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1841561

巨量資料安全市場－全球產業規模、佔有率、趨勢、機會和預測（按組件、安全類型、最終用戶產業、地區和競爭細分，2020-2030 年預測）

Big Data Security Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Security Type, By End-User Industry, By Region & Competition, 2020-2030F
出版日期: | 出版商: TechSci Research | 英文 188 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024 年全球巨量資料安全市場價值為 238.7 億美元，預計到 2030 年將達到 639.3 億美元，預測期內複合年成長率為 17.67%。

市場概況
預測期 2026-2030
2024年市場規模 238.7億美元
2030年市場規模 639.3億美元
2025-2030年複合年成長率 17.67%
成長最快的領域 網路安全
最大的市場 北美洲

巨量資料安全市場是指專注於偵測、管理和緩解數位系統（包括網站、行動應用程式和應用程式介面）的惡意機器人流量的產業。網路犯罪分子經常利用這些機器人進行憑證填充、內容抓取、拒絕服務攻擊、庫存囤積和廣告詐欺等活動，對業務營運和客戶信任構成嚴重風險。隨著各行各業數位轉型的加速，企業越來越依賴線上平台進行客戶互動和服務交付，這為惡意自動化流量創造了更廣泛的攻擊面。

這種動態推動了對高階機器人防護解決方案的需求不斷成長，這些解決方案利用人工智慧、機器學習、行為分析和風險評分來即時識別和阻止有害的機器人行為。機器人的日益複雜化，包括能夠模仿合法用戶行為的類人「高級持久機器人」的出現，使得傳統的安全措施已不堪重負，需要更具適應性和智慧的解決方案。此外，與資料隱私和網路安全合規性相關的監管壓力日益增大，例如歐洲的《一般資料保護規範》和各國的網路安全框架，迫使企業加強其線上防禦能力。

由於數位資產和敏感客戶資料的價值高，銀行和金融服務、零售和電子商務、媒體和娛樂以及旅遊和酒店等關鍵行業處於巨量資料安全應用的前沿。此外，基於雲端的部署模型以及與現有網路應用程式防火牆和內容交付網路的整合，使得各種規模的組織都能夠更輕鬆地存取和擴展巨量資料安全解決方案。

戰略合作夥伴關係、產品創新以及網路安全基礎設施投資的不斷增加也促進了市場的成長。隨著威脅行為者不斷改進其攻擊策略，在日益數位化的全球經濟中，對主動、智慧和即時防禦機制的迫切需求推動了巨量資料安全市場持續擴張。

關鍵市場促進因素

數據量和複雜度不斷增加

主要市場挑戰

保護多樣化和分散式資料環境的複雜性

主要市場趨勢

人工智慧與機器學習的整合，用於主動威脅檢測

目錄

第 1 章：產品概述

第2章：研究方法

第3章：執行摘要

第4章：顧客之聲

第5章：全球巨量資料安全市場展望

  • 市場規模和預測
    • 按價值
  • 市場佔有率和預測
    • 按組件（解決方案、服務）
    • 依安全性類型（Web 安全性、行動安全性、API 安全性）
    • 按最終用戶產業（銀行、金融服務和保險、零售和電子商務、醫​​療保健、媒體和娛樂、旅遊和酒店、資訊科技和電信、政府、其他）
    • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
  • 按公司分類（2024 年）
  • 市場地圖

第6章：北美巨量資料安全市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲巨量資料安全市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太大資料安全市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東和非洲巨量資料安全市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美大資料安全市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第 11 章：市場動態

  • 驅動程式
  • 挑戰

第 12 章：市場趨勢與發展

  • 合併與收購（如有）
  • 產品發布（如有）
  • 最新動態

第13章：公司簡介

  • IBM Corporation
  • Oracle Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc.
  • Alphabet Inc
  • McAfee, LLC
  • Hewlett Packard Enterprise Development LP
  • Cisco Systems, Inc.
  • Cloudera, Inc.
  • Imperva, Inc.

第 14 章：策略建議

第15章調查會社について,免責事項

簡介目錄
Product Code: 14564

The Global Big Data Security Market was valued at USD 23.87 billion in 2024 and is expected to reach USD 63.93 billion by 2030 with a CAGR of 17.67% during the forecast period.

Market Overview
Forecast Period2026-2030
Market Size 2024USD 23.87 Billion
Market Size 2030USD 63.93 Billion
CAGR 2025-203017.67%
Fastest Growing SegmentNetwork Security
Largest MarketNorth America

The Big Data Security Market refers to the industry focused on detecting, managing, and mitigating malicious bot traffic that targets digital systems, including websites, mobile applications, and application programming interfaces. These bots are often used by cybercriminals to conduct activities such as credential stuffing, content scraping, denial-of-service attacks, inventory hoarding, and ad fraud, posing severe risks to both business operations and customer trust. As digital transformation accelerates across sectors, organizations are increasingly relying on online platforms for customer engagement and service delivery, creating a broader attack surface for malicious automated traffic.

This dynamic is driving heightened demand for advanced bot protection solutions that use artificial intelligence, machine learning, behavioral analysis, and risk scoring to identify and block harmful bot behavior in real time. The rising sophistication of bots, including the emergence of human-like "advanced persistent bots" that can mimic legitimate user behavior, has made traditional security measures insufficient, necessitating more adaptive and intelligent solutions. In addition, growing regulatory pressure related to data privacy and cybersecurity compliance, such as the General Data Protection Regulation in Europe and various national cybersecurity frameworks, is compelling enterprises to strengthen their online defenses.

Key sectors such as banking and financial services, retail and e-commerce, media and entertainment, and travel and hospitality are at the forefront of Big Data Security adoption due to the high value of digital assets and sensitive customer data. Furthermore, cloud-based deployment models and integration with existing web application firewalls and content delivery networks are making Big Data Security solutions more accessible and scalable for organizations of all sizes.

Strategic partnerships, product innovation, and rising investments in cybersecurity infrastructure are also contributing to market growth. As threat actors continue to evolve their tactics, the Big Data Security Market is expected to witness sustained expansion, driven by the critical need for proactive, intelligent, and real-time defense mechanisms in an increasingly digitized global economy.

Key Market Drivers

Increasing Volume and Complexity of Data

The Big Data Security Market is experiencing significant growth due to the exponential increase in data volume and complexity across industries. Organizations are generating vast amounts of data from diverse sources, including IoT devices, social media, cloud platforms, and enterprise applications. This surge in data creation, coupled with the need to process and analyze unstructured and semi-structured data, heightens the risk of cyber threats such as data breaches and unauthorized access.

As businesses leverage big data for strategic decision-making, the demand for robust security solutions to protect sensitive information, ensure data integrity, and maintain operational continuity is paramount. Advanced security measures like AI-driven threat detection, encryption, and zero-trust architectures are being adopted to safeguard complex data environments.

The proliferation of digital transformation initiatives further amplifies the need for scalable security frameworks that can handle the velocity, variety, and volume of big data. This driver is fueled by the necessity to protect intellectual property, customer data, and proprietary insights, which are critical for maintaining competitive advantage and regulatory compliance in a data-driven economy.

In 2023, global data creation reached approximately 120 zettabytes, with projections estimating a rise to 180 zettabytes by 2025. Over 57% of this data is user-generated, increasing the complexity of securing diverse datasets. Internet traffic is expected to generate 150-200 zettabytes by the end of 2025, with daily data generation at 2.5 quintillion bytes, necessitating advanced security solutions to protect against vulnerabilities in real-time data processing environments.

Key Market Challenges

Complexity in Securing Diverse and Distributed Data Environments

One of the most critical challenges facing the Big Data Security Market is the inherent complexity involved in securing diverse and distributed data environments. Big data systems typically operate across a wide range of platforms, including on-premise servers, private clouds, and public cloud infrastructures. These environments may span multiple geographic locations, legal jurisdictions, and technology stacks. The sheer volume, velocity, and variety of data flowing through these systems increases the difficulty of implementing a unified and coherent security framework.

Organizations handling massive datasets often struggle with visibility across their data assets. In such scenarios, sensitive information may be inadvertently stored without adequate encryption or access controls. Moreover, the traditional perimeter-based security models are insufficient for protecting modern, decentralized big data infrastructures. Data is often transferred between different business units, third-party vendors, and cloud-based services, making it highly susceptible to interception and unauthorized access. The integration of legacy systems with new-age big data platforms further exacerbates the risk, as older systems may not support modern security protocols.

In addition, securing real-time data processing environments such as those powered by Hadoop, Apache Spark, or NoSQL databases poses unique security challenges. These frameworks were not originally designed with strong security in mind, leading to vulnerabilities that require specialized tools and configurations. Ensuring end-to-end data protection-from ingestion to storage, processing, and output-requires constant monitoring, layered security controls, and effective incident response mechanisms.

To address these issues, organizations need to adopt a holistic security approach that incorporates data classification, role-based access controls, encryption at rest and in transit, anomaly detection, and security analytics. However, developing and maintaining such a multi-layered security infrastructure involves high financial and operational costs. Furthermore, a lack of skilled professionals with expertise in both big data technologies and cybersecurity adds to the implementation burden. As enterprises continue to embrace data-driven strategies, failure to effectively address these complexities could lead to increased risk of data breaches, regulatory non-compliance, and loss of stakeholder trust.

Key Market Trends

Integration of Artificial Intelligence and Machine Learning for Proactive Threat Detection

One of the most transformative trends shaping the Big Data Security Market is the integration of artificial intelligence and machine learning technologies to enable proactive threat detection and response. As the volume and complexity of cyber threats continue to escalate, traditional rule-based security approaches are becoming increasingly inadequate. In response, organizations are leveraging artificial intelligence and machine learning algorithms to analyze massive datasets in real time, identify anomalies, and detect potential security breaches before they can cause significant damage.

Artificial intelligence-driven solutions can process historical and real-time data simultaneously to build behavioral models that differentiate between normal user activity and suspicious behavior. Machine learning models, trained on extensive cybersecurity datasets, can accurately identify patterns associated with malicious activities such as data exfiltration, insider threats, and brute-force attacks. This not only enhances the accuracy of threat detection but also reduces the number of false positives, thereby optimizing the efficiency of security operations centers.

Furthermore, the use of artificial intelligence in big data security enables automated incident response. Once a threat is detected, artificial intelligence systems can initiate predefined actions such as isolating compromised nodes, blocking unauthorized access, and notifying the appropriate personnel. This level of automation is particularly beneficial in large-scale data environments where manual intervention may not be fast enough to prevent data loss or service disruption.

In addition to threat detection, artificial intelligence and machine learning are being employed to enhance encryption techniques, predict vulnerabilities, and improve access control mechanisms. These technologies are also helping organizations comply with data protection regulations by enabling real-time monitoring and audit trails. As the sophistication of cyber threats continues to grow, the adoption of artificial intelligence and machine learning in the Big Data Security Market is expected to become a standard practice, driving innovation and reinforcing trust in digital ecosystems.

Key Market Players

  • IBM Corporation
  • Oracle Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc.
  • Alphabet Inc
  • McAfee, LLC
  • Hewlett Packard Enterprise Development LP
  • Cisco Systems, Inc.
  • Cloudera, Inc.
  • Imperva, Inc.

Report Scope:

In this report, the Global Big Data Security Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Big Data Security Market, By Component:

  • Software
  • Services

Big Data Security Market, By Security Type:

  • Data Security
  • Network Security
  • Endpoint Security
  • Application Security

Big Data Security Market, By End-User Industry:

  • Banking, Financial Services, and Insurance
  • Healthcare and Life Sciences
  • Retail and E-commerce
  • Government and Defense
  • Information Technology and Telecom
  • Media and Entertainment
  • Manufacturing
  • Others

Big Data Security Market, By Region:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • South Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Big Data Security Market.

Available Customizations:

Global Big Data Security Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, and Trends

4. Voice of Customer

5. Global Big Data Security Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component (Solutions, Services)
    • 5.2.2. By Security Type (Web Security, Mobile Security, API Security)
    • 5.2.3. By End-User Industry (Banking, Financial Services, and Insurance, Retail and E-commerce, Healthcare, Media and Entertainment, Travel and Hospitality, Information Technology and Telecom, Government, Others)
    • 5.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
  • 5.3. By Company (2024)
  • 5.4. Market Map

6. North America Big Data Security Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component
    • 6.2.2. By Security Type
    • 6.2.3. By End-User Industry
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Big Data Security Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Component
        • 6.3.1.2.2. By Security Type
        • 6.3.1.2.3. By End-User Industry
    • 6.3.2. Canada Big Data Security Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Component
        • 6.3.2.2.2. By Security Type
        • 6.3.2.2.3. By End-User Industry
    • 6.3.3. Mexico Big Data Security Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Component
        • 6.3.3.2.2. By Security Type
        • 6.3.3.2.3. By End-User Industry

7. Europe Big Data Security Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Security Type
    • 7.2.3. By End-User Industry
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Big Data Security Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Component
        • 7.3.1.2.2. By Security Type
        • 7.3.1.2.3. By End-User Industry
    • 7.3.2. France Big Data Security Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Component
        • 7.3.2.2.2. By Security Type
        • 7.3.2.2.3. By End-User Industry
    • 7.3.3. United Kingdom Big Data Security Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Component
        • 7.3.3.2.2. By Security Type
        • 7.3.3.2.3. By End-User Industry
    • 7.3.4. Italy Big Data Security Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Component
        • 7.3.4.2.2. By Security Type
        • 7.3.4.2.3. By End-User Industry
    • 7.3.5. Spain Big Data Security Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Component
        • 7.3.5.2.2. By Security Type
        • 7.3.5.2.3. By End-User Industry

8. Asia Pacific Big Data Security Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Security Type
    • 8.2.3. By End-User Industry
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Big Data Security Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Security Type
        • 8.3.1.2.3. By End-User Industry
    • 8.3.2. India Big Data Security Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Security Type
        • 8.3.2.2.3. By End-User Industry
    • 8.3.3. Japan Big Data Security Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Security Type
        • 8.3.3.2.3. By End-User Industry
    • 8.3.4. South Korea Big Data Security Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Component
        • 8.3.4.2.2. By Security Type
        • 8.3.4.2.3. By End-User Industry
    • 8.3.5. Australia Big Data Security Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Component
        • 8.3.5.2.2. By Security Type
        • 8.3.5.2.3. By End-User Industry

9. Middle East & Africa Big Data Security Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Security Type
    • 9.2.3. By End-User Industry
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Big Data Security Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Component
        • 9.3.1.2.2. By Security Type
        • 9.3.1.2.3. By End-User Industry
    • 9.3.2. UAE Big Data Security Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Component
        • 9.3.2.2.2. By Security Type
        • 9.3.2.2.3. By End-User Industry
    • 9.3.3. South Africa Big Data Security Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Component
        • 9.3.3.2.2. By Security Type
        • 9.3.3.2.3. By End-User Industry

10. South America Big Data Security Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Security Type
    • 10.2.3. By End-User Industry
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Big Data Security Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Security Type
        • 10.3.1.2.3. By End-User Industry
    • 10.3.2. Colombia Big Data Security Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Security Type
        • 10.3.2.2.3. By End-User Industry
    • 10.3.3. Argentina Big Data Security Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Component
        • 10.3.3.2.2. By Security Type
        • 10.3.3.2.3. By End-User Industry

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends and Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Company Profiles

  • 13.1. IBM Corporation
    • 13.1.1. Business Overview
    • 13.1.2. Key Revenue and Financials
    • 13.1.3. Recent Developments
    • 13.1.4. Key Personnel
    • 13.1.5. Key Product/Services Offered
  • 13.2. Oracle Corporation
  • 13.3. Microsoft Corporation
  • 13.4. Amazon Web Services, Inc.
  • 13.5. Alphabet Inc
  • 13.6. McAfee, LLC
  • 13.7. Hewlett Packard Enterprise Development LP
  • 13.8. Cisco Systems, Inc.
  • 13.9. Cloudera, Inc.
  • 13.10. Imperva, Inc.

14. Strategic Recommendations

15. About Us & Disclaimer