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市場調查報告書
商品編碼
1754210
2025 年至 2033 年流分析市場規模、佔有率、趨勢及預測(按組件、部署模式、組織規模、應用、產業垂直及地區分類)Streaming Analytics Market Size, Share, Trends and Forecast by Component, Deployment Mode, Organization Size, Application, Industry Vertical, and Region, 2025-2033 |
2024年,全球流分析市場規模達180.1億美元。展望未來, IMARC Group預測,到2033年,該市場規模將達到1,188.4億美元,2025-2033年期間的複合年成長率為22.16%。目前,北美佔據市場主導地位,2024年將佔據超過40.0%的市場。醫療保健、零售和金融等行業對即時資料處理日益成長的需求推動著該市場的發展。物聯網設備、5G網路和邊緣運算的興起使得資料分析速度更快,而雲端運算的採用和人工智慧的進步則增強了可擴展性。此外,法規遵循和智慧城市計畫強調即時洞察,從而提升了全球流分析市場的佔有率。
全球流分析市場是由醫療保健、零售和金融等行業日益採用即時資料處理所驅動的。物聯網設備和連接技術的興起產生了大量資料,需要即時分析才能獲得可行的見解。一份產業報告顯示,2023 年連網物聯網 (IoT) 設備數量增加了 15%,達到 166 億台。到 2024 年底,這一數字預計將成長到 188 億台,成長率為 13%。儘管面臨經濟挑戰和供應鏈限制,仍有 51% 的公司計劃增加物聯網預算(22% 的公司預測增幅超過 10%)。隨著物聯網技術的發展,即時流分析將會成長,因為它增強了數據驅動的決策流程。同時,企業正在優先考慮數據驅動的決策,以提高營運效率和客戶體驗。此外,雲端運算的興起以及人工智慧和機器學習的進步使得可擴展且高效的流分析解決方案成為可能。資料安全和合規性的監管要求進一步推動了流分析市場的成長。對預測分析的需求以及在動態環境中減輕風險的需求也起到了很大的作用。
美國作為關鍵區域市場脫穎而出,主要受各行各業快速數位轉型的推動,這凸顯了即時資料洞察對保持競爭力的重要性。 5G 網路和邊緣運算的擴展增強了資料處理能力,從而實現了更快、更有效率的分析。截至 2024 年初,全球 5G 連接數已接近 20 億,自 2023 年 10 月以來新增 1.85 億個連接,其中北美連接數將達到 2.2 億。到 2028 年,全球 5G 連線總數將增加至 77 億,這得益於 5G 的廣泛應用、物聯網 (IoT) 的日益普及以及網路覆蓋範圍的不斷擴大。隨著 5G 技術不斷變革,即時串流分析在最佳化網路效能和提供更佳數據驅動洞察方面發揮著重要作用。此外,企業越來越注重個人化的客戶體驗,這推動了對即時資料分析的需求。此外,電子商務和數位服務的興起使得即時詐欺偵測和營運最佳化成為必要。政府推動智慧城市和基礎設施發展的措施也促進了市場成長,因為它們嚴重依賴即時資料進行高效管理和決策。
各產業垂直領域的採用率不斷提高
各行各業對串流分析市場的需求都在不斷成長,包括零售、媒體和娛樂、製造、醫療保健和金融服務業 (BFSI)。企業正在利用即時資料分析來識別趨勢、監控消費者行為並最佳化營運,從而獲得競爭優勢。推動這一趨勢的一個重要因素是各行各業日益成長的數位轉型。例如,美國醫院協會 (American Hospital Association) 報告稱,美國約有 6,093 家醫院,其中許多醫院正在採用串流分析技術進行即時病患監控和營運效率提升。隨著企業逐漸認知到持續資料處理的價值,流分析的採用預計將加速,使組織能夠更快地做出數據驅動的決策。
物聯網和人工智慧整合的擴展
物聯網和人工智慧技術的快速發展,正顯著成為流分析市場的關鍵趨勢之一。隨著企業努力即時處理大量資料,將人工智慧驅動的分析技術與物聯網設備整合變得至關重要。全球連網物聯網設備數量成長了 13%,達到 188 億台。這一成長使企業能夠透過分析來自感測器、智慧型設備和連網系統的資料流來增強決策能力。此外,流分析正應用於基於 GPS 的應用中,這些應用將車輛的即時資料與用戶位置資訊合併。隨著人工智慧驅動的自動化技術不斷提高資料分析效率,企業擴大投資這些技術,以獲得更深入的洞察力並最佳化營運。
網路安全和詐欺偵測需求不斷成長
網路威脅和金融詐欺日益猖獗,需要流分析作為即時威脅偵測和回應的重要工具,這為流分析市場創造了積極的前景。企業正在使用這項技術來自動化網路安全流程,快速識別異常並降低潛在風險。全球詐欺案件數量的增加進一步推動了對流分析解決方案的需求,特別是在 BFSI 領域,即時監控對於預防詐欺至關重要。根據印度儲備銀行 (RBI) 的資料,印度的銀行詐欺行為在五年內增加了四倍多,到 2024 年達到 36,075 起,其中數位支付詐欺急劇增加,共計 29,082 起。然而,詐欺總數從 2020 年的 1.85 兆盧比(約 225.6 億美元)下降到 14,000 千萬盧比(約 17.0732 億美元),大多數詐欺發生在貸款組合中。隨著金融詐欺的氾濫,流分析對於線上交易中詐欺的即時檢測和風險管理的價值日益凸顯。透過持續分析交易資料,企業可以偵測到可疑活動並主動回應。隨著企業持續重視資料安全,預計未來幾年,用於詐欺偵測和網路安全的即時分析應用將顯著成長。
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.