자율형 지게차 시장 : 세계 산업 규모, 점유율, 동향, 기회, 예측(내비게이션 기술별, 추진 방식별, 용도별, 지역별), 경쟁 구도(2019-2029년)
Autonomous Forklift Market -Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Navigation Technology, By Propulsion Type, By Application, By Region & Competition, 2019-2029F
상품코드:1625052
리서치사:TechSci Research
발행일:2024년 12월
페이지 정보:영문 182 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
세계의 자율형 지게차 시장 규모는 2023년에 52억 7,000만 달러로, 예측 기간 중 CAGR은 9.55%로 2029년에는 90억 6,000만 달러에 달할 것으로 예측됩니다.
자율형 지게차 시장은 창고 관리 및 자재 취급 분야의 자동화 수요 증가로 인해 크게 성장하고 있으며, E-Commerce, 제조, 물류 등의 산업에서 업무 효율성, 정확성, 확장성을 우선시하는 추세로 인해 자율형 지게차 시장의 성장세를 주도하고 있습니다. 이 기계는 인건비 절감, 안전성 향상, 24시간 365일 가동 등의 이점을 제공하며, 스마트한 창고 및 물류센터에 필수적인 요소로 자리 잡고 있습니다. 인공지능, 머신러닝, 센서 기술의 발전은 내비게이션, 장애물 감지 및 전반적인 효율성을 더욱 향상시켜 시장 성장을 가속하고 있습니다. 지속가능성 추진은 에너지 효율과 배출량 감소라는 기업 목표에 부합하는 전기 및 자율주행 지게차의 채택을 증가시키고 있습니다.
시장 개요
예측 기간
2025-2029년
시장 규모(2023년)
52억 7,000만 달러
시장 규모(2029년)
90억 6,000만 달러
CAGR(2024-2029년)
9.55%
급성장 부문
전동식
최대 시장
북미
주요 동향에는 플릿 관리와 실시간 성능 모니터링을 위한 IoT 플랫폼과 자율 지게차의 통합이 포함됩니다. 리튬이온 배터리의 채택은 에너지 저장에 변화를 가져와 더 긴 수명과 빠른 충전을 제공합니다. 자율 지게차는 냉장 창고 및 대형 용도에서 고유한 과제를 해결해야 하는 과제를 안고 있습니다. 이 시장은 높은 초기 비용, 기술적 복잡성, 유지보수 필요성 등의 문제에 직면해 있으며, 이는 중소기업의 진입장벽이 될 수 있습니다. 표준화된 안전 규정의 부재와 레거시 시스템과의 호환성 문제도 도입의 걸림돌로 작용하고 있으며, 지속적인 혁신과 협력의 필요성이 강조되고 있습니다.
주요 시장 성장 촉진요인
창고·물류에서 자동화 수요 증가
AI와 센서 기술의 진보
노동력 부족과 비용 상승
주요 시장이 해결해야 할 과제
높은 초기 투자 비용
기술적 복잡성과 정비
표준화된 규제의 결여와 안전성에 대한 우려
주요 시장 동향
AI 주도 플릿 관리의 채택
냉장 창고에서 자율형 지게차의 성장
협동 로봇(코봇)과의 통합
목차
제1장 서론
제2장 분석 방법
제3장 개요
제4장 세계의 자율형 지게차 시장 전망
시장 규모·예측
금액 기반
시장 점유율·예측
내비게이션 기술별(레이저 유도, 시각 유도, Inductive Guidance, 자기 유도, 광테이프 유도, 기타)
추진 방식별(ICE, 전동식, 기타)
용도별(도매·소매 유통, 제조, 화물·물류, 기타)
지역별
상위 5사, 기타(2023년)
세계의 자율형 지게차 시장의 지도제작·기회 평가
내비게이션 기술별
추진 방식별
용도별
지역별
제5장 북미의 자율형 지게차 시장 전망
시장 규모·예측
금액별
시장 점유율·예측
내비게이션 기술별
추진 방식별
용도별
국가별
제6장 유럽·CIS 자율형 지게차 시장 전망
시장 규모·예측
금액별
시장 점유율·예측
내비게이션 기술별
추진 방식별
용도별
국가별
제7장 아시아태평양의 자율형 지게차 시장 전망
시장 규모·예측
금액별
시장 점유율·예측
내비게이션 기술별
추진 방식별
용도별
국가별
제8장 중동 및 아프리카의 자율형 지게차 시장 전망
시장 규모·예측
금액별
시장 점유율·예측
내비게이션 기술별
추진 방식별
용도별
국가별
제9장 남미의 자율형 지게차 시장 전망
시장 규모·예측
금액별
시장 점유율·예측
내비게이션 기술별
추진 방식별
용도별
국가별
제10장 시장 역학
촉진요인
과제
제11장 신형 코로나바이러스(COVID-19)의 영향 : 세계의 자율형 지게차 시장
제12장 시장 동향과 발전
제13장 경쟁 구도
기업 개요
Toyota Material Handling, Inc
KION GROUP AG
Crown Equipment Corporation
Hyster-Yale Materials Handling, Inc
Mitsubishi Logisnext Co., Ltd
Jungheinrich AG
DOOSAN BOBCAT KOREA
CLARK Material Handling Company
HD Hyundai Construction Equipment North America
ZHEJIANG HANGCHA IMP. & EXP. CO., LTD
제14장 전략적 제안·액션 플랜
주요 중점 분야
대상 : 내비게이션 기술별
대상 : 추진 방식별
제15장 TechSci Research 소개·면책사항
KSA
영문 목차
영문목차
The Global Autonomous Forklift market was valued at USD 5.27 Billion in 2023 and is expected to reach USD 9.06 Billion by 2029 with a CAGR of 9.55% during the forecast period. The autonomous forklift market is experiencing significant growth, driven by the increasing demand for automation in warehousing and material handling. Industries like e-commerce, manufacturing, and logistics prioritize operational efficiency, accuracy, and scalability, leading to widespread adoption of autonomous forklifts. These machines offer benefits such as reduced labor costs, enhanced safety, and 24/7 operational capabilities, making them integral to smart warehouses and distribution centers. Advancements in artificial intelligence, machine learning, and sensor technologies have further improved navigation, obstacle detection, and overall efficiency, boosting market growth. The push for sustainability has increased the adoption of electric autonomous forklifts, aligning with corporate goals for energy efficiency and emissions reduction.
Market Overview
Forecast Period
2025-2029
Market Size 2023
USD 5.27 Billion
Market Size 2029
USD 9.06 Billion
CAGR 2024-2029
9.55%
Fastest Growing Segment
Electric
Largest Market
North America
Key trends include the integration of autonomous forklifts with Internet of Things (IoT) platforms for fleet management and real-time performance monitoring. The adoption of lithium-ion batteries is transforming energy storage, offering longer lifespans and quicker charging. Opportunities exist in cold storage and heavy-duty applications, where autonomous forklifts address unique challenges. The market faces challenges such as high initial costs, technical complexity, and maintenance demands, which may deter small and medium-sized enterprises. The lack of standardized safety regulations and compatibility issues with legacy systems also pose barriers to adoption, emphasizing the need for continued innovation and collaboration.
Key Market Drivers
Increasing Demand for Automation in Warehousing and Logistics
The growing need for automation in warehousing and logistics is a significant driver for the autonomous forklift market. Warehousing facilities, driven by e-commerce expansion, require efficient and reliable handling solutions. Autonomous forklifts improve operational efficiency by minimizing human intervention, reducing errors, and ensuring consistent productivity. This demand is amplified by the need to optimize space utilization and reduce turnaround times. Industries like retail, food & beverages, and automotive are heavily investing in smart warehousing solutions, fostering the adoption of autonomous forklifts as a pivotal automation tool.
Advancements in AI and Sensor Technologies
Technological advancements in artificial intelligence (AI), machine learning (ML), and sensor integration are fueling the market's growth. Sophisticated sensors, such as LiDAR and cameras, enable forklifts to navigate complex environments, identify obstacles, and ensure precision handling. Enhanced computing capabilities allow real-time data processing, enabling autonomous forklifts to adapt to dynamic warehouse conditions. These innovations not only improve safety but also lower maintenance costs, making autonomous forklifts a more viable solution across diverse industries. For instance, in June 2023, BYD and Cyngn revealed footage of their AI-powered autonomous forklift, combining Cyngn's DriveMod technology with BYD's material handling vehicles. This innovation displayed labor shortages and enhances safety. Cyngn planned a 2024 commercial launch and invited customers to join the waitlist for early access.
Labor Shortages and Rising Costs
Labor shortages and rising wage rates are accelerating the transition to autonomous forklifts. With warehouses struggling to hire and retain skilled operators, automation offers a solution to mitigate workforce dependency. Autonomous forklifts reduce long-term labor costs, improve productivity during peak operational hours, and offer a scalable alternative to meet fluctuating demands, particularly in industries with seasonal variations like retail and agriculture.
Key Market Challenges
High Initial Investment Costs
The substantial upfront investment required for autonomous forklifts remains a key barrier. Businesses, particularly small and medium enterprises, find it challenging to justify the costs compared to conventional forklifts. Autonomous forklifts involve expenses not only for the equipment itself but also for the integration of supporting infrastructure such as sensors, software, and warehouse modifications. These high costs can deter adoption despite long-term operational benefits.
Technical Complexity and Maintenance
The technical sophistication of autonomous forklifts introduces challenges in terms of maintenance and troubleshooting. Advanced systems rely on AI, sensors, and connectivity, which require specialized expertise for installation, calibration, and repair. Downtime due to system malfunctions can disrupt operations, particularly in environments where seamless material handling is critical. These technical complexities necessitate skilled personnel, adding to operational costs.
Lack of Standardized Regulations and Safety Concerns
The absence of standardized safety regulations poses challenges for widespread adoption. Without universal guidelines, businesses face uncertainty regarding compliance and liability. Safety concerns are heightened in dynamic warehouse environments where autonomous forklifts must interact with human workers. The risk of accidents due to sensor failures or programming errors can deter organizations from fully embracing the technology.
Key Market Trends
Adoption of AI-Driven Fleet Management
AI-driven fleet management solutions are revolutionizing the logistics sector by enabling real-time tracking and optimization of autonomous forklifts. These advanced systems utilize predictive analytics to anticipate maintenance needs, which minimizes unexpected downtime and enhances overall operational efficiency. By continuously monitoring vehicle performance and health, businesses can make informed decisions about maintenance schedules, ultimately extending the lifespan of their equipment. The integration of these systems with Internet of Things (IoT) platforms allows for seamless data exchange, providing actionable insights that help streamline material handling processes. This capability not only improves productivity but also contributes to cost savings, making AI-powered fleet management an attractive investment for companies looking to enhance their operations.
Growth of Autonomous Forklifts in Cold Storage
The cold storage segment is rapidly emerging as a lucrative market for autonomous forklifts, driven by their ability to function effectively in extreme temperatures. These specialized forklifts are designed with temperature-resistant components that ensure reliable performance in environments unsuitable for human operators. As industries such as pharmaceuticals and frozen foods expand, the demand for automation in cold storage facilities is increasing. Autonomous forklifts can operate continuously without the fatigue that affects human workers, making them ideal for maintaining efficiency in temperature-sensitive environments. The ability to automate material handling in cold storage not only enhances productivity but also ensures compliance with stringent safety and quality standards, further driving the adoption of these technologies.
Integration with Collaborative Robots (Cobots)
Integration with collaborative robots (cobots) is another significant trend in the realm of autonomous forklifts, creating hybrid material handling solutions that enhance warehouse productivity. Cobots work alongside forklifts to perform tasks such as picking, sorting, and assembly, allowing for a more efficient workflow within warehouses. This collaborative approach underscores a broader shift towards automation where human workers and machines operate in synergy rather than competition. The combination of autonomous forklifts and cobots enables businesses to optimize their labor force while improving accuracy and speed in operations. As companies seek to enhance their material handling capabilities, the integration of these technologies presents exciting opportunities for innovation and growth in the logistics sector.
Segmental Insights
Navigation Technology Insights
In 2023, laser guidance emerged as the dominant segment in the global autonomous forklift market, capturing significant attention and adoption due to its precision and reliability. Laser-guided forklifts utilize advanced sensors and reflectors to navigate with exceptional accuracy, making them highly efficient in complex warehouse and industrial environments. This navigation technology enables forklifts to map surroundings, identify obstacles, and follow predefined routes seamlessly, ensuring optimal safety and productivity. The rising demand for automation in logistics and manufacturing sectors has been a key driver for the adoption of laser-guided systems, as these systems reduce human intervention and operational errors.
The ability to adapt to dynamic environments and real-time changes makes laser guidance particularly suited for high-traffic facilities where flexibility is crucial. This segment has also benefited from advancements in sensor technology and integration with warehouse management systems, which enhance operational efficiency. Industries such as e-commerce, automotive, and food and beverage, which require high levels of precision and speed in material handling, have increasingly adopted laser-guided forklifts to streamline operations and reduce downtime.
Cost-effectiveness over time has also played a significant role in the segment's dominance. While the initial investment in laser-guided forklifts may be higher compared to other navigation technologies, their long-term benefits, including reduced maintenance costs and enhanced productivity, make them a preferred choice for businesses aiming for sustainable growth. Scalability and ease of customization further contribute to their widespread acceptance, as they can be tailored to suit specific operational requirements without major disruptions.
Regional Insights
North America dominated market for autonomous forklifts due to several key factors, including technological leadership, robust industrial infrastructure, and a growing demand for automation in logistics and warehousing. The region has been at the forefront of technological advancements in robotics, artificial intelligence (AI), and sensor technologies, which are essential for the development of autonomous forklifts. North American companies are early adopters of automation solutions, driven by the need for greater operational efficiency, reduced labor costs, and enhanced safety in warehouses and distribution centers.
The rapid growth of e-commerce in North America has also contributed to the increasing demand for autonomous forklifts. As online retail continues to expand, warehouses are required to handle large volumes of inventory efficiently, with minimal human intervention. Autonomous forklifts offer a scalable solution, capable of operating 24/7, thereby increasing throughput and reducing bottlenecks in warehousing operations. Moreover, the region's advanced logistics and supply chain infrastructure supports the adoption of autonomous material handling equipment, creating a favorable environment for the growth of the market.
Labor shortages and high operational costs further drive the need for automation in North America. The region faces a growing demand for skilled workers, and autonomous forklifts help mitigate labor challenges by providing efficient, continuous operations with minimal human involvement. Government initiatives and investments in automation technologies have bolstered industry adoption. These factors combined make North America a leader in the autonomous forklift market, driving innovation and widespread deployment across various industries.
Key Market Players
Toyota Material Handling, Inc
KION GROUP AG
Crown Equipment Corporation
Hyster-Yale Materials Handling, Inc
Mitsubishi Logisnext Co., Ltd
Jungheinrich AG
DOOSAN BOBCAT KOREA
CLARK Material Handling Company
HD Hyundai Construction Equipment North America
ZHEJIANG HANGCHA IMP. & EXP. CO., LTD
Report Scope:
In this report, the Global Autonomous Forklift market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Autonomous Forklift Market, By Navigation Technology:
Laser Guidance
Vision Guidance
Inductive Guidance
Magnetic Guidance
Optical Tape Guidance
Others
Autonomous Forklift Market, By Propulsion Type:
ICE
Electric
Others
Autonomous Forklift Market, By Application:
Wholesale & Retail Distribution
Manufacturing
Freight & Logistics
Others
Autonomous Forklift Market, By Region:
North America
United States
Canada
Mexico
Europe & CIS
France
Germany
Spain
Italy
United Kingdom
Rest of Europe
Asia-Pacific
China
Japan
India
Vietnam
South Korea
Thailand
Australia
Middle East & Africa
South Africa
Saudi Arabia
UAE
Turkey
South America
Brazil
Argentina
Competitive Landscape
Company Profiles: Detailed analysis of the major companies present in the Global Autonomous Forklift Market.
Available Customizations:
Global Autonomous Forklift Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
Detailed analysis and profiling of additional market players (up to five).
Table of Contents
1. Introduction
1.1. Market Overview
1.2. Key Highlights of the Report
1.3. Market Coverage
1.4. Market Segments Covered
1.5. Research Tenure Considered
2. Research Methodology
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. Executive Summary
3.1. Market Overview
3.2. Market Forecast
3.3. Key Regions
3.4. Key Segments
4. Global Autonomous Forklift Market Outlook
4.1. Market Size & Forecast
4.1.1. By Value
4.2. Market Share & Forecast
4.2.1. By Navigation Technology Market Share Analysis (Laser Guidance, Vision Guidance, Inductive Guidance, Magnetic Guidance, Optical Tape Guidance, Others)
4.2.2. By Propulsion Type Market Share Analysis (ICE, Electric, Others)
