Pick and Place Machines

Global Pick and Place Machines Market to Reach US$3.1 Billion by 2030

The global market for Pick and Place Machines estimated at US$2.6 Billion in the year 2024, is expected to reach US$3.1 Billion by 2030, growing at a CAGR of 2.8% over the analysis period 2024-2030. Placing Machines, one of the segments analyzed in the report, is expected to record a 3.9% CAGR and reach US$1.5 Billion by the end of the analysis period. Growth in the Solder Paste Screen Printers segment is estimated at 1.7% CAGR over the analysis period.

The U.S. Market is Estimated at US$714.0 Million While China is Forecast to Grow at 5.6% CAGR

The Pick and Place Machines market in the U.S. is estimated at US$714.0 Million in the year 2024. China, the world`s second largest economy, is forecast to reach a projected market size of US$612.0 Million by the year 2030 trailing a CAGR of 5.6% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 1.0% and 2.2% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 1.6% CAGR.

Global Pick and Place Machines Market – Key Trends & Drivers Summarized

Why Are Pick and Place Machines Becoming Indispensable in High-Speed, High-Precision Electronics Assembly?

Pick and place machines, used primarily in surface-mount technology (SMT) assembly lines, are at the core of modern electronics manufacturing, enabling the rapid and accurate placement of components onto printed circuit boards (PCBs). As demand for miniaturized, multifunctional electronics accelerates, the role of automated component placement systems has become critical to maintaining throughput, precision, and yield in densely populated PCB designs. These machines support everything from low-volume prototyping to high-volume consumer electronics production across sectors like telecommunications, automotive, medical devices, and aerospace.

With electronic devices becoming more compact, multilayered, and integrated, manual component assembly has become both technically impractical and economically inefficient. Pick and place systems are designed to handle thousands of components per hour with micron-level accuracy using advanced vision alignment, rotary heads, and vacuum-based gripping nozzles. As design complexity and component diversity continue to grow—especially with the proliferation of 5G modules, micro-BGAs, and flexible circuits—these machines ensure repeatability, speed, and reliability that manual methods cannot replicate, cementing their position as essential equipment in the modern digital economy.

How Are Innovations in Vision Systems, AI Integration, and Modularity Enhancing Performance Capabilities?

The evolution of pick and place machines is being fueled by advances in machine vision, artificial intelligence, and modular robotics. Modern systems are equipped with high-speed cameras and AI-powered image recognition algorithms that not only identify component orientation but also detect defects, misalignments, or missing components during placement. Some systems even incorporate deep learning to predict nozzle wear, proactively adjust placement parameters, or optimize feeder alignment in real time, thereby improving OEE (Overall Equipment Effectiveness).

In parallel, modular machine architectures are becoming more prevalent, allowing manufacturers to scale their assembly capacity by adding placement heads or feeder banks without overhauling the entire line. Hybrid platforms capable of handling both SMT and through-hole components are reducing the need for separate lines, especially in automotive and industrial electronics. Integration with MES (Manufacturing Execution Systems), real-time data logging, and traceability features ensure compliance with quality standards like IPC-A-610, ISO 9001, and IATF 16949. These advancements are pushing pick and place systems into a new realm of intelligent, agile, and highly customized production capabilities.

Which Industry Verticals and Global Manufacturing Hubs Are Driving Pick and Place Equipment Demand?

The consumer electronics industry—including smartphones, tablets, wearables, and smart home devices—remains the largest end-user of pick and place machines due to the high-speed, high-volume nature of production. Automotive electronics is a fast-growing segment, driven by trends in electric vehicles (EVs), advanced driver assistance systems (ADAS), and in-vehicle infotainment, all of which demand complex, multilayered PCB assemblies. Medical electronics and industrial IoT (IIoT) sectors are also significant contributors to market demand, where the need for miniaturization, quality assurance, and customization is critical.

Asia-Pacific leads global adoption, with China, South Korea, Japan, and Taiwan forming the backbone of electronics manufacturing infrastructure. These countries benefit from robust supply chains, skilled labor, and high-capacity EMS providers. North America and Europe maintain strong presence in high-reliability segments such as aerospace, defense, and medical devices, where precision and traceability outweigh sheer production volume. As reshoring initiatives and Industry 4.0 strategies take hold globally, demand for intelligent, flexible pick and place systems is poised to accelerate across all major geographies.

What Is Driving Long-Term Growth and Strategic Innovation in the Pick and Place Machines Market?

The growth in the pick and place machines market is driven by rising electronics penetration, the miniaturization of components, and the shift toward lights-out manufacturing. As demand for customized, high-mix/low-volume production increases, equipment manufacturers are focusing on flexibility, rapid changeover capabilities, and predictive maintenance features. Emerging applications in advanced packaging, system-in-package (SiP), and 3D printed electronics are also reshaping machine specifications to accommodate novel substrates and unconventional component geometries.

Strategically, companies are investing in machine learning-enabled diagnostics, cloud-based line monitoring, and edge analytics to provide smarter maintenance and higher yield predictability. Open interfaces for integration with collaborative robots, automated inspection systems, and reflow ovens are transforming pick and place machines into interconnected nodes within cyber-physical production environments. With sustainability becoming a key operational metric, energy-efficient designs and low-consumable systems are gaining attention. As global electronics demand intensifies and automation becomes mainstream, pick and place machines will remain pivotal to manufacturing resilience, speed, and innovation.

SCOPE OF STUDY:

The report analyzes the Pick and Place Machines market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:
Product (Placing Machines, Solder Paste Screen Printers, Baking Ovens / Curing Ovens, Reflow Soldering Machines); Machine (Automatic, Semi-Automatic, Manual); End-Use (Consumer Electronics, Automotive, Telecom)

Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.

Select Competitors (Total 41 Featured) -

• ABB Ltd.
• ASM Assembly Systems GmbH & Co. KG
• Comau LLC
• DDM Novastar Inc.
• DENSO Robotics
• Europlacer Industries
• FANUC Corporation
• Fuji Corporation
• Hanwha Precision Machinery
• Juki Corporation
• Kawasaki Robotics Inc.
• Kollmorgen Corporation
• KUKA AG
• Mitsubishi Electric Corporation
• Mycronic AB
• NeoDen Technology Co., Ltd.
• Nordson Corporation
• Omron Corporation
• Panasonic Corporation
• Yamaha Motor Co., Ltd.

AI INTEGRATIONS
We`re transforming market and competitive intelligence with validated expert content and AI tools.

Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR
Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

Please note: Reports are sold as single-site single-user licenses. Electronic versions require 24-48 hours as each copy is customized to the client with digital controls and custom watermarks. The Publisher uses digital controls protecting against copying and printing is restricted to one full copy to be used at the same location.

The latest version of Adobe Acrobat Reader is required to view the report. Upon ordering an electronic version, the Publisher will provide a link to download the purchased report.

Prior to fulfillment of an order, the client will be required to sign a document detailing the purchase terms for a publication from this publisher.