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市场调查报告书
商品编码
1754210
2025 年至 2033 年流分析市场规模、份额、趋势及预测(按组件、部署模式、组织规模、应用、产业垂直及地区划分)Streaming Analytics Market Size, Share, Trends and Forecast by Component, Deployment Mode, Organization Size, Application, Industry Vertical, and Region, 2025-2033 |
2024年,全球流分析市场规模达180.1亿美元。展望未来, IMARC Group预测,到2033年,该市场规模将达到1,188.4亿美元,2025-2033年期间的复合年增长率为22.16%。目前,北美占据市场主导地位,2024年将占据超过40.0%的市场。医疗保健、零售和金融等行业对即时资料处理日益增长的需求推动着该市场的发展。物联网设备、5G网路和边缘运算的兴起使得资料分析速度更快,而云端运算的采用和人工智慧的进步则增强了可扩展性。此外,法规遵循和智慧城市计画强调即时洞察,从而提升了全球流分析市场的份额。
全球流分析市场是由医疗保健、零售和金融等行业日益采用即时资料处理所驱动的。物联网设备和连接技术的兴起产生了大量资料,需要即时分析才能获得可行的见解。一份产业报告显示,2023 年连网物联网 (IoT) 设备数量增加了 15%,达到 166 亿台。到 2024 年底,这一数字预计将成长到 188 亿台,成长率为 13%。儘管面临经济挑战和供应链限制,仍有 51% 的公司计划增加物联网预算(22% 的公司预测增幅超过 10%)。随着物联网技术的发展,即时流分析将会成长,因为它增强了数据驱动的决策流程。同时,企业正在优先考虑数据驱动的决策,以提高营运效率和客户体验。此外,云端运算的兴起以及人工智慧和机器学习的进步使得可扩展且高效的流分析解决方案成为可能。资料安全和合规性的监管要求进一步推动了流分析市场的成长。对预测分析的需求以及在动态环境中减轻风险的需求也起到了很大的作用。
美国作为关键区域市场脱颖而出,主要受各行各业快速数位转型的推动,这凸显了即时资料洞察对保持竞争力的重要性。 5G 网路和边缘运算的扩展增强了资料处理能力,从而实现了更快、更有效率的分析。截至 2024 年初,全球 5G 连接数已接近 20 亿,自 2023 年 10 月以来新增 1.85 亿个连接,其中北美连接数将达到 2.2 亿。到 2028 年,全球 5G 连线总数将增加至 77 亿,这得益于 5G 的广泛应用、物联网 (IoT) 的日益普及以及网路覆盖范围的不断扩大。随着 5G 技术不断变革,即时串流分析在优化网路效能和提供更佳数据驱动洞察方面发挥着重要作用。此外,企业越来越注重个人化的客户体验,这推动了对即时资料分析的需求。此外,电子商务和数位服务的兴起使得即时诈欺侦测和营运优化成为必要。政府推动智慧城市和基础设施发展的措施也促进了市场成长,因为它们严重依赖即时资料进行高效管理和决策。
各产业垂直领域的采用率不断提高
各行各业对串流分析市场的需求都在不断增长,包括零售、媒体和娱乐、製造、医疗保健和金融服务业 (BFSI)。企业正在利用即时资料分析来识别趋势、监控消费者行为并优化运营,从而获得竞争优势。推动这一趋势的一个重要因素是各行各业日益增长的数位转型。例如,美国医院协会 (American Hospital Association) 报告称,美国约有 6,093 家医院,其中许多医院正在采用串流分析技术进行即时病患监控和营运效率提升。随着企业逐渐认识到持续资料处理的价值,流分析的采用预计将加速,使组织能够更快地做出数据驱动的决策。
物联网和人工智慧整合的扩展
物联网和人工智慧技术的快速发展,正显着成为流分析市场的关键趋势之一。随着企业努力即时处理大量资料,将人工智慧驱动的分析技术与物联网设备整合变得至关重要。全球连网物联网设备数量成长了 13%,达到 188 亿台。这一成长使企业能够透过分析来自感测器、智慧型设备和连网系统的资料流来增强决策能力。此外,流分析正应用于基于 GPS 的应用中,这些应用将车辆的即时资料与用户位置资讯合併。随着人工智慧驱动的自动化技术不断提高资料分析效率,企业越来越多地投资这些技术,以获得更深入的洞察力并优化营运。
网路安全和诈欺侦测需求不断增长
网路威胁和金融诈欺日益猖獗,需要流分析作为即时威胁侦测和回应的重要工具,这为流分析市场创造了积极的前景。企业正在使用这项技术来自动化网路安全流程,快速识别异常并降低潜在风险。全球诈欺案件数量的增加进一步推动了对流分析解决方案的需求,特别是在 BFSI 领域,即时监控对于预防诈欺至关重要。根据印度储备银行 (RBI) 的资料,印度的银行诈欺行为在五年内增加了四倍多,到 2024 年达到 36,075 起,其中数位支付诈欺急剧增加,共计 29,082 起。然而,诈欺总数从 2020 年的 1.85 兆卢比(约 225.6 亿美元)下降到 14,000 千万卢比(约 17.0732 亿美元),大多数诈欺发生在贷款组合中。随着金融诈欺的氾滥,流分析对于线上交易中诈欺的即时检测和风险管理的价值日益凸显。透过持续分析交易资料,企业可以侦测到可疑活动并主动回应。随着企业持续重视资料安全,预计未来几年,用于诈欺侦测和网路安全的即时分析应用将显着成长。
The global streaming analytics market size was valued at USD 18.01 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 118.84 Billion by 2033, exhibiting a CAGR of 22.16% during 2025-2033. North America currently dominates the market, holding a significant market share of over 40.0% in 2024. The market is driven by the growing need for real-time data processing across industries such as healthcare, retail, and finance. The rise of IoT devices, 5G networks, and edge computing enables faster data analysis, while cloud adoption and AI advancements enhance scalability. Additionally, regulatory compliance and smart city initiatives emphasize real-time insights, enhancing streaming analytics market share globally.
The global streaming analytics market is driven by the increasing adoption of real-time data processing across industries such as healthcare, retail, and finance. The rise in IoT devices and connected technologies generates vast amounts of data, necessitating instant analysis for actionable insights. The number of connected Internet of Things (IoT) devices grew by 15% in 2023 to 16.6 billion. At the end of 2024, that number is expected to grow to 18.8 billion due to 13% growth, according to an industry report. Despite economic challenges and supply chain constraints, 51% of the companies plan to increase their IoT budget (22% predict more than 10% increase). Real-time streaming analytics will grow as the Internet of Things technology increases as it enhances data-driven decision-making processes. Along with this, businesses are prioritizing data-driven decision-making to enhance operational efficiency and customer experiences. Additionally, the rise of cloud computing and advancements in AI and machine learning enable scalable and efficient streaming analytics solutions. Regulatory requirements for data security and compliance further propel the streaming analytics market growth. The demand for predictive analytics and the need to mitigate risks in dynamic environments also contribute significantly.
The United States stands out as a key regional market, primarily driven by the rapid digital transformation across industries, emphasizing the need for real-time data insights to stay competitive. The expansion of 5G networks and edge computing enhances data processing capabilities, enabling faster and more efficient analytics. The 5G global footprint through early 2024 was nearly 2 billion connections, with 185 million new connections since October 2023, with connections in North America reaching 220 million. The total number of 5G connections will increase to 7.7 billion globally by 2028, driven by widespread adoption, the rising popularity of the Internet of Things (IoT), and increasing network coverage. Real-time streaming analytics plays an important role as 5G technology changes to optimize network performance and provide better data-driven insights. In addition, enterprises are increasingly focusing on personalized customer experiences, driving demand for real-time data analysis. Additionally, the rise of e-commerce and digital services necessitates immediate fraud detection and operational optimization. Government initiatives promoting smart cities and infrastructure development also contribute to market growth, as they rely heavily on real-time data for efficient management and decision-making.
Growing Adoption Across Industry Verticals
The streaming analytics market demand is rising across various industries, including retail, media and entertainment, manufacturing, healthcare, and BFSI. Businesses are leveraging real-time data analysis to gain a competitive edge by identifying trends, monitoring consumer behavior, and optimizing operations. A significant factor propelling this trend is the increasing digital transformation across industries. For instance, the American Hospital Association reports that the United States has approximately 6,093 hospitals, many of which are incorporating streaming analytics for real-time patient monitoring and operational efficiency. As enterprises recognize the value of continuous data processing, the adoption of streaming analytics is expected to accelerate, enabling organizations to make faster, data-driven decisions.
Expansion of IoT and AI Integration
The rapid expansion of IoT and AI technologies is significantly acting as one of the key streaming analytics market trends. As businesses strive to process vast amounts of data in real time, integrating AI-powered analytics with IoT devices has become essential. The number of connected IoT devices has risen by 13%, reaching 18.8 billion globally. This surge enables companies to enhance decision-making by analyzing data streams from sensors, smart devices, and connected systems. Additionally, streaming analytics is being utilized in GPS-based applications, where real-time data from vehicles is merged with user location information. With AI-driven automation improving the efficiency of data analysis, businesses are increasingly investing in these technologies to gain deeper insights and optimize operations.
Rising Demand for Cybersecurity and Fraud Detection
The growing prevalence of cyber threats and financial fraud requiring streaming analytics as an essential tool for real-time threat detection and response is creating a positive streaming analytics market outlook. Businesses are using this technology to automate cybersecurity processes, quickly identifying anomalies and mitigating potential risks. The increasing number of fraud cases worldwide has further fueled the demand for streaming analytics solutions, particularly in the BFSI sector, where real-time monitoring is crucial for fraud prevention. Banking fraud in India rose more than fourfold over five years to 36,075 in 2024, with a sharp rise in digital payment frauds, which comprised a total of 29,082, according to data from the Reserve Bank of India (RBI). However, the overall number of frauds fell to ₹14,000 Crore (approximately USD 1,707.32 Million) as compared to ₹1.85 Trillion (approximately USD 22.56 Billion) in 2020, with most of the frauds within loan portfolios. With the proliferation of financial fraud, the value of streaming analytics for real-time detection and risk management of fraud in online transactions is increasing. By continuously analyzing transactional data, businesses can detect suspicious activities and respond proactively. As companies continue to prioritize data security, the adoption of real-time analytics for fraud detection and cybersecurity is expected to witness significant growth in the coming years.
Software stands as the largest component in 2024, holding around 65.0% of the market due to its critical role in enabling real-time data processing, analysis, and visualization. It provides the foundational tools and platforms necessary for organizations to harness streaming data effectively. The increasing adoption of advanced analytics software, powered by AI and machine learning, allows businesses to derive actionable insights and improve decision-making. Additionally, the flexibility and scalability of software solutions, particularly cloud-based platforms, cater to diverse industry needs. The growing demand for predictive analytics, fraud detection, and operational optimization further drives software adoption. As organizations prioritize digital transformation, software remains essential for integrating streaming analytics into existing systems, ensuring seamless data flow and real-time responsiveness.
Cloud leads the market with around 60.0% of market share in 2024 due to its scalability, flexibility, and cost-effectiveness. Organizations increasingly prefer cloud-based solutions to handle massive volumes of real-time data efficiently without significant infrastructure investments. Cloud platforms enable seamless integration with existing systems, ensuring faster deployment and easier access to advanced analytics tools. The rise of remote work and digital transformation has further accelerated cloud adoption, as it supports distributed data processing and collaboration. Additionally, cloud services offer enhanced security, regular updates, and the ability to scale resources on demand, making them ideal for dynamic business environments. Industries such as healthcare, retail, and finance leverage cloud-based streaming analytics to improve decision-making, operational efficiency, and customer experiences, driving its dominance in the market.
Large enterprises lead the market with around 65.8% of market share in 2024 due to their extensive data generation and complex operational needs. These organizations often operate across multiple locations and handle vast volumes of real-time data, necessitating advanced analytics solutions for efficient processing and decision-making. With significant financial resources, large enterprises invest heavily in cutting-edge technologies including AI, machine learning, and cloud-based platforms to gain actionable insights and maintain a competitive edge. Additionally, they prioritize scalability, security, and integration capabilities to streamline operations and enhance customer experiences. Industries such as banking, healthcare, and retail leverage streaming analytics to optimize processes, detect fraud, and improve forecasting, driving adoption among large enterprises. Their ability to implement and sustain sophisticated analytics infrastructure solidifies their dominance in this segment.
Fraud detection is a critical application in the streaming analytics market, driven by the need to identify and prevent fraudulent activities in real time. Industries such as banking, insurance, and e-commerce rely on streaming analytics to monitor transactions, detect anomalies, and mitigate risks. By leveraging advanced algorithms and machine learning, organizations can enhance security, reduce financial losses, and maintain customer trust, making fraud detection a key growth segment.
Predictive asset management utilizes streaming analytics to monitor equipment and infrastructure in real time, enabling proactive maintenance and reducing downtime. Industries such as manufacturing, energy, and transportation benefit from predictive insights that optimize asset performance and extend lifespan. By analyzing data from IoT sensors and other sources, businesses can improve operational efficiency, cut costs, and ensure reliability, driving demand for this application.
Risk management applications of streaming analytics help organizations identify, assess, and mitigate risks in real time. Sectors including finance, healthcare, and supply chain use these solutions to monitor market trends, operational vulnerabilities, and compliance issues. By providing actionable insights, streaming analytics enables businesses to make informed decisions, enhance resilience, and minimize potential disruptions, solidifying its importance in the market.
IT and telecom sector leads the market with around 23.6% of market share in 2024 due to its reliance on real-time data processing for network optimization, customer experience enhancement, and operational efficiency. With the rapid expansion of 5G networks, IoT devices, and cloud services, telecom companies generate massive volumes of data that require instant analysis. Streaming analytics enables them to monitor network performance, detect anomalies, and predict potential outages, ensuring seamless connectivity. Additionally, it supports personalized customer services, fraud detection, and dynamic pricing strategies. The sector's continuous technological advancements and the need for scalable, secure, and efficient data solutions drive the adoption of streaming analytics, making IT and telecom a dominant segment in the market.
In 2024, North America accounted for the largest market share of over 40.0%, driven by advanced technological infrastructure, high adoption of cloud-based solutions, and the presence of major industry players. The region's early embrace of digital transformation, IoT, and 5G technologies has created a strong demand for real-time data processing and analytics. Industries such as IT, telecom, healthcare, and finance leverage streaming analytics to enhance operational efficiency, customer experiences, and decision-making. Additionally, stringent regulatory requirements for data security and compliance further propel market growth. The U.S., in particular, leads in innovation and investment in AI, machine learning, and big data technologies, solidifying North America's dominance in the global streaming analytics market. The region's focus on smart cities and connected devices also contributes significantly to its market leadership.
United States Streaming Analytics Market Analysis
The US accounted for around 88.30% of the total North America streaming analytics market in 2024. The growing streaming analytics adoption is largely driven by the expanding retail and e-commerce sector, where businesses increasingly rely on real-time data processing to optimize supply chains, enhance customer experiences, and improve fraud detection. According to reports, e-commerce sales in the United States have been steadily increasing for over a decade, hitting a record high of USD 1.12 Trillion in 2023. That is a 330% increase from USD 260.4 Billion in 2013. As digital transactions rise, companies are integrating streaming analytics into their operations to track consumer behavior, personalize marketing strategies, and automate inventory management. The proliferation of omnichannel shopping experiences further fuels demand for real-time insights, allowing businesses to seamlessly merge online and offline sales channels. Additionally, with an increase in digital payment solutions, retailers leverage streaming analytics to monitor transactions, detect anomalies, and enhance security. Advanced recommendation engines powered by streaming analytics are transforming customer engagement, increasing conversion rates, and reducing cart abandonment. Retailers are also utilizing real-time data for dynamic pricing strategies, improving sales forecasting, and enhancing customer service through AI-driven chatbots.
Asia Pacific Streaming Analytics Market Analysis
The growing small and medium enterprises (SMEs) sector is a key driver for streaming analytics adoption, as businesses seek to harness real-time data for operational efficiency and competitive advantage. According to India Brand Equity Foundation, the number of MSMEs in the country is projected to grow from 6.3 crore to around 7.5 crore at a CAGR of 2.5%. SMEs are increasingly leveraging streaming analytics to optimize supply chains, monitor inventory, and enhance customer interactions through personalized recommendations. The expansion of digital payment solutions and mobile commerce necessitates real-time fraud detection and transaction monitoring, further accelerating demand. As SMEs integrate cloud computing and AI into their operations, streaming analytics becomes vital for predictive maintenance, demand forecasting, and workflow automation. Many SMEs are investing in real-time data-driven decision-making to improve resource allocation, minimize downtime, and enhance customer engagement. The rise of smart logistics and digital marketplaces also fuels the need for real-time insights to track shipments, manage vendors, and streamline order fulfilment. With increasing digital transformation, SMEs continue to invest in scalable and cost-effective streaming analytics solutions to enhance operational agility, enhance profitability, and strengthen their market position.
Europe Streaming Analytics Market Analysis
The growing streaming analytics adoption is being fuelled by the increasing demand for packaging solutions driven by the expansion of banking, financial services, and insurance (BFSI) facilities. According to reports, there were 784 foreign bank branches in the EU in 2021, of which 619 were from other EU Member States and 165 from third countries. With rising digital transactions and financial activities, BFSI institutions are relying on advanced analytics to monitor real-time transactions, detect fraudulent activities, and enhance risk management. As the financial sector expands, the need for secure, traceable, and intelligent packaging solutions for financial products grows, leading to the integration of streaming analytics. Packaging facilities are utilizing real-time data to improve production efficiency, monitor supply chains, and enhance quality control. The adoption of smart packaging with embedded sensors is further driving demand for real-time analytics, ensuring product integrity and compliance with changing industry regulations. The integration of AI-driven analytics in packaging operations enables predictive maintenance, reducing downtime and improving cost efficiency. As BFSI facilities continue to invest in digital transformation, packaging companies leverage streaming analytics to optimize production processes, track logistics, and enhance customer experience.
Latin America Streaming Analytics Market Analysis
The growing streaming analytics adoption is driven by the increasing expansion of healthcare facilities, where real-time data processing is crucial for patient care, operational efficiency, and predictive analytics. According to the Brazilian Federation of Hospitals (FBH) and the National Confederation of Health (CNSaude), of Brazil's 7,191 hospitals, 62% are private. Hospitals and clinics are leveraging streaming analytics for real-time patient monitoring, enabling faster diagnosis and treatment decisions. The growing demand for telemedicine and remote healthcare services further accelerates adoption, allowing seamless data integration from wearable devices and medical sensors. Streaming analytics supports efficient resource allocation, helping healthcare providers optimize staffing and equipment utilization. With expanding healthcare infrastructure, real-time analytics enhances patient outcomes by detecting anomalies in medical data, improving diagnostics, and streamlining administrative processes.
Middle East and Africa Streaming Analytics Market Analysis
The growing streaming analytics adoption is driven by the rising preference for healthy snacks and drinks, which is influenced by increasing investment in IT and telecom infrastructure. For instance, overall spending on information and communications technology (ICT) across the Middle East, Turkiye, and Africa (META) will top USD 238 Billion this year, an increase of 4.5% over 2023. Businesses in the food and beverage industry are leveraging real-time data to track consumer preferences, optimize supply chains, and improve product development. Streaming analytics enables companies to monitor purchasing trends, forecast demand, and enhance production efficiency. The integration of AI-powered analytics supports dynamic pricing strategies, personalized promotions, and inventory management. With greater IT and telecom investments, real-time data insights enhance market competitiveness, allowing businesses to meet evolving consumer demands.
The competitive landscape of the streaming analytics market is characterized by intense rivalry among key players, who are focusing on innovation, partnerships, and strategic expansions to strengthen their market position. Companies are investing heavily in research and development to enhance their analytics platforms with advanced AI and machine learning capabilities. Many are also expanding their cloud-based offerings to cater to the growing demand for scalable and flexible solutions. Strategic collaborations with technology providers and industry stakeholders are common, enabling integration with emerging technologies such as IoT and 5G. Additionally, players are targeting diverse industry verticals, such as healthcare, finance, and retail, to broaden their customer base. Competitive pricing, robust customer support, and compliance with data security regulations further differentiate leading providers in this dynamic market.