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市场调查报告书
商品编码
2007944
智慧工厂自动化市场预测至2034年—按组件、部署类型、企业规模、技术、应用和地区分類的全球分析Intelligent Factory Automation Market Forecasts to 2034 - Global Analysis By Component (Hardware, Software and Services), Deployment Mode, Enterprise Size, Technology, Application and By Geography |
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根据 Stratistics MRC 的数据,预计到 2026 年,全球智慧工厂自动化市场规模将达到 16 亿美元,并在预测期内以 9.4% 的复合年增长率成长,到 2034 年将达到 32 亿美元。
智慧工厂自动化利用人工智慧、机器学习、机器人和工业物联网等最尖端科技来提升製造营运效率。它能够实现持续的数据追踪、预测设备故障,并赋予系统自主决策能力,从而提高生产力和效率。这些智慧解决方案能够适应不断变化的生产需求,减少停机时间,并最大限度地减少人为干预。它们透过提高透明度和协调流程来优化工厂的整体工作流程。随着数位化进程的推进,这种自动化对于降低成本、加速成长以及在当今先进的工业环境中保持强大的竞争优势至关重要。
根据国际机器人联合会(IFR)和其他权威产业组织的报告,在机器人应用、数位化和工业4.0倡议的推动下,智慧工厂自动化及其母市场正经历快速成长。 IFR报告指出,2022年全球工业机器人部署量达到55.3万台,其中亚洲占74%的需求,凸显了自动化在製造业转型中所扮演的核心角色。
提高业务效率的需求日益增长
对提升营运效率日益增长的关注是智慧工厂自动化市场的主要驱动力。企业的目标是在不增加成本的前提下,改善生产方法、最大限度地减少浪费并提高产品品质。自动化工具能够实现持续监控、流程最佳化和精准的营运控制,从而提高生产效率并减少延误。先进的系统能够侦测低效环节并提出纠正措施,从而支援精实生产。在全球竞争日益激烈的背景下,企业正积极采用自动化技术来提升自身绩效、快速回应市场需求并维持盈利。
与旧有系统整合的复杂性
将新型自动化技术与传统系统整合的难度是智慧工厂自动化市场面临的主要障碍。许多製造工厂运作难以与最新解决方案相容的传统基础设施。升级或更换这些系统涉及复杂的流程、高昂的成本和大量的时间投入。此外,熟练的专家团队对于平稳过渡至关重要。相容性问题可能会中断生产并增加营运风险。由于这些挑战,企业往往对采用先进的自动化技术犹豫不决,因为他们必须在尝试升级系统的同时维持现有运营,这限制了市场成长。
智慧工厂的需求日益增长
人们对智慧工厂日益增长的兴趣为智慧工厂自动化带来了巨大的机会。企业正努力建立互联互通的自动化生产系统,以快速适应不断变化的需求。透过利用即时资讯、感测器和智慧技术,这些工厂可以提高营运效率并最大限度地减少停机时间。它们还支持灵活生产和保持产品品质的稳定性。随着企业努力提高敏捷性并规避竞争,对智慧製造基础设施的投资也不断增加。对智慧工厂日益增长的关注进一步推动了自动化解决方案在各个工业领域的应用。
经济不确定性和市场波动
经济情势不稳定和市场波动为智慧工厂自动化市场带来了严峻挑战。经济景气衰退、通货膨胀和地缘政治问题等事件都可能减少工业投资。在这种情况下,企业往往会减少或延迟自动化计划的支出。资本投资的下降会影响对自动化技术的需求。供应链问题和原材料成本波动进一步加剧了市场成长的困难。随着企业支出更加谨慎,自动化解决方案的采用率可能会下降,从而阻碍市场的持续扩张。
新冠疫情对智慧工厂自动化市场的影响促使自动化应用快速成长。供应链中断、劳动力短缺和安全措施迫使製造商放弃人工作业流程。因此,为了防止生产中断,企业加大了对机器人、人工智慧和物联网系统等技术的投资。儘管在疫情初期投资和计划实施有所放缓,但随着时间的推移,整个市场逐渐恢復了成长势头。此次危机凸显了灵活且具韧性的製造系统的重要性,并促使企业采用智慧自动化来有效应对未来的不确定性。
在预测期内,本地部署部分预计将占据最大份额。
由于本地部署方案能够增强资料保护的可管理性、系统柔软性和运作稳定性,预计在预测期内,本地部署方案将占据最大的市场份额。製造商通常选择这种模式,以便在内部管理敏感的生产资讯和关键流程,而无需依赖第三方网路。本地部署解决方案具有低延迟、与现有基础设施良好相容以及为关键操作提供可靠性能等优势。此外,在监管标准严格的行业中,本地部署系统是确保合规性和资料管理的首选。儘管云端解决方案不断普及,但这些优势仍然使本地部署解决方案成为现代製造环境中的主要部署模式。
在预测期内,人工智慧(AI)领域预计将呈现最高的复合年增长率。
在预测期内,人工智慧 (AI) 领域预计将呈现最高的成长率,这主要归功于其对製造效率的显着提升。 AI 透过支援预测性维护、即时决策、进阶品质检测和营运效率,帮助企业提高绩效并降低成本。 AI 透过处理大量数据,提供宝贵的洞察,从而提高生产效率并减少设备停机时间。随着各行业向更智慧的生产系统转型,对基于 AI 的自动化需求正在迅速成长。随着机器学习技术的持续发展进一步推动其应用,AI 正成为工业自动化领域的主要成长引擎。
在预测期内,亚太地区预计将占据最大的市场份额,这主要得益于其强大的产业部门、快速的工业成长以及尖端技术的广泛应用。该地区各国正积极投资建造智慧工厂,以提高效率并维持全球竞争优势。製造业的强大实力,尤其是在汽车和电子领域,以及有利的政府政策,都为市场扩张提供了支持。对提高生产力和降低成本的日益重视,也进一步推动了自动化技术的应用。
在预测期内,亚太地区预计将呈现最高的复合年增长率,这主要得益于强劲的工业扩张和对先进製造技术投资的增加。在开发中国家,生产设备正在升级改造,以提高效率和生产力。政府对数位化和工业4.0的支持正在推动相关技术的应用。汽车和电子等关键产业的成长也增加了对自动化系统的需求。此外,持续的技术进步和不断增长的外国投资正在推动市场扩张,使亚太地区成为智慧工厂自动化领域成长最快的地区。
According to Stratistics MRC, the Global Intelligent Factory Automation Market is accounted for $1.6 billion in 2026 and is expected to reach $3.2 billion by 2034 growing at a CAGR of 9.4% during the forecast period. Intelligent factory automation involves using cutting-edge technologies like AI, machine learning, robotics, and IIoT to enhance manufacturing operations. It supports continuous data tracking, anticipates equipment failures, and allows systems to make independent decisions, boosting productivity and efficiency. These smart solutions adjust to shifting production needs, lower downtime, and limit manual involvement. By improving transparency and coordinating processes, they optimize overall workflow within factories. With increasing digital adoption, such automation is essential for reducing costs, enabling growth, and maintaining a strong competitive position in today's advanced industrial landscape.
According to the International Federation of Robotics (IFR) and other reputed industry bodies, Intelligent Factory Automation and its parent market are experiencing rapid growth driven by robotics adoption, digitalization, and Industry 4.0 initiatives. IFR reported that global industrial robot installations reached 553,000 units in 2022, with Asia accounting for 74% of demand, underscoring automation's central role in manufacturing transformation.
Rising demand for operational efficiency
The increasing focus on improving operational efficiency significantly drives the intelligent factory automation market. Companies aim to refine production methods, minimize waste, and enhance product quality without increasing costs. Automation tools facilitate continuous monitoring, smoother processes, and accurate operational control, boosting productivity while reducing delays. Advanced systems detect inefficiencies and recommend corrective actions, supporting lean manufacturing practices. With rising global competition, businesses are adopting automation to strengthen performance, respond faster to market demands, and maintain profitability.
Integration complexity with legacy systems
The difficulty of integrating new automation technologies with older systems is a major barrier in the intelligent factory automation market. Many manufacturing facilities operate on legacy infrastructure that does not easily align with modern solutions. Updating or replacing these systems involves complex processes, high costs, and significant time investment. It also demands skilled professionals to manage the transition smoothly. Compatibility issues may disrupt production and increase operational risks. Due to these challenges, companies often hesitate to adopt advanced automation, as they must maintain current operations while attempting system upgrades, limiting market growth.
Increasing demand for smart factories
The growing interest in smart factories is generating significant opportunities for intelligent factory automation. Businesses are aiming to establish connected and automated production systems that can adapt rapidly to changing demands. By leveraging real-time information, sensors, and smart technologies, these factories enhance operational efficiency and minimize disruptions. They also support flexible production and consistent quality. As companies seek to improve agility and remain competitive, spending on smart manufacturing infrastructure is rising. This increasing focus on smart factories is encouraging broader adoption of automation solutions in diverse industrial segments.
Economic uncertainty and market volatility
Unstable economic conditions and market fluctuations pose serious challenges to the intelligent factory automation market. Events like economic downturns, inflation, and geopolitical issues can reduce industrial investments. In such situations, companies tend to cut or postpone spending on automation projects. This decline in capital expenditure affects the demand for automation technologies. Supply chain issues and changing material costs further complicate growth. As organizations adopt a cautious approach to spending, the adoption rate of automation solutions may decrease, creating obstacles for sustained market expansion.
The impact of COVID-19 on the intelligent factory automation market led to a rapid increase in automation adoption. Supply chain interruptions, workforce limitations, and safety measures pushed manufacturers to shift away from manual operations. As a result, investments in technologies such as robotics, artificial intelligence, and IoT systems grew to support uninterrupted production. Although early stages of the pandemic slowed down investments and project implementation, the overall market gained momentum over time. The crisis emphasized the need for flexible and resilient manufacturing systems, encouraging companies to adopt intelligent automation to handle future uncertainties effectively.
The on-premises segment is expected to be the largest during the forecast period
The on-premises segment is expected to account for the largest market share during the forecast period because it provides greater control over data protection, system flexibility, and operational stability. Manufacturers often choose this model to manage confidential production information and key processes internally without depending on third-party networks. It offers minimal latency, smooth compatibility with existing infrastructure, and reliable performance in critical operations. Furthermore, sectors with stringent regulatory standards prefer on-premises systems to ensure compliance and data control. These advantages make it the leading deployment type, even as cloud-based solutions continue to gain traction in modern manufacturing environments.
The artificial intelligence (AI) segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the artificial intelligence (AI) segment is predicted to witness the highest growth rate because of its powerful impact on manufacturing efficiency. It supports predictive maintenance, instant decision-making, advanced quality inspection, and streamlined operations, allowing companies to improve performance and lower costs. By processing vast amounts of data, AI delivers valuable insights that enhance productivity and reduce equipment downtime. As industries move toward smarter production systems, the need for AI-based automation is increasing rapidly. Ongoing developments in machine learning technologies are further boosting its adoption, positioning AI as a major growth engine in industrial automation.
During the forecast period, the Asia Pacific region is expected to hold the largest market share owing to its robust industrial sector, fast-paced industrial growth, and widespread use of modern technologies. Nations in this region are actively investing in smart factory developments to boost efficiency and maintain competitive advantages globally. The strong presence of manufacturing industries, particularly in automotive and electronics, along with favourable government initiatives, supports market expansion. Increasing emphasis on productivity improvement and cost reduction is further promoting automation adoption.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by strong industrial expansion and rising investments in advanced manufacturing technologies. Developing countries are upgrading their production facilities to enhance efficiency and output. Supportive government programs promoting digitalization and Industry 4.0 are boosting adoption. The growth of key industries like automotive and electronics is also increasing demand for automation systems. Furthermore, ongoing technological progress and higher levels of foreign investment are fuelling market expansion, positioning Asia-Pacific as the fastest-growing region in intelligent factory automation.
Key players in the market
Some of the key players in Intelligent Factory Automation Market include ABB Ltd, Emerson Electric Co., Honeywell International Inc., Rockwell Automation, Schneider Electric, Siemens AG, Omron Corporation, Yaskawa Electric Corporation, Murata Machinery, Ltd., Pilz GmbH & Co. KG, Dassault Systemes, General Electric Company, Johnson Controls International, Mitsubishi Electric Corporation, Robert Bosch GmbH, FANUC, 3D Systems and Yokogawa Electric Corporation.
In November 2025, Schneider Electric announced a two-phase supply capacity agreement (SCA) totaling $1.9 billion in sales. The milestone deal includes prefabricated power modules and the first North American deployment of chillers. The announcement was unveiled at Schneider Electric'sInnovation Summit North America in Las Vegas, convening more than 2,500 business leaders and market innovators to accelerate practical solutions for a more resilient, affordable and intelligent energy future.
In November 2025, Rockwell Automation and SLB announced that, following a strategic review, both companies have agreed to pursue an orderly dissolution of their Sensia joint venture. Under the agreement, Rockwell Automation will assume one hundred percent ownership of the Process Automation Business that it contributed to the joint venture, while SLB will fully regain ownership of its contributed assets, including Lift Control and Measurements.
In July 2025, Johnson Controls wins up to $630M contract for building automation systems from US Army Corps of Engineers. The three-year base contract award will result in the installation, maintenance and service of Johnson Controls' Metasys building automation systems to provide HVAC, fire and utility monitoring.
Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.