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Influencer Marketing Platform Market to Grow by USD 80.3 Billion from 2025-2029, Driven by Vendor Partnerships and M&A, Report on Market Evolution Powered by AI – Technavio

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NEW YORK, Feb. 11, 2025 /PRNewswire/ — Report on how AI is driving market transformation – The global influencer marketing platform market size is estimated to grow by USD 80.3 billion from 2025-2029, according to Technavio. The market is estimated to grow at a CAGR of 35.8% during the forecast period. Increasing partnerships and mergers and acquisitions among vendors is driving market growth, with a trend towards influencer marketing platforms gain customer trust and create brand image. However, increase in number of fake followers poses a challenge. Key market players include AspireIQ Inc., Captiv8 Inc., Cision US Inc., CreatorIQ, Emplifi Inc, ExpertVoice Inc., Fashion GPS Inc., Impact Tech Inc., IZEA Worldwide Inc., JuliusWorks Inc., Linqia Inc., Lumanu Inc., Mavrck LLC, Meltwater NV, Modern Agency SAS, Onalytica Ltd., Quotient Technology Inc., Social Beat Digital Marketing LLP, The W Factory LLC, and Upfluence Inc..

Key insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View Free Sample PDF

Influencer Marketing Platform Market Scope

Report Coverage

Details

Base year

2024

Historic period

2019 – 2023

Forecast period

2025-2029

Growth momentum & CAGR

Accelerate at a CAGR of 35.8%

Market growth 2025-2029

USD 80.3 billion

Market structure

Fragmented

YoY growth 2022-2023 (%)

32.4

Regional analysis

North America, Europe, APAC, Middle East and Africa, and South America

Performing market contribution

North America at 34%

Key countries

US, Germany, China, UK, Japan, India, France, Italy, Brazil, and Spain

Key companies profiled

AspireIQ Inc., Captiv8 Inc., Cision US Inc., CreatorIQ, Emplifi Inc, ExpertVoice Inc., Fashion GPS Inc., Impact Tech Inc., IZEA Worldwide Inc., JuliusWorks Inc., Linqia Inc., Lumanu Inc., Mavrck LLC, Meltwater NV, Modern Agency SAS, Onalytica Ltd., Quotient Technology Inc., Social Beat Digital Marketing LLP, The W Factory LLC, and Upfluence Inc.

Market Driver

In today’s digital world, influencer platforms are trending in business as an effective marketing strategy. Digital media allows brands to reach wider audiences through influencers with trust and credibility in niche communities. Engaging content is key to successful influencer campaigns, with traditional advertising taking a backseat. Transparency and authenticity are essential, as AI-driven solutions like HypeAuditor combat influencer fraud. Micro-influencers offer high engagement rates and customer referrals, while social media channels like Instagram, TikTok, and YouTube drive brand awareness and sales. Influencer relationship management is crucial for B2B and B2C businesses in industries such as Fashion & Beauty, Gaming, Travel and Lifestyle, Family, Parenting & Home, Health and Fitness, and more. Leads generation, customer reviews, stories, and social sharing further boost campaigns. Hollywood stars and ML (Machine Learning) are also jumping on the bandwagon. Smartphones and the internet provide easy access to online platforms, making influencer marketing a public favorite for brand awareness and customer engagement. Video content and content creation are essential, with AI-driven generative AI solutions streamlining the process. 

Enterprises utilize influencer marketing platforms to expand their brand reach and engage with their audience on social media. These platforms enable organizations to share their brand story and showcase products or services to a targeted demographic. Influencer marketing helps establish credibility and trust with customers through authentic endorsements. The importance of social media presence and the effectiveness of influencer marketing are key factors fueling the growth of the influencer marketing platform market. Organizations seek to build long-term relationships with their customer base by creating valuable content through these platforms. 

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Market Challenges

In today’s digital media landscape, businesses face numerous challenges when it comes to influencer platforms. Trust and credibility are key concerns as niche communities expect authentic and engaging content. Traditional advertising methods no longer cut it, and transparency and authenticity are essential. AI-driven solutions like HypeAuditor help combat influencer fraud, while generative AI assists in content creation. Micro-influencers offer a cost-effective alternative, reaching specific social media channels such as Instagram, TikTok, and YouTube. Brands must build strong influencer relationships for leads generation, customer referrals, and reviews. Retail & ecommerce, fashion & beauty, gaming, travel and lifestyle, family, parenting & home, health and fitness industries all benefit from influencer marketing. Transparency, ML (Machine Learning), and B2B or B2C campaigns aim for brand awareness, high engagement rates, sales, and customer engagement. Video content and social sharing on Hollywood-level platforms drive hype. Influencer relationship management tools like Influencer Marketing Hub help navigate this complex landscape. Smartphones and the internet have made online platforms accessible to the public, making influencer marketing an essential tool for businesses.The influencer marketing landscape has witnessed significant growth as consumers have shifted their attention from traditional television (TV) to social media and Over-The-Top (OTT) channels. Brands aim to engage with authentic and impactful influencers to promote products and services, driving sales. With the increasing competition, there is a rising demand for both micro and macro influencers. However, identifying genuine influencors with large followings has become challenging. Unfortunately, some individuals purchase fake followers or even create fraudulent Instagram accounts to reap influencer benefits, making it essential for organizations to exercise caution.

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Segment Overview 

This influencer marketing platform market report extensively covers market segmentation by

End-userLarge EnterpriseSmall And Medium EnterpriseApplicationFashion And LifestyleFood And EntertainmentTravel And HolidaySports And FitnessOthersGeographyNorth AmericaEuropeAPACMiddle East And AfricaSouth AmericaTypeCampaign ManagementSearch & DiscoveryAnalytics & ReportingInfluencer Management

1.1 Large enterprise- Influencer marketing platforms are essential tools for large enterprises to expand brand reach, engage audiences, and convert leads. These platforms offer powerful campaign management features, enabling businesses to handle intricate campaigns across various regions and demographics. The focus on data and performance analytics sets influencer marketing platforms apart, providing real-time insights for optimizing influencer collaborations and measuring return on investment (ROI). For large enterprises, ROI tracking is crucial, making data-driven influencer marketing strategies indispensable. Influencer marketing platforms also amplify business presence on e-commerce platforms, enhancing visibility through appropriate keywords. The ability to manage campaigns, amplify content, access marketplaces, and leverage third-party analytics are significant factors driving the growth of the global influencer marketing platform market for large enterprises.

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Research Analysis

The Influencer Platform Market is a digital space where brands connect with influencers to create engaging content that resonates with their audience. Trust and credibility are crucial elements in this market, as niche communities look up to influencers for authentic recommendations. Traditional advertising is being overshadowed by influencer marketing due to its ability to reach a wider, more targeted audience. Transparency and authenticity are essential for maintaining the trust of both the audience and the brands. Generative AI is revolutionizing content creation, allowing influencers to produce high-quality content more efficiently. However, the rise of influencer fraud has become a significant concern, leading to the need for third-party verification tools like HypeAuditor. The influencer market caters to various industries, including Fashion & Beauty, Gaming, Travel and Lifestyle, and Smartphones, among others. It operates on both B2B and B2C models, with influencers promoting products and services to their followers. Brands leverage influencer marketing for brand awareness, engagement rate, sales, and content creation. The Hollywood industry has also embraced influencer marketing, with celebrities acting as influencers for various brands. ML (Machine Learning) algorithms are used to identify potential influencers and match them with suitable brands. The internet and online platforms have made influencer marketing accessible to the public, making it an essential marketing strategy for businesses in the digital age.

Market Research Overview

The Influencering Platform Market is a dynamic and ever-evolving digital media landscape that connects brands with influencers to build trust and credibility within niche communities. Engaging content is the cornerstone of successful influencer marketing, with traditional advertising taking a backseat to transparency and authenticity. AI-driven solutions, including generative AI, are revolutionizing the industry by streamlining influencer discovery and relationship management. However, challenges such as influencer fraud and the rise of micro-influencers require constant vigilance. Social media channels like Instagram, TikTok, and YouTube dominate the space, with retail & ecommerce, customer referrals, and reviews playing crucial roles. Influencer relationships are key to brand awareness, engagement rate, sales, and content creation, particularly in industries like Fashion & Beauty, Gaming, Travel and Lifestyle, Family, Parenting & Home, Health and Fitness, and more. B2B and B2C brands leverage these platforms for leads generation, while Hollywood, ML (Machine Learning), and HypeAuditor are shaping the future of the industry. Smartphones and the internet have made online platforms accessible to the public, allowing for real-time social sharing and storytelling. Influencer Marketing Hub and other resources provide valuable insights and trends in this exciting and growing market.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

End-userLarge EnterpriseSmall And Medium EnterpriseApplicationFashion And LifestyleFood And EntertainmentTravel And HolidaySports And FitnessOthersGeographyNorth AmericaEuropeAPACMiddle East And AfricaSouth AmericaTypeCampaign ManagementSearch & DiscoveryAnalytics & ReportingInfluencer Management

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

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SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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