Global DWS Systems for Logistics Market Strategic Research Report
By Type: Static DWS Systems, Dynamic DWS Systems
By Application: Parcel, Express and Postal Services, Freight Transportation and Forwarding, Third-Party Logistics, Manufacturing and Industrial Logistics, Others
Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America
Key Players: Mettler Toledo, SICK, Datalogic, VITRONIC, Wipotec, Rice Lake Weighing Systems, Bizerba, Cubiscan, Falcon Autotech, Atrax Group, Isitec International, FreightSnap, vMeasure, Kinematik, ATMOS Systems, Wayzim, KENGIC, Damon Technology, SNBC, SENAD, GOSUNM, DataTrack Automation, Guanchao, HSJ, Mohisttech
Overview
Scope of the Report
The global DWS Systems for Logistics market size is predicted to grow from US$ 670 million in 2025 to US$ 1,136 million in 2032; it is expected to grow at a CAGR of 7.8% from 2026 to 2032.
DWS Systems for Logistics are integrated measurement and identification systems used in logistics, warehousing, and freight operations to automatically capture, associate, and transmit shipment dimensions, volume, actual weight, and identity information. These systems typically combine three-dimensional dimensioning sensors, weighing modules, barcode or two-dimensional code readers, object detection and triggering components, conveyor or operating platforms, control software, and data communication interfaces. Depending on their configuration, they measure parcels, cartons, polybags, pallets, and other regular or irregular freight either statically or in motion, simultaneously capturing length, width, height, volume, weight, and shipment identification data and linking the results to each individual freight item. The resulting data are transmitted to warehouse management, transportation management, enterprise resource planning, freight billing, automated sortation, and track-and-trace systems to support freight rating, dimensional-weight calculation, receiving and dispatch verification, automated sorting, storage-space planning, packaging and load optimization, and shipment traceability.
Key Findings
Global DWS Systems for Logistics shipments are estimated at approximately 26,000 units in 2025
The weighted average selling price is estimated at approximately US$25,000 per unit in 2025
Asia-Pacific is the largest demand region, supported by high parcel volumes and logistics automation investment
Static systems lead unit shipments, while higher-value dynamic systems contribute the largest revenue share
Parcel and postal operators represent the largest end-user segment
Market Trends
DWS Systems for Logistics are evolving from separate dimensioners, scales and handheld readers toward integrated data-capture platforms that perform dimensioning, weighing, code reading, image recording and shipment verification in one operating cycle. Dynamic systems increasingly combine stereo or time-of-flight cameras, laser scanners, multi-sided barcode imaging, optical character recognition and high-speed weighing to handle parcels with limited orientation control. Artificial intelligence is being introduced for damaged-label recognition, object classification, side-by-side parcel detection, irregular-freight analysis and measurement-quality monitoring. Static systems are also becoming faster, more compact and easier to connect to packaging stations, receiving areas and warehouse master-data workflows. Legal-for-trade capability, automatic calibration verification, image archiving and direct integration with WMS, TMS, ERP and carrier platforms are becoming important purchasing criteria. Modular configurations that can be installed above existing conveyors, scales, stretch wrappers or workstations are gaining importance because customers increasingly prefer targeted automation upgrades over complete line replacement.
Market Dynamics
Drivers
Market demand is primarily driven by continued growth in parcel handling, e-commerce fulfillment, air cargo and automated warehouse operations. China processed approximately 198.95 billion express parcels in 2025, while United States retail e-commerce sales continued to expand and global air cargo demand reached a record annual level. Higher shipment volumes increase the cost of manual measurement and create stronger requirements for automated data capture, sorting and billing accuracy. Wider use of dimensional-weight pricing also encourages carriers and freight handlers to measure both occupied space and actual weight, while shippers deploy DWS equipment to reduce carrier adjustments and improve packaging efficiency. The need to connect physical freight characteristics with digital shipment records provides an additional structural driver for DWS deployment.
Restraints
The principal restraint is the wide gap between the cost of entry-level static equipment and fully integrated dynamic or pallet systems. Standard static parcel units can be purchased for several thousand dollars, while certified pallet systems, in-motion installations and multi-sensor conveyor solutions can cost several tens of thousands of dollars before installation, software customization and conveyor modifications. Small warehouses with limited shipment volumes may therefore continue to rely on manual measurement or basic dimensioning tools. Integration can also be complicated by legacy WMS and TMS environments, inconsistent barcode standards and local legal-metrology requirements. Systems used for commercial freight billing require approved measurement chains, calibration procedures and configuration-specific certification, increasing deployment time and lifecycle service requirements.
Opportunities
Major opportunities are emerging in palletized freight, irregular-item processing, warehouse receiving and outbound verification. Freight forwarders, less-than-truckload carriers, airports and industrial shippers still perform a substantial portion of pallet measurement manually, creating room for static gantry, stop-and-go and in-motion pallet systems. Three-dimensional vision and point-cloud analysis also extend automated measurement to black-wrapped, protruding, deformable and non-cuboidal freight. In warehouses, DWS data can increasingly support cartonization, storage-slot allocation, automated packaging, load planning and product master-data management rather than being used only for freight billing. Compact plug-and-play systems combining DWS and basic sorting functions offer an additional opportunity among regional couriers, cross-border fulfillment operators and small distribution centers that cannot justify large automated sortation projects.
Challenges
Technical performance must remain stable across cartons, polybags, tubes, flats, irregular parcels, dark wrapping materials and freight with protrusions or damaged labels. High conveyor speeds, minimal parcel gaps, overlapping objects and unstable package orientation can reduce weighing accuracy or first-time barcode read rates. Suppliers must balance measurement precision, throughput and legal-for-trade compliance while maintaining simple calibration and low downtime. Project economics are also sensitive to installation conditions because conveyor vibration, lighting, surrounding structures, scale configuration and software interfaces can affect final performance. Regulatory changes affecting customs, postal flows, freight classification and dimensional-weight rules may accelerate demand but can also require software, certification and workflow updates. A fragmented international service network remains a competitive challenge for smaller suppliers serving multinational logistics customers.
Industry Chain Analysis
The upstream industry includes laser scanners, ultrasonic sensors, structured-light and time-of-flight cameras, industrial image sensors, barcode readers, load cells, weighing controllers, conveyor components, industrial computers, lighting units and communication hardware. Measurement algorithms, barcode-decoding software, optical character recognition, point-cloud processing and legal-metrology software form the core digital inputs. Midstream suppliers design complete static workstations, dynamic conveyor modules, pallet gantries and shipment-capture systems, combining proprietary hardware and software with third-party scales, sensors or conveyors where required. Value is created through measurement accuracy, high-speed synchronization, multi-sided identification, certification, data integration and application engineering rather than through mechanical assembly alone. Downstream customers include parcel and postal operators, freight carriers and cargo terminals, third-party logistics providers, freight forwarders, retailers, e-commerce companies and manufacturers. Installation, calibration, software integration, maintenance and recurring technical support represent important aftermarket activities, particularly for certified and high-throughput systems.
Segment Insights
By operating mode, Static DWS Systems account for the majority of unit shipments and are primarily used in parcel workstations, SKU master-data capture, receiving and dispatch verification, and pallet measurement. These systems offer flexible installation, straightforward operation, and relatively low initial investment. Dynamic DWS Systems are mainly installed on conveyor lines and automated sortation systems, where they perform dimensioning, weighing, scanning, and data association while freight remains in continuous motion. Because Dynamic DWS Systems typically integrate dynamic scales, conveyor controls, multi-sided code reading, high-speed dimensioning, and line-control software, they generally have higher system complexity, processing capacity, and average selling prices than Static DWS Systems, resulting in a revenue share that is typically higher than their shipment share.
By dimensioning technology, DWS Systems for Logistics are classified into Ultrasonic Dimensioning Systems, Optical Light-array Dimensioning Systems, Laser Scanning Dimensioning Systems, and Others. Ultrasonic Dimensioning Systems are based on mature technology and are mainly used for regular cartons, parcels, and static measurement applications. Optical Light-array Dimensioning Systems provide relatively high dimensional resolution and are suitable for small items, polybags, and irregular SKU data capture. Laser Scanning Dimensioning Systems offer broad measurement ranges and strong dynamic profile-capture capabilities, supporting extensive use on high-speed conveyor lines and in pallet and bulky-freight measurement. Others mainly include DWS systems using stereo vision, structured light, time-of-flight cameras, and multi-sensor fusion technologies, enabling three-dimensional freight profiling, irregular-shape measurement, shipment image capture, and improved automated recognition of complex freight.
Downstream Market Opportunities
Parcel, Express and Postal Services represent the largest application area for DWS Systems for Logistics. The equipment is widely deployed across acceptance, transfer, and distribution operations for parcel dimensioning, dynamic weighing, shipping-label identification, dimensional-weight billing, automated sortation, and shipment tracking. Freight Transportation and Forwarding generate strong demand for pallet, bulky-freight, and legal-for-trade DWS systems, primarily supporting freight quotation, chargeable-weight calculation, consolidation and loading, transportation planning, and cargo handover verification. Third-Party Logistics providers use DWS systems for customer-freight receiving, warehouse data capture, fulfillment processing, service billing, and outbound verification, improving data accuracy across multi-customer and multi-product logistics operations. Demand from Manufacturing and Industrial Logistics mainly arises from component warehouses, finished-goods warehouses, packing stations, and shipping departments, where the systems support material master-data management, slotting, packaging optimization, palletization, and transportation-cost control. Other applications include government supplies, medical distribution, military and emergency logistics, and professional metrology and testing operations.
Regional Insights
This report assesses Asia-Pacific as the largest market by unit demand, supported by very high parcel volumes, continuing expansion of e-commerce logistics and a substantial domestic supplier base in China and India. China alone handled nearly 199 billion express parcels in 2025 and continues to invest in high-throughput sorting, multi-sided scanning and automated data-capture equipment. North America remains a major high-value market, particularly for parcel shipping, less-than-truckload freight, pallet dimensioning and legal-for-trade systems; continued growth in United States e-commerce supports warehouse and shipping-station investment. Europe has a mature installed base in postal, express, airport and distribution-center automation, with strong demand for certified measurement, system retrofits and energy-efficient operations. Southeast Asia, the Middle East and Latin America offer longer-term expansion potential as regional parcel networks, airports and third-party logistics infrastructure become more automated.
Competitive Landscape Analysis
The global DWS Systems for Logistics market comprises diversified measurement and sensor groups, specialized DWS manufacturers, and logistics automation system providers, with the overall competitive landscape remaining relatively fragmented. Mettler Toledo, SICK, Datalogic, VITRONIC, and Wipotec maintain strong comprehensive capabilities in dynamic weighing, dimensioning, automatic identification, legal metrology, and high-throughput logistics applications, while Rice Lake Weighing Systems and Cubiscan hold specialized positions in static dimensioning, pallet measurement, and warehouse data capture. Chinese companies including Wayzim, KENGIC, and Damon Technology are expanding their market presence in dynamic DWS, multi-sided code reading, and compact sortation applications through logistics automation project experience, cost control, and customization capabilities. Competition primarily centers on measurement accuracy, processing throughput, barcode read rates, irregular-freight handling, metrology certification, software integration, service networks, and total project cost. International suppliers retain advantages in core sensing technologies, legal metrology, and global service coverage, while Chinese and other regional companies differentiate themselves through faster delivery, flexible configuration, and lower integration costs.
This report presents a comprehensive overview of the global DWS Systems for Logistics market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.
Segment by Type
- Static DWS Systems
- Dynamic DWS Systems
Segment by Dimensioning Technology
- Ultrasonic Dimensioning Systems
- Optical Light-array Dimensioning Systems
- Laser Scanning Dimensioning Systems
- Others
Segment by Application
- Parcel, Express and Postal Services
- Freight Transportation and Forwarding
- Third-Party Logistics
- Manufacturing and Industrial Logistics
- Others
Who Can Use This Report?
This report is written for decision-makers who need a clear, data-backed view of the global DWS Systems for Logistics market:
- Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
- Distributors, channel partners and end users in Parcel, Express and Postal Services, Freight Transportation and Forwarding, Third-Party Logistics evaluating demand and sourcing options
- Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
- Government agencies, industry associations and research institutions tracking industry developments and policy impact
Market snapshot
Global DWS Systems for Logistics Market Strategic Research Report snapshot, 2025–2032
© MarketResearchReports.comDisclaimer: The actual data may vary in the final report which undergoes verification check post order confirmation.Segments covered in this report
Table of contents
01Executive Summary
02Industry Overview & Forecast
- 2.1.1 Market Definition and Scope
- 2.1.2 Market Size and Growth Forecast
- 2.1.3 Volume Analysis
- 2.1.4 Segment Outlook by Type
- 2.1.5 Segment Outlook by Application
- 2.1.6 Regional Outlook
- 2.1.7 Structural Developments Shaping the Forecast
- 2.1.8 Forecast Risks and Sensitivities
03Market Segmentation by Type
- 3.1 Market Segmentation by Type
- 3.1.1 Market by Type Overview
- 3.1.2 Static DWS Systems
- 3.1.3 Dynamic DWS Systems
- 3.1.4 Volume Analysis
04Market Segmentation by Application
- 4.1 Market Segmentation by Application
- 4.1.1 Market by Application Overview
- 4.1.2 Parcel, Express and Postal Services
- 4.1.3 Freight Transportation and Forwarding
- 4.1.4 Third-Party Logistics
- 4.1.5 Manufacturing and Industrial Logistics
- 4.1.6 Others
- 4.1.7 Volume Analysis
05Regional Market Forecast
- Asia Pacific
- North America
- Europe
- Middle East & Africa
- Latin America
06Country-Level Market Forecast
- 6.1 Asia Pacific
- 6.1.1 China
- 6.1.2 Japan
- 6.1.3 Korea
- 6.1.4 Southeast Asia
- 6.1.5 India
- 6.1.6 Australia
- 6.1.7 Rest of Asia Pacific
- 6.2 North America
- 6.2.1 United States
- 6.2.2 Canada
- 6.2.3 Mexico
- 6.2.4 Rest of North America
- 6.3 Europe
- 6.3.1 Germany
- 6.3.2 France
- 6.3.3 UK
- 6.3.4 Italy
- 6.3.5 Russia
- 6.3.6 Rest of Europe
- 6.4 Middle East & Africa
- 6.4.1 Egypt
- 6.4.2 South Africa
- 6.4.3 Israel
- 6.4.4 Turkey
- 6.4.5 GCC Countries
- 6.4.6 Rest of Middle East & Africa
- 6.5 Latin America
- 6.5.1 Brazil
- 6.5.2 Rest of Latin America
07Growth Drivers & Inhibitors
- 7.1 Growth Drivers & Inhibitors
- 7.1.1 Section Overview
- 7.1.2 Growth Drivers
- 7.1.3 Growth Inhibitors
- 7.1.4 Driver and Inhibitor Impact Assessment
- 7.1.5 Analyst Perspective
08Key Company Profiles
- 8.1 Mettler Toledo
- 8.1.1 Company Overview
- 8.1.2 Key Products & Segments
- 8.1.3 Financial Performance (2023–2025)
- 8.1.4 Business Strategy
- 8.1.5 SWOT Analysis
- 8.1.6 Strategic Implications (2026–2032)
- 8.2 SICK
- 8.2.1 Company Overview
- 8.2.2 Key Products & Segments
- 8.2.3 Financial Performance (2023–2025)
- 8.2.4 Business Strategy
- 8.2.5 SWOT Analysis
- 8.2.6 Strategic Implications (2026–2032)
- 8.3 Datalogic
- 8.3.1 Company Overview
- 8.3.2 Key Products & Segments
- 8.3.3 Financial Performance (2023–2025)
- 8.3.4 Business Strategy
- 8.3.5 SWOT Analysis
- 8.3.6 Strategic Implications (2026–2032)
- 8.4 VITRONIC
- 8.4.1 Company Overview
- 8.4.2 Key Products & Segments
- 8.4.3 Financial Performance (2023–2025)
- 8.4.4 Business Strategy
- 8.4.5 SWOT Analysis
- 8.4.6 Strategic Implications (2026–2032)
- 8.5 Wipotec
- 8.5.1 Company Overview
- 8.5.2 Key Products & Segments
- 8.5.3 Financial Performance (2023–2025)
- 8.5.4 Business Strategy
- 8.5.5 SWOT Analysis
- 8.5.6 Strategic Implications (2026–2032)
- 8.6 Rice Lake Weighing Systems
- 8.6.1 Company Overview
- 8.6.2 Key Products & Segments
- 8.6.3 Financial Performance (2023–2025)
- 8.6.4 Business Strategy
- 8.6.5 SWOT Analysis
- 8.6.6 Strategic Implications (2026–2032)
- 8.7 Bizerba
- 8.7.1 Company Overview
- 8.7.2 Key Products & Segments
- 8.7.3 Financial Performance (2023–2025)
- 8.7.4 Business Strategy
- 8.7.5 SWOT Analysis
- 8.7.6 Strategic Implications (2026–2032)
- 8.8 Cubiscan
- 8.8.1 Company Overview
- 8.8.2 Key Products & Segments
- 8.8.3 Financial Performance (2023–2025)
- 8.8.4 Business Strategy
- 8.8.5 SWOT Analysis
- 8.8.6 Strategic Implications (2026–2032)
- 8.9 Falcon Autotech
- 8.9.1 Company Overview
- 8.9.2 Key Products & Segments
- 8.9.3 Financial Performance (2023–2025)
- 8.9.4 Business Strategy
- 8.9.5 SWOT Analysis
- 8.9.6 Strategic Implications (2026–2032)
- 8.10 Atrax Group
- 8.10.1 Company Overview
- 8.10.2 Key Products & Segments
- 8.10.3 Financial Performance (2023–2025)
- 8.10.4 Business Strategy
- 8.10.5 SWOT Analysis
- 8.10.6 Strategic Implications (2026–2032)
- 8.11 Isitec International
- 8.11.1 Company Overview
- 8.11.2 Key Products & Segments
- 8.11.3 Financial Performance (2023–2025)
- 8.11.4 Business Strategy
- 8.11.5 SWOT Analysis
- 8.11.6 Strategic Implications (2026–2032)
- 8.12 FreightSnap
- 8.12.1 Company Overview
- 8.12.2 Key Products & Segments
- 8.12.3 Financial Performance (2023–2025)
- 8.12.4 Business Strategy
- 8.12.5 SWOT Analysis
- 8.12.6 Strategic Implications (2026–2032)
- 8.13 vMeasure
- 8.13.1 Company Overview
- 8.13.2 Key Products & Segments
- 8.13.3 Financial Performance (2023–2025)
- 8.13.4 Business Strategy
- 8.13.5 SWOT Analysis
- 8.13.6 Strategic Implications (2026–2032)
- 8.14 Kinematik
- 8.14.1 Company Overview
- 8.14.2 Key Products & Segments
- 8.14.3 Financial Performance (2023–2025)
- 8.14.4 Business Strategy
- 8.14.5 SWOT Analysis
- 8.14.6 Strategic Implications (2026–2032)
- 8.15 ATMOS Systems
- 8.15.1 Company Overview
- 8.15.2 Key Products & Segments
- 8.15.3 Financial Performance (2023–2025)
- 8.15.4 Business Strategy
- 8.15.5 SWOT Analysis
- 8.15.6 Strategic Implications (2026–2032)
- 8.16 Wayzim
- 8.16.1 Company Overview
- 8.16.2 Key Products & Segments
- 8.16.3 Financial Performance (2023–2025)
- 8.16.4 Business Strategy
- 8.16.5 SWOT Analysis
- 8.16.6 Strategic Implications (2026–2032)
- 8.17 KENGIC
- 8.17.1 Company Overview
- 8.17.2 Key Products & Segments
- 8.17.3 Financial Performance (2023–2025)
- 8.17.4 Business Strategy
- 8.17.5 SWOT Analysis
- 8.17.6 Strategic Implications (2026–2032)
- 8.18 Damon Technology
- 8.18.1 Company Overview
- 8.18.2 Key Products & Segments
- 8.18.3 Financial Performance (2023–2025)
- 8.18.4 Business Strategy
- 8.18.5 SWOT Analysis
- 8.18.6 Strategic Implications (2026–2032)
- 8.19 SNBC
- 8.19.1 Company Overview
- 8.19.2 Key Products & Segments
- 8.19.3 Financial Performance (2023–2025)
- 8.19.4 Business Strategy
- 8.19.5 SWOT Analysis
- 8.19.6 Strategic Implications (2026–2032)
- 8.20 SENAD
- 8.20.1 Company Overview
- 8.20.2 Key Products & Segments
- 8.20.3 Financial Performance (2023–2025)
- 8.20.4 Business Strategy
- 8.20.5 SWOT Analysis
- 8.20.6 Strategic Implications (2026–2032)
- 8.21 GOSUNM
- 8.21.1 Company Overview
- 8.21.2 Key Products & Segments
- 8.21.3 Financial Performance (2023–2025)
- 8.21.4 Business Strategy
- 8.21.5 SWOT Analysis
- 8.21.6 Strategic Implications (2026–2032)
- 8.22 DataTrack Automation
- 8.22.1 Company Overview
- 8.22.2 Key Products & Segments
- 8.22.3 Financial Performance (2023–2025)
- 8.22.4 Business Strategy
- 8.22.5 SWOT Analysis
- 8.22.6 Strategic Implications (2026–2032)
- 8.23 Guanchao
- 8.23.1 Company Overview
- 8.23.2 Key Products & Segments
- 8.23.3 Financial Performance (2023–2025)
- 8.23.4 Business Strategy
- 8.23.5 SWOT Analysis
- 8.23.6 Strategic Implications (2026–2032)
- 8.24 HSJ
- 8.24.1 Company Overview
- 8.24.2 Key Products & Segments
- 8.24.3 Financial Performance (2023–2025)
- 8.24.4 Business Strategy
- 8.24.5 SWOT Analysis
- 8.24.6 Strategic Implications (2026–2032)
- 8.25 Mohisttech
- 8.25.1 Company Overview
- 8.25.2 Key Products & Segments
- 8.25.3 Financial Performance (2023–2025)
- 8.25.4 Business Strategy
- 8.25.5 SWOT Analysis
- 8.25.6 Strategic Implications (2026–2032)
09Competitive Landscape
- 9.1 Competitive Landscape Overview
- 9.2 Competitive Intensity Assessment
- 9.3 Key Player Strategies & Positioning
- 9.4 Competitive Dynamics & Strategic Outlook
- 9.4.1 Emerging Competitive Threats
- 9.4.2 Consolidation vs. Fragmentation Outlook
- 9.4.3 Competitive Response Matrix
- 9.4.4 Strategic Recommendations, 2026–2032
10Porter's Five Forces Analysis
- 10.1 Threat of New Entrants
- 10.2 Bargaining Power of Buyers
- 10.3 Bargaining Power of Suppliers
- 10.4 Threat of Substitutes
- 10.5 Competitive Rivalry
11PESTLE Analysis
- 11.1 Political
- 11.2 Economic
- 11.3 Social and Demographic
- 11.4 Technological
- 11.5 Legal and Regulatory
- 11.6 Environmental
- 11.7 Strategic Implications of the PESTLE Assessment
12SWOT Analysis
13Future Trends & Outlook
- 13.1 Future Trends & Outlook
- 13.1.1 Trend Summary and Commercial Maturity Assessment
- 13.1.2 Technology and Innovation Trends
- 13.1.3 Long-Term Market Outlook
- 13.1.4 Investment & M&A Activity Outlook
- 13.1.5 Overall Outlook Assessment
Frequently asked questions
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Research Methodology
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Systematic collection from 500+ verified sources including SEC filings, industry databases (Bloomberg, Statista, OECD), regulatory filings, trade publications, patent databases, and company annual reports. AI-assisted extraction identifies relevant data points across 10,000+ documents per report.
Dual-validation approach: bottom-up sizing aggregates segment-level production, consumption, and trade data; top-down sizing cross-validates against macroeconomic indicators and total addressable market estimates. Discrepancies >5% trigger analyst review.
Company profiles built from public financial disclosures, product launches, M&A activity, job postings (as capability proxies), and supply chain mapping. Market share estimates triangulated across revenue, capacity, and shipment data.
CAGR projections use time-series regression on 5-10 years of historical data, adjusted for identified demand drivers (technology adoption curves, regulatory catalysts, demographic shifts) and demand inhibitors (cost barriers, substitution risk). Scenario modeling covers base, optimistic, and conservative cases.
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