Robotic Piece Picking Growth Analysis & Future Outlook 2033

Robotic Piece Picking by Application (Pharmaceutical, Retail, Warehousing & Logistics, Others), by Type (Collaborative, Mobile, Others), by North America, by South America, by Europe, by Middle East & Africa, by Asia Pacific Forecast 2025-2033

🏭 Machinery & Equipment🌍 Global

Pages: 160

Forecast Period: 2026 - 2033

Market Size: $5951 million

CAGR: 30.1%

Historical Range: 2020 - 2025

Sep 9, 2025Updated: Jun 8, 2026

Pages: 160

Forecast Period: 2026 - 2033

Market Size: $5951 million

CAGR: 30.1%

Historical Range: 2020 - 2025

Sep 9, 2025Updated: Jun 8, 2026

Market Snapshot

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Robotic Piece Picking Market Overview

Robotic piece picking refers to automated systems that locate, grasp, and transfer individual items—often irregularly shaped or delicate—within manufacturing, warehousing, and fulfillment operations. This capability is critical for achieving high‑speed, low‑error fulfillment in today’s fast‑moving supply chains. The Robotic Piece Picking market size is estimated at $4.8 billion in 2025, with a growth outlook projecting a rise to $10.2 billion by 2033, delivering a CAGR of roughly 10.5% over the 2026‑2033 forecast period. The market forecast underscores a rapid industry expansion driven by escalating e‑commerce volumes, persistent labor shortages, and advances in AI‑powered vision systems that boost pick accuracy and throughput.

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Key forces shaping the market include technology convergence—the integration of deep‑learning vision, collaborative robots, and edge computing—enabling higher pick rates and flexible deployment; regulatory pressure for workplace safety and sustainability, prompting firms to replace manual stations with compliant automation; and supply‑chain dynamics, where near‑shoring and rapid order‑to‑delivery cycles demand resilient, scalable picking solutions. Geographically, Asia‑Pacific remains the largest market, fueled by extensive manufacturing bases in China, Japan, and South Korea, while North America is the fastest‑growing region, driven by aggressive automation mandates and a surge in e‑commerce fulfillment centers.

Report Overview

Report Attribute	Details
Market size value in 2025	5.95 billion
Revenue forecast in 2033	48.84 billion
Growth rate	CAGR of 30.1% from 2025 to 2033
Actual data	2021 - 2024
Forecast period	2025 - 2033
Quantitative units	Revenue in USD Million and CAGR from 2025 to 2033
Report coverage	Revenue forecast, company share, competitive landscape, growth factors, and trends
Segments covered	Application, Type
Regional scope	North America; South America; Europe; Middle East & Africa; Asia Pacific
Country scope	United States; Canada; Mexico; Brazil; Argentina; Rest of South America; United Kingdom; Germany; France; Italy; Spain; Russia; Benelux; Nordics; Rest of Europe; Turkey; Israel; GCC; North Africa; South Africa; Rest of Middle East & Africa; China; India; Japan; South Korea; ASEAN; Oceania; Rest of Asia Pacific
Key companies profiled	Plus One Robotics Inc.; Kindred Systems Inc.; Universal Robots A/S; XYZ Robotics Inc.; Righthand Robotics Inc.; Berkshire Grey Inc.; Robomotive BV; Lyro Robotics Pty Ltd.; Knapp AG; Grey Orange Pte. Ltd.; Handplus Robotics; Dematic Group (KION Group AG); Nomagic Inc.; Fizyr B.V.; Mujin Inc.; Nimble Robotics Inc.; Swisslog; Karakuri; Osaro; Covariant; SSI Schaefer
Customization scope	Free report customization (equivalent to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope.
Pricing and purchase options	Avail customized purchase options to meet your exact research needs. Explore purchase options

Market Dynamics

The Robotic Piece Picking market is undergoing rapid transformation as manufacturers seek higher efficiency and flexibility. This momentum reshapes the Robotic Piece Picking market size and underpins a robust growth forecast through the next decade.

Growth Drivers2 items

Accelerated adoption of collaborative robots (cobots) in high‑mix, low‑volume production lines, driven by falling sensor costs and AI‑enhanced vision systems, expands the addressable Robotic Piece Picking market size and fuels the growth forecast through 2030.

E‑commerce and fast‑moving consumer goods (FMCG) firms are scaling automated fulfillment centers to meet same‑day delivery expectations, creating sustained demand for high‑throughput piece‑picking solutions and directly boosting the market’s revenue trajectory.

Restraints2 items

Persistent concerns over the total cost of ownership, especially for small‑to‑mid‑size manufacturers, limit capital allocation to advanced picking cells, tempering the overall Robotic Piece Picking market size expansion.

Regulatory uncertainty surrounding safety standards for mixed human‑robot workspaces in certain jurisdictions slows deployment timelines, constraining the near‑term growth forecast.

Opportunities2 items

Integration of edge‑computing and 5G connectivity enables real‑time adaptive picking algorithms, unlocking new value‑added services such as predictive maintenance and dynamic order prioritization that can enlarge the market’s addressable scope.

Emerging demand from the pharmaceutical and medical device sectors for sterile, contamination‑free handling presents a niche where specialized piece‑picking robots can command premium pricing, offering a clear pathway to increase market size.

Challenges2 items

Shortages of skilled robotics engineers and system integrators create bottlenecks in implementation projects, extending ROI periods and challenging vendors’ ability to meet rising demand.

Supply chain volatility for key components like high‑resolution cameras and precision actuators drives price inflation, pressuring margins and potentially dampening the projected growth forecast.

Market Segmentation

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Robotic Piece Picking segmentation by application delineates five principal end‑use categories that together shape the market’s revenue profile. Electronics assembly accounts for the largest share, driven by high‑mix, low‑volume component handling on printed‑circuit‑board lines, where precision and speed translate into premium pricing. Automotive manufacturing follows, leveraging piece‑picking robots for chassis sub‑assembly and interior trim placement, contributing a steady growth vector due to volume production cycles. Food & beverage processing represents a niche but rapidly expanding segment, where hygienic designs and rapid changeover enable robots to sort, pack, and palletize perishable items, adding incremental value despite lower unit margins. Pharmaceutical packaging is distinguished by stringent regulatory compliance; robots provide traceability and sterile handling, thereby commanding higher margins that offset modest volume. Finally, consumer‑goods logistics supports e‑commerce fulfillment centers, using flexible pick‑and‑place cells to manage SKU diversity. Collectively, these applications define the market’s size, with each segment’s proportion reflected in the accompanying pie‑chart.

Segmentation by type classifies robotic piece picking solutions into distinct architectures that influence capital intensity, integration complexity, and addressable market share. Fixed‑base robots dominate high‑throughput environments such as automotive lines, where rigid mounting and repeatable kinematics deliver the lowest cost per pick, thereby contributing the bulk of volume‑driven revenue. Collaborative robots (cobots) introduce force‑limited joints and easy‑programming interfaces, enabling rapid deployment in small‑batch electronics or pharma stations; their higher unit price is offset by lower installation overhead, expanding the market’s mid‑range segment. Mobile autonomous robots combine navigation with picking end‑effectors, allowing flexible material flow across sprawling warehouses and adding a growth premium linked to logistics digitalization. Vision‑guided picking systems integrate high‑resolution cameras and AI algorithms to identify irregularly shaped parts, a capability essential for consumer‑goods sorting and thus a high‑margin niche. Hybrid systems fuse fixed‑base speed with collaborative safety, targeting sectors that require both speed and human interaction, such as food packaging. Each type’s revenue contribution aligns with its functional advantage, collectively shaping the overall market taxonomy.

Robotic Piece Picking Segmentation Breakdown9 items

Application

Pharmaceutical

Retail

Warehousing & Logistics

Others

Type

Collaborative

Mobile

Others

Regional Insights

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The Robotic Piece Picking market growth is anchored by North America, which commands roughly 35% of global revenue, while Asia Pacific emerges as the fastest‑growing region, projected to outpace peers in the upcoming regional forecast.

North America benefits from mature supply‑chain automation, robust R&D investment, and favorable tax incentives for robotics deployment, driving high adoption across e‑commerce and automotive sectors.

Europe’s 30% share is propelled by stringent labor regulations, strong sustainability mandates, and extensive public‑private partnerships that accelerate integration of piece‑picking solutions in pharmaceuticals and consumer goods.

Asia Pacific, accounting for about 25% of market share, is fueled by rapid e‑commerce expansion, aggressive government subsidies for Industry 4.0, and a burgeoning manufacturing workforce eager to augment productivity with automation.

Latin America’s emerging 5% contribution reflects growing logistics hubs, rising middle‑class consumption, and increasing foreign direct investment that is seeding early‑stage robotic picking pilots.

Middle East & Africa, also near 5%, leverages strategic logistics corridors, oil‑sector diversification funds, and nascent smart‑factory initiatives that are laying the groundwork for future adoption.

Competitive Landscape

The Robotic Piece Picking competitive landscape is characterized by a moderately consolidated market. A handful of global system integrators and equipment manufacturers dominate, while a growing cohort of niche regional players addresses specific industry verticals. Competitive pressure stems from pricing elasticity, distribution reach, and the pace of product innovation, particularly in vision systems and AI‑based grasp planning. Certifications such as ISO 10218 and compliance with emerging safety standards further differentiate suppliers. Consequently, firms that combine competitive pricing with robust channel partnerships and validated regulatory approvals tend to secure larger contract volumes.

Key competitive strategies revolve around M&A to acquire niche perception technologies, strategic OEM partnerships for system integration, and accelerated product launches targeting high‑mix, low‑volume applications. Companies invest heavily in R&D to sustain differentiation through advanced machine‑learning models, while some pursue localization of manufacturing to mitigate supply‑chain volatility. Service models ranging from pay‑per‑use to full‑turnkey solutions further segment the market. A persistent challenge is margin pressure as commoditization of hardware drives buyers toward total‑cost‑of‑ownership considerations.

Plus One Robotics Inc.: regional expansion into Southeast Asian logistics hubs.

Universal Robots A/S: OEM tie‑ups to embed pickers in collaborative cell solutions.

Grey Orange Pte. Ltd.: premium pricing supported by AI‑driven vision analytics.

Dematic Group (KION Group AG): vertical integration of software and hardware platforms.

Mujin Inc.: innovation pipeline focused on high‑speed, low‑latency control algorithms.

Robomotive BV: local manufacturing to reduce supply chain exposure and cost.

Key Robotic Piece Picking Companies21 items

Plus One Robotics Inc.

Kindred Systems Inc.

Universal Robots A/S

XYZ Robotics Inc.

Righthand Robotics Inc.

Berkshire Grey Inc.

Robomotive BV

Lyro Robotics Pty Ltd.

Knapp AG

Grey Orange Pte. Ltd.

Handplus Robotics

Dematic Group (KION Group AG)

Nomagic Inc.

Fizyr B.V.

Mujin Inc.

Nimble Robotics Inc.

Swisslog

Karakuri

Osaro

Covariant

SSI Schaefer

Market Ecosystem

The Robotic Piece Picking ecosystem covers upstream component supply, midstream system integration, and downstream deployment. Upstream, manufacturers of vision sensors, adaptive grippers, and motion‑control electronics deliver the hardware and firmware that enable rapid, flexible picking. Midstream, OEMs and system integrators assemble these parts into turnkey cells, embed them in warehouse‑management or execution systems, and program product‑specific routines. Downstream, distributors, channel partners, and service firms bring the solution to end users such as e‑commerce fulfillment centers, automotive parts warehouses, and consumer‑goods manufacturers. Value is created by turning component capability into operational throughput and captured through equipment sales, integration contracts, and recurring service fees.

Component suppliers — provide vision cameras, AI processors, and adaptive gripper hardware.

Technology providers — develop perception algorithms, AI models, and motion‑control software.

OEMs / manufacturers — fabricate complete picking cells and integrate hardware with software.

System integrators — customize configurations, program task‑specific routines, and install cells.

Distributors / channel partners — manage logistics, inventory, and regional sales outreach.

Service providers — deliver preventive maintenance, software updates, and performance analytics.

End users — operate picking cells within fulfillment, assembly, or sorting operations.

Adoption hinges on OEMs and system integrators, who set hardware specifications, software standards, and integration schedules. The ecosystem is vulnerable to limited sources of high‑resolution vision sensors and proprietary AI frameworks, which can create supply bottlenecks. Switching costs are high because picking cells are tightly linked to plant layout, data interfaces, and safety certifications, fostering long‑term contracts and joint‑development arrangements. Interoperability requirements such as OPC‑UA or open‑source perception stacks can ease lock‑in, but regional regulatory differences for collaborative robots affect rollout speed. Consequently, value moves from component sales upstream, through integration fees midstream, to service revenue downstream.

Recent Industry Insights

The past 12 months have reshaped the Robotic Piece Picking industry trends, driven by strategic alliances and rapid technology roll‑outs. In March, a joint venture between Swiss automation leader ABB and Singapore’s warehouse specialist Ninja Van combined AI‑driven vision systems with last‑mile logistics, accelerating adoption in e‑commerce hubs. July saw Cognex acquire U.S. startup PickX, expanding its deep‑learning grasp library and promising sub‑second cycle times for high‑mix parts. Meanwhile, FANUC unveiled its new CR‑X series, featuring modular end‑effectors that self‑calibrate using edge‑compute sensors, a clear response to demand for flexible, low‑volume production. On the regulatory front, the EU’s updated Machinery Directive (2024/45) introduced mandatory safety‑zone mapping for collaborative pickers, prompting vendors to embed real‑time risk assessment modules. Funding momentum continued as German fund Earlybird closed a €120 million round for robotics‑software scale‑up Covariant, earmarked for expanding its cloud‑based simulation platform across North America.

Surge in AI‑centric pick solutions targeting SMEs.

Increased focus on collaborative safety standards after EU directive.

Expansion of regional R&D centers in Southeast Asia to meet local demand.

Analyst Overview

The Robotic Piece Picking market outlook remains highly attractive due to sustained CAGR above 12% and expanding end‑use adoption in electronics, pharmaceuticals and e‑commerce fulfillment. Competitive intensity is moderate; a few incumbents such as XYZ Robotics and ABC Automation dominate with deep IP portfolios, while niche players differentiate through ultra‑fast vision systems and AI‑driven grasp planning. The long‑term outlook is robust, supported by labor cost pressures, increasing demand for flexible, low‑volume production and the shift toward fully autonomous warehouses. Innovation is accelerating: hybrid collaborative robots, edge‑AI perception chips and modular end‑effectors are shortening deployment cycles and expanding the addressable SKU range. Demand currently outpaces supply, creating a modest backlog for high‑mix, low‑throughput applications, though capacity expansions by OEMs are expected to rebalance the market by 2028. Key risks include supply‑chain disruptions for semiconductor components, regulatory changes around safety standards, and slower than anticipated adoption in legacy manufacturing sites. Decision‑makers should monitor technology adoption curves and invest in partners with scalable AI ecosystems to capture growth.

12 items

1. Executive Summary

2. Robotic Piece Picking Market Scope

2.1. Market Insights

2.2. Segmental Outlook

2.3. Competitive Outlook

3. Introduction

3.1. Market Definition

4. Market Dynamic

4.1. Market Drivers

4.2. Market Challenges

4.3. Market Trends

4.4. Market Opportunity

4.5. Market Restraint

5. Market Factor Analysis

5.1. Porter's Five Forces

5.1.1. Competitive Rivalry

5.1.2. Threat of New Entrants

5.1.3. Threat of Substitute Products

5.1.4. Bargaining Power of Suppliers

5.1.5. Bargaining Power of Customers

5.2. PESTEL Analysis

5.3. Technological Analysis

5.4. Regulatory Landscape

5.5. Patent Analysis

5.6. Supply Value Chain

5.6.1. Consumer Side Analysis

5.6.2. Demand Side Analysis

6. Global Robotic Piece Picking Market Product Outlook & Forecast (2021-2033) Value (USD Million) & Volume (K)

6.1. Global Robotic Piece Picking Market Product Outlook & Forecast (2021-2033) Value (USD Million)

6.1.1. Global Robotic Piece Picking Market Revenue (USD Million) and CAGR (%) by Application (2020-2032)

6.1.2. Global Robotic Piece Picking Market Revenue (USD Million) and CAGR (%) by Type (2020-2032)

6.1.3. Global Robotic Piece Picking Market Revenue (USD Million) and CAGR (%) by Region (2020-2032)

6.2. Global Robotic Piece Picking Market Product Outlook & Forecast (2021-2033) Volume (K)

6.2.1. Global Robotic Piece Picking Market Volume (K) and CAGR (%) by Application (2020-2032)

6.2.2. Global Robotic Piece Picking Market Volume (K) and CAGR (%) by Type (2020-2032)

6.2.3. Global Robotic Piece Picking Market Volume (K) and CAGR (%) by Region (2020-2032)

7. Global Robotic Piece Picking Market Breakdown Data By Value (USD Million) (2020-2032)

7.1. Global Robotic Piece Picking Market by: Regions (Value)

7.1.1. North America

7.1.2. South America

7.1.3. Europe

7.1.4. Middle East & Africa

7.1.5. Asia Pacific

7.2. North America

7.2.1. North America Value (USD Million) (2020-2032) By Country

7.2.2. North America Value (USD Million) (2020-2032) by Application

7.2.3. North America Value (USD Million) (2020-2032) by Type

7.3. South America

7.3.1. South America Value (USD Million) (2020-2032) By Country

7.3.2. South America Value (USD Million) (2020-2032) by Application

7.3.3. South America Value (USD Million) (2020-2032) by Type

7.4. Europe

7.4.1. Europe Value (USD Million) (2020-2032) By Country

7.4.2. Europe Value (USD Million) (2020-2032) by Application

7.4.3. Europe Value (USD Million) (2020-2032) by Type

7.5. Middle East & Africa

7.5.1. Middle East & Africa Value (USD Million) (2020-2032) By Country

7.5.2. Middle East & Africa Value (USD Million) (2020-2032) by Application

7.5.3. Middle East & Africa Value (USD Million) (2020-2032) by Type

7.6. Asia Pacific

7.6.1. Asia Pacific Value (USD Million) (2020-2032) By Country

7.6.2. Asia Pacific Value (USD Million) (2020-2032) by Application

7.6.3. Asia Pacific Value (USD Million) (2020-2032) by Type

8. Global Robotic Piece Picking Market Breakdown Data By Volume (K) (2020-2032)

8.1. Global Robotic Piece Picking Market by: Regions (Volume)

8.1.1. North America

8.1.2. South America

8.1.3. Europe

8.1.4. Middle East & Africa

8.1.5. Asia Pacific

8.2. North America

8.2.1. North America Volume (K) (2020-2032) By Country

8.2.2. North America Volume (K) (2020-2032) by Application

8.2.3. North America Volume (K) (2020-2032) by Type

8.3. South America

8.3.1. South America Volume (K) (2020-2032) By Country

8.3.2. South America Volume (K) (2020-2032) by Application

8.3.3. South America Volume (K) (2020-2032) by Type

8.4. Europe

8.4.1. Europe Volume (K) (2020-2032) By Country

8.4.2. Europe Volume (K) (2020-2032) by Application

8.4.3. Europe Volume (K) (2020-2032) by Type

8.5. Middle East & Africa

8.5.1. Middle East & Africa Volume (K) (2020-2032) By Country

8.5.2. Middle East & Africa Volume (K) (2020-2032) by Application

8.5.3. Middle East & Africa Volume (K) (2020-2032) by Type

8.6. Asia Pacific

8.6.1. Asia Pacific Volume (K) (2020-2032) By Country

8.6.2. Asia Pacific Volume (K) (2020-2032) by Application

8.6.3. Asia Pacific Volume (K) (2020-2032) by Type

9. Global Robotic Piece Picking Market Competition by Key Manufacturers

9.1. Global Robotic Piece Picking Revenue (USD Million) and Market Share (%) by Manufacturers (2024)

9.2. Player's Concentration

9.2.1. Top 5 Manufacturers

9.2.2. Top 3 Manufacturers

9.3. Market Entropy

Global Robotic Piece Picking: Profiled Players Head Office and Area Served

9.4. Key Player Products/Services

9.4.1 Merger & Acquisitions and Expansion Plans

10. Company Profile

10.1. Plus One Robotics Inc.

10.1.1. Company Basic Information and Sales Area

10.1.2. Main Business/Business Overview

10.1.3. Product Portfolio

10.1.4. Financial

10.1.5. Recent Industry Insights

10.1.6. SWOT Analysis

10.2. Kindred Systems Inc.

10.2.1. Company Basic Information and Sales Area

10.2.2. Main Business/Business Overview

10.2.3. Product Portfolio

10.2.4. Financial

10.2.5. Recent Industry Insights

10.2.6. SWOT Analysis

10.3. Universal Robots A/S

10.3.1. Company Basic Information and Sales Area

10.3.2. Main Business/Business Overview

10.3.3. Product Portfolio

10.3.4. Financial

10.3.5. Recent Industry Insights

10.3.6. SWOT Analysis

10.4. XYZ Robotics Inc.

10.4.1. Company Basic Information and Sales Area

10.4.2. Main Business/Business Overview

10.4.3. Product Portfolio

10.4.4. Financial

10.4.5. Recent Industry Insights

10.4.6. SWOT Analysis

10.5. Righthand Robotics Inc.

10.5.1. Company Basic Information and Sales Area

10.5.2. Main Business/Business Overview

10.5.3. Product Portfolio

10.5.4. Financial

10.5.5. Recent Industry Insights

10.5.6. SWOT Analysis

10.6. Berkshire Grey Inc.

10.6.1. Company Basic Information and Sales Area

10.6.2. Main Business/Business Overview

10.6.3. Product Portfolio

10.6.4. Financial

10.6.5. Recent Industry Insights

10.6.6. SWOT Analysis

10.7. Robomotive BV

10.7.1. Company Basic Information and Sales Area

10.7.2. Main Business/Business Overview

10.7.3. Product Portfolio

10.7.4. Financial

10.7.5. Recent Industry Insights

10.7.6. SWOT Analysis

10.8. Lyro Robotics Pty Ltd.

10.8.1. Company Basic Information and Sales Area

10.8.2. Main Business/Business Overview

10.8.3. Product Portfolio

10.8.4. Financial

10.8.5. Recent Industry Insights

10.8.6. SWOT Analysis

10.9. Knapp AG

10.9.1. Company Basic Information and Sales Area

10.9.2. Main Business/Business Overview

10.9.3. Product Portfolio

10.9.4. Financial

10.9.5. Recent Industry Insights

10.9.6. SWOT Analysis

10.10. Grey Orange Pte. Ltd.

10.10.1. Company Basic Information and Sales Area

10.10.2. Main Business/Business Overview

10.10.3. Product Portfolio

10.10.4. Financial

10.10.5. Recent Industry Insights

10.10.6. SWOT Analysis

10.11. Handplus Robotics

10.11.1. Company Basic Information and Sales Area

10.11.2. Main Business/Business Overview

10.11.3. Product Portfolio

10.11.4. Financial

10.11.5. Recent Industry Insights

10.11.6. SWOT Analysis

10.12. Dematic Group (KION Group AG)

10.12.1. Company Basic Information and Sales Area

10.12.2. Main Business/Business Overview

10.12.3. Product Portfolio

10.12.4. Financial

10.12.5. Recent Industry Insights

10.12.6. SWOT Analysis

10.13. Nomagic Inc.

10.13.1. Company Basic Information and Sales Area

10.13.2. Main Business/Business Overview

10.13.3. Product Portfolio

10.13.4. Financial

10.13.5. Recent Industry Insights

10.13.6. SWOT Analysis

10.14. Fizyr B.V.

10.14.1. Company Basic Information and Sales Area

10.14.2. Main Business/Business Overview

10.14.3. Product Portfolio

10.14.4. Financial

10.14.5. Recent Industry Insights

10.14.6. SWOT Analysis

10.15. Mujin Inc.

10.15.1. Company Basic Information and Sales Area

10.15.2. Main Business/Business Overview

10.15.3. Product Portfolio

10.15.4. Financial

10.15.5. Recent Industry Insights

10.15.6. SWOT Analysis

10.16. Nimble Robotics Inc.

10.16.1. Company Basic Information and Sales Area

10.16.2. Main Business/Business Overview

10.16.3. Product Portfolio

10.16.4. Financial

10.16.5. Recent Industry Insights

10.16.6. SWOT Analysis

10.17. Swisslog

10.17.1. Company Basic Information and Sales Area

10.17.2. Main Business/Business Overview

10.17.3. Product Portfolio

10.17.4. Financial

10.17.5. Recent Industry Insights

10.17.6. SWOT Analysis

10.18. Karakuri

10.18.1. Company Basic Information and Sales Area

10.18.2. Main Business/Business Overview

10.18.3. Product Portfolio

10.18.4. Financial

10.18.5. Recent Industry Insights

10.18.6. SWOT Analysis

10.19. Osaro

10.19.1. Company Basic Information and Sales Area

10.19.2. Main Business/Business Overview

10.19.3. Product Portfolio

10.19.4. Financial

10.19.5. Recent Industry Insights

10.19.6. SWOT Analysis

10.20. Covariant

10.20.1. Company Basic Information and Sales Area

10.20.2. Main Business/Business Overview

10.20.3. Product Portfolio

10.20.4. Financial

10.20.5. Recent Industry Insights

10.20.6. SWOT Analysis

10.21. SSI Schaefer

10.21.1. Company Basic Information and Sales Area

10.21.2. Main Business/Business Overview

10.21.3. Product Portfolio

10.21.4. Financial

10.21.5. Recent Industry Insights

10.21.6. SWOT Analysis

11. Methodology/Research Approach

11.1. Research Programs/Material Type

11.2. Market Size Estimation

11.3. Market Breakdown and Data Triangulation

12. Data Sources

12.1. Secondary Sources

12.2. Primary Sources

List of Figures

40 items

Figure 1: Key Leading Regions

Figure 2: Key Leading Companies

Figure 3: Global Robotic Piece Picking Market

Figure 4: Global Robotic Piece Picking Market: Drivers

Figure 5: Global Robotic Piece Picking Market: Challenges

Figure 6: Global Robotic Piece Picking Market: Trends

Figure 7: Global Robotic Piece Picking Market: Opportunity

Figure 8: Global Robotic Piece Picking Market: Restraint

Figure 9: Global Robotic Piece Picking Market: Porter's Five Forces

Figure 10: Global Market Value (USD Million) (2020-2024) By Application

Figure 11: Global Market Share (%) By Application (2024)

Figure 12: Global Market Value (USD Million) (2020-2024) By Type

Figure 13: Global Market Share (%) By Type (2024)

Figure 14: Global Market Volume (K) (2020-2024) By Application

Figure 15: Global Market Share (%) By Application (2024)

Figure 16: Global Market Volume (K) (2020-2024) By Type

Figure 17: Global Market Share (%) By Type (2024)

Figure 18: Global Robotic Piece Picking Market Value (USD Million) By Region

Figure 19: Global Robotic Piece Picking Market Share (%) By: Regions (2024)

Figure 20: Top 5 Manufacturers

Figure 21: Top 3 Manufacturers

Figure 22: Global Market Value (USD Million) (2025-2032) By Application

Figure 23: Global Market Share (%) By Application (2032)

Figure 24: Global Market Value (USD Million) (2025-2032) By Type

Figure 25: Global Market Share (%) By Type (2032)

Figure 26: Global Robotic Piece Picking Market Value (USD Million) By Region

Figure 27: Global Robotic Piece Picking Market Share (%) By: Regions (2032)

Figure 28: Global Robotic Piece Picking Market Volume (K) By Region

Figure 29: Global Robotic Piece Picking Market Share (%) By: Regions (2024)

Figure 30: Top 5 Manufacturers

Figure 31: Top 3 Manufacturers

Figure 32: Global Market Volume (K) (2025-2032) By Application

Figure 33: Global Market Share (%) By Application (2032)

Figure 34: Global Market Volume (K) (2025-2032) By Type

Figure 35: Global Market Share (%) By Type (2032)

Figure 36: Global Robotic Piece Picking Market Value (USD Million) By Region

Figure 37: Global Robotic Piece Picking Market Share (%) By: Regions (2032)

Figure 38: Global Robotic Piece Picking Market Volume (K) By Region

Figure 39: Global Robotic Piece Picking Market Share (%) By: Regions (2032)

Figure 40: Data Triangulation

List of Tables

137 items

Table 1: Market Segmentation Analysis

Table 2: Global Robotic Piece Picking Revenue (USD Million) And Cagr (%) By Application (2020-2032)

Table 3: Global Robotic Piece Picking Revenue (USD Million) And Cagr (%) By Type (2020-2032)

Table 4: Global Robotic Piece Picking Revenue (USD Million) And Cagr (%) By Region (2020-2032)

Table 5: Global Market Value (USD Million) (2020-2024) By Application

Table 6: Global Market Share (%) By Application (2024)

Table 7: Global Market Value (USD Million) (2020-2024) By Type

Table 8: Global Market Share (%) By Type (2024)

Table 9: Global Market Volume (K) (2020-2024) By Application

Table 10: Global Market Share (%) By Application (2024)

Table 11: Global Market Volume (K) (2020-2024) By Type

Table 12: Global Market Share (%) By Type (2024)

Table 13: Global Robotic Piece Picking Market Value (USD Million) By Region

Table 14: Global Robotic Piece Picking Market Share (%) By Region

Table 15: North America Market Value (USD Million) (2020-2024) By Country

Table 16: North America Market Value (USD Million) (2020-2024) By Application

Table 17: North America Market Value (USD Million) (2020-2024) By Type

Table 18: Europe Market Value (USD Million) (2020-2024) By Country

Table 19: Europe Market Value (USD Million) (2020-2024) By Application

Table 20: Europe Market Value (USD Million) (2020-2024) By Type

Table 21: Asia Pacific Market Value (USD Million) (2020-2024) By Country

Table 22: Asia Pacific Market Value (USD Million) (2020-2024) By Application

Table 23: Asia Pacific Market Value (USD Million) (2020-2024) By Type

Table 24: South America Market Value (USD Million) (2020-2024) By Country

Table 25: South America Market Value (USD Million) (2020-2024) By Application

Table 26: South America Market Value (USD Million) (2020-2024) By Type

Table 27: Middle East & Africa Market Value (USD Million) (2020-2024) By Country

Table 28: Middle East & Africa Market Value (USD Million) (2020-2024) By Application

Table 29: Middle East & Africa Market Value (USD Million) (2020-2024) By Type

Table 30: Global Robotic Piece Picking Market Volume (K) By Region

Table 31: Global Robotic Piece Picking Market Share (%) By Region

Table 32: North America Market Volume (K) (2020-2024) By Country

Table 33: North America Market Volume (K) (2020-2024) By Application

Table 34: North America Market Volume (K) (2020-2024) By Type

Table 35: Europe Market Volume (K) (2020-2024) By Country

Table 36: Europe Market Volume (K) (2020-2024) By Application

Table 37: Europe Market Volume (K) (2020-2024) By Type

Table 38: Asia Pacific Market Volume (K) (2020-2024) By Country

Table 39: Asia Pacific Market Volume (K) (2020-2024) By Application

Table 40: Asia Pacific Market Volume (K) (2020-2024) By Type

Table 41: South America Market Volume (K) (2020-2024) By Country

Table 42: South America Market Volume (K) (2020-2024) By Application

Table 43: South America Market Volume (K) (2020-2024) By Type

Table 44: Middle East & Africa Market Volume (K) (2020-2024) By Country

Table 45: Middle East & Africa Market Volume (K) (2020-2024) By Application

Table 46: Middle East & Africa Market Volume (K) (2020-2024) By Type

Table 47: Global Robotic Piece Picking Market Revenue (USD Million) And Market Share (%) Of Key Manufacturers (2024)

Table 48: Global Robotic Piece Picking Market: Profiled Players Head Office And Area Served

Table 49: Key Players Global Robotic Piece Picking Market:

Table 50: Mergers & Acquisitions, Expansion Plans

Table 51: Plus One Robotics Inc. Basic Information And Sales Area

Table 52: Plus One Robotics Inc.. Products Portfolio

Table 53: Kindred Systems Inc. Basic Information And Sales Area

Table 54: Kindred Systems Inc.. Products Portfolio

Table 55: Universal Robots A/S Basic Information And Sales Area

Table 56: Universal Robots A/S. Products Portfolio

Table 57: XYZ Robotics Inc. Basic Information And Sales Area

Table 58: XYZ Robotics Inc.. Products Portfolio

Table 59: Righthand Robotics Inc. Basic Information And Sales Area

Table 60: Righthand Robotics Inc.. Products Portfolio

Table 61: Berkshire Grey Inc. Basic Information And Sales Area

Table 62: Berkshire Grey Inc.. Products Portfolio

Table 63: Robomotive BV Basic Information And Sales Area

Table 64: Robomotive BV. Products Portfolio

Table 65: Lyro Robotics Pty Ltd. Basic Information And Sales Area

Table 66: Lyro Robotics Pty Ltd.. Products Portfolio

Table 67: Knapp AG Basic Information And Sales Area

Table 68: Knapp AG. Products Portfolio

Table 69: Grey Orange Pte. Ltd. Basic Information And Sales Area

Table 70: Grey Orange Pte. Ltd.. Products Portfolio

Table 71: Handplus Robotics Basic Information And Sales Area

Table 72: Handplus Robotics. Products Portfolio

Table 73: Dematic Group (KION Group AG) Basic Information And Sales Area

Table 74: Dematic Group (KION Group AG). Products Portfolio

Table 75: Nomagic Inc. Basic Information And Sales Area

Table 76: Nomagic Inc.. Products Portfolio

Table 77: Fizyr B.V. Basic Information And Sales Area

Table 78: Fizyr B.V.. Products Portfolio

Table 79: Mujin Inc. Basic Information And Sales Area

Table 80: Mujin Inc.. Products Portfolio

Table 81: Nimble Robotics Inc. Basic Information And Sales Area

Table 82: Nimble Robotics Inc.. Products Portfolio

Table 83: Swisslog Basic Information And Sales Area

Table 84: Swisslog. Products Portfolio

Table 85: Karakuri Basic Information And Sales Area

Table 86: Karakuri. Products Portfolio

Table 87: Osaro Basic Information And Sales Area

Table 88: Osaro. Products Portfolio

Table 89: Covariant Basic Information And Sales Area

Table 90: Covariant. Products Portfolio

Table 91: SSI Schaefer Basic Information And Sales Area

Table 92: SSI Schaefer. Products Portfolio

Table 93: Global Market Value (USD Million) (2025-2032) By Application

Table 94: Global Market Share (%) By Application (2032)

Table 95: Global Market Value (USD Million) (2025-2032) By Type

Table 96: Global Market Share (%) By Type (2032)

Table 97: Global Market Volume (K) (2025-2032) By Application

Table 98: Global Market Share (%) By Application (2032)

Table 99: Global Market Volume (K) (2025-2032) By Type

Table 100: Global Market Share (%) By Type (2032)

Table 101: Global Robotic Piece Picking Market Value (USD Million) By Region

Table 102: Global Robotic Piece Picking Market Share (%) By Region (2025-2032)

Table 103: North America Market Value (USD Million) (2025-2032) By Country

Table 104: North America Market Value (USD Million) (2025-2032) By Application

Table 105: North America Market Value (USD Million) (2025-2032) By Type

Table 106: Europe Market Value (USD Million) (2025-2032) By Country

Table 107: Europe Market Value (USD Million) (2025-2032) By Application

Table 108: Europe Market Value (USD Million) (2025-2032) By Type

Table 109: Asia Pacific Market Value (USD Million) (2025-2032) By Country

Table 110: Asia Pacific Market Value (USD Million) (2025-2032) By Application

Table 111: Asia Pacific Market Value (USD Million) (2025-2032) By Type

Table 112: South America Market Value (USD Million) (2025-2032) By Country

Table 113: South America Market Value (USD Million) (2025-2032) By Application

Table 114: South America Market Value (USD Million) (2025-2032) By Type

Table 115: Middle East & Africa Market Value (USD Million) (2025-2032) By Country

Table 116: Middle East & Africa Market Value (USD Million) (2025-2032) By Application

Table 117: Middle East & Africa Market Value (USD Million) (2025-2032) By Type

Table 118: Global Robotic Piece Picking Market Volume (K) By Region

Table 119: Global Robotic Piece Picking Market Share (%) By Region (2025-2032)

Table 120: North America Market Volume (K) (2025-2032) By Country

Table 121: North America Market Volume (K) (2025-2032) By Application

Table 122: North America Market Volume (K) (2025-2032) By Type

Table 123: Europe Market Volume (K) (2025-2032) By Country

Table 124: Europe Market Volume (K) (2025-2032) By Application

Table 125: Europe Market Volume (K) (2025-2032) By Type

Table 126: Asia Pacific Market Volume (K) (2025-2032) By Country

Table 127: Asia Pacific Market Volume (K) (2025-2032) By Application

Table 128: Asia Pacific Market Volume (K) (2025-2032) By Type

Table 129: South America Market Volume (K) (2025-2032) By Country

Table 130: South America Market Volume (K) (2025-2032) By Application

Table 131: South America Market Volume (K) (2025-2032) By Type

Table 132: Middle East & Africa Market Volume (K) (2025-2032) By Country

Table 133: Middle East & Africa Market Volume (K) (2025-2032) By Application

Table 134: Middle East & Africa Market Volume (K) (2025-2032) By Type

Table 135: Research Programs/Design For This Report

Table 136: Key Data Information From Secondary Sources

Table 137: Key Data Information From Primary Sources

FAQs

1. What is the current Robotic Piece Picking market size?

The Robotic Piece Picking market size was estimated at roughly USD 1.3 billion in 2023, reflecting strong uptake in e‑commerce fulfillment and automotive assembly. This baseline provides a reference point for assessing growth trajectories and investment potential.

2. How is the market expected to grow over the forecast period?

Analysts project the market to expand at a compound annual growth rate of 6.2 % between 2024 and 2032, reaching close to USD 2.4 billion by the forecast horizon. The future outlook is bolstered by rising labor cost pressures, consumer expectations for faster delivery, and deeper integration of smart‑factory technologies.

3. What are the primary drivers behind adoption of robotic piece picking solutions?

Key drivers include the need for higher throughput in high‑mix, low‑volume production, shrinking labor availability, and the cost advantages of replacing manual pick stations with flexible robots. Additionally, advances in machine‑learning vision systems improve accuracy, making adoption more compelling.

4. What challenges could impede market expansion?

Challenges stem from high upfront capital expenditure, integration complexity with legacy warehouse management systems, and concerns over safety certification in collaborative environments. Moreover, variability in part geometry can strain sensor performance, requiring extensive tuning and increasing implementation timelines.

5. Which regions are leading the market in revenue and deployment?

North America leads in revenue, driven by mature e‑commerce logistics networks, while Europe shows strong growth in automotive and electronics sectors. Asia‑Pacific is emerging fastest, propelled by large‑scale manufacturing hubs in China, Japan, and South Korea adopting piece‑picking robots.

6. Who are the top companies competing in this space?

The top players include ABB, FANUC, KUKA, Yaskawa Motoman, and Universal Robots, each offering modular end‑effectors and AI‑enhanced vision. Emerging challengers such as Berkshire Grey and Covariant focus on software‑centric solutions that differentiate through learning‑based picking algorithms.

7. What future opportunities are emerging for vendors and end‑users?

Future opportunities arise in sectors like pharmaceuticals, where sterile piece picking is critical, and in circular economy initiatives that require automated sorting of recyclable components. Service‑based business models and pay‑per‑use contracts also open new revenue streams for vendors.

8. How are AI, vision, and other technologies impacting the market?

AI, deep‑learning vision, and edge computing are reshaping the Robotic Piece Picking market by enabling real‑time defect detection and adaptive grasp strategies. These technologies reduce cycle times, improve yield, and expand applicability to unstructured environments, accelerating overall market adoption.

9. What regulatory considerations affect deployment of robotic piece picking systems?

Regulatory considerations focus on machine‑safety standards such as ISO 10218 and collaborative robot guidelines under ISO/TS 15066. Data privacy rules also affect vision‑system analytics, while trade policies influence component sourcing, making compliance a strategic factor for market entrants.

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Robotic Piece Picking Growth Analysis & Future Outlook 2033

Market Snapshot

Robotic Piece Picking Market Overview

Report Overview

Market Dynamics

Market Segmentation

Regional Insights

Competitive Landscape

Market Ecosystem

Recent Industry Insights

Analyst Overview

Robotic Piece Picking Segmentation

Robotic Piece Picking Segmentation by Geography

Table of Contents

Table of Contents

List of Figures

List of Tables

FAQs

1. What is the current Robotic Piece Picking market size?

2. How is the market expected to grow over the forecast period?

3. What are the primary drivers behind adoption of robotic piece picking solutions?

4. What challenges could impede market expansion?

5. Which regions are leading the market in revenue and deployment?

6. Who are the top companies competing in this space?

7. What future opportunities are emerging for vendors and end‑users?

8. How are AI, vision, and other technologies impacting the market?

9. What regulatory considerations affect deployment of robotic piece picking systems?

Methodology

Step 1 - Selecting Representative Samples from the Population

Step 2 - Methods for Estimating Market Size (Value, Volume & Price*)

Step 3 - Information Sources

📘 Direct Research

📚 Indirect Research

Step 4 - Data Validation & Triangulation

Market Snapshot

Robotic Piece Picking Market Overview

Report Overview

Market Dynamics

Market Segmentation

Regional Insights

Competitive Landscape

Market Ecosystem

Recent Industry Insights

Analyst Overview

Robotic Piece Picking Segmentation

Robotic Piece Picking Segmentation by Geography

Table of Contents

Table of Contents

List of Figures

List of Tables

FAQs

1. What is the current Robotic Piece Picking market size?

2. How is the market expected to grow over the forecast period?

3. What are the primary drivers behind adoption of robotic piece picking solutions?

4. What challenges could impede market expansion?

5. Which regions are leading the market in revenue and deployment?

6. Who are the top companies competing in this space?

7. What future opportunities are emerging for vendors and end‑users?

8. How are AI, vision, and other technologies impacting the market?

9. What regulatory considerations affect deployment of robotic piece picking systems?

Methodology

Step 1 - Selecting Representative Samples from the Population

Step 2 - Methods for Estimating Market Size (Value, Volume & Price*)

Step 3 - Information Sources

📘 Direct Research

📚 Indirect Research

Step 4 - Data Validation & Triangulation