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시장보고서
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1866699

세계의 광산 무인 운전 시장 : 시장 점유율과 순위, 전체 판매 및 수요 예측(2025-2031년)

Mining Unmanned Driving - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031
발행일: | 리서치사: QYResearch | 페이지 정보: 영문 | 배송안내 : 2-3일 (영업일 기준)

    
    
    




■ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송일정은 문의해 주시기 바랍니다.

세계의 광산 무인 운전 시장 규모는 2024년에 11억 8,200만 달러로 추정되며, 2025년부터 2031년까지 예측 기간 동안 CAGR 13.0%로 성장하여 2031년까지 25억 9,500만 달러로 확대될 것으로 예측됩니다.

중국의 경제 기반과 에너지 안보에 매우 중요한 핵심 산업인 광업은 안전, 효율, 녹색 발전, 경제 효율을 추구하는 지적 발전을 추진해야 합니다. 무인 광산 차량 기술은 지능형 광산 전략에서 중요한 역할을 하고 있습니다. 스마트 광산은 사물인터넷(IoT), 클라우드 컴퓨팅, 빅데이터, 인공지능(AI), 자동 제어, 산업용 인터넷, 로봇 장비를 현대 광산 개발 기술과 통합하여 광산의 종합적인 인식, 실시간 연결, 분석적 의사결정, 자율 학습, 동적 예측, 협동 제어를 갖춘 완전한 지능형 시스템을 구축합니다. 협동 제어를 갖춘 완벽한 지능형 시스템을 구축합니다. 이를 통해 전체 프로세스 전반에 걸쳐 지능적인 운영이 가능합니다. 광산은 자율주행 기술의 핵심적인 전개 시나리오이며, 스마트 광산의 하위 시스템인 자율채광은 그 핵심적인 역할을 담당하고 있습니다. 본 보고서에서는 자율 채굴 시스템 및 솔루션에 초점을 맞추고 있습니다.

자율형 광산 시장의 주요 촉진요인은 다음과 같습니다:

1. 안전 수요와 인건비 상승

잦은 안전사고 : 광산 환경은 복잡하고, 천장 붕괴, 암석 박리 등 안전 위험이 존재합니다. 예를 들어, 2023년 장시성 신안현에서 발생한 광산 사고로 4명이 사망한 사건은 수작업으로 인한 작업의 위험성을 부각시켰습니다.

인건비 상승 : 광업에서 인건비는 큰 비중을 차지하며, 인력 확보도 어렵습니다. 자동운전 기술로 갱내 작업인원을 줄일 수 있습니다. 예를 들어, 화이난 광업은 자동운전 지원 운반 로봇 도입 후 연간 300만 위안의 인건비 절감을 실현했습니다.

정책 주도의 안전 강화 : 정부는 '석탄 광산 안전 개혁을 위한 중앙 예산 투자 특별 관리 조치'와 같은 정책을 시행하여 광산 기업에 안전 기준 향상을 의무화하고 자동화 기술 채택을 촉진하고 있습니다.

2. 효율성 향상 및 운영 최적화

24시간 연속 운행 : 자율주행 시스템(예 : 이지엔 지능운전 무인전기자동차)을 통해 주야간 중단 없는 운송이 가능해져 하루 유효 운행시간이 11시간으로 늘어났습니다. 이는 수동 운전보다 훨씬 높은 수치입니다.

운송 효율성 향상 : 지능형 스케줄링으로 경로를 최적화하고, 공차 주행 및 이동 시간을 줄입니다. 예를 들어, 해대도 노천탄광의 무인 트럭 하역 시간은 각각 50초, 60초 단축되어 전체 운영 효율이 10% 향상되었습니다.

자원 이용률 향상 : 자동화 기술을 통해 광산에서 채굴 작업의 정밀화를 실현하고 있습니다. 예를 들어, 발파 파라미터의 최적화를 통해 광석 파쇄율을 90%까지 향상시켜 후속 파쇄 공정의 에너지 소비를 줄였습니다.

3. 정책적 지원과 지능화 전환 동향

중앙정부 보조금 : 국가발전개혁위원회는 대상 탄광 안전 개조 프로젝트에 대해 투자금액의 최대 25%(최대 3,000만 위안)의 보조금을 지원하여 기업의 지능화 전환 비용을 직접적으로 절감하고 있습니다.

표준체계 구축 : 국가능원국은 '지능화 탄광 표준체계 구축 가이드라인'을 공표하고 2025년까지 완전한 표준체계를 구축하여 기술 도입에 대한 가이드라인을 제공한다고 명시했습니다.

민간기업 참여 촉진 : 산시성은 정보기술, 지능화 설비 등 분야의 연구개발 및 응용을 통해 민간기업의 지능화 탄광 개발 참여를 지원하는 정책을 도입하여 다양한 시장경쟁을 촉진하고 있습니다.

안전에 대한 압력, 효율성 요구 및 유리한 정책에 힘 입어, 광산에서의 자동 운전 시장은 시범 프로젝트에서 대규모 응용으로의 전환을 가속화하고 있습니다. 향후 5년간 시장 규모는 수백억 위안에 달할 것으로 예상됩니다.

이 보고서는 세계 광산 무인 운전 시장에 대해 총 매출액, 주요 기업의 시장 점유율 및 순위를 중심으로 지역별, 국가별, 유형별, 용도별 분석을 종합적으로 제시하는 것을 목적으로 합니다.

본 보고서는 2024년을 기준 연도로 하여 2020년부터 2031년까지의 과거 데이터와 예측 데이터를 포함하여 광산 무인 운전 시장의 규모, 추정치, 예측치를 매출액으로 제시하였습니다. 정량적, 정성적 분석을 통해 독자들이 비즈니스/성장 전략 수립, 시장 경쟁 평가, 현재 시장에서의 포지셔닝 분석, 광산 무인화 관련 정보에 입각한 비즈니스 의사결정을 내리는데 도움을 드리고자 합니다.

시장 세분화

기업별

  • 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

유형별 부문

  • 대형 트럭 자율주행
  • 와이드바디 덤프트럭 자율주행
  • 기타

용도별 부문

  • 석탄 광산
  • 금속 광산
  • 비금속 광산

지역별

  • 북미
    • 미국
    • 캐나다
  • 아시아태평양
    • 중국
    • 일본
    • 한국
    • 동남아시아
    • 인도
    • 호주
    • 기타 아시아태평양
  • 유럽
    • 독일
    • 프랑스
    • 영국
    • 이탈리아
    • 네덜란드
    • 북유럽 국가
    • 기타 유럽
  • 라틴아메리카
    • 멕시코
    • 브라질
    • 기타 라틴아메리카
  • 중동 및 아프리카
    • 튀르키예
    • 사우디아라비아
    • 아랍에미리트
    • 기타 중동 및 아프리카
KSM 25.11.26

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.

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.

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.

This report aims to provide a comprehensive presentation of the global market for Mining Unmanned Driving, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Mining Unmanned Driving by region & country, by Type, and by Application.

The Mining Unmanned Driving market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Mining Unmanned Driving.

Market Segmentation

By Company

  • 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

Segment by Type

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

Segment by Application

  • Coal Mines
  • Metal Mines
  • Non-metallic Mines

By Region

  • North America
    • United States
    • Canada
  • Asia-Pacific
    • China
    • Japan
    • South Korea
    • Southeast Asia
    • India
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Netherlands
    • Nordic Countries
    • Rest of Europe
  • Latin America
    • Mexico
    • Brazil
    • Rest of Latin America
  • Middle East & Africa
    • Turkey
    • Saudi Arabia
    • UAE
    • Rest of MEA

Chapter Outline

Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 2: Detailed analysis of Mining Unmanned Driving company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.

Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 5: Revenue of Mining Unmanned Driving in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.

Chapter 6: Revenue of Mining Unmanned Driving in country level. It provides sigmate data by Type, and by Application for each country/region.

Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.

Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.

Chapter 9: Conclusion.

Table of Contents

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
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