Smart Warehousing Market by Offering (AGVs, AMRs, AS/RS, AIDC, Palletizing & Depalletizing Systems, Conveyors & Sorters, TMS, WMS, Order Management), Technology (AI, IoT, Blockchain, Big Data & Analytics, Robotics & Automation) - Global Forecast to 2030
세계의 스마트 창고 시장은 급속히 확대하고 있으며, 시장 규모는 2025년 312억 1,000만 달러에서 2030년까지 464억 2,000만 달러로 확대할 것으로 예측되며, 예측 기간에 CAGR로 8.3%의 성장이 전망됩니다.
E-Commerce의 급증, IoT와 자동화의 발전, 비대면 업무에 대한 수요, 효율적인 재고 관리의 필요성, 정부의 지원책 등이 시장을 주도하고 있습니다. 그러나 높은 초기 비용, 레거시 시스템 통합 문제, 숙련된 인력 부족, 데이터 보안 문제, 불투명한 ROI 등이 성장을 저해하는 요인으로 작용하고 있습니다.
| 조사 범위 |
| 조사 대상연도 |
2020-2030년 |
| 기준연도 |
2024년 |
| 예측 기간 |
2025-2030년 |
| 단위 |
10억 달러 |
| 부문 |
제공, 창고 규모, 기술, 업계 |
| 대상 지역 |
북미, 유럽, 아시아태평양, 중동 및 아프리카, 라틴아메리카 |
"자율주행 운반 로봇 부문이 예측 기간 중 가장 빠른 성장률을 보일 것으로 예측됩니다."
자율주행 운반 로봇(AMR)은 유연성과 확장성, 고정된 인프라 없이 동적 창고 환경에서 작동할 수 있는 능력으로 인해 스마트 창고 시장에서 가장 빠르게 성장할 것으로 예측됩니다. 기존 자동 시스템과 달리 AMR은 첨단 센서와 AI를 사용하여 실시간 탐색, 인간 작업자와의 원활한 협업 및 레이아웃 변경에 대한 빠른 적응을 가능하게 하며, AMR을 도입하면 수작업을 크게 줄이고, 피킹 및 분류의 효율성을 향상시키며, 안전성을 높입니다. E-Commerce와 온디맨드 물류가 확대됨에 따라 빠르고 비용 효율적이며 쉽게 구축할 수 있는 자동화 솔루션에 대한 수요가 증가함에 따라 전 세계 창고에서 AMR의 도입이 더욱 가속화될 것으로 예측됩니다.
"창고 관리 시스템 부문이 예측 기간 중 가장 큰 시장 점유율을 차지할 것입니다."
창고 관리 시스템(WMS) 소프트웨어는 창고 운영을 최적화하고 지휘하는 데 핵심적인 역할을 하므로 스마트 창고 시장에서 가장 큰 시장 점유율을 차지할 것으로 예상되며, WMS는 실시간 재고 추적, 효율적인 주문 처리, 노무 관리, 로봇 및 IoT 장비와 같은 다른 디지털 툴와의 통합을 가능하게 합니다. 다른 디지털 툴와의 통합을 가능하게 합니다. 공급망이 복잡해지고 속도와 정확성에 대한 고객의 기대치가 높아짐에 따라 기업은 가시성 향상, 운영 비용 절감, 의사결정 개선을 위해 WMS에 대한 의존도를 높이고 있습니다. WMS는 확장성과 업종을 초월한 적응성으로 인해 스마트 창고 생태계의 기반 기술이 되었습니다.
"북미가 초기 채택과 인프라에서 우위를 점하고 있는 반면, 아시아태평양은 혁신과 E-Commerce 붐에서 선두를 달리고 있습니다."
북미는 첨단 기술의 조기 도입, 주요 물류 및 E-Commerce 기업의 강력한 존재감, 자동화 및 디지털 혁신에 대한 막대한 투자로 인해 스마트 창고 시장에서 가장 큰 시장 점유율을 차지할 것으로 예측됩니다. 이 지역은 잘 구축된 인프라와 고도로 숙련된 노동력의 혜택을 누리고 있습니다. 한편, 아시아태평양은 E-Commerce의 급속한 성장, 효율적인 공급망 관리에 대한 수요 증가, 스마트 인프라를 지원하기 위한 정부의 구상 증가로 인해 가장 높은 성장률을 보일 것으로 예측됩니다. 중국, 인도 등 신흥 경제국들은 경쟁력 강화, 노동력 의존도 감소, 소비자 수요 증가에 대응하기 위해 스마트 창고를 적극적으로 도입하고 있습니다.
세계의 스마트 창고 시장에 대해 조사분석했으며, 주요 촉진요인과 억제요인, 경쟁 구도, 향후 동향 등의 정보를 제공하고 있습니다.
목차
제1장 서론
제2장 조사 방법
제3장 개요
제4장 주요 조사 결과
- 스마트 창고 시장의 기업에 매력적인 기회
- 스마트 창고 시장 : 자동 시스템별
- 북미의 스마트 창고 시장 : 제공별, 창고 규모별
- 스마트 창고 시장 : 지역별
제5장 시장의 개요와 산업 동향
- 서론
- 시장 역학
- 스마트 창고의 진화
- 스마트 창고 시장 : 에코시스템 분석
- 사례 연구 분석
- 공급망 분석
- 규제 상황
- 가격 분석
- 주요 기업의 평균 판매 가격 동향 : 제품별(2025년)
- 평균 판매 가격 : 소프트웨어별(2025년)
- 기술 분석
- 특허 분석
- Porter's Five Forces 분석
- 주요 이해관계자와 구입 기준
- 고객 비즈니스에 영향을 미치는 동향/혼란
- 주요 컨퍼런스와 이벤트(2025-2026년)
- 무역 분석
- 투자와 자금조달 시나리오
- 스마트 창고 시장에서 생성형 AI의 영향
- 주요 사용 사례와 시장의 가능성
- 베스트 프랙티스
- 생성형 AI 실장의 사례 연구
- 클라이언트 준비도와 영향 평가
- 2025년 미국 관세의 영향 - 스마트 창고 시장
- 서론
- 주요 관세율
- 가격의 영향 분석
- 국가/지역에 대한 영향
- 최종 용도 산업에 대한 영향
제6장 스마트 창고 시장 : 제공별
- 서론
- 자동 시스템
- 로봇 시스템
- 자동 보관·회수 시스템
- 자동 식별·데이터 수집
- 컨베이어·소터
- 소프트웨어
- 운송 관리 시스템
- 창고 관리 시스템
- 주문 관리 소프트웨어
제7장 스마트 창고 소프트웨어 시장 : 배포 방식별
제8장 스마트 창고 소프트웨어 시장, 서비스
제9장 스마트 창고 시장 : 기술별
- 서론
- IoT
- 로보틱스·자동화
- AI
- 블록체인
- 빅데이터·애널리틱스
제10장 스마트 창고 시장 : 창고 규모별
제11장 스마트 창고 시장 : 업계별
- 서론
- 운송·물류
- 서드파티 물류
- 화물 운송업자
- 라스트 마일 배송 업자
- 제조
- 의료·생명과학
- 식품 및 음료
- 소매·E-Commerce
- 기타 업계
제12장 스마트 창고 시장 : 지역별
- 서론
- 북미
- 북미의 스마트 창고 시장 촉진요인
- 북미의 거시경제 전망
- 미국
- 캐나다
- 유럽
- 유럽의 스마트 창고 시장 촉진요인
- 유럽의 거시경제 전망
- 영국
- 독일
- 프랑스
- 이탈리아
- 스페인
- 기타 유럽
- 아시아태평양
- 아시아태평양의 스마트 창고 시장 촉진요인
- 아시아태평양의 거시경제 전망
- 중국
- 일본
- 인도
- 한국
- 호주·뉴질랜드
- ASEAN
- 기타 아시아태평양
- 중동 및 아프리카
- 중동 및 아프리카의 스마트 창고 시장 촉진요인
- 중동 및 아프리카의 거시경제 전망
- 중동
- 아프리카
- 라틴아메리카
- 라틴아메리카의 스마트 창고 시장 촉진요인
- 라틴아메리카의 거시경제 전망
- 브라질
- 멕시코
- 아르헨티나
- 기타 라틴아메리카
제13장 경쟁 구도
- 개요
- 주요 참여 기업의 전략/강점(2022-2025년)
- 매출 분석(2020-2024년)
- 시장 점유율 분석(2024년)
- 브랜드/제품의 비교 분석
- 제품의 비교 분석 : 소프트웨어 벤더별
- 브랜드의 비교 분석 : 자동 시스템 벤더별
- 기업의 평가와 재무 지표
- 기업 평가 매트릭스 : 주요 기업(2024년)
- 기업 평가 매트릭스 : 스타트업/중소기업(2024년)
- 경쟁 시나리오
제14장 기업 개요
- 서론
- 주요 기업
- MANHATTAN ASSOCIATES
- KORBER
- ORACLE
- SAP
- DEMATIC(KION GROUP)
- PSI GROUP
- SAMSUNG SDS
- REPLY
- INFOR
- IBM
- BLUE YONDER
- TECSYS
- GENERIX GROUP
- MICROLISTICS
- ABB
- MICROSOFT
- EPICOR
- MADE4NET
- MANTIS
- SOFTEON
- SYNERGY LOGISTICS
- E2OPEN
- VINCULUM
- MECALUX
- SSI SCHAEFER
- HONEYWELL
- SWISSLOG(KUKA)
- DAIFUKU
- 기타 주요 기업
- WAREIQ
- FOYSONIS
- INCREFF
- LOCUS ROBOTICS
- SHIPHERO
- CIN7 ORDERHIVE
- EASYECOM
- UNICOMMERCE
- ONWARD ROBOTICS
- LOGIWA
- GREYORANGE
- RIGHTHAND ROBOTICS
- MAGAZINO
- COVARIANT
- ATTABOTICS
- GEEK+
- NOMAGIC
- PLUS ONE ROBOTICS
제15장 인접 시장과 관련 시장
- 서론
- 물류 자동화 시장 - 세계 예측(-2029년)
- 공급망 애널리틱스 시장 - 세계 예측(-2027년)
제16장 부록
KSA
The smart warehousing market is expanding rapidly, with a projected market size rising from USD 31.21 billion in 2025 to USD 46.42 billion by 2030, at a CAGR of 8.3% during the forecast period. The market is driven by the surge in e-commerce, advancements in IoT and automation, demand for contactless operations, need for efficient inventory management, and supportive government initiatives. However, high initial costs, legacy system integration issues, skilled labor shortages, data security concerns, and uncertain ROI restrain growth.
| Scope of the Report |
|---|
| Years Considered for the Study | 2020-2030 |
| Base Year | 2024 |
| Forecast Period | 2025-2030 |
| Units Considered | USD (Billion) |
| Segments | Offering, Warehouse Size, Technology, and Vertical |
| Regions covered | North America, Europe, Asia Pacific, Middle East & Africa, Latin America |
"Autonomous mobile robots segment to account for the fastest growth rate during the forecast period"
Autonomous mobile robots (AMRs) are expected to witness the fastest growth in the smart warehousing market due to their flexibility, scalability, and ability to operate in dynamic warehouse environments without fixed infrastructure. Unlike traditional automated systems, AMRs use advanced sensors and AI for real-time navigation, enabling seamless collaboration with human workers and quick adaptation to layout changes. Their deployment significantly reduces manual labor, improves picking and sorting efficiency, and enhances safety. As e-commerce and on-demand logistics expand, the need for high-speed, cost-effective, and easily deployable automation solutions will further accelerate AMR adoption across global warehouses.
"Warehouse management system segment to hold the largest market share during the forecast period"
Warehouse management system (WMS) software is expected to hold the largest market share in the smart warehousing market due to its central role in optimizing and orchestrating warehouse operations. WMS enables real-time inventory tracking, efficient order fulfillment, labor management, and integration with other digital tools such as robotics and IoT devices. As supply chains become more complex and customer expectations for speed and accuracy rise, businesses increasingly rely on WMS to enhance visibility, reduce operational costs, and improve decision-making. Its scalability and adaptability across industries make it a foundational technology in smart warehousing ecosystems.
"North America dominates with early adoption and infrastructure, while Asia Pacific leads with innovation and e-commerce boom"
North America is projected to hold the largest market share in the smart warehousing market due to its early adoption of advanced technologies, strong presence of leading logistics and e-commerce companies, and significant investments in automation and digital transformation. The region also benefits from a well-established infrastructure and a highly skilled workforce. Conversely, the Asia Pacific region is expected to witness the fastest growth rate, driven by rapid e-commerce expansion, rising demand for efficient supply chain operations, and increasing government initiatives supporting smart infrastructure. Emerging economies such as China and India are aggressively adopting smart warehousing to enhance competitiveness, reduce labor dependency, and meet growing consumer demands.
Breakdown of Primaries
In-depth interviews were conducted with chief executive officers (CEOs), innovation and technology directors, hardware providers, system integrators, and executives from various key organizations operating in the smart warehousing market.
- By Company: Tier I - 38%, Tier II - 50%, and Tier III - 12%
- By Designation: C-Level Executives - 35%, D-Level Executives - 40%, and others - 25%
- By Region: North America - 40%, Europe - 30%, Asia Pacific - 20%, Middle East & Africa - 5%, and Latin America - 5%
The report includes key players offering smart warehousing. It profiles major vendors such as Manhattan Associates (US), Korber (Germany), Oracle (US), SAP (Germany), Tecsys (Canada), PSI Logistics (Germany), Samsung SDS (South Korea), Reply (Italy), Infor (US), IBM (US), Blue Yonder (US), Generix Group (France), Microlistics (Australia), ABB (Switzerland), Microsoft (US), Epicor (US), Made4net (US), Mantis (Greece), Softeon (US), Synergy Logistics (UK), E2open (US), Vinculum (India), Mecalux (Spain), SSI Schaefer (Germany), Dematic (US), Honeywell (US), Swisslog (Switzerland), Daifuku (Japan), WareIQ (India), Foysonis (US), Increff (India), Locus Robotics (US), ShipHero (US), Cin7 Orderhive (New Zealand), EasyEcom (India), Unicommerce (India), IAM Robotics (US), Logiwa (US), GreyOrange (India), RightHand Robotics (US), Magazino (Germany), Covariant (US), Attabotics (Canada), Geek+ (China), Nomagic (Poland), and Plus One Robotics (US).
Research Coverage
This research report categorizes the smart warehousing market based on offering (hardware, software, services), hardware (robotic systems, storage solutions, automatic identification & data collection, conveyors & sorters), robotic systems (AGVs, AMRs, robotic picking systems, palletizing & depalletizing systems), software (warehouse management systems, transport management systems, order management software), deployment mode (cloud, on-premise) services (professional services, managed services), professional services (training & consulting, system integration & implementation, support & maintenance), warehouse size (small, medium, large), technology (robotics & automation, AI, IoT, blockchain, big data analytics), vertical (transportation & logistics, retail & e-commerce, manufacturing, healthcare & life sciences, food & beverages, other verticals), transportation & logistics (3PL, freight forwarders, last-mile delivery providers), and region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America).
The report's scope covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the smart warehousing market. A detailed analysis of the key industry players was done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, and mergers and acquisitions; and recent developments associated with the smart warehousing market. This report also covers the competitive analysis of upcoming startups in the smart warehousing market ecosystem.
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 smart warehousing market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to better 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 (rising focus on green initiatives and sustainability to minimize waste, Proliferation of smartphones for faster and more efficient management of goods, emergence of multi-channel distribution networks, dynamic nature and globalization of supply chain networks), restraints (lack of uniform governance standards in the fragmented logistics industry, Data security and privacy concerns), opportunities (adoption of AR and VR technologies to streamline warehouse operations, rising focus on Warehouse 4.0 to reduce operating costs, advancements in self-driving vehicles and robotics), and challenges (lack of awareness among small-scale industries, high implementation and maintenance costs for SMEs).
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the smart warehousing market.
- Market Development: Comprehensive information about lucrative markets - the report analyses the smart warehousing market across varied regions.
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the smart warehousing market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as Manhattan Associates (US), Korber (Germany), Oracle (US), SAP (Germany), Tecsys (Canada), PSI Logistics (Germany), Samsung SDS (South Korea), Reply (Italy), Infor (US), IBM (US), Blue Yonder (US), Generix Group (France), Microlistics (Australia), ABB (Switzerland), Microsoft (US), Epicor (US), Made4net (US), Mantis (Greece), Softeon (US), Synergy Logistics (UK), E2open (US), Vinculum (India), Mecalux (Spain), SSI Schaefer (Germany), Dematic (US), Honeywell (US), Swisslog (Switzerland), Daifuku (Japan), WareIQ (India), Foysonis (US), Increff (India), Locus Robotics (US), ShipHero (US), Cin7 Orderhive (New Zealand), EasyEcom (India), Unicommerce (India), IAM Robotics (US), Logiwa (US), GreyOrange (India), RightHand Robotics (US), Magazino (Germany), Covariant (US), Attabotics (Canada), Geek+ (China), Nomagic (Poland), and Plus One Robotics (US), among others. The report also helps stakeholders understand the smart warehousing market's pulse and provides information on key market drivers, restraints, challenges, and opportunities.
TABLE OF CONTENTS
1 INTRODUCTION
- 1.1 STUDY OBJECTIVES
- 1.2 MARKET DEFINITION
- 1.3 STUDY SCOPE
- 1.3.1 MARKET SEGMENTATION AND REGIONAL SCOPE
- 1.3.2 INCLUSIONS AND EXCLUSIONS
- 1.4 YEARS CONSIDERED
- 1.5 CURRENCY CONSIDERED
- 1.6 STAKEHOLDERS
- 1.7 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
- 2.1 RESEARCH DATA
- 2.1.1 SECONDARY DATA
- 2.1.2 PRIMARY DATA
- 2.1.2.1 Breakdown of primary profiles
- 2.1.2.2 Key insights from industry experts
- 2.2 MARKET SIZE ESTIMATION
- 2.2.1 TOP-DOWN APPROACH
- 2.2.2 BOTTOM-UP APPROACH
- 2.2.3 SMART WAREHOUSING MARKET ESTIMATION: DEMAND-SIDE ANALYSIS
- 2.3 DATA TRIANGULATION
- 2.4 RISK ASSESSMENT
- 2.5 RESEARCH ASSUMPTIONS
- 2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
- 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN SMART WAREHOUSING MARKET
- 4.2 SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS
- 4.3 NORTH AMERICA: SMART WAREHOUSING MARKET, BY OFFERING AND WAREHOUSE SIZE
- 4.4 SMART WAREHOUSING MARKET, BY REGION
5 MARKET OVERVIEW AND INDUSTRY TRENDS
- 5.1 INTRODUCTION
- 5.2 MARKET DYNAMICS
- 5.2.1 INTRODUCTION
- 5.2.2 DRIVERS
- 5.2.2.1 Rising focus on green initiatives and sustainability to minimize waste
- 5.2.2.2 Proliferation of smartphones for faster and efficient management of goods
- 5.2.2.3 Emergence of multi-channel distribution networks
- 5.2.2.4 Dynamic nature and globalization of supply chain networks
- 5.2.2.5 Convergence of IoT and 5G to accelerate warehouse intelligence
- 5.2.3 RESTRAINTS
- 5.2.3.1 Lack of uniform governance standards in fragmented logistics industry
- 5.2.3.2 Data security and privacy concerns
- 5.2.4 OPPORTUNITIES
- 5.2.4.1 Adoption of AR and VR technologies to streamline warehouse operations
- 5.2.4.2 Rising focus on Warehouse 4.0 to reduce operating costs
- 5.2.4.3 Advancements in self-driving vehicles and robotics
- 5.2.5 CHALLENGES
- 5.2.5.1 Lack of awareness about smart warehousing systems among small-scale industries
- 5.2.5.2 High implementation and maintenance costs for SMEs
- 5.3 EVOLUTION OF SMART WAREHOUSING
- 5.4 SMART WAREHOUSING MARKET: ECOSYSTEM ANALYSIS
- 5.5 CASE STUDY ANALYSIS
- 5.5.1 COSTA LOGISTICS TRANSFORMS DISTRIBUTION EFFICIENCY WITH MANHATTAN ASSOCIATES' WAREHOUSE MANAGEMENT SOLUTION
- 5.5.2 NAGEL GROUP OPTIMIZES WAREHOUSE OPERATIONS USING PSIWMS AND AI-SUPPORTED LOGISTICS SOFTWARE FROM PSI GROUP
- 5.5.3 ENDRIES INTERNATIONAL AND INFOR ACHIEVE 40% WAREHOUSE-PRODUCTIVITY BOOST WITH CLOUD-BASED INFOR WMS ON AWS
- 5.6 SUPPLY CHAIN ANALYSIS
- 5.7 REGULATORY LANDSCAPE
- 5.7.1 REGULATORY FRAMEWORKS
- 5.7.1.1 General Data Protection Regulation (GDPR)
- 5.7.1.2 Occupational Safety and Health Administration (OSHA)
- 5.7.1.3 Federal Motor Carrier Safety Administration (FMCSA)
- 5.8 PRICING ANALYSIS
- 5.8.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING, 2025
- 5.8.2 AVERAGE SELLING PRICE, BY SOFTWARE, 2025
- 5.9 TECHNOLOGY ANALYSIS
- 5.9.1 KEY TECHNOLOGIES
- 5.9.1.1 Voice recognition
- 5.9.1.2 Computer vision
- 5.9.1.3 Robotic process automation
- 5.9.1.4 Augmented Reality/Virtual Reality (AR/VR)
- 5.9.2 ADJACENT TECHNOLOGIES
- 5.9.2.1 Cybersecurity
- 5.9.2.2 Digital twins
- 5.9.2.3 3D printing
- 5.9.3 COMPLEMENTARY TECHNOLOGIES
- 5.9.3.1 Cloud & edge computing
- 5.9.3.2 5G networks & connectivity
- 5.9.3.3 Predictive maintenance
- 5.10 PATENT ANALYSIS
- 5.11 PORTER'S FIVE FORCES ANALYSIS
- 5.11.1 THREAT OF NEW ENTRANTS
- 5.11.2 THREAT OF SUBSTITUTES
- 5.11.3 BARGAINING POWER OF SUPPLIERS
- 5.11.4 BARGAINING POWER OF BUYERS
- 5.11.5 INTENSITY OF COMPETITIVE RIVALRY
- 5.12 KEY STAKEHOLDERS AND BUYING CRITERIA
- 5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
- 5.12.2 BUYING CRITERIA
- 5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
- 5.14 KEY CONFERENCES AND EVENTS, 2025-2026
- 5.15 TRADE ANALYSIS
- 5.15.1 EXPORT SCENARIO
- 5.15.2 IMPORT SCENARIO
- 5.16 INVESTMENT AND FUNDING SCENARIO
- 5.17 IMPACT OF GENERATIVE AI ON SMART WAREHOUSING MARKET
- 5.17.1 TOP USE CASES AND MARKET POTENTIAL
- 5.17.2 BEST PRACTICES
- 5.17.2.1 Retail industry
- 5.17.2.2 Automotive industry
- 5.17.2.3 Pharmaceutical infrastructure
- 5.17.3 CASE STUDIES OF GENERATIVE AI IMPLEMENTATION
- 5.17.3.1 Optimizing warehouse layouts for increased throughput
- 5.17.3.2 Real-time task scheduling for autonomous vehicles
- 5.17.3.3 Custom packaging solutions via generative AI
- 5.17.4 CLIENT READINESS AND IMPACT ASSESSMENT
- 5.17.4.1 Client A: An e-commerce enterprise
- 5.17.4.2 Client B: Healthcare supply chain enterprise
- 5.17.4.3 Client C: A global manufacturing enterprise
- 5.18 IMPACT OF 2025 US TARIFF - SMART WAREHOUSING MARKET
- 5.18.1 INTRODUCTION
- 5.18.2 KEY TARIFF RATES
- 5.18.3 PRICE IMPACT ANALYSIS
- 5.18.3.1 Strategic shifts and emerging trends
- 5.18.4 IMPACT ON COUNTRY/REGION
- 5.18.4.1 US
- 5.18.4.1.1 Strategic Shifts and Key Observations
- 5.18.4.2 China
- 5.18.4.2.1 Strategic Shifts and Key Observations
- 5.18.4.3 Europe
- 5.18.4.3.1 Strategic Shifts and Key Observations
- 5.18.4.4 Asia Pacific
- 5.18.4.4.1 Strategic Shifts and Key Observations
- 5.18.5 IMPACT ON END-USE INDUSTRIES
- 5.18.5.1 Retail & eCommerce
- 5.18.5.2 Healthcare & Pharmaceuticals
- 5.18.5.3 3PL
- 5.18.5.4 Manufacturing
- 5.18.5.5 Food & Beverages
6 SMART WAREHOUSING MARKET, BY OFFERING
- 6.1 INTRODUCTION
- 6.1.1 DRIVERS: SMART WAREHOUSING MARKET, BY OFFERING
- 6.2 AUTOMATED SYSTEMS
- 6.2.1 ROBOTICS SYSTEMS
- 6.2.1.1 Automated guided vehicles
- 6.2.1.1.1 Automating repetitive material transport, boosting efficiency and reducing labor dependency in warehouses
- 6.2.1.2 Automated mobile robots
- 6.2.1.2.1 Gaining prominence for flexible navigation in dynamic warehouse settings
- 6.2.1.3 Robotics picking systems
- 6.2.1.3.1 Critical for accelerating order fulfillment with improved accuracy and reduced human error
- 6.2.1.4 Palletizing & depalletizing systems
- 6.2.1.4.1 Essential for optimizing pallet handling, minimizing manual labor, and ensuring consistent load stability
- 6.2.2 AUTOMATED STORAGE & RETRIEVAL SYSTEMS
- 6.2.3 AUTOMATED IDENTIFICATION AND DATA COLLECTION
- 6.2.4 CONVEYORS AND SORTERS
- 6.3 SOFTWARE
- 6.3.1 TRANSPORT MANAGEMENT SYSTEMS
- 6.3.1.1 Real-time visibility and tracking
- 6.3.1.1.1 Fundamental for supply chain transparency, enabling proactive inventory and shipment management
- 6.3.1.2 Route optimization & transportation management
- 6.3.1.2.1 Used to cut delivery times and transportation costs in complex logistics networks
- 6.3.1.3 Fleet management solutions
- 6.3.1.3.1 Maximizing vehicle utilization and improving overall transportation efficiency
- 6.3.1.4 Freight audits and payment solutions
- 6.3.1.4.1 Ensures accurate billing and reduces financial errors, saving significant operational costs
- 6.3.1.5 Load optimization
- 6.3.1.5.1 Vital for maximizing transport capacity, reducing shipping expenses, and lowering carbon footprint
- 6.3.2 WAREHOUSE MANAGEMENT SYSTEMS
- 6.3.2.1 Inventory management
- 6.3.2.1.1 Critical for balancing stock levels and preventing costly overstocking or shortages
- 6.3.2.2 Yard management
- 6.3.2.2.1 Increasingly important for smoothing inbound/outbound flows and reducing dock congestion
- 6.3.2.3 Shipping management
- 6.3.2.3.1 Accelerate dispatch processes and ensure timely deliveries
- 6.3.2.4 Labor management
- 6.3.2.4.1 Optimize workforce productivity amid labor shortages
- 6.3.2.5 Vendor management
- 6.3.2.5.1 Ensures efficient coordination with suppliers, improving inbound supply reliability
- 6.3.2.6 Others
- 6.3.3 ORDER MANAGEMENT SOFTWARE
- 6.3.3.1 Chatbots & virtual assistants
- 6.3.3.1.1 Enhance customer engagement and operational responsiveness through AI-driven automation
- 6.3.3.2 Documents & record management
- 6.3.3.2.1 Crucial for regulatory compliance and seamless warehouse operations
- 6.3.3.3 Sales accounting processing
- 6.3.3.3.1 Improves financial accuracy and expedites transaction processing in warehouse operations
- 6.3.3.4 Others
7 SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE
- 7.1 INTRODUCTION
- 7.2 CLOUD
- 7.2.1 OFFERS SCALABLE, FLEXIBLE WAREHOUSE MANAGEMENT FOR BUSINESSES SEEKING COST-EFFECTIVE AND EASILY UPDATABLE SOLUTIONS
- 7.3 ON-PREMISES
- 7.3.1 PROVIDES FULL CONTROL AND CUSTOMIZATION OF WAREHOUSE OPERATIONS WITH ENHANCED SECURITY
8 SMART WAREHOUSING SOFTWARE MARKET, SERVICES
- 8.1 INTRODUCTION
- 8.2 PROFESSIONAL SERVICES
- 8.2.1 TRAINING & CONSULTING
- 8.2.1.1 Effectively adopt and scale automation and AI-driven software technologies
- 8.2.2 SYSTEM INTEGRATION & IMPLEMENTATION
- 8.2.2.1 Seamless connectivity across robotics, WMS, and IoT platforms for end-to-end smart warehouse operations
- 8.2.3 SUPPORT & MAINTENANCE
- 8.2.3.1 Optimize performance and extend life of smart warehousing systems and infrastructure
- 8.3 MANAGED SERVICES
9 SMART WAREHOUSING MARKET, BY TECHNOLOGY
- 9.1 INTRODUCTION
- 9.1.1 DRIVERS: SMART WAREHOUSING MARKET, BY TECHNOLOGY
- 9.2 IOT
- 9.2.1 ENABLING REAL-TIME TRACKING, PREDICTIVE MAINTENANCE, AND SMART INVENTORY SYSTEMS THROUGH CONNECTED DEVICES
- 9.3 ROBOTICS AND AUTOMATION
- 9.3.1 WITNESSING ACCELERATED ADOPTION AS WAREHOUSES STRIVE FOR HIGHER THROUGHPUT AND REDUCED ERRORS
- 9.4 AI
- 9.4.1 GAINING MOMENTUM IN SMART WAREHOUSING BY DRIVING AUTONOMOUS DECISIONS
- 9.5 BLOCKCHAIN
- 9.5.1 ENHANCING DATA INTEGRITY AND TRACEABILITY IN WAREHOUSE TRANSACTIONS AND MULTI-PARTY LOGISTICS ENVIRONMENTS
- 9.6 BIG DATA & ANALYTICS
- 9.6.1 ESSENTIAL FOR DEMAND FORECASTING AND RESOURCE OPTIMIZATION ACROSS COMPLEX WAREHOUSE OPERATIONS
10 SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE
- 10.1 INTRODUCTION
- 10.1.1 DRIVERS: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE
- 10.2 SMALL
- 10.2.1 GROWING DEMAND FOR COST-EFFECTIVE, FLEXIBLE SOLUTIONS TO DRIVE ADOPTION OF SCALABLE SMART TECHNOLOGIES IN LIMITED SPACES
- 10.3 MEDIUM
- 10.3.1 INCREASING ORDER VOLUMES AND OPERATIONAL COMPLEXITY TO FUEL INTEGRATION OF AUTOMATION AND IOT FOR ENHANCED EFFICIENCY
- 10.4 LARGE
- 10.4.1 NEED TO MANAGE VAST INVENTORIES AND OPTIMIZE COMPLEX SUPPLY CHAINS TO DRIVE INVESTMENT IN ADVANCED AUTOMATION AND AI SYSTEMS
11 SMART WAREHOUSING MARKET, BY VERTICAL
- 11.1 INTRODUCTION
- 11.1.1 DRIVERS: SMART WAREHOUSING MARKET, BY VERTICAL
- 11.2 TRANSPORTATION AND LOGISTICS
- 11.2.1 THIRD-PARTY LOGISTICS
- 11.2.1.1 Empowering 3PL providers to offer faster, scalable, and value-added logistics services through automation and real-time visibility
- 11.2.2 FREIGHT FORWARDERS
- 11.2.2.1 Leveraging intelligent warehousing to streamline global cargo handling and reduce transit delays
- 11.2.3 LAST-MILE DELIVERY PROVIDERS
- 11.2.3.1 Enabling last-mile delivery firms to meet rapid fulfillment demands through micro-fulfillment and real-time inventory updates
- 11.3 MANUFACTURING
- 11.4 HEALTHCARE AND LIFE SCIENCES
- 11.5 FOOD AND BEVERAGES
- 11.6 RETAIL AND E-COMMERCE
- 11.7 OTHER VERTICALS
12 SMART WAREHOUSING MARKET, BY REGION
- 12.1 INTRODUCTION
- 12.2 NORTH AMERICA
- 12.2.1 NORTH AMERICA: SMART WAREHOUSING MARKET DRIVERS
- 12.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
- 12.2.3 US
- 12.2.3.1 Need for faster and more efficient supply chain operations to drive market
- 12.2.4 CANADA
- 12.2.4.1 E-commerce growth and digital innovation to propel warehousing expansion
- 12.3 EUROPE
- 12.3.1 EUROPE: SMART WAREHOUSING MARKET DRIVERS
- 12.3.2 EUROPE: MACROECONOMIC OUTLOOK
- 12.3.3 UK
- 12.3.3.1 Increasing need for efficient order fulfillment solutions to drive market
- 12.3.4 GERMANY
- 12.3.4.1 Rising focus on automation in manufacturing and logistics to fuel market
- 12.3.5 FRANCE
- 12.3.5.1 Growth in logistics and retail sectors to boost demand
- 12.3.6 ITALY
- 12.3.6.1 Leveraging strategic location to enhance logistics efficiency and technology adoption
- 12.3.7 SPAIN
- 12.3.7.1 Capitalizing on strategic location to become a logistics and tech innovation hub
- 12.3.8 REST OF EUROPE
- 12.4 ASIA PACIFIC
- 12.4.1 ASIA PACIFIC: SMART WAREHOUSING MARKET DRIVERS
- 12.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
- 12.4.3 CHINA
- 12.4.3.1 E-Commerce expansion to drive demand for automated and efficient warehousing
- 12.4.4 JAPAN
- 12.4.4.1 Growing e-commerce industry to boost adoption of smart warehousing solutions
- 12.4.5 INDIA
- 12.4.5.1 Rapid e-commerce growth in Tier 2 and Tier 3 cities to drive market
- 12.4.6 SOUTH KOREA
- 12.4.6.1 Accelerating smart warehousing through advanced automation and government-backed innovation to drive market
- 12.4.7 AUSTRALIA & NEW ZEALAND
- 12.4.7.1 Commitment to sustainability to encourage adoption of eco-friendly warehousing solutions
- 12.4.8 ASEAN
- 12.4.8.1 Driving smart warehousing growth through rapid e-commerce expansion and urbanization
- 12.4.9 REST OF ASIA PACIFIC
- 12.5 MIDDLE EAST & AFRICA
- 12.5.1 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET DRIVERS
- 12.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
- 12.5.3 MIDDLE EAST
- 12.5.3.1 Saudi Arabia
- 12.5.3.1.1 Launching advanced robotics to boost efficiency in smart warehousing
- 12.5.3.2 UAE
- 12.5.3.2.1 Implementing 5G and AGVs to transform warehouse operations
- 12.5.3.3 Qatar
- 12.5.3.3.1 Digitizing warehouse Access through national warehousing marketplace platform to drive market
- 12.5.3.4 Turkey
- 12.5.3.4.1 Expanding licensed warehousing to boost agricultural efficiency and food security
- 12.5.3.5 Rest of Middle East
- 12.5.4 AFRICA
- 12.6 LATIN AMERICA
- 12.6.1 LATIN AMERICA: SMART WAREHOUSING MARKET DRIVERS
- 12.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
- 12.6.3 BRAZIL
- 12.6.3.1 Harnessing AI and Blockchain to revolutionize smart warehousing efficiency
- 12.6.4 MEXICO
- 12.6.4.1 Expansion of e-commerce accelerates demand for automated and efficient warehouse solutions
- 12.6.5 ARGENTINA
- 12.6.5.1 Accelerating digital transformation and automation to boost warehousing efficiency
- 12.6.6 REST OF LATIN AMERICA
13 COMPETITIVE LANDSCAPE
- 13.1 OVERVIEW
- 13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022-2025
- 13.3 REVENUE ANALYSIS, 2020-2024
- 13.4 MARKET SHARE ANALYSIS, 2024
- 13.5 BRAND/PRODUCT COMPARATIVE ANALYSIS
- 13.5.1 PRODUCT COMPARATIVE ANALYSIS, BY SOFTWARE VENDORS
- 13.5.1.1 Manhattan Associates (Manhattan Active WM)
- 13.5.1.2 Oracle (Oracle Warehouse Management Cloud)
- 13.5.1.3 SAP (SAP Extended Warehouse Management - SAP EWM)
- 13.5.1.4 Infor (Infor WMS)
- 13.5.1.5 IBM (IBM Sterling Supply Chain Suite)
- 13.5.2 BRAND COMPARATIVE ANALYSIS, BY AUTOMATED SYSTEM VENDORS
- 13.5.2.1 Korber
- 13.5.2.2 ABB
- 13.5.2.3 SSI Schaefer
- 13.5.2.4 Dematic
- 13.5.2.5 Honeywell
- 13.6 COMPANY VALUATION AND FINANCIAL METRICS
- 13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
- 13.7.1 STARS
- 13.7.2 EMERGING LEADERS
- 13.7.3 PERVASIVE PLAYERS
- 13.7.4 PARTICIPANTS
- 13.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
- 13.7.5.1 Company footprint
- 13.7.5.2 Region footprint
- 13.7.5.2.1 Offering footprint
- 13.7.5.2.2 Technology footprint
- 13.7.5.2.3 Vertical footprint
- 13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
- 13.8.1 PROGRESSIVE COMPANIES
- 13.8.2 RESPONSIVE COMPANIES
- 13.8.3 DYNAMIC COMPANIES
- 13.8.4 STARTING BLOCKS
- 13.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
- 13.8.5.1 Detailed list of key startups/SMEs
- 13.8.5.2 Competitive benchmarking of key startups/SMEs
- 13.9 COMPETITIVE SCENARIO
- 13.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
- 13.9.2 DEALS
14 COMPANY PROFILES
- 14.1 INTRODUCTION
- 14.2 KEY PLAYERS
- 14.2.1 MANHATTAN ASSOCIATES
- 14.2.1.1 Business overview
- 14.2.1.2 Products/Solutions/Services offered
- 14.2.1.3 Recent developments
- 14.2.1.4 MnM view
- 14.2.1.4.1 Key strengths/Right to win
- 14.2.1.4.2 Strategic choices
- 14.2.1.4.3 Weaknesses and competitive threats
- 14.2.2 KORBER
- 14.2.2.1 Business overview
- 14.2.2.2 Products/Solutions/Services offered
- 14.2.2.3 Recent developments
- 14.2.2.4 MnM view
- 14.2.2.4.1 Key strengths/Right to win
- 14.2.2.4.2 Strategic choices
- 14.2.2.4.3 Weaknesses and competitive threats
- 14.2.3 ORACLE
- 14.2.3.1 Business overview
- 14.2.3.2 Products/Solutions/Services offered
- 14.2.3.3 Recent developments
- 14.2.3.4 MnM view
- 14.2.3.4.1 Key strengths/Right to win
- 14.2.3.4.2 Strategic choices
- 14.2.3.4.3 Weaknesses and competitive threats
- 14.2.4 SAP
- 14.2.4.1 Business overview
- 14.2.4.2 Products/Solutions/Services offered
- 14.2.4.3 Recent developments
- 14.2.4.4 MnM view
- 14.2.4.4.1 Key strengths/Right to win
- 14.2.4.4.2 Strategic choices
- 14.2.4.4.3 Weaknesses and competitive threats
- 14.2.5 DEMATIC (KION GROUP)
- 14.2.5.1 Business overview
- 14.2.5.2 Products/Solutions/Services offered
- 14.2.5.3 Recent developments
- 14.2.5.4 MnM view
- 14.2.5.4.1 Key strengths/Right to win
- 14.2.5.4.2 Strategic choices
- 14.2.5.4.3 Weaknesses and competitive threats
- 14.2.6 PSI GROUP
- 14.2.6.1 Business overview
- 14.2.6.2 Products/Solutions/Services offered
- 14.2.6.3 Recent developments
- 14.2.7 SAMSUNG SDS
- 14.2.7.1 Business overview
- 14.2.7.2 Products/Solutions/Services offered
- 14.2.7.3 Recent developments
- 14.2.8 REPLY
- 14.2.8.1 Business overview
- 14.2.8.2 Products/Solutions/Services offered
- 14.2.8.3 Recent developments
- 14.2.9 INFOR
- 14.2.9.1 Business overview
- 14.2.9.2 Products/Solutions/Services offered
- 14.2.9.3 Recent developments
- 14.2.10 IBM
- 14.2.10.1 Business overview
- 14.2.10.2 Products/Solutions/Services offered
- 14.2.10.3 Recent developments
- 14.2.11 BLUE YONDER
- 14.2.11.1 Business overview
- 14.2.11.2 Products/Solutions/Services offered
- 14.2.11.3 Recent developments
- 14.2.12 TECSYS
- 14.2.13 GENERIX GROUP
- 14.2.14 MICROLISTICS
- 14.2.15 ABB
- 14.2.16 MICROSOFT
- 14.2.17 EPICOR
- 14.2.18 MADE4NET
- 14.2.19 MANTIS
- 14.2.20 SOFTEON
- 14.2.21 SYNERGY LOGISTICS
- 14.2.22 E2OPEN
- 14.2.23 VINCULUM
- 14.2.24 MECALUX
- 14.2.25 SSI SCHAEFER
- 14.2.26 HONEYWELL
- 14.2.27 SWISSLOG (KUKA)
- 14.2.28 DAIFUKU
- 14.3 OTHER KEY PLAYERS
- 14.3.1 WAREIQ
- 14.3.2 FOYSONIS
- 14.3.3 INCREFF
- 14.3.4 LOCUS ROBOTICS
- 14.3.5 SHIPHERO
- 14.3.6 CIN7 ORDERHIVE
- 14.3.7 EASYECOM
- 14.3.8 UNICOMMERCE
- 14.3.9 ONWARD ROBOTICS
- 14.3.10 LOGIWA
- 14.3.11 GREYORANGE
- 14.3.12 RIGHTHAND ROBOTICS
- 14.3.13 MAGAZINO
- 14.3.14 COVARIANT
- 14.3.15 ATTABOTICS
- 14.3.16 GEEK+
- 14.3.17 NOMAGIC
- 14.3.18 PLUS ONE ROBOTICS
15 ADJACENT AND RELATED MARKETS
- 15.1 INTRODUCTION
- 15.2 LOGISTICS AUTOMATION MARKET - GLOBAL FORECAST TO 2029
- 15.2.1 MARKET DEFINITION
- 15.2.2 MARKET OVERVIEW
- 15.2.2.1 Logistics automation market, by offering
- 15.2.2.2 Logistics automation market, software by deployment mode
- 15.2.2.3 Logistics automation market, by logistics type
- 15.2.2.4 Logistics automation market, by technology
- 15.2.2.5 Logistics automation market, by end user
- 15.2.2.6 Logistics automation market, by region
- 15.3 SUPPLY CHAIN ANALYTICS MARKET - GLOBAL FORECAST TO 2027
- 15.3.1 MARKET DEFINITION
- 15.3.2 MARKET OVERVIEW
- 15.3.2.1 Supply chain analytics market, by offering
- 15.3.2.2 Supply chain analytics market, by technology
- 15.3.2.3 Supply chain analytics market, by deployment mode
- 15.3.2.4 Supply chain analytics market, by organization size
- 15.3.2.5 Supply chain analytics market, by business function
- 15.3.2.6 Supply chain analytics market, by vertical
- 15.3.2.7 Supply chain analytics market, by region
16 APPENDIX
- 16.1 DISCUSSION GUIDE
- 16.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
- 16.3 AVAILABLE CUSTOMIZATIONS
- 16.4 RELATED REPORTS
- 16.5 AUTHOR DETAILS
