비즈니스 분석 시장 : 점유율 분석, 산업 동향, 통계, 성장 예측(2025-2030년)

The business analytics market is valued at USD 91 billion in 2025 and is forecast to reach USD 138.24 billion by 2030, reflecting an 8.70% CAGR over the period.

Cloud-native platforms, AI-driven automation, and a widespread push for digital transformation underpin this expansion. Organizations across industries now embed analytics into day-to-day workflows to uncover inefficiencies, sharpen customer engagement, and shorten decision cycles. The convergence of artificial intelligence with established analytics stacks is shifting the discipline from retrospective reporting toward real-time predictive intelligence, while pervasive cloud adoption lowers entry barriers for firms of every size. Competitive intensity remains lively as incumbent enterprise software vendors revamp portfolios to match the pace set by cloud specialists and AI-first start-ups that promise faster deployment and simpler user experiences. Talent shortages, data-sovereignty rules, and high initial costs continue to temper growth yet have not derailed the structural migration toward data-centric operations.

Global Business Analytics Market Trends and Insights

AI and ML infusion into analytics platforms

Artificial intelligence has shifted from a bolt-on feature to a core capability within business analytics platforms. New releases such as Snowflake Cortex and Microsoft 365 Copilot's Analyst agent interpret natural language, auto-generate SQL, and surface predictive insights that once required a data scientist. Companies adopting these capabilities report 30-50% productivity lifts in marketing, supply-chain, and finance teams. As model training costs fall, platform vendors embed generative AI to widen access and automate data preparation, ushering in an era of "agentic analytics" where autonomous agents orchestrate complex analysis pipelines without human coding.

Proliferation of big data and cloud adoption

Volume, velocity, and variety of data keep rising. More than 6,000 organizations exchange upward of 275 petabytes each week on BigQuery, highlighting how elastic cloud storage and compute have become the default substrate for analytics. Joint innovation programs, such as the five-year agreement between ClickHouse and AWS, accelerate purpose-built solutions for finance and e-commerce workloads. Cloud frameworks also let firms pair localized IoT data processing with centralized dashboards, delivering 10% gains in equipment efficiency and 30% reductions in unplanned downtime in industrial settings.

Data-sovereignty restrictions

Conflicting rules among GDPR, the CLOUD Act, and emerging national laws force multinationals to architect region-specific data stacks. Deployments must ensure local processing, encrypted transfers, and auditable consent, adding cost and complexity.Sovereign-cloud offerings from hyperscalers and regional providers address the issue, yet organizations still juggle multiple vendors and controls to satisfy regulators without fracturing analytical coherence.

Other drivers and restraints analyzed in the detailed report include:

1. Need for real-time decision-making
2. Edge analytics for IoT-heavy industries
3. Talent shortage in advanced analytics

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

Segment Analysis

The cloud segment accounts for 65.4% of 2024 revenue, and its 10.7% CAGR means it will command an even larger slice of the business analytics market size by 2030. Lower capital expenditure, elastic scaling, and rapid integration with data lakes and AI services cement its appeal. Security certifications and automated compliance features now cover finance, healthcare, and government workloads, eroding the last strongholds of on-premise advocates.

On-premise deployments persist where strict latency, legacy integration, or regulatory mandates prevail, but their share recedes every year. Hybrid blueprints, in which sensitive workloads stay behind the firewall while burst processing moves to the cloud, offer a transitional path. Providers bundle migration toolkits, managed services, and consumption-based pricing to nudge hesitant customers toward the cloud, reinforcing its position as both market leader and growth engine.

Descriptive analytics retained 32.7% of 2024 revenue, the largest slice of the business analytics market, yet predictive techniques outpace all categories with an 8.8% CAGR. Organizations evolve from "what happened" dashboards to forward-looking models that flag churn risk, optimize inventory, and route maintenance crews before breakdowns occur. Generative AI enhances predictive workflows by auto-coding complex time-series models and surfacing scenario simulations for non-technical users.

Diagnostic analytics serves as a bridge, explaining root causes and feeding features into forecasting algorithms. Prescriptive tools close the loop by recommending the best action under constraints such as budget or staffing. Early success stories like a consumer-products maker saving up to USD 200,000 weekly through optimized production schedules fuel wider adoption. As toolkits mature, predictive and prescriptive layers will jointly convert historical data into automated, context-aware decisions across functions.

Business Analytics Market is Segmented by Deployment Model (On-Premises, Cloud), Analytics Type (Descriptive, Diagnostic, and More), Organization Size (Large Enterprises, Smes), End-User Industry (BFSI, Healthcare and Life Sciences, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Geography Analysis

North America holds 27.4% of 2024 revenue thanks to a mature technology ecosystem, abundant talent, and early cloud adoption. Enterprises refine existing platforms with AI accelerators, streaming pipelines, and automated governance, squeezing incremental efficiency from established data assets. The United States leads spending, and Canada leverages analytics in natural-resources and financial-services verticals. Mexico adopts cloud platforms to support export-oriented manufacturing and cross-border logistics.

Asia Pacific is the fastest-growing region at a 10.3% CAGR, fueled by government AI strategies, widespread mobile adoption, and greenfield cloud deployments. China commands 37.5% of the regional business analytics market, backed by large-scale digital payment ecosystems and industrial upgrade programs. High-growth economies such as Vietnam and the Philippines exceed 19% annual expansion as SMEs embrace SaaS analytics to leapfrog legacy systems. India, Japan, South Korea, and Thailand channel public-sector grants into workforce upskilling and data-ecosystem development, creating fertile ground for platform vendors.

Europe advances steadily underpinned by strong privacy regulations and industry digitization funding. Germany, France, and the United Kingdom deploy analytics for manufacturing efficiency and financial compliance, while southern nations expand tourism and retail analytics use cases. Sovereign-cloud frameworks and privacy-enhancing technologies address GDPR-driven demands. The Middle East and Africa benefit from smart-city agendas, especially in the Gulf states, whereas South America gains traction through cloud uptake in Brazil and Argentina, although infrastructure gaps and currency volatility temper the slope of adoption

1. Microsoft Corp.
2. SAP SE
3. Oracle Corp.
4. IBM Corp.
5. Salesforce Inc. (Tableau)
6. SAS Institute Inc.
7. TIBCO Software Inc.
8. Qlik Tech Intl.
9. MicroStrategy Inc.
10. Infor Inc.
11. Google LLC (Looker)
12. Amazon Web Services (QuickSight)
13. Domo Inc.
14. Sisense Ltd.
15. ThoughtSpot Inc.
16. Alteryx Inc.
17. Zoho Corp. (Zoho Analytics)
18. Board International
19. GoodData Corp.
20. Yellowfin BI
21. Pyramid Analytics
22. Logi Analytics (InsightSoftware)
23. Teradata Corp.
24. Informatica Inc.
25. Palantir Technologies
26. Snowflake Inc.
27. Databricks 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 Proliferation of big data and cloud adoption
  • 4.2.2 Need for real-time decision-making
  • 4.2.3 AI/ML infusion into analytics platforms
  • 4.2.4 Regulatory push for data-driven compliance
  • 4.2.5 Edge analytics for IoT-heavy industries
  • 4.2.6 Privacy-preserving data clean rooms
• 4.3 Market Restraints
  • 4.3.1 High upfront cost and ROI uncertainty
  • 4.3.2 Talent shortage in advanced analytics
  • 4.3.3 Data-sovereignty restrictions
  • 4.3.4 ESG-data quality gaps
• 4.4 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 Assesment of Macroeconomic Factors on the Market

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Deployment Model
  • 5.1.1 On-Premise
  • 5.1.2 Cloud
• 5.2 By Analytics Type
  • 5.2.1 Descriptive
  • 5.2.2 Diagnostic
  • 5.2.3 Predictive
  • 5.2.4 Prescriptive
• 5.3 By Organisation Size
  • 5.3.1 Large Enterprises
  • 5.3.2 Small and Mid-sized Enterprises (SMEs)
• 5.4 By End-user Industry
  • 5.4.1 Banking, Financial Services and Insurance (BFSI)
  • 5.4.2 Healthcare and Life Sciences
  • 5.4.3 Manufacturing
  • 5.4.4 Retail and E-commerce
  • 5.4.5 Telecom and IT
  • 5.4.6 Government and Public Sector
  • 5.4.7 Energy and Utilities
  • 5.4.8 Others
• 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 Rest of Europe
  • 5.5.4 Asia-Pacific
    • 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 Southeast Asia
    • 5.5.4.6 Rest of Asia-Pacific
  • 5.5.5 Middle East and Africa
    • 5.5.5.1 Middle East
    • 5.5.5.1.1 Saudi Arabia
    • 5.5.5.1.2 United Arab Emirates
    • 5.5.5.1.3 Turkey
    • 5.5.5.1.4 Rest of Middle East
    • 5.5.5.2 Africa
    • 5.5.5.2.1 South Africa
    • 5.5.5.2.2 Nigeria
    • 5.5.5.2.3 Egypt
    • 5.5.5.2.4 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves and Funding Activity
• 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 Microsoft Corp.
  • 6.4.2 SAP SE
  • 6.4.3 Oracle Corp.
  • 6.4.4 IBM Corp.
  • 6.4.5 Salesforce Inc. (Tableau)
  • 6.4.6 SAS Institute Inc.
  • 6.4.7 TIBCO Software Inc.
  • 6.4.8 Qlik Tech Intl.
  • 6.4.9 MicroStrategy Inc.
  • 6.4.10 Infor Inc.
  • 6.4.11 Google LLC (Looker)
  • 6.4.12 Amazon Web Services (QuickSight)
  • 6.4.13 Domo Inc.
  • 6.4.14 Sisense Ltd.
  • 6.4.15 ThoughtSpot Inc.
  • 6.4.16 Alteryx Inc.
  • 6.4.17 Zoho Corp. (Zoho Analytics)
  • 6.4.18 Board International
  • 6.4.19 GoodData Corp.
  • 6.4.20 Yellowfin BI
  • 6.4.21 Pyramid Analytics
  • 6.4.22 Logi Analytics (InsightSoftware)
  • 6.4.23 Teradata Corp.
  • 6.4.24 Informatica Inc.
  • 6.4.25 Palantir Technologies
  • 6.4.26 Snowflake Inc.
  • 6.4.27 Databricks Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-need Assessment