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Segmental Data Insights |
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Demand Trends |
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Competitive Landscape |
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Future Outlook & Opportunities |
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The global smart lifting equipment market is witnessing strong growth, valued at USD 0.7 billion in 2025 and projected to reach USD 1.4 billion by 2035, expanding at a CAGR of 7.2% during the forecast period.

Emel Fleischmann, Managing Director at RGM Cranes, said “Industry is moving quickly toward smarter, more connected environments, our automation and control systems are designed to help clients improve productivity, reduce downtime and create safer working conditions. Nexxus helps remove the blind spots that can exist across lifting operations, it gives businesses access to meaningful data, helping them move from reactive servicing to more proactive, informed maintenance decisions.”
The smart lifting equipment market is growing at a fast pace with the growing acceptance among industries to utilize connected lifting equipment to enhance operational safety, productivity, and predictive maintenance in the construction, manufacturing, logistics, ports, mining, and energy sectors. IoT sensors, AI-based load monitoring, telematics, remote diagnostics, automation and digital fleet management help operators make the most of their equipment, minimize downtime and meet rigorous workplace safety requirements.
The increasing investment in infrastructure, warehouse automation, and the digitalization of industrial systems is also driving the intelligent deployment of cranes, hoists, forklifts and aerial lifting platforms. Konecranes announced the addition to its TRUCONNECT remote monitoring platform of new AI-powered predictive maintenance capabilities to enhance the real-time diagnostics and life cycle management of its machinery. Likewise, Tadano's Remote telematics and crane monitoring (IC-1) solution was expanded to make remote fleet management, operational analytics and preventative maintenance for mobile cranes possible.
Adjacent growth opportunities for the smart lifting equipment market include Industrial IoT (IIoT) Platforms, Predictive Maintenance Software, Construction Equipment Telematics, Warehouse Automation Systems, and Industrial Asset Management Solutions. The convergence of these technologies enables intelligent equipment monitoring, remote fleet management, automation, and data-driven maintenance strategies, enhancing operational efficiency and workplace safety.


The global smart lifting equipment market is consolidated, led by Konecranes Plc, KION Group AG, Liebherr-International AG, Columbus McKinnon Corporation, and Hyster-Yale, Inc. These companies compete through IoT-enabled lifting equipment, AI-powered fleet management, predictive maintenance, intelligent automation, telematics, and strong global service networks.
The Smart Lifting Equipment ecosystem comprises sensor and telematics providers, automation and control software vendors, electric motor and hydraulic component suppliers, equipment manufacturers, system integrators, cloud-based fleet management platforms, deployment across construction, logistics, manufacturing, mining, ports, and warehousing, followed by remote monitoring, maintenance, software upgrades, and lifecycle services.
The market has high entry barriers due to advanced automation technologies, AI and IoT integration, stringent safety regulations, high R&D costs, complex system integration, certification requirements, and extensive global distribution and aftermarket support networks.
Recent Development and Strategic Overview:|
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Market Size in 2025 |
USD 0.7 Bn |
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Market Forecast Value in 2035 |
USD 1.4 Bn |
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Growth Rate (CAGR) |
7.2% |
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Forecast Period |
2026 – 2035 |
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Historical Data Available for |
2021 – 2024 |
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Market Size Units |
US$ Billion for Value Thousand Units for Volume |
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Report Format |
Electronic (PDF) + Excel |
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North America |
Europe |
Asia Pacific |
Middle East |
Africa |
South America |
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Companies Covered |
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Segment |
Sub-segment |
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Smart Lifting Equipment Market, By Equipment Type |
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Smart Lifting Equipment Market, By Component |
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Smart Lifting Equipment Market, By Technology |
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Smart Lifting Equipment Market, By Lifting Capacity |
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Smart Lifting Equipment Market, By Power Source |
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Smart Lifting Equipment Market, By Mobility |
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Smart Lifting Equipment Market, By Connectivity |
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Smart Lifting Equipment Market, By Application |
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Smart Lifting Equipment Market, By End-Use Industry |
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Smart Lifting Equipment Market, By Sales Channel |
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Table of Contents
Note* - This is just tentative list of players. While providing the report, we will cover more number of players based on their revenue and share for each geography
Our research design integrates both demand-side and supply-side analysis through a balanced combination of primary and secondary research methodologies. By utilizing both bottom-up and top-down approaches alongside rigorous data triangulation methods, we deliver robust market intelligence that supports strategic decision-making.
MarketGenics' comprehensive research design framework ensures the delivery of accurate, reliable, and actionable market intelligence. Through the integration of multiple research approaches, rigorous validation processes, and expert analysis, we provide our clients with the insights needed to make informed strategic decisions and capitalize on market opportunities.
MarketGenics leverages a dedicated industry panel of experts and a comprehensive suite of paid databases to effectively collect, consolidate, and analyze market intelligence.
Our approach has consistently proven to be reliable and effective in generating accurate market insights, identifying key industry trends, and uncovering emerging business opportunities.
Through both primary and secondary research, we capture and analyze critical company-level data such as manufacturing footprints, including technical centers, R&D facilities, sales offices, and headquarters.
Our expert panel further enhances our ability to estimate market size for specific brands based on validated field-level intelligence.
Our data mining techniques incorporate both parametric and non-parametric methods, allowing for structured data collection, sorting, processing, and cleaning.
Demand projections are derived from large-scale data sets analyzed through proprietary algorithms, culminating in robust and reliable market sizing.
The bottom-up approach builds market estimates by starting with the smallest addressable market units and systematically aggregating them to create comprehensive market size projections.
This method begins with specific, granular data points and builds upward to create the complete market landscape.
Customer Analysis → Segmental Analysis → Geographical Analysis
The top-down approach starts with the broadest possible market data and systematically narrows it down through a series of filters and assumptions to arrive at specific market segments or opportunities.
This method begins with the big picture and works downward to increasingly specific market slices.
TAM → SAM → SOM
While analysing the market, we extensively study secondary sources, directories, and databases to identify and collect information useful for this technical, market-oriented, and commercial report. Secondary sources that we utilize are not only the public sources, but it is a combination of Open Source, Associations, Paid Databases, MG Repository & Knowledgebase, and others.
We also employ the model mapping approach to estimate the product level market data through the players' product portfolio
Primary research/ interviews is vital in analyzing the market. Most of the cases involves paid primary interviews. Primary sources include primary interviews through e-mail interactions, telephonic interviews, surveys as well as face-to-face interviews with the different stakeholders across the value chain including several industry experts.
| Type of Respondents | Number of Primaries |
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| Tier 2/3 Suppliers | ~20 |
| Tier 1 Suppliers | ~25 |
| End-users | ~25 |
| Industry Expert/ Panel/ Consultant | ~30 |
| Total | ~100 |
MG Knowledgebase
• Repository of industry blog, newsletter and case studies
• Online platform covering detailed market reports, and company profiles
Multiple Regression Analysis
Time Series Analysis – Seasonal Patterns
Time Series Analysis – Trend Analysis
Expert Opinion – Expert Interviews
Multi-Scenario Development
Time Series Analysis – Moving Averages
Econometric Models
Expert Opinion – Delphi Method
Monte Carlo Simulation
Our research framework is built upon the fundamental principle of validating market intelligence from both demand and supply perspectives. This dual-sided approach ensures comprehensive market understanding and reduces the risk of single-source bias.
Demand-Side Analysis: We understand end-user/application behavior, preferences, and market needs along with the penetration of the product for specific application.
Supply-Side Analysis: We estimate overall market revenue, analyze the segmental share along with industry capacity, competitive landscape, and market structure.
Data triangulation is a validation technique that uses multiple methods, sources, or perspectives to examine the same research question, thereby increasing the credibility and reliability of research findings. In market research, triangulation serves as a quality assurance mechanism that helps identify and minimize bias, validate assumptions, and ensure accuracy in market estimates.
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