查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1308697

到2030年的流分析市場預測-按組件、部署類型、組織規模、應用程序、最終用戶和區域進行的全球分析

Streaming Analytics Market Forecasts to 2030 - Global Analysis By Component (Software and Services), Deployment Type (On-premise and Cloud), Organization Size, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 175+ Pages | 商品交期: 2-3個工作天內

價格

根據Stratistics MRC 的數據，2023 年全球流媒體分析市場規模將達到187.7 億美元，預測期內復合年增長率為24.8%，到2030 年將達到885.3 億美元，預計將達到美元。

流式分析通過提供對決策工具箱的實時洞察來補充傳統分析。 也稱為事件流處理，它自動處理和分析大規模實時資訊或稱為事件流的動態數據。 事件流包含由於某些操作而發生的事件，例如設備故障、金融交易和其他操作。

根據美國零售聯合會 (NRF) 2018 年的一項研究，有組織零售犯罪 (ORC) 造成的財務影響使零售商每 10 億美元銷售額損失 777,877 美元。

市場動態：

促進因素

向實時戰略轉變

通過數據可視化顯示見解以及對流數據提供實時預測都是流分析的兩個方面。 利用為客戶提供的預測模型來實現準確的實時決策。 整個迭代過程涉及對複雜數據集進行嚴格的實驗，並跟蹤關鍵績效指標 (KPI)、指標和與特定部門相關的其他關鍵數據點。 流分析用於運營改進，以改進決策並實現根據需要自動化、優化和指導決策的能力，以實現既定的企業目標。 認識到流分析價值的公司優先考慮成功吸引客戶和跟蹤消費者情緒的需求。

抑制因素

缺乏與遺留系統的集成

舊系統具有組織可以使用的有價值且重要的業務邏輯。 企業無法承擔更新其業務邏輯或丟棄遺留系統的費用，因為遺留系統是企業資產。 這些編碼的有價值的業務邏輯是多年編碼、開發、實際應用、增強、修改和調試的結果。 大多數遺留系統都是在沒有數據或流程模型的情況下創建的，但現在對於提供和支持基於大數據流分析的實時操作資訊至關重要。

機會

持續的合作夥伴關係和產品發布

為了獲得相對於競爭對手供應商的優勢並擴大商業應用範圍，流分析市場的供應商正在尋求提供新的數據集成和復雜的事件流分析功能。 因此，參與者正在使用各種策略，例如推出新產品以及與科技初創企業合作開發突破性解決方案，從而在流分析市場中創造日益增長的潛在優勢。 例如，Yellowbrick Data 和 Striim 於 2020 年 6 月合作開發數據流解決方案，以加速數據流應用程序在企業中的採用，並幫助他們獲得更快、更準確的見解。

威脅

數據安全問題和嚴格的數據安全法規

由於高度的數據安全和隱私問題，流分析市場面臨重大障礙。 隨著網絡攻擊和安全漏洞的日益頻繁，安全和隱私現在被認為是企業最重要的因素。 醫療保健、IT 和電信等主要行業會產生大量大數據，這些行業嚴重依賴流分析解決方案來促進業務增長和生產力。 大數據流在三個方面與現有技術不同：容量（數據量）、速度（數據生成和傳輸的速度）和多樣性（有組織和非結構化數據的類型）。

COVID-19 的影響：

由於封鎖、旅行禁令和企業停業，COVID-19 正在影響每個國家的經濟和工業。 各種工廠和工廠的關閉影響了全球供應鏈，對全球市場上產品的生產、交付和銷售產生了不利影響。 多家公司已經宣布推遲產品交付，並且未來可能出現產品銷售下滑。 此外，歐洲、亞太和北美國家實施了全球旅行禁令，影響了商業合作和夥伴關係。

預測期內營銷和銷售額將達到最大：

由於需求不斷增長，營銷和銷售仍然是最大的市場份額。 這是越來越多地使用流分析來改善客戶互動，使用消費者分析、活動管理、監控和人口統計分析等策略來改善當前的客戶參與政策。它被認為是為了 企業也越來越多地轉向流分析解決方案，以更好地了解他們的目標市場和偏好，以及消費者行為和其他資訊。

預計媒體和娛樂領域在預測期內的複合年增長率最高：

隨著消費者越來越喜歡在智能手機和平板電腦上使用 OTT 應用程序來訪問多媒體內容，預計媒體和娛樂行業在預測期內將呈現最高的複合年增長率。高速無線互聯網在全球範圍內的日益普及使企業能夠向受眾提供高質量的內容。 媒體和娛樂公司還使用強大的流媒體分析系統來構建改進的營銷計劃，以吸引和保留消費者。 此外，來自社交媒體的實時資訊可以通過全渠道銷售策略提供個性化的客戶體驗，從而為公司帶來競爭優勢。

份額最大的地區

預計在預測期內，北美區域市場將佔據全球流媒體分析市場的最高份額。 所有主要的流分析解決方案提供商（例如 Microsoft Corporation、Oracle Corporation 和 IBM Corporation）均位於北美。 這些公司專注於消費者和商業流分析產品的開發和商業化。 推動該區域市場擴張的其他重要因素包括人均收入的增加、精通技術的人口以及個人和商業目的對新興技術的持續接受。

複合年增長率最高的地區：

預計亞太地區在預測期內將呈現最高增長率。 該區域市場的主要增長動力是智能手機和平板電腦銷量的增長、消費物聯網設備的使用增加以及中國、印度和日本等國家可支配收入的增加。 隨著高速無線互聯網網絡的發展以及新興經濟體注重升級其老化的基礎設施，亞太地區的互聯網普及率正在不斷上升。 改進的互聯網連接使公司可以更輕鬆地部署尖端的物聯網傳感器和設備來進行過程監控。

主要進展：

2022 年 4 月，微軟的 Azure 流分析提供了參考數據的地理空間索引並加速處理，以支持更大的移動資產和車輛車隊。

2021年12月，Striim平台將與AWS合作，持續向RedShift交付數據，提供數據庫、數據倉庫、Salesforce、Amazon S3、日誌文件、消息系統、傳感器和Hadoop解決方案。提供非侵入式、實時的時間數據收集和移動

2021 年 11 月，Azure 流分析操作將能夠使用此新集成將數據直接饋送到 Azure 數據資源管理器中的表中。 將 Azure 數據資源管理器直接集成為 Azure 流分析的輸出，增強了由 Azure 提供支持的實時分析體系結構的功能。

2021 年 4 月，Oracle Stream Analytics 現在使用高級關聯模式、豐富和機器學習來處理和分析大量實時數據。 通過提供實時、可操作的業務資訊並根據流數據自動執行操作，幫助您的組織平穩運行。

報告內容

  • 區域和國家級細分市場的市場份額評估
  • 給新進入者的戰略建議
  • 2021 年、2022 年、2023 年、2026 年和 2030 年的綜合市場數據
  • 市場趨勢（市場促進因素/抑制因素/機會/威脅/挑戰/投資機會/建議）
  • 根據市場預測提出關鍵業務領域的戰略建議
  • 競爭格局繪製主要共同趨勢
  • 公司簡介，包括詳細的戰略、財務狀況和最新發展
  • 反映最新技術進步的供應鏈趨勢

免費定制服務：

訂閱此報告的客戶將獲得以下免費自定義選項之一：

  • 公司簡介
    • 對其他市場參與者（最多3家公司）進行全面分析
    • 主要公司的SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶興趣對主要國家/地區的市場估計/預測/複合年增長率（注：基於可行性檢查）
  • 競爭基準測試
    • 根據產品組合、地域分佈和戰略聯盟對主要參與者進行基準測試

內容

第 1 章執行摘要

第 2 章前言

  • 概述
  • 利益相關者
  • 調查範圍
  • 調查方法
    • 數據挖掘
    • 數據分析
    • 數據驗證
    • 研究方法
  • 調查來源

第 3 章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • 新冠肺炎 (COVID-19) 的影響

第 4 章波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間存在敵對關係

第 5 章全球流媒體分析市場：按組成部分

  • 軟件
  • 服務
    • 專業服務
    • 託管服務

第 6 章全球流分析市場：按部署類型

  • 本機
  • 雲端
    • 公有雲端
    • 私有雲端
    • 混合雲端

第 7 章全球流分析市場：按組織規模劃分

  • 大企業
  • 中小企業

第 8 章全球流媒體分析市場：按應用劃分

  • 欺詐檢測
  • 營銷銷售
  • 危機管理
  • 預測性資產管理
  • 網路管理和優化
  • 位置情報
  • 供應鏈管理
  • 其他用途

第 9 章全球流媒體分析市場：按最終用戶劃分

  • 銀行、金融服務和保險 (BFSI)
  • IT 與電信
  • 零售
  • 醫療保健
  • 政府
  • 媒體和娛樂
  • 教育
  • 其他最終用戶

第 10 章全球流媒體分析市場：按地區

  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 意大利
    • 法國
    • 西班牙
    • 歐洲其他地區
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳大利亞
    • 新西蘭
    • 韓國
    • 亞太地區其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙特阿拉伯
    • 阿拉伯聯合酋長國
    • 卡塔爾
    • 南非
    • 其他中東和非洲地區

第 11 章主要進展

  • 合同、夥伴關係、協作和合資企業
  • 收購與合併
  • 推出新產品
  • 業務擴展
  • 其他關鍵策略

第 12 章公司簡介

  • Apache Software Foundation
  • IBM Corporation
  • Impetus Technologies Inc.
  • Informatica
  • Microsoft
  • Oracle Corporation
  • SAP SE
  • SAS Institute Inc.
  • Software AG
  • SQLstream, Inc.
  • Striim, Inc.
  • TIBCO Software Inc.
Product Code: SMRC23397

According to Stratistics MRC, the Global Streaming Analytics Market is accounted for $18.77 billion in 2023 and is expected to reach $88.53 billion by 2030 growing at a CAGR of 24.8% during the forecast period. Streaming analytics complements traditional analytics by providing real-time insight to the decision-making toolbox. It is also known as event stream processing, which automatically processes & analyzes large scale real-time information and in-motion data called, event streams. The streams encompass events that occur as the result of an action or set of actions, such as an equipment failure, financial transaction, or some other actions.

According to the National Retail Federation (NRF), the financial impact of organized retail crime (ORC) costs retailers USD 777,877 per USD 1 billion in sales in 2018 study

Market Dynamics:

Driver:

Strategic shift toward real-time

Using data visualization to display insights and providing real-time predictions for streaming data are both aspects of streaming analytics. It makes use of the predictive model, which is made available to clients, to enable precise real-time decision-making. This entire iterative process entails meticulous experimentation with complex data sets and tracking of Key Performance Indicators (KPIs), metrics, and other important data points pertinent to a specific department. In order to improve decision-making and achieve the ability to automate, optimize, and guide decisions in accordance with demands to meet established corporate goals, streaming analytics is used to improve business operations. Businesses who recognize the value of streaming analytics give the need to successfully engage customers and track consumer sentiment top priority.

Restraint:

Lack of integration of legacy systems

Legacy systems have valuable and important business logic that the organization can use. Organizations cannot afford to update their business logic or throw away their legacy systems because they are assets to the corporation. These priceless pieces of business logic that have been encoded are the result of many years of coding, development, real-world application, enhancement, change, and debugging. The majority of legacy systems were created without using data or process models, and now they are essential for delivering and supporting big data streaming analytics-based real-time operational information.

Opportunity:

Ongoing partnerships and product launches

In order to gain an advantage over rival vendors and broaden the range of commercial applications, the suppliers in the market for streaming analytics are attempting to provide new data integration and sophisticated event-streaming analytics capabilities. As a result, players are using a variety of tactics, such as launching new products or teaming up with tech startups to create ground-breaking solutions, which is opening up lucrative potential for the streaming analytics market. For instance, Yellowbrick Data and Striim collaborated on a data streaming solution in June 2020 to speed up the adoption of data-streaming apps in businesses and assist them in gaining quicker and more accurate insights.

Threat:

Data security concerns and stringent data security regulations

The market for streaming analytics is facing significant obstacles due to high concerns about data security and privacy. Security and privacy are now considered to be the most crucial components of a company due to the rising frequency of cyber attacks and security lapses. Since key industries like healthcare, IT, and telecom produce enormous amounts of big data, these sectors heavily rely on streaming analytics solutions to increase their business growth and productivity. Big data streaming differs from existing technologies in three ways: volume (quantity of data), velocity (speed at which data is generated and transmitted), and variety (types of organized and unstructured data).

COVID-19 Impact:

The COVID-19 has been affecting economies and industries in various countries due to lockdowns, travel bans, and business shutdowns. The shutdown of various plants and factories has affected the global supply chains and negatively impacted the manufacturing, delivery schedules, and sales of products in the global market. A few companies have already announced possible delays in product deliveries and slumps in future sales of their products. In addition to this, the global travel bans imposed by countries in Europe, Asia-Pacific, and North America are affecting business collaborations and partnerships.

The marketing & sales segment is expected to be the largest during the forecast period:

Due to the rising demand, the marketing and sales segment maintained its largest market share. This can be due to the growing use of streaming analytics to give improved customer interaction using strategies like consumer profiling, campaign management, monitoring, and demographic analysis to improve on current customer engagement policies. Companies are also more frequently utilizing streaming analytics solutions to better understand the target market, their preferences, learn about consumer behavior and additional.

The media & entertainment segment is expected to have the highest CAGR during the forecast period:

The media and entertainment industry is anticipated to have the highest CAGR over the forecast period due to consumers' growing preference for using OTT applications on smartphones and tablets to access multimedia content. Companies are now able to provide viewers with high-quality material because to the expanding adoption of high-speed wireless internet around the world. Powerful streaming analytics systems are also being used by media and entertainment organizations to build improved marketing programs for consumer acquisition and retention. Additionally, by providing a personalized customer experience through omnichannel sales strategies, businesses are able to acquire a competitive advantage thanks to the real-time information gleaned from social media.

Region with largest share:

The North America region market is estimated to witness the highest share of the global Streaming Analytics market during the forecast period. Leading streaming analytics solution providers, including Microsoft Corporation, Oracle Corporation, and IBM Corporation, are all based in North America. These businesses are concentrating on the creation and commercialization of streaming analytics products for both consumer and commercial use. Other significant drivers propelling the expansion of the regional market include rising per capita income, a tech-savvy populace, and the ongoing acceptance of emerging technologies for both personal and professional purposes.

Region with highest CAGR:

The Asia Pacific region is expected to have the highest growth rate over the forecast period. The primary growth drivers for the regional market are the increasing sales of smartphones and tablets, the expanding use of consumer IoT devices, and the rising disposable incomes in countries like China, India, and Japan. Internet penetration has increased in the Asia Pacific region as a result of the ongoing development of high-speed wireless internet networks and the focus of developing economies on upgrading aging infrastructure. Because of improved internet connectivity, businesses can now deploy cutting-edge IoT sensors and devices for process monitoring and control with ease.

Key players in the market

Some of the key players in Streaming Analytics market include Apache Software Foundation, IBM Corporation, Impetus Technologies Inc., Informatica, Microsoft, Oracle Corporation, SAP SE, SAS Institute Inc., Software AG, SQLstream, Inc., Striim, Inc. and TIBCO Software Inc.

Key Developments:

In April 2022, Microsoft's Azure Stream Analytics featured a geospatial index of reference data, providing faster processing to support a larger set of mobile assets and vehicle fleet

In December 2021, the Striim platform offers non-intrusive, real-time data collection and movement from databases, data warehouses, Salesforce, Amazon S3, log files, messaging systems, sensors, and Hadoop solutions by teaming with AWS to continuously deliver data to RedShift

In November 2021, Azure Stream Analytics operation can directly feed data into an Azure Data Explorer table using this new integration. The direct integration of Azure Data Explorer as an output for Azure Stream Analytics has increased the power of Azure-powered real-time analytics architecture

In April 2021, Oracle Stream Analytics now uses advanced correlation patterns, enrichment, and machine learning to process and analyze enormous amounts of real-time data. It provides real-time actionable business information from streaming data and automates actions to help organizations to operate smoothly

Components Covered:

  • Software
  • Services

Deployment Types Covered:

  • On-premise
  • Cloud

Organization Sizes Covered:

  • Large Enterprises
  • Small & Medium sized Enterprises

Applications Covered:

  • Fraud Detection
  • Marketing & Sales
  • Risk Management
  • Predictive Asset Management
  • Network Management & Optimization
  • Location Intelligence
  • Supply Chain Management
  • Other Applications

End Users Covered:

  • Banking, Financial Services and Insurance (BFSI)
  • IT & Telecom
  • Retail
  • Healthcare
  • Government
  • Media & Entertainment
  • Education
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Streaming Analytics Market, By Component

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Services
    • 5.3.1 Professional Services
    • 5.3.2 Managed Services

6 Global Streaming Analytics Market, By Deployment Type

  • 6.1 Introduction
  • 6.2 On-premise
  • 6.3 Cloud
    • 6.3.1 Public Cloud
    • 6.3.2 Private Cloud
    • 6.3.3 Hybrid Cloud

7 Global Streaming Analytics Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Large Enterprises
  • 7.3 Small & Medium sized Enterprises

8 Global Streaming Analytics Market, By Application

  • 8.1 Introduction
  • 8.2 Fraud Detection
  • 8.3 Marketing & Sales
  • 8.4 Risk Management
  • 8.5 Predictive Asset Management
  • 8.6 Network Management & Optimization
  • 8.7 Location Intelligence
  • 8.8 Supply Chain Management
  • 8.9 Other Applications

9 Global Streaming Analytics Market, By End User

  • 9.1 Introduction
  • 9.2 Banking, Financial Services and Insurance (BFSI)
  • 9.3 IT & Telecom
  • 9.4 Retail
  • 9.5 Healthcare
  • 9.6 Government
  • 9.7 Media & Entertainment
  • 9.8 Education
  • 9.9 Other End Users

10 Global Streaming Analytics Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Apache Software Foundation
  • 12.2 IBM Corporation
  • 12.3 Impetus Technologies Inc.
  • 12.4 Informatica
  • 12.5 Microsoft
  • 12.6 Oracle Corporation
  • 12.7 SAP SE
  • 12.8 SAS Institute Inc.
  • 12.9 Software AG
  • 12.10 SQLstream, Inc.
  • 12.11 Striim, Inc.
  • 12.12 TIBCO Software Inc.

List of Tables

  • Table 1 Global Streaming Analytics Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Streaming Analytics Market Outlook, By Component (2021-2030) ($MN)
  • Table 3 Global Streaming Analytics Market Outlook, By Software (2021-2030) ($MN)
  • Table 4 Global Streaming Analytics Market Outlook, By Services (2021-2030) ($MN)
  • Table 5 Global Streaming Analytics Market Outlook, By Professional Services (2021-2030) ($MN)
  • Table 6 Global Streaming Analytics Market Outlook, By Managed Services (2021-2030) ($MN)
  • Table 7 Global Streaming Analytics Market Outlook, By Deployment Type (2021-2030) ($MN)
  • Table 8 Global Streaming Analytics Market Outlook, By On-premise (2021-2030) ($MN)
  • Table 9 Global Streaming Analytics Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 10 Global Streaming Analytics Market Outlook, By Public Cloud (2021-2030) ($MN)
  • Table 11 Global Streaming Analytics Market Outlook, By Private Cloud (2021-2030) ($MN)
  • Table 12 Global Streaming Analytics Market Outlook, By Hybrid Cloud (2021-2030) ($MN)
  • Table 13 Global Streaming Analytics Market Outlook, By Organization Size (2021-2030) ($MN)
  • Table 14 Global Streaming Analytics Market Outlook, By Large Enterprises (2021-2030) ($MN)
  • Table 15 Global Streaming Analytics Market Outlook, By Small & Medium sized Enterprises (2021-2030) ($MN)
  • Table 16 Global Streaming Analytics Market Outlook, By Application (2021-2030) ($MN)
  • Table 17 Global Streaming Analytics Market Outlook, By Fraud Detection (2021-2030) ($MN)
  • Table 18 Global Streaming Analytics Market Outlook, By Marketing & Sales (2021-2030) ($MN)
  • Table 19 Global Streaming Analytics Market Outlook, By Risk Management (2021-2030) ($MN)
  • Table 20 Global Streaming Analytics Market Outlook, By Predictive Asset Management (2021-2030) ($MN)
  • Table 21 Global Streaming Analytics Market Outlook, By Network Management & Optimization (2021-2030) ($MN)
  • Table 22 Global Streaming Analytics Market Outlook, By Location Intelligence (2021-2030) ($MN)
  • Table 23 Global Streaming Analytics Market Outlook, By Supply Chain Management (2021-2030) ($MN)
  • Table 24 Global Streaming Analytics Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 25 Global Streaming Analytics Market Outlook, By End User (2021-2030) ($MN)
  • Table 26 Global Streaming Analytics Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2021-2030) ($MN)
  • Table 27 Global Streaming Analytics Market Outlook, By IT & Telecom (2021-2030) ($MN)
  • Table 28 Global Streaming Analytics Market Outlook, By Retail (2021-2030) ($MN)
  • Table 29 Global Streaming Analytics Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 30 Global Streaming Analytics Market Outlook, By Government (2021-2030) ($MN)
  • Table 31 Global Streaming Analytics Market Outlook, By Media & Entertainment (2021-2030) ($MN)
  • Table 32 Global Streaming Analytics Market Outlook, By Education (2021-2030) ($MN)
  • Table 33 Global Streaming Analytics Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.