"2026 China Internet and AI Big Data Model Content Risk Control Industry Development Research Report" (PDF file)

"China's Internet and..."AILarge ModelThe "Content Risk Control Industry Development Research Report" focuses onAILarge ModelThe era of content risk control market. The report defines UGC/PGC/AIGC full lifecycle monitoring system, prediction based onLarge ModelThe third-party risk control market for technology is projected to grow from RMB 1.18 billion in 2023 to RMB 9.37 billion in 2030 (a CAGR of over 30%). This analysis outlines the industry chain and identifies 16 types of content security risks.Large ModelWe provide end-to-end protection technologies and analyze practical cases from leading vendors such as NetEase Smart Enterprise-YiDun and 360, offering a comprehensive perspective for the industry.

Scan the QR code to follow our official WeChat account and reply with the following code:20260618,freeGet PDF report

• Report Title: China's Internet andAILarge ModelContent Risk Control Industry Development Research Report
• Issuing agencyiResearch Consulting
• Release timeJune 2026
• Report PositioningFocusAILarge ModelMarket structure, technology system, industry chain and future trends of content risk control industry in the current era

• What is content risk control?Content risk control refers to the measures taken by enterprises within their digital business ecosystem, relying on...artificialintelligentTechnologies such as [those mentioned above], combined with standardized management processes, enable the creation of user-generated content and professionally generated content across all scenarios.artificialintelligentThe generated content undergoes full lifecycle monitoring from its creation and dissemination to its storage, enabling accurate identification, assessment, and interception of risky content.
• Core MissionOn the basis of ensuring that enterprises strictly comply with laws, regulations and regulatory requirements, we will accurately intercept and deal with risky content and build a safe, credible and sustainable platform content environment.
• Digital content coverage
  • UGCText, special symbols, animated GIFs, videos, live streams, documents
  • PGC: Code, images, QR codes, audio, bullet comments, compressed files
  • AIGC:AIGenerate full-modal content including text, images, videos, and audio.

  Industry Development Background and Market Size

  • Development Background:AIInspur is propelling content risk control into a new era. Currently, traditional review methods, such as manual review and automated review based on established rules, still account for over 50% of the market share. However, these methods are increasingly failing to meet business requirements for real-time performance, accuracy, and cost control. A new generation of...intelligentRisk control systems are gradually replacing traditional review models.
  • Dual-engine growth logic
    • Replacement of existing stockTraditional manual and rule-based review processes were...intelligentThe risk control system is replaced to achieve cost reduction, efficiency improvement, and comprehensive coverage.
    • Incremental Creation:Scenario expansion and content increment (short videos, live streaming,AIThe GC outbreak has driven the boundaries of risk control to extend infinitely.
    • 20231.18 billion yuan
    • 20241.73 billion yuan
    • 20252.48 billion yuan
    • 2026 (forecast)3.42 billion yuan
    • 2027 (forecast)4.62 billion yuan
    • 2028 (forecast)6.1 billion yuan
    • 2029 (forecast)7.81 billion yuan
    • 2030 (predicted)9.37 billion yuan
    • Three-tier structure of the industrial chain
      • UpstreamThe foundational layer provides basic support such as computing power, algorithms, and data resources. Representative vendors include Alibaba Cloud, Tencent Cloud, Huawei Cloud, and Baidu.intelligentProviders of basic technologies such as cloud computing and China Telecom Cloud; data resource providers such as the Cyberspace Administration of China, the Chinese Internet Corpus Resource Platform, and Haitian Ruisheng.
      • MidstreamCore layer. Provides content risk control products and services, divided into three categories:
        • Professional risk control service providerNetEase Smart Enterprise · YiDun, ShuMei, RealAIBotSmart, Qingqiong.
        • Comprehensive cloud vendorAlibaba CloudAISafety railings, Tencent Cloud Tianyu, BaiduintelligentCloud content moderation platform, Huawei Cloud content moderation Moderation.
        • Traditional cybersecurity vendors360, NSFOCUS, Qi An Xin, Topsec.
        • Service ModelRisk control as a service (SaaS) coversMultimodalFull-scenario content risk control; leading service providers offer full-stack risk control services from content to business.
        • Payment methodsSaaS subscription (paid per account/traffic annual fee, Tokens, etc. based on usage volume); customized deployment (project buyout with maintenance fees).
        • Derivative businessEnterprise content security training, compliance certification consulting,Large ModelRed and blue army confrontation exerciseLarge ModelRegistration and brand public opinion monitoring.

        Internet andLarge ModelThe content risks we face can be divided into two main categories: compliance risks and business risks.

        • Compliance risks (8 categories)
          • Politically Sensitive: reactionary remarks, political figures who violate regulations, distortion of history or national policies
          • Explosives and terrorismBloodshed and violence, terrorism, and the promotion of extremism
          • Pornography and vulgarityVulgarity, nudity, pornography, softcore pornography, etc.
          • ContrabandDrugs, firearms, gambling, illegal betting, etc.
          • personal informationLeaking citizens' personal information, ID cards, addresses, etc.
          • rumorFabricating false information about real-time politics, social issues, and people's livelihoods.
          • Value bias: Fundamental errors in national culture and political system, superstition, etc.
          • Protection of minorsInducing minors to make purchases, child pornography, etc.
          • Spam adsSpamming, link redirection, malicious marketing, etc.
          • Cybercrime: Malicious spamming by online trolls, inflating views and controlling comments, creating fake trending topics
          • Copyright infringement and piracy: piracy of films and books, unauthorized copying of exclusive content,AIplagiarism
          • negative guidance: flaunting wealth, inciting conflict based on gender antagonism, fan wars, etc.
          • Inappropriate remarksPersonal attacks, discriminatory remarks, malicious harassment, etc.
          • CyberbullyingDoxxing, group insults, defamation, etc.
          • AIGC abuseLow qualityAIcontent,AIImpersonating public figures to deceive and smear
          • Commercial fraudFalse advertising, inducements to offer high financial returns, etc.

          AICore Requirements of Content Risk Control in the GC Era

          • The six core dimensions of the new generation content risk control system
            • accuracyIt accurately identifies various types of risky content with low false negative and false positive rates, balancing content compliance and user experience.
            • Timeliness:AIContent spreads rapidly in this era, requiring real-time review.fastDisposal.
            • stabilityContent production has grown exponentially, and the system maintains stable operation despite high-concurrency, large-scale processing under massive review demands.
            • ExplainabilityThe risk assessment is transparent, and the assessment criteria are output in natural language.
            • costCost gradient design, detectorfastBlock obviously illegal content, perform deep reasoning on a small number of content items, and optimize token usage.
            • High concurrency and real-time processing capabilitiesTo address the explosion of digital content and the need for millisecond-level feedback.
            • Deepfake detection capability:responseMultimodalDeepfake, which simultaneously forges video, audio, and text.
            • MultimodalFusion and deep language understanding capabilities: Responding to the newMultimodalThe integration and complexity of the content violated regulations.
            • Full lifecycle risk control capabilities: Shift from passive response to proactive prevention and control, and achieve a closed loop throughout the entire process.
            • AIGC-specific identification and tracing capabilities:AIGC content recognition,AIContent labeling and tracingAIGC fingerprint recognition.
            • Dynamic confrontation and adaptive evolution capabilitiesIn response to new types of illegal content,fastIterative response.
            • Customization and scalabilityIt adapts to the differentiated risk control needs of different industries and scenarios.
            • Compliance and ethical control capabilitiesIt complies with legal provisions, ethical requirements, and norms for the protection of minors.

            Industry competitive landscape and vendor practices

            • China in 2025Large ModelContent risk control market competition landscape
              • NetEase Smart Enterprise - YiDunIt holds approximately 43.7% of the market share.Large ModelIt ranks first among content risk control service providers. Its core advantages include a complete product system ("intrinsic security + fence protection" across the entire chain).MultimodalAuthoritative and compliant endorsement (National Standard "Generative...")artificialintelligent(Core drafting unit of "Basic Requirements for Service Safety"); Sufficient market validation (services over 100) AIGC clients include leading clients such as Kimi and MiniMax.
              • Other service providersIt holds approximately 56.3% of the market share, including companies like Shumei and Real.AIProfessional risk control vendors such as BotSmart and Qingqiong, as well as traditional cybersecurity vendors such as 360 and Qi An Xin.
              • Practice 1: Basic Base Model
                • Core challenges:Prompt wordsWith escalating attacks and increasingly stringent compliance regulations, a balance needs to be struck between compliance and user experience.
                • Solution:AIIt detects and identifies high-risk content, combines model-inherent security optimizations to enhance the user experience, provides industry compliance consulting and dynamic information synchronization, and continuously monitors and iterates the model.
                • Key achievementsRisk concentration decreased by more than 70%, and data identification accuracy reached over 96%.
                • Core challengesThe content security review standards for K-12 education scenarios are stringent, and some content has blurred boundaries, making it easy to misjudge or miss.
                • SolutionStandard and model threshold adaptation, 8 weeks of intensive protection, more than 200,000 pieces of data labeled in the vertical education scenario, construction of a refined training dataset, and targeted optimization of positive and negative content recognition logic.
                • Key achievementsWithin 8 weeks, risk control capabilities were significantly improved, with risk data recall accuracy increasing from 80% to 88% and data identification accuracy reaching 98.5%.
                • Core ConceptsWith "using models to control models" as the core, it adopts a strategy of combining external security with platform-native security.
                • Product Matrix:
                  • Large ModelGuardian Computing Power Host Security System:AIAsset discovery, intrusion detection, and MCP detection.
                  • Large ModelGuardian Protection SystemContent security guardrail, security management functions, and content security assessment.
                  • Large ModelHallucination Detection and Relief SystemSearch enhancement, knowledge injection, and intent understanding.
                  • Core scenarios continue to be deepened
                    • General Internet ScenariosThe integration of social media, short videos, live streaming, e-commerce, gaming, and other general internet scenarios continues to deepen.
                    • AIGC andLarge ModelFull lifecycle governance of model content is becoming an emerging core scenario.AgentApplication extensions such as logic and permissions.
                    • Intellectual Property and Copyright ProtectionMonitoring of infringing videos, pirated text, plagiarized images, facial and voiceprint data, etc., and protection of intellectual property rights and copyrights for various types of content.
                    • Protection of minors: Refined content, blocking in specific scenarios, anti-addiction measures, and identification of misleading content.
                    • Government and EnterpriseCompliance of government affairs content and filtering of sensitive information.
                    • financeFinancial fraud identification, false advertising interception, and compliance auditing.
                    • MedicalVerification of the authenticity of medical information and identification of false medical advertisements.
                    • advertiseAdvertising law compliance verification, intent insight and value orientation.
                    • Academic EducationEducational content security, academic integrity, and refined review of K-12 scenarios.
                    • publishingPublication content compliance and copyright protection.
                    • Short Drama ComicsScript content review, visual compliance, and value orientation.
                    • Enterprises going globalCross-border compliance: To cope with the complex international compliance environment, achieve multilingual and cross-cultural compliance, and adapt platform rules.
                    • AIGC New Media Operations:AIMedia operations comply with advertising laws, and undergo compliance verification, intent insight, and value orientation.
                    • Virtual human/digital human interactionReal-time control of interactive content, mandatory identity verification for digital humans, and protection of portrait rights and voiceprints.
                    • Virtual Reality and the MetaverseDigital asset and 3D space security, virtual environment compliance, and deep interaction monitoring.
                    • Market growth:based onLarge ModelThe third-party content risk control market for technology has a compound annual growth rate of over 30% and is projected to reach 9.37 billion yuan by 2030.
                    • Technological paradigm upgradeFrom traditional manual/rule-based review to...AInative+Large Model"Driven"intelligentThe risk control system has undergone a leap forward.
                    • AIGC becomes the core battleground:Large ModelInput/output security, hallucination detection,Prompt wordsAttack and defenseAIGC tracing has become a technological high ground in the industry.
                    • Full life cycle closed loopContent risk control covers the entire lifecycle of model training, product launch, and operation, achieving "source immunity - compliance foundation - dynamic defense".
                    • Scene boundaries extend infinitelyIt is penetrating from the general internet to all scenarios, including finance, healthcare, education, overseas expansion, virtual humans, and the metaverse.
                    • Head concentration effectNetEase Smart Enterprise - YiDun leads with a 43.7% market share.Large ModelIn the content risk control sector, the benchmark effect is significant.

                    Scan the QR code to follow our official WeChat account and reply with the following code:20260618,freeGet PDF report