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封面
市场调查报告书
商品编码
1651910

全球时尚网红行销市场规模研究，按类型（超级网红、宏观网红、微网红、奈米网红）、按最终用途和区域预测 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个工作天内

价格
简介目录

2023 年全球时尚影响力行销市场价值约为 51 亿美元，预计 2024 年至 2032 年期间将以 33.8% 的惊人年复合成长率(CAGR) 增长。这些影响者通常根据其粉丝数量和参与度进行分类，他们充当品牌大使，透过真实的故事叙述和与粉丝的联繫来提高知名度和销售量。

由于数位平台（尤其是社交媒体）的激增以及向个人化和体验式行销方式的转变，该市场正在经历爆炸式增长。 Z 世代和千禧世代消费者的崛起对于加速这一趋势至关重要，他们更倾向于相信同行的推荐和有影响力的代言，而不是传统广告。此外，资料分析和人工智慧工具的进步使品牌能够衡量活动效果、优化投资回报率并识别具有最大影响潜力的影响者。儘管该行业发展迅速，但仍面临着网红诈欺、内容过度饱和以及 Instagram 和 TikTok 等平台上演算法不断发展等挑战。然而，奈米影响者的出现以及包括直播购物和增强现实体验在内的创新内容形式的融入，正在为市场参与者创造有利可图的机会。

北美继续主导市场，这得益于其强大的电子商务生态系统、高社交媒体渗透率和成熟的时尚产业。欧洲紧随其后，原因是该地区偏爱高端时尚，并将永续实践融入影响力活动中。同时，受中产阶级人口不断增长、智慧型手机使用率不断上升以及快时尚趋势的影响，亚太地区预计将出现最快的增长。由于数位连结性的不断扩大和生活方式产品支出的增加，拉丁美洲和中东及非洲也呈现出良好的成长轨迹。

市场的详细细分和子细分如下：

目录

第 1 章：全球时尚影响力行销市场执行摘要

  • 全球时尚网红行销市场规模及预测（2022-2032 年）
  • 区域概况
  • 节段概要
    • {按类型}
      • 超级影响者
      • 宏观影响者
      • 微影响者
      • 奈米影响者
    • {按最终用途}
  • 主要趋势
  • 经济衰退的影响
  • 分析师建议与结论

第二章：全球时尚影响力行销市场定义与研究假设

  • 研究目标
  • 市场定义
  • 研究假设
    • 包容与排斥
    • 限制
    • 供给侧分析
      • 可用性
      • 基础设施
      • 监管环境
      • 市场竞争
      • 经济可行性（消费者的观点）
    • 需求面分析
      • 监理框架
      • 技术进步
      • 环境考虑
      • 消费者认知与接受度
  • 估算方法
  • 研究考虑的年份
  • 货币兑换率

第三章：全球时尚影响力行销市场动态

  • 市场驱动因素
    • 数位平台和社群媒体的普及度不断上升
    • 追求真实性的 Z 世代和千禧世代消费者数量激增
    • 先进的数据分析和人工智慧工具可实现可衡量的投资回报率
  • 市场挑战
    • 网红诈欺和内容过饱和
    • 不断发展的社群媒体演算法影响行销活动的效果
  • 市场机会
    • 奈米影响者和利基定位的出现
    • 创新内容形式的整合（直播购物、AR 体验）
    • 拓展新地区和新消费者群

第 4 章：全球时尚影响力行销市场产业分析

  • 波特五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争对手
    • 波特五力模型的未来方法
    • 波特五力影响分析
  • PESTEL 分析
    • 政治的
    • 经济
    • 社会的
    • 科技
    • 环境的
    • 合法的
  • 最佳投资机会
  • 最佳获胜策略
  • 颠覆性趋势
  • 产业专家观点
  • 分析师建议与结论

第 5 章：全球时尚网红行销市场规模与预测：按类型 - 2022-2032 年

  • 细分仪表板
  • 全球时尚网红行销市场：{类型} 收入趋势分析，2022 年和 2032 年（百万美元/十亿美元）
    • 超级影响者
    • 宏观影响者
    • 微影响者
    • 奈米影响者

第 6 章：全球时尚网红行销市场规模与预测：按最终用途划分 - 2022-2032 年

  • 细分仪表板
  • 全球时尚网红行销市场：{最终用途} 收入趋势分析，2022 年和 2032 年（百万美元/十亿美元）

第 7 章：全球时尚网红行销市场规模与预测：按地区划分 - 2022-2032 年

  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 义大利
    • 欧洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 亚太其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 南非
    • 中东和非洲其他地区

第 8 章：竞争情报

  • 重点公司 SWOT 分析
    • AspireIQ
    • Upfluence
    • Traackr
  • 顶级市场策略
  • 公司简介
    • AspireIQ
      • 关键讯息
      • 概述
      • 财务（取决于数据可用性）
      • 产品概述
      • 市场策略
    • Upfluence
    • Traackr
    • Hypetap
    • Influencity
    • Julius
    • Klear
    • GRIN
    • Fohr
    • Tagger Media
    • CreatorIQ
    • BuzzGuru
    • TapInfluence
    • Neoreach
    • IZEA

第九章：研究过程

  • 研究进程
    • 资料探勘
    • 分析
    • 市场预测
    • 验证
    • 出版
  • 研究属性
简介目录

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