市場調查報告書
商品編碼
1570993
流分析市場:現況分析與預測(2024-2032)Streaming Analytics Market: Current Analysis and Forecast (2024-2032) |
串流分析市場預計成長率約為 30.04%。這是因為各行業對資料即時洞察的需求日益成長,推動了流分析解決方案的採用。此外,該產業不斷增加的研發、投資和協作推動流分析市場的發展。例如,2023年8月,微軟宣布收購Activision Blizzard, Inc.。與Activision Blizzard, Inc.的收購重點是進一步加強企業文化並進一步努力加速業務成長。
市場依組件分為軟體和服務。軟體類別可能仍然是流分析市場中最大的市場佔有率持有者,因為它有助於即時資料處理、分析和視覺化,特別是對於想要即時做出基於資料的決策的組織而言。事件產生軟體、基於雲端的軟體、事件流處理工具和機器學習功能可協助 HVD 連接和分析包括 IoT、SMM 和 TS 在內的眾多來源。每個企業都需要先進的流程分析,因為這些工具使組織能夠做出有關提高品質、成長、效率和客戶滿意度的決策,提高組織績效。人工智慧和機器學習等新興技術的動態特性也為創新流分析解決方案的持續成長提供了額外的力量。
根據部署,市場分為本地和雲端。其中,雲端預計在預測期內將以最快的年複合成長率成長,因為它為即時資料處理提供了開放、彈性和廉價的平台。基於雲端的平台是理想的選擇,因為可輕鬆攝取、處理和分析來自各種來源的資料流,而無需進行大量本地投資。資源的按需擴展以及與巨量資料、物聯網和人工智慧的兼容性加快流分析在各個領域的採用步伐。此外,雲端解決方案的高可用性可協助各種規模的企業應用高階分析來進行即時決策、工作流程最佳化和消費者了解,推動市場成長。
依應用程式劃分,市場分為行銷與銷售、網路管理與最佳化、位置智慧、詐欺偵測等。其中,行銷和銷售部門是串流分析市場的關鍵驅動力,因為它可以利用即時洞察來提高客戶參與度、規劃和執行活動以及銷售策略。透過串流分析,可分析來自社群媒體、電商平台、數位廣告等各種管道的大量客戶資料,即時了解客戶行為和趨勢。這使得行銷和銷售能夠增加客戶價值並提高轉換率,同時降低成本和風險。
依產業劃分,市場分為 IT/電信、媒體/娛樂、BFSI、醫療保健等。其中,IT 和電信領域是流分析市場的關鍵驅動力,因為它從網路流量、客戶互動和物聯網設備等眾多來源產生大量即時資料。這些行業的公司希望提高營運效率、改善客戶關係並保持競爭優勢,依靠流分析來即時處理和分析此類資料。此功能提供對網路、使用者活動和所提供服務品質的即時可見性,可以確定當前趨勢的出現。此外,5G 網路和雲端服務市場的成長需要日益複雜的流分析,這進一步推動了市場的發展。
為了更了解流分析的市場導入,市場根據北美 (美國、加拿大、北美其他地區) 、歐洲 (德國、英國、法國、西班牙、義大利、歐洲其他地區) 、亞太地區 (中國、日本、印度、亞太其他地區) 和世界其他國家的全球布局進行分析。特別是,由於該地區數位化、物聯網擴張以及人工智慧和機器學習等技術的採用等趨勢,亞太地區的流分析市場穩步成長。如今,零售、金融、電信和製造業利用串流分析來即時做出更好的決策、完善其活動並改善客戶體驗。向智慧城市、5G 網路和基於雲端的解決方案的轉變顯著增加需求,其中中國、印度和日本等國家引領市場。該地區中小企業(SME)日益採用高效且廉價的統計分析和商業智慧工具,也推動了這一趨勢。
推動市場的主要公司包括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.