During a global 2025 survey among marketing agencies and brands, approximately ** percent of respondents stated that they were using artificial intelligence (AI) for influencer marketing on a limited basis. Another **** percent of marketing professionals shared that they were using AI extensively, compared to *** percent who were not using or planning to use AI.

Introduction

Influencer Marketing Statistics: Influencer marketing is a strategy where different brands work with people who have a lot of followers on social media to promote their products or services. These people, called influencers, use platforms like Instagram, TikTok, YouTube, and Facebook to create content that their followers like.

The effective benefit of influencer marketing is that it helps brands reach a specific audience in a real and engaging way, which builds more trust between the brand and its customers. Social media has made influencer marketing one of the best ways for brands to connect with consumers, making it a strong tool in today's digital marketing world.

This dataset contains respondents' answers regarding A.I. Influencer Characteristics, Impulsive Buying, Perceived Value, and Positive Emotional Appeal.

Companies of all sizes seek out influencer collaborations that can provide a lasting ROI. Check out some of the brands that use our platform to manage the full life cycle of their influencer marketing campaigns.

We know that contact records are at the heart of every influencer database. That's why we introduced custom properties to reflect the unique needs of your influencer data.

• 10M+ Influencers • Get the Look Your Brand Is After • Increase Audience Size and Demographics • Gain Insights for a Stronger Campaign • Effectively track and measure the impact of your campaigns

During a survey concluded in September 2024, approximately ** percent of responding marketers working with influencers in the United States said they had no interest in virtual or AI-generated influencers. According to the same study, reach and engagement rate ranked among U.S. marketers' leading methods of measuring influencer marketing success.

AI-Powered Micro-Influencer Discovery Market Outlook

According to our latest research, the AI-powered micro-influencer discovery market size reached USD 738 million in 2024 globally, demonstrating robust momentum with a compound annual growth rate (CAGR) of 28.6% from 2025 to 2033. By 2033, the market is forecasted to soar to USD 6.9 billion. This exponential growth is primarily driven by the rising demand for more targeted, authentic, and data-driven influencer marketing strategies as brands seek to maximize their marketing ROI in a highly competitive digital landscape. As per our latest research, the integration of artificial intelligence into influencer discovery platforms is revolutionizing the way brands identify, evaluate, and collaborate with micro-influencers, leading to a more efficient and effective influencer marketing ecosystem.

The growth of the AI-powered micro-influencer discovery market is significantly fueled by the increasing importance of authenticity and niche audience engagement in digital marketing. Brands are shifting away from traditional celebrity endorsements toward micro-influencers who possess smaller but highly engaged and loyal followings. AI-driven platforms enable marketers to sift through vast social media data, identify influencers whose audience demographics, interests, and engagement patterns closely align with their brand values and campaign objectives. This precision targeting not only enhances campaign effectiveness but also reduces the risk of fraudulent engagements, a persistent challenge in influencer marketing. The ability of AI to analyze sentiment, content quality, and audience resonance further empowers brands to make data-backed decisions, fostering trust and transparency in influencer collaborations.

Another key growth factor is the scalability and efficiency provided by AI-powered solutions in managing complex influencer campaigns. Traditional influencer discovery and management processes are labor-intensive, time-consuming, and prone to human error. AI automates the identification, vetting, and performance tracking of micro-influencers, enabling marketers to manage hundreds of partnerships simultaneously with minimal manual intervention. This automation is particularly valuable for large-scale campaigns and global brands seeking to localize their messaging across diverse markets. The integration of AI with campaign management tools and CRM systems further streamlines workflow, allowing for real-time performance monitoring, budget optimization, and seamless communication between brands and influencers. As a result, organizations can achieve higher returns on their influencer marketing investments while maintaining agility and responsiveness in a fast-paced digital environment.

The rapid proliferation of social media platforms and the evolving algorithms governing content visibility have also contributed to the expansion of the AI-powered micro-influencer discovery market. As consumer attention becomes increasingly fragmented across multiple digital channels, brands are compelled to adopt more sophisticated strategies to reach their target audiences. AI-powered tools can analyze cross-platform data, track emerging trends, and predict influencer impact with greater accuracy than traditional methods. This capability is especially crucial for industries such as fashion, beauty, food, and travel, where trends evolve rapidly and consumer preferences are highly dynamic. The integration of AI with audience analytics and influencer relationship management further enhances the ability of brands to nurture long-term partnerships, measure campaign ROI, and adapt strategies in real time, ensuring sustained competitive advantage.

From a regional perspective, North America currently dominates the AI-powered micro-influencer discovery market, accounting for the largest revenue share in 2024, followed by Europe and Asia Pacific. The region's leadership is attributed to the early adoption of advanced marketing technologies, a mature influencer marketing ecosystem, and the presence of leading AI solution providers. However, Asia Pacific is expected to witness the highest CAGR during the forecast period, driven by the exponential growth of social media users, rising digital advertising spending, and the increasing penetration of AI-driven marketing platforms in emerging economies such as China, India, and Southeast Asia. Europe also presents significant growth opportunities, particularly in the fashion, lifestyle, and luxury segments, whe

AI-Powered Micro-Influencer Discovery Market Outlook

According to our latest research, the global AI-powered micro-influencer discovery market size reached USD 1.34 billion in 2024, reflecting the sector’s rapid adoption across industries. The market is expected to grow at a robust CAGR of 26.8% during the forecast period, reaching a projected value of USD 12.36 billion by 2033. This remarkable expansion is driven by the increasing demand for data-driven influencer marketing solutions, the rising effectiveness of micro-influencers in targeted campaigns, and the proliferation of AI technologies that streamline influencer identification and engagement.

The primary growth factor propelling the AI-powered micro-influencer discovery market is the shift in marketing strategies from traditional advertising to highly personalized, data-driven campaigns. Brands are recognizing that micro-influencers—those with smaller but highly engaged audiences—deliver better ROI due to their authentic connections with followers. AI-powered platforms are revolutionizing the way brands identify, vet, and collaborate with these micro-influencers by analyzing vast social media datasets, audience demographics, engagement rates, and content relevance in real time. This technological advancement not only enhances campaign accuracy but also reduces manual effort, enabling brands to scale influencer marketing initiatives efficiently and with greater precision.

Another significant driver is the increasing integration of AI in campaign management and analytics. AI algorithms enable brands to predict campaign outcomes, optimize influencer selection, and track real-time performance metrics, thus maximizing the impact of marketing spends. Additionally, the ability of AI-powered solutions to detect fraudulent activities such as fake followers and engagement manipulation is highly valued by marketers aiming for genuine audience reach. The surge in demand for transparent, measurable, and ROI-focused influencer campaigns is further accelerating the adoption of AI-powered discovery platforms, especially among enterprises seeking to expand their digital presence and drive sales through authentic social proof.

Furthermore, the rise of social commerce and the growing influence of platforms like Instagram, TikTok, and YouTube are amplifying the need for advanced influencer discovery tools. As consumers increasingly rely on peer recommendations and influencer content for purchase decisions, brands are leveraging AI to tap into niche communities and micro-segments that traditional marketing often overlooks. The scalability, speed, and accuracy offered by AI-driven discovery tools are critical in enabling brands to stay competitive in a crowded digital landscape. This trend is particularly pronounced among industries such as fashion, beauty, food, and travel, where consumer trust and engagement play pivotal roles in driving conversion rates.

Regionally, North America dominates the AI-powered micro-influencer discovery market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The presence of a robust digital ecosystem, high social media penetration, and early adoption of AI technologies by brands and agencies are key factors contributing to North America’s leadership. Meanwhile, Asia Pacific is witnessing the fastest growth, driven by the expanding e-commerce sector, a burgeoning influencer culture, and increasing investments in digital marketing infrastructure. Europe also presents significant opportunities, particularly in countries with strong fashion, lifestyle, and luxury markets. Latin America and the Middle East & Africa are emerging markets, with growing interest from local brands seeking to leverage influencer marketing for regional and global expansion.

Component Analysis

The component segment of the AI-powered micro-influencer discovery market is bifurcated into software and services. The software segment dominates the market, accounting for the majority of revenue in 2024. This is attributed to the widespread adoption of AI-driven platforms that automate the entire influencer discovery and campaign management process. These platforms leverage advanced algorithms, natural language processing, and machine learning to scan millions of profiles, assess engagement quality, and match brands with the most suitable micro-influencers. Key functionalities include sentiment an

AI-Generated Influencer Script Market Outlook

According to our latest research, the AI-Generated Influencer Script market size reached USD 1.42 billion globally in 2024, supported by a robust demand for automation in influencer content creation. The market is expected to exhibit a remarkable CAGR of 26.3% from 2025 to 2033, resulting in a projected market value of USD 11.48 billion by 2033. This exponential growth is primarily driven by the increasing adoption of AI technologies in digital marketing, the rising need for scalable and personalized influencer campaigns, and the ongoing shift toward data-driven content optimization across all major social platforms.

A key growth factor for the AI-Generated Influencer Script market is the accelerating demand for scalable and consistent content production among brands and influencers. As influencer marketing matures, brands are seeking reliable methods to maintain a steady stream of high-quality, on-brand content that resonates with diverse audiences. AI-generated scripts offer a solution by enabling influencers to rapidly produce tailored messages, adapt to trending topics, and meet the dynamic needs of global campaigns. The ability to generate contextually relevant, platform-specific scripts at scale not only saves time but also enhances engagement rates, driving higher ROI for marketing initiatives. This trend is further amplified by the growing complexity of influencer collaborations, where AI tools help streamline approval workflows and ensure compliance with brand guidelines, fueling market expansion.

Another significant driver is the integration of advanced natural language processing (NLP) and generative AI models into influencer marketing platforms. These technological advancements empower AI-generated script solutions to produce content that mimics human creativity, tone, and emotional resonance, making them virtually indistinguishable from organically written scripts. As brands and agencies increasingly embrace AI-powered tools for content ideation, personalization, and performance analysis, the demand for sophisticated script generation solutions is expected to surge. Furthermore, the proliferation of multilingual campaigns and the need for rapid localization have positioned AI-generated influencer scripts as indispensable assets for global brands aiming to penetrate new markets efficiently and authentically.

The growing emphasis on data-driven decision-making in influencer marketing is also propelling the adoption of AI-generated scripts. Marketers are leveraging AI tools to analyze audience insights, identify trending keywords, and optimize scripts for maximum engagement and conversion. The integration of real-time analytics and feedback loops allows for continuous script refinement, ensuring that influencer content remains relevant and effective. Additionally, the increasing regulatory scrutiny around sponsored content and disclosure requirements is prompting brands to use AI solutions that can automatically embed compliance guidelines into influencer scripts, reducing legal risks and enhancing transparency. These factors collectively contribute to the sustained growth and innovation within the AI-Generated Influencer Script market.

From a regional perspective, North America currently dominates the AI-Generated Influencer Script market, accounting for over 38% of global revenue in 2024, driven by the presence of major tech companies, high digital ad spending, and early adoption of AI-driven marketing tools. Europe follows closely, benefiting from a mature influencer ecosystem and stringent regulatory frameworks that encourage the use of compliant, automated solutions. Meanwhile, Asia Pacific is emerging as the fastest-growing region, with a CAGR exceeding 29%, fueled by the rapid digitalization of consumer markets, the rise of social commerce, and increasing investments in AI startups. Latin America and the Middle East & Africa are also witnessing steady growth, supported by expanding internet penetration and the proliferation of mobile-first influencer campaigns.

Component Analysis

The AI-Generated Influencer Script market by component is primarily segmented into Software and Services, each playing a pivotal role in the ecosystem. The software segment constitutes the backbone of this market, encompassing advanced AI platforms that leverage machine learning, NLP, and d

Influencer Marketing Platform Market Outlook

The global influencer marketing platform market size was valued at approximately USD 10.5 billion in 2023 and is projected to reach an impressive USD 39.2 billion by 2032, reflecting a robust CAGR of 15.6% during the forecast period. This significant growth can be attributed to the increasing reliance on social media channels for brand promotion and consumer engagement. Businesses across various sectors are recognizing the potential of influencer marketing as a cost-effective strategy to reach specific target audiences, leveraging the large followings and impactful voices of social media influencers. The shift from traditional advertising to digital marketing, the proliferation of social media platforms, and the rise of micro-influencers are among the key drivers fueling this market's expansion.

A primary growth factor in the influencer marketing platform market is the changing consumer behavior towards digital content consumption. With the advent of high-speed internet and smartphones, consumers are spending more time online, particularly on social media platforms where influencers are prevalent. This shift has empowered influencers to become critical players in shaping consumer opinions and experiences, thereby driving brands to invest heavily in influencer marketing strategies. Additionally, the authenticity and relatability of influencers' content make them more appealing to consumers compared to conventional advertising, allowing brands to establish genuine connections with their audience, which in turn fuels market growth.

Another significant driver is the technological advancements in data analytics and artificial intelligence, which are enhancing the effectiveness and efficiency of influencer marketing campaigns. Modern influencer platforms are equipped with sophisticated analytics tools that allow brands to track campaign performance, audience engagement, and ROI with precision. These tools provide detailed insights into consumer preferences and behaviors, enabling brands to tailor their marketing strategies for maximum impact. Furthermore, AI is being utilized to predict trends, optimize content delivery, and identify the most suitable influencers for specific campaigns, making influencer marketing a more strategic and data-driven approach.

The emergence of new social media platforms and the evolving nature of existing ones also contribute to the market's growth. Platforms like TikTok, Instagram, and YouTube continue to innovate, offering new features and functionalities that enhance user engagement and content creation. This continuous evolution creates fresh opportunities for influencers to expand their reach and for brands to explore innovative marketing strategies. As these platforms grow their user bases, the scope for influencer marketing widens, attracting more businesses to invest in this dynamic field, further propelling market development.

From a regional perspective, North America holds a dominant position in the influencer marketing platform market, driven by the high adoption rate of digital marketing practices and the presence of major social media platforms. The region's advanced technological infrastructure supports the swift implementation of influencer marketing strategies. However, rapid growth is also observed in the Asia Pacific region, which is anticipated to exhibit the highest CAGR over the forecast period. The burgeoning internet penetration, increasing number of social media users, and the rising popularity of e-commerce are key factors contributing to the market expansion in this region. Europe and Latin America also present lucrative opportunities, with brands increasingly leveraging influencers to tap into regional markets.

Component Analysis

The components of the influencer marketing platform market are broadly categorized into solutions and services, each playing a crucial role in driving market dynamics. The solutions segment comprises software and platforms that enable brands to discover, manage, and measure influencer campaigns. These solutions offer a wide range of functionalities such as influencer search and discovery, campaign management, analytics, and compliance management tools. As brands prioritize transparency and accountability in their marketing efforts, demand for advanced solutions that can provide comprehensive data insights and performance metrics has surged. This demand is further propelled by the need for streamlined workflows and enhanced collaboration between brands and influencers, positioning the solutions segment as a pivotal growth pillar in the market.

According to a survey conducted in February 2023, ** percent of consumers in the United States trusted influencer content generated by artificial intelligence (AI) the same amount as they trusted content generated by human influencers themselves. Another ** percent of U.S. consumers distrusted the same type of content a little more than the human-generated one.

AI-Enhanced Influencer Sentiment Tracker Market Outlook

According to our latest research, the AI-Enhanced Influencer Sentiment Tracker market size reached USD 1.47 billion in 2024, demonstrating robust adoption across digital marketing landscapes. The market is projected to expand at a CAGR of 18.9% from 2025 to 2033, reaching a forecasted valuation of USD 7.08 billion by 2033. This remarkable growth trajectory is being driven by the increasing reliance on artificial intelligence for real-time sentiment analysis, the proliferation of influencer marketing campaigns, and the rising need for advanced analytics to measure campaign effectiveness and protect brand reputation.

One of the primary growth drivers for the AI-Enhanced Influencer Sentiment Tracker market is the exponential increase in influencer marketing investments by brands globally. Businesses are allocating larger portions of their marketing budgets to influencer partnerships, seeking to leverage the authentic connections influencers have with their audiences. However, with this growth comes the challenge of managing brand perception and campaign ROI. AI-powered sentiment trackers provide granular, scalable insights into how influencer content is being received, helping brands optimize their strategies in real time. The integration of machine learning and natural language processing technologies enables these platforms to process vast volumes of data across multiple channels, offering a nuanced understanding of audience emotions, trends, and emerging risks.

Another significant factor fueling market expansion is the rising sophistication of social media platforms and the increasing complexity of digital conversations. Influencer sentiment tracking tools powered by AI can now analyze not only text but also images, videos, and even voice content, providing a holistic view of influencer impact. The ability to detect sarcasm, irony, and evolving slang through advanced algorithms has dramatically improved sentiment accuracy. Moreover, as consumers become more vocal and socially conscious, brands are under greater scrutiny to ensure their influencer partnerships align with their values. AI-enhanced sentiment analysis helps companies swiftly identify potential PR crises and manage reputational risks before they escalate.

The democratization of AI technologies and the advent of cloud computing have also lowered the barriers to entry for smaller brands and agencies. Cloud-based deployment models offer scalability, lower upfront costs, and seamless integration with existing marketing tech stacks. As a result, even small and medium-sized enterprises are adopting AI-Enhanced Influencer Sentiment Trackers to compete with larger players. Furthermore, the growing emphasis on data-driven decision-making in marketing strategies is propelling demand for actionable insights derived from sentiment analysis. The convergence of these factors is expected to sustain high growth rates for the market over the forecast period.

From a regional perspective, North America continues to dominate the AI-Enhanced Influencer Sentiment Tracker market, accounting for the largest share in 2024. This is attributed to the region’s mature digital marketing ecosystem, high adoption of advanced analytics, and the presence of leading technology providers. However, Asia Pacific is emerging as the fastest-growing region, driven by rapid digitalization, burgeoning influencer communities, and increasing investments in AI-driven marketing technologies. Europe also represents a significant market, particularly in industries such as retail, BFSI, and media, where regulatory compliance and brand reputation are paramount. The Middle East & Africa and Latin America are witnessing steady adoption, supported by growing social media penetration and the expansion of digital marketing agencies.

Component Analysis

The Component segment of the AI-Enhanced Influencer Sentiment Tracker market is primarily bifurcated into software and services. The software sub-

Brand performance data collected from AI search platforms for the query "influencer marketing ROI calculator".

Brand performance data collected from AI search platforms for the query "micro-influencer vs macro influencer ROI".

Brand performance data collected from AI search platforms for the query "influencer seeding campaign checklist".

AI-Powered Influencer Fraud Detection Market Outlook

According to our latest research, the global AI-Powered Influencer Fraud Detection market size reached USD 562.7 million in 2024. With the increasing demand for robust digital marketing security and the proliferation of influencer-driven campaigns, the market is expected to grow at a CAGR of 19.4% from 2025 to 2033. By the end of 2033, the market is projected to attain a value of USD 2,800.6 million. The primary growth factor is the rapid digitalization of marketing strategies and the critical need to mitigate influencer fraud risks, which are becoming increasingly prevalent across global social media platforms.

The surge in social media marketing expenditure by brands and businesses is a significant driver for the AI-Powered Influencer Fraud Detection market. As organizations shift their advertising budgets toward influencer marketing, the risk of fraudulent activities such as fake followers, engagement bots, and misrepresented audience demographics has escalated. AI-powered solutions are uniquely positioned to address these challenges by providing real-time analytics, automated detection, and continuous monitoring capabilities. The integration of machine learning algorithms enables these platforms to identify subtle patterns of fraudulent behavior, which manual methods often overlook. This technological advancement is compelling brands and agencies to adopt AI-driven fraud detection tools to safeguard their investments and ensure campaign authenticity.

Another vital growth factor is the increasing regulatory scrutiny and the demand for compliance with advertising standards. Regulatory bodies worldwide are introducing stricter guidelines to ensure transparency and authenticity in influencer marketing. Non-compliance can result in hefty fines, reputational damage, and loss of consumer trust. AI-powered fraud detection platforms not only help organizations adhere to these regulations but also provide comprehensive audit trails and compliance management features. This capability is particularly crucial for industries with stringent advertising norms, such as pharmaceuticals, finance, and consumer goods. As a result, the adoption of AI-based solutions is becoming a strategic imperative for companies aiming to maintain regulatory compliance and uphold brand integrity.

The continuous evolution of influencer fraud tactics further fuels the necessity for advanced AI-driven detection mechanisms. Fraudsters are employing increasingly sophisticated methods, such as deepfake influencers, coordinated engagement pods, and fake account networks, making traditional detection methods obsolete. AI-powered platforms leverage large-scale data analytics, natural language processing, and behavioral analysis to stay ahead of these evolving threats. This adaptability ensures that detection systems remain effective in identifying both existing and emerging forms of influencer fraud. Consequently, the market is witnessing robust investments in research and development, with vendors striving to enhance the intelligence and responsiveness of their offerings.

From a regional perspective, North America currently dominates the AI-Powered Influencer Fraud Detection market, accounting for the largest revenue share in 2024. The region’s advanced digital ecosystem, high penetration of social media platforms, and early adoption of AI technologies contribute to this leadership. Europe follows closely, driven by stringent regulatory frameworks and a mature influencer marketing landscape. Meanwhile, the Asia Pacific region is expected to exhibit the fastest growth rate over the forecast period, propelled by the rapid expansion of digital economies, increasing social media usage, and heightened awareness of influencer fraud risks. Latin America and the Middle East & Africa are also experiencing steady growth, albeit from a smaller base, as brands in these regions increasingly recognize the value of fraud mitigation in influencer campaigns.

Component Analysis

The AI-Powered Influencer Fraud Detection market by component is segmented into Software and Services. The software segment represents the core of the market, encompassing advanced platforms that utilize artificial intelligence, machine learning, and big data analytics to detect fraudulent influencer activities. These software solutions are designed to analyze vast datasets in real time, offering features such as

Discover over 1M+ million trending Instagram influencers worldwide with this extensive dataset built for scale. Perfect for influencer discovery, audience segmentation, and campaign planning.

🌎 Global Creator Coverage: Spans influencers across all regions, niches, and tiers—from nano to celebrity-level accounts—identified through engagement trends and growth signals.

📊 Rich Profile Insights: Includes bios, follower and media counts, category tags, language, engagement metrics, and account authenticity indicators to support robust filtering and analysis.

⚡ Flexible & Scalable: Delivered in clean CSV format with documentation for integration into analytics platforms, marketing stacks, or ML workflows. Custom delivery options available.

📱Post Data: Includes the latest 10 posts per profile by default—expandable upon request.

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Influencer Marketing Platform Market Size 2025-2029

The influencer marketing platform market size is forecast to increase by USD 80.3 billion, at a CAGR of 35.8% between 2024 and 2029.

The market is experiencing significant growth, driven by increasing partnerships and mergers and acquisitions among companies. These collaborations bolster the market's competitive landscape, enabling influencer marketing platforms to gain customer trust and create strong brand images. However, the market also faces challenges such as the rise of fake followers and the need for advanced technologies like machine learning (ML) and AI to ensure authenticity and transparency. As influencer marketing continues to evolve, the prevalence of fraudulent social media accounts poses a threat to the authenticity and effectiveness of influencer campaigns. Brands must navigate this challenge by investing in robust verification tools and implementing rigorous vetting processes to ensure they collaborate with genuine influencers, maintaining the integrity and credibility of their marketing strategies.
Companies seeking to capitalize on the market's opportunities and effectively manage these challenges must stay informed about emerging trends and best practices in influencer marketing and verification technologies.

What will be the Size of the Influencer Marketing Platform Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The influencer marketing landscape continues to evolve, with dynamic market activities shaping its contours. Brands increasingly leverage influencer marketing budgets to expand reach and impressions, optimizing campaigns through advanced tools and strategies. Influencer marketing software integrates social media marketing, content distribution, and sentiment analysis, enabling real-time social listening and content collaboration. Machine learning and artificial intelligence enhance influencer marketing strategy, influencer outreach, and data analytics, fostering brand awareness and reputation management. Influencer marketing agencies facilitate influencer endorsements, partnerships, and discovery, while ensuring brand safety and customer acquisition.

Performance tracking and engagement metrics provide valuable insights for content strategy and sales conversion, ultimately driving customer retention and lead generation. The ongoing integration of data analytics, social media integration, and influencer marketing tools continues to reshape the digital marketing landscape.

How is this Influencering Platform Industry segmented?

The influencering platform industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  Large enterprise
  Small and medium enterprise


Application

  Fashion and lifestyle
  Food and entertainment
  Travel and holiday
  Sports and fitness
  Others


Type

  Campaign Management
  Search & Discovery
  Analytics & Reporting
  Influencer Management


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  Middle East and Africa

    Egypt
    KSA
    Oman
    UAE


  APAC

    China
    India
    Japan


  South America

    Argentina
    Brazil


  Rest of World (ROW)

By End-user Insights

The large enterprise segment is estimated to witness significant growth during the forecast period.

Influencer marketing platforms have become essential tools for large enterprises seeking to expand brand reach, engage audiences, and drive sales conversions. These platforms offer advanced features tailored to the unique needs of large-scale businesses, including campaign optimization, content scheduling, and audience targeting. Artificial intelligence and machine learning technologies enable influencer discovery, content collaboration, and sentiment analysis, ensuring brand safety and reputation management. Data analytics plays a pivotal role in influencer marketing platforms, providing real-time performance tracking and engagement metrics. Large enterprises benefit from data visualization tools, which help them understand the impact of their influencer marketing strategies and make data-driven decisions.

Influencer marketing budgets are managed effectively through these platforms, ensuring efficient content distribution across social media channels and other digital marketing avenues. Influencer marketing agencies and networks are integrated into these platforms, streamlining the process of influencer outreach and partnerships. Influencer endorsements and brand advocacy are facilitated through influencer collaboration tools, which help businesses bu

The Influencer Marketing market is experiencing robust growth, projected to reach $13.80 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 31.95% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing adoption of social media and the rising preference for authentic brand endorsements by consumers are major contributors. Businesses are increasingly recognizing the effectiveness of influencer marketing in reaching targeted audiences, building brand awareness, and driving sales, particularly amongst younger demographics. Further driving growth is the evolution of influencer marketing platforms and analytics tools that provide greater transparency and measurability of campaign performance, allowing for more sophisticated strategies and ROI assessment. The diverse range of influencer types, from micro-influencers to mega-influencers, allows for customized campaigns reaching various market segments. Key segments include software and service components, targeting both Small and Medium Enterprises (SMEs) and Large Enterprises across diverse applications like campaign management, search and discovery, analytics, product seeding, and others. Retail and e-commerce, fashion and lifestyle, travel and hospitality, and food and beverage industries are leading end-user sectors. Geographic distribution shows a strong presence across North America, Europe, and Asia, with the United States, China, and the UK representing significant market shares. However, the market's growth potential is extensive, with emerging markets in Asia and Latin America expected to contribute significantly to the overall expansion in the coming years. While challenges exist, such as influencer fraud and maintaining authenticity, the industry is proactively addressing these concerns through improved verification methods and increased transparency. The continued advancement of technology, the expanding reach of social media platforms, and the evolving consumer behavior suggest that the influencer marketing market will maintain its high growth trajectory throughout the forecast period, creating significant opportunities for market participants. Recent developments include: August 2024: The Tourism Authority of Thailand (TAT) has unveiled its new influencer marketing platform, 'TAT Connex', marking a significant step in its digital transformation strategy for promoting and developing tourism. 'TAT Connex' invites a diverse range of participants, including local and international Key Opinion Leaders (KOLs), influencers, bloggers, media personalities, and celebrities. They can connect with ten distinct categories of tourism-related businesses. These categories encompass dining establishments, hotels and homestays, transportation services, recreational activities and attractions, travel agencies, health and beauty services, shopping centers, entertainment venues, and souvenir shops.July 2024: Collective Artists Network, a new media entity focused on pop culture, is venturing into AI by acquiring Galleri5. Galleri5 is an AI-driven platform specializing in influencer marketing analytics and content management, catering to brands and influencers. Its offerings encompass AI-generated visual content, creator intelligence, campaign oversight, and trend prediction. By acquiring Galleri5, the firm is making a significant stride in weaving deep tech and AI into the fabric, bolstering its capacity to deliver state-of-the-art solutions to talents, content platforms, and brands.July 2024: Publicis Groupe has agreed to acquire Influential, the leading global influencer marketing platform. Influential specializes in authentically linking brands to their audiences through creating, deploying, and optimizing digital campaigns driven by creators. As the world's largest influencer marketing firm by revenue, Influential boasts a proprietary AI-driven technology platform that analyzes over 100 billion data points. Its expansive network includes over 3.5 million creators, granting access to data on 90% of global influencers with over 1 million followers. Currently, Influential provides its services to more than 300 brands worldwide.June 2024: Qoruz, an influencer marketing platform based in India, has partnered with Dabur, a brand celebrated for its natural and Ayurvedic products. This collaboration enhances Dabur's influencer marketing strategy, fostering more authentic and impactful connections with its audience. Leveraging Qoruz's sophisticated analytics and influencer management tools, Dabur aims to pinpoint influencers that resonate with the brand's fundamental values. Through Qoruz’s platform, Dabur gains data-driven insights into influencer performance and audience engagement, enabling them to craft campaigns that effectively resonate with their target demographic.. Key drivers for this market are: Firms Increasing Necessity to Utilize Influencer Marketing Platforms for Enhanced Consumer Engagement, Increasing Penetration of Social Media Platforms. Potential restraints include: Firms Increasing Necessity to Utilize Influencer Marketing Platforms for Enhanced Consumer Engagement, Increasing Penetration of Social Media Platforms. Notable trends are: Fashion and Lifestyle is Expected to Hold Significant Share.

Access the Verified TikTok Influencers Dataset—18,000+ high-authority creators with verified status and established audiences.

🎯 High-Credibility Segment: Includes globally recognized influencers with verified checkmarks, spanning categories like fashion, music, lifestyle, beauty, and entertainment.

📊 Detailed Profile Insights: Features usernames, bios, follower counts, content themes, engagement rates, and verification status—ideal for premium partnerships and influencer benchmarking.

⚡ Ready for Integration: Delivered in clean CSV format with structured fields and full documentation. API and tailored delivery options available for enterprise workflows.

🗃️ Clean & Flexible Delivery: Provided in CSV format with structured fields and documentation for seamless integration. API and custom formats available upon request.

📱 Post Data: Includes the latest 10 posts per profile by default—expandable upon request.

Explore the TikTok Mom Creators Dataset, a curated collection of content and performance insights from over 45,000 TikTok creators in the parenting and lifestyle space. This dataset unlocks a powerful view into social engagement, creator behavior, and content trends.

Niche Audience Focus: Targeted dataset featuring verified Mom creators across a wide range of parenting, wellness, and family-related niches.

Rich Engagement Metrics: Includes views, likes, shares, comments, views, verified creator, and more—ideal for benchmarking and influencer evaluation.

Flexible & Ready to Use: Delivered via API, CSV, or custom format with clean, structured data and supporting documentation for seamless integration and custom analysis.

Post data: By default the dataset provides the latest 10 posts per profile. This can be expanded at request.