Search results for: 'Analytics and AI in China'

This edition of the IT, Computing and Communication Technology Opportunity Engine explores growth in AI-driven intelligence, synthetic data, multi-modal AI, intelligent document processing, workflow automation, finance orchestration, compliance automation, embedded finance, cross-border payments, blockchain-enabled trade finance, tokenization, priv...

China's economy is poised for steady growth, projecting a 4.8% increase in GDP for 2024, following a 5.2% rise in 2023. This growth is supported by robust public investment, a resurgence in private consumption, and increased net exports. However, challenges such as an aging labor force, escalating debt levels, and geopolitical tensions around Taiwa...

03 Sep 2025  |  Asia Pacific  |  Market Research

Passenger Vehicle Autonomous Driving Market, China, 2024-2030

Navigate on Autopilot Accelerates the Shift Towards Autonomous Driving

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An autonomous vehicle requires either partial driver assistance or may achieve fully autonomous driving. These vehicles operate through the coordinated integration of artificial intelligence (AI), computer vision, radar systems, monitoring devices, and GPS.The autonomous driving market in China is experiencing rapid growth, with market penetration ...

18 Feb 2025  |  Global  |  Market Research

Shared Mobility Market, China, 2023-2030

Advanced Technologies are Driving Transformative Growth by Enhancing Travel Efficiency and Safety

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The shared mobility market in China is undergoing significant transformation, driven by advanced technologies that enhance efficiency and safety. This Frost & Sullivan report provides a comprehensive analysis of the shared mobility market in China, focusing on 4 key segments: ridehailing, ridesharing, bikesharing, and car rental. While ridehailing...

Disruptive AI models are increasingly challenging traditional assumptions about “classic” cloud data centers. As training clusters scale up to thousands of accelerators and consume tens of megawatts of power, the conventional CPU-centric, air-cooled, monolithic server model is no longer sustainable. This research study explores the megatrend of AI ...

As artificial intelligence moves from experimentation into the operational core of the enterprise, the demands placed on implementation and managed service providers are changing fundamentally. Early AI success was defined by proof points: models deployed, pilots completed, productivity gains demonstrated. Today, success is defined by durability: t...

Incorporating AI into mobile operator business operations offers clear advantages—automation, customer-centric services, and operational efficiency. However, these benefits come with challenges, including high implementation costs and data security risks. Strong support from C-level executives and boards can help operators overcome these obstacles....

AI technologies and platforms are entering a new stage of maturity. Most organizations now have access to capable models and have run pilots across multiple functions. The real question is no longer whether AI works, but where it can create sustained growth and how it can be scaled without introducing cost volatility, operational risk, or governanc...

This report examines the growing importance of AI governance platforms in enabling responsible and scalable artificial intelligence adoption, with a focused analysis of their applications and opportunities across interoperability, data privacy, and digital ethics. As organizations increasingly deploy complex AI systems, the need for structured gove...