시각적 분석 시장 : 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the visual analytics market size is projected to expand from USD 10.16 billion in 2025 and USD 11.86 billion in 2026 to USD 26.78 billion by 2031, registering a CAGR of 17.69% between 2026 and 2031.

This report is Segmented by Component (Software, and Services), Deployment Mode (On-Premises, and Cloud), Organization Size (Large Enterprises, and Small and Medium Enterprises), Industry Vertical (BFSI, IT and Telecom, Retail and Consumer Goods, and More), Application (Sales and Marketing, Finance and Operations, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Visual Analytics Market Trends and Insights

Growing Cloud-Based Data Generation

Enterprise data estates are expanding rapidly, with about 90% residing in unstructured silos by early 2026. Zero-copy query patterns now let users analyze that data in place, cutting extract-transform-load overhead and avoiding hyperscaler lock-in. GPU-accelerated engines accelerate unstructured analytics, while unified semantic layers merge structured and unstructured metadata, enabling projects to move from pilot to production. Hybrid architectures remain entrenched because data residency rules, latency needs, and price-performance trade-offs make single-cloud strategies risky.

Rising Demand for Self-Service BI Platforms

Organizations that emphasize user experience, governance, and executive sponsorship lift casual-user adoption from 15-25% to 40-60% within six months. Five-year total cost of ownership for mid-market deployments fell to USD 1.0-1.4 million in 2025, aided by consumption pricing and automated lineage. Yet 70% of projects still stall because cultural change, data quality, and training gaps outpace tooling. Federated, zero-copy designs blend local agility with centralized control, while semantic layers enforce row-level security and consistent metrics.

High Total Cost of Ownership for SMEs

Mid-market analytics projects cost USD 1.0-1.5 million over five years, with service fees and infrastructure often dwarfing license spend. Under-utilized deployments push per-user expense from USD 1,000 to USD 30,000, deterring adoption. Hidden cloud costs range from USD 1,000 to more than USD 50,000 per month, while ongoing maintenance consumes 10-15% of implementation budgets. Consumption-based Spark billing can trim 40% for bursty workloads, but SMEs still need granular usage monitoring to prevent bill shocks

Other drivers and restraints analyzed in the detailed report include:

1. Proliferation of IoT Devices Driving Real-Time Analytics
2. Increasing Regulatory Reporting Requirements
3. Data Quality and Silos Limiting Insights

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Software captured 71.73% of 2025 revenue by monetizing licenses for cloud-native BI suites, semantic modeling engines, and embedded analytics. These tools have become essential for organizations aiming to streamline decision-making processes and enhance operational efficiency. However, services are expanding at a 19.49% CAGR as enterprises increasingly demand implementation blueprints, managed operations, and data-literacy programs. These services are designed to double user adoption within six months, addressing critical skills gaps across finance, supply chain, and revenue cycle functions. Professional services typically consume USD 250,000-750,000 in mid-market projects, while outcome-based contracts tie fees to measurable KPI gains, such as 2-4-point net-collection improvements, ensuring a clear return on investment for clients.

The visual analytics services market is projected to grow faster than the software market, driven by the integration of AI-powered data-prep assistants and proactive monitoring agents. These innovations significantly reduce manual effort, enabling organizations to focus on strategic initiatives. Partnerships like Tableau Einstein Alliance and Qlik service collaborations now offer bundled solutions, including migration automation, semantic-layer design, and comprehensive training modules. These bundled offerings enhance partner stickiness, streamline deployment processes, and reduce time-to-insight, making them highly attractive to enterprises looking to accelerate their analytics capabilities.

Cloud workloads accounted for 63.43% of 2025 spending and are forecast to compound at 18.49% through 2031 as Delta Lake, Parquet, and Apache Iceberg standardization curbs vendor lock-in. This growth is driven by the increasing adoption of cloud-native technologies that offer scalability, flexibility, and cost efficiency. Microsoft Fabric's Direct Lake and SAP's live Snowflake connectors illustrate a shift toward zero-copy query paths that align governance and latency needs without wholesale replication. These advancements enable organizations to streamline data processing and analytics while maintaining compliance with data governance policies. Autoscale billing for Spark workloads lowers total cost of ownership, making cloud viable for bursty analytics and experimentation, particularly in industries requiring rapid data insights.

On-premise instances persist in regulated industries and sovereign-AI deployments where data residency and air-gapped operations remain mandatory. These industries, such as healthcare, finance, and government, prioritize data security and compliance, which require on-premises solutions. Hybrid approaches hence dominate architecture roadmaps, combining the benefits of cloud scalability with the control of on-premise systems. Vendors that enable policy coordination across environments gain share because they reduce migration risk and compliance exposure. This hybrid model allows organizations to optimize their IT infrastructure while addressing specific regulatory and operational requirements.

Geography Analysis

North America held 38.23% of 2025 revenue, supported by USD 357 billion in U.S. government technology budgets and 3,611 documented federal AI use cases. The region benefits from strong investments in cloud infrastructure, AI-driven solutions, and digital transformation initiatives across various industries. Agencies are accelerating the adoption of cloud foundations, unified data fabrics, and model-assurance tooling, favoring vendors that deliver provenance, auditability, and U.S.-hosted regions. Additionally, legacy modernization needs, Buy American stipulations, and transparency in software bill of materials amplify demand for platforms that offer verifiable sourcing and explainable outputs. The presence of major technology providers and a robust regulatory framework further strengthens the region's position in the market.

Asia-Pacific is the fastest-growing region, with a 18.69% CAGR through 2031. TSovereign AI rules, on-device inference requirements, and the increasing adoption of low-code platforms in manufacturing clusters are driving the region's growth. These factors, combined with the implementation of OPC-UA and MQTT standards, enable factory-wide predictive models and enhance operational efficiency. Edge deployments are gaining traction as they reduce network costs and latency, while localized interfaces broaden user bases in languages such as Japanese, Korean, and Mandarin. The region's diverse industrial base, coupled with government initiatives to promote digitalization, positions it as a key growth area for the market.

Europe maintains steady momentum due to GDPR and data-sovereignty laws that cement hybrid architectures. The region's focus on data privacy and compliance drives the adoption of solutions that align with stringent regulatory requirements. Hybrid architectures, which combine on-premises and cloud-based systems, are increasingly preferred to ensure data security and operational flexibility. South America, the Middle East, and Africa are trailing but show rising interest in consumption pricing and pre-built semantic models to offset skills gaps. However, connectivity constraints and budget pressures still temper uptake in these regions. Despite these challenges, growing awareness of the benefits of AI-driven solutions and increasing investments in digital infrastructure are expected to support gradual market growth in these areas.

1. Tableau Software LLC
2. QlikTech International AB
3. TIBCO Software Inc.
4. SAS Institute Inc.
5. Microsoft Corporation
6. International Business Machines Corporation
7. Oracle Corporation
8. SAP SE
9. MicroStrategy Incorporated
10. Sisense Inc.
11. Alteryx Inc.
12. Domo Inc.
13. Dundas Data Visualization Inc.
14. Looker Data Sciences LLC
15. Zoho Corporation Pvt. Ltd.
16. Infor, Inc.
17. Information Builders, Inc.
18. Yellowfin International Pty Ltd
19. Board International SA
20. ThoughtSpot Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Growing Cloud-based Data Generation
  • 4.2.2 Rising Demand for Self-Service BI Platforms
  • 4.2.3 Proliferation of IoT Devices Driving Real-Time Analytics
  • 4.2.4 Increasing Regulatory Reporting Requirements
  • 4.2.5 Emergence of Low-Code Visual Analytics Tools
  • 4.2.6 Edge Analytics Adoption in Industrial Settings
• 4.3 Market Restraints
  • 4.3.1 High Total Cost of Ownership for SMEs
  • 4.3.2 Data Quality and Silos Limiting Insights
  • 4.3.3 Shortage of Skilled Data Visualization Professionals
  • 4.3.4 Vendor Lock-in Concerns with Proprietary Platforms
• 4.4 Impact of Macroeconomic Factors on the Market
• 4.5 Industry Value Chain Analysis
• 4.6 Regulatory Landscape
• 4.7 Technological Outlook
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Bargaining Power of Suppliers
  • 4.8.2 Bargaining Power of Buyers
  • 4.8.3 Threat of New Entrants
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Software
  • 5.1.2 Services
• 5.2 By Deployment Mode
  • 5.2.1 On-Premise
  • 5.2.2 Cloud
• 5.3 By Application
  • 5.3.1 Sales and Marketing
  • 5.3.2 Finance and Accounting
  • 5.3.3 Operations
  • 5.3.4 Supply Chain and Logistics
  • 5.3.5 Human Resources
  • 5.3.6 Customer Service and Support
  • 5.3.7 Other Applications
• 5.4 By Organization Size
  • 5.4.1 Large Enterprises
  • 5.4.2 Small and Medium Enterprises
• 5.5 By End-User Industry
  • 5.5.1 Banking, Financial Services and Insurance (BFSI)
  • 5.5.2 Retail and eCommerce
  • 5.5.3 Healthcare and Life Sciences
  • 5.5.4 Manufacturing
  • 5.5.5 Information Technology and Telecommunications
  • 5.5.6 Government and Public Sector
  • 5.5.7 Media and Entertainment
  • 5.5.8 Energy and Utilities
  • 5.5.9 Transportation and Logistics
  • 5.5.10 Other End-User Industries
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 United Kingdom
    • 5.6.3.2 Germany
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Spain
    • 5.6.3.6 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 Japan
    • 5.6.4.3 India
    • 5.6.4.4 South Korea
    • 5.6.4.5 Rest of Asia-Pacific
  • 5.6.5 Middle East and Africa
    • 5.6.5.1 Middle East
      • 5.6.5.1.1 United Arab Emirates
      • 5.6.5.1.2 Saudi Arabia
      • 5.6.5.1.3 Rest of Middle East
    • 5.6.5.2 Africa
      • 5.6.5.2.1 South Africa
      • 5.6.5.2.2 Egypt
      • 5.6.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 Tableau Software LLC
  • 6.4.2 QlikTech International AB
  • 6.4.3 TIBCO Software Inc.
  • 6.4.4 SAS Institute Inc.
  • 6.4.5 Microsoft Corporation
  • 6.4.6 International Business Machines Corporation
  • 6.4.7 Oracle Corporation
  • 6.4.8 SAP SE
  • 6.4.9 MicroStrategy Incorporated
  • 6.4.10 Sisense Inc.
  • 6.4.11 Alteryx Inc.
  • 6.4.12 Domo Inc.
  • 6.4.13 Dundas Data Visualization Inc.
  • 6.4.14 Looker Data Sciences LLC
  • 6.4.15 Zoho Corporation Pvt. Ltd.
  • 6.4.16 Infor, Inc.
  • 6.4.17 Information Builders, Inc.
  • 6.4.18 Yellowfin International Pty Ltd
  • 6.4.19 Board International SA
  • 6.4.20 ThoughtSpot Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment