In 2023, platform-centric decision-making AI accounted for ** percent of the market in China. However, by 2029 platform-based decision-making AI was anticipated to have a market share of ** percent. In addition, according to the forecast, decision-making AI was anticipated to become more important and have a market share of almost ** percent by 2029.

China's main stock market index, the SHANGHAI, fell to 3898 points on December 2, 2025, losing 0.42% from the previous session. Over the past month, the index has declined 1.98%, though it remains 15.36% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

AI-powered marketing solutions, such as AI shopping assistants, can deliver a personalized shopping experience by integrating customer preferences and past purchase data. In a 2025 survey conducted in China, almost ******* of respondents who were AI app users had made used AI-powered marketing services or content to save time to finding the right products.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

A50: China's Stock Market Enigma

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This document is the appendix for the paper Investment Decision-Making in Chinese Stock Market Based on Real-Time Bubble Monitoring Strategy.

The China Decision Intelligence market will grow at 16.09% CAGR, led by Generative AI integration and government-backed tech adoption.

USD 839.1 Million in 2024; projected USD 1547.29 Million by 2033; CAGR 7.02%.

In 2022, Beijing Fourth Paradigm Technology had a market share of **** percent in the Chinese platform-centric decision-making AI market. In 2023, non-platform-centric decision-making AI accounted for almost ** percent of the industry.

The Chinese protein bar market presents a compelling investment opportunity, driven by increasing health consciousness, rising disposable incomes, and a burgeoning fitness culture among urban consumers. While precise market sizing data for China is unavailable, extrapolating from global trends and considering the rapid growth of the overall Chinese health and wellness sector suggests significant potential. The market is segmented by confectionery variant (e.g., nut-based, fruit-based, etc.), with nut-based and fruit-based protein bars likely holding the largest share, appealing to a wider consumer base than those with more specialized formulations. Distribution channels are diverse, encompassing convenience stores, online retailers (e-commerce platforms like Taobao and JD.com play a major role), and supermarkets/hypermarkets. Major players are likely to be a mix of both international brands (already established in the broader Chinese food market) and domestic companies catering specifically to local tastes and preferences. Challenges include educating consumers about the benefits of protein bars (especially in less urban areas), navigating complex import regulations for international brands, and maintaining competitive pricing in a price-sensitive market. Successful companies will focus on product innovation, targeted marketing campaigns emphasizing health benefits and convenience, and building strong distribution networks capable of reaching a wide range of demographics. The projected Compound Annual Growth Rate (CAGR) for the global protein bar market suggests robust future growth in China. However, the actual CAGR for the Chinese market will depend on several factors, including government regulations regarding food additives and health claims, the evolving competitive landscape, and overall macroeconomic conditions. To successfully penetrate the Chinese market, companies must localize their products (adapting flavors and ingredients to suit local tastes), invest in effective marketing strategies that resonate with Chinese consumers, and prioritize building strong relationships with local distribution channels. Understanding consumer preferences and purchasing behavior is paramount, requiring extensive market research to inform product development and marketing decisions. Opportunities exist for specialized protein bars targeting niche consumer segments, such as those with specific dietary needs or fitness goals (e.g., vegan, ketogenic, high-protein). Recent developments include: December 2021: Beijing Happy Energy Health Technology Co. Ltd launched a new rose walnut-flavored protein bar featuring female-friendly ingredients, including fish collagen peptide, conifer cherry, red rose petals, walnuts, and red beet without the extra sugar.January 2021: Otsuka Pharmaceutical Co. Ltd launched the Soyjoy Green Tea & Macadamia snack bar. This new addition to the popular nut-flavored selection of Soyjoy brand soy nutrition bars is available nationwide.. Notable trends are: Strategic product positioning on the dedicated shelves made supermarkets/ hypermarkets and convenience stores lead together, making almost 75% share in 2023.

This research paper delves into the behavioral factors that have impact on decision making of Chinese investors in stock markets. As one of the world’s most dynamic and rapidly evolving financial landscapes, stock markets of China have witnessed significant growth and transformation in recent years. However, the role of behavioral biases in shaping investment decisions remains a relatively understudied aspect. Drawing upon a detailed review of studies, psychological theories, and empirical studies, this research explores various behavioral factors affecting the decision of investors at Beijing, Shanghai and Shenzhen stock markets. Through a structured questionnaire and by collecting a sample of 521 respondents, this paper investigates that herding, overconfidence, prospect, market, gamble’s fallacy, and anchoring-ability bias often lead investors to deviate from rational decision-making and contribute to market inefficiencies. While herding, prospect, and heuristic affect the investment performance in stock markets of China. Moreover, the research underscores the need for investor education programs and regulatory interventions that acknowledge the presence of behavioral biases and encourage more informed decision-making. By shedding light on these dynamics, it provides valuable insights for policymakers, financial institutions, and investors seeking to navigate the intricacies of this rapidly growing financial landscape.

Permutable AI’s China macroeconomic sentiment dataset captures real-time reactions to GDP releases, central bank decisions, inflation data, and fiscal policy measures. Built on multilingual NLP, the dataset transforms Chinese and international news into structured sentiment scores with five-minute refresh intervals. Geopolitical intelligence quantifies election outcomes, sanctions, and trade relations, including US–China tariff actions and regional policy coordination. Natural disaster monitoring provides supply chain impact scoring across energy, manufacturing, and agriculture, helping assess China’s economic resilience. With ten years of structured historical intelligence, the dataset supports backtesting strategies across China’s growth and market cycles, accessible through the Co-Pilot API with millisecond latency.

The China life and non-life insurance market exhibits robust growth, projected to maintain a Compound Annual Growth Rate (CAGR) exceeding 3% from 2025 to 2033. This expansion is fueled by several key drivers. A rising middle class with increasing disposable income is seeking financial security through insurance products. Government initiatives promoting financial inclusion and expanding social security coverage further stimulate market growth. Technological advancements, particularly in digital distribution channels like online platforms and mobile apps, are enhancing accessibility and convenience, attracting a wider customer base. The market segmentation reveals a dynamic landscape with life insurance and non-life insurance holding significant shares, while distribution channels like agency, banks, and direct sales contribute to overall market reach. Competition is fierce, with major players like China Life Insurance, China Ping An Insurance, and others vying for market share through product innovation and strategic partnerships. However, the market faces certain challenges. Regulatory changes and increasing scrutiny of insurance practices could impact profitability. The need for enhanced financial literacy among consumers remains a critical factor in driving broader market penetration. Economic fluctuations and potential shifts in consumer sentiment could also influence insurance purchasing decisions. Furthermore, maintaining sustainable growth requires addressing challenges related to fraud and efficient claim processing. Despite these headwinds, the long-term outlook for the China life and non-life insurance market remains positive, driven by sustained economic growth and increasing demand for risk mitigation and financial planning solutions. The market's evolution will be shaped by the interplay of these drivers, trends, and restraints, influencing the strategies employed by insurance companies to capture and retain market share. Given the substantial market size and projected growth, investment opportunities are substantial. Recent developments include: April 2022: China Life Insurance Co and Tokio Marine Newa Insurance Co have recently formed a partnership to cross-sell their insurance products. Under the partnership, China Life's 15,000 sales agents would receive training from Tokio Marine Newa for them to become licensed Tokio Marine sales agents. Once licensed, these sales agents can market Tokio Marine's non-life products, including motor, fire, and travel insurance to their clients., January 2022: AIA Group has completed its investment in China Post Life Insurance, receiving all necessary regulatory approvals to obtain a 24.99% stake in the Beijing-headquartered insurer.. Key drivers for this market are: Technological Advancements are Driving the Market, Demographic Shifts is Driving the Market. Potential restraints include: Technological Advancements are Driving the Market, Demographic Shifts is Driving the Market. Notable trends are: Digital Transformation is Driving the Market.

Snapshot img

Analytics Market Size 2024-2028

The analytics market size is forecast to increase by USD 286.5 billion at a CAGR of 15.06% between 2023 and 2028.

The market is experiencing significant growth due to several key factors. The increasing availability and complexity of data are driving market expansion, as organizations seek to gain insights from their data to make informed business decisions. Additionally, advances in natural language processing (NLP), machine learning, and artificial intelligence (AI) technologies are enabling more sophisticated data analysis and prediction capabilities. 
However, data privacy and security concerns remain a challenge, as organizations must ensure the confidentiality, integrity, and availability of their data. Overall, these trends and challenges are shaping the market and presenting opportunities for innovation and growth.

What will be the Size of the Analytics Market During the Forecast Period?

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The market is experiencing significant modernization, driven by the adoption of advanced technologies such as AI and orchestration. Discovery tools and innovation in manufacturing, healthcare, and science are catalyzing the need for more robust analytics solutions. Governance frameworks, privacy regulations, and security best practices are becoming essential components of the analytics landscape. Manufacturing and retail industries are leveraging advanced analytics tools for quality management, lifecycle management, and pipeline optimization. In healthcare, analytics is playing a crucial role in vaccine research and patient care, while in finance, predictive modeling and financial analysis are driving business decision-making. Businesses across industries are turning to advanced analytics platforms for customer relationship management, sales intelligence, and customer segmentation.
AI adoption is enabling personalized experiences, while virtualization and cloud-based analytics are streamlining operations. Governance, integrity tools, and migration to advanced analytics management platforms are critical for ensuring data accuracy and security. Advanced analytics is also being used for quality management, predictive modeling, and business process optimization in various sectors. Innovation in visualization tools, cataloging, and storytelling is making data more accessible and actionable for businesses, enabling them to gain valuable insights and make informed decisions. Overall, the market is evolving rapidly, with a focus on innovation, efficiency, and data security.

How is this Analytics Industry segmented and which is the largest segment?

The analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Component

  Services
  Software
  Hardware


End-user

  BSFI
  Manufacturing
  Retail
  Healthcare
  Others


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    India


  Middle East and Africa



  South America

By Component Insights

The services segment is estimated to witness significant growth during the forecast period.

In today's business landscape, analytics plays a pivotal role in driving growth and gaining a competitive edge. companies cater to diverse industry needs by providing customized analytics services, including AI, ETL, social media, meta discovery, hybrid multi-cloud, smart retail, proteins, governance, decision-making, self-service consumption, healthcare, scalability, integration, fabrics, customer experience, sensors, real-time healthcare, IoT solutions, active meta discovery, immersive gaming, analytics apps, digital experience, outbreaks, processing power, network devices, healthcare analytics capabilities, engineering, self-service consumption, AI solutions, text analytics, AI-powered BI, geospatial analysis, business intelligence, e-commerce, customer analytics, security, cross-product access management, human resource management, product promotions, social media advertising, enterprise resource planning, and geospatial analytics.

Service providers enhance data security, discover new revenue streams, transform service support for better productivity, and enable informed business decisions. The increasing competition and innovation necessitate industry-specific, consumer group-specific, and region-specific data analysis, making professional services indispensable.

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The Services segment was valued at USD 114.00 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 30% to the growth of the global market during the forecast period.

Techna

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Will the China A50 Index Continue Its Ascent?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Statistics illustrates market overview of cases and containers; of a kind normally carried in the pocket or in the handbag, with outer surface of plastic sheeting or of textile materials in China from 2007 to 2024.

Parameters of the four machine learning models used in prediction schedule.

The Courier industry is a relatively new business segment in China. In its modern form, it has existed for about 30 years. Industry demand was supported by the increasing income levels and purchasing power of Chinese residents. Industry's performance is also closely related to the development of ecommerce market in China, especially the online shopping market, as it depends heavily on couriers delivering goods purchased online. Industry revenue is expected to increase at an annualized 10.2% over the five years through 2024, to $191.0 billion. This trend includes a 10.0% jump in the current year. Online shopping market has developed rapidly in China benefiting from the increasing number of Internet users. As of 2023, the number of Internet users in China has reached 1.1 billion units, the Internet penetration rate in total population also increased to 77.5%. Online shopping as a share of total retail sales of consumer goods reached 32.7% in the year. In the five years to 2024, total courier volume in China is expected to rise at an average rate of 20.1%, to 158.6 billion units.Affected by the COVID-19 in 2022, total courier volume increased by just 2.1% from 2021, much lower compared with the previous years. This is mainly because the communities and factories where the cases occurred may be required to be closed or shut down, which has resulted in reduced production and trade activities and decreasing demand for express delivery services. In 2022, industry revenue decreased by 4.1% from 2021.Industry revenue is forecast to rise at an annualized 7.6% over the five years through 2029, to $275.2 billion. The recovery of China's economy and consumption in China will continue to support the industry growth. The implementation of RCEP will also stimulate international trade between China and member countries, and further promote the demand for international express services. The development of technology and systems applied to courier activities is forecast to further improve rapidly over the period. Productivity and efficiency in the industry is forecast to contribute to improve.

Discover the booming China commercial real estate market! Our analysis reveals a $890 million market in 2025, projected to grow at a 3.49% CAGR until 2033. Learn about key drivers, trends, restraints, and major players like Wanda Group and CapitaLand. Explore market segmentation and regional data for informed investment decisions. Recent developments include: May 2023: The Beijing Suning Life Plaza mixed-use complex was recently purchased from Suning for about USD 400 million by CapitaLand Investment Private Fund with the help of Cushman & Wakefield's Greater China Capital Markets division., April 2023: AIA put US$1.3 billion into a Shanghai office-retail complex, while Ping An paid about US$7 billion for industrial and office assets in Shanghai and Beijing. Insurers, including AIA and Ping An Life Insurance, are investing billions of dollars in mainland China properties, which are expected to remain an attractive asset class for insurers despite the property market downturn.. Key drivers for this market are: Foreign Investments driving the market, Implementation of government policies driving the market. Potential restraints include: Oversupply of commercial real estate, Increasing property prices affecting the growth of the market. Notable trends are: Technology and Innovation Driving the Market.

Unlock lucrative investment opportunities in China's booming big data market! Discover a 30% CAGR, key trends, and leading players shaping this dynamic sector. Analyze market segments, regional growth, and forecast data to make informed investment decisions. Learn more about this high-growth market now. Recent developments include: November 2022 - Alibaba announced the Innovative upgrade, and Greener 11.11 runs wholly on Alibaba Cloud, whereas Alibaba Cloud's dedicated processing unit powered 11.11 for the Apsara Cloud operating system. The upgraded infrastructure system significantly improved the efficiency of computing, storage, etc., October 2022 - Huawei Technologies Co.has unveiled its 4-in-1 hyper-converged enterprise gateway NetEngine AR5710, delved into the latest CloudCampus 3.0 + Simplified Solution, and launched a series of products for large enterprises and Small- and Medium-Sized Enterprises (SMEs). With these new offerings, Huawei aims to help enterprises simplify their campus networks and maximize digital productivity.. Key drivers for this market are: 6.1 Data Explosion: Unstructured, Semi-structured and Complex6.2 Improvement in Algorithm Development6.3 Need for Customer Analytics. Potential restraints include: 6.1 Data Explosion: Unstructured, Semi-structured and Complex6.2 Improvement in Algorithm Development6.3 Need for Customer Analytics. Notable trends are: Need for Customer Analytics to Increase Exponentially Driving the Market Growth.

Fine Bone China Market size was valued at USD 1.2 Billion in 2023 and is projected to reach USD 2.4 Billion by 2031, growing at a CAGR of 2.1% during the forecast period 2024-2031.

Global Fine Bone China Market Drivers

The market drivers for the Fine Bone China Market can be influenced by various factors. These may include:

Growing Customer Requirement for Expensive Housewares: The market for fine bone china is being greatly helped by the growing trend of premium homeware, which is being pushed by rising disposable incomes and a move towards luxury lifestyles. The demand for artisanal and handcrafted goods is rising as a result of consumers' growing interest in fine dining experiences and kitchenware. Furthermore, the impact of social media and lifestyle influencers exhibiting sophisticated dining arrangements is motivating customers to purchase fine china. Growing interest in gifting and home entertainment is another factor driving this demand, pushing manufacturers to develop and broaden their product lines, which boosts sales and market share.

Expanding Hospitality Industry: One of the main factors propelling the fine bone china market is the growth of the hospitality industry, especially in developing nations. Premium dinnerware that exudes quality and refinement is becoming more and more popular as lodging establishments, eateries, and cafés work to improve the eating experience. Because of its aesthetic appeal, longevity, and capacity to enhance food presentation, fine bone china is becoming more and more popular. Furthermore, the necessity for exceptional tableware is further highlighted by the growth in luxury travel and the emphasis on distinctive dining experiences. This is driving businesses to invest in fine bone china items of the highest caliber in order to draw in discriminating clientele.

Global Fine Bone China Market Restraints

Several factors can act as restraints or challenges for the Fine Bone China Market. These may include:

Exorbitant Production Expenses: High production costs might be a barrier to profitability in the fine bone china business. High-quality raw materials including quartz, feldspar, and kaolin clay are used in the manufacturing process, coupled with energy-intensive fire techniques. Variations in labor costs, raw material pricing, and the requirement for experienced artisans to uphold quality standards can all increase these costs. In addition, the lengthy production cycles of fine bone china result in higher needs for working capital. Small and medium-sized firms may thus find it difficult to compete with larger businesses, which would restrict their ability to enter new markets and innovate. This financial barrier may discourage new competitors and impede market expansion.

Shifting Customer Preferences: The fine bone china business faces a significant challenge from consumers' shifting preferences toward casual meals and ecological products. Many customers now want less formal, adaptable, and practical tableware, such melamine or disposable choices, as their lifestyles change. Furthermore, customers are searching for eco-friendly substitutes due to the increased emphasis on sustainability, which could have an effect on sales of exquisite bone china. Fine bone china needs to be positioned as a high-end alternative for special occasions rather than daily use in order for the market to respond to these trends. Fine bone china may become marginalized if it doesn't align with contemporary consumer ideals, which will lower demand and cause it to lose market share.