.1. AspireIQ
    • 8.1.2. Upfluence
    • 8.1.3. Traackr
  • 8.2. Top Market Strategies
  • 8.3. Company Profiles
    • 8.3.1. AspireIQ
      • 8.3.1.1. Key Information
      • 8.3.1.2. Overview
      • 8.3.1.3. Financial (Subject to Data Availability)
      • 8.3.1.4. Product Summary
      • 8.3.1.5. Market Strategies
    • 8.3.2. Upfluence
    • 8.3.3. Traackr
    • 8.3.4. Hypetap
    • 8.3.5. Influencity
    • 8.3.6. Julius
    • 8.3.7. Klear
    • 8.3.8. GRIN
    • 8.3.9. Fohr
    • 8.3.10. Tagger Media
    • 8.3.11. CreatorIQ
    • 8.3.12. BuzzGuru
    • 8.3.13. TapInfluence
    • 8.3.14. Neoreach
    • 8.3.15. IZEA

Chapter 9. Research Process

  • 9.1. Research Process
    • 9.1.1. Data Mining
    • 9.1.2. Analysis
    • 9.1.3. Market Estimation
    • 9.1.4. Validation
    • 9.1.5. Publishing
  • 9.2. Research Attributes