Logistics Automation Market by Offering (Automated Guided Vehicles (AGVs), Autonomous Mobile Robots (AMRs), Automated Storage & Retrieval Systems, Conveyors, Warehouse Management Systems), Technology (RPA, Big Data, Blockchain) - Global Forecast to 2029
물류 자동화 시장 규모는 2024년 351억 4,000만 달러로 추정되고, 2029년 525억 3,000만 달러로 성장할 전망이며, 예측 기간 동안 CAGR은 8.4%가 될 것으로 예측됩니다.
이 시장의 성장이 예상되는 배경으로는 온라인 소매의 상승과 신속한 배송 수요, 물류 시스템의 AI, 머신러닝, IoT의 통합, 노동력 부족의 심각화 및 인건비의 상승 등이 있어 기업은 업무 효율을 유지하기 위해 로봇과 같은 자동화 기술에 투자하고 있습니다. 그러나 로봇공학, AI, 자율주행차를 포함한 자동화 기술의 도입에는 엄청난 비용이 들고, 자동화된 물류 시스템의 예기치 않은 다운타임에 의해 물류 업무가 중단되어 재무적 손실로 이어질 가능성이 있기 때문에 성장이 억제될 수 있습니다.
| 조사 범위 |
| 조사 대상년도 |
2019-2029년 |
| 기준년 |
2023년 |
| 예측 기간 |
2024-2029년 |
| 검토 단위 |
10억 달러 |
| 부문별 |
제공 제품별, 물류 유형별, 기술별, 최종 사용자별, 지역별 |
| 대상 지역 |
북미, 유럽, 아시아태평양, 중동, 아프리카, 라틴아메리카 |
전자상거래와 대량 재고 관리를 통해 최적화된 창고 공간에 대한 수요가 높아지면서 물류 자동화는 스토리지 솔루션 부문이 가장 큰 시장 점유율을 차지할 것으로 보입니다. 자동 보관·검색 시스템(AS/RS)은 기업이 저장 밀도를 극대화하고 노동 의존도를 줄이며 피킹 정확도를 높이는 것을 가능하게 하는 중요한 인에이블러입니다. AS/RS 솔루션은 신속한 배송을 요구하는 소비자의 기대에 부응하기 위해 주문 처리 속도와 재고 추적을 개선합니다. 다양한 재고 유형을 취급하고 창고의 설치 면적을 최소화하는 AS/RS의 능력은 대규모 물류 업무에 필수적입니다.
물류 자동화 시장에서는 온라인 쇼핑의 급속한 확대와 보다 신속한 배송 서비스에 대한 수요 증가를 배경으로 기업 부문 내의 소매 및 전자상거래 분야가 가장 빠른 성장률을 나타낼 것으로 보입니다. 소매업자나 전자상거래 플랫폼은 공급망 최적화, 주문 처리 시간 단축, 대량 재고 관리 등의 큰 압박에 직면해 있습니다. 로봇 공학, AI 주도의 창고 관리, 자동 분류 시스템 등의 자동화 기술은 이러한 수요에 부응하기 위해 매우 중요합니다. 다가 옴니채널 소매의 급증과 당일 배달에 대한 기대는 이 분야에서 자동화된 물류 솔루션의 필요성을 더욱 향상시키고 있습니다.
아시아태평양은 전자상거래의 급속한 확대, 제조활동 증가, 중국, 인도, 일본 등 국가의 인프라 및 기술 투자 증가로 물류 자동화 시장에서 가장 빠른 성장률을 보일 것으로 예상됩니다. 이 지역의 대규모 소비자 기반과 온라인 소매 플랫폼의 대두는 자동 창고, 자율 주행차, AI를 탑재한 재고 관리 시스템 등 합리화된 물류 프로세스의 필요성을 부추기고 있습니다. 특히 중국과 인도에서는 스마트 제조와 디지털화를 추진하는 정부의 이니셔티브가 물류 자동화 기술의 채용을 가속시키고 있습니다. 아시아태평양의 견고한 인프라 개척은 자동화 기술에 대한 기술 혁신과 투자에 대한 주력과 함께 세계 물류 자동화 시장의 독점적 지역으로 자리매김하고 있습니다.
본 보고서에서는 세계의 물류 자동화 시장에 대해 조사했으며, 제공 제품별, 물류 유형별, 기술별, 최종 사용자별, 지역별 동향 및 시장 진출기업 프로파일 등을 정리했습니다.
목차
제1장 서론
제2장 조사 방법
제3장 주요 요약
제4장 중요 인사이트
제5장 시장 개요 및 업계 동향
- 서문
- 시장 역학
- 물류 자동화 시장 : 진화
- 생태계 분석
- 공급망 분석
- 투자 상황 및 자금 조달 시나리오
- 사례 연구 분석
- 기술 분석
- 무역 분석
- 규제 상황
- 특허 분석
- 가격 분석
- 주된 회의 및 이벤트(2024-2025년)
- Porter's Five Forces 분석
- 고객사업에 영향을 주는 동향 및 혼란
- 주요 이해관계자와 구매 기준
- 지역별 물류
제6장 물류 자동화 시장 : 제공 제품별
- 서문
- 자동화 시스템
- 자동화 소프트웨어
- 배포 모드별 소프트웨어
제7장 물류 자동화 시장 : 물류 유형별
- 서문
- 인바운드 물류
- 아웃바운드 및 판매 물류
- 역물류
제8장 물류 자동화 시장 : 기술별
- 서문
- 로보틱스 프로세스 자동화(RPA)
- 인공지능 및 분석
- 사물인터넷(IOT) 플랫폼
- 블록체인
- 빅데이터
제9장 물류 자동화 시장 : 최종 사용자별
제10장 물류 자동화 시장 : 지역별
- 서문
- 북미
- 유럽
- 아시아태평양
- 중동 및 아프리카
- 라틴아메리카
제11장 경쟁 구도
- 개요
- 주요 진입기업의 전략 및 비책
- 수익 분석
- 시장 점유율 분석
- 제품 비교 분석
- 기업가치평가 및 재무지표
- 기업평가 매트릭스 : 주요 진입기업(2023년)
- 기업평가 매트릭스 : 스타트업 및 중소기업(2023년)
- 경쟁 시나리오 및 동향
제12장 기업 프로파일
- 서문
- KION GROUP
- HONEYWELL
- DAIFUKU
- IBM
- SAP
- SAMSUNG SDS
- ORACLE
- ABB
- MANHATTAN ASSOCIATES
- KUKA AG
- JUNGHEINRICH
- TOSHIBA
- TOYOTA INDUSTRIES
- ZEBRA TECHNOLOGIES
- KARDEX GROUP
- SYMBOTIC
- KNAPP
- SSI SCHAEFER
- BLUE YONDER
- MURATA MACHINERY
- TGW LOGISTICS GROUP
- KORBER AG
- BEUMER GROUP
- MECALUX INTERNATIONAL
- HARDIS GROUP
- JR AUTOMATION
- 스타트업 및 중소기업
- ECOVIUM
- SYSTEM LOGISTICS
- AUTOMATED LOGISTICS SYSTEMS
- SAVOYE
- LOCUS ROBOTICS
- GREYORANGE
- FALCON AUTOTECH
- LOGISTICALLY
- LOGIWA
- ROSSUM
- RIGHTHAND ROBOTICS
- THIRD WAVE AUTOMATION
- AGILITY ROBOTICS
- GATHER AI
제13장 인접 시장과 관련 시장
제14장 부록
AJY
The Logistics Automation market is projected to grow from USD 35.14 billion in 2024 to USD 52.53 billion by 2029, at a compound annual growth rate (CAGR) of 8.4% during the forecast period. The market is anticipated to grow due to the rise of online retail and the demand for faster delivery, integration of AI, machine learning, and IoT in logistics systems, and growing labor shortages and rising labor costs have pushed companies to invest in automation technologies like robotics to maintain operational efficiency. However, growth may be restrained by the cost of implementing automation technologies, including robotics, AI, and autonomous vehicles, which can be prohibitively expensive, and the unexpected downtimes of automated logistics systems, which could disrupt logistics operations and lead to financial losses.
| Scope of the Report |
|---|
| Years Considered for the Study | 2019-2029 |
| Base Year | 2023 |
| Forecast Period | 2024-2029 |
| Units Considered | USD Billion |
| Segments | By Offering, By Logistics Type, By Technology, By End User. |
| Regions covered | North America, Europe, Asia Pacific, Middle East & Africa, Latin America |
"Storage solutions segment is expected to hold the largest market share during the forecast period"
The storage solutions segment will hold the largest market share in logistics automation due to the growing demand for optimized warehouse space, driven by e-commerce and high-volume inventory management. Automated storage and retrieval systems (AS/RS) are key enablers, allowing companies to maximize storage density, reduce labor dependency, and enhance picking accuracy. AS/RS solutions also improve order processing speed and inventory tracking, crucial for meeting consumer expectations for faster delivery. Their ability to handle diverse inventory types and minimize warehouse footprints makes them indispensable for large-scale logistics operations.
"The retail and e-commerce enterprise type will have the fastest growth rate during the forecast period"
The retail and e-commerce sector within the enterprise segment is poised to have the fastest growth rate in the logistics automation market, driven by the rapid expansion of online shopping and the increasing demand for faster delivery services. Retailers and e-commerce platforms face immense pressure to optimize supply chains, reduce order processing times, and manage high-volume inventories. Automation technologies such as robotics, AI-driven warehouse management, and automated sorting systems are crucial in meeting these demands. Additionally, the surge in omnichannel retailing and same-day delivery expectations further fuels the need for automated logistics solutions in this sector.
"Asia Pacific's to witness rapid logistics automation growth fueled by innovation and emerging technologies"
The Asia Pacific region is expected to witness the fastest growth rate in the logistics automation market due to the rapid expansion of e-commerce, rising manufacturing activities, and increasing investments in infrastructure and technology by countries like China, India, and Japan. The region's large consumer base and the rise of online retail platforms have fueled the need for streamlined logistics processes, including automated warehouses, autonomous vehicles, and AI-powered inventory management systems. Additionally, government initiatives promoting smart manufacturing and digitalization, particularly in China and India, are accelerating the adoption of logistics automation technologies. Asia Pacific's robust infrastructure development, coupled with its focus on innovation and investment in automation technologies, positions it as the dominant player in the global logistics automation market.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the Logistics Automation market.
- By Company: Tier I - 34%, Tier II - 43%, and Tier III - 23%
- By Designation: C-Level Executives - 50%, D-Level Executives - 30%, and others - 20%
- By Region: North America - 30%, Europe - 25%, Asia Pacific - 35%, Middle East & Africa - 5%, and Latin America - 5%
The report includes the study of key players offering Logistics Automation solutions and services. It profiles major vendors in the Logistics Automation market. The major players in the Logistics Automation market include KION Group (Germany), Honeywell (US), Daifuku (Japan), IBM (US), SAP (Germany), Oracle (US), ABB (Switzerland), Manhattan Associates (US), KUKA Group (Germany), Jungheinrich (Germany), Toshiba (Japan), Toyota Industries (Japan), Zebra Technologies (US), Kardex Group (Switzerland), Symbotic (US), KNAPP (Austria), SSI Schaefer (Germany), Blue Yonder (US), Murata Machinery (Japan), TGW Logistics (Austria), Korber AG (Germany), Beumer Group (Germany), Mecalux International (Spain), Hardis Group (France), JR Automation (US), Ecovium (Germany), System Logistics (Italy), Automated Logistics Systems (US), Savoye (US), Locus Robotics (US), GreyOrange (US), Falcon Autotech (India), Logistically (US), Logiwa (US) and Rossum (Czech Republic).
Research coverage
This research report categorizes the Logistics Automation market By Offering (automated systems (robotic systems, storage solutions, automatic identification & data collection, others), automation software (transport management systems, warehouse management systems, order management software), software by deployment mode (cloud and on-premises)), By Logistics Type (inbound logistics (procurement logistics, production logistics), outbound/sales logistics, reverse logistics), By Technology (robotic process automation (RPA), artificial intelligence & analytics, internet of things (IoT) platform, blockchain, big data, others), By end user, enterprise type (retail & e-commerce, healthcare & pharmaceuticals, manufacturing, automotive, food & beverages, metal & machinery, third party-logistics (3PL), other enterprises), and By Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the logistics automation market. A detailed analysis of the key industry players has been done to provide insights into their business overview, products, and services; key strategies; contracts, partnerships, agreements, new product & service launches, mergers and acquisitions, and recent developments associated with the logistics automation market. Competitive analysis of upcoming startups in the logistics automation market ecosystem is covered in this report.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall logistics automation market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
- Analysis of key drivers (rise in e-commerce activities, increasing adoption of autonomous robots, growing demand for 3PL services, and need for occupational safety), restraints (lack of uniform governance standards and high capital investment), opportunities (implementation of autonomous vehicles & drones, automation-as-a-service to revolutionize logistics, and growing adoption of industry 4.0), and challenges (integration with existing systems and staff training and labor concerns).
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the logistics automation market.
- Market Development: Comprehensive information about lucrative markets - the report analyses the logistics automation market across varied regions.
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the logistics automation market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like KION Group (Germany), Honeywell (US), Daifuku (Japan), IBM (US), SAP (Germany), Oracle (US), ABB (Switzerland), Manhattan Associates (US), KUKA Group (Germany), Jungheinrich (Germany), Toshiba (Japan), Toyota Industries (Japan), Zebra Technologies (US), Kardex Group (Switzerland), Symbotic (US), KNAPP (Austria), SSI Schaefer (Germany), Blue Yonder (US), Murata Machinery (Japan), TGW Logistics (Austria), Korber AG (Germany), Beumer Group (Germany), Mecalux International (Spain), Hardis Group (France), JR Automation (US), Ecovium (Germany), System Logistics (Italy), Automated Logistics Systems (US), Savoye (US), Locus Robotics (US), GreyOrange (US), Falcon Autotech (India), Logistically (US), Logiwa (US) and Rossum (Czech Republic), among others in the logistics automation market. The report also helps stakeholders understand the pulse of the logistics automation market and provides them with information on key market drivers, restraints, challenges, and opportunities.
TABLE OF CONTENTS
1 INTRODUCTION
- 1.1 STUDY OBJECTIVES
- 1.2 MARKET DEFINITION
- 1.2.1 INCLUSIONS AND EXCLUSIONS
- 1.3 MARKET SCOPE
- 1.3.1 MARKET SEGMENTATION
- 1.3.2 YEARS CONSIDERED
- 1.4 CURRENCY CONSIDERED
- 1.5 STAKEHOLDERS
- 1.6 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
- 2.1 RESEARCH DATA
- 2.1.1 SECONDARY DATA
- 2.1.2 PRIMARY DATA
- 2.1.2.1 Breakup of primary profiles
- 2.1.2.2 Key industry insights
- 2.2 MARKET BREAKUP AND DATA TRIANGULATION
- 2.3 MARKET SIZE ESTIMATION
- 2.3.1 TOP-DOWN APPROACH
- 2.3.2 BOTTOM-UP APPROACH
- 2.4 MARKET FORECAST
- 2.5 RESEARCH ASSUMPTIONS
- 2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
- 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN LOGISTICS AUTOMATION MARKET
- 4.2 LOGISTICS AUTOMATION MARKET: TOP 3 ENTERPRISES
- 4.3 LOGISTICS AUTOMATION MARKET IN NORTH AMERICA: TOP 3 ROBOTIC SYSTEMS AND AUTOMATION SOFTWARE
- 4.4 LOGISTICS AUTOMATION MARKET, BY REGION
5 MARKET OVERVIEW AND INDUSTRY TRENDS
- 5.1 INTRODUCTION
- 5.2 MARKET DYNAMICS
- 5.2.1 DRIVERS
- 5.2.1.1 Rise in e-commerce activities
- 5.2.1.2 Increasing adoption of autonomous robots
- 5.2.1.3 Growing demand for 3PL services
- 5.2.1.4 Need for occupational safety
- 5.2.2 RESTRAINTS
- 5.2.2.1 Lack of uniform governance standards
- 5.2.2.2 High capital investment
- 5.2.3 OPPORTUNITIES
- 5.2.3.1 Implementation of autonomous vehicles and drones
- 5.2.3.2 Automation-as-a-service to revolutionize logistics
- 5.2.3.3 Growing adoption of Industry 4.0
- 5.2.4 CHALLENGES
- 5.2.4.1 Integration with existing systems
- 5.2.4.2 Staff training and labor concerns
- 5.2.5 TOP USE CASES & MARKET POTENTIAL
- 5.2.6 WAREHOUSE AUTOMATION
- 5.2.7 ROUTE OPTIMIZATION
- 5.2.8 PREDICTIVE MAINTENANCE
- 5.2.9 DEMAND FORECASTING
- 5.2.10 AUTONOMOUS VEHICLES
- 5.2.11 SUPPLY CHAIN VISIBILITY
- 5.3 LOGISTICS AUTOMATION MARKET: EVOLUTION
- 5.4 ECOSYSTEM ANALYSIS
- 5.4.1 WAREHOUSE MANAGEMENT SYSTEM (WMS) PROVIDERS
- 5.4.2 TRANSPORT MANAGEMENT SYSTEM (TMS) PROVIDERS
- 5.4.3 AUTOMATIC IDENTIFICATION & DATA CAPTURE (AIDC) PROVIDERS
- 5.4.4 AUTOMATED STORAGE & RETRIEVAL SYSTEM (AS/RS)
- 5.4.5 TECHNOLOGY PARTNERS/INTEGRATORS
- 5.4.6 END USERS
- 5.5 SUPPLY CHAIN ANALYSIS
- 5.6 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
- 5.7 CASE STUDY ANALYSIS
- 5.7.1 CASE STUDY 1: VEYER'S PARTNERSHIP WITH DEMATIC FOR ENHANCED ORDER FULFILLMENT
- 5.7.2 CASE STUDY 2: AUTOMATION AND EFFICIENCY AT COCA-COLA BOTTLERS JAPAN'S SAITAMA MEGA DC
- 5.7.3 CASE STUDY 3: GETRIEBEBAU NORD'S TRANSFORMATION WITH KNAPP'S EVO SHUTTLE SYSTEM
- 5.7.4 CASE STUDY 4: WALGREENS ENHANCED CUSTOMER EXPERIENCE WITH BLUE YONDER'S INVENTORY AND ORDER MANAGEMENT SOLUTIONS
- 5.7.5 CASE STUDY 5: HACHETTE UK'S INNOVATIVE DISTRIBUTION CENTER TRANSFORMATION
- 5.8 TECHNOLOGY ANALYSIS
- 5.8.1 KEY TECHNOLOGIES
- 5.8.1.1 Robotic Process Automation (RPA)
- 5.8.1.2 Artificial Intelligence (AI) & Machine Learning (ML)
- 5.8.1.3 Blockchain
- 5.8.1.4 Internet of Things (IoT)
- 5.8.1.5 Augmented Reality (AR) and Virtual Reality (VR)
- 5.8.2 COMPLEMENTARY TECHNOLOGIES
- 5.8.2.1 Big Data Analytics
- 5.8.2.2 Cloud Computing
- 5.8.2.3 Digital Twins
- 5.8.3 ADJACENT TECHNOLOGIES
- 5.8.3.1 Cybersecurity
- 5.8.3.2 Edge Computing
- 5.9 TRADE ANALYSIS
- 5.9.1 IMPORT SCENARIO
- 5.9.2 EXPORT SCENARIO
- 5.10 REGULATORY LANDSCAPE
- 5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- 5.10.2 REGULATIONS, BY REGION
- 5.10.2.1 North America: Regulations
- 5.10.2.1.1 Slave-Free Business Certification Act
- 5.10.2.1.2 Biden-Harris Plan to Revitalize American Manufacturing and Secure Critical Supply Chains
- 5.10.2.1.3 Federal Information Security Management Act (FISMA)
- 5.10.2.1.4 Federal Information Processing Standards (FIPS)
- 5.10.2.1.5 America COMPETES Act
- 5.10.2.2 Europe: Regulations
- 5.10.2.2.1 General Data Protection Regulation
- 5.10.2.2.2 European Committee for Standardization (CEN)
- 5.10.2.2.3 European Telecommunications Standards Institute (ETSI)
- 5.10.2.2.4 Directive on Corporate Sustainability Due Diligence
- 5.10.2.2.5 Directive 2014/24/EU: Public Procurement
- 5.10.2.2.6 Directive 2014/25/EU: Utilities Procurement
- 5.10.2.3 Asia Pacific
- 5.10.2.3.1 ASEAN Free Trade Agreement (AFTA)
- 5.10.2.3.2 Asia Pacific Trade Agreement (APTA)
- 5.10.2.4 Middle East & Africa
- 5.10.2.4.1 Federal Customs Authority Regulations
- 5.10.2.5 Latin America
- 5.10.2.5.1 Law on Roads, Bridges, and Federal Transport
- 5.10.2.5.2 Ley 105 de 1993
- 5.11 PATENT ANALYSIS
- 5.11.1 METHODOLOGY
- 5.11.2 PATENTS FILED, BY DOCUMENT TYPE
- 5.11.3 INNOVATION AND PATENT APPLICATIONS
- 5.12 PRICING ANALYSIS
- 5.12.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING (AUTOMATED SYSTEMS)
- 5.12.2 INDICATIVE PRICING ANALYSIS, BY END USER
- 5.13 KEY CONFERENCES AND EVENTS, 2024-2025
- 5.14 PORTER'S FIVE FORCES' ANALYSIS
- 5.14.1 THREAT OF NEW ENTRANTS
- 5.14.2 THREAT OF SUBSTITUTES
- 5.14.3 BARGAINING POWER OF SUPPLIERS
- 5.14.4 BARGAINING POWER OF BUYERS
- 5.14.5 INTENSITY OF COMPETITIVE RIVALRY
- 5.15 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
- 5.15.1 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
- 5.16 KEY STAKEHOLDERS & BUYING CRITERIA
- 5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS
- 5.16.2 BUYING CRITERIA
- 5.17 LOGISTICS BY GEOGRAPHIC COVERAGE
- 5.17.1 DOMESTIC LOGISTICS
- 5.17.2 INTERNATIONAL LOGISTICS
- 5.17.3 CROSS-BORDER LOGISTICS
6 LOGISTICS AUTOMATION MARKET, BY OFFERING
- 6.1 INTRODUCTION
- 6.1.1 OFFERING: LOGISTICS AUTOMATION MARKET DRIVERS
- 6.2 AUTOMATED SYSTEMS
- 6.2.1 MECHANISMS UTILIZE SOPHISTICATED ROBOTS AND AI TO ENHANCE PRECISION AND VELOCITY
- 6.2.2 ROBOTICS SYSTEMS
- 6.2.2.1 Automated guided vehicles (AGVs)
- 6.2.2.2 Autonomous mobile robots (AMRs)
- 6.2.2.3 Robotic picking systems
- 6.2.2.4 Palletizing & depalletizing systems
- 6.2.3 STORAGE SOLUTIONS
- 6.2.3.1 Automated storage & retrieval systems (AS/RS)
- 6.2.4 AUTOMATED IDENTIFICATION AND DATA COLLECTION (AIDC)
- 6.2.5 CONVEYORS & SORTERS
- 6.2.6 DRONES
- 6.3 AUTOMATION SOFTWARE
- 6.3.1 AUTOMATED SYSTEMS MAKE IT EASIER TO TRACK INVENTORY IN REAL-TIME, ENABLING BUSINESSES TO KEEP STOCK LEVELS ACCURATE AND AUTOMATE REORDERING PROCEDURES
- 6.3.2 TRANSPORT MANAGEMENT SYSTEMS
- 6.3.2.1 Real-time visibility and tracking
- 6.3.2.2 Route optimization and transportation management
- 6.3.2.3 Fleet management solutions
- 6.3.2.4 Freight audit and payment solutions
- 6.3.2.5 Load optimization
- 6.3.3 WAREHOUSE MANAGEMENT SYSTEMS (WMS)
- 6.3.3.1 Inventory management
- 6.3.3.1.1 Inventory optimization
- 6.3.3.1.2 Inventory tracking
- 6.3.3.2 Yard management
- 6.3.3.3 Shipping management
- 6.3.3.4 Labor management
- 6.3.3.5 Vendor management
- 6.3.3.6 Others
- 6.3.4 ORDER MANAGEMENT SOFTWARE
- 6.3.4.1 Chatbot and digital assistants
- 6.3.4.2 Document and records management
- 6.3.4.3 Sales accounting processing
- 6.3.4.4 Others
- 6.4 SOFTWARE BY DEPLOYMENT MODE
- 6.4.1 CLOUD
- 6.4.2 ON-PREMISES
7 LOGISTICS AUTOMATION MARKET, BY LOGISTICS TYPE
- 7.1 INTRODUCTION
- 7.1.1 LOGISTICS TYPE: LOGISTICS AUTOMATION MARKET DRIVERS
- 7.2 INBOUND LOGISTICS
- 7.2.1 INBOUND LOGISTICS MAKE SURE THAT ESSENTIAL RESOURCES ARE ACCESSIBLE WHENEVER REQUIRED, MAINTAINING EFFICIENT PRODUCTION
- 7.2.2 PROCUREMENT LOGISTICS
- 7.2.3 PRODUCTION LOGISTICS
- 7.3 OUTBOUND/SALES LOGISTICS
- 7.3.1 ENHANCING OUTBOUND LOGISTICS THROUGH AUTOMATION IN OPTIMIZING ORDER FULFILLMENT AND DELIVERY EFFICIENCY
- 7.4 REVERSE LOGISTICS
- 7.4.1 AI-POWERED TOOLS TO EVALUATE DATA FROM RETURNS MADE, ENABLING THEM TO MAKE INFORMED CHOICES
8 LOGISTICS AUTOMATION MARKET, BY TECHNOLOGY
- 8.1 INTRODUCTION
- 8.1.1 TECHNOLOGY: LOGISTICS AUTOMATION MARKET DRIVERS
- 8.2 ROBOTICS PROCESS AUTOMATION (RPA)
- 8.2.1 RPA BOOSTS OPERATIONAL EFFICIENCY AND ACCURACY BY AUTOMATING DATA ENTRY, SHIPMENT TRACKING, AND DOCUMENT MANAGEMENT
- 8.3 ARTIFICIAL INTELLIGENCE & ANALYTICS
- 8.3.1 AI-POWERED SYSTEMS CAN STREAMLINE ROUTE ORGANIZATION BY EXAMINING TRAFFIC TRENDS, WEATHER CIRCUMSTANCES, AND DELIVERY TIMETABLES
- 8.4 INTERNET OF THINGS (IOT) PLATFORM
- 8.4.1 TRACKING SHIPMENTS IN REAL-TIME, SUPPLIERS AND DISTRIBUTORS CAN COORDINATE MORE EFFECTIVELY, RESULTING IN QUICKER REACTION TO CHANGES IN MARKET
- 8.5 BLOCKCHAIN
- 8.5.1 SMART CONTRACTS AUTOMATE DIFFERENT TASKS, LIKE PAYMENTS AND CUSTOMS CLEARANCE
- 8.6 BIG DATA
- 8.6.1 LEVERAGING BIG DATA ANALYTICS FOR ENHANCED EFFICIENCY AND DECISION-MAKING IN LOGISTICS OPERATIONS
9 LOGISTICS AUTOMATION MARKET, BY END USER
- 9.1 INTRODUCTION
- 9.1.1 END USER: LOGISTICS AUTOMATION MARKET DRIVERS
- 9.2 BY ENTERPRISE TYPE
- 9.2.1 RETAIL & E-COMMERCE
- 9.2.1.1 Logistics automation enables rapid, accurate order fulfillment and efficient returns management
- 9.2.2 HEALTHCARE & PHARMACEUTICALS
- 9.2.2.1 Logistics automation in healthcare & pharmaceuticals enhances operational efficiency, ensures regulatory compliance, and maintains product integrity
- 9.2.3 MANUFACTURING
- 9.2.3.1 Logistics automation supports just-in-time practices and sustainability goals through advanced robotics and IoT integration in manufacturing
- 9.2.4 AUTOMOTIVE
- 9.2.4.1 Logistics automation enhances productivity and enables real-time data-driven decision-making through autonomous robots and advanced digital tools
- 9.2.5 FOOD & BEVERAGE
- 9.2.5.1 Enhancing efficiency and ensuring compliance in food & beverage sector through advanced logistics automation technologies
- 9.2.6 METAL & MACHINERY
- 9.2.6.1 Precision and efficiency in metal & machinery sector through advanced logistics automation technologies
- 9.2.7 THIRD-PARTY LOGISTICS (3PL)
- 9.2.7.1 Enhancing operational efficiency and service delivery in third-party logistics
- 9.2.8 OTHER ENTERPRISE TYPES
10 LOGISTICS AUTOMATION MARKET, BY REGION
- 10.1 INTRODUCTION
- 10.2 NORTH AMERICA
- 10.2.1 NORTH AMERICA: LOGISTICS AUTOMATION MARKET DRIVERS
- 10.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
- 10.2.3 US
- 10.2.3.1 Rapid growth and responsible development of logistics market in US
- 10.2.4 CANADA
- 10.2.4.1 Canada's strategic growth in logistics market: Innovations and initiatives
- 10.3 EUROPE
- 10.3.1 EUROPE: LOGISTICS AUTOMATION MARKET DRIVERS
- 10.3.2 EUROPE: MACROECONOMIC OUTLOOK
- 10.3.3 UK
- 10.3.3.1 UK government has been proactive in supporting research and development efforts aimed at advancing automation technologies
- 10.3.4 FRANCE
- 10.3.4.1 France focuses on low-emission transport solutions
- 10.3.5 GERMANY
- 10.3.5.1 German government has been actively promoting Industry 4.0 to foster innovation through digitalization in manufacturing and logistics
- 10.3.6 ITALY
- 10.3.6.1 Digital future for Italy will help government officials and businesspersons shape their policies
- 10.3.7 SPAIN
- 10.3.7.1 Spanish government has recognized transformative potential of AI and developed national strategy
- 10.3.8 REST OF EUROPE
- 10.4 ASIA PACIFIC
- 10.4.1 ASIA PACIFIC: LOGISTICS AUTOMATION MARKET DRIVERS
- 10.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
- 10.4.3 CHINA
- 10.4.3.1 Integration of AI, robotics, and IoT technologies into China's logistics networks leading to development of highly efficient and scalable supply chains
- 10.4.4 INDIA
- 10.4.4.1 Rise of online e-commerce platforms leading to adoption of automated warehousing systems to streamline supply chains and reduce operational costs
- 10.4.5 JAPAN
- 10.4.5.1 Rise of e-commerce, coupled with high consumer expectations for same-day delivery, has accelerated need for automated solutions
- 10.4.6 SOUTH KOREA
- 10.4.6.1 Ministry of Trade, Industry, and Energy (MOTIE) to push for innovation in logistics through partnerships between government, tech companies, and academia
- 10.4.7 ANZ
- 10.4.7.1 Vast geographical expanse and growth of sectors such as agriculture, manufacturing, and retail make efficient logistics operations essential in Australia & New Zealand
- 10.4.8 REST OF ASIA PACIFIC
- 10.5 MIDDLE EAST & AFRICA
- 10.5.1 MIDDLE EAST & AFRICA: LOGISTICS AUTOMATION MARKET DRIVERS
- 10.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
- 10.5.3 MIDDLE EAST
- 10.5.3.1 Saudi Arabia
- 10.5.3.1.1 Rise of smart warehouses to enable real-time tracking and better inventory management in Saudi Arabia
- 10.5.3.2 UAE
- 10.5.3.2.1 Incorporation of data analytics and artificial intelligence in logistics operations to enhance decision-making capabilities and promote sustainable practices
- 10.5.3.3 Turkey
- 10.5.3.3.1 Turkey's government launches projects aimed at modernizing infrastructure, including development of logistics centers and enhancement of transportation networks
- 10.5.3.4 QATAR
- 10.5.3.4.1 Integration of blockchain technology to gain traction, enhancing transparency and security in logistics transactions
- 10.5.3.5 Rest of Middle East
- 10.5.4 AFRICA
- 10.6 LATIN AMERICA
- 10.6.1 LATIN AMERICA: LOGISTICS AUTOMATION MARKET DRIVERS
- 10.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
- 10.6.3 BRAZIL
- 10.6.3.1 Increasing adoption of warehouse robotics and intelligent systems, which are essential for managing complexities of modern supply chains
- 10.6.4 MEXICO
- 10.6.4.1 Mexican government promotes digital transformation through initiatives aimed at improving infrastructure and facilitating foreign direct investment
- 10.6.5 ARGENTINA
- 10.6.5.1 Rise of e-commerce in Argentina has created pressing demand for automated solutions
- 10.6.6 REST OF LATIN AMERICA
11 COMPETITIVE LANDSCAPE
- 11.1 OVERVIEW
- 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
- 11.3 REVENUE ANALYSIS
- 11.4 MARKET SHARE ANALYSIS
- 11.4.1 MARKET RANKING ANALYSIS
- 11.5 PRODUCT COMPARATIVE ANALYSIS
- 11.5.1 PRODUCT COMPARATIVE ANALYSIS, BY WAREHOUSE MANAGEMENT SYSTEM
- 11.5.1.1 Warehouse Management System (Blue Yonder)
- 11.5.1.2 Manhattan SCALE (Manhattan Associates)
- 11.5.1.3 K.Motion Warehouse Advantage (Korber AG)
- 11.5.1.4 Extended Warehouse Management (SAP)
- 11.5.1.5 Warehouse Management Cloud (Oracle)
- 11.5.2 PRODUCT COMPARATIVE ANALYSIS, BY TRANSPORT MANAGEMENT SYSTEM
- 11.5.2.1 Oracle Transportation Management (Oracle)
- 11.5.2.2 Manhattan Active Transportation Management (Manhattan Associates)
- 11.5.2.3 SAP Transportation Management (TM) (SAP)
- 11.5.2.4 Logistically TMS (Logistically)
- 11.5.2.5 Blue Yonder Network Control Tower (Blue Yonder)
- 11.6 COMPANY VALUATION AND FINANCIAL METRICS
- 11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
- 11.7.1 STARS
- 11.7.2 EMERGING LEADERS
- 11.7.3 PERVASIVE PLAYERS
- 11.7.4 PARTICIPANTS
- 11.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
- 11.7.5.1 Company Footprint
- 11.7.5.2 Region Footprint
- 11.7.5.3 Offering Footprint
- 11.7.5.4 Technology Footprint
- 11.7.5.5 End User Footprint
- 11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
- 11.8.1 PROGRESSIVE COMPANIES
- 11.8.2 RESPONSIVE COMPANIES
- 11.8.3 DYNAMIC COMPANIES
- 11.8.4 STARTING BLOCKS
- 11.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
- 11.8.5.1 Detailed List of Key Startups/SMEs
- 11.8.5.2 Competitive Benchmarking of Key Startups/SMEs
- 11.9 COMPETITIVE SCENARIO AND TRENDS
- 11.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
- 11.9.2 DEALS
12 COMPANY PROFILES
- 12.1 INTRODUCTION
- 12.1.1 KION GROUP
- 12.1.1.1 Business overview
- 12.1.1.2 Products offered
- 12.1.1.3 Recent developments
- 12.1.1.3.1 Product Launches and Enhancements
- 12.1.1.3.2 Deals
- 12.1.1.3.3 Expansions
- 12.1.1.4 MnM view
- 12.1.1.4.1 Right to win
- 12.1.1.4.2 Strategic choices
- 12.1.1.4.3 Weaknesses and competitive threats
- 12.1.2 HONEYWELL
- 12.1.2.1 Business overview
- 12.1.2.2 Products offered
- 12.1.2.3 Recent developments
- 12.1.2.3.1 Product Launches and Enhancements
- 12.1.2.3.2 Deals
- 12.1.2.4 MnM view
- 12.1.2.4.1 Right to win
- 12.1.2.4.2 Strategic choices
- 12.1.2.4.3 Weaknesses and competitive threats
- 12.1.3 DAIFUKU
- 12.1.3.1 Business overview
- 12.1.3.2 Products offered
- 12.1.3.3 Recent developments
- 12.1.3.3.1 Product Launches
- 12.1.3.3.2 Deals
- 12.1.3.4 MnM view
- 12.1.3.4.1 Right to win
- 12.1.3.4.2 Strategic choices
- 12.1.3.4.3 Weaknesses and competitive threats
- 12.1.4 IBM
- 12.1.4.1 Business overview
- 12.1.4.2 Products offered
- 12.1.4.3 Recent developments
- 12.1.4.3.1 Product Enhancements
- 12.1.4.3.2 Deals
- 12.1.4.4 MnM view
- 12.1.4.4.1 Right to win
- 12.1.4.4.2 Strategic choices
- 12.1.4.4.3 Weaknesses and competitive threats
- 12.1.5 SAP
- 12.1.5.1 Business overview
- 12.1.5.2 Products offered
- 12.1.5.3 Recent developments
- 12.1.5.3.1 Product Enhancements
- 12.1.5.3.2 Deals
- 12.1.5.4 MnM view
- 12.1.5.4.1 Right to win
- 12.1.5.4.2 Strategic choices
- 12.1.5.4.3 Weaknesses and competitive threats
- 12.1.6 SAMSUNG SDS
- 12.1.6.1 Business overview
- 12.1.6.2 Products offered
- 12.1.6.3 Recent developments
- 12.1.6.3.1 Product Launches
- 12.1.6.3.2 Deals
- 12.1.7 ORACLE
- 12.1.7.1 Business overview
- 12.1.7.2 Products offered
- 12.1.7.3 Recent developments
- 12.1.7.3.1 Product Enhancements
- 12.1.7.3.2 Deals
- 12.1.8 ABB
- 12.1.8.1 Business overview
- 12.1.8.2 Products offered
- 12.1.8.3 Recent developments
- 12.1.8.3.1 Product Enhancements
- 12.1.8.3.2 Deals
- 12.1.9 MANHATTAN ASSOCIATES
- 12.1.9.1 Business overview
- 12.1.9.2 Products offered
- 12.1.9.3 Recent developments
- 12.1.10 KUKA AG
- 12.1.10.1 Business overview
- 12.1.10.2 Products offered
- 12.1.10.3 Recent developments
- 12.1.11 JUNGHEINRICH
- 12.1.11.1 Business overview
- 12.1.11.2 Products offered
- 12.1.11.3 Recent developments
- 12.1.11.3.1 Product Launches
- 12.1.11.3.2 Deals
- 12.1.12 TOSHIBA
- 12.1.13 TOYOTA INDUSTRIES
- 12.1.14 ZEBRA TECHNOLOGIES
- 12.1.15 KARDEX GROUP
- 12.1.16 SYMBOTIC
- 12.1.17 KNAPP
- 12.1.18 SSI SCHAEFER
- 12.1.19 BLUE YONDER
- 12.1.20 MURATA MACHINERY
- 12.1.21 TGW LOGISTICS GROUP
- 12.1.22 KORBER AG
- 12.1.23 BEUMER GROUP
- 12.1.24 MECALUX INTERNATIONAL
- 12.1.25 HARDIS GROUP
- 12.1.26 JR AUTOMATION
- 12.2 STARTUP/SME PROFILES
- 12.2.1 ECOVIUM
- 12.2.2 SYSTEM LOGISTICS
- 12.2.3 AUTOMATED LOGISTICS SYSTEMS
- 12.2.4 SAVOYE
- 12.2.5 LOCUS ROBOTICS
- 12.2.6 GREYORANGE
- 12.2.7 FALCON AUTOTECH
- 12.2.8 LOGISTICALLY
- 12.2.9 LOGIWA
- 12.2.10 ROSSUM
- 12.2.11 RIGHTHAND ROBOTICS
- 12.2.12 THIRD WAVE AUTOMATION
- 12.2.13 AGILITY ROBOTICS
- 12.2.14 GATHER AI
13 ADJACENT AND RELATED MARKETS
- 13.1 INTRODUCTION
- 13.2 SMART WAREHOUSING MARKET-GLOBAL FORECAST 2028
- 13.2.1 MARKET DEFINITION
- 13.2.2 MARKET OVERVIEW
- 13.2.2.1 Smart Warehousing Market, by Offering
- 13.2.2.2 Smart Warehousing Market, Hardware by Type
- 13.2.2.3 Smart Warehousing Market, Software by Type
- 13.2.2.4 Smart Warehousing Software Market, by Deployment Mode
- 13.2.2.5 Smart Warehousing Market, by Service
- 13.2.2.6 Smart Warehousing Market, by Technology
- 13.2.2.7 Smart Warehousing Market, by Application
- 13.2.2.8 Smart Warehousing Market, by Vertical
- 13.2.2.9 Smart Warehousing Market, by Region
- 13.3 SUPPLY CHAIN MANAGEMENT MARKET - GLOBAL FORECAST TO 2027
- 13.3.1 MARKET DEFINITION
- 13.3.2 MARKET OVERVIEW
- 13.3.2.1 Supply Chain Management Market, by Component
- 13.3.2.2 Supply Chain Management Market, by Hardware
- 13.3.2.3 Supply Chain Management Market, Software by Type
- 13.3.2.4 Supply Chain Management Market, by Service
- 13.3.2.5 Supply Chain Management Market, by Deployment Mode
- 13.3.2.6 Supply Chain Management Market, by Organization Size
- 13.3.2.7 Supply Chain Management Market, by Vertical
- 13.3.2.8 Supply Chain Management Market, by Region
14 APPENDIX
- 14.1 DISCUSSION GUIDE
- 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
- 14.3 CUSTOMIZATION OPTIONS
- 14.4 RELATED REPORTS
- 14.5 AUTHOR DETAILS
