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市场调查报告书
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1934755
东南亚工业与服务机器人:市场占有率分析、产业趋势与统计、成长预测(2026-2031)Southeast Asia Industrial And Service Robot - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026 - 2031) |
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预计东南亚工业和服务机器人市场将从 2025 年的 12 亿美元成长到 2026 年的 12.9 亿美元,并预计到 2031 年将达到 18.3 亿美元,2026 年至 2031 年的复合年增长率为 7.32%。

成熟製造地劳动力短缺日益加剧、积极的「中国+1」战略推动供应链重组,以及政府对工业4.0的大力支持,共同加速了工业机器人和服务机器人的应用。泰国凭藉着东部经济走廊(EEC)的优惠政策,目前正引领市场需求;而越南则凭藉其快速发展的电子产业,正转型成为区域自动化中心。协作机器人(cobot)因其灵活、面积的解决方案,在中小型企业中越来越受欢迎;而重型关节机器人仍然是汽车和电子产品生产线的核心。对于寻求地理多元化和成本竞争力的全球製造商而言,东南亚的工业和服务机器人市场正成为其近岸外包策略的关键驱动力。
东协内部的大规模财政奖励正在降低製造商试点和扩大自动化规模的资本门槛。泰国东部经济走廊(EEC)已拨款450亿美元用于升级其高科技产业,其中机器人技术是重点发展领域。自2016年以来,新加坡已投资6,000万新元用于40多个机器人计划,协助Lionsbot等Start-Ups扩大自主清洁设备的生产规模。泰国投资促进委员会也正在支持价值150亿泰铢的机器人计划,目标是每年部署1万套新系统。这些项目包括培训津贴和测试平台,旨在弥合技能差距,并建立一个能够支持从中小企业到跨国公司等各类企业的自我强化型生态系统。马来西亚的「工业4.0」(Industry4WRD)和印尼的「印尼4.0」(Making Indonesia 4.0)计画也在推行类似的政策,补贴范围已扩展至整个东南亚的工业和服务机器人市场。
新加坡减少外籍劳工配额以及泰国人口结构的变化正在推动薪资上涨,缩小机器人与人力成本之间的差距。由于企业面临人才短缺的困境,新加坡政府已拨款4.5亿新元(约3.5336亿美元),分三年推动职场自动化。在医疗保健领域,曼谷的蒙库瓦塔纳综合医院引入了配药机器人,以应对护理人员短缺的问题。初步计划的成功表明,机器人能够快速获得投资回报,增强了经营团队的信心,并促使其在製造业、酒店业和物流业等其他行业中得到更广泛的应用。
廉价的移民劳动成本仍然低于许多重复性工作的机器人每小时成本,这阻碍了劳动力充裕产业的自动化普及。在印尼工厂,人工作业通常能更快收回投资,因此除了品质关键型任务外,自动化进程较为缓慢。越南的中小型企业也面临类似的困境,而电子巨头们正在实现无尘室生产线的自动化。最低工资的上涨以及像和硕联合科技(Pegatron)的5G智慧工厂这样的示范计划,标誌着一个转折点的到来:生产力的提升将超过初始资本投资。
到2025年,工业机器人将占据东南亚工业和服务机器人市场71.30%的份额,这主要得益于电子SMT生产线、汽车焊接单元和通用物料输送任务的应用。关节型、SCARA型和直角坐标型机器人能够为注重速度和精确度的终端使用者提供高重复性。同时,协作机器人(cobot)预计将以18.70%的复合年增长率成为成长最快的机器人类型,这主要得益于中小企业采用即插即用的协作机器人进行机器操作和包装。优傲机器人(Universal Robots)已在全球售出超过10万台协作机器人,并正在拓展销售管道,以挖掘尚未开发的市场需求。协作机器人易于改装到现有设备中,避免了高成本的安全围栏,缩短了投资回收期,因此在塑胶成型、印刷电路基板组装和食品加工等领域得到了广泛应用。在预测期内,将大型工业机械臂与辅助协作机器人结合的混合生产线预计将在越南和泰国的工厂中广泛应用,东南亚工业和服务机器人市场预计将发展成为一个机器人种类繁多的市场。
第二代Delta和并联机器人满足了食品包装行业对超高速取放的需求,而能够处理超过1000公斤负载的重型机器人,例如川崎重工的MG系列,则可用于造船和建筑工地的货物搬运。服务机器人虽然目前收入潜力尚小,但在医疗保健、饭店服务和公共场所清洁方面展现出巨大的潜力。这些趋势表明,东南亚工业和服务机器人市场的硬体多样化和软体演进将持续进行。
待开发区工厂占据了大部分安装量,跨国公司在越南、马来西亚和印尼等地建造了最先进的生产线。 AutoStore在泰国新建的模组化机器人工厂就是一个很好的例子,它透过扩大本地产能来满足全球需求并缩短前置作业时间。东南亚工业和服务机器人市场也出现了维修计划数量的成长。这代表着一个近期机会,因为AutoStore 65%的「货物搬运系统」都安装在现有设施中(棕地)。不断增长的维修需求鼓励中小企业在无需彻底翻新整个工厂的情况下对老旧生产线进行现代化改造。
混合策略允许透过将新的自动化单元与现有的人工工作站结合来实现逐步扩张。转向基于订阅的「机器人即服务」模式进一步降低了财务风险,并吸引了新的买家,从而促进了工业和服务机器人在东南亚地区的日益普及。
The Southeast Asia industrial and service robot market is expected to grow from USD 1.20 billion in 2025 to USD 1.29 billion in 2026 and is forecast to reach USD 1.83 billion by 2031 at 7.32% CAGR over 2026-2031.

Rising labor scarcity in mature manufacturing hubs, aggressive "China-plus-one" supply-chain shifts, and a surge of government Industry 4.0 subsidies combine to accelerate uptake of both industrial and service robots. Thailand leads today's demand thanks to Eastern Economic Corridor incentives, while Vietnam's fast-growing electronics sector turns it into the region's automation hotspot. Collaborative cobots gain traction among SMEs seeking flexible, low-footprint solutions, even as heavy-duty articulated units remain core to automotive and electronics lines. The Southeast Asia industrial and service robot market is becoming a pivotal enabler of near-shoring strategies for global manufacturers that want geographic diversity and cost competitiveness.
Massive fiscal incentives across ASEAN are lowering capital hurdles for manufacturers to trial and scale automation. Thailand's Eastern Economic Corridor earmarked USD 45 billion for high-tech industry upgrades, with robotics highlighted as a priority. Singapore has invested SGD 60 million since 2016 into more than 40 robotics projects, enabling startups such as Lionsbot to boost production of autonomous cleaning units. Thailand's Board of Investment further facilitated robotics projects worth 15 billion baht, aiming for 10,000 new systems annually. These programs include training grants and testbeds, closing skill gaps and creating a self-reinforcing ecosystem that supports SMEs as well as multinationals. Malaysia's Industry4WRD and Indonesia's Making Indonesia 4.0 push similar agendas, extending the subsidy tailwind across the entire Southeast Asia industrial and service robot market.
Tighter foreign-worker quotas in Singapore and demographic shifts in Thailand are stoking wage inflation that narrows the cost gap between robots and humans. Singapore's government earmarked SGD 450 million (USD 353.36 million) over three years to accelerate workplace automation as companies struggle to hire. In healthcare, Bangkok's Mongkutwattana General Hospital deployed medication-dispensing robots to offset nursing shortages. Successful early projects demonstrate quick payback, reinforcing boardroom confidence and triggering wider adoption across manufacturing, hospitality, and logistics.
Cheap migrant labour still undercuts robot hourly costs for many repetitive tasks, restraining uptake in labour-abundant industries. Indonesian factories often achieve faster payback through manual processes, delaying automation except in quality-critical operations. Vietnamese SMEs confront similar arithmetic even as electronics giants automate clean-room lines. Rising minimum wages and demonstration projects such as Pegatron's 5G-enabled smart factory illustrate the tipping point where premium throughput offsets initial capex.
Other drivers and restraints analyzed in the detailed report include:
For complete list of drivers and restraints, kindly check the Table Of Contents.
Industrial robots generated 71.30% of the Southeast Asia industrial and service robot market size in 2025, anchored in electronics SMT lines, automotive welding cells, and general material-handling tasks. Articulated, SCARA, and cartesian models deliver high repeatability for end-users that prioritise speed and accuracy. Meanwhile, cobots record the fastest 18.70% CAGR as SMEs adopt plug-and-play units for machine tending and packaging. Universal Robots has shipped more than 100,000 cobots worldwide and enlarged its Philippine channel to tap untapped demand. The retrofit-friendly nature of cobots sidesteps costly safety fencing and shortens payback periods, expanding reach across plastic moulding, PCB assembly, and food processing. Over the forecast horizon, hybrid lines mixing large industrial arms with auxiliary cobots will characterise factories across Vietnam and Thailand, cementing the Southeast Asia industrial and service robot market as a heterogeneous blend of form factors.
Second-generation delta and parallel robots address ultra-high-speed pick-and-place needs in food packaging, while heavy-duty 1,000 kg-plus payload units such as Kawasaki's MG series enable shipbuilding and construction handling. Service robots remain a smaller revenue slice but exhibit strong potential in healthcare, hospitality, and public-space cleaning. Combined, these patterns point to sustained hardware diversification and continual software enhancements that enrich the Southeast Asia industrial and service robot market.
Greenfield factories absorb the bulk of units as multinationals erect state-of-the-art lines in Vietnam, Malaysia, and Indonesia. AutoStore's new modular-robot factory in Thailand exemplifies the build-out of local capacity to meet global demand while cutting lead times. The Southeast Asia industrial and service robot market size for retrofit projects is also rising, representing near-term opportunities because 65% of AutoStore goods-to-person systems have been installed in brownfield sites. Retrofit momentum helps SMEs modernise legacy lines without full plant overhauls.
Hybrid strategies blend new automated cells with existing manual workstations, allowing gradual scaling. The shift towards subscription-based "robots-as-a-service" further reduces financial risk, pulling in first-time buyers and broadening the Southeast Asia industrial and service robot industry's adoption funnel.
Southeast Asia Industrial and Service Robot Market Report is Segmented by Robot Type (Industrial Robots, Service Robots), Payload Capacity (Up To 15 Kg, 16-60 Kg, and More), Component (Hardware, and More), Application (Assembly, and More), End-User Industry (Automotive, and More), Installation Type (New Installations, and More), Enterprise Size (Large Enterprises, Smes). The Market Forecasts are Provided in Terms of Value (USD).