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China Advanced Analytics Market

ID: MRFR/ICT/62751-HCR
200 Pages
Aarti Dhapte
October 2025

China Advanced Analytics Market Research Report By Solution Type (Predictive Analytics, Descriptive Analytics, Prescriptive Analytics, Diagnostic Analytics), By Deployment Model (On-premises, Cloud-based, Hybrid), By End User Industry (BFSI, Retail, Healthcare, Manufacturing, Telecommunications) and By Technology (Machine Learning, Artificial Intelligence, Big Data, Data Mining) - Forecast to 2035

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China Advanced Analytics Market Summary

As per MRFR analysis, the advanced analytics market size was estimated at 4680.0 USD Million in 2024. The advanced analytics market is projected to grow from 4945.36 USD Million in 2025 to 8580.0 USD Million by 2035, exhibiting a compound annual growth rate (CAGR) of 5.67% during the forecast period 2025 - 2035.

Key Market Trends & Highlights

The China advanced analytics market is experiencing robust growth driven by technological integration and regulatory support.

  • The integration of AI and Machine Learning is transforming analytics capabilities across various sectors.
  • Data privacy and security concerns are increasingly influencing analytics strategies among organizations.
  • Government support for digital transformation initiatives is propelling the adoption of advanced analytics solutions.
  • Rising demand for data-driven decision making and expansion of cloud computing infrastructure are key drivers of market growth.

Market Size & Forecast

2024 Market Size 4680.0 (USD Million)
2035 Market Size 8580.0 (USD Million)

Major Players

IBM (US), SAS (US), Microsoft (US), Oracle (US), SAP (DE), Tableau (US), Qlik (US), Alteryx (US), TIBCO (US)

China Advanced Analytics Market Trends

The advanced analytics market is experiencing notable growth, driven by the increasing demand for data-driven decision making across various sectors. Organizations are recognizing the value of leveraging advanced analytical techniques to enhance operational efficiency and gain competitive advantages. This trend is particularly evident in industries such as finance, healthcare, and retail, where data insights are crucial for strategic planning and customer engagement. Furthermore, the integration of artificial intelligence and machine learning technologies is transforming how businesses analyze and interpret data, leading to more accurate predictions and improved outcomes. In addition, the regulatory environment in China is evolving to support the adoption of advanced analytics. Government initiatives aimed at promoting digital transformation and innovation are encouraging businesses to invest in advanced analytical tools. As a result, there is a growing emphasis on data privacy and security, which is shaping the development of analytics solutions. The advanced analytics market is poised for continued expansion, as organizations increasingly seek to harness the power of data to drive growth and innovation.

Integration of AI and Machine Learning

The incorporation of artificial intelligence and machine learning into the advanced analytics market is reshaping how organizations process and analyze data. These technologies enable more sophisticated data modeling and predictive analytics, allowing businesses to uncover deeper insights and make informed decisions.

Focus on Data Privacy and Security

As the advanced analytics market expands, there is a heightened focus on data privacy and security. Organizations are prioritizing compliance with regulations and implementing robust security measures to protect sensitive information, which is essential for maintaining customer trust.

Government Support for Digital Transformation

The Chinese government is actively promoting digital transformation initiatives, which significantly impact the advanced analytics market. By providing funding and resources, the government encourages businesses to adopt advanced analytical tools, fostering innovation and enhancing competitiveness.

China Advanced Analytics Market Drivers

Emphasis on Enhanced Customer Experience

In the competitive landscape of China, businesses are placing a strong emphasis on enhancing customer experience, which serves as a significant driver for the advanced analytics market. Companies are utilizing advanced analytics to gain insights into customer behavior, preferences, and trends, enabling them to tailor their offerings accordingly. This focus on personalization is evident in sectors such as e-commerce and hospitality, where organizations are investing heavily in analytics tools to improve customer engagement. It is estimated that companies leveraging advanced analytics for customer experience improvements can achieve revenue growth of up to 15%. As a result, the advanced analytics market is likely to see continued growth as businesses prioritize customer-centric strategies.

Growing Investment in Smart Technologies

Investment in smart technologies is a key driver of the advanced analytics market in China. With the rise of the Internet of Things (IoT) and smart devices, organizations are generating unprecedented volumes of data. This influx of data necessitates advanced analytics solutions to extract meaningful insights and optimize operations. The Chinese government has been actively promoting smart city initiatives, which are expected to attract investments exceeding $300 billion by 2025. As businesses seek to capitalize on these opportunities, the demand for advanced analytics tools that can process and analyze IoT data is likely to increase, thereby propelling the advanced analytics market.

Regulatory Compliance and Risk Management

The advanced analytics market in China is shaped by the increasing need for regulatory compliance and effective risk management. As industries face stringent regulations, particularly in finance and healthcare, organizations are turning to advanced analytics to ensure compliance and mitigate risks. The ability to analyze large datasets for compliance purposes is becoming essential, as non-compliance can result in substantial financial penalties. Furthermore, the market for risk management solutions is projected to grow significantly, with estimates suggesting a CAGR of around 20% through 2025. This trend indicates that businesses are likely to invest in advanced analytics tools to enhance their risk assessment capabilities, thereby driving growth in the advanced analytics market.

Expansion of Cloud Computing Infrastructure

The advanced analytics market in China is significantly influenced by the rapid expansion of cloud computing. As businesses increasingly migrate to cloud-based solutions, they gain access to scalable and flexible analytics tools that facilitate real-time data processing and analysis. This transition allows organizations to harness the power of big data without the burden of extensive on-premises hardware. Reports indicate that the cloud services market in China is expected to reach $100 billion by 2025, further fueling the growth of the advanced analytics market. The integration of cloud technologies enables companies to deploy advanced analytics solutions more efficiently, thereby enhancing their ability to derive insights and drive innovation.

Rising Demand for Data-Driven Decision Making

The advanced analytics market in China is experiencing a notable surge in demand as organizations recognize the value of data-driven decision making. Companies across various sectors, including finance, healthcare, and retail, are leveraging advanced analytics to enhance operational efficiency and improve customer experiences. According to recent estimates, the market is projected to grow at a CAGR of approximately 25% from 2025 to 2030. This growth is driven by the need for actionable insights derived from vast amounts of data, enabling businesses to make informed strategic choices. As organizations strive to remain competitive, the adoption of advanced analytics tools becomes essential, thereby propelling the advanced analytics market forward.

Market Segment Insights

By Solution Type: Predictive Analytics (Largest) vs. Prescriptive Analytics (Fastest-Growing)

In the China advanced analytics market, Predictive Analytics holds the largest market share. This segment is crucial for businesses looking to forecast future trends and behaviors based on historical data. Its dominance is supported by a strong demand from various industries such as finance, healthcare, and retail, which are increasingly reliant on data-driven decision-making. On the other hand, Prescriptive Analytics is recognized as the fastest-growing segment in this market. Its rapid expansion can be attributed to the increasing need for businesses to not only understand what happened and what is likely to happen, but also to receive actionable recommendations. This trend is fueled by advancements in machine learning and artificial intelligence, enabling companies to optimize operations effectively.

Predictive Analytics (Dominant) vs. Prescriptive Analytics (Emerging)

Predictive Analytics is the dominant solution in the market, characterized by its ability to use statistical algorithms and machine learning techniques to analyze historical data. It empowers businesses to make informed predictions about future outcomes, serving as a backbone for decision-making processes across sectors. This solution is widely adopted due to its proven efficacy in enhancing operational efficiency and customer satisfaction. Conversely, Prescriptive Analytics is emerging as a significant player, offering tools that not only forecast future scenarios but also suggest actionable steps. Its growth reflects a shift towards more strategic decision-making, as organizations increasingly seek to optimize their processes by leveraging advanced algorithms and AI technologies to generate data-driven recommendations. This solution is particularly appealing in dynamic industries where timely and precise decisions are critical.

By Deployment Model: Cloud-based (Largest) vs. Hybrid (Fastest-Growing)

In the China advanced analytics market, the deployment model segment exhibits a diverse distribution among On-premises, Cloud-based, and Hybrid solutions. Cloud-based options dominate the market, favored for their flexibility and scalability, while On-premises solutions remain significant for organizations with strict data control policies. Hybrid models, emerging as a robust alternative, cater to businesses seeking a balanced approach between on-site management and cloud capabilities, reflecting a growing trend in mixed deployment strategies. Growth trends within this segment indicate a rising preference for Cloud-based analytics, driven by increasing internet penetration and cloud adoption across various industries. The Hybrid model is gaining traction, becoming the fastest-growing deployment type as more companies recognize the need for agility and cost-effectiveness. This shift is fueled by digital transformation initiatives and the demand for real-time data insights, encouraging organizations to adapt their analytics infrastructure accordingly.

On-premises (Dominant) vs. Cloud-based (Emerging)

The On-premises deployment model remains a dominant player in the China advanced analytics market, preferred by sectors that prioritize data security and regulatory compliance. These systems offer superior control over sensitive data, critical for industries such as finance and healthcare. Conversely, Cloud-based solutions are rapidly emerging, appealing to businesses that require scalability and lower upfront costs. They foster quick deployment of analytics capabilities and reduce the burden on internal IT resources. As organizations in China increasingly focus on agility and innovation, both deployment models will likely coexist, catering to differing corporate strategies and operational requirements.

By End User Industry: BFSI (Largest) vs. Retail (Fastest-Growing)

In the China advanced analytics market, the BFSI sector represents the largest share, driven by the increasing need for risk management and fraud detection. This sector utilizes advanced analytics to enhance customer service, optimize operations, and make informed decisions, cementing its dominance in the market. On the other hand, the retail segment is emerging as the fastest-growing sector, spurred by the rapid digital transformation and the growing emphasis on personalized customer experiences. Retailers are increasingly leveraging advanced analytics for inventory management, sales forecasting, and enhancing customer engagement, indicating a robust growth trajectory.

BFSI: Dominant vs. Retail: Emerging

The BFSI sector holds a dominant position in the China advanced analytics market, characterized by sophisticated use of data analytics for risk assessment and operational efficiency. Banks and financial institutions are integrating advanced analytics to streamline their processes and improve customer relations. Conversely, the retail sector is rapidly emerging, reflecting a paradigm shift towards data-driven strategies. Retailers are adopting advanced analytics to tailor promotional offers and optimize supply chains, showcasing agility in response to market demands. The shift to e-commerce is further amplifying retail's reliance on data analytics, making it crucial for competitive differentiation.

By Technology: Machine Learning (Largest) vs. Artificial Intelligence (Fastest-Growing)

In the China advanced analytics market, Machine Learning holds a significant share, being the largest segment among the analyzed technologies. Its widespread adoption across various industries has solidified its position, making it indispensable for enhancing operational efficiency and decision-making processes. In contrast, Artificial Intelligence, while currently smaller in comparison to Machine Learning, is emerging rapidly, gaining traction among businesses seeking to leverage AI capabilities for innovative solutions. The growth trends within the segment are driven largely by advancements in algorithmic development and increasing investment in technology infrastructure. The demand for data-driven insights continues to escalate, pushing the adoption of Big Data analytics and Data Mining practices. These technologies facilitate enhanced predictive analytics and real-time data processing, which are essential for maintaining competitive advantages in an evolving market landscape.

Technology: Machine Learning (Dominant) vs. Data Mining (Emerging)

Machine Learning is recognized as the dominant force within the China advanced analytics market, offering sophisticated algorithms that enable organizations to analyze large datasets effectively. Its applications span numerous sectors, including finance, healthcare, and telecommunications, where it aids in predictive modeling and automation of decision-making processes. Meanwhile, Data Mining represents an emerging segment, focusing on discovering patterns and extracting valuable insights from vast amounts of data. As organizations strive to harness their data assets for strategic growth, Data Mining's importance is rising, complementing Machine Learning by providing the foundational insights necessary for advanced analysis.

Get more detailed insights about China Advanced Analytics Market

Key Players and Competitive Insights

The advanced analytics market in China is characterized by a dynamic competitive landscape, driven by rapid technological advancements and increasing demand for data-driven decision-making. Key players such as IBM (US), Microsoft (US), and SAP (DE) are strategically positioned to leverage their extensive portfolios and innovative capabilities. IBM (US) focuses on integrating AI and machine learning into its analytics solutions, enhancing predictive capabilities and operational efficiency. Meanwhile, Microsoft (US) emphasizes cloud-based analytics, facilitating seamless data integration and real-time insights for businesses. SAP (DE) is concentrating on expanding its analytics offerings through strategic partnerships, thereby enhancing its market presence and customer engagement.

The market structure appears moderately fragmented, with a mix of established players and emerging startups. Key business tactics include localizing services to cater to regional needs and optimizing supply chains to enhance service delivery. The collective influence of these major players shapes a competitive environment where innovation and customer-centric solutions are paramount. As companies strive to differentiate themselves, the focus on localized strategies and operational efficiencies becomes increasingly critical.

In October 2025, IBM (US) announced a significant partnership with a leading Chinese telecommunications company to develop advanced analytics solutions tailored for the telecommunications sector. This collaboration is expected to enhance data processing capabilities and improve customer experience through personalized services. Such strategic alliances indicate IBM's commitment to localizing its offerings and adapting to the unique demands of the Chinese market.

In September 2025, Microsoft (US) launched a new suite of analytics tools designed specifically for small and medium-sized enterprises (SMEs) in China. This initiative aims to democratize access to advanced analytics, enabling SMEs to harness data insights for growth. By targeting this segment, Microsoft not only expands its customer base but also fosters innovation among smaller businesses, which is crucial for the overall market ecosystem.

In August 2025, SAP (DE) unveiled a new analytics platform that integrates sustainability metrics into business intelligence tools. This move aligns with the growing emphasis on sustainable practices within the Chinese market. By incorporating sustainability into analytics, SAP positions itself as a leader in promoting responsible business practices, which could resonate well with environmentally conscious consumers and businesses alike.

As of November 2025, current trends in the advanced analytics market include a pronounced shift towards digitalization, AI integration, and sustainability. Strategic alliances are increasingly shaping the competitive landscape, allowing companies to pool resources and expertise. Looking ahead, competitive differentiation is likely to evolve from traditional price-based competition to a focus on innovation, technological advancements, and supply chain reliability. This shift underscores the importance of agility and responsiveness in meeting the ever-changing demands of the market.

Key Companies in the China Advanced Analytics Market market include

Industry Developments

The China Advanced Analytics Market has seen considerable activity recently, particularly with the increasing adoption of AI and big data technologies. In April 2023, Palantir announced partnerships with several Chinese firms to enhance data integration and analytics capabilities, marking a significant step in expanding its presence in the region. SAS has been focusing on providing advanced analytics solutions tailored for various industries, including finance and healthcare, responding to the growing demand for data-driven decision-making. In June 2023, Accenture established a joint venture with Tencent to leverage AI in smart city development projects. 

Companies like Alibaba and Huawei are investing heavily in machine learning and data analytics as part of China’s broader push for innovation in technology. Notably, in August 2023, SAP announced plans to enhance its cloud services in China, tapping into the burgeoning market for cloud-based analytics solutions. The market valuation of leading players such as IBM and Qlik is on an upward trajectory, driven by the need for real-time data insights.

Furthermore, in September 2023, JD.com revealed its intention to acquire a minority stake in a promising analytics startup, showcasing the ongoing trends of collaboration and investment in the area of advanced analytics.

Future Outlook

China Advanced Analytics Market Future Outlook

The Advanced Analytics Market in China is projected to grow at a 5.67% CAGR from 2024 to 2035, driven by technological advancements and increasing data utilization.

New opportunities lie in:

  • Development of AI-driven predictive maintenance solutions for manufacturing sectors.
  • Implementation of advanced analytics in supply chain optimization for e-commerce.
  • Creation of tailored analytics platforms for small and medium enterprises.

By 2035, the advanced analytics market is expected to achieve substantial growth and innovation.

Market Segmentation

China Advanced Analytics Market Technology Outlook

  • Machine Learning
  • Artificial Intelligence
  • Big Data
  • Data Mining

China Advanced Analytics Market Solution Type Outlook

  • Predictive Analytics
  • Descriptive Analytics
  • Prescriptive Analytics
  • Diagnostic Analytics

China Advanced Analytics Market Deployment Model Outlook

  • On-premises
  • Cloud-based
  • Hybrid

China Advanced Analytics Market End User Industry Outlook

  • BFSI
  • Retail
  • Healthcare
  • Manufacturing
  • Telecommunications

Report Scope

MARKET SIZE 2024 4680.0(USD Million)
MARKET SIZE 2025 4945.36(USD Million)
MARKET SIZE 2035 8580.0(USD Million)
COMPOUND ANNUAL GROWTH RATE (CAGR) 5.67% (2024 - 2035)
REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR 2024
Market Forecast Period 2025 - 2035
Historical Data 2019 - 2024
Market Forecast Units USD Million
Key Companies Profiled IBM (US), SAS (US), Microsoft (US), Oracle (US), SAP (DE), Tableau (US), Qlik (US), Alteryx (US), TIBCO (US)
Segments Covered Solution Type, Deployment Model, End User Industry, Technology
Key Market Opportunities Integration of artificial intelligence in advanced analytics enhances decision-making across various industries.
Key Market Dynamics Rapid technological advancements drive competitive dynamics in the advanced analytics market, reshaping local business strategies.
Countries Covered China

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FAQs

What is the projected market size of the China Advanced Analytics Market in 2024?

The China Advanced Analytics Market is expected to be valued at 3.5 USD Billion in 2024.

What is the expected market size of the China Advanced Analytics Market by 2035?

By 2035, the market is projected to reach a valuation of 7.5 USD Billion.

What is the expected compound annual growth rate (CAGR) for the China Advanced Analytics Market from 2025 to 2035?

The market is expected to grow at a CAGR of 7.174% from 2025 to 2035.

Which segment of the China Advanced Analytics Market is anticipated to have the largest share in 2024?

Predictive Analytics is projected to hold the largest segment share valued at 1.2 USD Billion in 2024.

How much is the Predictive Analytics segment expected to grow by 2035?

The Predictive Analytics segment is anticipated to reach 2.5 USD Billion by 2035.

Who are the key players in the China Advanced Analytics Market?

Major players include Palantir, SAS, Deloitte, Accenture, Qlik, Huawei, SAP, FICO, IBM, Alibaba, Teradata, Tencent, Baidu, JD.com, and MicroStrategy.

What is the growth outlook for the Descriptive Analytics segment from 2024 to 2035?

The Descriptive Analytics segment is expected to increase from 1.0 USD Billion in 2024 to 2.3 USD Billion by 2035.

What are the expected values for the Prescriptive Analytics segment in 2024 and 2035?

The Prescriptive Analytics segment is valued at 0.9 USD Billion in 2024, with a forecasted growth to 1.9 USD Billion by 2035.

What is the market size for Diagnostic Analytics in 2024?

The Diagnostic Analytics segment is expected to be valued at 0.4 USD Billion in 2024.

What challenges might impact the growth of the China Advanced Analytics Market?

Potential challenges include regulatory changes, data privacy issues, and increasing competition among key players.

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