The global data analytics market size USD 65.57 Billion in 2025. The industry is expected to grow at a CAGR of 20.60% during the forecast period of 2026-2035 to reach a value of USD 426.75 Billion by 2035. The rising adoption of artificial intelligence (AI) and machine learning (ML) is transforming the market, enabling organizations to extract actionable insights from vast, complex datasets and drive real-time, informed decision-making.
Enterprises across sectors are increasingly leveraging these technologies to optimize operations, reduce costs, and maintain a competitive edge. For instance, the U.S. Department of Defense (DoD) released its 2023 Data, Analytics, and AI Adoption Strategy, emphasizing AI and ML integration to enhance operational capabilities and advance defense technologies.
Concurrently, the growing volume and complexity of data generated from IoT devices, social media platforms, and enterprise systems is fueling demand for sophisticated analytics tools within the global data analytics market. A clear example is Telenor IoT’s launch of its Analytics and Insights service on November 2024, which provides businesses with actionable intelligence on their IoT deployments to optimize operations, mitigate risks, and make informed strategic decisions. The platform enables deployment insights, usage analytics, and performance optimization, reflecting how advanced analytics solutions are becoming central to operational efficiency.
Base Year
Historical Period
Forecast Period
Compound Annual Growth Rate
20.6%
Value in USD Billion
2026-2035
*this image is indicative*
| Data Analytics Market Report Summary | Description | Value |
| Base Year | USD Billion | 2025 |
| Historical Period | USD Billion | 2019-2025 |
| Forecast Period | USD Billion | 2026-2035 |
| Market Size 2025 | USD Billion | 65.57 |
| Market Size 2035 | USD Billion | 426.75 |
| CAGR 2019-2025 | Percentage | XX% |
| CAGR 2026-2035 | Percentage | 20.60% |
| CAGR 2026-2035 - Market by Region | Asia Pacific | 23.7% |
| CAGR 2026-2035 - Market by Country | India | 26.5% |
| CAGR 2026-2035 - Market by Country | China | 22.7% |
| CAGR 2026-2035 - Market by Deployment Mode | Cloud | 23.1% |
| CAGR 2026-2035 - Market by Application | Supply Chain Management | 23.3% |
| Market Share by Country 65.57 | France | 3.0% |
The global data analytics market is increasingly enabling proactive infrastructure management by turning real-time data into actionable insights. Advanced sensors and connected systems help identify inefficiencies, safety risks, and maintenance needs, transforming traditional reactive approaches into predictive solutions. In July 2023, Mercedes-Benz USA partnered with Boston to use vehicle sensors for detecting uneven roads, providing anonymized data to optimize maintenance and improve safety. This highlights the market’s role in driving operational efficiency and innovation.
Governments are actively leveraging AI to transform urban management, enhancing service delivery, public safety, and citizen engagement while optimizing resources and infrastructure. Smart city technologies enable real-time monitoring, predictive analytics, and efficient decision-making across transportation, healthcare, and municipal services, in turn, fueling the market growth. For example, Hangzhou launched City Brain 3.0 in March 2025, deploying AI-powered virtual assistants and digital twin analytics to manage over 1,700 projects and issue 2,400 risk alerts, demonstrating how AI drives smarter, safer, and more efficient city operations
The growing complexity of ecommerce and the need for actionable digital insights is driving the global data analytics market demand. Data-driven strategies enable companies to optimize product visibility, monitor competitive positioning, and respond rapidly to shifting consumer preferences. For instance, in May 2024, Unilever partnered with Data Impact by NielsenIQ to leverage digital shelf analytics, enhancing online retail strategies and consumer experiences. This collaboration empowers real-time decision-making and reinforces the value of analytics in driving ecommerce growth.
Manufacturers are increasingly adopting AI-driven predictive analytics to enhance quality, reduce operational risks, and improve production efficiency. Early detection of defects and prescriptive interventions enable companies to minimize scrap, rework, and costly recalls, while maintaining compliance and product excellence. In October 2024, ETQ launched its Predictive Quality Analytics solution in partnership with Acerta Analytics, integrating real-time shop-floor data with AI algorithms to help manufacturers proactively identify production issues, optimize processes, and continuously improve overall product quality.
The defense sector is increasingly adopting data-driven strategies to enhance mission readiness, thereby boosting the global data analytics market demand. Agencies are investing in unified data architectures, advanced analytics, and AI integration to transform complex datasets into actionable insights. DISA’s (Defense Information Systems Agency) 2025–2027 data strategy illustrates this trend by focusing on streamlined data governance and integrating AI and machine learning into operations. It also emphasizes developing a data-literate workforce, showing how a structured, analytics-driven approach can enhance performance and decision-making in high-stakes environments.
The EMR’s report titled “Global Data Analytics Market Report and Forecast 2026-2035” offers a detailed analysis of the market based on the following segments:
Market Breakup by Type
Key Insight: Predictive analytics holds substantial demand, helping organizations forecast trends, manage risks, and optimize performance. Prescriptive analytics is the fastest-growing type, delivering actionable insights for real-time decision-making. Descriptive analytics remains vital for historical performance tracking, exemplified in May 2023 when Aetion introduced its Discover application to provide fast and transparent healthcare insights. Meanwhile, customer analytics is rapidly expanding, driven by businesses focusing on personalization, engagement, and deeper customer understanding.
Market Breakup by Solution
Key Insight: Data management accounts for the largest data analytics market share, driven by rising enterprise data volumes and compliance requirements. Security intelligence is growing rapidly, as businesses invest in threat detection and prevention. Data mining plays a critical role in extracting valuable patterns for strategic planning, while data monitoring supports real-time oversight and operational transparency across business processes.
Market Breakup by Deployment Mode
Key Insight: Cloud deployment dominates the market and represents the fastest-growing segment, as organizations prioritize scalability, flexibility, and cost-efficiency. It also supports advanced use cases such as real-time analytics and global collaboration. Meanwhile, on-premises deployment maintains relevance, particularly for enterprises in regulated sectors that require stringent control over sensitive data and internal information management.
Market Breakup by Application
Key Insight: Supply chain management represents the largest application segment of the global data analytics market, enabling demand forecasting, logistics optimization, and inventory planning. Enterprise resource planning (ERP) and database management are critical for streamlining workflows and integrating organizational data. Human resource management applications are expanding as companies leverage workforce analytics, while others cover niche applications tailored to industry-specific needs.
Market Breakup by Organisation Size
Key Insight: Large enterprises dominate the market, supported by their complex data ecosystems, significant resources, and investment capacity for advanced analytics. However, small and medium enterprises (SMEs) are the fastest-growing segment, increasingly adopting affordable cloud-based solutions to improve decision-making, achieve operational efficiency, and remain competitive in rapidly evolving markets.
Market Breakup by End Use
Key Insight: BFSI holds the largest share of the global data analytics market, relying on advanced analytics for fraud detection, compliance, and customer insights. Healthcare is the fastest-growing end-use segment, fueled by the adoption of electronic health records, telemedicine, and personalized care. IT and telecom, retail and e-commerce, and transport and logistics are also significant adopters, while media and entertainment along with other sectors contribute to steady demand.
Market Breakup by Region
Key Insight: North America leads the market, driven by advanced infrastructure, enterprise adoption, and innovation in cloud and AI technologies. Asia Pacific is the fastest-growing regional market, supported by rapid digitalization, e-commerce growth, and government-led initiatives. Europe remains strong due to compliance-driven adoption, while Latin America and the Middle East and Africa are gradually increasing uptake to enhance operational efficiency and competitiveness.
By type, predictive analytics to gain significant traction
The growth of the global data analytics industry via predictive analytics is being driven by innovations that make advanced modeling accessible to non-technical users. The launch of dotData Enterprise 4.0 in April 2025 exemplifies this trend, introducing a fully redesigned no-code interface and its Feature Factory engine to simplify machine learning development. By enabling analytics professionals with minimal expertise to build accurate predictive models, such platforms are broadening adoption, reducing costs, and accelerating data-driven decision-making across industries.
On the other hand, prescriptive analytics records the fastest-growth rate in the market fueled by the urgent demand for real-time, actionable intelligence. Organizations are actively deploying AI- and machine learning–powered prescriptive tools to not only predict outcomes but also guide strategic actions in areas such as supply chain optimization, fraud detection, and resource allocation. By turning insights into immediate execution, enterprises are achieving faster responses, cost efficiencies, and competitive agility in rapidly changing markets.
By solution, data management to represent the biggest portion of the market
The surge in enterprise data volumes and regulatory compliance requirements is actively driving demand for robust data management solutions in the global data analytics market. Organizations are investing in platforms that simplify legacy system decommissioning, secure historical data, and streamline digital transformation. The March 2024 launch of TJC Americas Inc. exemplifies this trend, as it empowers businesses to reduce IT costs, maintain compliance, and unlock actionable insights from critical SAP and non-SAP datasets, accelerating efficiency and decision-making.
Meanwhile, security intelligence solutions are experiencing are demonstrating the fastest growth rate due to the growing complexity of cyber threats and expanding third-party vendor ecosystems. Companies increasingly require continuous monitoring, real-time threat detection, and dynamic risk assessment to safeguard critical assets and maintain regulatory compliance. For instance, in August 2025, Bitsight launched Bitsight Framework Intelligence, an AI-powered solution that automates security framework mapping and integrates live threat and exposure data. This enables risk teams to operationalize cybersecurity, assess vendors faster, and uncover emerging risks in real time.
By deployment type, cloud to witness higher uptake
Cloud is emerging as a highly preferred deployment method in the data analytics market, as organizations increasingly seek scalable, secure, and collaborative environments to manage large datasets and accelerate AI initiatives. The May 2024 launch of Synapxe HEALIX, a cloud-based analytics platform for Singapore’s public healthcare sector, exemplifies this trend. By unifying data across multiple entities, enabling rapid AI model development, and reducing costs and manpower, cloud platforms empower enterprises to generate faster, actionable insights and enhance operational efficiency.
Besides this, on-premises deployment continues to record steady adoption as enterprises prioritize full control over sensitive and mission-critical data while complying with regulatory requirements. Organizations are actively investing in on-premises platforms to integrate AI, advanced visualization, and predictive analytics within their secure infrastructure. Solutions like Cloudera Data Visualization launched in May 2025 illustrate this trend, by enabling real-time insights, self-service reporting, and cross-team collaboration. Such tools also maintain governance, security, and compliance across the entire data lifecycle, especially in highly regulated industries.
By application, supply chain management record significant growth
Supply chain management applications amass the highest global data analytics market revenue, driven by the increasing demand for real-time visibility, operational efficiency, and predictive insights across complex supply networks. Organizations are adopting AI- and ML-powered analytics to optimize logistics, inventory, and last-mile operations, while digital platforms like Bosch’s Supply Chain Studio launched in April 2025, illustrate how integrated solutions can streamline processes, improve decision-making, and enhance overall supply chain performance on a global scale.
By organization size, large enterprises to generate the highest revenue
Large enterprises are fueling the data analytics industry growth by integrating advanced analytics platforms into their digital ecosystems to manage massive, complex data sets and gain actionable insights. They are actively deploying predictive and prescriptive analytics to optimize global supply chains, mitigate risks, and improve customer engagement strategies. With substantial budgets, these enterprises are investing heavily in scalable platforms and partnerships, enabling real-time intelligence that drives innovation, efficiency, and long-term competitive advantage across industries.
Small and medium enterprises (SMEs) are surging the demand for data analytics solutions as they actively adopt cost-effective, cloud-based analytics tools to enhance agility and competitiveness. By leveraging AI-powered dashboards and predictive modeling, SMEs are improving decision-making and streamlining operations without heavy infrastructure investments. Through analytics, SMEs focus on optimizing customer acquisition, manage cash flow, and accelerate digital transformation, positioning themselves strongly in highly competitive industries.
By end-use, BFSI to generate substantial revenue
The BFSI sector continues to dominate the global data analytics market, attributed to the demand for seamless integration of customer data and actionable insights. Institutions are leveraging advanced platforms to consolidate information from core banking systems, CRM tools, and digital channels, enabling predictive analytics and real-time decision-making. The Appinventiv–MoEngage partnership, formed in August 2025, offers AI-driven, secure, and personalized solutions that enhance customer engagement, optimize product adoption, and ensure regulatory compliance.
Apart from this, healthcare providers are increasingly leveraging electronic health records, telemedicine, and personalized care to generate actionable insights from complex datasets. By analyzing real-world patient data, organizations can optimize treatment strategies, improve outcomes, and enhance operational efficiency. In May 2025, Komodo Health partnered with Nasdaq to deliver de-identified insights from over 330 million patient journeys. This collaboration enables data-driven decision-making, supports forecasting of trends, and helps identify emerging opportunities across the U.S. healthcare ecosystem, enhancing efficiency and strategic planning.
By Region, Asia Pacific to account for the largest share
Asia Pacific has emerged as a key destination for the global data analytics market players as Chief Data and Analytics Officers (CDAOs) increasingly influence enterprise technology investments. IDC predicts that by 2028, 60% of CDAOs in top Asia/Pacific companies will rival CIOs in shaping tech spending. This shift is driven by the adoption of unified data platforms, multimodal data management, and AI integration, enabling CDAOs to standardize data, enhance governance, and deliver actionable insights that drive AI-led innovation, operational efficiency, and business value.
On the other hand, North America market is growing is propelled by the increasing adoption of AI and advanced analytics across public and private sectors. Cities and organizations are investing in data-driven platforms to modernize systems, improve efficiency, reduce costs, and enhance security. Programs like the Bloomberg Philanthropies City Data Alliance announced in August 2025, illustrate this trend, enabling municipalities to leverage analytics and AI to optimize resource allocation, anticipate challenges, and deliver measurable outcomes to citizens.
| CAGR 2026-2035 - Market by | Country |
| India | 26.5% |
| China | 22.7% |
| UK | 18.8% |
| USA | 18.4% |
| Germany | 17.0% |
| Canada | XX% |
| France | XX% |
| Italy | XX% |
| Japan | 14.2% |
| Australia | XX% |
| Saudi Arabia | XX% |
| Brazil | XX% |
| Mexico | XX% |
Leading players in the data analytics market are continuously investing in advanced cloud-based platforms, artificial intelligence, and machine learning capabilities to strengthen their offerings. Their strategies emphasize seamless integration, scalability, and data-driven insights, enabling enterprises across sectors to improve decision-making, enhance productivity, and accelerate digital transformation initiatives.
At the same time, companies are pursuing strategic partnerships, acquisitions, and ecosystem expansion to widen their customer base and maintain competitiveness. Emphasis is placed on real-time analytics, self-service tools, and industry-specific solutions to meet diverse organizational needs. Additionally, expanding global footprints, developing localized data centers, and focusing on regulatory compliance reflect the concerted efforts of these firms to capture new markets and ensure sustainable growth.
SAP SE, founded in 1972 and headquartered in Walldorf, Germany, is a leading enterprise software company specializing in business applications and analytics solutions. Its platforms enable organizations to streamline operations, manage data efficiently, and drive digital transformation across industries worldwide.
Established in 1977 and based in Austin, the United States, Oracle Corporation is renowned for its comprehensive suite of database software, cloud solutions, and analytics tools. The company empowers enterprises with scalable technologies that enhance decision-making and optimize business processes.
International Business Machines Corporation (IBM), founded in 1911 and headquartered in Armonk, New York, is a global leader in cloud computing, artificial intelligence, and data analytics. The company continues to shape enterprise innovation through advanced technologies and industry-driven solutions.
Amazon Web Services, launched in 2006 and headquartered in Seattle, the United States, is a pioneer in cloud infrastructure and analytics services. AWS provides scalable computing power, storage, and advanced data solutions that support businesses of all sizes in driving digital growth.
*Please note that this is only a partial list; the complete list of key players is available in the full report. Additionally, the list of key players can be customized to better suit your needs.*
Other players in the global data analytics market include Teradata Corporation, Salesforce Inc., Accenture Plc, Tableau Software LLC, SAS Institute Inc., Sisense Ltd., QlikTech International AB, and Zoho Corporation Pvt. Ltd., among others.
Explore the latest trends shaping the Global Data Analytics Market 2026-2035 with our in-depth report. Gain strategic insights, future forecasts, and key market developments that can help you stay competitive. Get a free sample report or contact our team for customized consultation on global data analytics market trends 2026.
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*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*
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In 2025, the market reached an approximate value of USD 65.57 Billion.
The market is projected to grow at a CAGR of 20.60% between 2026 and 2035.
The market is estimated to witness a healthy growth in the forecast period of 2026-2035 to reach a value of around USD 426.75 Billion by 2035.
Key strategies driving the market include the integration of AI and ML to generate predictive insights, rapid adoption of cloud-based platforms for scalability, deployment of unified data management systems, and the use of real-time analytics to enhance operational efficiency and decision-making.
The key trends aiding the market expansion include an increase in the use of cloud storage systems, rise of streaming analytics, and expansion of edge computing.
The major regions in the market are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.
The major applications of data analytics includes supply chain management, enterprise resource planning, database management, and human resource management, among others.
The key players in the market include SAP SE, Oracle Corporation, IBM Corporation, Amazon Web Services Inc., Teradata Corporation, Salesforce Inc., Accenture Plc, Tableau Software LLC, SAS Institute Inc., Sisense Ltd., QlikTech International AB, and Zoho Corporation Pvt. Ltd., along with several other emerging participants.
North America holds the largest share of the global data analytics market, supported by advanced infrastructure, strong enterprise adoption, and significant investments in cloud and AI technologies.
Explore our key highlights of the report and gain a concise overview of key findings, trends, and actionable insights that will empower your strategic decisions.
| REPORT FEATURES | DETAILS |
| Base Year | 2025 |
| Historical Period | 2019-2025 |
| Forecast Period | 2026-2035 |
| Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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| Breakup by Type |
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| Breakup by Solution |
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| Breakup by Deployment Mode |
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| Breakup by Application |
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| Breakup by Organisation Size |
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| Breakup by End Use |
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| Breakup by Region |
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| Market Dynamics |
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| Competitive Landscape |
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| Companies Covered |
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