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市場調查報告書
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1639495

亞太營運智慧:市場佔有率分析、產業趨勢與成長預測(2025-2030 年)

APAC Operational Intelligence - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)

出版日期: | 出版商: Mordor Intelligence | 英文 122 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2025年亞太地區營運智慧市場規模預估為89.6億美元,預估至2030年將達146.9億美元,預測期間(2025-2030年)複合年成長率為10.38%。

亞太營運情報-市場-IMG1

營運智慧 (OI) 是 IT 部門使用的一種技術,可以提高對底層業務事件的可見度並發現大量跨組織見解。該技術利用即時資料運作。

主要亮點

  • 由於該技術的可用性,亞太地區的營運智慧市場預計將快速成長。營運智慧幫助您提高業務效率。營運智慧為組織提供有關其供應鏈中關鍵促進因素的情報,並幫助他們從中獲得最大利益。將即時分析、警報和操作的優勢應用於企業內部和外部的廣泛使用案例。它將即時資料和事件與歷史資料關聯起來,讓企業能夠即時查看資訊。讓資訊觸手可及,幫助企業做出更明智的決策並實現利潤最大化。
  • 2023年10月,總部位於越南的全球科技公司FPT與電腦視覺平台和人工智慧(AI)軟體公司Landing AI宣佈建立策略合作關係,以推進AI應用和教育。
  • 營運智慧是提高業務效率的關鍵槓桿之一。營運智慧為組織提供整個價值鏈中關鍵促進因素的可行見解。營運智慧將完整的資訊放在您的手中,使您能夠及時做出更明智的決策,以最大限度地發揮影響力。 OI 將來自串流媒體和歷史資料孤島的不同事件和資料關聯起來,使組織能夠提供高級儀表板、對業務績效、健康和狀態的即時洞察,以及基於業務策略和流程的即時可操作洞察。您可視化資訊根據具體情況,即時了解情況,以便您採取行動。
  • 營運智慧將即時分析、警報和行動的優勢應用於企業內部和外部的使用案例。透過基於網路的技術收集、共用、分析和應用營運情報的能力為各級商業組織的決策者提供了更好的方式來充分利用他們的資源。 OI 會準確地告訴您與業務相關的確切區域或地理位置上正在發生的事情。
  • 營運智慧是商業情報和管理資訊系統的革命性技術飛躍。這是因為使經營團隊能夠及時應對業務變化和市場波動可以最大限度地減少不確定的業務程序和市場中斷造成的不利影響。
  • COVID-19 的蔓延加速了營運智慧技術的採用。對於企業來說,利用數位技術解決方案來提高偏遠地區的業務效率至關重要。
  • 由於新冠疫情導致經濟需求遭受重創,亞太能源產業正在加速採用第四次工業革命的數位工具箱,以提高業務效率。此外,國際能源總署(IEA)預計,隨著疫情衝擊能源產業,全球能源投資預計將較前幾年下降20%,降幅超過4,000億美元。此外,俄羅斯和烏克蘭之間的戰爭正在影響整個包裝生態系統。

亞太地區營運智慧市場趨勢

即時資料分析需求的不斷成長預計將推動市場

  • 即時巨量資料分析是一場巨量資料革命。巨量資料分析在建立原始檔案後轉換資料庫,而即時巨量資料數據分析則在建立原始檔案時會轉換。換句話說,模糊的原始資料在創建後幾毫秒內就會轉換為有用的資料。答案會及時給出。
  • 企業因決策和業務延遲而遭受損失。即時分析透過讓企業領導者能夠根據快速、可操作的資料洞察做出決策來克服這一問題。這意味著企業可以避免代價高昂的延誤,抓住機遇,並預測問題。
  • 幾乎任何企業(甚至個人)都可以使用即時資料分析來實現各種目的。即時資料分析是經營企業和維持財務團隊全速運作的必要條件。財務團隊將即時數據用於各種目的,包括確定日常業務的運作(識別資料)、實施流程改進(分析 KPI)以及監控公司的財務狀況(彙報)。
  • SAP HANA 在單一資料庫中結合了強大的資料處理、應用服務和靈活的資料整合功能。 HANA 使用記憶體內資料庫軟體,允許使用者查詢儲存在系統記憶體(RAM)中而不是實體磁碟機上的資料。客戶可以以多種方式更快地處理資料,並創建一系列假設情境以利用機會或避免陷阱。 IBM 和Oracle等老牌技術供應商也正在利用新技術實現其平台上的即時操作。
  • 儘管在處理大量資料時非常謹慎,但即時資料分析仍存在一些缺點。即時資料分析需要存取大量資料來管理和快速回應請求。換句話說,即時巨量資料分析必須回應市場和業務因素才能做出有效、有效率的即時決策。

巨量資料分析和物聯網 (IoT) 的日益普及預計將推動市場發展

  • 最終用戶對巨量資料分析和物聯網 (IoT) 的採用將推動市場發展。在過去十年中,由於巨量資料的興起以及快速做出關鍵業務決策的需求日益增加,營運智慧 (OI) 和分析解決方案已經獲得了顯著的市場佔有率。根據 IBM 調查,62% 的商家認為使用資料(巨量資料和分析)將為他們的業務帶來競爭優勢。相較之下,所有產業的回應比例為 63%。
  • 此外,物聯網 (IoT) 是數位連接向我們的家庭、職場、汽車以及幾乎所有地方的設備和感測器的延伸。由於這項突破,幾乎任何設備現在都可以收集和通訊有關其活動的資料,這些數據可以透過分析來協助監控和各種自動化功能。物聯網需要操作智慧(OI)來完成這些任務。例如,PTC Inc. 正在利用 IIoT 提供的營運效率洞察來評估即時生產效能並預見問題的發生。
  • 疫情期間,醫療、製造業、零售業等產業的數位轉型導致資料產生增加。製造業的自動化由工業IoT和人工智慧(AI)推動。庫存管理、資產管理、預測性維護、即時警報和互聯製造等技術正在實施,以幫助製造商即使在不確定的商業條件下也能蓬勃發展。
  • 根據 GSMA 預測,2020 年至 2030 年間,全球物聯網 (IoT) 連線數量將會成長,到 2030 年企業物聯網連線總合將達到 240 億。亞太地區位居榜首,預計到 2030 年連接數將達到 182 億。

亞太地區營運智慧產業概況

亞太地區營運智慧市場分散且競爭激烈,大大小小的供應商都提供業務視覺性和洞察力,使企業能夠做出資料主導的決策。主要參與者包括維多利亞科技和Splunk。

  • 2023 年 8 月 - Open Text 宣布與 Google Cloud 合作,提供由 AI 驅動的整合功能,幫助公司釋放 Google Cloud 上資料的力量,從而獲得競爭優勢。 Open Text 資訊管理解決方案與 Google Cloud 的 AI 功能的聯合創新可加速獲得洞察、提高生產力並轉變各種規模組織的客戶體驗。
  • 2022 年 12 月-Accenture收購顧問和客戶洞察公司 Fiftyfive5。此次收購將使Accenture Song(原為Accenture Interactive)能夠更有效地幫助澳洲和紐西蘭的客戶利用資料洞察和績效行銷來推動成長和創新。收購Fiftyfive5旨在增強Accenture在澳洲和紐西蘭的客戶智慧能力。 FiftyFive5 成立於 2010 年,專注於機會識別、品牌策略和定位、創新、品類策略(通路、購物者、零售、忠誠度)、定價、CX 和體驗測量以及品牌傳播追蹤。
  • 2022 年 5 月 - 總部位於懷俄明州、在南佛羅裡達州設有辦事處的 PreIPO Corporation 簽署協議,收購 TABS Suite Pte 的資產和智慧財產權。該新加坡公司由 Kabra 家族辦公室創立,其專有的「Diligence-as-a-ServiceTM」技術將作為 PreIPO 營運平台的關鍵組成部分。

其他福利:

  • Excel 格式的市場預測 (ME) 表
  • 3 個月的分析師支持

目錄

第 1 章 簡介

  • 研究假設和市場定義
  • 研究範圍

第2章調查方法

第3章執行摘要

第4章 市場洞察

  • 產業吸引力-波特五力分析
    • 新進入者的威脅
    • 買家的議價能力
    • 供應商的議價能力
    • 替代品的威脅
    • 競爭對手之間的競爭

第5章 市場動態

  • 市場促進因素
    • 對即時資料分析的需求日益增加
    • 巨量資料分析和物聯網 (IoT) 的採用日益廣泛
  • 市場限制
    • 合併來自多個資料來源的資料

第6章 市場細分

  • 依部署類型
    • 本地
  • 按最終用戶產業
    • 零售
    • 製造業
    • BFSI
    • 政府
    • 資訊科技/通訊
    • 軍事和國防
    • 運輸和物流
    • 衛生保健
    • 能源和電力

第7章 競爭格局

  • 公司簡介
    • Vitria Technology Inc.
    • Splunk Inc.
    • SAP SE
    • Inside Analysis(The Bloor Group)
    • Software AG
    • Schneider Electric SE
    • Rolta India Limited
    • SolutionsPT Ltd
    • IBENOX Pty Ltd
    • Turnberry Corporation
    • HP Inc.
    • OpenText Corporation

第8章投資分析

第9章 市場機會與未來趨勢

簡介目錄
Product Code: 50579

The APAC Operational Intelligence Market size is estimated at USD 8.96 billion in 2025, and is expected to reach USD 14.69 billion by 2030, at a CAGR of 10.38% during the forecast period (2025-2030).

APAC Operational Intelligence - Market - IMG1

Operational intelligence (OI) is a technology that the IT department uses to increase the visibility of potential business events and uncover insights across numerous organizational verticals. The technology uses real-time data to function.

Key Highlights

  • Asia Pacific's market for Operational Intelligence is estimated to grow at a rapid pace because of the effectiveness of the technology. Operational Intelligence helps to increase operational efficiency. It helps organizations with intelligence about the key drivers in their supply chain and to get the maximum out of it. It applies the benefits of real-time analytics, alerts, and actions to a broad spectrum of use cases across and beyond the enterprise. It correlates the data and events in real time with the historical data, and the companies gain real-time visibility of information. It gives the information at their fingertips so that the companies can make smarter decisions and maximize profits.
  • In October 2023, FPT, a global technology firm headquartered in Vietnam, and Landing AI, offering a computer vision platform and artificial intelligence (AI) software company, announced a strategic relationship that would drive the application and education of AI.
  • Operational Intelligence is one of the key levers for uplifting operational efficiency. It equips organizations with actionable insights into their key drivers across the entire value chain. Operational Intelligence places complete information at one's fingertips, enabling one to make smarter decisions in time to maximize impact. By correlating a wide variety of events and data from both streaming feeds and historical data silos, OI helps organizations gain real-time visibility of information, in context, through advanced dashboards, real-time insight into business performance, health, and status so that immediate action based on business policies and processes can be taken.
  • Operational Intelligence applies the benefits of real-time analytics, alerts, and actions to a broad spectrum of use cases across and beyond the enterprise. The collection, sharing, analysis, and application of Operational Intelligence via web-based technology gives decision-makers at all levels in a commercial organization an exceptional means to maximize the use of their resources. OI tells them precisely what is going on in the precise domain or geographical location of their operation that concerns them.
  • Operational Intelligence is an evolutionary and technological leap beyond Business Intelligence and Management Information systems that presents a retrospective, static, and at best generic Intelligence about an organization's performance. These unique advantages of OI over conventional tools will drive the market ahead in the coming years as companies that enable their management to respond in a timely manner to operational variances and market volatility are better placed to minimize the adverse impacts caused by uncertain operational procedures and disturbances in the market.
  • COVID-19's spread hastened the implementation of operational intelligence techniques. It is critical for businesses to use digitally enabled solutions to improve the efficiency of operations when working remotely.
  • The Asia-Pacific energy industry is accelerating its adoption of the 4th Industrial Revolution digital toolbox and embedding better operational efficiencies as a result of the economic demand devastation caused by the COVID-19 epidemic. In addition, as the pandemic takes a toll on the energy sector, worldwide investment in the sector is likely to drop 20%, or over USD 400 billion, compared to previous years, according to International Energy Agency. There has also been an impact of the Russia-Ukraine war on the overall packaging ecosystem.

APAC Operational Intelligence Market Trends

Growing Need for Real Time Data Analytics is Expected to Drive the Market

  • Real-time big data analytics is a big data innovation. While big data analysis converts the database after the raw files are created, real-time big data analysis converts the raw files as they are created. In other words, the hazy raw data is turned into useful data milliseconds after creation. The responses come in a timely manner.
  • Businesses lose money due to delays in decision-making and operations. Real-time analytics overcomes this problem by allowing company leaders to make decisions based on rapid and actionable data insights. This means businesses can avoid costly delays, seize opportunities, and anticipate issues.
  • Real-time data analytics can be used for various purposes in almost any business (and even on an individual basis). Real-time data analytics is a prerequisite when it comes to running a firm and keeping a finance team going at full capacity. Finance teams can use real-time data analytics for a variety of purposes, including determining how everyday operations are working (identify bottlenecks), implementing process improvements (analyze KPIs), and monitoring a company's financial position (reporting), to mention a few.
  • SAP HANA is a single database that combines powerful data processing, application services, and flexible data integration capabilities into a single database. HANA uses in-memory database software, which allows users to query data kept in the system's memory (RAM) rather than on physical drives. Customers may now process data in various ways much faster and create a series of what-if scenarios to help them capitalize on opportunities or prevent pitfalls. Established technology suppliers, such as IBM and Oracle, have also used new technology to enable real-time operations in their platforms.
  • Despite being attentive in dealing with massive amounts of data, real-time data analytics has some drawbacks. Real-time data analytics must be accessible to manage enormous amounts of data and respond quickly to requests. This implies that real-time big data analytics should be capable of dealing with market and business elements to make effective and efficient real-time judgments.

Increasing Adoption of Big Data Analytics and the Internet-of-Things (IoT) is Expected to Drive the Market

  • The market is driven by end-user adoption of big data analytics and the Internet of Things (IoT). Operational intelligence (OI) and analytics solutions have earned a significant market share in the last decade thanks to the rise of Big Data and the growing need to make key business decisions quickly. According to IBM, 62% of merchants believe using data (Big Data and analytics) gives their businesses a competitive advantage. This number compares to 63% of responses from all industries.
  • Furthermore, the Internet of Things (IoT) is a digital connectivity extension to gadgets and sensors in homes, workplaces, automobiles, and practically any place. As a result of this breakthrough, nearly any device may now collect and communicate data on its activities, which can then be analyzed to aid monitoring and various automatic functions. IoT requires operational intelligence to complete these duties (OI). PTC Inc, for example, uses IIoT-delivered operational efficiency insights to evaluate real-time production performance and anticipate problems before they occur.
  • During the pandemic, digital transformation in healthcare, manufacturing, retail, and other industries increased data creation. Automation in the manufacturing business is driven by industrial IoT and artificial intelligence (AI). Inventory management, asset management and predictive maintenance, real-time alerts, network manufacturing, and other technologies are being introduced to help the manufacturing industry prosper in uncertain business situations.
  • According to GSMA, the global number of Internet of Things (IoT) connections is expected to increase through the period from 2020 to 2030, with an forecast total of 24 billion enterprise IoT connections in 2030. The Asia Pacific region leads the list is expected to 18.2 billion connections by 2030.

APAC Operational Intelligence Industry Overview

The Asia-Pacific market for operational intelligence is fragmented and competitive, with small and big vendors providing visibility and insight into the business operations, allowing companies to make data-driven decisions. Key players are Vitria Technology Inc., Splunk Inc., etc.

  • August 2023 - OpenText announced a partnership with Google Cloud to deliver AI-powered integrations that would assist organizations in unlocking the power of their data on Google Cloud to their competitive advantage. The co-innovation of OpenText's information management solutions and Google Cloud's AI capabilities will accelerate how organizations of all sizes surface insights quickly, boost productivity, and transform customer experiences.
  • December 2022 - Accenture acquired advisory and customer insights company Fiftyfive5. This acquisition will enable Accenture Song (formerly Accenture Interactive) to better assist clients in Australia and New Zealand in utilizing data insights and performance marketing to drive growth and innovation. The acquisition of Fiftyfive5 is aimed at improving Accenture's customer intelligence capabilities in Australia and New Zealand. Fiftyfive5, founded in 2010, specializes in opportunity identification, brand strategy and positioning, innovation, category strategy (channel, shopper, retail, and loyalty), pricing, CX and experience measurement, and brand communications tracking.
  • May 2022 - PreIPO Corporation, a Wyoming-based company with offices in South Florida, signed a contract to purchase the assets and intellectual property of TABS Suite Pte. Ltd. The Singaporean business was founded by the Kabra family office and its exclusive "Diligence-as-a-ServiceTM" technology will be incorporated as a crucial component of the PreIPO Operating Platform.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHT

  • 4.1 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.1.1 Threat of New Entrants
    • 4.1.2 Bargaining Power of Buyers
    • 4.1.3 Bargaining Power of Suppliers
    • 4.1.4 Threat of Substitute Products
    • 4.1.5 Intensity of Competitive Rivalry

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Growing Need for Real Time Data Analytics
    • 5.1.2 Increasing Adoption of Big Data Analytics and the Internet-of-Things (IoT)
  • 5.2 Market Restraint
    • 5.2.1 Combining Data from Multiple Data Sources

6 MARKET SEGMENTATION

  • 6.1 By Deployment Type
    • 6.1.1 Cloud
    • 6.1.2 On-Premise
  • 6.2 By End-user Vertical
    • 6.2.1 Retail
    • 6.2.2 Manufacturing
    • 6.2.3 BFSI
    • 6.2.4 Government
    • 6.2.5 IT and Telecommunication
    • 6.2.6 Military and Defense
    • 6.2.7 Transportation and Logistics
    • 6.2.8 Healthcare
    • 6.2.9 Energy and Power

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Vitria Technology Inc.
    • 7.1.2 Splunk Inc.
    • 7.1.3 SAP SE
    • 7.1.4 Inside Analysis (The Bloor Group)
    • 7.1.5 Software AG
    • 7.1.6 Schneider Electric SE
    • 7.1.7 Rolta India Limited
    • 7.1.8 SolutionsPT Ltd
    • 7.1.9 IBENOX Pty Ltd
    • 7.1.10 Turnberry Corporation
    • 7.1.11 HP Inc.
    • 7.1.12 OpenText Corporation

8 INVESTMENT ANALYSIS

9 MARKET OPPORTUNITIES AND FUTURE TRENDS