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

According to Mordor Intelligence, the datafication market size is expected to grow from USD 387.2 billion in 2025 to USD 436.68 billion in 2026 and is forecast to reach USD 796.43 billion by 2031 at 12.78% CAGR over 2026-2031.

This report is Segmented by Product Type (Behavioral Datafication, Social Datafication, and More), Component (Solutions, Services), Deployment Mode (Cloud, On-Premises, Edge/Hybrid), Application (Blockchain, Aiops, Cognitive Computing, and More), End-User Vertical (BFSI, Healthcare, IT and Telecom, Government and Defense, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Datafication Market Trends and Insights

Exploding data volumes from IoT and 5G networks

Connected endpoints spurred a surge in data streams that businesses analysed to detect machine faults, manage inventory, and personalise health interventions. Every plant floor, retail shelf, and delivery vehicle fed telemetry into platforms designed to turn raw packets into rapid insight. Organisations processed quintillion-byte quantities each day, a scale that demanded elastic pipelines and edge appliances to prevent latency bottlenecks. Device links supported by 5G added both bandwidth and determinism, allowing real-time feedback loops that once required wired infrastructure. Competitive advantage flowed not from collecting data alone but from shaping architectures that can filter, enrich, and act in the same moment.

Enterprise push for data-driven decision-making

Corporate cultures shifted as leadership teams embedded measurable insight into budgeting, product road-maps, and customer experience playbooks. Chief data officers gained organisational influence, steering governance boards that set quality thresholds and approved data ethics policies. Fujitsu's OneERP+ rollout showcased how unified transaction and operations streams reduced manual reconciliation and accelerated forecast accuracy. Self-service dashboards gave frontline managers the ability to query curated layers without coding, widening the pool of staff who contribute evidence-based recommendations. As adoption widened, firms reported faster time to market and higher customer-lifetime value, reinforcing the strategic importance of the Datafication market.

Acute shortage of data engineering talent

Demand for engineers who design real-time pipelines, optimise streaming frameworks, and align metadata to business taxonomies far exceeded supply. Competition lifted compensation bands and lengthened hiring cycles, prompting firms to reskill DevOps staff and adopt automation that abstracts complexity. Low-code ingestion tools reduced barrier-to-entry for citizen developers, yet sophisticated initiatives still required seasoned architects. Managed services filled gaps, though reliance on external partners sometimes slowed internal capability building. The skills crunch therefore acted as a drag on deployment velocity and inflated total cost of ownership.

Other drivers and restraints analyzed in the detailed report include:

1. Cloud cost compression via FinOps analytics
2. Tighter data-privacy regulations driving compliant tooling
3. Escalating data-sovereignty and cross-border transfer barriers

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

Segment Analysis

Sensor streams redefined frontline decision cycles even though transactional records still produced the largest revenue block in 2025. Transactional processes contributed 31.74% of Datafication market share as enterprises continued to track payments, orders, and supply-chain milestones. The sensor category, however, is projected to expand at 15.48% CAGR, reflecting relentless IoT adoption on shop floors, in logistics depots, and across urban infrastructure. Use cases now encompass vibration alerts in rotating machinery, atmospheric monitoring in cold-chain carriers, and structural health checks on civil assets. Such initiatives elevate predictive maintenance, cut downtime, and elongate asset life, delivering tangible ROI that justifies fresh budgets within the Datafication market size.

Behavioural datasets, derived from click paths and app gestures, support hyper-personalised content curation, while social graphs quantify relationship strength for campaign optimisation. Geospatial signals map congestion, guide last-mile routing, and feed digital twin simulations used by smart-city planners. Each supplemental category enriches the master analytics layer, but sensor-driven visibility continues to drive the steepest adoption curve. Organisations now pair AI inference engines with micro-controllers, enabling immediate response to anomalous patterns without detouring through distant cloud cores. This edge-first posture illustrates how the Datafication market converts raw telemetry into real-time foresight that was previously unattainable.

Solution licences, ranging from data lakes to governance consoles, generated 59.55% of revenue in 2025, yet services contracts are projected to climb 16.02% annually as buyers lean on external expertise. Advisory teams craft road-maps that reconcile technical ambition with process maturity, while implementation squads expedite pipeline builds that meet security and compliance benchmarks. Managed run-state offerings then absorb day-to-day administration, freeing internal analysts to exploit insights rather than patch clusters. This full-lifecycle engagement model reduces project risk and accelerates time-to-value, explaining why the services slice of the Datafication market size is forecast to swell to USD 292.6 billion by 2031.

DataOps frameworks gained prominence, knitting together data engineers, platform site-reliability engineers, and business domain experts in agile sprints that deliver incremental artefacts. Continuous integration pipelines test schema drift and lineage updates, catching errors before they propagate into dashboards. Education packages cultivate literacy among executives, ensuring strategic questions align with what curated datasets can answer. The combined impact tightens feedback loops between insight discovery and operational rollout, reinforcing the virtuous cycle that propels the wider Datafication market.

Complete Report Scope:

• By Product Type
  • Behavioral Datafication
  • Social Datafication
  • Geospatial Datafication
  • Transactional Datafication
  • Sensor Datafication
• By Component
  • Solutions
  • Services (Consulting, Managed)
• By Deployment Mode
  • Cloud
  • On-Premises
  • Edge / Hybrid
• By Application
  • Blockchain
  • AIOps
  • Cognitive Computing
  • Edge Computing
  • FinOps
  • Smart Cities and XR
• By End-user Vertical
  • BFSI
  • Healthcare
  • IT and Telecom
  • Government and Defense
  • Retail and E-commerce
  • Manufacturing
  • Media and Entertainment
  • Education
  • Transportation and Logistics
  • Energy and Utilities
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • 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
      • GCC Countries (Saudi Arabia, UAE, Qatar)
      • Turkey
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

North America led the Datafication market with 34.79% revenue in 2025, supported by deep cloud penetration, venture funding, and mature analytics talent pools. Financial-services firms improved fraud detection by combining transactional flows with behavioural biometrics, while hospitals applied predictive risk scoring to reduce readmissions. Synthetic-data startups flourished, offering privacy-preserving lakes that satisfy state-level mandates.

Asia-Pacific is on track for a 17.05% CAGR, the fastest among major regions. Chinese manufacturers deployed AI-infused edge nodes in smart factories, cutting unplanned downtime and boosting throughput. India's Unified Payments Interface generated granular transaction trails that feed personalised lending models. Southeast Asian economies adopted mobile-first analytics, bypassing legacy desktop constraints and capturing real-time buyer sentiment from super-apps. Local data-residency statutes shaped hybrid-cloud rollouts as hyperscalers opened regional zones.

Europe blended regulatory strictness with technology leadership. GDPR enforcement and the forthcoming Digital Markets Act spurred adoption of privacy-enhancing computation. German industrial clusters connected sensor grids to supply-chain command centres, while EU recovery funds accelerated public-sector modernisation in southern states. GAIA-X advanced sovereign-infrastructure ambitions, giving organisations a regional alternative to non-European hyperscalers.

1. IBM Corporation
2. Amazon Web Services
3. Microsoft Corporation
4. Google LLC
5. Oracle Corporation
6. SAP SE
7. SAS Institute Inc.
8. Snowflake Inc.
9. Databricks
10. Teradata Corporation
11. DataRobot Inc.
12. Matillion
13. QlikTech International AB
14. Alteryx Inc.
15. Informatica
16. Cloudera Inc.
17. Talend (Qlik)
18. Collibra
19. Palantir Technologies
20. ThoughtSpot Inc.
21. Alation
22. Denodo Technologies
23. Couchbase
24. Splunk Inc.
25. Fivetran
26. Elastic NV

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 Exploding data volumes from IoT and 5G networks
  • 4.2.2 Enterprise push for data-driven decision-making
  • 4.2.3 Cloud cost compression via FinOps analytics
  • 4.2.4 Tighter data-privacy regulations driving compliant tooling
  • 4.2.5 Rise of synthetic data marketplaces
  • 4.2.6 Metaverse telemetry creating "metaversal data" demand
• 4.3 Market Restraints
  • 4.3.1 Acute shortage of data engineering talent
  • 4.3.2 Escalating data-sovereignty and cross-border transfer barriers
  • 4.3.3 GPU/AI chip supply chain volatility
  • 4.3.4 Growing end-user fatigue over data monetisation
• 4.4 Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Buyers
  • 4.7.2 Bargaining Power of Suppliers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Intensity of Competitive Rivalry
• 4.8 Investment Analysis
• 4.9 Assessment of Macroeconomic Factor Impact

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Product Type
  • 5.1.1 Behavioral Datafication
  • 5.1.2 Social Datafication
  • 5.1.3 Geospatial Datafication
  • 5.1.4 Transactional Datafication
  • 5.1.5 Sensor Datafication
• 5.2 By Component
  • 5.2.1 Solutions
  • 5.2.2 Services (Consulting, Managed)
• 5.3 By Deployment Mode
  • 5.3.1 Cloud
  • 5.3.2 On-Premises
  • 5.3.3 Edge / Hybrid
• 5.4 By Application
  • 5.4.1 Blockchain
  • 5.4.2 AIOps
  • 5.4.3 Cognitive Computing
  • 5.4.4 Edge Computing
  • 5.4.5 FinOps
  • 5.4.6 Smart Cities and XR
• 5.5 By End-user Vertical
  • 5.5.1 BFSI
  • 5.5.2 Healthcare
  • 5.5.3 IT and Telecom
  • 5.5.4 Government and Defense
  • 5.5.5 Retail and E-commerce
  • 5.5.6 Manufacturing
  • 5.5.7 Media and Entertainment
  • 5.5.8 Education
  • 5.5.9 Transportation and Logistics
  • 5.5.10 Energy and Utilities
• 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 Germany
    • 5.6.3.2 United Kingdom
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Russia
    • 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 Australia and New Zealand
    • 5.6.4.6 Rest of Asia-Pacific
  • 5.6.5 Middle East and Africa
    • 5.6.5.1 Middle East
      • 5.6.5.1.1 GCC Countries (Saudi Arabia, UAE, Qatar)
      • 5.6.5.1.2 Turkey
      • 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 Nigeria
      • 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 for key companies, Products and Services, and Recent Developments)
  • 6.4.1 IBM Corporation
  • 6.4.2 Amazon Web Services
  • 6.4.3 Microsoft Corporation
  • 6.4.4 Google LLC
  • 6.4.5 Oracle Corporation
  • 6.4.6 SAP SE
  • 6.4.7 SAS Institute Inc.
  • 6.4.8 Snowflake Inc.
  • 6.4.9 Databricks
  • 6.4.10 Teradata Corporation
  • 6.4.11 DataRobot Inc.
  • 6.4.12 Matillion
  • 6.4.13 QlikTech International AB
  • 6.4.14 Alteryx Inc.
  • 6.4.15 Informatica
  • 6.4.16 Cloudera Inc.
  • 6.4.17 Talend (Qlik)
  • 6.4.18 Collibra
  • 6.4.19 Palantir Technologies
  • 6.4.20 ThoughtSpot Inc.
  • 6.4.21 Alation
  • 6.4.22 Denodo Technologies
  • 6.4.23 Couchbase
  • 6.4.24 Splunk Inc.
  • 6.4.25 Fivetran
  • 6.4.26 Elastic NV

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-Need Assessment