Googleの2025年振り返り：8つの分野における研究ブレークスルー

Google's year in review: 8 areas with research breakthroughs in 2025

This was a year of AI agents, reasoning and scientific discovery.

Jeff Dean Chief Scientist Demis Hassabis CEO, Google DeepMind James Manyika SVP, Research, Labs, Technology & Society Read AI-generated summary General summary

In 2025, Google made significant AI research breakthroughs with models like Gemini 3 and Gemma 3. These advancements improved AI's reasoning, multimodality, and efficiency, leading to new products and features across Google's portfolio. Expect more AI-driven innovations in science, computing, and tools for global challenges as Google prioritizes responsible AI development and collaboration.

"Google's year in review: 8 areas with research breakthroughs in 2025" highlights AI advancements and more.

Gemini 3 models showed big leaps in reasoning, multimodality, efficiency, and creative abilities.

AI is transforming Google's products, from Pixel 10 to Search, with agentic capabilities.

AI is boosting science, from genomics and healthcare to math, coding, and quantum computing.

Google is prioritizing AI safety, collaboration, and addressing global challenges like climate change.

Basic explainer

Google had a super productive year with AI research. They made their AI models way better at thinking and understanding things. Google also made AI more useful in everyday products and helped people be more creative. Plus, they used AI to make big steps in science and to tackle global problems.

Explore other styles:

General summary

Basic explainer

Your browser does not support the audio element.

2025 has been a year of extraordinary progress in research. With artificial intelligence, we can see its trajectory shifting from a tool to a utility: from something people use to something they can put to work. If 2024 was about laying the multimodal foundations for this era, 2025 was the year AI began to really think, act and explore the world alongside us. With quantum computing, we made progress towards real-world applications. And across the board, we helped turn research into reality, with more capable and useful products and tools making a positive impact on people's lives today.

Here’s a look back at some of the breakthroughs, products and scientific milestones that defined the work of Google, Google DeepMind and Google Research in a year of relentless progress.

Delivering breakthroughs on world-class models

This year, we significantly advanced our model capabilities with breakthroughs on reasoning, multimodal understanding, model efficiency, and generative capabilities, beginning with the release of Gemini 2.5 in March and culminating in the November launch of Gemini 3 and the December launch of Gemini 3 Flash.

Built on a foundation of state-of-the-art reasoning, Gemini 3 Pro is our most powerful model to date, designed to help you bring any idea to life. It topped the LMArena Leaderboard and redefined multimodal reasoning with breakthrough scores on benchmarks like Humanity’s Last Exam — a fiendishly hard test for AI models to see if AI can truly think and reason like humans — and GPQA Diamond. It also set a new standard for frontier models in mathematics, achieving a new state-of-the-art of 23.4% on MathArena Apex. We followed shortly with Gemini 3 Flash, which combines Gemini 3's Pro-grade reasoning with Flash-level latency, efficiency and cost, making it the most performant model for its size. Gemini 3 Flash's quality surpasses our previous Gemini 2.5 Pro-scale model's capabilities at a fraction of the price and substantially better latency, continuing our Gemini-era trend of 'the next generation's Flash model is better than the previous generation's Pro model'.

Learn more about our progress on our world-class AI models this year:

Gemini 3 Flash: frontier intelligence built for speed (Dec 2025)

A new era of intelligence with Gemini 3 (Nov 2025)

Introducing Nano Banana Pro (Nov 2025)

Introducing Veo 3.1 and new creative capabilities in the Gemini API (Nov 2025)

Gemini 2.5: Our most intelligent AI model (March 2025)

Gemini 3 Flash price & benchmark table.

We’re committed to making useful AI technology accessible, with state-of-the-art open models. We built our Gemma family of models to be lightweight and open for public use; this year we were able to introduce multimodal capabilities, significantly increase the context window, expand multilingual capabilities, and improve efficiency and performance.

Learn more about this year’s advances in Gemma models:

Introducing Gemma 3: The most capable model you can run on a single GPU or TPU (March 2025)

Introducing Gemma 3 270M: The compact model for hyper-efficient AI (Aug 2025)

Innovating and transforming our products with AI

Throughout 2025, we continued to advance the trajectory of AI from tool to utility, transforming our portfolio of products with new, powerful agentic capabilities. We reimagined software development by moving beyond tools that assist coding to introducing powerful, agentic systems that collaborate with developers. Key advances, such as the impressive coding capabilities in Gemini 3 and the launch of Google Antigravity, mark a new era in AI-assisted software development.

Learn more about this year’s advances building developer tools:

Start building with Gemini 3 (Nov 2025)

Introducing Google Antigravity, a New Era in AI-Assisted Software Development (Nov 2025)

This evolution was also clear across our core products, from AI-enabled features on the Pixel 10 and updates to AI Mode in Search like generative UI, to AI-first innovations like the Gemini app and NotebookLM, which gained advanced features like Deep Research.

Learn more about how we’ve transformed our products with AI:

9 ways AI makes Pixel 10 our most helpful phone yet (Aug 2025)

Expanding AI Overviews and introducing AI Mode (March 2025)

Gemini 3 brings upgraded smarts and new capabilities to the Gemini app (Nov 2025)

NotebookLM adds Deep Research and support for more source types (Nov 2025)

Generative UI: A rich, custom, visual interactive user experience for any prompt (Nov 2025)

Empowering creativity and co-creating with AI

2025 was a transformative year for generative media, giving people new and unprecedented capabilities to realize their creative ambitions. Generative media models and tools for video, images, audio and worlds became more effective and broadly used, with breakouts Nano Banana and Nano Banana Pro offering unprecedented capabilities for native image generation and editing. We worked with people in creative industries to develop tools like Flow and Music AI Sandbox, making them more helpful for creative workflows, and we expanded creative possibilities for people with new, AI-powered experiences in the Google Arts & Culture lab, major upgrades to image editing within the Gemini app, and the introduction of powerful new generative media models like Veo 3.1, Imagen 4 and Flow.

Learn more about how we’re building AI to enhance creativity:

Art, science, travel: 3 new AI-powered experiences this holiday season (Nov 2025)

Introducing Veo 3.1 and advanced capabilities in Flow (Oct 2025)

Nano Banana: Image editing in Gemini just got a major upgrade (Aug 2025)

Veo 3, Imagen 4, and Flow: Fuel your creativity with new generative media models and tools (May 2025)

Music AI Sandbox, now with new features and broader access (April 2025)

As research breakthroughs continue to expand AI’s capabilities, Google Labs is where we share AI experiments as we develop them – hearing from users and evolving as we learn. Some of this year’s most engaging experiments from Labs: Pomelli, an AI experiment for on-brand marketing content; Stitch, which introduced a way to turn prompt and image inputs into complex UI designs and frontend code in minutes; Jules, an asynchronous coding agent that acts as a collaborative partner for developers; and Google Beam, a 3D video communications platform that used AI to advance the possibilities of remote presence.

Learn more about how we’re experimenting in Labs:

Create on-brand marketing content for your business with Pomelli (Oct 2025)

Google Beam: Our AI-first 3D video communication platform (May 2025)

From idea to app: Introducing Stitch, a new way to design UIs (May 2025)

Build with Jules, your asynchronous coding agent (May 2025)

Advancing science and mathematics

2025 was also a banner year for scientific advances with AI, marked by breakthroughs in life sciences, health, natural sciences, and mathematics.

In the space of a year, we made progress in building AI resources and tools that empower researchers and help them understand, identify, and develop treatments in healthcare. In genomics, where we’ve been applying advanced technology to research for 10 years, we moved beyond sequencing, using AI to interpret the most complex data. We also marked the 5-year anniversary of AlphaFold, the Nobel-winning AI system that solved the 50-year-old protein folding problem. AlphaFold has been used by over 3 million researchers in more than 190 countries, including over 1 million users in low- and middle-income countries.

Learn more about how we’re using AI to advance life sciences and health:

AlphaFold: Five years of impact (Nov 2025)

Using AI to identify genetic variants in tumors with DeepSomatic (Oct 2025)

AI as a research partner: Advancing theoretical computer science with AlphaEvolve (Sept 2025)

AlphaGenome: AI for better understanding the genome (June 2025)

Accelerating scientific breakthroughs with an AI co-scientist (Feb 2025)

Gemini’s advanced thinking capabilities, including Deep Think, also enabled historic progress in mathematics and coding. Deep Think was able to solve problems that require deep abstract reasoning – achieving gold medal-standard in two international contests.

Learn more about how we’re advancing natural sciences and mathematics:

Gemini achieves gold-medal level at the International Collegiate Programming Contest World Finals (Sept 2025)

Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the International Mathematical Olympiad (July 2025)

Shaping innovations in computing and the physical world

We’re also leading major discoveries and shaping the future of science in areas like quantum computing, energy and moonshots. Research in this area drew new levels of public attention, with progress towards real-world applications of quantum computing as demonstrated by Quantum Echoes and, notably, Googler Michel Devoret becoming a 2025 Physics Nobel Laureate along with former Googler John Martinis and UC Berkeley’s John Clarke, for their foundational 1980s quantum research.

Learn more about our work on space infrastructure and quantum computing:

Project Suncatcher: Exploring a space-based, scalable AI infrastructure system design (Nov 2025)

Googler Michel Devoret awarded the Nobel Prize in Physics (Oct 2025)

Our Quantum Echoes algorithm is a big step toward real-world applications for quantum computing (Oct 2025)

In 2025, we continued to advance the core infrastructure that powers our AI, focusing on breakthroughs in hardware design and improving energy efficiency. This included the introduction of Ironwood, a new TPU built for the age of inference, which was designed using a method called AlphaChip, alongside a commitment to measuring the environmental impact of our technology.

Learn more about how we’re using AI to develop chips, infrastructure and improve energy efficiency:

3 things to know about Ironwood, our latest TPU (Nov 2025)

How much energy does Google’s AI us