When generative AI continues to redefine digital workflows across industries, LigendWeb’s ‘AI Global Report: Global Sector Trends On Generative AI’ (ending May 9, 2025) Offers a comprehensive snapshot of changing user engagement patterns. The data-driven report highlights the remarkable growth of coding agents, disruptive influences on Edtech and an unexpected downturn in legal AI platforms. Here are five finds that stand out from the report’s multis -sectoral analysis.
1. AI-driven coding tools witnessed sustained momentum
Among the highest priesting categories, Devops & Code Completion Tools registered a 75% year-over-year (yoy) increase in traffic. This growth reflects increasing developer uptake of AI assistants that support code generation, error detection and workflow automation.
Two platforms stand out: LovableWith a remarkable 207% yoy growthand Markerthat recorded one 62% increase. These tools win traction because of their ability to integrate seamlessly with ideas and devops pipes, reducing cognitive overhead of developers and improving the speed of iterative software technical environments.
2. General LLMs disturb traditional Edtech models
Chat -based LLMs such as Openais ChatgptAt Deepseekand GROK has emerged as central tools for self-managed learning and on-demand guidance. Especially Deepseek experienced exponential traffic tips – at a time that surpasses 17,000% yoy growth—For moderation in May.
This wave coincides with a significant fall in traditional educational platforms. The Edtech Category experienced one 24% yoy traffic dropWith older players Chegg and Course hero To send sharp fall of -62% and -68%respectively. The data suggests that LLMs effectively displace static storage sites with conversation, real-time education support — Issky for Voice and Writing Tasks.
3. Legal AI tools Enter a downturn in the middle of the use of use
In contrast to the buoyancy of coding tools, Legal AI segment faced a significant contraction with a 73% yoy drop in traffic. This decline can reflect saturation in a niche market where generative AI’s value proposition-collection composition, legal draft, compliance with automation is not ripe for robust, corporate installations.
The data implies that although the early interest in legal AI was strong, retention remains and continues to use challenges. Legal practitioners may have wider adoption until tools show better adaptation with the real world of legal reasoning, jurisdiction and audit requirements.
4. Video Generation Tools Supplies Mixed Signals
The Video Generation Sector showed only one -5% yoy change Generally, but these average masks notable platform -specific deviations. Kling.ai and RUNWAYML so traffic fall of 5% and 15%while Heygen recorded one 25% increase—Lay can be attributed to its focus on solving specific cases of commercial use, such as synthetic avatars for business communication.
This divergence emphasizes a broader trend: Video synthesis platforms that do not address a clear market needs or lack intuitive UI/UX are struggling to maintain user interest. In contrast, those adapted to the company’s storytelling or content automation sees more durable commitment.
5. Freelance platforms feel pressured from AI -Automatization
The report also highlights one 17% YOY APPLICATION In traffic to Digital Freelance platforms. Fiverr and UpWork were especially affected down, down 15% and 19%respectively. The underlying driver appears to be generative AI’s growing ability to automate traditionally freelance-driven tasks copy, basic design, SEO analysis and transcription-dermmed change demand away from manual labor.
The freelance economy may be entering a transitional phase where success depends on human-ai collaboration. Freelancers who adapt by offering AI-enhanced services or specializing in domains that require nuanced judgment can find new opportunities when others contract.
Conclusion
Ligend Webs ‘AI Global Report: Global Sector Trends on Generative AI’ Eseals a Bifurcation in Generative AI Adoption: Platforms that address domain-specific challenges with measurable productivity gains icing in development and operations-thrives. In contrast, tools that either lack differentiation or have not yet shown practical reliability witness wear.
As AI continues to integrate deeper into professional tool chains, user engagement is increasingly driven by clarity in the purpose and return on investments. This is not just a technological shift – it is a redefinition of digital productivity landscapes across sectors.
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Sana Hassan, a consultant intern at MarkTechpost and dual-degree students at IIT Madras, is passionate about using technology and AI to tackle challenges in the real world. With a great interest in solving practical problems, he brings a new perspective to the intersection of AI and real solutions.
