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市場調查報告書
商品編碼
1636700
2030 年行為分析市場預測:按分析類型、組件、部署模式、組織規模、應用、最終用戶和地區進行的全球分析Behaviour Analytics Market Forecasts to 2030 - Global Analysis By Analytics Type, Component, Deployment Mode, Organization Size, Application, End User and By Geography |
根據 Stratistics MRC 的數據,全球行為分析市場預計在 2024 年達到 58.2 億美元,預計到 2030 年將達到 145.7 億美元,預測期內的複合年成長率為 20.5%。
行為分析是指系統性地收集、處理和分析來自全球不同來源的行為資料,以了解模式、預測趨勢和增強決策。它結合來自線上活動、社交媒體、物聯網設備、交易和其他互動的資料來識別可操作的見解。人工智慧、機器學習和巨量資料分析等先進工具可以實現精確的解釋,幫助組織改善業務、客製化服務並有效預測全球範圍內的用戶和市場行為。
根據《2020年內部威脅成本報告》,未來四年網路犯罪成本預計將年與前一年同期比較15%。
網路攻擊增加
隨著網路威脅變得越來越複雜,傳統的安全措施往往無法偵測到複雜且不斷演變的攻擊。行為分析透過監控模式和即時檢測異常幫助組織識別異常活動。這種主動方法可提前發現潛在的安全漏洞、內部威脅和詐欺活動。隨著企業優先考慮網路安全和資料保護,行為分析解決方案的採用正在成長,使其成為保護敏感資訊和維護業務完整性的重要工具,從而加速了市場需求。
整合複雜性
行為分析的整合複雜性源自於需要將先進的分析工具與現有的IT基礎設施、舊有系統和多種資料來源結合。組織在將行為分析與其當前平台(例如 CRM 和 ERP 系統)相結合時經常面臨挑戰。這些整合挑戰導致部署延遲、營運成本增加和效率低下,最終阻礙市場成長。
擴大物聯網生態系統
隨著智慧家電、穿戴式裝置和工業感測器等設備收集和傳輸行為資料,企業需要先進的分析工具來處理和得出可操作的見解。行為分析有助於識別模式、預測趨勢和檢測跨部門的異常。物聯網資料的數量和種類不斷增加,推動了多個產業採用和擴展行為分析,需要先進的解決方案來增強決策能力、提高業務效率並加強安全性。
資料隱私問題
行為分析中的資料隱私問題源於廣泛收集個人和敏感資料,包括用戶行為、交易細節和互動。這增加了資料外洩、濫用和未授權存取的風險,尤其是在 GDPR 等資料保護條例日益嚴格的背景下。此外,潛在的法律影響和消費者信任的喪失可能會限制組織完全採用這些技術進行分析的意願,從而阻礙市場成長。
COVID-19 的影響
隨著企業適應遠距工作和數位轉型,COVID-19 疫情加速了行為分析市場的成長。對線上平台、電子商務和數位服務的依賴性不斷增加,導致行為資料的激增,需要高級分析來了解客戶行為、檢測詐欺並增強安全性。此外,疫情凸顯了即時資料分析的重要性,並推動了對行為分析工具的需求,以監控和應對快速變化的市場動態。
預計在預測期內,大型企業部門將成長至最大的規模。
預計大型企業部門將在整個預測期內佔據最大的市場佔有率。企業中的行為分析可協助組織監控、分析和最佳化客戶和員工行為,以增強決策能力、安全性和績效。它被廣泛用於檢測內部威脅、防止詐欺、改善客戶體驗、個人化行銷策略等。先進的人工智慧和巨量資料使大型企業能夠識別趨勢、異常和見解,從而提高業務效率。
預計預測期內風險管理部門將以最高的複合年成長率成長。
預計預測期內風險管理部門將以最高的複合年成長率成長。風險管理中的行為分析透過分析資料行為模式和異常幫助組織識別、評估和減輕潛在風險。這對於偵測詐欺、內部威脅和網路安全漏洞以及實現主動風險緩解至關重要。由人工智慧和機器學習提供支援的行為分析使企業能夠監控即時活動、預測風險並確保對新出現的威脅做出快速反應。
由於數位化程度不斷提高、網路安全威脅不斷上升以及人工智慧和巨量資料等先進技術的日益普及,預計亞太地區將在預測期內佔據最大的市場佔有率。中國、印度和日本等國家憑藉其龐大的消費群和日益活躍的電子商務活動正在推動市場擴張。此外,物聯網設備使用量的激增和對即時資料洞察的需求正在推動對行為分析解決方案的需求。
由於北美擁有先進的技術基礎設施、人工智慧和巨量資料分析的廣泛採用以及網路安全威脅的日益增加,預計在預測期內北美將實現最高的複合年成長率。美國和加拿大引領市場,其公司專注於改善客戶體驗、詐欺偵測和即時決策。遠距工作、電子商務和物聯網設備的興起進一步推動了對行為分析解決方案的需求。
According to Stratistics MRC, the Global Behaviour Analytics Market is accounted for $5.82 billion in 2024 and is expected to reach $14.57 billion by 2030 growing at a CAGR of 20.5% during the forecast period. Behaviour Analytics refers to the systematic collection, processing, and analysis of behavioural data from diverse sources across the globe to understand patterns, predict trends, and enhance decision-making. It integrates data from online activities, social media, IoT devices, transactions, and other interactions to identify actionable insights. Advanced tools like artificial intelligence, machine learning, and big data analytics enable precise interpretation, helping organizations improve operations, tailor services, and anticipate user or market behaviour effectively on a global scale.
According to the Cost of Insider Threat Report 2020, cybercrime costs are expected to increase by 15% year-on-year in the next four years.
Rising incidents of cyber attacks
As cyber threats become more sophisticated, traditional security measures often fail to detect complex and evolving attacks. Behaviour analytics helps organizations identify abnormal activities by monitoring patterns and detecting anomalies in real time. This proactive approach enables early detection of potential security breaches, insider threats, and fraud. As businesses prioritize cybersecurity and data protection, the adoption of behaviour analytics solutions has grown, making them essential tools for safeguarding sensitive information and maintaining operational integrity, thereby accelerating market demand.
Integration complexities
Integration complexities in behaviour analytics arise due to the need to incorporate advanced analytics tools with existing IT infrastructures, legacy systems, and diverse data sources. Organizations often face challenges in aligning behaviour analytics with current platforms, such as CRM or ERP systems. These integration issues can lead to delays in deployment, increased operational costs, and inefficiencies, ultimately hampering the market growth.
Expanding IoT ecosystems
Devices such as smart appliances, wearables and industrial sensors, collect and transmit behavioural data, prompting organizations to require advanced analytics tools to process and derive actionable insights. Behaviour analytics helps identify patterns, predict trends, and detect anomalies across various sectors. The increased volume and diversity of IoT data necessitate sophisticated solutions to enhance decision-making, improve operational efficiency, and boost security, driving the adoption and expansion of behaviour analytics in multiple industries.
Data privacy concerns
Data privacy concerns in behaviour analytics arise due to the extensive collection of personal and sensitive data, such as user behaviour, transaction details, and interactions. This raises risks of data breaches, misuse, and unauthorized access, especially with stricter data protection regulations like GDPR. Additionally, potential legal repercussions and loss of consumer trust can hamper market growth by limiting the willingness of organizations to fully embrace these technologies for analytics purposes.
Covid-19 Impact
The covid-19 pandemic accelerated the growth of the behaviour analytics market as businesses adapted to remote work and digital transformation. Increased reliance on online platforms, e-commerce, and digital services created a surge in behavioural data, prompting the need for advanced analytics to understand customer behaviour, detect fraud, and enhance security. Additionally, the pandemic underscored the importance of real-time data analysis, driving demand for behaviour analytics tools to monitor and respond to rapidly changing market dynamics.
The large enterprises segment is expected to be the largest during the forecast period
The large enterprises segment is predicted to secure the largest market share throughout the forecast period. Behaviour analytics in large enterprises helps organizations monitor, analyze, and optimize customer and employee behaviour to enhance decision-making, security, and performance. It is widely used for detecting insider threats, fraud prevention, improving customer experience, and personalizing marketing strategies. By leveraging advanced AI and big data, large enterprises can identify trends, anomalies, and insights to drive operational efficiency.
The risk management segment is expected to have the highest CAGR during the forecast period
The risk management segment is anticipated to witness the highest CAGR during the forecast period. Behaviour analytics in risk management helps organizations identify, assess, and mitigate potential risks by analyzing behavioural patterns and anomalies in data. It is crucial for detecting fraud, insider threats, and cybersecurity breaches, enabling proactive risk mitigation. By leveraging AI and machine learning, behaviour analytics allows businesses to monitor real-time activities and predict risks, ensuring quick responses to emerging threats.
Asia Pacific is expected to register the largest market share during the forecast period due to increasing digitalization, rising cybersecurity threats, and growing adoption of advanced technologies like AI and big data. Countries like China, India, and Japan are driving market expansion with their large consumer bases and increasing e-commerce activities. Additionally, the surge in IoT device usage and the need for real-time data insights are boosting demand for behaviour analytics solutions.
North America is expected to witness the highest CAGR over the forecast period driven by the region's advanced technological infrastructure, high adoption of AI and big data analytics, and increasing cybersecurity threats. The United States and Canada lead the market, with businesses focusing on improving customer experience, fraud detection, and real-time decision-making. The rise of remote work, e-commerce, and IoT devices further fuels demand for behaviour analytics solutions.
Key players in the market
Some of the key players profiled in the Behaviour Analytics Market include IBM Corporation, Splunk Inc., Google LLC, Microsoft Corporation, Oracle Corporation, SAP SE, Adobe Systems Incorporated, Teradata Corporation, SAS Institute Inc., Mixpanel, Inc., Hewlett Packard Enterprise, Salesforce.com, Inc., RapidMiner Inc., Tableau Software LLC, New Relic Inc. and Awareness Technologies.
In August 2024, Hewlett Packard Enterprise has expanded its AI-powered networking portfolio by introducing behavioural analytics-based network detection and response (NDR) capabilities through its HPE Aruba Networking division. This division includes next-gen AI-powered Network Detection and Response and Campus-Based Zero Trust Network Access solutions.
In January 2023, Awareness Technologies introduced Veriato's workforce behaviour analytics software to the Indian market through a strategic partnership with Sectonics. This software is designed to provide comprehensive insights into employee behaviour, enabling organizations to monitor productivity, enhance workplace security, and ensure compliance with regulatory standards.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.