Innovation Europe coverage from 欧洲商业评论.
EPO 2025 patent data shows that Europe barely leads in total AI patent applications, but the United States is closing in fast with double-digit growth. Quantum computing, segmented AI fields, and energy challenges together will determine the future of Europe's digital sovereignty.
The latest data from the European Patent Office shows that Europe is barely maintaining its lead in AI patents, but the United States is accelerating its pursuit. Competition in the fields of quantum computing and semiconductors is reshaping the global technology landscape, which is crucial to Europe's strategic autonomy.
The global deep technology market is expected to reach $13.85 billion by 2034, with a compound annual growth rate of 19.72%. How Europe establishes strategic autonomy in this industrial transformation has become a key proposition.
Based on the European Patent Office's 2025 Technology Dashboard, this provides an in-depth analysis of Europe's competitiveness in artificial intelligence and quantum computing, sub-field dynamics, corporate landscape, and energy challenges, revealing the true picture of Europe's digital strategic autonomy.
Based on the EPO 2025 Technology Dashboard, analyze Europe's competitiveness shifts, innovation landscape, and digital sovereignty challenges in the fields of AI and quantum computing patents.
Based on the EPO Technology Dashboard 2025 data, analyze Europe's patent competition landscape in the fields of AI, quantum computing, and computer technology, revealing its advantages and hidden concerns in the digital sovereignty race.
With the development of AI search and generative AI, the international news distribution industry is shifting from traditional press release distribution to AI visibility distribution, and companies are beginning to focus on the discoverability of information in search engines and AI systems.
Based on the European Patent Office's 2025 technology dashboard data, analyze computer technology patent trends and explore Europe's competitiveness in AI and quantum computing as well as its implications for digital sovereignty.
Based on EPO 2025 computer technology patent data, analyze Europe's competitive position, innovation ecosystem, and digital sovereignty challenges in the fields of artificial intelligence and quantum computing.
As AI Search and generative AI reshape the way information is accessed, corporate communications are shifting from media exposure to building information discoverability. Veerixa has launched its AI Visibility Distribution service, exploring new models that combine news distribution, multilingual communication, and AI visibility verification.
This article analyzes the new trends in Europe-Korea deep tech cooperation reflected by NextRise 2026, exploring how European research capabilities and Korea's commercialization speed form strategic complementarity, as well as the potential impact of this partnership on Europe's innovation ecosystem and the global technology competition landscape.
The US CHIPS Act allocates $500 million for semiconductor materials R&D, highlighting the critical role of materials science in chip manufacturing autonomy. If the European semiconductor strategy neglects the materials ecosystem, it may repeat the mistake of supply chain dependence.
Venture capital investment in European biotechnology startups is expected to reach a record high, but the gap with the United States remains huge. This article analyzes financing trends, policy responses, and the competitive challenges facing Europe's innovation ecosystem.
Tokyo Electron (TEL) won the 2026 AI Semiconductor Manufacturing Solutions Award for its 3D integration and AI manufacturing technologies. This event highlights Asia's leading position in advanced packaging, posing competitive pressure on Europe's semiconductor strategic autonomy.
The European AI industry is shifting from pursuing model capabilities to building trust infrastructure. EU regulations, corporate security needs, and digital sovereignty strategies are jointly driving this transformation, with trust-layer companies becoming the new winners.
Analyze the structural risks of Europe's dependence on US technology in the AI field, as well as the policy and industry responses around technological sovereignty at the G7 and VivaTech conferences.
As the global AI race shifts from foundational models to enterprise deployment, Europe is leveraging its deep expertise in complex systems such as manufacturing, logistics, and energy to showcase its ambition to dominate the AI production phase at VivaTech 2026.
This in-depth analysis interprets the global divergence effects of the AI economy from a European perspective: when computing power, chips, data centers, and software profits are concentrated in a few countries and companies, Europe faces not only pressure from job displacement, but also a long-term test of its position in the industrial chain, the stability of its tax base, and its capacity for strategic autonomy.
Kawasaki Heavy Industries has established a Physical AI development center in Silicon Valley and is joining hands with NVIDIA, Microsoft, Analog Devices, and Fujitsu to advance the integration of robotics and AI. This is not only a corporate collaboration, but also reflects how the global manufacturing industry is moving from "software intelligence" to "embodied intelligence," carrying implications for Europe’s industrial competitiveness, supply chain resilience, and innovation ecosystem.