If 2024 is a year of AI’s general progress, then 2025 will become a year of professional AI system. These dedicated solutions are called vertical AI agents, combining advanced AI functions with professional knowledge in deep fields to deal with challenges in the industry. McKinsey estimates that more than 70 % of the total value of AI will come from these vertical AI applications. Gartner predicts that by 2026, more than 80 % of companies will use vertical AI. This article discusses how the vertical AI agent reshapes industry intelligence and paved the way for business innovation.
From general to professional AI
If you take a step back and look at the greater understanding of technological evolution, then the transformation from general AI to AI -specific AI is nothing new. It reflects similar trends we have seen before. For example, in the early days of corporate software, platforms such as SAP and Oracle provided extensive functions and needed extensive customization to meet unique business needs. Over time, suppliers have launched tailor -made solutions, such as Salesforce Health Cloud for HealthCare or Microsoft Dynamics 365 retail, which provides a preparation function designed for specific industries.
Similarly, AI initially focused on universal functions, such as pre -training models and development platforms, which provided the foundation for building advanced solutions, but a large number of customs need to develop applications specific to the industry.
The vertical AI proxy is facing this gap. Solutions such as HealthCare’s Pathai, retail Vue.ai, and Feedzai give corporate capabilities, have high accurate and effective tools, and are designed specifically to meet their needs. Gartner predicts that compared with the universal AI organization, the organization using vertical AI to see a 25 % return on investment (ROI). The figure highlights the effectiveness of vertical AI in dealing with unique industry challenges.
Vertical AI: The next level of AI democracy
The rise of vertical AI agents is essentially the next important step of the industry to get AI. In the early days, due to the high cost and professional knowledge required, the development of AI was developed, and it was limited to large companies and research institutions. Since then, cloud platforms such as AWS, Microsoft Azure and Google Cloud have more affordable scalable infrastructure. Pre -training models such as OPENAI’s GPT and Google Gemini allows companies to fine -tune AI specific needs without deep technical expertise or large data sets. Low -code and non -code tools such as Google Automl and Microsoft Power Platform further make AI even access non -technical users. By providing tools for pre -allocation of specific industries, vertical AI reduces customized work and provides better and more effective results, thereby increasing this accessibility to a new level.
Why is the vertical AI market that is one billion US dollars
Vertical AI may redefine the industry as in the past, just like Software Services (SaaS). Although SaaS enables the software and accessible, the vertical AI can be automated by the entire workflow. For example, although the SaaS platform such as Salesforce has improved customer relationship management, vertical AI agents can further identify sales opportunities and recommend personalized interaction.
By taking over repeated tasks, vertical AI allows enterprises to use its resources more effectively. For example, in manufacturing, vertical AI agents can predict equipment failures, optimize production plans, and enhance supply chain management. These solutions not only improve efficiency, but also reduce labor costs. In addition, vertical AI agents are seamlessly integrated with proprietary tools and workflows, which greatly reduces the efforts required for integration. For example, in retail, vertical AI like Vue.ai directly integrates with e -commerce platforms and CRMS to analyze customer behavior and recommend personalized products, thereby reducing integration work to the greatest extent, while improving efficiency. In addition, vertical AI agents are designed as working in a specific regulatory framework, such as Basel III in finance or HIPAA in medical care to ensure that enterprises can damage AI to use AI on industry standards or moral AI requirements.
Therefore, it is not surprising that the vertical AI market is worth $ 5.1 billion in 2024. It is expected to reach $ 47.1 billion by 2030, and it may exceed $ 100 billion by 2032.
Vertical AI Agent: Car AI Agent
Google Cloud recently launched vertical AI agents designed for the automotive industry. These tools are called automobile AI agents, which aims to help car manufacturers create intelligence and can customize car assistants. Automotive manufacturers can customize agents by defining unique wake -up words, integrating third -party applications and adding proprietary features. These agents and vehicle systems and Android Automotive OS integration provides functions such as voice control navigation, free media playback and predictive insights.
Mercedes-Benz uses Google Cloud’s car AI agent for its MBUX virtual assistant and debuted in the new CLA model. This enhanced assistant provides dialogue interaction, personalized suggestions, active help and precise navigation. By achieving the exemption operation, these agents can improve security and meet different user needs, thereby showing the potential of vertical AI in the revolutionary industry.
The way forward: challenges and opportunities
Although vertical AI agents have huge potential, they are not without challenges. Integrating these systems into an enterprise may be a challenging task, which is due to traditional systems, data islands and resistance to changes. In addition, it is not easy to build and deploy vertical AI agents because it requires a rare combination of AI professional knowledge and the skills specific in the industry. The company needs to understand the technical team and industry’s specific needs.
As these systems play a greater role in the critical process, moral use and human supervision are essential. The industry will need to formulate moral guidelines and governance frameworks to keep up with technology.
In other words, vertical AI provides huge opportunities. With the combination of high -level AI and professional knowledge, these agents will become the cornerstone of commercial innovation in 2025 and later.
The front road
The rise of vertical AI agents is an important moment for the intelligent development of the industry. By easily and perfectly solve the challenges in the industry, these systems may redefine the operation of enterprises. However, their successful adoption will depend on the integration challenges, establish cross -disciplinary professional knowledge, and ensure moral deployment.
As vertical AI continues to become attractive in 2025, it may reshape the industry and redefine business operations. The company that adopts these solutions as soon as possible will make themselves leaders in increasingly competitive markets.
