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市场调查报告书
商品编码
1308697

到2030年的流分析市场预测-按组件、部署类型、组织规模、应用程序、最终用户和区域进行的全球分析

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个工作天内

价格

根据Stratistics MRC 的数据，2023 年全球流媒体分析市场规模将达到187.7 亿美元，预测期内復合年增长率为24.8%，到2030 年将达到885.3 亿美元，预计将达到美元。

流式分析通过提供对决策工具箱的实时洞察来补充传统分析。 也称为事件流处理，它自动处理和分析大规模实时资讯或称为事件流的动态数据。 事件流包含由于某些操作而发生的事件，例如设备故障、金融交易和其他操作。

根据美国零售联合会 (NRF) 2018 年的一项研究，有组织零售犯罪 (ORC) 造成的财务影响使零售商每 10 亿美元销售额损失 777,877 美元。

市场动态：

促进因素

向实时战略转变

通过数据可视化显示见解以及对流数据提供实时预测都是流分析的两个方面。 利用为客户提供的预测模型来实现准确的实时决策。 整个迭代过程涉及对复杂数据集进行严格的实验，并跟踪关键绩效指标 (KPI)、指标和与特定部门相关的其他关键数据点。 流分析用于运营改进，以改进决策并实现根据需要自动化、优化和指导决策的能力，以实现既定的企业目标。 认识到流分析价值的公司优先考虑成功吸引客户和跟踪消费者情绪的需求。

抑制因素

缺乏与遗留系统的集成

旧系统具有组织可以使用的有价值且重要的业务逻辑。 企业无法承担更新其业务逻辑或丢弃遗留系统的费用，因为遗留系统是企业资产。 这些编码的有价值的业务逻辑是多年编码、开发、实际应用、增强、修改和调试的结果。 大多数遗留系统都是在没有数据或流程模型的情况下创建的，但现在对于提供和支持基于大数据流分析的实时操作资讯至关重要。

机会

持续的合作伙伴关係和产品发布

为了获得相对于竞争对手供应商的优势并扩大商业应用范围，流分析市场的供应商正在寻求提供新的数据集成和復杂的事件流分析功能。 因此，参与者正在使用各种策略，例如推出新产品以及与科技初创企业合作开发突破性解决方案，从而在流分析市场中创造日益增长的潜在优势。 例如，Yellowbrick Data 和 Striim 于 2020 年 6 月合作开发数据流解决方案，以加速数据流应用程序在企业中的采用，并帮助他们获得更快、更准确的见解。

威胁

数据安全问题和严格的数据安全法规

由于高度的数据安全和隐私问题，流分析市场面临重大障碍。 随着网络攻击和安全漏洞的日益频繁，安全和隐私现在被认为是企业最重要的因素。 医疗保健、IT 和电信等主要行业会产生大量大数据，这些行业严重依赖流分析解决方案来促进业务增长和生产力。 大数据流在三个方面与现有技术不同：容量（数据量）、速度（数据生成和传输的速度）和多样性（有组织和非结构化数据的类型）。

COVID-19 的影响：

由于封锁、旅行禁令和企业停业，COVID-19 正在影响每个国家的经济和工业。 各种工厂和工厂的关闭影响了全球供应链，对全球市场上产品的生产、交付和销售产生了不利影响。 多家公司已经宣布推迟产品交付，并且未来可能出现产品销售下滑。 此外，欧洲、亚太和北美国家实施了全球旅行禁令，影响了商业合作和伙伴关係。

预测期内营销和销售额将达到最大：

由于需求不断增长，营销和销售仍然是最大的市场份额。 这是越来越多地使用流分析来改善客户互动，使用消费者分析、活动管理、监控和人口统计分析等策略来改善当前的客户参与政策。它被认为是为了 企业也越来越多地转向流分析解决方案，以更好地了解他们的目标市场和偏好，以及消费者行为和其他资讯。

预计媒体和娱乐领域在预测期内的复合年增长率最高：

随着消费者越来越喜欢在智能手机和平板电脑上使用 OTT 应用程序来访问多媒体内容，预计媒体和娱乐行业在预测期内将呈现最高的复合年增长率。高速无线互联网在全球范围内的日益普及使企业能够向受众提供高质量的内容。 媒体和娱乐公司还使用强大的流媒体分析系统来构建改进的营销计划，以吸引和保留消费者。 此外，来自社交媒体的实时资讯可以通过全渠道销售策略提供个性化的客户体验，从而为公司带来竞争优势。

份额最大的地区

预计在预测期内，北美区域市场将占据全球流媒体分析市场的最高份额。 所有主要的流分析解决方案提供商（例如 Microsoft Corporation、Oracle Corporation 和 IBM Corporation）均位于北美。 这些公司专注于消费者和商业流分析产品的开发和商业化。 推动该区域市场扩张的其他重要因素包括人均收入的增加、精通技术的人口以及个人和商业目的对新兴技术的持续接受。

复合年增长率最高的地区：

预计亚太地区在预测期内将呈现最高增长率。 该区域市场的主要增长动力是智能手机和平板电脑销量的增长、消费物联网设备的使用增加以及中国、印度和日本等国家可支配收入的增加。 随着高速无线互联网网络的发展以及新兴经济体注重升级其老化的基础设施，亚太地区的互联网普及率正在不断上升。 改进的互联网连接使公司可以更轻鬆地部署尖端的物联网传感器和设备来进行过程监控。

主要进展：

2022 年 4 月，微软的 Azure 流分析提供了参考数据的地理空间索引并加速处理，以支持更大的移动资产和车辆车队。

2021年12月，Striim平台将与AWS合作，持续向RedShift交付数据，提供数据库、数据仓库、Salesforce、Amazon S3、日誌文件、消息系统、传感器和Hadoop解决方案。提供非侵入式、实时的时间数据收集和移动

2021 年 11 月，Azure 流分析操作将能够使用此新集成将数据直接馈送到 Azure 数据资源管理器中的表中。 将 Azure 数据资源管理器直接集成为 Azure 流分析的输出，增强了由 Azure 提供支持的实时分析体系结构的功能。

2021 年 4 月，Oracle Stream Analytics 现在使用高级关联模式、丰富和机器学习来处理和分析大量实时数据。 通过提供实时、可操作的业务资讯并根据流数据自动执行操作，帮助您的组织平稳运行。

报告内容

  • 区域和国家级细分市场的市场份额评估
  • 给新进入者的战略建议
  • 2021 年、2022 年、2023 年、2026 年和 2030 年的综合市场数据
  • 市场趋势（市场促进因素/抑制因素/机会/威胁/挑战/投资机会/建议）
  • 根据市场预测提出关键业务领域的战略建议
  • 竞争格局绘製主要共同趋势
  • 公司简介，包括详细的战略、财务状况和最新发展
  • 反映最新技术进步的供应链趋势

免费定制服务：

订阅此报告的客户将获得以下免费自定义选项之一：

  • 公司简介
    • 对其他市场参与者（最多3家公司）进行全面分析
    • 主要公司的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家/地区的市场估计/预测/复合年增长率（注：基于可行性检查）
  • 竞争基准测试
    • 根据产品组合、地域分布和战略联盟对主要参与者进行基准测试

内容

第 1 章执行摘要

第 2 章前言

  • 概述
  • 利益相关者
  • 调查范围
  • 调查方法
    • 数据挖掘
    • 数据分析
    • 数据验证
    • 研究方法
  • 调查来源

第 3 章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • 新冠肺炎 (COVID-19) 的影响

第 4 章波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间存在敌对关係

第 5 章全球流媒体分析市场：按组成部分

  • 软件
  • 服务
    • 专业服务
    • 託管服务

第 6 章全球流分析市场：按部署类型

  • 本机
  • 云端
    • 公有云端
    • 私有云端
    • 混合云端

第 7 章全球流分析市场：按组织规模划分

  • 大企业
  • 中小企业

第 8 章全球流媒体分析市场：按应用划分

  • 欺诈检测
  • 营销销售
  • 危机管理
  • 预测性资产管理
  • 网路管理和优化
  • 位置情报
  • 供应链管理
  • 其他用途

第 9 章全球流媒体分析市场：按最终用户划分

  • 银行、金融服务和保险 (BFSI)
  • IT 与电信
  • 零售
  • 医疗保健
  • 政府
  • 媒体和娱乐
  • 教育
  • 其他最终用户

第 10 章全球流媒体分析市场：按地区

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 意大利
    • 法国
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳大利亚
    • 新西兰
    • 韩国
    • 亚太地区其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙特阿拉伯
    • 阿拉伯联合酋长国
    • 卡塔尔
    • 南非
    • 其他中东和非洲地区

第 11 章主要进展

  • 合同、伙伴关係、协作和合资企业
  • 收购与合併
  • 推出新产品
  • 业务扩展
  • 其他关键策略

第 12 章公司简介

  • 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.