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市场调查报告书
商品编码
1636700
2030 年行为分析市场预测:按分析类型、组件、部署模式、组织规模、应用、最终用户和地区进行的全球分析Behaviour Analytics Market Forecasts to 2030 - Global Analysis By Analytics Type, Component, Deployment Mode, Organization Size, Application, End User and By Geography |
根据 Stratistics MRC 的数据,全球行为分析市场预计在 2024 年达到 58.2 亿美元,预计到 2030 年将达到 145.7 亿美元,预测期内的复合年增长率为 20.5%。
行为分析是指系统性地收集、处理和分析来自全球不同来源的行为资料,以了解模式、预测趋势和增强决策。它结合来自线上活动、社交媒体、物联网设备、交易和其他互动的资料来识别可操作的见解。人工智慧、机器学习和巨量资料分析等先进工具可以实现精确的解释,帮助组织改善业务、客製化服务并有效预测全球范围内的用户和市场行为。
根据《2020年内部威胁成本报告》,未来四年网路犯罪成本预计将年与前一年同期比较15%。
网路攻击增加
随着网路威胁变得越来越复杂,传统的安全措施往往无法侦测到复杂且不断演变的攻击。行为分析透过监控模式和即时检测异常帮助组织识别异常活动。这种主动方法可提前发现潜在的安全漏洞、内部威胁和诈欺活动。随着企业优先考虑网路安全和资料保护,行为分析解决方案的采用正在成长,使其成为保护敏感资讯和维护业务完整性的重要工具,从而加速了市场需求。
整合复杂性
行为分析的整合复杂性源自于需要将先进的分析工具与现有的IT基础设施、旧有系统和多种资料来源结合。组织在将行为分析与其当前平台(例如 CRM 和 ERP 系统)相结合时经常面临挑战。这些整合挑战导致部署延迟、营运成本增加和效率低下,最终阻碍市场成长。
扩大物联网生态系统
随着智慧家电、穿戴式装置和工业感测器等设备收集和传输行为资料,企业需要先进的分析工具来处理和得出可操作的见解。行为分析有助于识别模式、预测趋势和检测跨部门的异常。物联网资料的数量和种类不断增加,推动了多个产业采用和扩展行为分析,需要先进的解决方案来增强决策能力、提高业务效率并加强安全性。
资料隐私问题
行为分析中的资料隐私问题源于广泛收集个人和敏感资料,包括用户行为、交易细节和互动。这增加了资料外洩、滥用和未授权存取的风险,尤其是在 GDPR 等资料保护条例日益严格的背景下。此外,潜在的法律影响和消费者信任的丧失可能会限制组织完全采用这些技术进行分析的意愿,从而阻碍市场成长。
COVID-19 的影响
随着企业适应远距工作和数位转型,COVID-19 疫情加速了行为分析市场的成长。对线上平台、电子商务和数位服务的依赖性不断增加,导致行为资料的激增,需要高级分析来了解客户行为、检测诈欺并增强安全性。此外,疫情凸显了即时资料分析的重要性,并推动了对行为分析工具的需求,以监控和应对快速变化的市场动态。
预计在预测期内,大型企业部门将成长至最大的规模。
预计大型企业部门将在整个预测期内占据最大的市场占有率。企业中的行为分析可协助组织监控、分析和优化客户和员工行为,以增强决策能力、安全性和绩效。它被广泛用于检测内部威胁、防止诈欺、改善客户体验、个人化行销策略等。先进的人工智慧和巨量资料使大型企业能够识别趋势、异常和见解,从而提高业务效率。
预计预测期内风险管理部门将以最高的复合年增长率成长。
预计预测期内风险管理部门将以最高的复合年增长率成长。风险管理中的行为分析透过分析资料行为模式和异常帮助组织识别、评估和减轻潜在风险。这对于侦测诈欺、内部威胁和网路安全漏洞以及实现主动风险缓解至关重要。由人工智慧和机器学习提供支援的行为分析使企业能够监控即时活动、预测风险并确保对新出现的威胁做出快速反应。
由于数位化程度不断提高、网路安全威胁不断上升以及人工智慧和巨量资料等先进技术的日益普及,预计亚太地区将在预测期内占据最大的市场占有率。中国、印度和日本等国家凭藉其庞大的消费群和日益活跃的电子商务活动正在推动市场扩张。此外,物联网设备使用量的激增和对即时资料洞察的需求正在推动对行为分析解决方案的需求。
由于北美拥有先进的技术基础设施、人工智慧和巨量资料分析的广泛采用以及网路安全威胁的日益增加,预计在预测期内北美将实现最高的复合年增长率。美国和加拿大引领市场,其公司专注于改善客户体验、诈欺侦测和即时决策。远距工作、电子商务和物联网设备的兴起进一步推动了对行为分析解决方案的需求。
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.