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市场调查报告书
商品编码
1685860

亚太地区智慧製造：市场占有率分析、产业趋势与统计、成长预测（2025-2030 年）

Asia-Pacific Smart Manufacturing - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

亚太地区智慧製造市场规模预计在 2025 年为 584.7 亿美元，预计到 2030 年将达到 870.3 亿美元，预测期内（2025-2030 年）的复合年增长率为 8.28%。

亚太智能製造-市场-IMG1

製造业是亚太经济的最大贡献者之一，正在经历快速转型。人口老化，加上欧洲和北美人事费用的上升，意味着基于廉价劳动力的传统模式已不再永续。由于这些因素，越来越多的低端製造企业将业务迁移至东南亚以削减成本。

主要亮点

  • 工业 4.0 是製造业领域的最新革命。工厂将把生产机器、无线连接和感测器整合到一个系统平台生态系统中，该生态系统监督生产线流程并自主执行决策。在智慧製造的帮助下，该地区的製造商可以利用工业物联网 (IIoT)、云端和分析解决方案转变业务并实现更大的价值。
  • 巨量资料分析可以改善复杂流程，除了「按需」等传统经营模式外，还支援大规模客製化和产品即服务（由智慧製造实现）等新商业模式。工业 4.0 实践在各个製造业的兴起为该地区的巨量资料巨量资料创造了更大的空间，因为它使企业能够利用智慧製造并从被动实践转向预测实践。
  • 製造业已成为印度高成长产业之一。 「印度製造」计画使得印度成为全球製造业的中心，印度经济也得到了全世界的认可。为了使「印度製造」计划成功，印度製造商需要提高生产效率并部署创新以保持竞争力。智慧製造解决方案可以提供帮助。製造商可以透过简化供应链、降低成本和提高职场安全性来更专注于提高其竞争地位。同时，机器人、分析和网路安全等解决方案将增强满足品质标准的能力。
  • 此外，日本正迎来自动化工业经济的曙光，并加速推动工业4.0的发展。日本已成为工厂自动化产品的製造地，为亚太地区的其他区域市场提供产品，并降低工厂自动化的成本。来自日本的产品往往运输成本较低，并且在亚太地区拥有强大的售后服务支援网路。
  • 随着「中国製造2025」计画推动製造业回归中国，东南亚国家面临着识别和降低劳工问题风险的压力，工业4.0正在影响该地区的智慧製造业发展。此外，大多数本地企业需要更多地了解工业4.0能为生产力和成长带来的好处。据估计，如果正确采用和实施，工业4.0有可能将生产率提高30-40%。

亚太地区智慧製造市场趋势

石油和天然气预计将占很大份额

  • 石油和天然气终端用户产业是预测性维护最早的先驱之一。这是因为需要降低维护成本，同时透过现在可以轻鬆连接到机器的感测器来降低环境危害的风险。这些感测器可以轻鬆地将资料输入专门开发的预测演算法中，以警告潜在的故障。能源需求的长期成长意味着石油和天然气产业在其整个价值链中面临许多挑战并需要许多新技术。
  • 石油和天然气产业产生大量资料。这些资料大部分由探勘、生产和储存资料日誌组成，包括测井日誌、地震探勘、常规和专业岩心分析、静态和流体压力测量、流体分析、压力瞬态资料和定期功能生产测试。这些因素为供应商提供资料管理和进阶分析工具解决方案创造了绝佳机会。
  • 该地区的供应商提供的解决方案可以使用自然语言处理和电脑视觉等人工智慧技术自动从这些文件中提取资料。对即时分析和资料视觉化的需求正在推动与分析解决方案提供者的合作。随着许多公司策略性地追求石油和天然气价值链（特别是石化产业）的下游扩张，持续向智慧营运转变预计将提供更大的潜力。
  • 亚太地区是继北美和中东之后石油和天然气钻机密度第三大的地区。例如，根据贝克休斯的数据，截至2022年10月，亚太地区共有约86座海上石油钻井平台及120座陆上油气钻井平台，总合206座。
  • 此外，根据英国石油公司（BP）预测，2021年亚太地区的石油产量将达到约734万桶/日，并且在不久的将来还将进一步增加。智慧製造供应商可以利用这个机会来增加收益。

预计中国将占很大份额

  • 中国在亚洲转向智慧应用中发挥着至关重要的作用。中国政府正强化智慧製造布局，进行各类规划、标准体系建置等论证。中国计画在2025年实现40项製造业创新，重点关注领域包括自动化工具机及机器人、高新技术、航太装备、船舶装备、高技术船舶、现代轨道交通装备、新能源汽车及设备、电力设备、农业设备、新材料、生物製药、先进医疗产品等。
  • 中国政府已製定了2030年成为人工智慧强国的蓝图。考虑到人工智慧的发展和广泛应用，政府正致力于将人工智慧技术融入中国的工厂，并在连网汽车、服务机器人、无人机、视讯影像辨识系统、语音对话系统、智慧感测器、神经网路和整合晶片的智慧系统中利用和采用该技术。
  • 中国许多大中型製造企业已经开始利用资料分析来优化工厂运营，提高设备运转率，改善产品质量，同时降低能源消耗和生产成本。现代供应网路管理工具使工厂管理人员能够更清楚地了解透过其製造网路流动的原材料和製造组件，从而可以安排生产作业和产品交付，以降低成本并提高效率。透过积极利用资料探勘技术，工程师和技术人员对机器故障有了新的认识并提高了可靠性。
  • 此外，2022年11月，中国工业和资讯化部宣布核准设立三个新的国家製造业研发中心。此外，这些中心也将聚焦关键共通性技术，加强这些产业的技术研发。商务部也将引导新型製造业创新中心增强技术创新能力，有力支持製造业重点领域高品质发展。
  • 根据中国国家统计局的数据，2021年中国工业机器人产量达36.3万台以上，较2020年成长50%以上。随着中国製造能力的成长，对工业机器人的需求也在成长。

亚太地区智慧製造业概况

亚太地区智慧製造市场高度分散，ABB 有限公司、霍尼韦尔国际公司、西门子股份公司、施耐德电气和罗伯特博世等众多国际公司提供一系列与控制系统、机器人、机器视觉系统和分析相关的解决方案，以提高最终用户行业的製造过程的生产力。该市场中的公司正在寻求各种合作和产品创新以扩大市场占有率。

2022年3月，Honeywell和东方能源有限公司报告称，他们将在中国广东省茂名建设一座年产能为100万吨的永续航空燃料 (SAF) 生产设施。新厂将满足日益增长的航空燃油需求，并促进使用新技术减少航空燃油生产中的温室气体排放，为中国实现2060年实现碳中和的目标做出贡献。

西门子和 NVIDIA 于 2022 年 6 月宣布改变伙伴关係，以实现工业元宇宙并扩大人工智慧主导的数位双胞胎技术的使用。此次伙伴关係也将使两家公司能够连接开放式数位业务平台西门子 Xcelerator 和 3D 设计和协作平台 NVIDIA Omniverse。此次合作将创建一个由西门子基于物理的数位模型和 NVIDIA 的即时 AI 提供支援的工业元宇宙，以帮助组织做出更快、更可靠的决策。

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

  • 市场概况
  • 产业吸引力－波特五力分析
    • 供应商的议价能力
    • 消费者议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争对手之间的竞争强度
  • 新冠肺炎对製造业整体影响及数位化计画支出

第五章 市场动态

  • 市场驱动因素
    • 製造业企业采取的多角化策略
    • 政府推出措施促进製造业成长
  • 市场挑战
    • 缺乏意识、熟练劳动力和实施复杂性
    • 转型需要庞大资金投入

第六章 市场细分

  • 实行技术
    • 工业控制系统
      • 可程式逻辑控制器（PLC）
      • 监控和资料采集 (SCADA)
      • 分散式控制系统（DCS）
      • 人机介面 (HMI)
      • 产品生命週期管理 (PLM)
      • 製造执行系统（MES）
    • 工业机器人
    • 机器视觉系统
    • 云端、分析和平台
    • 网路安全
    • 感应器和变送器
    • 连接/通讯
    • 其他现场、控制和安全解决方案
  • 最终用户产业
    • 车
    • 半导体
    • 石油和天然气
    • 化工和石化
    • 药品
    • 航太和国防
    • 饮食
    • 其他最终用户产业
  • 国家
    • 中国
    • 印度
    • 日本
    • 韩国
    • 其他亚太地区

第七章 竞争格局

  • 公司简介
    • ABB Ltd
    • Honeywell International Inc.
    • Fanuc Corporation
    • Mitsubishi Electric Corporation
    • Emerson Electric Company
    • Rockwell Automation Inc.
    • Schneider Electric SE
    • Robert Bosch GmbH
    • Siemens AG
    • Yokogawa Electric Corporation
    • Cisco Systems Inc.

第八章投资分析

第九章：市场的未来

简介目录
Product Code: 48640

The Asia-Pacific Smart Manufacturing Market size is estimated at USD 58.47 billion in 2025, and is expected to reach USD 87.03 billion by 2030, at a CAGR of 8.28% during the forecast period (2025-2030).

Asia-Pacific Smart Manufacturing - Market - IMG1

Manufacturing is one of the most significant contributors to Asia-Pacific's economy and is undergoing a rapid transformation. As the population ages, along with rising labor costs in Europe and North America, the legacy model based on inexpensive workers is no longer sustainable. Due to such factors, low-end manufacturing firms are increasingly moving their operations to Southeast Asia to cut costs.

Key Highlights

  • Industry 4.0 is the latest revolution in the manufacturing landscape. Factories integrate production machines, wireless connectivity, and sensors and link them to a system platform ecosystem that oversees the production line process and executes decisions autonomously. With the help of smart manufacturing, regional manufacturers can transform businesses and achieve significant value by leveraging the Industrial Internet of Things (IIoT), cloud, and analytics solutions.
  • Big data analytics can refine complicated processes and support new business models, like mass customization and product-as-a-service (which can be made possible by smart manufacturing), apart from the traditional operational models like "on-demand." As big data analytics allows an enterprise to use smart manufacturing to shift from reactionary practices to predictive ones, The increase in industrial 4.0 practices across various manufacturing industries provides more scope for accepting big data analytics in the region.
  • Manufacturing has emerged as one of the high-growth sectors in India. The "Make in India" program places India on the world map as a manufacturing hub and provides global recognition to the Indian economy. In order to succeed in the "Make in India" program, manufacturers in India need to manufacture more efficiently and deploy innovation to stay competitive. Smart manufacturing solutions can help with that. Manufacturers can focus more on enhancing competitiveness by streamlining supply chains, reducing costs, and improving safety in the workplace. Simultaneously, solutions like robotics, analytics, and cybersecurity strengthen their ability to meet quality norms.
  • Further, the automated industrial economy has opened in Japan, and the development of Industrial Version 4.0 is speeding up. Japan has become a manufacturing hub for factory automation products, supplying them to other regional markets in the Asia-Pacific region and making factory automation more affordable. Products from Japan are prone to lower shipment costs and have better after-sales support networks in the region.
  • With the Made in China 2025 initiative allowing the relocation of manufacturing back to China, Southeast Asian countries are under pressure to ascertain and minimize the risk of labor issues, and Industry 4.0 is currently impacting smart manufacturing development in the region. Moreover, most regional companies need to become more familiar with the benefits of Industry 4.0 on productivity and growth. It is estimated that if adopted and implemented correctly, Industry 4.0 has the potential to increase productivity by 30-40%.

APAC Smart Manufacturing Market Trends

Oil and Gas is Expected to Hold Significant Share

  • The oil and gas end-user industry is one of the earliest pioneers of predictive maintenance due to the need to lower the cost of maintenance while mitigating the risks of environmental disasters due to sensors that can now be easily installed into and onto machinery. These sensors can easily feed the data into specially developed predictive algorithms that warn them about potential failures. Long-term growth in the need for energy means that the oil and gas industry faces many problems along its entire value chain and needs a lot of new technology.
  • A lot of data is being generated in the oil and gas sector. A large part of this data consists of exploration, production, and reservoir data logs, such as well logs, seismic surveys, conventional and special core analyses, static and flowing pressure measurements, fluid analyses, pressure-transient tests, and periodic functional production tests, among others. Due to such factors, an enormous opportunity has been created for the vendors to offer a solution for data management and advanced analytical tools.
  • Vendors in the region have been offering solutions that allow companies to use AI technologies, such as natural language processing and computer vision, to extract data from these documents automatically. Such demands for real-time analysis and data visualization have driven partnerships with analytics solution providers. The ongoing shift to becoming smart is expected to present even more significant potential, given the strategic push by many companies to expand their downstream operations in the oil and gas value chain, especially petrochemicals.
  • Asia Pacific is third in terms of the region with the most oil and gas rigs after North America and the Middle East. For instance, according to Baker Hughes, there are around 86 offshore and 120 onshore oil and gas rigs, making a total of 206 in the cording to Baker Hughes, there are around 86 offshore and 120 onshore oil and gas rigs, making a total of 206 in the Asia-Pacific region as of October 2022.
  • Moreover, according to British Petroleum (BP), the oil production in Asia-Pacific amounted to roughly 7.34 million barrels per day in 2021 and is expected to increase more in the near future. The vendor of smart manufacturing can take advantage of this opportunity to increase their revenue.

China is Expected to Hold Major Share

  • China is an integral part of Asia's growing shift to intelligent applications. The Chinese government has strengthened the design of smart manufacturing by implementing various schemes and demonstrations in developing standard systems. China aims to create 40 manufacturing innovations by 2025. The focus areas include automated machine tools and robotics, new advanced information technology, aerospace and aeronautical equipment, marine equipment, high-tech shipping, modern rail transport equipment, new-energy vehicles and equipment, power equipment, agricultural equipment, new materials, and biopharma and advanced medical products.
  • The Chinese government has built a roadmap to become the leading AI superpower by 2030. Considering AI development and proliferation, the government focuses on integrating AI technology in China's factories to harness and adopt the techniques of integrated intelligent systems, which possess networked vehicles, service robots, drones, video image identification systems, voice interaction systems, smart sensors, neural networks, and chips.
  • Many medium and large manufacturers in China are initiating the use of data analytics to optimize factory operations, boost equipment utilization and product quality, and simultaneously reduce energy consumption and production costs. With the latest supply-network management tools, factory operational managers have a clearer view of raw materials and manufactured parts flowing through a manufacturing network that can help them schedule manufacturing operations and product deliveries to reduce costs and improve efficiency. With the active use of data mining technology, engineers and technicians are acquiring new insight into machine failure to enhance reliability.
  • Moreover, in November 2022, China's Ministry of Industry and Information Technology announced that it had approved the establishment of three new national manufacturing innovation centers. In addition, they said that these centers would concentrate on key generic technologies and enhance technological research and development in these industries. Furthermore, the ministry said it would guide the new manufacturing innovation centers to strengthen their capabilities to seek technological innovation to deliver strong support for the high-quality development of primary fields in manufacturing.
  • According to the National Bureau of Statistics of China, industrial robots' production volume amounted to over 363,000 units in China in 2021, an increase of more than 50% compared to 2020. As China's production capability grows, the demand for industrial robots also increases.

APAC Smart Manufacturing Industry Overview

The Asia-Pacific Smart Manufacturing Market is quite fragmented, as there are numerous international companies such as ABB Ltd., Honeywell International Inc., Siemens AG, Schneider Electric, and Robert Bosch offering various solutions related to control systems, robotics, machine vision systems, and analytics to enhance the productivity of manufacturing processes across the end-user verticals. The companies in the market are undergoing various partnerships and product innovations to increase their market share.

In March 2022, Honeywell and Oriental Energy Company Ltd. reported that a sustainable aviation fuel (SAF) production facility would be built in Maoming, Guangdong Province, in China, with an annual output capacity of 1 million tons. The new building will help meet the growing demand for SAF, make it easier to reduce greenhouse gas emissions in the production of aviation fuel through the use of new technologies, and help China reach its goal of being carbon neutral by 2060.

Siemens and NVIDIA announced in June 2022 that they would change their partnership to make the industrial metaverse possible and increase the use of AI-driven digital twin technology, which will help take industrial automation to a new level. This partnership also lets them connect Siemens Xcelerator, an open digital business platform, and NVIDIA Omniverse, a platform for 3D design and collaboration. This will create an industrial metaverse with physics-based digital models from Siemens and real-time AI from NVIDIA, which will help organizations make decisions faster and with more confidence.

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 INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Consumers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Threat of Substitute Products
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Impact of COVID-19 on the Overall Manufacturing Industry and Their Spending on Digital Initiatives

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Diversification Strategies being Adopted by the Manufacturing Companies
    • 5.1.2 Initiatives Undertaken by the Government to Increase Growth in Manufacturing Sector
  • 5.2 Market Challenges
    • 5.2.1 Lack of Awareness, Skilled Workforce and Complexity in Implementation
    • 5.2.2 Huge Capital Investments for Transformations

6 MARKET SEGMENTATION

  • 6.1 Enabling Technologies
    • 6.1.1 Industrial Control Systems
      • 6.1.1.1 Programmable Logic Controller (PLC)
      • 6.1.1.2 Supervisory Controller and Data Acquisition (SCADA)
      • 6.1.1.3 Distributed Control System (DCS)
      • 6.1.1.4 Human Machine Interface (HMI)
      • 6.1.1.5 Product Lifecycle Management (PLM)
      • 6.1.1.6 Manufacturing Execution System (MES)
    • 6.1.2 Industrial Robotics
    • 6.1.3 Machine Vision Systems
    • 6.1.4 Cloud, Analytics and Platforms
    • 6.1.5 Cybersecurity
    • 6.1.6 Sensors & Transmitters
    • 6.1.7 Connectivity/Communication
    • 6.1.8 Other Field, Control and Safety Solutions
  • 6.2 End-user Industry
    • 6.2.1 Automotive
    • 6.2.2 Semiconductor
    • 6.2.3 Oil and Gas
    • 6.2.4 Chemical and Petrochemical
    • 6.2.5 Pharmaceutical
    • 6.2.6 Aerospace and Defense
    • 6.2.7 Food and Beverages
    • 6.2.8 Other End-user Industries
  • 6.3 Country
    • 6.3.1 China
    • 6.3.2 India
    • 6.3.3 Japan
    • 6.3.4 South Korea
    • 6.3.5 Rest of Asia-Pacific

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 ABB Ltd
    • 7.1.2 Honeywell International Inc.
    • 7.1.3 Fanuc Corporation
    • 7.1.4 Mitsubishi Electric Corporation
    • 7.1.5 Emerson Electric Company
    • 7.1.6 Rockwell Automation Inc.
    • 7.1.7 Schneider Electric SE
    • 7.1.8 Robert Bosch GmbH
    • 7.1.9 Siemens AG
    • 7.1.10 Yokogawa Electric Corporation
    • 7.1.11 Cisco Systems Inc.

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET