市场调查报告书
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1570993
流分析市场:现况分析与预测(2024-2032)Streaming Analytics Market: Current Analysis and Forecast (2024-2032) |
串流分析市场预计成长率约为 30.04%。这是因为各行业对资料即时洞察的需求日益成长,推动了流分析解决方案的采用。此外,该产业不断增加的研发、投资和协作推动流分析市场的发展。例如,2023年8月,微软宣布收购Activision Blizzard, Inc.。与Activision Blizzard, Inc.的收购重点是进一步加强企业文化并进一步努力加速业务成长。
市场依组件分为软体和服务。软体类别可能仍然是流分析市场中最大的市场占有率持有者,因为它有助于即时资料处理、分析和视觉化,特别是对于想要即时做出基于资料的决策的组织而言。事件产生软体、基于云端的软体、事件流处理工具和机器学习功能可协助 HVD 连接和分析包括 IoT、SMM 和 TS 在内的众多来源。每个企业都需要先进的流程分析,因为这些工具使组织能够做出有关提高品质、成长、效率和客户满意度的决策,提高组织绩效。人工智慧和机器学习等新兴技术的动态特性也为创新流分析解决方案的持续成长提供了额外的力量。
根据部署,市场分为本地和云端。其中,云端预计在预测期内将以最快的年复合成长率成长,因为它为即时资料处理提供了开放、弹性和廉价的平台。基于云端的平台是理想的选择,因为可轻鬆摄取、处理和分析来自各种来源的资料流,而无需进行大量本地投资。资源的按需扩展以及与巨量资料、物联网和人工智慧的兼容性加快流分析在各个领域的采用步伐。此外,云端解决方案的高可用性可协助各种规模的企业应用高阶分析来进行即时决策、工作流程最佳化和消费者了解,推动市场成长。
依应用程式划分,市场分为行销与销售、网路管理与最佳化、位置智慧、诈欺侦测等。其中,行销和销售部门是串流分析市场的关键驱动力,因为它可以利用即时洞察来提高客户参与度、规划和执行活动以及销售策略。透过串流分析,可分析来自社群媒体、电商平台、数位广告等各种管道的大量客户资料,即时了解客户行为和趋势。这使得行销和销售能够增加客户价值并提高转换率,同时降低成本和风险。
依产业划分,市场分为 IT/电信、媒体/娱乐、BFSI、医疗保健等。其中,IT 和电信领域是流分析市场的关键驱动力,因为它从网路流量、客户互动和物联网设备等众多来源产生大量即时资料。这些行业的公司希望提高营运效率、改善客户关係并保持竞争优势,依靠流分析来即时处理和分析此类资料。此功能提供对网路、使用者活动和所提供服务品质的即时可见性,可以确定当前趋势的出现。此外,5G 网路和云端服务市场的成长需要日益复杂的流分析,这进一步推动了市场的发展。
为了更了解流分析的市场导入,市场根据北美 (美国、加拿大、北美其他地区) 、欧洲 (德国、英国、法国、西班牙、义大利、欧洲其他地区) 、亚太地区 (中国、日本、印度、亚太其他地区) 和世界其他国家的全球布局进行分析。特别是,由于该地区数位化、物联网扩张以及人工智慧和机器学习等技术的采用等趋势,亚太地区的流分析市场稳步成长。如今,零售、金融、电信和製造业利用串流分析来即时做出更好的决策、完善其活动并改善客户体验。向智慧城市、5G 网路和基于云端的解决方案的转变显着增加需求,其中中国、印度和日本等国家引领市场。该地区中小企业(SME)日益采用高效且廉价的统计分析和商业智慧工具,也推动了这一趋势。
推动市场的主要公司包括IBM、Microsoft、Google Inc.、Software GmbH、Confluent, Inc.、Amazon Web Services, Inc.、Informatica Inc.、Impetus Technologies, Inc.、Cloud Software Group, Inc.、Oracle等
The streaming analytics means the technology and software solutions used in real-time technology for the analysis of continuous data feed from social media, IoT devices, and transaction systems. This market is characterized by the ability to deliver Analytical Services to organizations with a prominent level of timeliness, to support decision-making and operations. The global data integrations and ingestions market is primarily governed by factors like the unprecedented rise in data production, upsurge in IoT applications, demand for emerging analytics across verticals that include finance, healthcare, and retail sectors besides others, and the focus on the utilization of data in decision making. Also, cloud computing and advancements in machine learning technologies improve the applicability and capability of streaming analytics to increase the rate of business implementation of streaming analytics.
The streaming analytics market is set to show a growth rate of about 30.04%. This is due to the growing need for immediate insights from data across industries that drive the adoption of streaming analytics solutions. Also, increasing R&D, investment, and collaborations in this industry drive the streaming analytics market. For instance, in August 2023, Microsoft declared the acquisition of Activision Blizzard, Inc. to bring more resourceful and inventive games to performers everywhere and on any device. The acquisition with Activision Blizzard, Inc. focused on driving efforts to further strengthen the company's culture and accelerate business growth.
Based on the components, the market is bifurcated into software and services. The software category is likely to still be the largest market shareholder of the streaming analytics market as it helps to process, analyze, and visualize data in real-time, especially for organizations that wish to make decisions based on data in real-time. Event generation software, cloud-based software along with event stream processing tools and machine learning facilities help to connect and analyze HVDs from numerous sources, including IoT, SMM, and TSs. These tools enable organizations to make decisions on quality, growth, and efficiency, better customer satisfaction for improving organizational performance, and thus the need for advanced streaming analytics for every business. The dynamic nature of the technologies that have appeared, like AI and ML, also plays an added strength in the continuous growth of innovative solutions for streaming analytics solutions.
Based on the deployment, the market is bifurcated into On-premises and Cloud. Among these, the Cloud category is expected to grow at the fastest CAGR during the forecast period by offering open, elastic, and cheap platforms for processing real-time data. Cloud-based platforms are ideal because they allow organizations to easily capture, process, and analyze data streams from various sources without having to make huge investments in local premises. On-demand scalability of resources and compatibility with Big Data, IoT, and AI quicken the pace of adopting streaming analytics in diverse sectors. Moreover, cloud solutions provide better availability, which can help businesses of many sizes apply sophisticated analytics for real-time decision-making, workflow optimization, and consumer understanding, thus promoting market growth.
Based on the applications, the market is segmented into marketing and sales, network management & optimization, location intelligence, fraud detection, and others. Among these, the marketing and sales segment is a key driver of the streaming analytics market as it empowers organizations to use real-time insights in improving their customer engagement, planning, and execution of campaigns and sales tactics. Through streaming analytics, they can analyze massive amounts of customer data from various channels including social media, e-commerce platforms, and digital advertising, and gain real-time insights into customers' behavior and trends. This enables marketing and sales to increase customer value and perfect the conversion ratio while reducing cost and risk, therefore, the growth of streaming analytics is seen across most industries.
Based on the industry, the market is segmented into IT and telecom, media and entertainment, BFSI, healthcare, and others. Among these, the IT and telecom segment is a key driver of the streaming analytics market as it generates enormous amounts of real-time data from numerous sources, such as network traffic, customer interactions, and Internet of Things devices. As the companies in these sectors look to increase operational efficiency, better customer relations and retain a competitive edge they turn to stream analytics to process this data and analyze it in real time. This capability provides real-time visibility into the networks, user activities, and the quality of services delivered, making it possible for decisions to be made where there is an emergence of current trends. Moreover, with 5G networks and the growth of the cloud services market, there is a push for having increasingly sophisticated streaming analytics, which drives the market further.
For a better understanding of the market adoption of streaming analytics, the market is analyzed based on its worldwide presence in countries such as North America (U.S., Canada, and the Rest of North America), Europe (Germany, U.K., France, Spain, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Rest of Asia-Pacific), Rest of World. Among these, the market for Streaming Analytics in the Asia-Pacific region is also growing steadily owing to trends such as the digitalization of Asia-Pacific, the expansion of IoT, and the adoption of technologies like AI and machine learning. Today, retail, finance, telecommunications, and manufacturing businesses are successfully using streaming analytics to make better decisions in real-time, perfect their activities, and improve the clients' experiences. Smart cities, 5G networks, and the shift to cloud-based solutions increase the demand significantly more with countries such as China, India, and Japan taking the lead in the market. Another driver is the rising adoption of efficient and inexpensive Statistical Analytics and Business Intelligence tools by using Small and Medium-sized enterprises-SMEs across this region.
Some major players running in the market include IBM; Microsoft; Google Inc.; Software GmbH; Confluent, Inc.; Amazon Web Services, Inc.; Informatica Inc.; Impetus Technologies, Inc.; Cloud Software Group, Inc.; and Oracle.