데이터 히스토리안 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the data historian market size in 2026 is estimated at USD 1.41 billion, growing from 2025 value of USD 1.32 billion with 2031 projections showing USD 1.99 billion, growing at 7.05% CAGR over 2026-2031.

This report is Segmented by Component (Software, Services), by Deployment Mode (On-Premise, Cloud), by End-User (Oil and Gas, Power and Utilities, Paper and Pulp, Chemicals and Petrochemicals, Metals and Mining, and More), by Data Frequency (Real-Time, Near-Real-Time, and Batch/Periodic), and by Geography. The Market Sizes and Forecasts are Provided in Terms of Value (USD).

Global Data Historian Market Trends and Insights

Increasing Demand for Consolidated Data to Optimize Industrial Performance

Manufacturing groups are replacing siloed storage silos with unified historian platforms that merge production, maintenance, and quality datasets. Procter & Gamble's adoption of GE Vernova's cloud historian illustrates a 50% reduction in process-setup time through integrated asset and ERP data streams. Contextual data-modeling now automatically links disparate tags, helping operators pinpoint upstream causes of downstream quality deviations and report sustainability metrics with audit-ready lineage.

Rising Volumes of Industrial IoT Big Data Streams

Smart-sensor proliferation is lifting ingestion rates from thousands to millions of tags per second, straining traditional monolithic databases. China's industrial output expanded 5.6% year-on-year in May 2024, accompanied by a 10.0% surge in high-tech manufacturing, underscoring rapidly growing data loads that require compression algorithms and edge-analytics nodes.Vendors are responding with containerized micro-services that auto-scale and route non-critical packets to tier-two storage, preserving bandwidth at remote facilities.

High Total Cost of Ownership for Enterprise-Wide Historian Roll-Outs

End-to-end projects require licenses, specialized hardware, integration services, and ongoing upgrades that can inflate capital outlays by 300%. Rockwell Automation's FY 2024 results revealed a 21% revenue decline, reflecting hesitation to commit fresh budgets amid macro uncertainty. Hidden costs include tag rationalization, data cleansing, performance tuning, and workforce upskilling, constraining adoption among mid-tier manufacturers.

Other drivers and restraints analyzed in the detailed report include:

1. Migration of Legacy Historians to Cloud-Native, Micro-Service Architectures
2. Vendor Bundling of Historian Functionality Inside Full-Stack OT Platforms
3. Cybersecurity Concerns Over Exposing OT Data to IT Networks/Cloud

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

Segment Analysis

Software accounted for 65.60% of the data historian market share in 2025, validating preference for unified suites that blend collection, storage, analytics, and visualization. Vendors increasingly deliver subscription models that bundle time-series compression, asset models, and no-code dashboards, reducing tool sprawl inside plant networks. The services segment is advancing at a 8.85% CAGR through 2031 as operators enlist integration partners for OT-IT convergence, cybersecurity patching, and AI pipeline orchestration. HighByte's USD 12 million financing round showcased investor appetite for Industrial DataOps services that unlock historian data across multi-vendor fleets.

The data historian market size upside remains tied to managed-services adoption, where providers monetize continuous optimization, model retraining, and regulatory reporting. As customers outsource historian lifecycle management, specialist consultancies deepen domain differentiation in pharmaceuticals, energy, and food & beverage, boosting recurring revenue visibility and reinforcing the platform-plus-services paradigm of the data historian market.

On-premise deployments retained 70.90% of the data historian market in 2025 due to latency sensitivity, sovereignty mandates, and ingrained procurement habits in hazardous industries. Plants continue to upgrade rack-mounted appliances, deploy redundant fail-over clusters, and maintain air-gapped backup nodes. Simultaneously, cloud instances are gaining 8.20% CAGR as CIOs pursue elastic capacity, managed security postures, and micro-service agility. Regulatory bodies now publish guidance on hosting process data in approved public regions, diminishing historical barriers.

Hybrid topologies are becoming mainstream in the data historian market as organizations stream low-frequency tags to the cloud while preserving real-time loops locally. Cloud vendors provide edge gateways with deterministic fail-safe modes, encouraging shift-and-lift of historical datasets for AI model training. Over the forecast horizon, total cost of ownership comparisons will continue to favor consumption-based billing, hastening workload migration in discrete manufacturing and fast-growing electrification verticals.

Complete Report Scope:

• By Component
  • Software
  • Services
• By Deployment Mode
  • On-premise
  • Cloud
• By End-user Industry
  • Oil and Gas
  • Power and Utilities
  • Chemicals and Petrochemicals
  • Pulp and Paper
  • Metals and Mining
  • Water and Waste-water
  • Data Centers
  • Food and Beverages
  • Pharmaceuticals
• By Data Frequency
  • Real-time (<1 sec)
  • Near-real-time (1 sec - 1 min)
  • Batch / Periodic (>1 min)
• 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
  • APAC
    • China
    • Japan
    • India
    • South Korea
    • Australia and New Zealand
    • Southeast Asia
    • Rest of APAC
  • Middle East
    • Saudi Arabia
    • UAE
    • Turkey
    • Rest of Middle East
  • Africa
    • South Africa
    • Egypt
    • Nigeria
    • Rest of Africa

Geography Analysis

North America dominates the data historian market with 35.10% share in 2025, underwritten by large installed bases in oil & gas, power generation, and automotive assembly. Federal infrastructure programs and workforce modernization grants accelerate retrofits of aging DCS nodes into API-enabled historians. Siemens' USD 10 billion investments in Texas and California illustrate how OEM manufacturing and AI data-center growth reinforce domestic demand.

Asia-Pacific delivers the fastest CAGR at 8.25% through 2031 on the back of China's data-economy blueprint and Japan's advanced robotics initiatives. Hitachi and Microsoft plan to upskill 50,000 staff in generative-AI methodologies, highlighting the human-capital dimension of historian adoption. Indian policy incentives for semiconductor fabs and electric-vehicle battery plants further enlarge the regional pipeline of green-field historian installations. Also, Beijing's three-year action plan targets 20% annual data-industry growth and over 300 use-case demonstrations, highlighting strong policy support. Europe maintains steady contributions under reinforced GDPR 2024 mandates that formalize retention, audit, and transfer rules.

Europe records moderate growth as revised GDPR provisions and the Digital Operational Resilience Act compel firms to prove lineage, access controls, and immutability of industrial data. Energy-intensive industries adopt historians to certify carbon-footprint disclosures, while EU investment in hydrogen value chains triggers demand for high-frequency data capture across electrolyzer fleets. Emerging economies in Latin America, Middle East, and Africa remain nascent yet attractive long-term opportunities as they install new process plants without legacy constraints, enabling direct leapfrog to cloud-ready historian topologies within the data historian market.

List of Companies Covered in this Report:

1. AVEVA Group plc (incl. PI System)
2. Honeywell International Inc.
3. Siemens AG
4. General Electric Company
5. ABB Group
6. Emerson Electric Co.
7. Rockwell Automation Inc.
8. Schneider Electric SE
9. Yokogawa Electric Corp.
10. Aspen Technology Inc.
11. Inductive Automation LLC
12. Canary Labs Inc.
13. ICONICS Inc.
14. Mitsubishi Electric Corp.
15. Kongsberg Digital AS
16. Hitachi Energy Ltd.
17. Open Automation Software LLC
18. Wonderware (AVEVA)
19. InduSoft (Schneider)
20. Softing AG

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 Increasing demand for consolidated data to optimize industrial performance
  • 4.2.2 Rising volumes of industrial IoT big data streams
  • 4.2.3 Migration of legacy historians to cloud-native, micro-service architectures
  • 4.2.4 Vendor bundling of historian functionality inside full-stack OT platforms
  • 4.2.5 Regulations mandating long-term process data retention in regulated industries
  • 4.2.6 Rapid adoption of AI/ML requiring clean historical datasets
• 4.3 Market Restraints
  • 4.3.1 High total cost of ownership for enterprise-wide historian roll-outs
  • 4.3.2 Cyber-security concerns over exposing OT data to IT networks/cloud
  • 4.3.3 Shortage of OT-IT convergence skillsets to manage historian projects
  • 4.3.4 Vendor lock-in due to proprietary data models and licensing schemes
• 4.4 Value / Supply-Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Suppliers
  • 4.7.2 Bargaining Power of Buyers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Intensity of Competitive Rivalry
• 4.8 Investment and Funding Analysis

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 End-user Industry
  • 5.3.1 Oil and Gas
  • 5.3.2 Power and Utilities
  • 5.3.3 Chemicals and Petrochemicals
  • 5.3.4 Pulp and Paper
  • 5.3.5 Metals and Mining
  • 5.3.6 Water and Waste-water
  • 5.3.7 Data Centers
  • 5.3.8 Food and Beverages
  • 5.3.9 Pharmaceuticals
• 5.4 By Data Frequency
  • 5.4.1 Real-time (<1 sec)
  • 5.4.2 Near-real-time (1 sec - 1 min)
  • 5.4.3 Batch / Periodic (>1 min)
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Rest of South America
  • 5.5.3 Europe
    • 5.5.3.1 Germany
    • 5.5.3.2 United Kingdom
    • 5.5.3.3 France
    • 5.5.3.4 Italy
    • 5.5.3.5 Spain
    • 5.5.3.6 Russia
    • 5.5.3.7 Rest of Europe
  • 5.5.4 APAC
    • 5.5.4.1 China
    • 5.5.4.2 Japan
    • 5.5.4.3 India
    • 5.5.4.4 South Korea
    • 5.5.4.5 Australia and New Zealand
    • 5.5.4.6 Southeast Asia
    • 5.5.4.7 Rest of APAC
  • 5.5.5 Middle East
    • 5.5.5.1 Saudi Arabia
    • 5.5.5.2 UAE
    • 5.5.5.3 Turkey
    • 5.5.5.4 Rest of Middle East
  • 5.5.6 Africa
    • 5.5.6.1 South Africa
    • 5.5.6.2 Egypt
    • 5.5.6.3 Nigeria
    • 5.5.6.4 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 for key companies, Products and Services, and Recent Developments)
  • 6.4.1 AVEVA Group plc (incl. PI System)
  • 6.4.2 Honeywell International Inc.
  • 6.4.3 Siemens AG
  • 6.4.4 General Electric Company
  • 6.4.5 ABB Group
  • 6.4.6 Emerson Electric Co.
  • 6.4.7 Rockwell Automation Inc.
  • 6.4.8 Schneider Electric SE
  • 6.4.9 Yokogawa Electric Corp.
  • 6.4.10 Aspen Technology Inc.
  • 6.4.11 Inductive Automation LLC
  • 6.4.12 Canary Labs Inc.
  • 6.4.13 ICONICS Inc.
  • 6.4.14 Mitsubishi Electric Corp.
  • 6.4.15 Kongsberg Digital AS
  • 6.4.16 Hitachi Energy Ltd.
  • 6.4.17 Open Automation Software LLC
  • 6.4.18 Wonderware (AVEVA)
  • 6.4.19 InduSoft (Schneider)
  • 6.4.20 Softing AG

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-need Assessment