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Mining Unmanned Driving Market Set for Rapid Expansion Growth at a CAGR of 13.0% by 2031 | Caterpillar, Komatsu, Volvo

10-29-2025 12:22 PM CET | Advertising, Media Consulting, Marketing Research

Press release from: QYResearch.Inc

Mining Unmanned Driving Market

Mining Unmanned Driving Market

Los Angeles, United States - QY Research has unveiled its latest study titled "Global Mining Unmanned Driving Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031." This newly released report delivers a comprehensive overview of the global Mining Unmanned Driving market, analyzing the forces shaping its growth trajectory and providing valuable insights for stakeholders, investors, and industry professionals. the research covers key areas including market dynamics, segmentation, regional performance, competitive landscape, and emerging technology trends that are redefining industry standards. Backed by reliable data and expert analysis, the report serves as a trusted guide to understanding both microeconomic and macroeconomic factors driving market evolution.

The global market for Mining Unmanned Driving was estimated to be worth US$ 1182 million in 2024 and is forecast to a readjusted size of US$ 2595 million by 2031 with a CAGR of 13.0% during the forecast period 2025-2031.

Download Free Sample PDF Report (with full TOC, tables, and charts) To Explore Detailed Insights and Forecasts @ https://qyresearch.in/request-sample/service-software-global-mining-unmanned-driving-market-share-and-ranking-overall-sales-and-demand-forecast-2025-2031

The research report also includes the global Mining Unmanned Driving market figures that provide historical data as well as estimated figures. It gives a clear picture of the growth rate of the market during the forecast period. The Mining Unmanned Driving report aims to give the readers quantifiable data that is collected from verified data. The report attempts to answer all the difficult questions such as market sizes and company strategies.

As a vital foundational industry crucial to China's economic lifeline and energy security, the mining industry must embrace intelligent development, driving it towards safety, efficiency, green development, and economic efficiency. Unmanned mining vehicle technology plays a crucial role in intelligent mining strategies. Smart mines integrate the Internet of Things (IoT), cloud computing, big data, artificial intelligence (AI), automated control, the Industrial Internet, and robotic equipment with modern mining development technologies to create a complete intelligent system with comprehensive mine perception, real-time connectivity, analytical decision-making, autonomous learning, dynamic prediction, and collaborative control, enabling intelligent operation throughout the entire process. Mines are a core deployment scenario for autonomous driving, and autonomous mining, as a subsystem of smart mines, plays a crucial role. This report focuses on autonomous mining systems and solutions.

Competitive Landscape: -

Caterpillar
Tage IDriver Technology
Volvo
Komatsu
Xidi Intelligent Driving Technology
Zhongke Huituo
ROCK-AI
Rio Tinto
Sany Intelligent Mining
Maxsense Technology
Eacon Group
Autonomous Solutions (ASI)
Boonray Technology
Baidu Apollo
Yuexin Intelligent
Hefei Gocom Information Technology
Westwell Technology

The competitive landscape is a must-have information for the market players to withstand the competition present in the global Mining Unmanned Driving market. This further helps the market participants to develop effective strategies to optimize their market positions. Moreover, the competitive analysis helps them to determine potential advantages as well as barriers within the global Mining Unmanned Driving market. This way, they can monitor how their competitors are implementing various strategies including pricing, marketing, and distribution.

The main drivers of the autonomous mining market include the following:-

1. Safety Demand and Rising Labor Costs

Frequent Safety Accidents: Mining environments are complex, posing safety hazards such as roof collapse and rock spalling. For example, a mine accident in Xingan County, Jiangxi Province in 2023 resulted in four deaths, highlighting the high risks of manual operations.

High Labor Costs: Labor costs account for a significant proportion of the mining industry, and recruitment is difficult. Autonomous driving can reduce the number of underground workers. For example, Huainan Mining has saved 3 million yuan in labor costs annually after implementing autonomous assisted transport robots.

Policy-Driven Safety Upgrades: The government has implemented policies such as the "Special Management Measures for Central Budget Investment in Coal Mine Safety Reform," mandating that mining companies improve safety standards and promoting the adoption of automation technology.

2. Efficiency Improvement and Operational Optimization

24-Hour Continuous Operation: Autonomous driving systems (such as EasyControl Intelligent Driving Unmanned Electric Vehicles) enable uninterrupted transportation around the clock, increasing daily effective operating hours to 11 hours, significantly higher than manual operations.

Improved Transportation Efficiency: Intelligent scheduling optimizes routes, reducing empty loads and trip times. For example, the loading and unloading times of unmanned trucks at the Heidaigou open-pit coal mine have been reduced by 50 and 60 seconds, respectively, increasing overall operational efficiency by 10%.

Improved Resource Utilization: Automation technology is enabling refined mining operations in mines. For example, optimizing blasting parameters has increased the ore fragmentation rate to 90%, reducing energy consumption in subsequent crushing.

3. Policy Support and Intelligent Transformation Trends

Central Government Subsidies: The National Development and Reform Commission provides investment subsidies of up to 25% for eligible coal mine safety renovation projects, capped at 30 million yuan, directly reducing the cost of intelligent transformation for enterprises.

Standard System Construction: The National Energy Administration has issued the "Guidelines for the Construction of an Intelligent Coal Mine Standard System," clearly stating that a complete standard system will be established by 2025 to provide guidelines for the implementation of the technology.

Encouraging Private Enterprise Participation: Shanxi Province has introduced policies to support private enterprises in participating in intelligent coal mine development, conducting research and development and application in areas such as information technology and intelligent equipment, and promoting diversified market competition.

Driven by safety pressures, efficiency demands, and favorable policies, the autonomous driving market in mines is accelerating its transition from pilot projects to large-scale applications. The market is expected to reach tens of billions of yuan in the next five years.

Regional Insights -

The report takes readers on a journey through four key regions: United States, Asia-Pacific, and EMEA. Key nations like the United States, Germany, the United Kingdom, China, Japan, South Korea, and more are thoroughly examined. The data is presented in a timeline from 2024 as the base year, with projections extending to 2031.

North America: United States, Canada, Mexico

Latin America: Brazil and other key markets

Asia Pacific: China, Japan, South Korea, India, ASEAN countries

Europe, Middle East & Africa (EMEA): Major European economies, GCC countries, and African nations

The report provides a region-wise breakdown of market share, consumption trends, and future prospects.

Detailed of Mining Unmanned Driving Market Segmentation -

The report offers great insights into important segments of the global Mining Unmanned Driving market while concentrating on their CAGR, market size, market share, and future growth potential. The global Mining Unmanned Driving market is mainly segmented according to type of product, application, and region. Each segment in these categories is extensively researched to become familiar with their growth prospects and key trends. Segmental analysis is highly important to identify key growth pockets of a global market. The report provides specific information on the market growth and demand of different products and applications to help players to focus on profitable areas of the global Mining Unmanned Driving market.

Segmentation By Type :-

Large Truck Autonomous Driving
Wide-body Dump Truck Autonomous Driving
Others

Segmentation By Application -

Coal Mines
Metal Mines
Non-metallic Mines

This segmentation helps identify high-growth opportunities and niche segments for investors and businesses.

Request for Pre-Order Enquiry On This Exclusive Report @ https://qyresearch.in/pre-order-inquiry/service-software-global-mining-unmanned-driving-market-share-and-ranking-overall-sales-and-demand-forecast-2025-2031

Why This Report is a Must-Have -

ᗒ Historical Analysis (2020-2024) & Forecasts (2025-2031): Gain a clear understanding of market trends and future growth potential.

ᗒ Comprehensive Market Segmentation: Detailed breakdown by Type, Application, and Region to identify lucrative opportunities.

ᗒ Competitive Landscape: Insights into key players, their market share, and strategic developments like mergers, acquisitions, and expansion plans.

ᗒ Drivers & Restraints: Understand the factors shaping the market's growth and the challenges that could impact your strategy.

ᗒ Expert Opinions & Market Dynamics: Benefit from expert analysis to navigate market risks and capitalize on emerging trends.

Mining Unmanned Driving Market Report Objectives -

(1) Analyzing the size of the global Mining Unmanned Driving market on the basis of value and volume

(2) Accurately calculating the market shares, consumption, and other vital factors of different segments of the global Mining Unmanned Driving market

(3) Exploring key dynamics of the global Mining Unmanned Driving market

(4) Highlighting important trends of the global Mining Unmanned Driving market in terms of production, revenue, and sales

(5) Deeply profiling top players of the global Mining Unmanned Driving market and showing how they compete in the industry

(6) Studying manufacturing processes and costs, product pricing, and various trends related to them

(7) Showing the performance of different regions and countries in the global Mining Unmanned Driving market

(8) Forecasting the market size and share of all segments, regions, and the global market.

Important Questions Answered included in the Report:-

(A) What is the market size and growth rate of the global and regional market by various segments?

(B) What is the market size and growth rate of the market for selective Countries?

(C) Which region or sub-segment is expected to drive the market in the forecast period?

(D) What factors are estimated to drive and restrain the market growth?

(E) What are the key technology and market trends shaping the market?

(F) what are the key opportunity in the market?

(G) Who are the leading manufacturers operating in the global Mining Unmanned Driving market?

(H) Which key player accounted for the highest market share?

(I) What are the growth opportunities for the new entrants in the global Mining Unmanned Driving market?

Table of Contents - Major Key Points:

1 Market Overview
1.1 Mining Unmanned Driving Product Introduction
1.2 Global Mining Unmanned Driving Market Size Forecast (2020-2031)
1.3 Mining Unmanned Driving Market Trends & Drivers
1.3.1 Mining Unmanned Driving Industry Trends
1.3.2 Mining Unmanned Driving Market Drivers & Opportunity
1.3.3 Mining Unmanned Driving Market Challenges
1.3.4 Mining Unmanned Driving Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Mining Unmanned Driving Players Revenue Ranking (2024)
2.2 Global Mining Unmanned Driving Revenue by Company (2020-2025)
2.3 Key Companies Mining Unmanned Driving Manufacturing Base Distribution and Headquarters
2.4 Key Companies Mining Unmanned Driving Product Offered
2.5 Key Companies Time to Begin Mass Production of Mining Unmanned Driving
2.6 Mining Unmanned Driving Market Competitive Analysis
2.6.1 Mining Unmanned Driving Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by Mining Unmanned Driving Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Mining Unmanned Driving as of 2024)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Large Truck Autonomous Driving
3.1.2 Wide-body Dump Truck Autonomous Driving
3.1.3 Others
3.2 Global Mining Unmanned Driving Sales Value by Type
3.2.1 Global Mining Unmanned Driving Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global Mining Unmanned Driving Sales Value, by Type (2020-2031)
3.2.3 Global Mining Unmanned Driving Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Coal Mines
4.1.2 Metal Mines
4.1.3 Non-metallic Mines
4.2 Global Mining Unmanned Driving Sales Value by Application
4.2.1 Global Mining Unmanned Driving Sales Value by Application (2020 VS 2024 VS 2031)
4.2.2 Global Mining Unmanned Driving Sales Value, by Application (2020-2031)
4.2.3 Global Mining Unmanned Driving Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
5.1 Global Mining Unmanned Driving Sales Value by Region
5.1.1 Global Mining Unmanned Driving Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global Mining Unmanned Driving Sales Value by Region (2020-2025)
5.1.3 Global Mining Unmanned Driving Sales Value by Region (2026-2031)
5.1.4 Global Mining Unmanned Driving Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America Mining Unmanned Driving Sales Value, 2020-2031
5.2.2 North America Mining Unmanned Driving Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe Mining Unmanned Driving Sales Value, 2020-2031
5.3.2 Europe Mining Unmanned Driving Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific Mining Unmanned Driving Sales Value, 2020-2031
5.4.2 Asia Pacific Mining Unmanned Driving Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America Mining Unmanned Driving Sales Value, 2020-2031
5.5.2 South America Mining Unmanned Driving Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa Mining Unmanned Driving Sales Value, 2020-2031
5.6.2 Middle East & Africa Mining Unmanned Driving Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Mining Unmanned Driving Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions Mining Unmanned Driving Sales Value, 2020-2031
6.3 United States
6.3.1 United States Mining Unmanned Driving Sales Value, 2020-2031
6.3.2 United States Mining Unmanned Driving Sales Value by Type (%), 2024 VS 2031
6.3.3 United States Mining Unmanned Driving Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe Mining Unmanned Driving Sales Value, 2020-2031
6.4.2 Europe Mining Unmanned Driving Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe Mining Unmanned Driving Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China Mining Unmanned Driving Sales Value, 2020-2031
6.5.2 China Mining Unmanned Driving Sales Value by Type (%), 2024 VS 2031
6.5.3 China Mining Unmanned Driving Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan Mining Unmanned Driving Sales Value, 2020-2031
6.6.2 Japan Mining Unmanned Driving Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan Mining Unmanned Driving Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea Mining Unmanned Driving Sales Value, 2020-2031
6.7.2 South Korea Mining Unmanned Driving Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea Mining Unmanned Driving Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia Mining Unmanned Driving Sales Value, 2020-2031
6.8.2 Southeast Asia Mining Unmanned Driving Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia Mining Unmanned Driving Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India Mining Unmanned Driving Sales Value, 2020-2031
6.9.2 India Mining Unmanned Driving Sales Value by Type (%), 2024 VS 2031
6.9.3 India Mining Unmanned Driving Sales Value by Application, 2024 VS 2031
7 Company Profiles
7.1 Caterpillar
7.1.1 Caterpillar Profile
7.1.2 Caterpillar Main Business
7.1.3 Caterpillar Mining Unmanned Driving Products, Services and Solutions
7.1.4 Caterpillar Mining Unmanned Driving Revenue (US$ Million) & (2020-2025)
7.1.5 Caterpillar Recent Developments
7.2 Tage IDriver Technology
7.2.1 Tage IDriver Technology Profile
7.2.2 Tage IDriver Technology Main Business
7.2.3 Tage IDriver Technology Mining Unmanned Driving Products, Services and Solutions
7.2.4 Tage IDriver Technology Mining Unmanned Driving Revenue (US$ Million) & (2020-2025)
7.2.5 Tage IDriver Technology Recent Developments
7.3 Volvo
7.3.1 Volvo Profile
7.3.2 Volvo Main Business
7.3.3 Volvo Mining Unmanned Driving Products, Services and Solutions
7.3.4 Volvo Mining Unmanned Driving Revenue (US$ Million) & (2020-2025)
7.3.5 Volvo Recent Developments
7.4 Komatsu
7.4.1 Komatsu Profile
7.4.2 Komatsu Main Business
7.4.3 Komatsu Mining Unmanned Driving Products, Services and Solutions
7.4.4 Komatsu Mining Unmanned Driving Revenue (US$ Million) & (2020-2025)
7.4.5 Komatsu Recent Developments
7.5 Xidi Intelligent Driving Technology
7.5.1 Xidi Intelligent Driving Technology Profile
7.5.2 Xidi Intelligent Driving Technology Main Business
7.5.3 Xidi Intelligent Driving Technology Mining Unmanned Driving Products, Services and Solutions
7.5.4 Xidi Intelligent Driving Technology Mining Unmanned Driving Revenue (US$ Million) & (2020-2025)
7.5.5 Xidi Intelligent Driving Technology Recent Developments
7.6 Zhongke Huituo
7.6.1 Zhongke Huituo Profile
7.6.2 Zhongke Huituo Main Business
7.6.3 Zhongke Huituo Mining Unmanned Driving Products, Services and Solutions
7.6.4 Zhongke Huituo Mining Unmanned Driving Revenue (US$ Million) & (2020-2025)
7.6.5 Zhongke Huituo Recent Developments
7.7 ROCK-AI
7.7.1 ROCK-AI Profile
7.7.2 ROCK-AI Main Business
7.7.3 ROCK-AI Mining Unmanned Driving Products, Services and Solutions
7.7.4 ROCK-AI Mining Unmanned Driving Revenue (US$ Million) & (2020-2025)
7.7.5 ROCK-AI Recent Developments
7.8 Rio Tinto
7.8.1 Rio Tinto Profile
7.8.2 Rio Tinto Main Business
7.8.3 Rio Tinto Mining Unmanned Driving Products, Services and Solutions
7.8.4 Rio Tinto Mining Unmanned Driving Revenue (US$ Million) & (2020-2025)
7.8.5 Rio Tinto Recent Developments
7.9 Sany Intelligent Mining
7.9.1 Sany Intelligent Mining Profile
7.9.2 Sany Intelligent Mining Main Business
7.9.3 Sany Intelligent Mining Mining Unmanned Driving Products, Services and Solutions
7.9.4 Sany Intelligent Mining Mining Unmanned Driving Revenue (US$ Million) & (2020-2025)
7.9.5 Sany Intelligent Mining Recent Developments
7.10 Maxsense Technology
7.10.1 Maxsense Technology Profile
7.10.2 Maxsense Technology Main Business
7.10.3 Maxsense Technology Mining Unmanned Driving Products, Services and Solutions
7.10.4 Maxsense Technology Mining Unmanned Driving Revenue (US$ Million) & (2020-2025)
7.10.5 Maxsense Technology Recent Developments
7.11 Eacon Group
7.11.1 Eacon Group Profile
7.11.2 Eacon Group Main Business
7.11.3 Eacon Group Mining Unmanned Driving Products, Services and Solutions
7.11.4 Eacon Group Mining Unmanned Driving Revenue (US$ Million) & (2020-2025)
7.11.5 Eacon Group Recent Developments
7.12 Autonomous Solutions (ASI)
7.12.1 Autonomous Solutions (ASI) Profile
7.12.2 Autonomous Solutions (ASI) Main Business
7.12.3 Autonomous Solutions (ASI) Mining Unmanned Driving Products, Services and Solutions
7.12.4 Autonomous Solutions (ASI) Mining Unmanned Driving Revenue (US$ Million) & (2020-2025)
7.12.5 Autonomous Solutions (ASI) Recent Developments
7.13 Boonray Technology
7.13.1 Boonray Technology Profile
7.13.2 Boonray Technology Main Business
7.13.3 Boonray Technology Mining Unmanned Driving Products, Services and Solutions
7.13.4 Boonray Technology Mining Unmanned Driving Revenue (US$ Million) & (2020-2025)
7.13.5 Boonray Technology Recent Developments
7.14 Baidu Apollo
7.14.1 Baidu Apollo Profile
7.14.2 Baidu Apollo Main Business
7.14.3 Baidu Apollo Mining Unmanned Driving Products, Services and Solutions
7.14.4 Baidu Apollo Mining Unmanned Driving Revenue (US$ Million) & (2020-2025)
7.14.5 Baidu Apollo Recent Developments
7.15 Yuexin Intelligent
7.15.1 Yuexin Intelligent Profile
7.15.2 Yuexin Intelligent Main Business
7.15.3 Yuexin Intelligent Mining Unmanned Driving Products, Services and Solutions
7.15.4 Yuexin Intelligent Mining Unmanned Driving Revenue (US$ Million) & (2020-2025)
7.15.5 Yuexin Intelligent Recent Developments
7.16 Hefei Gocom Information Technology
7.16.1 Hefei Gocom Information Technology Profile
7.16.2 Hefei Gocom Information Technology Main Business
7.16.3 Hefei Gocom Information Technology Mining Unmanned Driving Products, Services and Solutions
7.16.4 Hefei Gocom Information Technology Mining Unmanned Driving Revenue (US$ Million) & (2020-2025)
7.16.5 Hefei Gocom Information Technology Recent Developments
7.17 Westwell Technology
7.17.1 Westwell Technology Profile
7.17.2 Westwell Technology Main Business
7.17.3 Westwell Technology Mining Unmanned Driving Products, Services and Solutions
7.17.4 Westwell Technology Mining Unmanned Driving Revenue (US$ Million) & (2020-2025)
7.17.5 Westwell Technology Recent Developments
8 Industry Chain Analysis
8.1 Mining Unmanned Driving Industrial Chain
8.2 Mining Unmanned Driving Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Mining Unmanned Driving Sales Model
8.5.2 Sales Channel
8.5.3 Mining Unmanned Driving Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer

About Us:

QYResearch established as a research firm in 2007 and have since grown into a trusted brand amongst many industries. Over the years, we have consistently worked toward delivering high-quality customized solutions for wide range of clients ranging from ICT to healthcare industries. With over 50,000 satisfied clients, spread over 80 countries, we have sincerely strived to deliver the best analytics through exhaustive research methodologies.

Contact Us:

Arshad Shaha | Marketing Executive

QY Research, INC.
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Survey No. 222/1, Plot No. 25, 6th Floor,
Kayani Nagar, Yervada, Pune 411006, Maharashtra
Tel: +91-8669986909
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Web - https://www.qyresearch.in

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