Visual Analytics Market Size and Share
Visual Analytics Market Analysis by Mordor Intelligence
The visual analytics market size stands at USD 10.16 billion in 2025 and is projected to reach USD 22.40 billion by 2030, advancing at a 16.76% CAGR. Rising data volumes, the need for real-time contextual insights, and the shift from static reporting to interactive exploration keep demand elevated. Cloud-native delivery, AI-powered augmentation, and low-code tooling make advanced analytics accessible to business users with limited technical skills. Vendors differentiate through embedded natural-language search, automated data preparation, and integration with enterprise collaboration suites. At the same time, procurement cycles lengthen as buyers review security, privacy, and vendor-lock risks before committing to long-term platforms. Strong competition among established providers and specialist challengers supports sustained innovation while keeping overall price pressure moderate.
Key Report Takeaways
- By component, Services are growing at 17.5% CAGR, outpacing software, even as software retained 63.5% revenue share in 2024.
- By deployment mode, Cloud deployment commanded 56.0% of the visual analytics market share in 2024 and is expanding at a 17.8% CAGR through 2030.
- By organization size, Small and medium enterprises are advancing at an 18.1% CAGR, challenging the 69.8% revenue share held by large enterprises in 2024.
- By industry vertical, Healthcare is rising at a 19.0% CAGR, while BFSI continued to lead with 34.4% revenue share in 2024.
- By application, Information Technology applications are growing at an 18.5% CAGR, though Supply Chain and Inventory remained the largest user with 27.1% share in 2024.
- By geography, Asia-Pacific is the fastest-growing region at an 18.2% CAGR through 2030, whereas North America retained 37.2% revenue share in 2024.
Global Visual Analytics Market Trends and Insights
Drivers Impact Analysis
| Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Surge in self-service BI demand | +3.2% | Global, with North America and EU leading adoption | Medium term (2-4 years) |
| Proliferation of big data and diverse sources | +2.8% | Global, with Asia-Pacific experiencing highest data volume growth | Long term (≥ 4 years) |
| Migration to cloud-based analytics platforms | +3.5% | Global, with accelerated adoption in Asia-Pacific and MEA | Short term (≤ 2 years) |
| AI-driven augmented analytics adoption | +4.1% | North America and EU core, expanding to Asia-Pacific | Medium term (2-4 years) |
| Data-fabric / mesh-enabled real-time insights | +1.8% | Enterprise-focused, primarily North America and EU | Long term (≥ 4 years) |
| Rise of employee-experience analytics | +1.2% | Global, with emphasis on developed markets | Medium term (2-4 years) |
| Source: Mordor Intelligence | |||
Surge in Self-Service BI Demand
Business users increasingly bypass IT teams by employing intuitive drag-and-drop interfaces that convert raw data into interactive visuals within minutes. Forty-three percent of executives now prefer tailored self-service applications to static dashboards, a shift supported by low-code tools that empower citizen developers. Tableau Pulse and Einstein Copilot showcase how AI-guided exploration simplifies complex analysis for non-specialists. Adoption is especially strong among small firms that gain enterprise-grade capabilities without hiring large data teams. As workforce expectations rise, boards mandate broad data literacy, reinforcing the self-service imperative.
Proliferation of Big Data and Diverse Sources
Global data creation will exceed 200 zettabytes in 2025, with the bulk arriving as unstructured logs, sensor feeds, and rich media that legacy BI cannot manage [1]Edge Delta, “Data Predictions 2024,” edgedelta.com. Companies merge transactional databases with streaming IoT data and external social signals to generate holistic views. Netflix’s event-driven mesh architecture proves the value of federated pipelines that deliver near real-time intelligence without centralized bottlenecks. Competitive advantage now hinges on unifying variety, not just volume.
Migration to Cloud-Based Analytics Platforms
Three-quarters of enterprise databases will shift to cloud venues in the current planning cycle, reflecting the cost and elasticity benefits unreachable in fixed data centers. SAP’s cloud revenue climbed to EUR 4,993 million (USD 5,393 million) in Q1 2025 as customers modernized ERP and analytics workloads. Instant provisioning, global redundancy, and seamless links to advanced AI services strengthen the appeal of cloud analytics for firms of all sizes.
AI-Driven Augmented Analytics Adoption
Natural-language queries, automated pattern detection, and predictive simulations transform dashboards into proactive decision aids. Tableau integrates Einstein Copilot to craft narratives and recommend next-best actions, reducing reliance on data scientists.[2]Tableau, “Tableau Pulse and the Evolution of Analytics,” tableau.com Healthcare organizations embrace predictive triage and outcome optimization as AI surfaces subtle correlations in clinical data. Although 89% of enterprises plug generative AI into analytic workflows, many continue to strengthen data pipelines to unlock full AI value.
Restraints Impact Analysis
| Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Data security and privacy concerns | -2.1% | Global, with stricter regulations in EU and North America | Short term (≤ 2 years) |
| Shortage of data-literate workforce | -1.8% | Global, with acute shortages in developing markets | Long term (≥ 4 years) |
| Legacy-system integration complexity | -1.3% | Primarily developed markets with established IT infrastructure | Medium term (2-4 years) |
| Vendor lock-in from proprietary SDKs | -0.9% | Enterprise-focused, global impact | Medium term (2-4 years) |
| Source: Mordor Intelligence | |||
Data Security and Privacy Concerns
Tighter regulations such as GDPR and CCPA oblige platforms to apply granular controls, encryption, and anonymization that can degrade analytic performance. HIPAA rules require covered entities to validate end-to-end safeguards before enabling real-time clinical views. Cross-border transfer limits create fragmented data estates that hinder consolidated dashboards. Procurement teams now add multi-month security reviews, slowing project ramp-ups in regulated industries.
Shortage of Data-Literate Workforce
Three of four workers interact with data weekly, yet only one in four feels confident interpreting analytics for decisions, creating internal bottlenecks. Demand for data scientists continues to outpace supply despite projected 36% job growth, leaving many firms reliant on a small cadre of specialists [3]SAS Blogs, “Closing the Data Science Skills Gap,” sas.com. Smaller companies struggle most as they compete with large employers offering premium pay and sophisticated toolchains. Upskilling programs partly close the gap, but progress remains gradual, limiting the speed of analytics rollouts.
Segment Analysis
By Component: Services Accelerate Despite Software Dominance
Software captured 63.5% revenue in 2024 due to ongoing platform licensing, yet services are forecast to expand at a 17.5% CAGR. Consulting, integration, and managed services thrive as enterprises seek data architecture design, governance frameworks, and user-adoption programs. Vendor focus shifts toward outcome-based engagements that link project fees to analytical value creation.
Organizations embracing AI augmentation lean on service partners for model selection, ethical reviews, and change management. As a result, services revenue forms a rising share of the visual analytics market, even though core software remains indispensable for visualization workloads.
By Deployment Mode: Cloud Dominance Accelerates
Cloud deployment contributed 56.0% to the visual analytics market size in 2024 and will widen its lead at 17.8% CAGR to 2030. Elastic compute, automatic upgrades, and usage-based pricing resonate with buyers who want to avoid capital outlays. Microsoft reported USD 40.9 billion in cloud revenue in Q1 2025, underscoring enterprise migration momentum.
Hybrid models persist for sensitive workloads, yet most net-new deployments select a cloud-first stance. As storage gravity shifts and AI services proliferate, cloud-native tooling becomes the default for modern analytics, consolidating share gains for managed platforms.
By Organization Size: SME Growth Challenges Enterprise Leadership
Large enterprises represented 69.8% of the visual analytics market size in 2024, owing to established budgets and complex data estates. However, SMEs are registering an 18.1% CAGR, enabled by affordable SaaS subscriptions that remove infrastructure barriers. Dashboards serve as a primary BI interface for 31.18% of small firms, empowering them to compete on insight rather than scale.[4]MDPI, “Artificial Intelligence in SMEs,” mdpi.com
AI-driven automation reduces skill dependencies, letting lean teams unlock sophisticated models through natural-language prompts. Targeted vendor programs, bundled templates, and pay-as-you-go pricing further accelerate SME adoption across retail, professional services, and manufacturing.
By Industry Vertical: Healthcare Disrupts BFSI Leadership
BFSI accounted for 34.4% of the visual analytics market share in 2024 as banks deploy dashboards for risk, compliance, and customer intelligence. Healthcare is set to outpace all sectors with a 19.0% CAGR through 2030, propelled by AI-assisted diagnostics, real-time patient monitoring, and population-health initiatives.
Insurer analytics remain defensible, yet electronic health records, imaging archives, and wearable data generate explosive growth opportunities. Regulatory incentives for outcome-based reimbursement and the rise of telehealth reinforce investment in scalable visual platforms across hospital networks and life-science firms.
Note: Segment shares of all individual segments available upon report purchase
By Application: IT Analytics Surge Past Supply Chain
Supply Chain and Inventory maintained 27.1% revenue in 2024 as firms streamlined logistics under volatile market conditions. Information Technology functions will post the fastest 18.5% CAGR through 2030 as teams monitor infrastructure, cyber threats, and cloud spend in real time.
IT leaders embed visualization in service desks and DevOps pipelines, turning system telemetry into actionable insights. Meanwhile, Sales, Finance, and HR widen usage for quota tracking, cash-flow views, and employee engagement analytics, extending total addressable demand for the visual analytics industry.
Geography Analysis
North America contributed 37.2% to the visual analytics market size in 2024. Mature cloud infrastructure, strict governance regimes, and abundant talent enable advanced adoption. Federal agencies such as USDA now aggregate more than 150 data sources into unified dashboards to guide program oversight. Scaling focus shifts from first deployments to optimization, automation, and deeper AI integration across commercial and public entities.
Asia-Pacific delivers the highest 18.2% CAGR as enterprises in China, India, Japan, and Southeast Asia leapfrog legacy stacks through mobile-first and cloud-first strategies. Government incentives for smart manufacturing, fintech, and public-service digitization accelerate analytics investment. Telco operators, consumer brands, and e-commerce leaders deploy localized language models to personalize dashboards for non-English users, broadening the visual analytics market.
Europe follows a steady path. GDPR compliance elevates demand for platforms offering field-level security and clear audit trails. Energy transition programs, automotive digitization, and public-sector modernization shape buying behavior. In South America, the Middle East, and Africa, adoption rises from a smaller base as cloud services offset limited local data-center capacity. World-Bank-supported digital-government projects encourage analytics adoption across ministries, utilities, and transport agencies.[5]World Bank, “Digital Transformation of Public Sector,” digital.intosairussia.org
Competitive Landscape
The visual analytics market shows moderate concentration. Microsoft, Tableau, SAP, and IBM blend BI suites with data warehousing, AI, and collaboration features to maintain scale and mindshare. Microsoft integrates Power BI into Teams and Fabric, letting users converse with data inside workflows. Tableau’s semantic-model integration with dbt Labs strengthens lineage and governance, raising switching costs for entrenched users.
Specialists disrupt through differentiated user experiences. ThoughtSpot delivers search-based analytics, Sisense embeds white-label visuals in applications, and HEAVY.AI exploits GPU acceleration for sub-second queries on billions of rows. Cloud hyperscalers deepen influence as Oracle signs USD 30 billion multi-year cloud-infrastructure agreements that bundle analytics and compute at scale. Vendor-lock fears spur interest in open-architecture products that avoid proprietary formats.
Partnership ecosystems expand rapidly. Qlik’s collaboration with AWS accelerates enterprise AI adoption.[6]Qlik, “Strategic Collaboration with AWS,” qlik.com NVIDIA and Deutsche Telekom plan Europe’s first sovereign industrial AI cloud with 10,000 GPUs to power vision analytics, illustrating cross-industry alliances around hardware, cloud, and software stacks. These moves sustain innovation while intensifying competition for talent and customer mindshare.
Visual Analytics Industry Leaders
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Microsoft Corporation
-
Tableau Software LLC (Salesforce, Inc.)
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QlikTech International AB
-
SAP SE
-
SAS Institute Inc.
- *Disclaimer: Major Players sorted in no particular order
Recent Industry Developments
- February 2025: HEAVY.AI formed a strategic partnership with Ookla to deliver GPU-accelerated network-performance visualization to telcos and government agencies.
- January 2025: NVIDIA and Deutsche Telekom launched Europe’s first sovereign industrial AI cloud anchored by 10,000 Blackwell GPUs, scaling to 100,000 by 2027, to support large-scale vision analytics.
- October 2024: Tableau partnered with dbt Labs to enable direct creation of semantic models from dbt Cloud, enhancing trust and lineage.
- September 2024: Tableau released its Microsoft Teams app, permitting users to access AI-powered insights within daily collaboration flows.
Global Visual Analytics Market Report Scope
| Software |
| Services |
| On-Premises |
| Cloud |
| Large Enterprises |
| Small and Medium Enterprises |
| BFSI |
| IT and Telecom |
| Retail and Consumer Goods |
| Manufacturing |
| Healthcare |
| Energy and Utilities |
| Government |
| Transportation and Logistics |
| Sales and Marketing |
| Finance and Operations |
| Supply Chain and Inventory |
| Information Technology |
| Human Resources |
| North America | United States | |
| Canada | ||
| Mexico | ||
| South America | Brazil | |
| Argentina | ||
| Rest of South America | ||
| Europe | Germany | |
| United Kingdom | ||
| France | ||
| Italy | ||
| Spain | ||
| Russia | ||
| Rest of Europe | ||
| Asia-Pacific | China | |
| Japan | ||
| India | ||
| South Korea | ||
| Australia and New Zealand | ||
| Rest of Asia-Pacific | ||
| Middle East and Africa | Middle East | Saudi Arabia |
| United Arab Emirates | ||
| Turkey | ||
| Rest of Middle East | ||
| Africa | South Africa | |
| Nigeria | ||
| Egypt | ||
| Rest of Africa | ||
| By Component | Software | ||
| Services | |||
| By Deployment Mode | On-Premises | ||
| Cloud | |||
| By Organization Size | Large Enterprises | ||
| Small and Medium Enterprises | |||
| By Industry Vertical | BFSI | ||
| IT and Telecom | |||
| Retail and Consumer Goods | |||
| Manufacturing | |||
| Healthcare | |||
| Energy and Utilities | |||
| Government | |||
| Transportation and Logistics | |||
| By Application | Sales and Marketing | ||
| Finance and Operations | |||
| Supply Chain and Inventory | |||
| Information Technology | |||
| Human Resources | |||
| By Geography | North America | United States | |
| Canada | |||
| Mexico | |||
| South America | Brazil | ||
| Argentina | |||
| Rest of South America | |||
| Europe | Germany | ||
| United Kingdom | |||
| France | |||
| Italy | |||
| Spain | |||
| Russia | |||
| Rest of Europe | |||
| Asia-Pacific | China | ||
| Japan | |||
| India | |||
| South Korea | |||
| Australia and New Zealand | |||
| Rest of Asia-Pacific | |||
| Middle East and Africa | Middle East | Saudi Arabia | |
| United Arab Emirates | |||
| Turkey | |||
| Rest of Middle East | |||
| Africa | South Africa | ||
| Nigeria | |||
| Egypt | |||
| Rest of Africa | |||
Key Questions Answered in the Report
What is the current value of the visual analytics market?
The visual analytics market size is valued at USD 10.16 billion in 2025.
How fast will the visual analytics market grow by 2030?
The sector is forecast to expand at a 16.76% CAGR, taking total value to USD 22.40 billion by 2030.
Which deployment mode is growing fastest?
Cloud deployment is advancing at a 17.8% CAGR owing to elastic scaling and lower upfront costs.
Why is healthcare the fastest-growing vertical?
AI-driven diagnostics, real-time patient monitoring, and outcome-based reimbursement push healthcare demand, resulting in a 19.0% CAGR.
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