Precedence Research's latest forecast shows that the global generative AI server market will grow from US$101 billion in 2025 to approximately US$1.885 trillion in 2035, with a compound annual growth rate of 34%. This article analyzes the industrial implications of this structural reconstruction of computing infrastructure from four dimensions: supply chain, custom silicon competition, power constraints, and enterprise procurement strategies.
Algomatic Dynamics, a new company under the DMM Group, is starting with $32.5 million in first-round funding and plans to launch an AI multi-fingered robotic hand platform in Japan by the end of 2026, with its business spanning motion data collection, robot learning, and bipedal stability control.
The generative AI market size is expected to grow from USD 161.0 billion in 2026 to USD 1,260.15 billion in 2034, at a compound annual growth rate of 29.30%. North America leads with a 48.70% share, while Asia Pacific becomes the fastest-growing region. This article, based on a Fortune Business Insights report, provides insights into enterprise AI adoption trends, industry landscape, and investment directions.
According to the latest report from SNS Insider, the vertical-domain large language model market is expected to grow from $4.56 billion in 2025 to $88.45 billion in 2035, with a CAGR of 34.55%, reflecting the evolution of enterprise-level AI toward deep industry customization.
Based on the MERICS report, this provides an in-depth analysis of China's self-reliance efforts across the entire industry chain of AI chips, machine learning frameworks, and large language models, as well as their market impact and implications for the global industry landscape.
Based on the NVIDIA GTC 2026 keynote speech, this provides an in-depth analysis of the industrial impact of AI factories, agentic AI, and physical intelligence, including market impact, competitive landscape, and enterprise implications.
According to the latest report from MarketDataForecast, the European data center GPU market is expected to grow from $4.98 billion in 2025 to $60.83 billion in 2034, representing a CAGR of 32.05%. This article analyzes market drivers, the competitive landscape, and corporate response strategies.
Based on a global review of AI applications, this article analyzes enterprise-level AI use cases in healthcare, finance, retail, manufacturing, and other sectors, examines market impact and the competitive landscape, and provides strategic references for business decision-makers on AI implementation.
According to the latest market report, the global AI platform market is expected to reach $2.39 trillion by 2035, with a CAGR of 39.5%. This article analyzes market drivers, regional landscape, and corporate response strategies from an industry perspective.
Chinese startup Moonshot AI released Kimi K3, surpassing top US models in coding and agent tasks, raising doubts about US dominance in AI technology. Competition from open-source models intensifies, and geopolitical risks rise.
As the United States imposes export controls on Anthropic's models, AI sovereignty has become an unavoidable strategic issue for enterprises. This article analyzes full-stack control, emerging market response strategies, and the trend of global regulatory divergence, providing decision-making references for businesses.
This week, Korean AI startups raised over $120 million, led by Holiday Robotics' $103.4 million Series A, highlighting an investment boom in AI infrastructure, enterprise automation, and robotics. Meanwhile, South Korea and Saudi Arabia are exploring a joint deep tech fund, and vertical AI applications are accelerating deployment.
The deployment of AI in manufacturing faces challenges such as hallucinations and safety issues. Automation Intelligence provides a reliable path for industrial AI by introducing engineering constraints. This article analyzes its background, market impact, and implications for enterprises.
June 2026 marks the shift of AI governance from theory to operationalization, with three major control planes—model access, infrastructure capacity, and cybersecurity—becoming the new battleground for AI competition. This article provides an in-depth analysis of key events and their impact on the industry.
Samsung Electronics has deployed ChatGPT Enterprise and Codex to employees in South Korea and some international locations, covering approximately 125,000 people, making it one of OpenAI's largest enterprise customers. This move reflects the trend of enterprise AI moving from pilot trials to full integration, while also intensifying competition in the enterprise AI market.
This article provides an in-depth analysis of the implementation pathway of Agentic AI in the manufacturing industry, exploring how it transitions from data perception to autonomous decision-making, and offers an industry-level interpretation of the competitive landscape, infrastructure requirements, and future trends for enterprises.
VivaTech 2026 will focus on enterprise AI. European startups are shifting from foundational models to AI integration in vertical industries such as manufacturing, logistics, and healthcare. Investors are also beginning to emphasize actual ROI and compliance capabilities.
This week's three key AI developments: OpenAI Sites accelerates internal enterprise application development; Nvidia and Microsoft promote local AI inference; Nvidia Cosmos 3 ushers in a new era of physical AI. Analysis of the impact on enterprises and investors.
This week, the Korean AI startup ecosystem shows that corporate strategic investments are shifting from consumer-grade to industrial-grade AI infrastructure. AIM Intelligence has received investments from giants like LG and Hyundai; medical AI commercialization is accelerating, with Evom AI securing funding after regulatory approval; the government is promoting industrial policies such as the K-Food Smart Manufacturing Alliance.
PwC releases the Intelligent Enterprise framework, aiming to help enterprises shift from fragmented AI pilots to holistic intelligent operations. This article analyzes the framework's industry background, market impact, competitive landscape, and implications for enterprises, and looks ahead to the future path of enterprise-level AI.