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市場調查報告書
商品編碼
2007944
智慧工廠自動化市場預測至2034年—按組件、部署類型、企業規模、技術、應用和地區分類的全球分析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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根據 Stratistics MRC 的數據,預計到 2026 年,全球智慧工廠自動化市場規模將達到 16 億美元,並在預測期內以 9.4% 的複合年成長率成長,到 2034 年將達到 32 億美元。
智慧工廠自動化利用人工智慧、機器學習、機器人和工業物聯網等最尖端科技來提升製造營運效率。它能夠實現持續的數據追蹤、預測設備故障,並賦予系統自主決策能力,從而提高生產力和效率。這些智慧解決方案能夠適應不斷變化的生產需求,減少停機時間,並最大限度地減少人為干預。它們透過提高透明度和協調流程來最佳化工廠的整體工作流程。隨著數位化進程的推進,這種自動化對於降低成本、加速成長以及在當今先進的工業環境中保持強大的競爭優勢至關重要。
根據國際機器人聯合會(IFR)和其他權威產業組織的報告,在機器人應用、數位化和工業4.0計劃的推動下,智慧工廠自動化及其母市場正經歷快速成長。 IFR報告指出,2022年全球工業機器人部署量達到55.3萬台,其中亞洲佔74%的需求,凸顯了自動化在製造業轉型中所扮演的核心角色。
提高業務效率的需求日益成長
對提升營運效率日益成長的關注是智慧工廠自動化市場的主要驅動力。企業的目標是在不增加成本的前提下,改善生產方法、最大限度地減少浪費並提高產品品質。自動化工具能夠實現持續監控、流程最佳化和精準的營運控制,從而提高生產效率並減少延誤。先進的系統能夠偵測低效環節並提出糾正措施,從而支援精實生產。在全球競爭日益激烈的背景下,企業正積極採用自動化技術來提升自身績效、快速回應市場需求並維持盈利。
與舊有系統整合的複雜性
將新型自動化技術與傳統系統整合的難度是智慧工廠自動化市場面臨的主要障礙。許多製造工廠運作難以與最新解決方案相容的傳統基礎設施。升級或更換這些系統涉及複雜的流程、高昂的成本和大量的時間投入。此外,熟練的專家團隊對於平穩過渡至關重要。相容性問題可能會中斷生產並增加營運風險。由於這些挑戰,企業往往對採用先進的自動化技術猶豫不決,因為他們必須在嘗試升級系統的同時維持現有運營,這限制了市場成長。
智慧工廠的需求日益成長
人們對智慧工廠日益成長的興趣為智慧工廠自動化帶來了巨大的機會。企業正努力建立互聯互通的自動化生產系統,以快速適應不斷變化的需求。透過利用即時資訊、感測器和智慧技術,這些工廠可以提高營運效率並最大限度地減少停機時間。它們還支持靈活生產和保持產品品質的穩定性。隨著企業努力提高敏捷性並規避競爭,對智慧製造基礎設施的投資也不斷增加。對智慧工廠日益成長的關注進一步推動了自動化解決方案在各個工業領域的應用。
經濟不確定性和市場波動
經濟情勢不穩定和市場波動為智慧工廠自動化市場帶來了嚴峻挑戰。經濟景氣衰退、通貨膨脹和地緣政治問題等事件都可能減少工業投資。在這種情況下,企業往往會減少或延遲自動化計劃的支出。資本投資的下降會影響對自動化技術的需求。供應鏈問題和原料成本波動進一步加劇了市場成長的困難。隨著企業支出更加謹慎,自動化解決方案的採用率可能會下降,從而阻礙市場的持續擴張。
新冠疫情對智慧工廠自動化市場的影響促使自動化應用快速成長。供應鏈中斷、勞動力短缺和安全措施迫使製造商放棄人工作業流程。因此,為了防止生產中斷,企業加大了對機器人、人工智慧和物聯網系統等技術的投資。儘管在疫情初期投資和計劃實施有所放緩,但隨著時間的推移,整個市場逐漸恢復了成長勢頭。此次危機凸顯了靈活且具韌性的製造系統的重要性,並促使企業採用智慧自動化來有效應對未來的不確定性。
在預測期內,本地部署部分預計將佔據最大佔有率。
由於本地部署方案能夠增強資料保護的可管理性、系統柔軟性和運作穩定性,預計在預測期內,本地部署方案將佔據最大的市場佔有率。製造商通常選擇這種模式,以便在內部管理敏感的生產資訊和關鍵流程,而無需依賴第三方網路。本地部署解決方案具有低延遲、與現有基礎設施良好相容以及為關鍵操作提供可靠性能等優勢。此外,在監管標準嚴格的行業中,本地部署系統是確保合規性和資料管理的首選。儘管雲端解決方案不斷普及,但這些優勢仍然使本地部署解決方案成為現代製造環境中的主要部署模式。
在預測期內,人工智慧(AI)領域預計將呈現最高的複合年成長率。
在預測期內,人工智慧 (AI) 領域預計將呈現最高的成長率,這主要歸功於其對製造效率的顯著提升。 AI 透過支援預測性維護、即時決策、進階品質檢測和營運效率,幫助企業提高績效並降低成本。 AI 透過處理大量數據,提供寶貴的洞察,從而提高生產效率並減少設備停機時間。隨著各行業向更智慧的生產系統轉型,對基於 AI 的自動化需求正在迅速成長。隨著機器學習技術的持續發展進一步推動其應用,AI 正成為工業自動化領域的主要成長引擎。
在預測期內,亞太地區預計將佔據最大的市場佔有率,這主要得益於其強大的產業部門、快速的工業成長以及尖端技術的廣泛應用。該地區各國正積極投資建造智慧工廠,以提高效率並維持全球競爭優勢。製造業的強大實力,尤其是在汽車和電子領域,以及有利的政府政策,都為市場擴張提供了支持。對提高生產力和降低成本的日益重視,也進一步推動了自動化技術的應用。
在預測期內,亞太地區預計將呈現最高的複合年成長率,這主要得益於強勁的工業擴張和對先進製造技術投資的增加。在開發中國家,生產設備正在升級改造,以提高效率和生產力。政府對數位化和工業4.0的支持正在推動相關技術的應用。汽車和電子等關鍵產業的成長也增加了對自動化系統的需求。此外,持續的技術進步和不斷成長的外國投資正在推動市場擴張,使亞太地區成為智慧工廠自動化領域成長最快的地區。
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.