Whether searching for a resource on Google or looking for a particular favourite food from within an app, the presence of AI-powered searches is perceived nearly everywhere. From specialised AI search engines to advanced platforms designed to replace conventional search engines, the way information is discovered is being reshaped.
So, what about AI-powered searches geared towards enterprises?
The AI Business Trends 2025 report by Google sheds light on how AI has changed how the world discovers information and the benefits of enterprise search.
Enterprise Search Market to Experience a Surge in Growth
The enterprise search market size is set to reach $12.9 billion by 2031.
As per the Google report, the advanced AI-powered search capabilities now let users seek information in a way that mirrors how they naturally experience the world.
The AI-driven search tech includes site search, product search, and customer support self-service search. This is helping organisations enrich and optimise product data catalogues, save significant manual work, and improve conversion and cross-selling efficiency.
Prominent companies are already adopting AI-based search capabilities.
“Snap (Snapchat) deployed the multimodal capability of Gemini within their ‘My Al’ chatbot and has since seen over 2.5 times as much engagement within Snapping to My Al in the United States,” the report stated.
Not just limited to tech companies, hospitals like the Mayo Clinic have also benefited from such capabilities and have given thousands of its scientific researchers access to 50 petabytes worth of clinical data through Vertex AI search, facilitating information access across multiple languages.
Benefits of AI-Powered Search for Enterprise
Advanced search tools provide immense value to businesses. The report highlights three separate benefits: faster access to data, advanced and intuitive searches, and deeper AI-powered insights.
Regarding data access, enterprise search can help employees quickly and efficiently find and utilise internal data, boosting productivity. This should help them with more informed decision-making.
When it comes to intuitivity, users and employees can use complex queries and process various data formats (documents, spreadsheets, and multimedia) to get relevant information. One can replace multiple tools with the help of AI-powered searches.
The report highlighted that integrating AI agents with enterprise search will elevate knowledge retrieval significantly. These agents are capable of accessing and analysing company data, executing complex tasks, and providing valuable recommendations.
Meanwhile, Aashima Gupta, global director of healthcare strategy and solutions at Google Cloud, said, “We expect to see greater adoption of intuitive, contextual search that understands medical terminology, complex vocabulary, and abbreviations—helping relieve administrative burdens for medical professionals while improving patient education and research.”
Furthermore, Zac Maufe, managing director of regulated industries at Google Cloud, said, “We expect to see more financial institutions prioritising robust internal knowledge search for their employees, tailored to their specific roles. For example, a loan officer would receive different results than a risk analyst when searching for information about a particular loan application.”
“We expect GenAl will continue to transform search in retail, allowing customers to find products using natural language, images, or voice commands to deliver higher quality search results,” said Paul Tepfenhart, director of global retail strategy and solutions at Google Cloud.
Hence, it appears that the AI-powered search will impact industries, including finance, retail, and healthcare and life sciences.
The benefits of AI-powered search also extend beyond the enterprise. Companies that adopt these tools deliver new levels of service and support to their customers.
For instance, Moody’s Corporation uses LLMs from Google Cloud to help employees sift through public documents and the firm’s database to write analyses. This not only improves employee efficiency but also enhances the quality of service provided to Moody’s clients.
Evolution of Search and the Path Forward
Building a robust search system is a complex task, whether it is for Google or any other company.
The report states that before generative AI, enterprise search systems were keyword-based and often delivered irrelevant results, leading to frustrating user experiences. Going forward, businesses can integrate LLMs into their legacy systems to improve search accuracy and relevance.
While building AI-powered search systems can be challenging, companies like Google are trying to make it easier. These solutions remove the complexity from search systems, making it easier for companies to implement and benefit from AI-powered search.
AI-powered search is revolutionising how businesses operate and interact with their customers. By making knowledge discovery faster, more intuitive, and more relevant, AI transforms enterprise search into a powerful tool for innovation, growth, and enhanced customer service. As AI technology continues to evolve, we can expect more drastic changes.
