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2121249

亞太地區營運情報：市場佔有率分析、產業趨勢與統計、成長預測（2026-2031）

Asia-Pacific Operation Intelligence - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026 - 2031)
出版日期: | 出版商: Mordor Intelligence | 英文 110 Pages | 商品交期: 2-3個工作天內

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簡介目錄

據 Mordor Intelligence 稱，亞太地區作戰情報市場在 2025 年的價值為 89.6 億美元，預計到 2031 年將達到 160.6 億美元，而 2026 年為 98.7 億美元，預測期（2026-2031 年）的複合成長率為 10.19%。

亞太地區營運情報-市場-IMG1

本報告按組件（軟體和服務）、部署類型（雲端、本地部署、混合部署）、應用（預測性維護、安全監控和分析等）、最終用戶行業（零售和電子商務、製造業、政府和公共部門等）以及地區進行細分。市場預測以美元（USD）計價。

亞太地區投資情報市場的趨勢與洞察

物聯網設備激增，產生即時數據流

亞太地區的工業設施正持續將感測器整合到生產設備、組裝機器人和公用設施基礎設施中。美的集團位於佛山的智慧家電工廠目前每天從87,000個連網執行器取得Terabyte的時間序列數據，預計到2024年，缺陷產品率將降低19%。華晨寶馬瀋陽工廠採集12,000個數控主軸的震動和熱訊號，提前72小時預測軸承故障，並將意外停機時間減少34%。邊緣閘道器在上傳到雲端之前聚合來自感測器的突發數據，滿足亞秒級響應要求，同時將數據傳輸成本降低高達70%。由此產生的資料過載迫使企業遷移到基於Apache Kafka和MQTT的串流原生架構，從而推動了對可擴展營運智慧市場平台的長期需求。

在亞太地區智慧工廠部署政府主導的5G 專用網路。

2024年，泰國監管機構為私有5G網路分配了3.7GHz頻段的100MHz頻寬。這使得正大食品在其沙拉武里工廠能夠支援4500台設備，並保證10毫秒的延遲。韓國為中小型製造商提供高達40%的私人5G基礎設施成本津貼，促成了京畿道和蔚山工業園區內230個5G部署專案的實施。在新加坡裕廊創新區的5G測試平台上，18家製造商正在將頭盔攝影機拍攝的4K影片串流傳輸到雲端視覺模型，從而實現擴增實境（AR）輔助的維護。豐田廣州工廠正在利用5G即時同步沖壓和焊接流程，將未完成庫存減少了22%。隨著確定性無線資料傳輸成為工廠車間的標準配置，這些部署正在推動營運智慧市場的發展。

與傳統OT系統整合的複雜性

日本和韓國的許多現有工廠都依賴三菱的MELSEC、歐姆龍的FINS以及缺乏原生IP連接的串行Modbus鏈路。維修單一單元並加裝協定轉換閘道器的成本在8000美元到15000美元之間，耗時長達14個月，其中包括檢驗和網路安全增強。據西門子稱，由於梯形圖邏輯文件缺失和電氣圖缺失，其在亞太地區2024年的整合項目中有62%被延誤。典型的汽車生產線使用14種不同的現場匯流排標準，每種標準都需要專用的驅動程式。在國防領域的「空氣間隙」設施中，成本更高，因為所有分析處理都必須在本地完成，這會使總擁有成本（TCO）增加高達60%。

細分市場分析

預計到2025年，軟體收入將佔總收入的62.10%，這主要得益於Apache Flink和TIBCO StreamBase等即時分析引擎的支持，這些引擎能夠將多重通訊協定遙測資料轉化為可執行的洞察。然而，隨著企業尋求專家協助，將業務流程映射到符合ISA-95標準的事件驅動架構，預計到2031年，服務領域的複合年成長率將達到11.23%，超過軟體領域的成長。 2024年，將MQTT閘道器改造到已運作數十年的SCADA系統的整合專案佔服務收入的42%，日立Vantara的平均專案合約價值為180萬美元。隨著企業從永久許可轉向保證99.9%運轉率的訂閱計劃，支持合約也不斷擴大。

對直接在串流管道中執行機器學習推理的需求日益成長，推動了整合開發堆疊的發展。阿里雲的DataWorks和Databricks Delta Live Tables使資料工程師能夠協調批量ETL和低延遲評分，而無需管理多個工具。這種融合正在加速引進週期，提高平台供應商的客戶留存率，並進一步擴大營運智慧市場。

預計到2025年，雲端運算將佔總營收的71.05%，這主要得益於超大規模物聯網套件付費使用制。然而，混合架構預計將以11.58%的複合年成長率成長，因為監管摩擦和延遲限制使得許多對時間要求較高的工作負載無法完全外部部署託管。中國的資料本地化法規要求生產遙測資料必須儲存在國內伺服器上，除非通過安全審查，而這個過程可能會使部署計畫延遲6到12個月。華為的FusionPlant將本地邊緣節點與國內雲端區域結合，預計2024年的部署量將成長52%。

在印度，為了遵守《數位個人資料保護法》，物流業者在國內維護司機和客戶數據，同時將敏感度較低的路線分析數據傳輸到全球各地，以最佳化其整個車隊。此外，在印尼爪哇走廊，混合模式透過在將匯總資料傳輸到中央資料湖之前執行本地異常檢測和封閉回路型控制，將典型的 80-150 毫秒往返時間 (RTT) 縮短。這種架構組合使混合模式成為營運智慧市場中成長最快的細分領域。

其他好處

  • Excel格式的市場預測（ME）表
  • 3個月的分析師支持

目錄

第1章：引言

  • 研究假設和市場定義
  • 調查範圍

第2章：調查方法

第3章執行摘要

第4章 市場狀況

  • 市場概覽
  • 市場促進因素
    • 物聯網設備激增，產生即時數據流
    • 基於雲端的巨量資料分析平台的快速普及
    • 製造業和物流業對即時營運可視性的需求日益成長。
    • 在亞太地區智慧工廠部署政府主導的5G 專用網路。
    • 事件驅動型微服務架構的採用率不斷提高
    • 碳排放報告中對「綠色」營運指標的需求日益成長
  • 市場限制因素
    • 與傳統OT系統整合的複雜性
    • 熟練的資料工程和DevOps人員短缺
    • 由於加強了對數據主權的監管，跨境串流媒體受到限制
    • 遍遠地區的高延遲限制了邊緣分析的品質。
  • 產業價值鏈分析
  • 監理情勢
  • 技術展望
  • 波特五力分析
  • 宏觀經濟因素對市場的影響

第5章 市場規模與成長預測

  • 按組件
    • 軟體
      • 即時分析平台
      • 數據視覺化工具
      • 複雜事件處理引擎
    • 服務
      • 諮詢和顧問服務
      • 整合與部署
      • 支援與維護
  • 依部署類型
    • 雲
    • 現場
    • 混合
  • 透過使用
    • 預測性保護
    • 安全監控分析
    • 客戶經驗管理
    • 供應鏈物流最佳化
    • 能源管理
    • 詐欺偵測和風險管理
    • IT營運分析
    • 其他
  • 按最終用戶行業分類
    • 零售與電子商務
    • 製造業
    • 銀行、金融服務和保險（BFSI）
    • 政府/公共部門
    • 資訊科技/通訊
    • 國防/航太
    • 運輸/物流
    • 醫療保健和生命科學
    • 能源與公共產業
    • 其他終端用戶產業
  • 國家
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲和紐西蘭
    • 東南亞
    • 印尼
    • 馬來西亞
    • 菲律賓
    • 新加坡
    • 泰國
    • 越南
    • 亞太其他地區

第6章 競爭情勢

  • 市場集中度
  • 策略趨勢
  • 市佔率分析
  • 公司簡介
    • Alibaba Cloud Computing Co., Ltd.
    • Cloudera, Inc.
    • Databricks, Inc.
    • Fujitsu Limited
    • Hitachi, Ltd.
    • Hewlett Packard Enterprise Company
    • Huawei Technologies Co., Ltd.
    • IBM Corporation
    • Microsoft Corporation
    • NEC Corporation
    • Oracle Corporation
    • PTC Inc.
    • QlikTech International AB
    • SAS Institute Inc.
    • Schneider Electric SE
    • Software AG
    • Splunk Inc.
    • Rolta India Limited
    • Teradata Corporation
    • TIBCO Software Inc.
    • Vitria Technology, Inc.
    • Yokogawa Electric Corporation

第7章 市場機會與未來展望

簡介目錄
Product Code: 50579

According to Mordor Intelligence, the Asia-Pacific operation intelligence market size was valued at USD 8.96 billion in 2025 and estimated to grow from USD 9.87 billion in 2026 to reach USD 16.06 billion by 2031, at a CAGR of 10.19% during the forecast period (2026-2031).

Asia-Pacific Operation Intelligence - Market - IMG1

This report is Segmented by Component (Software and Services), Deployment Type (Cloud, On-Premise, and Hybrid), Application (Predictive Equipment Maintenance, Security and Surveillance Analytics, and More), End-User Vertical (Retail and E-Commerce, Manufacturing, , Government and Public Sector, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Asia-Pacific Operation Intelligence Market Trends and Insights

Proliferation Of IoT Devices Generating Real-Time Data Streams

Industrial facilities across Asia-Pacific continue to embed sensors in production assets, assembly-line robots, and utility infrastructure. Midea Group's smart-appliance factories in Foshan now stream 14 terabytes of time-series data each day from 87,000 connected actuators, cutting scrap by 19% in 2024. BMW Brilliance's Shenyang plant ingests vibration and thermal signals from 12,000 CNC spindles to forecast bearing failures 72 hours ahead and reduce unplanned downtime by 34%. Edge gateways that aggregate sensor bursts before cloud upload have trimmed egress costs by as much as 70% while still meeting sub-second response requirements. The resulting data deluge is pushing enterprises toward stream-native architectures anchored in Apache Kafka and MQTT, strengthening long-term demand for scalable operation intelligence market platforms.

Government-Led 5G Private-Network Roll-Outs In Asia-Pacific Smart Factories

Thailand's regulator allocated 100 MHz in the 3.7 GHz band for private 5G in 2024, enabling Charoen Pokphand Foods to support 4,500 devices with guaranteed 10-millisecond latency at its Saraburi complex. South Korea subsidized up to 40% of private-5G infrastructure costs for small and mid-size manufacturers, catalyzing 230 deployments across Gyeonggi and Ulsan industrial parks. Singapore's 5G testbed at Jurong Innovation District lets 18 manufacturers stream 4K video from helmet cameras to cloud-vision models for augmented-reality maintenance. Toyota's Guangzhou plant synchronizes press-shop and welding operations in real time over 5G, cutting work-in-process inventory by 22%. These roll-outs reinforce the operation intelligence market by making deterministic, wire-free data transport a factory-floor default.

Integration Complexity With Legacy OT Systems

Brownfield factories in Japan and South Korea often rely on Mitsubishi MELSEC, Omron FINS, and serial Modbus links that lack native IP connectivity. Retrofitting a single cell with protocol-translation gateways costs USD 8,000-15,000 and can take up to 14 months once validation and cybersecurity hardening are included. Siemens disclosed that 62% of its 2024 Asia-Pacific integration projects faced delays caused by undocumented ladder logic and missing electrical drawings. A typical automotive line may run 14 field-bus standards, each needing custom drivers. Air-gapped facilities in defense elevate cost further because all analytics must execute on-premise, increasing total cost of ownership by up to 60%.

Other drivers and restraints analyzed in the detailed report include:

  1. Growing Need For Real-Time Operational Visibility In Manufacturing And Logistics
  2. Increasing Demand For "Green" OI In Carbon-Compliance Reporting
  3. Shortage Of Skilled Data-Engineering And DevOps Talent

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Software retained a 62.10% revenue share in 2025, anchored by real-time analytics engines such as Apache Flink and TIBCO StreamBase that transform multi-protocol telemetry into actionable insights. However, services are projected to outpace software at an 11.23% CAGR through 2031 as companies seek expert help to map business processes to event-driven architectures aligned with ISA-95. Integration engagements that retrofit decades-old SCADA lines with MQTT gateways accounted for 42% of 2024 services revenue, and average project value at Hitachi Vantara reached USD 1.8 million. Support contracts are also expanding as enterprises shift from perpetual licenses to subscription bundles that guarantee 99.9% uptime.

Demand for machine-learning inference directly inside streaming pipelines is sharpening focus on unified development stacks. Alibaba Cloud's DataWorks and Databricks Delta Live Tables let data engineers orchestrate both batch ETL and low-latency scoring without managing multiple tools. This convergence accelerates deployment cycles and improves stickiness for platform vendors, further enlarging the operation intelligence market.

Cloud held 71.05% of revenue in 2025, buoyed by the pay-as-you-go convenience of hyperscale IoT suites. Yet hybrid architectures are forecast to rise at an 11.58% CAGR because regulatory friction and latency constraints make full off-premise hosting impractical for many time-sensitive workloads. China's data-localization rules require that production telemetry stay on domestic servers unless security reviews are passed, a process that can add 6-12 months to rollout timelines. Huawei's FusionPlant, which combines on-premise edge nodes with domestic cloud regions, saw installs climb 52% in 2024.

In India, logistics operators keep driver and customer data in-country to comply with the Digital Personal Data Protection Act, while forwarding non-sensitive route analytics to global regions for fleet-wide optimization. Hybrid models also mitigate 80-150 millisecond RTTs common in Indonesia's Java corridor by performing anomaly detection and closed-loop control locally before forwarding aggregates to a central lake. The resulting architectural mix positions hybrid as the fastest-growing slice of the operation intelligence market.

Complete Report Scope:

  • By Component
    • Software
      • Real-time Analytics Platforms
      • Data-visualisation Tools
      • Complex-event-processing Engines
    • Services
      • Consulting and Advisory
      • Integration and Deployment
      • Support and Maintenance
  • By Deployment Type
    • Cloud
    • On-Premise
    • Hybrid
  • By Application
    • Predictive Equipment Maintenance
    • Security and Surveillance Analytics
    • Customer-experience Management
    • Supply-chain and Logistics Optimisation
    • Energy Management
    • Fraud Detection and Risk Management
    • IT Operations Analytics
    • Other Application
  • By End-user Vertical
    • Retail and E-commerce
    • Manufacturing
    • Banking, Financial Services and Insurance (BFSI)
    • Government and Public Sector
    • Information Technology and Telecommunications
    • Defence and Aerospace
    • Transportation and Logistics
    • Healthcare and Life Sciences
    • Energy and Utilities
    • Other End-user Vertical
  • By Country
    • China
    • Japan
    • India
    • South Korea
    • Australia and New Zealand
    • Southeast Asia
    • Indonesia
    • Malaysia
    • Philippines
    • Singapore
    • Thailand
    • Vietnam
    • Rest of Asia-Pacific

List of Companies Covered in this Report:

  1. Alibaba Cloud Computing Co., Ltd.
  2. Cloudera, Inc.
  3. Databricks, Inc.
  4. Fujitsu Limited
  5. Hitachi, Ltd.
  6. Hewlett Packard Enterprise Company
  7. Huawei Technologies Co., Ltd.
  8. IBM Corporation
  9. Microsoft Corporation
  10. NEC Corporation
  11. Oracle Corporation
  12. PTC Inc.
  13. QlikTech International AB
  14. SAS Institute Inc.
  15. Schneider Electric SE
  16. Software AG
  17. Splunk Inc.
  18. Rolta India Limited
  19. Teradata Corporation
  20. TIBCO Software Inc.
  21. Vitria Technology, Inc.
  22. Yokogawa Electric Corporation

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 LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Proliferation Of IoT Devices Generating Real-Time Data Streams
    • 4.2.2 Rapid Adoption Of Cloud-Based Big-Data Analytics Platforms
    • 4.2.3 Growing Need For Real-Time Operational Visibility In Manufacturing And Logistics
    • 4.2.4 Government-Led 5G Private-Network Roll-Outs In Asia-Pacific Smart Factories
    • 4.2.5 Rising Adoption Of Event-Driven Micro-Services Architecture
    • 4.2.6 Increasing Demand For "Green" OI In Carbon-Compliance Reporting
  • 4.3 Market Restraints
    • 4.3.1 Integration Complexity With Legacy OT Systems
    • 4.3.2 Shortage Of Skilled Data-Engineering And Devops Talent
    • 4.3.3 Escalating Data-Sovereignty Regulations Limiting Cross-Border Streaming
    • 4.3.4 High Latency In Rural Areas Limiting Edge Analytics Quality
  • 4.4 Industry Value Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Porter's Five Forces Analysis
    • 4.7.1 Threat of New Entrants
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Bargaining Power of Suppliers
    • 4.7.4 Threat of Substitute Products
    • 4.7.5 Intensity of Competitive Rivalry
  • 4.8 Impact of Macroeconomic Factors on the Market

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

  • 5.1 By Component
    • 5.1.1 Software
      • 5.1.1.1 Real-time Analytics Platforms
      • 5.1.1.2 Data-visualisation Tools
      • 5.1.1.3 Complex-event-processing Engines
    • 5.1.2 Services
      • 5.1.2.1 Consulting and Advisory
      • 5.1.2.2 Integration and Deployment
      • 5.1.2.3 Support and Maintenance
  • 5.2 By Deployment Type
    • 5.2.1 Cloud
    • 5.2.2 On-Premise
    • 5.2.3 Hybrid
  • 5.3 By Application
    • 5.3.1 Predictive Equipment Maintenance
    • 5.3.2 Security and Surveillance Analytics
    • 5.3.3 Customer-experience Management
    • 5.3.4 Supply-chain and Logistics Optimisation
    • 5.3.5 Energy Management
    • 5.3.6 Fraud Detection and Risk Management
    • 5.3.7 IT Operations Analytics
    • 5.3.8 Other Application
  • 5.4 By End-user Vertical
    • 5.4.1 Retail and E-commerce
    • 5.4.2 Manufacturing
    • 5.4.3 Banking, Financial Services and Insurance (BFSI)
    • 5.4.4 Government and Public Sector
    • 5.4.5 Information Technology and Telecommunications
    • 5.4.6 Defence and Aerospace
    • 5.4.7 Transportation and Logistics
    • 5.4.8 Healthcare and Life Sciences
    • 5.4.9 Energy and Utilities
    • 5.4.10 Other End-user Vertical
  • 5.5 By Country
    • 5.5.1 China
    • 5.5.2 Japan
    • 5.5.3 India
    • 5.5.4 South Korea
    • 5.5.5 Australia and New Zealand
    • 5.5.6 Southeast Asia
    • 5.5.7 Indonesia
    • 5.5.8 Malaysia
    • 5.5.9 Philippines
    • 5.5.10 Singapore
    • 5.5.11 Thailand
    • 5.5.12 Vietnam
    • 5.5.13 Rest of Asia-Pacific

6 COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global-level Overview, Market-level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
    • 6.4.1 Alibaba Cloud Computing Co., Ltd.
    • 6.4.2 Cloudera, Inc.
    • 6.4.3 Databricks, Inc.
    • 6.4.4 Fujitsu Limited
    • 6.4.5 Hitachi, Ltd.
    • 6.4.6 Hewlett Packard Enterprise Company
    • 6.4.7 Huawei Technologies Co., Ltd.
    • 6.4.8 IBM Corporation
    • 6.4.9 Microsoft Corporation
    • 6.4.10 NEC Corporation
    • 6.4.11 Oracle Corporation
    • 6.4.12 PTC Inc.
    • 6.4.13 QlikTech International AB
    • 6.4.14 SAS Institute Inc.
    • 6.4.15 Schneider Electric SE
    • 6.4.16 Software AG
    • 6.4.17 Splunk Inc.
    • 6.4.18 Rolta India Limited
    • 6.4.19 Teradata Corporation
    • 6.4.20 TIBCO Software Inc.
    • 6.4.21 Vitria Technology, Inc.
    • 6.4.22 Yokogawa Electric Corporation

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-need Assessment