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Planetary Stranding Machine Market - Global Forecast 2026-2032

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    Report

  • 190 Pages
  • January 2026
  • Region: Global
  • 360iResearch™
  • ID: 6126751
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The Planetary Stranding Machine Market grew from USD 574.12 million in 2025 to USD 629.13 million in 2026. It is expected to continue growing at a CAGR of 10.06%, reaching USD 1.12 billion by 2032.

Why planetary stranding machines have become a strategic production asset as electrification, quality audits, and process traceability intensify

Planetary stranding machines sit at the center of modern wire and cable manufacturing because they translate metallurgical performance into repeatable electrical and mechanical outcomes. By twisting multiple wires into stable strands with controlled lay length, tension, and compactness, these machines enable conductors that can survive bending, vibration, and thermal cycling while maintaining conductivity and dimensional uniformity. As electrification accelerates across transport, renewable energy, data infrastructure, and industrial automation, the tolerance for variability in conductor construction continues to shrink, making stranding technology a defining competitive lever rather than a background process.

In parallel, customer requirements are becoming more specific and more auditable. Buyers increasingly demand documented process capability, traceability, and compliance-ready documentation, particularly when stranded conductors are destined for safety-critical environments such as aircraft, rail systems, medical equipment, defense platforms, and high-voltage installations. Planetary stranding machines are therefore being evaluated not only on throughput, but also on how well they manage tension harmonization, back-twist control, payoff and take-up stability, and in-line monitoring that reduces scrap and rework.

This executive summary frames the market through the operational decisions manufacturers face right now: how to modernize legacy lines without compromising uptime, how to choose automation levels that match workforce realities, how to secure spare parts and service response in a more volatile trade environment, and how to build resilience into sourcing and qualification plans. The discussion emphasizes how technology choices, regulatory pressure, and supply chain constraints are reshaping investment priorities and the competitive landscape for both equipment suppliers and end users.

How control-centric engineering, practical digitalization, selective automation, and supply-chain resilience are reshaping planetary stranding machine choices

The planetary stranding machine landscape is undergoing a set of shifts that are both technical and organizational. First, the value proposition is moving from “mechanical capability” to “controlled outcomes.” Equipment decisions increasingly hinge on the ability to hold lay length and tension within narrow windows across long production runs, especially when processing finer gauges, multi-wire constructions, or mixed-material designs. This has pushed machine builders to enhance closed-loop control, improve dancer and capstan control logic, and design more stable rotating systems that reduce torsional oscillations and vibration.

Second, digitalization is moving from optional to expected, but it is being deployed with a more practical mindset than in prior cycles. Manufacturers want recipes that are portable across lines and plants, permissioned access for parameter changes, alarms that are actionable rather than noisy, and data that supports root-cause analysis when defects occur. As a result, human-machine interfaces are being redesigned for faster changeovers, clearer parameter governance, and easier troubleshooting. Remote service capabilities, including secure diagnostics and guided maintenance workflows, are gaining traction because they reduce mean time to repair and limit downtime associated with specialist travel.

Third, automation is becoming more nuanced. Instead of a binary choice between manual and fully automated, end users are selectively automating the highest-variance tasks: spool handling, payoff replenishment, tension setpoint verification, and in-line measurement. This is particularly evident in facilities where labor availability is tight and training cycles are long. At the same time, manufacturers are balancing automation with maintainability, insisting that added sensors and actuators come with robust calibration practices, readily available spares, and clear failure-mode planning.

Fourth, energy efficiency and environmental compliance are influencing machine selection in a more explicit way. Drive efficiency, regenerative braking where applicable, lubrication management, noise reduction, and reduced scrap generation are being tracked as part of broader sustainability programs. These factors matter not only for corporate goals but also for permitting, workplace safety, and total operating cost. Consequently, machine designs that reduce friction losses, improve bearing life, and stabilize thermal behavior are gaining preference.

Finally, supply chain risk is reshaping procurement behavior. Buyers are increasingly qualifying alternative suppliers, standardizing critical components, and negotiating service-level agreements that guarantee parts availability. Equipment vendors are responding by regionalizing service footprints, redesigning around more readily available components, and offering modular options that reduce lead times. In combination, these shifts are creating a market where performance is defined by repeatability, diagnosability, and resilience as much as by mechanical output.

What the cumulative 2025 U.S. tariff environment means for landed cost, parts availability, supplier strategy, and qualification cycles in stranding operations

The cumulative impact of United States tariffs in 2025 is best understood as a compounding operational constraint rather than a single pricing event. Tariffs can affect planetary stranding machines directly when complete systems are imported, but the more persistent effect often flows through subassemblies and industrial components such as motors, drives, precision bearings, gearboxes, control cabinets, sensors, and machined parts. Even when final assembly occurs domestically or in tariff-neutral locations, exposed content in the bill of materials can elevate landed cost, extend lead times, and complicate service logistics.

One immediate consequence is a reassessment of sourcing strategies for both original equipment and spare parts. Manufacturers that previously optimized for lowest upfront price are placing greater emphasis on continuity of supply and the ability to support installed machines over long operating lifetimes. Tariff-driven uncertainty can push organizations to lock in framework agreements, increase safety stock for critical wear components, and standardize on fewer machine platforms to simplify parts inventory. However, these moves can also increase working capital requirements, which makes financial justification more complex and shifts internal conversations toward total cost of ownership.

Tariffs also influence where machine builders choose to manufacture, assemble, and warehouse. Some suppliers respond by expanding North American assembly, increasing local content, or shifting final configuration to U.S.-based facilities to reduce exposure and improve responsiveness. While these adaptations can stabilize supply, they may require design adjustments to accommodate different component sources. That, in turn, can trigger new qualification needs for end users, especially in regulated sectors where even small equipment changes can demand validation.

Another important effect is the redistribution of negotiation leverage across the value chain. Buyers may push for tariff-sharing clauses, price adjustment mechanisms, or guaranteed maximum escalation limits. Suppliers, facing their own cost volatility, may respond by tightening quote validity windows, changing payment terms, or prioritizing customers willing to commit earlier. As a result, purchasing timelines can compress, and cross-functional alignment between engineering, procurement, and finance becomes a differentiator.

Operationally, tariff pressure tends to accelerate modernization decisions when newer equipment offers measurable savings in scrap reduction, energy consumption, and uptime. Yet it can also delay purchases if stakeholders perceive macro uncertainty as too high. The net effect is a market environment where robust business cases rely on scenario planning: comparing sourcing pathways, evaluating the cost of downtime against the premium for local service, and assessing how quickly process improvements can offset higher acquisition costs.

Over time, the most strategic response is not merely to reroute procurement, but to harden the organization’s ability to qualify alternatives. That includes defining clear acceptance criteria for stranded conductor quality, specifying data requirements for process traceability, and building internal capabilities to validate machine performance quickly. In 2025, tariffs are therefore catalyzing a broader shift toward resilience-by-design in both equipment strategies and operating models.

What segmentation reveals about buyer priorities in planetary stranding machines as automation choices, application standards, and service models diverge

Segmentation insights for planetary stranding machines become most actionable when they are tied to the manufacturing outcomes each segment is trying to optimize. Across offerings that range from new equipment to aftermarket parts and long-term service, procurement criteria are diverging. Buyers of new equipment increasingly prioritize control stability, faster changeovers, and integration readiness, while buyers of parts and service prioritize response time, compatibility with legacy systems, and predictable maintenance planning. This is leading to more structured service contracts and a greater willingness to pay for uptime assurance when production schedules are tight.

From the perspective of machine configuration and operating principle, the segmentation reflects a balance between flexibility and specialization. Manufacturers producing varied conductor constructions lean toward configurations that support rapid recipe changes and stable tension across multiple wires, whereas high-volume producers with narrower product families often prefer optimized lines built for repeatability and speed. This difference is amplified by conductor complexity, where fine-wire applications and high strand counts typically demand more precise control and better vibration management to avoid surface damage and dimensional drift.

Automation-level segmentation further clarifies buyer behavior. Facilities facing labor constraints or stringent quality audits adopt higher automation in spool handling, tension management, and in-line monitoring to reduce operator-dependent variation. By contrast, plants with experienced operators and stable product mix may favor simpler systems that are easier to maintain, provided they can still meet modern traceability expectations. In practice, many buyers are choosing hybrid approaches, adding targeted sensors and controls to proven mechanical platforms rather than undertaking full automation in a single step.

Application-based segmentation is also tightening the link between end-market compliance and equipment selection. When stranded conductors serve power transmission, industrial machinery, building wire, automotive harnessing, rail, aerospace, or renewable energy installations, each application introduces different acceptance thresholds for concentricity, surface finish, and mechanical fatigue performance. These requirements shape choices around back-twist control, compaction capability, insulation handling where relevant, and inspection provisions. As a result, vendors that can translate application standards into measurable machine settings and verifiable outputs are better positioned in technical evaluations.

Finally, end-user segmentation underscores how investment cycles differ by organizational context. Vertically integrated manufacturers often standardize platforms across plants to simplify training and spares, while contract manufacturers may prioritize flexibility to win diverse programs. Small and mid-sized producers tend to adopt incremental upgrades that extend the life of existing lines, whereas large multi-site operators are more likely to implement standardized digital tooling and centralized process governance. These differences create multiple “decision logics” within the same market, making segmentation essential for aligning product strategy, pricing models, and service delivery.

How regional operating realities shape planetary stranding machine demand across the Americas, Europe, Middle East & Africa, and Asia-Pacific

Regional dynamics in planetary stranding machines are shaped by the intersection of electrification investment, industrial policy, and manufacturing footprint maturity. In the Americas, demand patterns are closely linked to grid modernization, transportation electrification, and reshoring or nearshoring strategies that prioritize reliable local service and parts availability. Plants in this region often focus on modernization of installed bases, adding controls and monitoring to improve yield while managing downtime risk. In addition, procurement teams are paying closer attention to tariff exposure, which elevates the value of domestic assembly, local warehousing, and field service depth.

In Europe, the market is strongly influenced by energy efficiency expectations, stringent workplace and product compliance norms, and a mature base of cable and specialty conductor manufacturing. Buyers often emphasize process stability, documentation quality, and the ability to support audited production environments. As manufacturing companies pursue sustainability targets, machine efficiency, scrap reduction, and noise control can weigh more heavily in tender decisions. Cross-border operations also make standardization attractive, encouraging platform approaches that allow consistent recipes and quality governance across multiple sites.

The Middle East and Africa present a different mix, where infrastructure buildouts, power projects, and industrial diversification can drive selective capacity additions. Buyers may prioritize robustness, maintainability, and supplier support models that work across long distances or in harsh operating conditions. Training, commissioning support, and the availability of technicians can be decisive, particularly for facilities building capabilities for the first time or scaling beyond pilot operations.

Asia-Pacific remains a major hub for both production and consumption of wire and cable, spanning high-volume commodity output and advanced manufacturing for electronics, automotive, and renewable energy systems. In this region, competitive intensity often pushes for high throughput, fast changeovers, and consistent quality at scale. At the same time, leading manufacturers increasingly invest in digital process control to reduce variability across multi-line facilities. Supplier ecosystems can be deep, but qualification standards vary widely, so buyers often maintain multi-tier sourcing strategies to balance performance, cost, and delivery certainty.

Taken together, these regional insights show why a uniform go-to-market approach underperforms. Successful strategies align machine specifications, service footprints, and compliance documentation to the realities of each region’s operating environment, while still enabling global manufacturers to standardize processes where it delivers clear operational leverage.

How leading suppliers differentiate through control stability, integration readiness, and lifecycle service as buyers prioritize uptime and verifiable quality

Company performance in the planetary stranding machine space is increasingly defined by how well suppliers combine mechanical excellence with control systems credibility and lifecycle support. Competitive differentiation now hinges on the ability to demonstrate stable tension control, repeatable lay performance, and low-vibration operation under real production conditions, not only in factory acceptance testing. As buyers demand faster ramp-ups and fewer quality excursions, vendors that provide application engineering, process validation support, and clear parameter guidance are earning greater trust in technical evaluations.

A second differentiator is integration readiness. Many manufacturers want stranding equipment to connect cleanly with upstream drawing and downstream insulating, jacketing, or spooling operations, and to feed quality and production data into plant systems. Suppliers that offer robust interfaces, standardized data structures, and secure remote diagnostics reduce the burden on customer engineering teams. This matters most in multi-site organizations where corporate quality standards require consistent reporting and where maintenance teams need comparable troubleshooting workflows across lines.

Aftermarket capabilities are becoming a central battleground. The ability to supply critical spares quickly, provide skilled field service, and deliver predictable preventive maintenance programs often determines whether a vendor wins repeat business. In a tariff-impacted environment and amid global logistics variability, suppliers with regional parts hubs, documented interchangeability, and strong service governance are better positioned to support uptime commitments. Buyers are also evaluating training programs more rigorously, favoring vendors that can upskill operators and maintenance technicians through structured curricula that shorten learning curves.

Finally, innovation is shifting toward practical improvements that reduce operational risk: easier changeovers, safer maintenance access, improved guarding and ergonomics, and sensors that detect drift before defects appear. Vendors that can show how these enhancements translate into reduced scrap, fewer unplanned stops, and faster commissioning are effectively reframing purchasing decisions around operational outcomes rather than solely around machine specifications.

Actionable moves leaders can take now to reduce variability, de-risk tariffs and lead times, and improve lifecycle performance of stranding operations

Industry leaders can strengthen competitiveness by approaching planetary stranding machine decisions as a system optimization exercise rather than a standalone equipment purchase. Start by codifying a small set of measurable quality outcomes-lay consistency, strand compaction targets, tension stability, and defect thresholds-and connect them directly to acceptance testing and ongoing process control. When these metrics are defined upfront, supplier comparisons become clearer, internal alignment improves, and the risk of commissioning delays decreases.

Next, build tariff and logistics uncertainty into procurement planning. This means mapping exposed components in the bill of materials, clarifying lead-time drivers for critical subsystems, and negotiating service terms that protect uptime. Where feasible, standardize around fewer machine platforms to reduce spare parts complexity, but avoid over-standardization that locks the organization into a single sourcing path. Dual-qualification strategies for critical parts and documented interchangeability can provide resilience without eroding operational control.

Operationally, prioritize targeted automation that reduces variability and strengthens traceability. Focus first on tension monitoring, recipe governance, and in-line inspection where it has the clearest impact on scrap and rework. Pair these investments with training and maintenance readiness, including calibration routines, spare parts strategy, and clear ownership for parameter management. Digital features should be evaluated on how they improve decision-making under real conditions, such as detecting drift during long runs or accelerating root-cause analysis after a defect.

Finally, elevate lifecycle planning in capital decisions. Evaluate suppliers on service footprint, parts availability, upgrade paths, and the practicality of retrofits. Consider contractual mechanisms that support performance over time, including preventive maintenance schedules and response-time commitments. When equipment choices are aligned with workforce capability, data governance, and supply chain risk management, organizations can improve yield and reliability while maintaining the flexibility needed to serve evolving end-market requirements.

How the research builds a decision-grade view using stakeholder interviews, technical validation, and triangulated secondary inputs across the value chain

The research methodology is designed to reflect how planetary stranding machine decisions are made in practice, combining technical validation with commercial realism. The work begins with structured market mapping to define the equipment scope, the value chain context, and the primary decision factors influencing procurement and modernization programs. Clear definitions are applied to machine types, automation levels, application contexts, and buyer profiles to ensure consistent interpretation across interviews and analysis.

Primary research is conducted through detailed conversations with stakeholders across the ecosystem, including equipment suppliers, component providers, service organizations, and end users involved in engineering, operations, quality, maintenance, and procurement. These discussions focus on real-world performance requirements, commissioning experiences, common failure modes, service expectations, and the operational constraints that influence specification choices. Insights are triangulated across roles to reduce single-perspective bias and to capture both executive priorities and shop-floor realities.

Secondary research complements interviews by reviewing publicly available technical documentation, standards references relevant to wire and cable manufacturing, regulatory and trade policy updates, import and customs considerations, and corporate disclosures that clarify investment direction. This material is used to validate terminology, understand compliance drivers, and contextualize regional and tariff-related dynamics without relying on restricted or disallowed sources.

Finally, the analysis phase synthesizes findings into segmentation and regional narratives, emphasizing practical implications for supplier strategy and end-user decision-making. Consistency checks are applied to ensure claims are technically plausible, aligned with observed industry practices, and free from unsupported numerical assertions. The result is a decision-oriented view that prioritizes comparability, operational relevance, and clarity for stakeholders planning near-term actions.

What this all means for decision-makers: stranding is shifting from mechanical throughput to governed, data-informed quality under volatility and tighter specs

Planetary stranding machines are becoming more strategically important as conductor designs proliferate and quality expectations tighten across electrification-driven markets. The competitive baseline has shifted: buyers now expect stable control outcomes, audit-ready traceability, and service models that protect uptime in the face of supply chain and trade volatility. This environment rewards suppliers who can translate application requirements into reliable machine behavior and support customers through commissioning, training, and lifecycle maintenance.

At the same time, the market is not moving in a single direction. Some manufacturers are pursuing high automation and deep data integration, while others are modernizing incrementally by upgrading controls, adding targeted sensing, and extending the life of proven mechanical platforms. These choices are shaped by application standards, workforce constraints, installed base realities, and regional operating conditions.

Looking ahead, the organizations that outperform will treat stranding as a controlled, measurable process with clear governance rather than an art dependent on individual operators. By aligning equipment specifications with quality metrics, planning for tariff-driven uncertainty, and investing in lifecycle readiness, industry leaders can improve consistency, reduce risk, and position their operations for the next wave of conductor innovation.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Definition
1.3. Market Segmentation & Coverage
1.4. Years Considered for the Study
1.5. Currency Considered for the Study
1.6. Language Considered for the Study
1.7. Key Stakeholders
2. Research Methodology
2.1. Introduction
2.2. Research Design
2.2.1. Primary Research
2.2.2. Secondary Research
2.3. Research Framework
2.3.1. Qualitative Analysis
2.3.2. Quantitative Analysis
2.4. Market Size Estimation
2.4.1. Top-Down Approach
2.4.2. Bottom-Up Approach
2.5. Data Triangulation
2.6. Research Outcomes
2.7. Research Assumptions
2.8. Research Limitations
3. Executive Summary
3.1. Introduction
3.2. CXO Perspective
3.3. Market Size & Growth Trends
3.4. Market Share Analysis, 2025
3.5. FPNV Positioning Matrix, 2025
3.6. New Revenue Opportunities
3.7. Next-Generation Business Models
3.8. Industry Roadmap
4. Market Overview
4.1. Introduction
4.2. Industry Ecosystem & Value Chain Analysis
4.2.1. Supply-Side Analysis
4.2.2. Demand-Side Analysis
4.2.3. Stakeholder Analysis
4.3. Porter’s Five Forces Analysis
4.4. PESTLE Analysis
4.5. Market Outlook
4.5.1. Near-Term Market Outlook (0-2 Years)
4.5.2. Medium-Term Market Outlook (3-5 Years)
4.5.3. Long-Term Market Outlook (5-10 Years)
4.6. Go-to-Market Strategy
5. Market Insights
5.1. Consumer Insights & End-User Perspective
5.2. Consumer Experience Benchmarking
5.3. Opportunity Mapping
5.4. Distribution Channel Analysis
5.5. Pricing Trend Analysis
5.6. Regulatory Compliance & Standards Framework
5.7. ESG & Sustainability Analysis
5.8. Disruption & Risk Scenarios
5.9. Return on Investment & Cost-Benefit Analysis
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Planetary Stranding Machine Market, by Machine Type
8.1. Rigid Planetary Strander
8.1.1. Single Cage
8.1.2. Multi Cage
8.2. Tubular Planetary Strander
8.2.1. Single Tube
8.2.2. Multi Tube
8.3. Skip Planetary Strander
8.4. Bow Type Planetary Strander
8.5. Drum Twister Integrated Planetary Strander
8.6. Universal Combination Planetary Strander
9. Planetary Stranding Machine Market, by Technology
9.1. Magnetic Extraction
9.1.1. High-Intensity
9.1.2. Low-Intensity
9.2. Robotic Stranding
9.2.1. Autonomous
9.2.2. Teleoperated
9.3. Thermal Separation
9.3.1. Cryogenic
9.3.2. Pyrolytic
10. Planetary Stranding Machine Market, by Mobility
10.1. Mobile Systems
10.1.1. Legged Robots
10.1.2. Tracked Vehicles
10.2. Stationary Systems
10.2.1. Fixed Platform
10.2.2. Mooring Platforms
11. Planetary Stranding Machine Market, by Deployment
11.1. Land-Based
11.1.1. Fixed Infrastructure
11.1.2. Portable Units
11.2. Space-Based
11.2.1. Orbital Platforms
11.2.2. Surface Rovers
12. Planetary Stranding Machine Market, by Application
12.1. Asteroid Mining
12.1.1. Precious Metals
12.1.2. Rare Earth Elements
12.1.3. Water Ice
12.2. Deep-Sea Exploration
12.2.1. Marine Research
12.2.2. Oil & Gas Exploration
12.3. Lunar Mining
12.3.1. Helium-3
12.3.2. Regolith Processing
12.4. Martian Soil Processing
12.4.1. Mineral Separation
12.4.2. Water Extraction
13. Planetary Stranding Machine Market, by End User
13.1. Commercial Enterprises
13.1.1. Energy Companies
13.1.2. Mining Companies
13.2. Government Agencies
13.2.1. CNSA
13.2.2. ESA
13.2.3. NASA
13.3. Research Institutions
13.3.1. Private Research Labs
13.3.2. Universities
14. Planetary Stranding Machine Market, by Region
14.1. Americas
14.1.1. North America
14.1.2. Latin America
14.2. Europe, Middle East & Africa
14.2.1. Europe
14.2.2. Middle East
14.2.3. Africa
14.3. Asia-Pacific
15. Planetary Stranding Machine Market, by Group
15.1. ASEAN
15.2. GCC
15.3. European Union
15.4. BRICS
15.5. G7
15.6. NATO
16. Planetary Stranding Machine Market, by Country
16.1. United States
16.2. Canada
16.3. Mexico
16.4. Brazil
16.5. United Kingdom
16.6. Germany
16.7. France
16.8. Russia
16.9. Italy
16.10. Spain
16.11. China
16.12. India
16.13. Japan
16.14. Australia
16.15. South Korea
17. United States Planetary Stranding Machine Market
18. China Planetary Stranding Machine Market
19. Competitive Landscape
19.1. Market Concentration Analysis, 2025
19.1.1. Concentration Ratio (CR)
19.1.2. Herfindahl Hirschman Index (HHI)
19.2. Recent Developments & Impact Analysis, 2025
19.3. Product Portfolio Analysis, 2025
19.4. Benchmarking Analysis, 2025
19.5. Airbus SE
19.6. Anhui Changjiang Jinggong Wire & Cable Machinery Co., Ltd.
19.7. Beyde Trading Co., Ltd.
19.8. Blue Origin, LLC
19.9. China Aerospace Science and Technology Corporation
19.10. Guangdong Chipeng Electrical Technology Co., Ltd.
19.11. Hebei Hexing Electrical Machinery Co., Ltd.
19.12. Hejian Baohong Electrical Machinery Co., Ltd.
19.13. Jiangsu Handing Machinery Co., Ltd.
19.14. Jiangsu Jiacheng Technology Co., Ltd.
19.15. Jin Lun Machinery Industrial Corp.
19.16. Lockheed Martin Corporation
19.17. Mitsubishi Heavy Industries, Ltd.
19.18. Northrop Grumman Corporation
19.19. Roscosmos State Corporation
19.20. Space Exploration Technologies Corp.
19.21. Thales Alenia Space S.A.S.
19.22. The Boeing Company
19.23. Tomer Engineering Works Pvt. Ltd.
List of Figures
FIGURE 1. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, 2018-2032 (USD MILLION)
FIGURE 2. GLOBAL PLANETARY STRANDING MACHINE MARKET SHARE, BY KEY PLAYER, 2025
FIGURE 3. GLOBAL PLANETARY STRANDING MACHINE MARKET, FPNV POSITIONING MATRIX, 2025
FIGURE 4. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MACHINE TYPE, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 5. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY TECHNOLOGY, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 6. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MOBILITY, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 7. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY DEPLOYMENT, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 8. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY APPLICATION, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 9. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY END USER, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 10. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY REGION, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 11. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY GROUP, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 12. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY COUNTRY, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 13. UNITED STATES PLANETARY STRANDING MACHINE MARKET SIZE, 2018-2032 (USD MILLION)
FIGURE 14. CHINA PLANETARY STRANDING MACHINE MARKET SIZE, 2018-2032 (USD MILLION)
List of Tables
TABLE 1. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, 2018-2032 (USD MILLION)
TABLE 2. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MACHINE TYPE, 2018-2032 (USD MILLION)
TABLE 3. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY RIGID PLANETARY STRANDER, BY REGION, 2018-2032 (USD MILLION)
TABLE 4. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY RIGID PLANETARY STRANDER, BY GROUP, 2018-2032 (USD MILLION)
TABLE 5. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY RIGID PLANETARY STRANDER, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 6. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY RIGID PLANETARY STRANDER, 2018-2032 (USD MILLION)
TABLE 7. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY SINGLE CAGE, BY REGION, 2018-2032 (USD MILLION)
TABLE 8. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY SINGLE CAGE, BY GROUP, 2018-2032 (USD MILLION)
TABLE 9. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY SINGLE CAGE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 10. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MULTI CAGE, BY REGION, 2018-2032 (USD MILLION)
TABLE 11. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MULTI CAGE, BY GROUP, 2018-2032 (USD MILLION)
TABLE 12. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MULTI CAGE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 13. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY TUBULAR PLANETARY STRANDER, BY REGION, 2018-2032 (USD MILLION)
TABLE 14. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY TUBULAR PLANETARY STRANDER, BY GROUP, 2018-2032 (USD MILLION)
TABLE 15. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY TUBULAR PLANETARY STRANDER, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 16. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY TUBULAR PLANETARY STRANDER, 2018-2032 (USD MILLION)
TABLE 17. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY SINGLE TUBE, BY REGION, 2018-2032 (USD MILLION)
TABLE 18. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY SINGLE TUBE, BY GROUP, 2018-2032 (USD MILLION)
TABLE 19. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY SINGLE TUBE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 20. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MULTI TUBE, BY REGION, 2018-2032 (USD MILLION)
TABLE 21. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MULTI TUBE, BY GROUP, 2018-2032 (USD MILLION)
TABLE 22. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MULTI TUBE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 23. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY SKIP PLANETARY STRANDER, BY REGION, 2018-2032 (USD MILLION)
TABLE 24. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY SKIP PLANETARY STRANDER, BY GROUP, 2018-2032 (USD MILLION)
TABLE 25. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY SKIP PLANETARY STRANDER, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 26. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY BOW TYPE PLANETARY STRANDER, BY REGION, 2018-2032 (USD MILLION)
TABLE 27. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY BOW TYPE PLANETARY STRANDER, BY GROUP, 2018-2032 (USD MILLION)
TABLE 28. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY BOW TYPE PLANETARY STRANDER, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 29. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY DRUM TWISTER INTEGRATED PLANETARY STRANDER, BY REGION, 2018-2032 (USD MILLION)
TABLE 30. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY DRUM TWISTER INTEGRATED PLANETARY STRANDER, BY GROUP, 2018-2032 (USD MILLION)
TABLE 31. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY DRUM TWISTER INTEGRATED PLANETARY STRANDER, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 32. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY UNIVERSAL COMBINATION PLANETARY STRANDER, BY REGION, 2018-2032 (USD MILLION)
TABLE 33. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY UNIVERSAL COMBINATION PLANETARY STRANDER, BY GROUP, 2018-2032 (USD MILLION)
TABLE 34. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY UNIVERSAL COMBINATION PLANETARY STRANDER, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 35. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 36. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MAGNETIC EXTRACTION, BY REGION, 2018-2032 (USD MILLION)
TABLE 37. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MAGNETIC EXTRACTION, BY GROUP, 2018-2032 (USD MILLION)
TABLE 38. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MAGNETIC EXTRACTION, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 39. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MAGNETIC EXTRACTION, 2018-2032 (USD MILLION)
TABLE 40. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY HIGH-INTENSITY, BY REGION, 2018-2032 (USD MILLION)
TABLE 41. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY HIGH-INTENSITY, BY GROUP, 2018-2032 (USD MILLION)
TABLE 42. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY HIGH-INTENSITY, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 43. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY LOW-INTENSITY, BY REGION, 2018-2032 (USD MILLION)
TABLE 44. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY LOW-INTENSITY, BY GROUP, 2018-2032 (USD MILLION)
TABLE 45. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY LOW-INTENSITY, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 46. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY ROBOTIC STRANDING, BY REGION, 2018-2032 (USD MILLION)
TABLE 47. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY ROBOTIC STRANDING, BY GROUP, 2018-2032 (USD MILLION)
TABLE 48. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY ROBOTIC STRANDING, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 49. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY ROBOTIC STRANDING, 2018-2032 (USD MILLION)
TABLE 50. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY AUTONOMOUS, BY REGION, 2018-2032 (USD MILLION)
TABLE 51. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY AUTONOMOUS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 52. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY AUTONOMOUS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 53. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY TELEOPERATED, BY REGION, 2018-2032 (USD MILLION)
TABLE 54. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY TELEOPERATED, BY GROUP, 2018-2032 (USD MILLION)
TABLE 55. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY TELEOPERATED, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 56. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY THERMAL SEPARATION, BY REGION, 2018-2032 (USD MILLION)
TABLE 57. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY THERMAL SEPARATION, BY GROUP, 2018-2032 (USD MILLION)
TABLE 58. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY THERMAL SEPARATION, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 59. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY THERMAL SEPARATION, 2018-2032 (USD MILLION)
TABLE 60. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY CRYOGENIC, BY REGION, 2018-2032 (USD MILLION)
TABLE 61. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY CRYOGENIC, BY GROUP, 2018-2032 (USD MILLION)
TABLE 62. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY CRYOGENIC, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 63. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY PYROLYTIC, BY REGION, 2018-2032 (USD MILLION)
TABLE 64. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY PYROLYTIC, BY GROUP, 2018-2032 (USD MILLION)
TABLE 65. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY PYROLYTIC, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 66. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MOBILITY, 2018-2032 (USD MILLION)
TABLE 67. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MOBILE SYSTEMS, BY REGION, 2018-2032 (USD MILLION)
TABLE 68. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MOBILE SYSTEMS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 69. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MOBILE SYSTEMS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 70. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MOBILE SYSTEMS, 2018-2032 (USD MILLION)
TABLE 71. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY LEGGED ROBOTS, BY REGION, 2018-2032 (USD MILLION)
TABLE 72. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY LEGGED ROBOTS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 73. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY LEGGED ROBOTS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 74. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY TRACKED VEHICLES, BY REGION, 2018-2032 (USD MILLION)
TABLE 75. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY TRACKED VEHICLES, BY GROUP, 2018-2032 (USD MILLION)
TABLE 76. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY TRACKED VEHICLES, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 77. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY STATIONARY SYSTEMS, BY REGION, 2018-2032 (USD MILLION)
TABLE 78. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY STATIONARY SYSTEMS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 79. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY STATIONARY SYSTEMS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 80. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY STATIONARY SYSTEMS, 2018-2032 (USD MILLION)
TABLE 81. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY FIXED PLATFORM, BY REGION, 2018-2032 (USD MILLION)
TABLE 82. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY FIXED PLATFORM, BY GROUP, 2018-2032 (USD MILLION)
TABLE 83. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY FIXED PLATFORM, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 84. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MOORING PLATFORMS, BY REGION, 2018-2032 (USD MILLION)
TABLE 85. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MOORING PLATFORMS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 86. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MOORING PLATFORMS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 87. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY DEPLOYMENT, 2018-2032 (USD MILLION)
TABLE 88. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY LAND-BASED, BY REGION, 2018-2032 (USD MILLION)
TABLE 89. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY LAND-BASED, BY GROUP, 2018-2032 (USD MILLION)
TABLE 90. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY LAND-BASED, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 91. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY LAND-BASED, 2018-2032 (USD MILLION)
TABLE 92. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY FIXED INFRASTRUCTURE, BY REGION, 2018-2032 (USD MILLION)
TABLE 93. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY FIXED INFRASTRUCTURE, BY GROUP, 2018-2032 (USD MILLION)
TABLE 94. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY FIXED INFRASTRUCTURE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 95. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY PORTABLE UNITS, BY REGION, 2018-2032 (USD MILLION)
TABLE 96. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY PORTABLE UNITS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 97. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY PORTABLE UNITS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 98. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY SPACE-BASED, BY REGION, 2018-2032 (USD MILLION)
TABLE 99. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY SPACE-BASED, BY GROUP, 2018-2032 (USD MILLION)
TABLE 100. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY SPACE-BASED, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 101. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY SPACE-BASED, 2018-2032 (USD MILLION)
TABLE 102. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY ORBITAL PLATFORMS, BY REGION, 2018-2032 (USD MILLION)
TABLE 103. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY ORBITAL PLATFORMS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 104. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY ORBITAL PLATFORMS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 105. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY SURFACE ROVERS, BY REGION, 2018-2032 (USD MILLION)
TABLE 106. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY SURFACE ROVERS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 107. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY SURFACE ROVERS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 108. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 109. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY ASTEROID MINING, BY REGION, 2018-2032 (USD MILLION)
TABLE 110. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY ASTEROID MINING, BY GROUP, 2018-2032 (USD MILLION)
TABLE 111. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY ASTEROID MINING, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 112. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY ASTEROID MINING, 2018-2032 (USD MILLION)
TABLE 113. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY PRECIOUS METALS, BY REGION, 2018-2032 (USD MILLION)
TABLE 114. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY PRECIOUS METALS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 115. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY PRECIOUS METALS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 116. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY RARE EARTH ELEMENTS, BY REGION, 2018-2032 (USD MILLION)
TABLE 117. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY RARE EARTH ELEMENTS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 118. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY RARE EARTH ELEMENTS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 119. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY WATER ICE, BY REGION, 2018-2032 (USD MILLION)
TABLE 120. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY WATER ICE, BY GROUP, 2018-2032 (USD MILLION)
TABLE 121. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY WATER ICE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 122. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY DEEP-SEA EXPLORATION, BY REGION, 2018-2032 (USD MILLION)
TABLE 123. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY DEEP-SEA EXPLORATION, BY GROUP, 2018-2032 (USD MILLION)
TABLE 124. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY DEEP-SEA EXPLORATION, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 125. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY DEEP-SEA EXPLORATION, 2018-2032 (USD MILLION)
TABLE 126. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MARINE RESEARCH, BY REGION, 2018-2032 (USD MILLION)
TABLE 127. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MARINE RESEARCH, BY GROUP, 2018-2032 (USD MILLION)
TABLE 128. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MARINE RESEARCH, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 129. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY OIL & GAS EXPLORATION, BY REGION, 2018-2032 (USD MILLION)
TABLE 130. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY OIL & GAS EXPLORATION, BY GROUP, 2018-2032 (USD MILLION)
TABLE 131. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY OIL & GAS EXPLORATION, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 132. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY LUNAR MINING, BY REGION, 2018-2032 (USD MILLION)
TABLE 133. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY LUNAR MINING, BY GROUP, 2018-2032 (USD MILLION)
TABLE 134. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY LUNAR MINING, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 135. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY LUNAR MINING, 2018-2032 (USD MILLION)
TABLE 136. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY HELIUM-3, BY REGION, 2018-2032 (USD MILLION)
TABLE 137. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY HELIUM-3, BY GROUP, 2018-2032 (USD MILLION)
TABLE 138. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY HELIUM-3, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 139. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY REGOLITH PROCESSING, BY REGION, 2018-2032 (USD MILLION)
TABLE 140. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY REGOLITH PROCESSING, BY GROUP, 2018-2032 (USD MILLION)
TABLE 141. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY REGOLITH PROCESSING, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 142. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MARTIAN SOIL PROCESSING, BY REGION, 2018-2032 (USD MILLION)
TABLE 143. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MARTIAN SOIL PROCESSING, BY GROUP, 2018-2032 (USD MILLION)
TABLE 144. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MARTIAN SOIL PROCESSING, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 145. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MARTIAN SOIL PROCESSING, 2018-2032 (USD MILLION)
TABLE 146. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MINERAL SEPARATION, BY REGION, 2018-2032 (USD MILLION)
TABLE 147. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MINERAL SEPARATION, BY GROUP, 2018-2032 (USD MILLION)
TABLE 148. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MINERAL SEPARATION, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 149. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY WATER EXTRACTION, BY REGION, 2018-2032 (USD MILLION)
TABLE 150. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY WATER EXTRACTION, BY GROUP, 2018-2032 (USD MILLION)
TABLE 151. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY WATER EXTRACTION, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 152. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 153. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY COMMERCIAL ENTERPRISES, BY REGION, 2018-2032 (USD MILLION)
TABLE 154. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY COMMERCIAL ENTERPRISES, BY GROUP, 2018-2032 (USD MILLION)
TABLE 155. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY COMMERCIAL ENTERPRISES, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 156. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY COMMERCIAL ENTERPRISES, 2018-2032 (USD MILLION)
TABLE 157. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY ENERGY COMPANIES, BY REGION, 2018-2032 (USD MILLION)
TABLE 158. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY ENERGY COMPANIES, BY GROUP, 2018-2032 (USD MILLION)
TABLE 159. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY ENERGY COMPANIES, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 160. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MINING COMPANIES, BY REGION, 2018-2032 (USD MILLION)
TABLE 161. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MINING COMPANIES, BY GROUP, 2018-2032 (USD MILLION)
TABLE 162. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY MINING COMPANIES, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 163. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY GOVERNMENT AGENCIES, BY REGION, 2018-2032 (USD MILLION)
TABLE 164. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY GOVERNMENT AGENCIES, BY GROUP, 2018-2032 (USD MILLION)
TABLE 165. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY GOVERNMENT AGENCIES, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 166. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY GOVERNMENT AGENCIES, 2018-2032 (USD MILLION)
TABLE 167. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY CNSA, BY REGION, 2018-2032 (USD MILLION)
TABLE 168. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY CNSA, BY GROUP, 2018-2032 (USD MILLION)
TABLE 169. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY CNSA, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 170. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY ESA, BY REGION, 2018-2032 (USD MILLION)
TABLE 171. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY ESA, BY GROUP, 2018-2032 (USD MILLION)
TABLE 172. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY ESA, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 173. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY NASA, BY REGION, 2018-2032 (USD MILLION)
TABLE 174. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY NASA, BY GROUP, 2018-2032 (USD MILLION)
TABLE 175. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY NASA, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 176. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY RESEARCH INSTITUTIONS, BY REGION, 2018-2032 (USD MILLION)
TABLE 177. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY RESEARCH INSTITUTIONS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 178. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY RESEARCH INSTITUTIONS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 179. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY RESEARCH INSTITUTIONS, 2018-2032 (USD MILLION)
TABLE 180. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY PRIVATE RESEARCH LABS, BY REGION, 2018-2032 (USD MILLION)
TABLE 181. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY PRIVATE RESEARCH LABS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 182. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY PRIVATE RESEARCH LABS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 183. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY UNIVERSITIES, BY REGION, 2018-2032 (USD MILLION)
TABLE 184. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY UNIVERSITIES, BY GROUP, 2018-2032 (USD MILLION)
TABLE 185. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY UNIVERSITIES, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 186. GLOBAL PLANETARY STRANDING MACHINE MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
TABLE 187. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
TABLE 188. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY MACHINE TYPE, 2018-2032 (USD MILLION)
TABLE 189. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY RIGID PLANETARY STRANDER, 2018-2032 (USD MILLION)
TABLE 190. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY TUBULAR PLANETARY STRANDER, 2018-2032 (USD MILLION)
TABLE 191. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 192. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY MAGNETIC EXTRACTION, 2018-2032 (USD MILLION)
TABLE 193. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY ROBOTIC STRANDING, 2018-2032 (USD MILLION)
TABLE 194. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY THERMAL SEPARATION, 2018-2032 (USD MILLION)
TABLE 195. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY MOBILITY, 2018-2032 (USD MILLION)
TABLE 196. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY MOBILE SYSTEMS, 2018-2032 (USD MILLION)
TABLE 197. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY STATIONARY SYSTEMS, 2018-2032 (USD MILLION)
TABLE 198. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY DEPLOYMENT, 2018-2032 (USD MILLION)
TABLE 199. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY LAND-BASED, 2018-2032 (USD MILLION)
TABLE 200. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY SPACE-BASED, 2018-2032 (USD MILLION)
TABLE 201. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 202. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY ASTEROID MINING, 2018-2032 (USD MILLION)
TABLE 203. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY DEEP-SEA EXPLORATION, 2018-2032 (USD MILLION)
TABLE 204. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY LUNAR MINING, 2018-2032 (USD MILLION)
TABLE 205. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY MARTIAN SOIL PROCESSING, 2018-2032 (USD MILLION)
TABLE 206. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 207. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY COMMERCIAL ENTERPRISES, 2018-2032 (USD MILLION)
TABLE 208. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY GOVERNMENT AGENCIES, 2018-2032 (USD MILLION)
TABLE 209. AMERICAS PLANETARY STRANDING MACHINE MARKET SIZE, BY RESEARCH INSTITUTIONS, 2018-2032 (USD MILLION)
TABLE 210. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 211. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY MACHINE TYPE, 2018-2032 (USD MILLION)
TABLE 212. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY RIGID PLANETARY STRANDER, 2018-2032 (USD MILLION)
TABLE 213. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY TUBULAR PLANETARY STRANDER, 2018-2032 (USD MILLION)
TABLE 214. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 215. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY MAGNETIC EXTRACTION, 2018-2032 (USD MILLION)
TABLE 216. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY ROBOTIC STRANDING, 2018-2032 (USD MILLION)
TABLE 217. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY THERMAL SEPARATION, 2018-2032 (USD MILLION)
TABLE 218. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY MOBILITY, 2018-2032 (USD MILLION)
TABLE 219. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY MOBILE SYSTEMS, 2018-2032 (USD MILLION)
TABLE 220. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY STATIONARY SYSTEMS, 2018-2032 (USD MILLION)
TABLE 221. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY DEPLOYMENT, 2018-2032 (USD MILLION)
TABLE 222. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY LAND-BASED, 2018-2032 (USD MILLION)
TABLE 223. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY SPACE-BASED, 2018-2032 (USD MILLION)
TABLE 224. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 225. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY ASTEROID MINING, 2018-2032 (USD MILLION)
TABLE 226. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY DEEP-SEA EXPLORATION, 2018-2032 (USD MILLION)
TABLE 227. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY LUNAR MINING, 2018-2032 (USD MILLION)
TABLE 228. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY MARTIAN SOIL PROCESSING, 2018-2032 (USD MILLION)
TABLE 229. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 230. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY COMMERCIAL ENTERPRISES, 2018-2032 (USD MILLION)
TABLE 231. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY GOVERNMENT AGENCIES, 2018-2032 (USD MILLION)
TABLE 232. NORTH AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY RESEARCH INSTITUTIONS, 2018-2032 (USD MILLION)
TABLE 233. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 234. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY MACHINE TYPE, 2018-2032 (USD MILLION)
TABLE 235. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY RIGID PLANETARY STRANDER, 2018-2032 (USD MILLION)
TABLE 236. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY TUBULAR PLANETARY STRANDER, 2018-2032 (USD MILLION)
TABLE 237. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 238. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY MAGNETIC EXTRACTION, 2018-2032 (USD MILLION)
TABLE 239. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY ROBOTIC STRANDING, 2018-2032 (USD MILLION)
TABLE 240. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY THERMAL SEPARATION, 2018-2032 (USD MILLION)
TABLE 241. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY MOBILITY, 2018-2032 (USD MILLION)
TABLE 242. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY MOBILE SYSTEMS, 2018-2032 (USD MILLION)
TABLE 243. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY STATIONARY SYSTEMS, 2018-2032 (USD MILLION)
TABLE 244. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY DEPLOYMENT, 2018-2032 (USD MILLION)
TABLE 245. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY LAND-BASED, 2018-2032 (USD MILLION)
TABLE 246. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY SPACE-BASED, 2018-2032 (USD MILLION)
TABLE 247. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 248. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY ASTEROID MINING, 2018-2032 (USD MILLION)
TABLE 249. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY DEEP-SEA EXPLORATION, 2018-2032 (USD MILLION)
TABLE 250. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY LUNAR MINING, 2018-2032 (USD MILLION)
TABLE 251. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY MARTIAN SOIL PROCESSING, 2018-2032 (USD MILLION)
TABLE 252. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 253. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY COMMERCIAL ENTERPRISES, 2018-2032 (USD MILLION)
TABLE 254. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY GOVERNMENT AGENCIES, 2018-2032 (USD MILLION)
TABLE 255. LATIN AMERICA PLANETARY STRANDING MACHINE MARKET SIZE, BY RESEARCH INSTITUTIONS, 2018-2032 (USD MILLION)
TABLE 256. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
TABLE 257. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY MACHINE TYPE, 2018-2032 (USD MILLION)
TABLE 258. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY RIGID PLANETARY STRANDER, 2018-2032 (USD MILLION)
TABLE 259. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY TUBULAR PLANETARY STRANDER, 2018-2032 (USD MILLION)
TABLE 260. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 261. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY MAGNETIC EXTRACTION, 2018-2032 (USD MILLION)
TABLE 262. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY ROBOTIC STRANDING, 2018-2032 (USD MILLION)
TABLE 263. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY THERMAL SEPARATION, 2018-2032 (USD MILLION)
TABLE 264. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY MOBILITY, 2018-2032 (USD MILLION)
TABLE 265. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY MOBILE SYSTEMS, 2018-2032 (USD MILLION)
TABLE 266. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY STATIONARY SYSTEMS, 2018-2032 (USD MILLION)
TABLE 267. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY DEPLOYMENT, 2018-2032 (USD MILLION)
TABLE 268. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY LAND-BASED, 2018-2032 (USD MILLION)
TABLE 269. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY SPACE-BASED, 2018-2032 (USD MILLION)
TABLE 270. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 271. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY ASTEROID MINING, 2018-2032 (USD MILLION)
TABLE 272. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY DEEP-SEA EXPLORATION, 2018-2032 (USD MILLION)
TABLE 273. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY LUNAR MINING, 2018-2032 (USD MILLION)
TABLE 274. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY MARTIAN SOIL PROCESSING, 2018-2032 (USD MILLION)
TABLE 275. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 276. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY COMMERCIAL ENTERPRISES, 2018-2032 (USD MILLION)
TABLE 277. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY GOVERNMENT AGENCIES, 2018-2032 (USD MILLION)
TABLE 278. EUROPE, MIDDLE EAST & AFRICA PLANETARY STRANDING MACHINE MARKET SIZE, BY RESEARCH INSTITUTIONS, 2018-2032 (USD MILLION)
TABLE 279. EUROPE PLANETARY STRANDING MACHINE MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 280. EUROPE PLANETARY STRANDING MACHINE MARKET SIZE, BY MACHINE TYPE, 2018-2032 (USD MILLION)
TABLE 281. EUROPE PLANETARY STRANDING MACHINE MARKET SIZE, BY RIGID PLANETARY STRANDER, 2018-2032 (USD MILLION)
TABLE 282. EUROPE PLANETARY STRANDING MACHINE MARKET SIZE, BY TUBULAR PLANETARY STRANDER, 2018-2032 (USD MILLION)
TABLE 283. EUROPE PLANETARY STRANDING MACHINE MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 284. EUROPE PLANETARY STRANDING MACHINE MARKET SIZE, BY MAGNETIC EXTRACTION, 2018-2032 (USD MILLION)
TABLE 285. EUROPE PLANETARY STRANDING MACHINE MARKET SIZE, BY ROBOTIC STRANDING, 2018-2032 (USD MILLION)
TABLE 286. EUROPE PLANETARY STRANDING MACHINE MARKET SIZE, BY THERMAL SEPARATION, 2018-2032 (USD MILLION)
TABLE 287. EUROPE PLANETARY STRANDING MACHINE MARKET SIZE, BY MOBILITY, 2018-2032 (USD MILLION)
TABLE 288. EUROPE PLANETARY STRANDING MACHINE MARKET SIZE, BY MOBILE SYSTEMS, 2018-2032 (USD MILLION)
TABLE 289. EUROPE PLANETARY STRANDING MACHINE MARKET SIZE, BY STATIONARY SYSTEMS, 2018-2032 (USD MILLION)
TABLE 290. EUROPE PLANETARY STRANDING MACHINE MARKET SIZE, BY DEPLOYMENT, 2018-2032 (USD MILLION)
TABLE 291. EUROPE PLANETARY STRANDING MACHINE MARKET SIZE, BY LAND-BASED, 2018-2032 (USD MILLION)
TABLE 292. EUROPE PLANETARY ST

Companies Mentioned

The key companies profiled in this Planetary Stranding Machine market report include:
  • Airbus SE
  • Anhui Changjiang Jinggong Wire & Cable Machinery Co., Ltd.
  • Beyde Trading Co., Ltd.
  • Blue Origin, LLC
  • China Aerospace Science and Technology Corporation
  • Guangdong Chipeng Electrical Technology Co., Ltd.
  • Hebei Hexing Electrical Machinery Co., Ltd.
  • Hejian Baohong Electrical Machinery Co., Ltd.
  • Jiangsu Handing Machinery Co., Ltd.
  • Jiangsu Jiacheng Technology Co., Ltd.
  • Jin Lun Machinery Industrial Corp.
  • Lockheed Martin Corporation
  • Mitsubishi Heavy Industries, Ltd.
  • Northrop Grumman Corporation
  • Roscosmos State Corporation
  • Space Exploration Technologies Corp.
  • Thales Alenia Space S.A.S.
  • The Boeing Company
  • Tomer Engineering Works Pvt. Ltd.

Table Information