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市场调查报告书
商品编码
1775274
云端分析的全球市场:报价环,数据类型,各资料处理,各终端用户业界,各地区,机会,预测,2018年~2032年Global Cloud Analytics Market Assessment, By Offerings, By Data Type, By Data Processing, By End-user Industry, Region, Opportunities and Forecast, 2018-2032F |
全球云端分析市场规模预计将从 2024 年的 364.5 亿美元成长到 2032 年的 1,359.9 亿美元,在 2025-2032 年预测期内的复合年增长率为 17.89%。该市场的显着扩张得益于全球企业扩大采用基于云端的分析工具。这一趋势的驱动力在于先进计算技术的日益普及,包括使系统能够从数据中学习并即时处理各个行业的资讯。企业逐渐意识到将分析业务迁移到云端的显着优势,包括能够更灵活地根据需要扩展或缩减资源、降低营运成本以及做出更快、更明智的决策。
随着全球企业加强数位化创新力度,企业对云端提供的弹性、灵活且经济高效的分析能力的需求日益增长。云端分析解决方案使企业能够分析结构化和非结构化数据,识别趋势,预测结果,并持续提升整体营运效率。
此外,人工智慧 (AI)、机器学习 (ML) 和生成式人工智慧 (Generative AI) 等新技术的融合正在提升云端分析的效能。新技术可以增强预测能力、实现智慧自动化并提升客户体验。例如,西班牙对外银行 (BBVA) 于 2024 年 12 月成立了分析转型部门 (Analytics Transformation Unit),汇集了 2,500 多名数据科学家,致力于基于预测性和生成式人工智能构建创新和卓越运营,这表明基于云端的分析在帮助最大化客户价值和业务敏捷性方面日益重要的人工智能意义。
随着资料从行动应用程式、物联网设备、社交网路和企业网路不断生成,越来越多的组织开始采用云端分析来实现资料处理自动化、降低成本并更有效率地发展。这是因为,在数位优先、速度驱动且竞争激烈的全球经济中,企业都希望尽可能从数据中获取价值。
本报告提供全球云端分析市场相关调查,市场概要,以及报价环,数据类型,各资料处理,各终端用户业界,各地区趋势,及加入此市场的主要企业简介等资讯。
Global cloud analytics market is projected to witness a CAGR of 17.89% during the forecast period 2025-2032, growing from USD 36.45 billion in 2024 to USD 135.99 billion in 2032. Businesses worldwide are increasingly turning to cloud-based analytical tools, driving substantial expansion in this market. This trend is fueled by the growing embrace of advanced computational methods, including those that enable systems to learn from data and process information instantaneously across various sectors. Companies recognize the clear advantages of moving their analytical operations to the cloud, benefiting from greater flexibility to expand or contract their resources as needed, reduced operational expenses, and the ability to make quicker, more informed decisions.
As worldwide organizations increase digital innovation efforts, enterprise demand for elastic, flexible, and cost-effective analytics offered by the cloud. Cloud solutions for analytics enable enterprises to analyze sets of structured as well as unstructured data, identify trends, predict outcomes, and keep on contributing to overall operational productivity.
Apart from this, the integration of new technologies such as artificial intelligence (AI), machine learning (ML), and generative AI is enhancing the performance of cloud analytics offerings. The new technologies make for enhanced forecasting, intelligent automation, and personalized customer experiences. For instance, in December 2024, BBVA established the Analytics Transformation Unit, unifying over 2,500 data scientists to build innovation and operational excellence based on predictive and generative AI, demonstrating the increasing strategic importance of cloud-based analytics to help drive customer value and business agility to the maximum.
As increasing numbers of data are being generated by mobile applications, internet of things devices, social networks, and enterprise networks, business organizations are increasingly leaning towards the usage of cloud analytics as a means of automating data processing, avoiding costs, and growing more efficiently. This is because business organizations are poised to be interested in getting the most possible value out of their data in an emerging digital-first, speed-driven competitive world economy.
Rising Demand for Real-Time and Data-Driven Decision-Making Boosts the Market Growth
Global cloud analytics market is expanding fast due to the increasing necessity for timely access to data for making business decisions. Firms these days operate in fast-changing environments where instant access to accurate data can create massive swings in performance and competitiveness. Cloud analytics solutions provide elastic, agile, and scalable offerings that allow companies to analyze huge amounts of structured as well as unstructured data in seconds. This facility of real-time is most vital for industries such as finance, retail, and healthcare, where real-time decision-making has a direct impact on business operational performance and customer satisfaction.
For instance, in January 2025, Nebula introduced CallSwitch One Analytics, which is a cloud-based analytics solution purpose-built for SMEs to track employees' productivity, team performance, and utilization of resources in real time. The functionality within the solution makes third-party software requirements outdated with deeper reporting, real-time dashboards, and easy deployment.
Integration of AI and Machine Learning in Cloud Platforms Drives Market Growth
Use of artificial intelligence (AI) and machine learning (ML) by cloud analytics platforms is contributing immensely towards market growth. The technologies supplement traditional data analysis with predictive modeling, auto-insights, anomaly detection, and natural language processing. Industry organizations are adopting AI-driven analytics for liberation from historical analysis and embracing predictive and prescriptive intelligence. With this transformation, not only are organizations able to see what has occurred but also see what's coming next and make pre-emptive choices.
For instance, in October 2024, the Oracle Corporation launched Oracle Analytics Intelligence for Life Sciences, an AI-driven, cloud-based data and analytics platform designed to facilitate and speed up the process of generating insights. The answer aggregates various sources of information into one intelligent workplace so that analysts and researchers can perform sophisticated analysis, visualize trends, and find insightful information more effectively. These data capabilities are becoming an imperative for organizations interested in staying relevant in the data economy.
BFSI Segment Dominates the Global Cloud Analytics Market
The BFSI segment dominates the global cloud analytics market with the growing requirement for secure, scalable, and real-time data analytics solutions to process enormous amounts of financial data. With digital banking, online transactions, and customer engagement channels on the rise, banks are increasingly leveraging cloud analytics to enhance decision-making, prevent fraud, drive operation efficiency, and enhance customer experience. The increasing focus on compliance with regulations, risk management, and the need for customized financial services have also boosted cloud analytics adoption in this industry.
For example, in May 2023, CaixaBank, a top bank, collaborated with Google Cloud to transform its data infrastructure and utilize sophisticated analytics and AI capabilities. The bank, through this partnership, sought to enhance innovation, offer customized financial products, and enhance service delivery through the use of data analytics at scale. The collaboration is an example of how key BFSI industry players are pouring significant resources into cloud-based analytics to drive operations and stay ahead of competition in the shifting financial landscape. With the ongoing digital transformation and pivotal role played by data-driven insights in finance, the BFSI segment is likely to continue its dominant market share in the cloud analytics space in the next few years.
North America Holds a Significant Share in Global Cloud Analytics Market
North America is the leading region for the global cloud analytics market due to its high adoption of technology, robust infrastructure in terms of clouds, and leadership of top cloud service providers such as Google Cloud, Amazon Web Services (AWS), Microsoft Azure, and IBM Cloud. Businesses in industries such as BFSI, retail, healthcare, and telecom in the US and Canada are implementing cloud analytics at a very rapid rate to increase customer engagement on a deeper level, streamline processes, and improve real-time data-based decision-making.
The region is also underpinned by a very digitized economy, increasing investments in artificial intelligence, and business intelligence tools to power to stay ahead. For instance, IBM Corporation and Telefonica Tech announced a strategic partnership in North America in June 2024 to develop AI, analytics, and data management solutions. This is done to encourage companies to take on hybrid cloud platforms and use AI-based insights to move ahead with digital transformation, with the aim of enhancing operating efficiency and decision-making ability. Following government support for digitalization and innovation by companies such as AWS, Google, Microsoft, and IBM, North America market is expected to grow during the forecast period.
Impact of U.S. Tariffs on Global Cloud Analytics Market
The impact of U.S. tariffs on the global cloud analytics industry is relatively minimal since the industry is controlled by software services, digital infrastructure, and data-driven innovation, compared to physical products.
Indirect impacts might be felt if tariffs increase the cost of bringing in hardware components such as servers, networking equipment, and storage facilities used to drive cloud infrastructures. This could make infrastructure updating slower or lead to the cost of services going up, especially among small and medium-sized enterprises utilizing third-party cloud vendors.
Even though the core analytics services are tariff-insensitive, supply chain disruption and higher costs of cloud infrastructure may slow the adoption rate marginally, particularly in price-sensitive markets.
Key Players Landscape and Outlook
Global cloud analytics market is highly dispersed, with many participants in the spectrum ranging from global technology leaders to specialty start-ups offering niche solutions. Lead vendors are well ahead on the back of their comprehensive service portfolios, cutting-edge infrastructure, and strong client base. These vendors are spending heavily on artificial intelligence (AI), machine learning (ML), and data integration capabilities to enhance their analytics strength and respond to shifting customer demands.
Innovation is a core competitive aspect. For instance, Oracle unveiled Intelligent Data Lake as part of the Data Intelligence Platform in September 2024. The new offering integrates AI, cloud, and data analytics and enables organizations to process structured and unstructured data more efficiently. Such technologies indicate more intelligent, scalable, and consumer-centric analytics platforms. Strategic collaborations also, are also shaping market space. In June 2023, Google Cloud and Salesforce, Inc. further strengthened their strategic alliance to empower businesses to leverage AI and data analytics to improve customer experiences. The alliance provides seamless integration of Salesforce's CRM and Google Cloud's AI/ML capabilities to empower businesses to deliver personalized services and reduce costs.
Going forward, the market is poised to expand owing to increasing volumes of data, growing cloud usage, and the increased demand for real-time analytics across sectors such as BFSI, healthcare, retail, and manufacturing. The landscape will likely see further consolidation, as larger firms acquire smaller, innovative startups to strengthen their technological edge and broaden their service offerings. For clients and readers, this evolving environment indicates a need to choose partners that not only offer robust analytics tools but also invest in future-ready solutions, ensuring long-term scalability, agility, and value.
All segments will be provided for all regions and countries covered
Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.