Cloud Analytics Market Growth Analysis - Forecast Trends and Outlook (2026-2035)

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The global cloud analytics market is witnessing significant growth, driven by the increasing adoption of analytics solutions across industries. Businesses are leveraging cloud platforms for enhanced data analytics and business intelligence capabilities. Cloud analytics enables organisations to analyse vast datasets efficiently through private cloud or public cloud models. Additionally, the rising need for scalable data storage solutions further fuels the demand for cloud-based technologies. As companies focus on data-driven decision-making, cloud analytics plays a pivotal role in their success.

The cloud analytics market is expanding rapidly, driven by the adoption of multicloud and hybrid environments. Businesses increasingly rely on multicloud strategies to access advanced analytics solutions, harness big data, and improve decision-making across various platforms. In October 2024, ETQ launched its AI-driven Predictive Quality Analytics solution, integrated with Acerta Analytics' LinePulse. This collaboration aimed to provide early detection and resolution of manufacturing issues, enhancing production quality and reducing recalls. The solution used AI and machine learning for proactive quality management, optimising manufacturing processes.

• In June 2023, Salesforce and Google Cloud revealed an expanded strategic partnership. The initiative aimed to assist businesses in utilising AI and data to provide more personalised customer experiences, gain deeper insights into customer behaviour, and run more cost-effective campaigns across marketing, sales, services, and other areas.

The growth of IoT and cloud computing solutions is influenced by the global market. Cloud analytics solutions enable businesses to leverage vast amounts of data for improved decision-making, while SaaS offerings provide scalable platforms for data storage. The increasing use of digital channels has further accelerated the adoption of cloud-based analytics, allowing organisations to optimise their operations. As businesses continue to integrate these technologies, they enhance their ability to utilise data more effectively in various sectors.

The cloud analytics market has seen significant growth, driven by the increasing adoption of cloud analytics solutions. The impact of COVID-19 accelerated digital transformation, pushing businesses to rely more on cloud-based analytics for enhanced decision-making and operational efficiency.

Cloud Analytics Market Trends

Business Intelligence (BI) Tools to Become a Key Trend with Improved Accessibility and Connectivity

The global cloud analytics market has experienced substantial growth, driven by the increasing demand for business intelligence (BI) solutions across a variety of industries. These BI solutions leverage advanced cloud technologies to provide organisations with enhanced data analysis, enabling better decision-making. Business intelligence tools are particularly valued for their ability to offer real-time business insights, allowing companies to stay ahead of the competition. One of the key features of these BI solutions is data visualization, which simplifies complex data into easily interpretable formats, aiding decision-makers. As more industries adopt cloud analytics, business intelligence is becoming a core component of digital transformation strategies. The flexibility and scalability of cloud-based BI solutions are enabling businesses of all sizes to access and process vast amounts of data, unlocking new opportunities for growth and efficiency. This trend is expected to continue as companies seek to harness data for competitive advantage in a rapidly evolving market.

Key players are actively working to raise awareness of the advantages of analytics and business intelligence solutions. For example,

• In September 2023, Oracle unveiled new AI-driven features in its Analytics Cloud. These enhancements enable self-service analytics users to improve their analysis and make more informed business decisions, leveraging the Generative AI services of Oracle Cloud Infrastructure.

The market has experienced significant growth, propelled by the increasing adoption of cloud analytics solutions. These solutions enhance BI (business intelligence) by offering advanced data visualization capabilities, enabling organizations across various industries to derive actionable business insights. This trend highlights the expanding role of cloud analytics in driving informed decision-making and strategic planning.

Cloud Analytics Market Growth Factors

Growing Adoption of Analytics Solutions is Set to Accelerate Market Expansion

The global cloud analytics market has experienced remarkable growth, propelled by digitization across various sectors. Cloud analytics solutions have become integral to the strategic decision-making process, enabling businesses to enhance their strategies by analyzing vast datasets. This trend highlights the pivotal role of cloud analytics in digitization and modern business operations.

The cloud analytics market is experiencing rapid growth, driven by the increasing adoption of cloud-based analytics solutions across various industries. These solutions enable businesses to process and analyze vast amounts of data, enhancing their strategic decision-making processes. By leveraging cloud technologies, organizations can optimize their business management tools, leading to improved operational efficiency. This trend highlights the pivotal role of cloud analytics in the development of businesses, as it facilitates data-driven strategies and fosters innovation. In December 2024, Ocorian partnered with AssetMetrix to introduce a next-generation reporting and analytics platform. This collaboration enabled general partners to access real-time web reporting, efficient workflow management, and enhanced data transparency, thereby improving operational efficiency and decision-making processes.

The cloud analytics market is experiencing significant growth, driven by the increasing adoption of cloud-based analytics solutions and platforms. These cloud-based analytics platforms enable businesses to leverage advanced analytics tools, providing valuable insights for decision-making. With the rapid rise of digital business, companies are increasingly relying on cloud-based solutions for data storage, enabling seamless access to critical information. Furthermore, as organisations enhance their communications network, security, and application infrastructure, cloud analytics is becoming essential for maintaining competitiveness in an evolving market. This transformative technology is reshaping industries by offering scalable, cost-effective solutions for data-driven growth.

RESTRAINING FACTORS

Data Security Issues Surrounding Confidential Information Set to Curb Growth

One of the key restraining factors in the global cloud analytics market is data security. As businesses increasingly adopt cloud technology, concerns over the protection of sensitive data intensify. Cloud analytics platforms rely on cloud infrastructure to store and process vast amounts of information, but the risk of data breaches remains a significant issue. In addition, the concept of multitenancy, where multiple clients share the same cloud resources, can heighten vulnerabilities. These security risks undermine trust in cloud-based solutions, potentially hindering the widespread adoption of cloud analytics and slowing market growth despite its potential advantages.

A major restraining factor in the global cloud analytics market is the rising concern over cloud data breaches. These data breaches pose significant data security issues, impacting the reliability of cloud data storage. With increasing cybersecurity threats, businesses are wary of trusting cloud-based analytics solutions for sensitive information. The risk of data breaches undermines confidence in the ability to safely store and utilise data for analysis, which hampers efficient data analysis and utilization. This ongoing challenge limits the broader adoption of cloud analytics. An NHS software provider, Advanced Computer Software Group, was fined £3m by the ICO for security failings leading to a ransomware attack in August 2022. The breach exposed personal data of 79,404 individuals, disrupting NHS services.

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Cloud Analytics Market Segmentation Analysis

By Solution Analysis

Analytics Solutions Set to Lead Due to Increased Data-Driven Adoption

Cloud BI tools enable businesses to access real-time data insights, enhancing decision-making capabilities. They offer scalability, flexibility, and cost-efficiency, allowing companies to analyse data without maintaining costly on-premises infrastructure. These tools also facilitate collaboration by providing accessible, centralised information across teams.

Hosted data warehouse solutions provide secure, scalable data storage without the need for physical infrastructure. They support large volumes of data, offer enhanced security measures, and enable faster querying and reporting. These solutions simplify data management, reduce operational costs, and support advanced analytics for improved business insights.

Complex Event Processing enables businesses to analyse and respond to real-time data streams, detecting patterns and anomalies instantly. This technology supports rapid decision-making, optimising processes, and improving operational efficiency. It is crucial for industries like finance, retail, and healthcare, where real-time insights are vital for performance and risk management.

• In June 2022, Dublin Port Company (DPC), the operator of both passenger and freight ports, revealed it had implemented Oracle Fusion Cloud EPM (Enterprise Performance Management) to optimise its operations and aid in its growth strategy. Oracle EPM is anticipated to assist DPC by offering valuable insights across the organisation, enhancing the accuracy of its budgeting, forecasting, and planning processes for more informed decision-making.

By Deployment Analysis

Public Cloud Segment is Set to Capture the Largest Share Due to Its Cost-Effectiveness and High Bandwidth Efficiency

Public cloud offers cost-effective scalability and flexibility, allowing businesses to access computing resources without the need for significant capital investment in infrastructure. It provides high availability, automatic updates, and robust security measures. With the ability to rapidly scale up or down based on demand, it’s ideal for organisations seeking efficiency and lower operational costs, alongside access to advanced analytics and global reach.

Private cloud provides businesses with a dedicated infrastructure, offering enhanced security and greater control over data management. It is ideal for organisations with stringent compliance requirements or sensitive data needs. This model allows customisation of the environment, offering reliability and high performance. With increased privacy, businesses can maintain more control over their analytics processes while benefiting from the scalability and flexibility that cloud solutions provide.

Hybrid cloud combines the advantages of both public and private clouds, offering a flexible solution for businesses. It allows organisations to keep sensitive data on private cloud infrastructure while leveraging the public cloud for less critical workloads. This approach ensures optimal resource management, enhanced security, and cost-efficiency. The hybrid model supports seamless data integration and analytics across platforms, providing businesses with more adaptability and operational resilience.

By Organization Size Analysis

Large Enterprises to Contribute the Largest Revenue Share Due to the Rapid Growth in Digital Transformation Technology Adoption

Small and medium enterprises (SMEs) benefit greatly from cloud analytics by gaining access to powerful data-driven insights without the need for extensive infrastructure investments. With flexible, cost-effective solutions, SMEs can streamline operations, improve decision-making, and enhance customer experiences. Cloud-based analytics platforms allow SMEs to analyse real-time data, optimise processes, and implement more accurate forecasting, which leads to greater competitiveness in the market. Additionally, cloud analytics helps SMEs scale their operations efficiently and adapt quickly to market changes, fostering growth and innovation while maintaining a low operational cost.

Large enterprises benefit from cloud analytics by harnessing vast amounts of data to drive strategic decision-making and operational efficiency. These organisations can leverage cloud-based platforms to analyse data across multiple departments, improving collaboration and gaining valuable insights into customer behaviour, market trends, and performance. Cloud analytics also enables large enterprises to scale their operations seamlessly, ensuring real-time data accessibility and enhanced forecasting accuracy. By adopting cloud solutions, large businesses can optimise resource management, reduce costs, and remain agile in an increasingly competitive and rapidly changing global market, fostering sustained growth and innovation.

By End User Analysis

BFSI Holds the Largest Share, Driven by Ongoing Efforts to Enhance Customer Experiences

Cloud analytics enables banking, financial services, and Insurance organisations to improve decision-making by analysing large volumes of financial data in real-time. It enhances risk management, fraud detection, and customer insights, allowing for better-tailored services. Cloud solutions provide scalability, cost efficiency, and compliance with regulatory standards, ensuring data security. In March 2025, EY India launched a customised LLM for the BFSI sector, offering up to 50% cost savings. The AI solution improved customer service, operational efficiency, and risk management with enhanced accuracy and multilingual capabilities, ensuring regulatory compliance.

Cloud analytics in healthcare and life sciences enhances patient care by providing real-time access to medical data, improving decision-making. It facilitates predictive analytics, enabling better diagnosis, treatment planning, and disease prevention. Cloud solutions streamline administrative tasks, reduce costs, and improve operational efficiency across healthcare providers. By securely storing and analysing vast amounts of data, organisations can optimise resource allocation, improve patient outcomes, and comply with healthcare regulations, leading to innovation in research and patient care.

Cloud analytics offers retail and consumer goods companies valuable insights into customer behaviour, sales trends, and inventory management. By analysing data in real-time, businesses can optimise pricing strategies, personalise customer experiences, and enhance marketing efforts. Cloud-based platforms also improve supply chain efficiency, reduce operational costs, and support demand forecasting, ensuring businesses stay agile and responsive. These insights enable retailers to drive customer loyalty, increase sales, and remain competitive in the rapidly changing retail landscape.

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If you choose to purchase the full report at a later stage, the amount already paid will be adjusted, and you will only need to pay the remaining balance.

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If you choose to purchase the full report at a later stage, the amount already paid will be adjusted, and you will only need to pay the remaining balance.

REGIONAL INSIGHTS

The market is divided into five key regions: North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America.

North America dominates the global cloud analytics market, driven by significant technological advancements and the rapid adoption of cloud-based solutions. The region benefits from a well-established IT infrastructure, high internet penetration, and robust cloud computing services, making it an ideal environment for businesses to adopt cloud analytics. Major industries, including finance, healthcare, and retail, rely heavily on data-driven insights to optimise operations and improve customer experiences. The presence of key cloud service providers, such as Amazon Web Services and Microsoft Azure, further strengthens the market, promoting continuous innovation and providing scalable solutions that cater to diverse business needs.

Asia Pacific is witnessing rapid growth in the cloud analytics market due to the increasing digitalisation of industries and the adoption of cloud-based solutions across the region. Countries like China, India, and Japan are seeing heightened demand for cloud analytics, driven by the need for real-time data processing and predictive analytics in sectors such as manufacturing, finance, and e-commerce. With the expansion of 5G networks and improvements in internet connectivity, businesses in Asia Pacific are gaining greater access to scalable cloud services, enabling more accurate data analysis and enhanced decision-making. This shift is expected to fuel the region's growth in the coming years.

Europe's cloud analytics market benefits from strong data protection regulations, such as the GDPR, which drive organisations to adopt secure and compliant cloud solutions. The region has experienced steady growth as businesses in sectors like banking, healthcare, and retail seek to leverage cloud-based analytics for improving operational efficiency and customer insights. Moreover, Europe’s focus on innovation and digital transformation has led to an increase in cloud adoption, with both small and large enterprises utilising cloud analytics to remain competitive. Collaborative platforms and the rise of AI are also contributing to Europe's ongoing advancements in cloud analytics solutions.

The Middle East and Africa (MEA) are increasingly adopting cloud analytics, driven by the need for improved data management, operational efficiency, and enhanced customer experience in diverse sectors such as oil and gas, healthcare, and retail. Cloud-based solutions enable businesses in MEA to scale rapidly while ensuring cost-effectiveness, particularly in regions with high operational costs. Governments in the region are also encouraging digital transformation, which has led to more organisations leveraging cloud analytics for real-time insights and better decision-making. Additionally, improvements in internet connectivity and the expansion of 5G networks are fostering the growth of cloud analytics in this region.

List of Key Companies in Cloud Analytics Market

Key Players to Create Advanced Analytics Solutions to Meet Growing Consumer Demand

The cloud analytics market features numerous leading companies delivering innovative solutions to address the increasing demand for data-driven insights. These firms offer a variety of cloud-based analytics tools that help businesses optimise operations, improve customer experiences, and support strategic decision-making. Their offerings serve a wide range of sectors, including finance, healthcare, retail, and manufacturing.

• IBM Corporation
• Oracle Corporation
• Google LLC
• Microsoft Corporation
• SAP SE
• Hewlett-Packard Development Company, L.P.
• Salesforce.com, Inc
• Hexaware Technologies Limited
• TIBCO Software Inc.
• SAS Institute Inc.
• Teradata Corporation
• MicroStrategy Incorporated
• Sisense
• Atos
• Cloudera, Inc.
• Hitachi Vantara Corporation
• Others

Key Industry Developments

• In March 2025, Carr, Riggs & Ingram (CRI) launched a redesigned website for CRI Advanced Analytics, showcasing services in custom app development, data management, and visualisation. The platform uses real-time dashboards and machine learning to enhance decision-making. This launch, timed with World Backup Day, highlights the importance of strategic data solutions for business success.
• In January 2025, Nebula launched CallSwitch One Analytics, a new software suite designed for SMEs to track staff activity, utilisation, and team performance without third-party solutions. Built in-platform, it offers real-time customisable wallboards, advanced reporting, and flexible business intelligence. The solution simplifies deployment and is available as a monthly subscription add-on.
• In January 2025, RiskSpan launched its MSR Analytics Solution on the Edge Platform, revolutionising the analysis, management, and pricing of mortgage servicing rights (MSRs). The solution offers loan-level analysis, advanced machine learning models, and customisable scenario testing. It enhances pricing accuracy, streamlines data mapping, and supports risk analysis, benefiting MSR traders and investors.
• In January 2025, Practus launched its Business Analytics Solutions Suite, DisruptIQ, featuring Pathsetter AI to provide actionable insights. This suite helps businesses unlock data potential, driving revenue growth, profitability, and long-term value. It aims to offer innovative solutions to enhance decision-making and business performance.
• In December 2024, BBVA launched the Analytics Transformation Unit, uniting over 2,500 data scientists and specialists to advance data-driven services. The unit aims to integrate generative and predictive AI, enhancing personalized products and services. It fosters global collaboration, streamlines processes, and supports data-driven decision-making to boost operational excellence and customer value.
• In October 2024, Mitel launched its MIR Insights AI, an advanced AI-powered analytics solution for customer communication data. This tool automates analysis, offering AI-driven summaries, sentiment detection, and voice transcription in over 100 languages. It helps organisations improve quality management, ensure compliance, and gain actionable insights, enhancing customer service and productivity.

Cloud Analytics Industry Segmentation