Google: AI agents, multimodal AI, and enterprise search will dominate in 2025

If 2024 is about experiences, then 2025 will truly be the year of companies size Amnesty InternationalAccording to a new trends report released today from Google Cloud.

It is worth noting that advanced multimedia artificial intelligence will support more complex tasks than ever before. Amnesty International Agents It will be embedded across the organization, and internal search engines will unlock critical business insights.

Interestingly, Google has identified these trends using LM notebook To analyze data from Previous research studypulled out the fastest-growing AI topics in Google TrendsAnd connecting it to external research and insights.

“Moving forward, you’ll see different agents talking to different agents, almost to the point where we all fall asleep at the end of the evening, and there are a series of tasks and things and actions that happen behind the scenes.” Oliver Parker, vice president of global AI market at Google Cloud, told VentureBeat.

Businesses will move from chatbots to multi-agent systems

AI agents are able to operate autonomously (or semi-autonomously) and perform multi-step operations. according to CapgeminiOnly about 10% of large organizations actually use AI agents, but 82% plan to integrate them in the next three years.

Google identifies six types of Artificial intelligence agents:

• Customer agents who understand user needs, answer questions, solve problems, and recommend products and services. They work across channels and can integrate audio and video.
• Staff agents who help streamline processes, manage repetitive tasks, answer questions, edit, and translate.
• Creative agents who create content, images, and ideas to support design projects, marketing, writing, and other endeavors.
• Data agents who can help with data research and analysis by finding and acting on the data (while ensuring true integrity).
• Code agents that support code creation and provide code assistance.
• Security agents help mitigate attacks or increase the speed of investigations.

However, Parker noted that having multiple agents handling many processes across many functions can create a bit of chaos, which will lead to the emergence of new platforms, he predicts.

“Being able to have a single dashboard to manage and enable your agents is where we think there will be a huge opportunity,” he said. This will lead to “agent governance,” or the need for an agent layer that supports “different agents going everywhere and working across all these different systems.”

Multimodal AI will provide more context

The global multimedia artificial intelligence market was estimated at $2.4 billion in 2025It is expected to reach $98.9 billion by the end of 2037.

Multimodal AI takes the understanding of AI to the next level, allowing models to decode and process a range of data sources, including not just text, but images, video and audio. Many leading vendors and cutting-edge startups already offer highly capable multimedia tools – for example, Google’s own tools Gemini 2.0 Flash, Mistral Pextral 12 b or Coherence embed 3.

Google expects the explosion of multi-modal AI to power complex data analysis and lead to more grounded and more personalized insights.

Besides, companies will be multi-paradigm when they adopt AI. Parker noted that the conversations have moved from organizations adopting one model to deploying multiple instances for different use cases. “It’s not just an OpenAI model,” he said. “He’s also a Gemini, he’s a human, he’s a Mistral, he’s a kohir, he’s a llama.”

Parker noted that it has been a rapid development over the past 12 months. Companies have moved beyond just looking at models to analyzing different platforms and developing roadmaps for AI and AI agents. While much of the focus up to this point has been on development, the goal in 2025 will be to put general AI capabilities into the hands of enterprise users.

“The first half of 2024 was heavy, intense testing, but not a lot of production,” Parker said. Now, companies are starting to move into production, although they are not yet producing on a large scale (more of that to come in 2025).

“These are trends you typically see over several years,” he said. “We’ve just seen them so compressed over 12 months. It’s breathtaking.”

We will finally be able to unleash the power of enterprise search

Google expects that enterprise search — powered by internal search engines that query specific enterprise data — will become easier with AI. This won’t just be limited to keyword-based queries; Employees will be able to use images, audio, video, and conversational prompts to quickly access internal data. This will allow for more advanced and intuitive searches, Parker noted, and the AI ​​generation can process different data formats such as documents, spreadsheets and multimedia.

“It’s not just search, it’s search plus conversational AI,” Parker said. “People’s jobs are really about finding information and putting it together so they can get insights and take action.”

He noted that many organizations have different information stored across different applications — whether it’s a coding system, Jira, Confluence, Box, or platforms like SharePoint or Service Now.

AI research can move quickly through these elements to bring data together. “These systems thinking are able to search across an organization’s systems,” he said. “So how do you query and find out what’s happening across your organization, across all of your systems, and then start applying agents to take action on it?”

Yes, here too, AI agents will play a big role. “We’re seeing a convergence of conversational and agent-based capabilities combined with search within organizations,” Parker said.

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