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市场调查报告书
商品编码
1639495

亚太营运智慧：市场占有率分析、产业趋势与成长预测（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个工作天内

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简介目录

2025年亚太地区营运智慧市场规模预估为89.6亿美元，预估至2030年将达146.9亿美元，预测期间（2025-2030年）复合年增长率为10.38%。

亚太运营情报-市场-IMG1

营运智慧 (OI) 是 IT 部门使用的一种技术，可以提高对底层业务事件的可见度并发现大量跨组织见解。该技术利用即时资料运作。

主要亮点

  • 由于该技术的可用性，亚太地区的营运智慧市场预计将快速成长。营运智慧帮助您提高业务效率。营运智慧为组织提供有关其供应链中关键驱动因素的情报，并帮助他们从中获得最大利益。将即时分析、警报和操作的优势应用于企业内部和外部的广泛使用案例。它将即时资料和事件与历史资料关联起来，让企业能够即时查看资讯。让资讯触手可及，帮助企业做出更明智的决策并实现利润最大化。
  • 2023年10月，总部位于越南的全球科技公司FPT与电脑视觉平台和人工智慧（AI）软体公司Landing AI宣布建立策略合作关係，以推进AI应用和教育。
  • 营运智慧是提高业务效率的关键槓桿之一。营运智能为组织提供整个价值链中关键驱动因素的可行见解。营运智慧将完整的资讯放在您的手中，使您能够及时做出更明智的决策，以最大限度地发挥影响力。 OI 将来自串流媒体和历史资料孤岛的不同事件和资料关联起来，使组织能够提供高级仪表板、对业务绩效、健康和状态的即时洞察，以及基于业务策略和流程的即时可操作洞察。您可视化资讯根据具体情况，即时了解情况，以便您采取行动。
  • 营运智慧将即时分析、警报和行动的优势应用于企业内部和外部的使用案例。透过基于网路的技术收集、共用、分析和应用营运情报的能力为各级商业组织的决策者提供了更好的方式来充分利用他们的资源。 OI 会准确地告诉您与业务相关的确切区域或地理位置上正在发生的事情。
  • 营运智慧是商业情报和管理资讯系统的革命性技术飞跃。这是因为使经营团队能够及时应对业务变化和市场波动可以最大限度地减少不确定的业务程序和市场中断造成的不利影响。
  • COVID-19 的蔓延加速了营运智慧技术的采用。对于企业来说，利用数位技术解决方案来提高偏远地区的业务效率至关重要。
  • 由于新冠疫情导致经济需求遭受重创，亚太能源产业正在加速采用第四次工业革命的数位工具箱，以提高业务效率。此外，国际能源总署（IEA）预计，随着疫情衝击能源产业，全球能源投资预计将较前几年下降20%，降幅超过4,000亿美元。此外，俄罗斯和乌克兰之间的战争正在影响整个包装生态系统。

亚太地区营运智慧市场趋势

即时资料分析需求的不断增长预计将推动市场

  • 即时巨量资料分析是一场巨量资料革命。巨量资料分析在建立原始檔案后转换资料库，而即时巨量资料数据分析则在建立原始檔案时会转换。换句话说，模糊的原始资料在创建后几毫秒内就会转换为有用的资料。答案会及时给出。
  • 企业因决策和业务延迟而遭受损失。即时分析透过让企业领导者能够根据快速、可操作的资料洞察做出决策来克服这一问题。这意味着企业可以避免代价高昂的延误，抓住机会，并预测问题。
  • 几乎任何企业（甚至个人）都可以使用即时资料分析来实现各种目的。即时资料分析是经营企业和维持财务团队全速运作的必要条件。财务团队将即时数据用于各种目的，包括确定日常业务的运作（识别资料）、实施流程改进（分析 KPI）以及监控公司的财务状况（彙报）。
  • SAP HANA 在单一资料库中结合了强大的资料处理、应用服务和灵活的资料整合功能。 HANA 使用记忆体内资料库软体，允许使用者查询储存在系统记忆体（RAM）中而不是实体磁碟机上的资料。客户可以以多种方式更快地处理资料，并创建一系列假设情境以利用机会或避免陷阱。 IBM 和Oracle等老牌技术供应商也正在利用新技术实现其平台上的即时操作。
  • 儘管在处理大量资料时非常谨慎，但即时资料分析仍存在一些缺点。即时资料分析需要存取大量资料来管理和快速回应请求。换句话说，即时巨量资料分析必须回应市场和业务因素才能做出有效、有效率的即时决策。

巨量资料分析和物联网 (IoT) 的日益普及预计将推动市场发展

  • 最终用户对巨量资料分析和物联网 (IoT) 的采用将推动市场发展。在过去十年中，由于巨量资料的兴起以及快速做出关键业务决策的需求日益增加，营运智慧 (OI) 和分析解决方案已经获得了显着的市场占有率。根据 IBM 调查，62% 的商家认为使用资料（巨量资料和分析）将为他们的业务带来竞争优势。相较之下，所有产业的回应比例为 63%。
  • 此外，物联网 (IoT) 是数位连接向我们的家庭、职场、汽车以及几乎所有地方的设备和感测器的延伸。由于这项突破，几乎任何设备现在都可以收集和通讯有关其活动的资料，这些数据可以透过分析来协助监控和各种自动化功能。物联网需要操作智慧（OI）来完成这些任务。例如，PTC Inc. 正在利用 IIoT 提供的营运效率洞察来评估即时生产效能并预见问题的发生。
  • 疫情期间，医疗、製造业、零售业等产业的数位转型导致资料产生增加。製造业的自动化由工业IoT和人工智慧（AI）推动。库存管理、资产管理、预测性维护、即时警报和互联製造等技术正在实施，以帮助製造商即使在不确定的商业条件下也能蓬勃发展。
  • 根据 GSMA 预测，2020 年至 2030 年间，全球物联网 (IoT) 连线数量将会成长，到 2030 年企业物联网连线总合将达到 240 亿。亚太地区位居榜首，预计到 2030 年连接数将达到 182 亿。

亚太地区营运智慧产业概况

亚太地区营运智慧市场分散且竞争激烈，大大小小的供应商都提供业务视觉性和洞察力，使企业能够做出资料主导的决策。主要参与者包括维多利亚科技和Splunk。

  • 2023 年 8 月 - Open Text 宣布与 Google Cloud 合作，提供由 AI 驱动的整合功能，帮助公司释放 Google Cloud 上资料的力量，从而获得竞争优势。 Open Text 资讯管理解决方案与 Google Cloud 的 AI 功能的联合创新可加速获得洞察、提高生产力并转变各种规模组织的客户体验。
  • 2022 年 12 月-Accenture收购顾问和客户洞察公司 Fiftyfive5。此次收购将使Accenture Song（原为Accenture Interactive）能够更有效地帮助澳洲和纽西兰的客户利用资料洞察和绩效行销来推动成长和创新。收购Fiftyfive5旨在增强Accenture在澳洲和纽西兰的客户智慧能力。 FiftyFive5 成立于 2010 年，专注于机会识别、品牌策略和定位、创新、品类策略（通路、购物者、零售、忠诚度）、定价、CX 和体验测量以及品牌传播追踪。
  • 2022 年 5 月 - 总部位于怀俄明州、在南佛罗里达州设有办事处的 PreIPO Corporation 签署协议，收购 TABS Suite Pte 的资产和智慧财产权。该新加坡公司由 Kabra 家族办公室创立，其专有的「Diligence-as-a-ServiceTM」技术将作为 PreIPO 营运平台的关键组成部分。

其他福利：

  • Excel 格式的市场预测 (ME) 表
  • 3 个月的分析师支持

目录

第 1 章 简介

  • 研究假设和市场定义
  • 研究范围

第二章调查方法

第三章执行摘要

第四章 市场洞察

  • 产业吸引力－波特五力分析
    • 新进入者的威胁
    • 买家的议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 竞争对手之间的竞争

第五章 市场动态

  • 市场驱动因素
    • 对即时资料分析的需求日益增加
    • 巨量资料分析和物联网 (IoT) 的采用日益广泛
  • 市场限制
    • 合併来自多个资料来源的资料

第六章 市场细分

  • 依部署类型
    • 云
    • 本地
  • 按最终用户产业
    • 零售
    • 製造业
    • BFSI
    • 政府
    • 资讯科技/通讯
    • 军事和国防
    • 运输和物流
    • 卫生保健
    • 能源和电力

第七章 竞争格局

  • 公司简介
    • 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

第八章投资分析

第九章 市场机会与未来趋势

简介目录
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