빅데이터 및 애널리틱스시장 : 구성요소, 분석 도구, 최종 용도, 배포 모델, 용도별 - 세계 예측(2025-2030년)

The Big Data & Analytics Market was valued at USD 100.14 billion in 2023, expected to reach USD 110.12 billion in 2024, and is projected to grow at a CAGR of 10.06%, to USD 195.95 billion by 2030.

Big Data & Analytics encompass the aggregation, processing, and analysis of vast and varied datasets to extract meaningful insights that can drive informed decision-making. This domain is critical across industries for its ability to provide actionable intelligence, enhance operational efficiency, and uncover market trends. The application scope extends to sectors including finance, healthcare, retail, and manufacturing, among others, where large datasets are leveraged for predictive analytics, consumer behavior analysis, and real-time decision-making. End-use entities include businesses looking to streamline operations and governments aiming to improve public services. Growth factors propelling this market include the exponential increase in data generation, advancements in artificial intelligence and machine learning, and the rising adoption of cloud computing. Moreover, strategic partnerships and technological innovations are fueling market expansion. However, limitations such as data privacy concerns, high implementation costs, and a shortage of skilled professionals pose significant challenges. Businesses must navigate evolving regulatory landscapes surrounding data protection, alongside interoperability issues with existing systems. Key opportunities lie in enhancing data security protocols, adopting blockchain for data integrity, and personalized analytics solutions. Leveraging edge computing and real-time analytics can significantly augment the analytical capabilities of companies and enhance user experience. Companies are also exploring innovations in automation of data processing and more efficient machine learning algorithms to gain competitive advantage. Research into augmented analytics, which combines AI with big data technologies, is another promising area. The market is highly dynamic, characterized by rapid technological advancements and evolving consumer expectations. Organizations investing in robust data architecture and partnering with tech startups stand to gain a competitive edge. For sustained growth, building a skilled workforce and fostering a culture of data literacy across the organization is essential, enabling agile responses to emerging trends and technological breakthroughs.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Big Data & Analytics Market

The Big Data & Analytics Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Surge in adoption of big data analytics software by multiple organizations
  • Increase in demand for cloud-based big data analytics software among SMEs
• Market Restraints
  • Lack of skilled workforce and complexity in insights extraction
• Market Opportunities
  • Integration of AI, IoT, and blockchain with big data
  • Expanding adoption of big data & analytics in e-commerce and retail
• Market Challenges
  • Issues related to data privacy and security

Porter's Five Forces: A Strategic Tool for Navigating the Big Data & Analytics Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Big Data & Analytics Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Big Data & Analytics Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Big Data & Analytics Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Big Data & Analytics Market

A detailed market share analysis in the Big Data & Analytics Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Big Data & Analytics Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Big Data & Analytics Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Big Data & Analytics Market

A strategic analysis of the Big Data & Analytics Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Big Data & Analytics Market, highlighting leading vendors and their innovative profiles. These include 1010data, Inc. by Symphony Innovation, LLC, Adobe Inc., Alteryx, Amazon Web Services, Inc., Cisco Systems, Inc., Cloudera, Inc., Dell Technologies Inc., Fair Isaac Corporation, Google LLC by Alphabet Inc., Hewlett Packard Enterprise Company, Hitachi, Ltd., International Business Machines Corporation, Micro Focus International PLC by OpenText Corporation, Microsoft Corporation, MicroStrategy Incorporated, Oracle Corporation, Palantir Technologies Inc., QlikTech International AB, Salesforce, Inc., SAP SE, SAS Institute Inc., Sisense Ltd., Teradata Corporation, TIBCO by Cloud Software Group, Inc., and VMware, Inc..

Market Segmentation & Coverage

This research report categorizes the Big Data & Analytics Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Component, market is studied across Hardware, Service, and Software.
• Based on Analytics Tool, market is studied across Dashboard & Data Visualization, Data Mining & Warehousing, Reporting, and Self-service Tools.
• Based on End Use, market is studied across BFSI, Education, Energy & Utilities, Government, Healthcare, IT & Telecom, Manufacturing, Retail & ECommerce, and Transportation.
• Based on Deployment Model, market is studied across Cloud and On-Premise.
• Based on Application, market is studied across Customer Analytics, Marketing Analytics, Pricing Analytics, Risk & Credit Analytics, Spatial Analytics, Supply Chain Analytics, Transportation Analytics, and Workforce Analytics.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Surge in adoption of big data analytics software by multiple organizations
    • 5.1.1.2. Increase in demand for cloud-based big data analytics software among SMEs
  • 5.1.2. Restraints
    • 5.1.2.1. Lack of skilled workforce and complexity in insights extraction
  • 5.1.3. Opportunities
    • 5.1.3.1. Integration of AI, IoT, and blockchain with big data
    • 5.1.3.2. Expanding adoption of big data & analytics in e-commerce and retail
  • 5.1.4. Challenges
    • 5.1.4.1. Issues related to data privacy and security
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Big Data & Analytics Market, by Component

• 6.1. Introduction
• 6.2. Hardware
• 6.3. Service
• 6.4. Software

7. Big Data & Analytics Market, by Analytics Tool

• 7.1. Introduction
• 7.2. Dashboard & Data Visualization
• 7.3. Data Mining & Warehousing
• 7.4. Reporting
• 7.5. Self-service Tools

8. Big Data & Analytics Market, by End Use

• 8.1. Introduction
• 8.2. BFSI
• 8.3. Education
• 8.4. Energy & Utilities
• 8.5. Government
• 8.6. Healthcare
• 8.7. IT & Telecom
• 8.8. Manufacturing
• 8.9. Retail & ECommerce
• 8.10. Transportation

9. Big Data & Analytics Market, by Deployment Model

• 9.1. Introduction
• 9.2. Cloud
• 9.3. On-Premise

10. Big Data & Analytics Market, by Application

• 10.1. Introduction
• 10.2. Customer Analytics
• 10.3. Marketing Analytics
• 10.4. Pricing Analytics
• 10.5. Risk & Credit Analytics
• 10.6. Spatial Analytics
• 10.7. Supply Chain Analytics
• 10.8. Transportation Analytics
• 10.9. Workforce Analytics

11. Americas Big Data & Analytics Market

• 11.1. Introduction
• 11.2. Argentina
• 11.3. Brazil
• 11.4. Canada
• 11.5. Mexico
• 11.6. United States

12. Asia-Pacific Big Data & Analytics Market

• 12.1. Introduction
• 12.2. Australia
• 12.3. China
• 12.4. India
• 12.5. Indonesia
• 12.6. Japan
• 12.7. Malaysia
• 12.8. Philippines
• 12.9. Singapore
• 12.10. South Korea
• 12.11. Taiwan
• 12.12. Thailand
• 12.13. Vietnam

13. Europe, Middle East & Africa Big Data & Analytics Market

• 13.1. Introduction
• 13.2. Denmark
• 13.3. Egypt
• 13.4. Finland
• 13.5. France
• 13.6. Germany
• 13.7. Israel
• 13.8. Italy
• 13.9. Netherlands
• 13.10. Nigeria
• 13.11. Norway
• 13.12. Poland
• 13.13. Qatar
• 13.14. Russia
• 13.15. Saudi Arabia
• 13.16. South Africa
• 13.17. Spain
• 13.18. Sweden
• 13.19. Switzerland
• 13.20. Turkey
• 13.21. United Arab Emirates
• 13.22. United Kingdom

14. Competitive Landscape

• 14.1. Market Share Analysis, 2023
• 14.2. FPNV Positioning Matrix, 2023
• 14.3. Competitive Scenario Analysis
• 14.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. 1010data, Inc. by Symphony Innovation, LLC
• 2. Adobe Inc.
• 3. Alteryx
• 4. Amazon Web Services, Inc.
• 5. Cisco Systems, Inc.
• 6. Cloudera, Inc.
• 7. Dell Technologies Inc.
• 8. Fair Isaac Corporation
• 9. Google LLC by Alphabet Inc.
• 10. Hewlett Packard Enterprise Company
• 11. Hitachi, Ltd.
• 12. International Business Machines Corporation
• 13. Micro Focus International PLC by OpenText Corporation
• 14. Microsoft Corporation
• 15. MicroStrategy Incorporated
• 16. Oracle Corporation
• 17. Palantir Technologies Inc.
• 18. QlikTech International AB
• 19. Salesforce, Inc.
• 20. SAP SE
• 21. SAS Institute Inc.
• 22. Sisense Ltd.
• 23. Teradata Corporation
• 24. TIBCO by Cloud Software Group, Inc.
• 25. VMware, Inc.