![]() |
市場調査レポート
商品コード
1754210
ストリーミングアナリティクスの市場規模、シェア、動向、予測:コンポーネント別、展開形態別、組織規模別、用途別、産業分野別、地域別、2025~2033年Streaming Analytics Market Size, Share, Trends and Forecast by Component, Deployment Mode, Organization Size, Application, Industry Vertical, and Region, 2025-2033 |
||||||
カスタマイズ可能
|
ストリーミングアナリティクスの市場規模、シェア、動向、予測:コンポーネント別、展開形態別、組織規模別、用途別、産業分野別、地域別、2025~2033年 |
出版日: 2025年06月02日
発行: IMARC
ページ情報: 英文 143 Pages
納期: 2~3営業日
|
ストリーミングアナリティクスの世界市場規模は2024年に180億1,000万米ドルとなりました。今後、IMARC Groupは、同市場が2033年までに1,188億4,000万米ドルに達し、2025~2033年にかけて22.16%のCAGRを示すと予測しています。現在、北米が市場を独占しており、2024年には40.0%を超える大きな市場シェアを占めています。市場を牽引しているのは、ヘルスケア、小売、金融などの産業でリアルタイムデータ処理のニーズが高まっていることです。IoTデバイス、5Gネットワーク、エッジコンピューティングの台頭により、より高速なデータ分析が可能になる一方、クラウドの採用とAIの進化により拡大性が強化されます。また、規制遵守やスマートシティへの取り組みにより、リアルタイム洞察が重視され、ストリーミングアナリティクスの世界市場シェアが拡大しています。
世界のストリーミングアナリティクス市場を牽引しているのは、ヘルスケア、小売、金融などの産業でリアルタイムデータ処理の採用が増加していることです。IoTデバイスやコネクテッド技術の台頭により、膨大な量のデータが生成され、実用的な洞察のための即時分析が必要となっています。接続されたモノのインターネット(IoT)デバイスの数は、2023年に15%増加して166億に達しました。産業レポートによると、2024年末には13%の成長により、その数は188億に増加すると予想されています。経済課題やサプライチェーンの制約にもかかわらず、51%の企業がIoT予算の増加を計画している(22%が10%以上の増加を予測)。リアルタイムストリーミングアナリティクスは、モノのインターネット技術がデータ主導の意思決定プロセスを強化するにつれて増加します。これに伴い、企業は業務効率や顧客体験を向上させるため、データ主導の意思決定を優先するようになっています。さらに、クラウドコンピューティングの台頭とAIと機械学習の進歩により、スケーラブルで効率的なストリーミングアナリティクスソリューションが実現します。データセキュリティとコンプライアンスに対する規制要件は、ストリーミングアナリティクス市場の成長をさらに促進します。また、予測分析への需要とダイナミック環境におけるリスク軽減の必要性も大きく貢献しています。
米国は主要な地域市場として際立っており、主に産業全体の急速なデジタル変革によって、競合を維持するためのリアルタイムのデータ考察の必要性が強調されています。5Gネットワークとエッジコンピューティングの拡大はデータ処理能力を強化し、より高速で効率的な分析を可能にします。2024年初頭までの5G世界のフットプリントは約20億接続で、2023年10月以降の新規接続数は1億8,500万、北米の接続数は2億2,000万に達しました。5Gの接続総数は、普及、モノのインターネット(IoT)の人気の高まり、ネットワークカバレッジの拡大により、2028年までに世界全体で77億に増加します。リアルタイムストリーミングアナリティクスは、5G技術がネットワークパフォーマンスを最適化し、より優れたデータ主導型洞察を提供するように変化する中で、重要な役割を果たします。さらに、企業はパーソナライズされた顧客体験を重視するようになっており、リアルタイムのデータ分析に対する需要が高まっています。さらに、eコマースやデジタルサービスの台頭により、不正行為の即時検知や業務の最適化が必要となっています。スマートシティやインフラ整備を推進する政府の取り組みも、効率的な管理と意思決定のためにリアルタイムデータに大きく依存しているため、市場の成長に寄与しています。
産業別採用の拡大
ストリーミングアナリティクス市場の需要は、小売業、メディアエンターテインメント、製造業、ヘルスケア、BFSIなど、さまざまな産業で高まっています。企業はリアルタイムのデータ分析を活用し、動向の把握、消費者行動のモニタリング、オペレーションの最適化によって競合を高めています。この動向を後押しする重要な要因は、産業全体でデジタルトランスフォーメーションが進んでいることです。例えば、米国病院協会によると、米国には約6,093の病院があり、その多くがリアルタイムの患者モニタリングと業務効率化のためにストリーミングアナリティクスを取り入れています。企業が継続的なデータ処理の価値を認識するにつれて、ストリーミングアナリティクスの採用は加速し、企業はデータ駆動型の意思決定を迅速に行えるようになると予想されます。
IoTとAIの統合の拡大
IoTとAI技術の急速な拡大は、ストリーミングアナリティクス市場の主要動向の一つとして大きく作用しています。企業が膨大な量のデータをリアルタイムで処理しようと努める中、AIを活用した分析とIoTデバイスの統合が不可欠となっています。接続されたIoTデバイスの数は13%増加し、世界全体で188億台に達しています。この急増により、企業はセンサ、スマートデバイス、コネクテッドシステムからのデータストリームを分析することで、意思決定を強化することができます。さらに、ストリーミングアナリティクスはGPSベースのアプリケーションで活用されており、車両からのリアルタイムデータとユーザーの位置情報が統合されています。AIによる自動化によってデータ分析の効率が向上しているため、企業はより深い洞察を得て業務を最適化するために、こうした技術への投資を増やしています。
サイバーセキュリティと不正検知に対する需要の高まり
リアルタイムの脅威検知と対応に不可欠なツールとしてストリーミングアナリティクスを必要とするサイバー脅威と金融詐欺の蔓延が拡大しており、ストリーミングアナリティクス市場の展望は明るいです。企業はこの技術を利用してサイバーセキュリティプロセスを自動化し、異常を迅速に特定して潜在的なリスクを軽減しています。世界の詐欺事件の増加により、ストリーミングアナリティクスソリューションの需要はさらに高まっており、特にBFSIセグメントではリアルタイムモニタリングが詐欺防止に欠かせないです。インド準備銀行(RBI)のデータによると、インドにおける銀行詐欺は5年間で4倍以上増加し、2024年には3万6,075件に上り、そのうちデジタル決済詐欺が急増し、合計2万9,082件を占めました。しかし、全体の不正件数は、2020年の1兆8,500億インドルピー(約225億6,000万米ドル)に対し、1,400億インドルピー(約17億732万米ドル)に減少し、そのほとんどがローンポートフォリオ内での不正でした。金融詐欺の急増に伴い、オンライン取引における詐欺をリアルタイムで検知し、リスク管理するためのストリーミングアナリティクスの価値が高まっています。取引データを継続的に分析することで、企業は疑わしい行為を検知し、プロアクティブに対応することができます。企業がデータセキュリティを優先し続ける中、不正検知とサイバーセキュリティのためのリアルタイム分析の採用は、今後数年間で大きな成長が見込まれます。
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.