社会服务行业：回暖动能持续增强，细分领域机遇凸显－2025年三季度业绩综述

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The market by value in this report is defined as the revenues that enterprises gain from goods and/or services sold within the specified market and geography. • Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market by value in this report is defined as the revenues that enterprises gain from goods and/or services sold within the specified market and geography. • The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

Insurance analytics involves the use of data analysis and statistical techniques to gain insights into the insurance industry. It helps insurers make informed decisions, assess risks, detect fraudulent activities, and enhance overall operational efficiency. This technology leverages data from various sources, including customer information, claims data, and market trends, to optimize underwriting, pricing, and claims processing activities.

Global predictive AI in stock market encompasses the application of advanced computational technologies, including machine learning, deep learning, and natural language processing, to analyze vast and complex financial datasets. This technology processes historical price data, corporate filings, macroeconomic indicators, and real time news sentiment to identify patterns and forecast future stock price movements, market trends, and volatility. The primary objective is to generate data driven, actionable insights that enhance algorithmic trading strategies, optimize portfolio management, and improve risk assessment frameworks. This market represents a significant shift from traditional technical and fundamental analysis toward more sophisticated, automated, and probabilistic models for investment decision making.

Predictive AI in retail market refers to the application of advanced analytical technologies, including machine learning, statistical algorithms, and data mining, to analyse historical and real time data. The primary objective is to forecast future events, consumer behaviours, and market trends with a high degree of accuracy. This technology enables retail organizations to transition from a reactive to a proactive operational stance by anticipating outcomes related to sales, inventory requirements, and customer preferences. By processing vast datasets that encompass transaction histories, customer interactions, and external market factors, predictive AI provides actionable insights. These insights empower retailers to make informed, data driven decisions across various functions such as merchandising, supply chain management, marketing, and customer service, ultimately aiming to enhance operational efficiency, minimize risks like overstocking or stockouts, and personalize the customer journey to foster loyalty and drive revenue growth.

The market by value in this report is defined as the revenues that enterprises gain from goods and/or services sold within the specified market and geography. • Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The global agentic AI for financial services market encompasses intelligent systems and platforms capable of autonomous action to achieve complex, predefined objectives within the financial industry.

The global AI servers in financial services market encompasses the specialized high performance computing infrastructure, including hardware, software, and integrated solutions, designed to execute artificial intelligence and machine learning workloads within the financial industry. These servers are characterized by advanced processing units, such as GPUs and other AI accelerators, high bandwidth memory, and low latency networking capabilities. They are engineered to manage and process the immense volumes of data required for training sophisticated algorithms and deploying AI models at scale.