全球智慧仓库市场(~2028):按产品(硬体、软体、服务)、技术(人工智慧和分析、机器人和自动化)、用途(库存管理、预测分析)、仓库规模、产业、地区
市场调查报告书
商品编码
1362376

全球智慧仓库市场(~2028):按产品(硬体、软体、服务)、技术(人工智慧和分析、机器人和自动化)、用途(库存管理、预测分析)、仓库规模、产业、地区

Smart Warehousing Market by Offering (Hardware, Software, Services), Technology (AI & Analytics, Robotics & Automation), Application (Inventory Management, Predictive Analytics), Warehouse Size, Vertical and Region - Global Forecast to 2028

出版日期: | 出版商: MarketsandMarkets | 英文 327 Pages | 订单完成后即时交付

价格
简介目录

全球智慧仓库市场规模预计将从2023年的204亿美元成长到2028年的405亿美元,预测期内年复合成长率为14.6%。

由于多通路分销网路的出现以及对绿色倡议和永续性的日益关注以尽量减少废弃物,预计该市场将会成长。

调查范围
调查年份 2017-2028
基准年 2022年
预测期 2023-2028
考虑单位 美元
部分 产品、技术、用途、仓库规模、产业、地区
目标区域 北美、欧洲、亚太地区、拉丁美洲、中东和非洲

硬体部门在预测期内创下最大的市场规模

硬体部门包括RFID、感测器网路、即时资讯系统(RTLS)、自动导引运输车(AGV)、自主移动机器人、输送系统以及其他硬体(路由器、交换器、存取点)等。用户对物联网、感测器和人工智慧技术来最佳化仓库业务的需求不断增长,正在影响供应商的智慧仓库硬体开发。智慧仓库解决方案可协助仓库经理根据产品类型和使用情况即时监控和追踪货物。

按产业划分,医疗保健和生命科学部门预测在预测期内复合年复合成长率最快。

在医疗保健分销生态系统中,持续的资讯共用和流程视觉性是高效仓库管理的关键。智慧仓库实现了医疗保健行业物流的可视化,并实现了药品和医疗设备的正确追踪。此外,药品的批量小、保质期短以及对清洁储存和受控环境条件的需求是推动医疗保健产业自动化仓库成长的主要要素。领先的医疗保健和生命科学公司依靠智慧仓库解决方案来执行关键的仓储业务,例如品管、安全措施和药物过期追踪。

本报告调查了全球智慧仓库市场,并提供了市场概况、市场影响因素和市场机会分析、技术和专利趋势、案例研究、法律制度、市场规模趋势和预测,以及各种细分和区域细分。总结了主要企业的详细分析、竞争形势、概况等。

目录

第1章简介

第2章调查方法

第3章执行摘要

第4章重要考察

第5章市场概况/产业趋势

  • 市场动态
    • 促进因素
    • 抑制因素
    • 机会
    • 任务
  • 智慧仓储的历史
  • 建筑:智慧仓库市场
  • 案例研究分析
  • 关税和法规状况
  • 生态系/市场地图
  • 专利分析
  • 供应链分析
  • 市场形势的未来走向
  • 价格分析
  • 影响买家/客户业务的趋势和颠覆
  • 波特五力分析
  • 重大会议及活动
  • 主要利害关係人和采购标准
  • 技术分析
  • 商业模式分析
  • HS 代码(贸易分析替代)

第6章智慧仓库市场:依报价细分

  • 硬体
    • 无线射频识别系统(RFID)
    • 感测器网路
    • 即时资讯系统(RTLS)
    • 自动导引运输车(AGV)
    • 自主移动机器人(AMR)
    • 输送系统
    • 其他的
  • 软体
    • 仓库管理系统(WMS)
    • 库存管理软体
    • 协作和沟通工具
    • 模拟和建模软体
    • 劳动力管理软体(LMS)
    • 仓库管理系统(WCS)
    • 其他的
  • 智慧仓库软体市场:依部署模式
    • 本地
  • 服务
    • 专业的服务
    • 管理服务

第7章智慧仓库市场:依技术分类

  • IoT
  • 机器人自动化
  • 人工智慧/分析
  • 网路/通讯
  • 扩增实境/虚拟现实
  • 其他的

第8章智慧仓库市场:依用途

  • 库存控制
    • 即时库存追踪
    • 库存最佳化
  • 订单处理
    • 拣选/包装自动化
    • 订单路由/最佳化
  • 资产管理
    • 设备/车辆追踪
    • 产品/包裹追踪
  • 预测分析
    • 需求预测模型
    • 预测性维护
  • 其他的

第9章智慧仓库市场:依仓库规模

  • 小规模
    • 微型仓库
    • 小型配销中心
  • 中等大小
    • 区域仓库
    • 交叉转运设施
  • 规模大
    • 全国配销中心
    • 超大仓库

第10章智慧仓库市场:依行业分类

  • 运输/物流
  • 製造业
    • 离散的
    • 流程
  • 医疗保健与生命科学
    • 药品仓库储存
    • 医疗设备仓储
    • 医院供应链管理
  • 食品/饮料
    • 冷链物流
    • 保存食品物流
  • 零售/电子商务
    • 实体商店
    • 电子商务零售
  • 能源/公用事业
    • 石油、天然气
    • 可再生能源
    • 公用事业
    • 采矿/资源
  • 农业
  • 其他的

第11章智慧仓库市场:按地区

  • 北美洲
  • 欧洲
  • 亚太地区
  • 中东/非洲
  • 拉丁美洲

第12章竞争形势

  • 概述
  • 主要企业的招募策略
  • 业务部门收益分析
  • 市场占有率分析
  • 企业评价矩阵
  • 新创公司/小型企业评估矩阵
  • 品牌/产品比较分析
  • 领先智慧仓库供应商的评级和财务指标
  • 竞争场景/趋势

第13章公司简介

  • 主要企业
    • MANHATTAN ASSOCIATES
    • KORBER
    • ORACLE
    • SAP
    • TECSYS
    • PSI LOGISTICS
    • PTC
    • REPLY
    • INFOR
    • IBM
    • BLUE YONDER
  • 其他公司
    • GENERIX GROUP
    • MICROLISTICS
    • ABB
    • MICROSOFT
    • EPICOR
    • MADE4NET
    • MANTIS
    • SOFTEON
    • SYNERGY LOGISTICS
    • E2OPEN
    • VINCULUM
    • MECALUX
    • SSI SCHAEFER
  • 新创公司/中小企业概况
    • WAREIQ
    • FOYSONIS
    • INCREFF
    • LOCUS ROBOTICS
    • SHIPHERO
    • CIN7 ORDERHIVE
    • EASYECOM
    • UNICOMMERCE
    • IAM ROBOTICS
    • LOGIWA

第14章邻近市场及相关市场

第15章附录

简介目录
Product Code: TC 7993

The smart warehousing market is projected to grow from USD 20.4 billion in 2023 to USD 40.5 billion by 2028, at a compound annual growth rate (CAGR) of 14.6% during the forecast period. The market is anticipated to grow due to the emergence of multi-channel distribution networks, and the rising focus on green initiatives and sustainability to minimize waste.

Scope of the Report
Years Considered for the Study2017-2028
Base Year2022
Forecast Period2023-2028
Units ConsideredUSD
Segmentsoffering, Technology, Application, Warehouse Size, Vertical, Region
Regions coveredNorth America, Europe, APAC, LATAM, MEA

By offering hardware segment to register for largest market size during forecast period

The hardware segment includes radio frequency identification systems, sensor networks, real-time location systems, automated guided vehicles, autonomous mobile robots, conveyor systems, and other hardware (routers, switches, access points). A rise in the demand for IoT, sensors, and AI technologies among users to optimize warehouse operations has influenced vendors to develop smart warehousing hardware. A smart warehouse solution helps warehouse managers to monitor and track goods in real time based on their types and usage.

By vertical, healthcare & life sciences segment to register fastest growing CAGR during the forecast period

In the healthcare distribution ecosystem, continuous sharing of information and visibility of every process are the determinants for efficient warehouse management. Smart warehousing enables clear visibility of logistic activities in the healthcare industry, enabling proper tracking of medicines and medical devices. Further, small batch sizes, the short shelf life of medicines, and the need for clean storage and controlled environmental conditions are the key factors driving the growth of automated warehouses in the healthcare industry. Leading healthcare and life sciences companies are using smart warehousing solutions to carry out their critical warehousing operations, such as quality control, safety precautions, and tracking of expiration dates of drugs.

Large warehouses to witness the largest market size during the forecast period

The smart warehousing market for large warehouses is experiencing significant growth, driven by several compelling factors. Large warehouses, often serving as distribution centers for major retailers and e-commerce giants, require sophisticated software solutions to manage vast inventories and streamline complex logistics operations. One of the primary growth drivers is the increasing emphasis on automation and scalability to meet the ever-growing demand for fast and accurate order fulfillment.

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 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 Managers: 25%
  • By Region: North America: 40%, Europe: 30%, Asia Pacific: 20%, and Middle East and Africa- 5%, Latin America-5%

The report includes the study of key players offering smart warehousing solutions. It profiles major vendors in the smart warehousing market. The major players in the smart warehousing market include Manhattan Associates (US), Korber (Germany), Oracle (US), SAP (Germany), Tecsys (Canada), PSI Logistics (Germany), PTC (US), Reply (Italy), Infor (US), IBM (US), Blue Yonder (US), Generix Group (France), Microlistics (Australia), ABB (Switzerland), Microsoft (US), Epicor (US), Made4net (US), Mantis (US), Softeon (US), Synergy Logistics (US), E2open (US), Vinculum (India), Mecalux (Spain), SSI Schaefer (US), WareIQ (India), Foysonis (India), Increff (India), Locus Robotics (US), ShipHero (US), Cin7 (US), EasyEcom (India), Unicommerce (India), and IAM Robotics (US).

Research coverage

The smart warehousing market research study involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred smart warehousing providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market's prospects.

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 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 (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, and the rising focus on green initiatives and sustainability to minimize waste), restraints (lack of uniform governance standards in the fragmented supply chain and logistics industry, data security and privacy concerns), opportunities ( advent of AR and VR technologies to streamline warehouse operations, focus on Warehouse 4.0 for a more efficient and safer warehouse, advancements in self-driving vehicles and robotics for warehouse automation), and challenges (lack of awareness about benefits of smart warehousing among small-scale industries, slow adoption of smart warehousing solutions due to high capital investment, 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 like include Manhattan Associates (US), Korber (Germany), Oracle (US), SAP (Germany), Tecsys (Canada), PSI Logistics (Germany), PTC (US), Reply (Italy), Infor (US), IBM (US), Blue Yonder (US) among others in the smart warehousing market strategies. The report also helps stakeholders understand the pulse of the smart warehousing 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 REGIONS COVERED
    • 1.3.3 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 STAKEHOLDERS
  • 1.6 SUMMARY OF CHANGES
    • 1.6.1 IMPACT OF RECESSION

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • FIGURE 1 SMART WAREHOUSING MARKET: RESEARCH DESIGN
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
    • TABLE 1 PRIMARY INTERVIEWS
      • 2.1.2.1 Breakup of primary profiles
      • 2.1.2.2 Key industry insights
  • 2.2 MARKET BREAKUP AND DATA TRIANGULATION
    • FIGURE 2 DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • FIGURE 3 SMART WAREHOUSING MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
    • 2.3.1 TOP-DOWN APPROACH
    • 2.3.2 BOTTOM-UP APPROACH
    • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY SIDE): REVENUE FROM SOLUTIONS/SERVICES OF SMART WAREHOUSING MARKET
    • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY- APPROACH 2, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF SMART WAREHOUSING MARKET
    • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 3, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF SMART WAREHOUSING MARKET
    • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 4, BOTTOM-UP (DEMAND SIDE): SHARE OF SMART WAREHOUSING MARKET THROUGH OVERALL SMART WAREHOUSING SPENDING
  • 2.4 MARKET FORECAST
    • TABLE 2 FACTOR ANALYSIS
  • 2.5 RESEARCH ASSUMPTIONS
  • 2.6 LIMITATIONS
  • 2.7 IMPLICATIONS OF RECESSION ON SMART WAREHOUSING MARKET
    • TABLE 3 IMPACT OF RECESSION ON GLOBAL SMART WAREHOUSING MARKET

3 EXECUTIVE SUMMARY

    • TABLE 4 GLOBAL SMART WAREHOUSING MARKET SIZE AND GROWTH RATE, 2017-2022 (USD MILLION, Y-O-Y %)
    • TABLE 5 GLOBAL SMART WAREHOUSING MARKET SIZE AND GROWTH RATE, 2023-2028 (USD MILLION, Y-O-Y %)
    • FIGURE 8 HARDWARE SEGMENT TO DOMINATE MARKET IN 2023
    • FIGURE 9 WMS SOFTWARE TO HOLD LARGEST MARKET SHARE IN 2023
    • FIGURE 10 RTLS SEGMENT TO LEAD MARKET IN 2023
    • FIGURE 11 PROFESSIONAL SERVICES SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2023
    • FIGURE 12 SUPPORT AND MAINTENANCE SERVICES SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023
    • FIGURE 13 ON-PREMISES SEGMENT TO LEAD MARKET IN 2023
    • FIGURE 14 ROBOTICS AND AUTOMATION TECHNOLOGY SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023
    • FIGURE 15 INVENTORY MANAGEMENT SEGMENT TO DOMINATE MARKET IN 2023
    • FIGURE 16 LARGE WAREHOUSE SEGMENT TO DOMINATE MARKET IN 2023
    • FIGURE 17 HEALTHCARE AND LIFE SCIENCES SEGMENT TO RECORD HIGHEST GROWTH IN 2023
    • FIGURE 18 ASIA PACIFIC TO RECORD HIGHEST CAGR IN 2023

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN SMART WAREHOUSING MARKET
    • FIGURE 19 RISING FOCUS ON GREEN INITIATIVES AND SUSTAINABILITY TO DRIVE MARKET GROWTH
  • 4.2 OVERVIEW OF RECESSION IMPACT ON GLOBAL SMART WAREHOUSING MARKET
    • FIGURE 20 SMART WAREHOUSING MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023
  • 4.3 SMART WAREHOUSING MARKET: TOP THREE APPLICATIONS
    • FIGURE 21 PREDICTIVE ANALYTICS SEGMENT TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • 4.4 NORTH AMERICA: SMART WAREHOUSING MARKET, BY OFFERING AND TOP THREE VERTICALS
    • FIGURE 22 HARDWARE SEGMENT AND TRANSPORTATION AND LOGISTICS VERTICAL TO HOLD LARGEST SHARES OF NORTH AMERICAN MARKET IN 2023
  • 4.5 SMART WAREHOUSING MARKET: BY REGION
    • FIGURE 23 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2023

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • FIGURE 24 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: SMART WAREHOUSING MARKET
    • 5.2.1 DRIVERS
      • 5.2.1.1 Rising focus on green initiatives and sustainability to minimize waste
      • 5.2.1.2 Proliferation of smartphones for faster and efficient management of goods
      • 5.2.1.3 Emergence of multi-channel distribution networks
      • 5.2.1.4 Dynamic nature and globalization of supply chain networks
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Lack of uniform governance standards in fragmented logistics industry
      • 5.2.2.2 Data security and privacy concerns
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Adoption of AR and VR technologies to streamline warehouse operations
      • 5.2.3.2 Rising focus on Warehouse 4.0 to reduce operating costs
      • 5.2.3.3 Advancements in self-driving vehicles and robotics
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Lack of awareness among small-scale industries
      • 5.2.4.2 High implementation and maintenance costs for SMEs
  • 5.3 BRIEF HISTORY OF SMART WAREHOUSING
    • FIGURE 25 EVOLUTION OF SMART WAREHOUSING MARKET
  • 5.4 ARCHITECTURE: SMART WAREHOUSING MARKET
    • FIGURE 26 SMART WAREHOUSING MARKET ARCHITECTURE
  • 5.5 CASE STUDY ANALYSIS
    • 5.5.1 TRANSPORTATION & LOGISTICS
      • 5.5.1.1 Americold deploys Blue Yonder WMS to modernize warehouse environment
      • 5.5.1.2 Automated warehouse solutions from Korber help Pharmalog deal with high order volume
      • 5.5.1.3 Locus assists BigBasket to achieve 99.5% on-time delivery for 10 million customers
      • 5.5.1.4 FM Logistic Russia chooses Generix SaaS-based WMS to improve operational efficiency
    • 5.5.2 HEALTHCARE & LIFE SCIENCES
      • 5.5.2.1 Sanford Health improves patient care and safety with Tecsys software
      • 5.5.2.2 Tecsys WMS solution helps NMHS achieve annual savings of USD 8 million
      • 5.5.2.3 Drogaria Araujo opts for Korber's WMS to increase stock traceability
    • 5.5.3 MANUFACTURING
      • 5.5.3.1 Etilux Group implements Korber's WMS to streamline inventory
      • 5.5.3.2 Epicor Kinetic helps Finnish manufacturer focus on international growth
      • 5.5.3.3 SOLOCHAIN streamlines Marucci Sports' warehouse process
    • 5.5.4 FOOD & BEVERAGES
      • 5.5.4.1 Generix WMS enables Lactalis Spain to pilot different types of warehouses
      • 5.5.4.2 Dutch food company relies on ABB robots to optimize delivery process
      • 5.5.4.3 EasyEcom helps Paper Boat improve order processing
    • 5.5.5 RETAIL & ECOMMERCE
      • 5.5.5.1 Korber WMS helps Adore Beauty keep up with growing sales
      • 5.5.5.2 Eventyrsport deploys Tecsys' Omni WMS to manage growing inventory
      • 5.5.5.3 Conforama uses Generix WMS to increase warehouse production capacity
    • 5.5.6 ENERGY & UTILITIES
      • 5.5.6.1 Korber WMS helps GRTgaz configure personalized strategies
      • 5.5.6.2 Puget Sound Energy successfully implements SAP Extended Warehouse Management Application
    • 5.5.7 AUTOMOTIVE
      • 5.5.7.1 Mitsubishi deploys Korber WMS to address challenges of manual warehouse operations
      • 5.5.7.2 Click Reply solution allows Dana Italia to speed up warehouse processes
    • 5.5.8 AGRICULTURE
      • 5.5.8.1 Thai Agro Exchange Co. opts for Korber solutions to serve wholesale clients better
  • 5.6 TARIFF AND REGULATORY LANDSCAPE
    • 5.6.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.6.2 NORTH AMERICA
    • TABLE 6 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.6.3 EUROPE
    • TABLE 7 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.6.4 ASIA PACIFIC
    • TABLE 8 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.6.5 MIDDLE EAST & AFRICA
    • TABLE 9 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.6.6 LATIN AMERICA
    • TABLE 10 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.7 ECOSYSTEM/MARKET MAP
    • TABLE 11 SMART WAREHOUSING MARKET: SUPPLY CHAIN ANALYSIS
    • FIGURE 27 SMART WAREHOUSING MARKET: ECOSYSTEM
  • 5.8 PATENT ANALYSIS
    • 5.8.1 METHODOLOGY
    • 5.8.2 PATENTS FILED, BY DOCUMENT TYPE
    • TABLE 12 PATENTS FILED, 2013-2023
    • 5.8.3 INNOVATION AND PATENT APPLICATIONS
    • FIGURE 28 TOTAL NUMBER OF PATENTS GRANTED, 2013-2023
      • 5.8.3.1 Top applicants
    • FIGURE 29 TOP TEN PATENT APPLICANTS, 2013-2023
    • TABLE 13 TOP 20 PATENT OWNERS IN SMART WAREHOUSING MARKET, 2013-2023
    • TABLE 14 PATENTS IN SMART WAREHOUSING MARKET, 2023
    • FIGURE 30 REGIONAL ANALYSIS OF PATENTS GRANTED FOR SMART WAREHOUSING MARKET, 2023
  • 5.9 SUPPLY CHAIN ANALYSIS
    • FIGURE 31 SMART WAREHOUSING MARKET: SUPPLY CHAIN ANALYSIS
  • 5.10 FUTURE DIRECTION OF SMART WAREHOUSING MARKET LANDSCAPE
    • FIGURE 32 SMART WAREHOUSING ROADMAP UNTIL 2030
  • 5.11 PRICING ANALYSIS
    • 5.11.1 AVERAGE SELLING PRICE OF KEY COMPANIES
    • FIGURE 33 AVERAGE SELLING PRICE OF KEY COMPANIES
    • 5.11.2 INDICATIVE PRICING ANALYSIS
    • TABLE 15 AVERAGE SELLING PRICE ANALYSIS, BY OFFERING
  • 5.12 TRENDS AND DISRUPTIONS IMPACTING BUYERS/CLIENTS' BUSINESSES
    • FIGURE 34 SMART WAREHOUSING MARKET: TRENDS AND DISRUPTIONS IMPACTING BUYERS/CLIENTS' BUSINESSES
  • 5.13 PORTER'S FIVE FORCES ANALYSIS
    • FIGURE 35 SMART WAREHOUSING MARKET: PORTER'S FIVE FORCES ANALYSIS
    • 5.13.1 THREAT OF NEW ENTRANTS
    • 5.13.2 THREAT OF SUBSTITUTES
    • 5.13.3 BARGAINING POWER OF SUPPLIERS
    • 5.13.4 BARGAINING POWER OF BUYERS
    • 5.13.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.14 KEY CONFERENCES AND EVENTS, 2023-2024
    • TABLE 16 CONFERENCES AND EVENTS, 2023-2024
  • 5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • FIGURE 36 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
    • TABLE 17 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
    • 5.15.2 BUYING CRITERIA
    • FIGURE 37 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
    • TABLE 18 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • 5.16 TECHNOLOGY ANALYSIS
    • 5.16.1 KEY TECHNOLOGY
      • 5.16.1.1 Artificial Intelligence and Machine Learning (AI and ML)
      • 5.16.1.2 IoT
      • 5.16.1.3 Predictive Analytics
    • 5.16.2 ADJACENT TECHNOLOGY
      • 5.16.2.1 Blockchain
      • 5.16.2.2 Cloud Computing
      • 5.16.2.3 AR/VR
      • 5.16.2.4 Digital Twins
  • 5.17 BUSINESS MODEL ANALYSIS
    • 5.17.1 SUPPLY SIDE
    • 5.17.2 DEMAND SIDE
  • 5.18 HS CODES (ALTERNATIVE TO TRADE ANALYSIS)
    • 5.18.1 EXPORT SCENARIO
    • TABLE 19 EXPORT DATA, BY COUNTRY, 2020-2022 (USD MILLION)
    • 5.18.2 IMPORT SCENARIO
    • TABLE 20 IMPORT DATA, BY COUNTRY, 2020-2022 (USD MILLION)

6 SMART WAREHOUSING MARKET, BY OFFERING

  • 6.1 INTRODUCTION
    • 6.1.1 DRIVERS: SMART WAREHOUSING MARKET, BY OFFERING
    • FIGURE 38 SMART WAREHOUSING SERVICES TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 21 SMART WAREHOUSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 22 SMART WAREHOUSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 6.2 HARDWARE
    • FIGURE 39 CONVEYOR SYSTEMS SEGMENT TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 23 HARDWARE: SMART WAREHOUSING MARKET, BY TYPE, 2017-2022 (USD MILLION)
    • TABLE 24 HARDWARE: SMART WAREHOUSING MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 25 HARDWARE: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 26 HARDWARE: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.2.1 RADIO FREQUENCY IDENTIFICATION SYSTEMS (RFID)
    • TABLE 27 RFID SYSTEMS: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 28 RFID SYSTEMS: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 6.2.1.1 Passive RFID
        • 6.2.1.1.1 Growing usage due to affordability to drive market
      • 6.2.1.2 Active RFID
        • 6.2.1.2.1 Increasing adoption of Internet of Things (IoT) to boost demand
    • 6.2.2 SENSOR NETWORKS
    • TABLE 29 SENSOR NETWORKS: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 30 SENSOR NETWORKS: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 6.2.2.1 Environmental Sensors
        • 6.2.2.1.1 Growing focus on sustainability to drive demand
      • 6.2.2.2 Motion Sensors
        • 6.2.2.2.1 Ability to enhance operational efficiency to boost demand
      • 6.2.2.3 Proximity Sensors
        • 6.2.2.3.1 Rising adoption to reduce energy consumption to drive market
    • 6.2.3 REAL-TIME LOCATION SYSTEMS (RTLS)
    • TABLE 31 RTLS: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 32 RTLS: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 6.2.3.1 Indoor RTLS
        • 6.2.3.1.1 Growing need for precise tracking to fuel market
      • 6.2.3.2 Outdoor RTLS
        • 6.2.3.2.1 Ability to provide end-to-end visibility to drive demand
      • 6.2.3.3 Ultra-Wideband (UWB) RTLS
        • 6.2.3.3.1 Need for high precision levels to boost market
    • 6.2.4 AUTOMATED GUIDED VEHICLES (AGV)
    • TABLE 33 AGV: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 34 AGV: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 6.2.4.1 AGV for Material Handling
        • 6.2.4.1.1 Demand for seamless material handling to fuel market
      • 6.2.4.2 AGV for Picking
        • 6.2.4.2.1 Need to accelerate order fulfillment to drive market
      • 6.2.4.3 AGV for Sorting
        • 6.2.4.3.1 Growth of omnichannel retailing to fuel demand
    • 6.2.5 AUTONOMOUS MOBILE ROBOTS (AMR)
    • TABLE 35 AMR: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 36 AMR: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 6.2.5.1 AMR for Inventory Scanning
        • 6.2.5.1.1 Need for greater efficiency in inventory management to drive market
      • 6.2.5.2 AMR for Order Fulfillment
        • 6.2.5.2.1 Booming e-commerce industry to propel market growth
      • 6.2.5.3 AMR for Material Handling
        • 6.2.5.3.1 Demand for faster delivery times to boost market
    • 6.2.6 CONVEYOR SYSTEMS
    • TABLE 37 CONVEYOR SYSTEMS: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 38 CONVEYOR SYSTEMS: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 6.2.6.1 Belt Conveyors
        • 6.2.6.1.1 Demand for quicker material handling to drive market
      • 6.2.6.2 Roller Conveyors
        • 6.2.6.2.1 High versatility to boost demand
      • 6.2.6.3 Slat Conveyors
        • 6.2.6.3.1 Suitability to harsh environments to drive demand
    • 6.2.7 OTHER HARDWARE
    • TABLE 39 OTHER HARDWARE: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 40 OTHER HARDWARE: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 6.3 SOFTWARE
    • FIGURE 40 INVENTORY MANAGEMENT SOFTWARE TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 41 SOFTWARE: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 42 SOFTWARE: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • TABLE 43 SOFTWARE: SMART WAREHOUSING MARKET, BY TYPE, 2017-2022 (USD MILLION)
    • TABLE 44 SOFTWARE: SMART WAREHOUSING MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • 6.3.1 WAREHOUSE MANAGEMENT SYSTEM (WMS)
      • 6.3.1.1 Growth of e-commerce to drive market
    • TABLE 45 WMS: SMART WARE HOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 46 WMS: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.3.2 INVENTORY MANAGEMENT SOFTWARE
      • 6.3.2.1 Need to optimize inventory control and reduce operational costs to drive demand
    • TABLE 47 INVENTORY MANAGEMENT SOFTWARE: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 48 INVENTORY MANAGEMENT SOFTWARE: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.3.3 COLLABORATION AND COMMUNICATION TOOLS
      • 6.3.3.1 Rising demand for seamless coordination to fuel market
    • TABLE 49 COLLABORATION AND COMMUNICATION TOOLS: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 50 COLLABORATION AND COMMUNICATION TOOLS: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.3.4 SIMULATION AND MODELING SOFTWARE
      • 6.3.4.1 Availability of cost-effective testing process to boost market
    • TABLE 51 SIMULATION AND MODELING SOFTWARE: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 52 SIMULATION AND MODELING SOFTWARE: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.3.5 LABOR MANAGEMENT SOFTWARE (LMS)
      • 6.3.5.1 Need to improve labor performance to drive market
    • TABLE 53 LABOR MANAGEMENT SOFTWARE: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 54 LABOR MANAGEMENT SOFTWARE: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.3.6 WAREHOUSE CONTROL SYSTEM (WCS)
      • 6.3.6.1 Growing adoption of advanced technologies to fuel demand
    • TABLE 55 WCS: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 56 WCS: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.3.7 OTHER SOFTWARE
    • TABLE 57 OTHER SOFTWARE: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 58 OTHER SOFTWARE: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 6.4 SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE
    • FIGURE 41 CLOUD DEPLOYMENT SEGMENT TO RECORD HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 59 SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 60 SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • 6.4.1 CLOUD
      • 6.4.1.1 Easy scalability and cost-effectiveness to boost demand
    • TABLE 61 CLOUD: SMART WAREHOUSING SOFTWARE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 62 CLOUD: SMART WAREHOUSING SOFTWARE MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.4.2 ON-PREMISES
      • 6.4.2.1 Reduced security risk to drive adoption
    • TABLE 63 ON-PREMISES: SMART WAREHOUSING SOFTWARE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 64 ON-PREMISES: SMART WAREHOUSING SOFTWARE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 6.5 SERVICES
    • FIGURE 42 MANAGED SERVICES SEGMENT TO RECORD HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 65 SERVICES: SMART WAREHOUSING MARKET, BY TYPE, 2017-2022 (USD MILLION)
    • TABLE 66 SMART WAREHOUSING SERVICES MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 67 SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 68 SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.5.1 PROFESSIONAL SERVICES
    • FIGURE 43 SUPPORT & MAINTENANCE SERVICES TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 69 PROFESSIONAL SERVICES: SMART WAREHOUSING MARKET, BY TYPE, 2017-2022 (USD MILLION)
    • TABLE 70 PROFESSIONAL SERVICES: SMART WAREHOUSING MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 71 PROFESSIONAL SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 72 PROFESSIONAL SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 6.5.1.1 Training & Consulting
        • 6.5.1.1.1 Rising need for specialized knowledge to fuel market
    • TABLE 73 TRAINING & CONSULTING SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 74 TRAINING & CONSULTING SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 6.5.1.2 System Integration & Implementation
        • 6.5.1.2.1 Need for seamless integration of solutions into IT environment to drive demand
    • TABLE 75 SYSTEM INTEGRATION & IMPLEMENTATION SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 76 SYSTEM INTEGRATION & IMPLEMENTATION SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 6.5.1.3 Support & Maintenance
        • 6.5.1.3.1 Requirement for regular maintenance and upgrades to boost market
    • TABLE 77 SUPPORT & MAINTENANCE SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 78 SUPPORT & MAINTENANCE SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.5.2 MANAGED SERVICES
    • TABLE 79 MANAGED SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 80 MANAGED SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)

7 SMART WAREHOUSING MARKET, BY TECHNOLOGY

  • 7.1 INTRODUCTION
    • 7.1.1 DRIVERS: SMART WAREHOUSING MARKET, BY TECHNOLOGY
    • FIGURE 44 IOT SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 81 SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
    • TABLE 82 SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • 7.2 IOT
    • 7.2.1 RISING NEED FOR IOT-POWERED PREDICTIVE MAINTENANCE TO DRIVE MARKET
    • TABLE 83 IOT: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 84 IOT: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.3 ROBOTICS AND AUTOMATION
    • 7.3.1 ABILITY TO IMPROVE OPERATIONAL EFFICIENCY TO DRIVE MARKET
    • TABLE 85 ROBOTICS AND AUTOMATION: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 86 ROBOTICS AND AUTOMATION: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.4 AI AND ANALYTICS
    • 7.4.1 SIGNIFICANT OPTIMIZATION OF INVENTORY MANAGEMENT TO BOOST DEMAND
    • TABLE 87 AI AND ANALYTICS: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 88 AI AND ANALYTICS: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.5 NETWORKING AND COMMUNICATION
    • 7.5.1 INCREASING DEMAND FOR CONNECTIVITY TO FUEL MARKET
    • TABLE 89 NETWORKING AND COMMUNICATION: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 90 NETWORKING AND COMMUNICATION: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.6 AR AND VR
    • 7.6.1 POTENTIAL TO IMPROVE WORKER PRODUCTIVITY TO BOOST DEMAND
    • TABLE 91 AR AND VR: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 92 AR AND VR: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.7 OTHER TECHNOLOGIES
    • TABLE 93 OTHER TECHNOLOGIES: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 94 OTHER TECHNOLOGIES: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)

8 SMART WAREHOUSING MARKET, BY APPLICATION

  • 8.1 INTRODUCTION
    • 8.1.1 DRIVERS: SMART WAREHOUSING MARKET, BY APPLICATION
    • FIGURE 45 PREDICTIVE ANALYTICS APPLICATION TO RECORD HIGHEST GROWTH DURING FORECAST PERIOD
    • TABLE 95 SMART WAREHOUSING MARKET, BY APPLICATION, 2017-2022 (USD MILLION)
    • TABLE 96 SMART WAREHOUSING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
  • 8.2 INVENTORY MANAGEMENT
    • TABLE 97 INVENTORY MANAGEMENT: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 98 INVENTORY MANAGEMENT: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 8.2.1 REAL-TIME INVENTORY TRACKING
      • 8.2.1.1 Barcode Scanning
        • 8.2.1.1.1 Increasing adoption of real-time scanning to drive market
      • 8.2.1.2 RFID-based Tracking
        • 8.2.1.2.1 Need for error-free workflows to boost market
      • 8.2.1.3 GPS-based Tracking
        • 8.2.1.3.1 Growing demand for end-to-end visibility and timely deliveries to fuel market
    • 8.2.2 INVENTORY OPTIMIZATION
      • 8.2.2.1 Dynamic Reordering
        • 8.2.2.1.1 Need for just-in-time replenishment of goods to drive market
      • 8.2.2.2 Safety Stock Management
        • 8.2.2.2.1 Ability to prevent stockouts and supply chain disruptions to drive demand
      • 8.2.2.3 Demand Sensing
        • 8.2.2.3.1 Rising demand from retail industry to drive market growth
  • 8.3 ORDER FULFILLMENT
    • TABLE 99 ORDER FULFILLMENT: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 100 ORDER FULFILLMENT: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 8.3.1 PICKING AND PACKING AUTOMATION
      • 8.3.1.1 Robotic Pickers
        • 8.3.1.1.1 Need for faster order fulfillment to boost demand
      • 8.3.1.2 Goods-to-Person Systems
        • 8.3.1.2.1 Ability to increase storage density within warehouses to fuel demand
      • 8.3.1.3 Collaborative Robots (Cobots)
        • 8.3.1.3.1 Suitability to repetitive tasks to boost demand
    • 8.3.2 ORDER ROUTING AND OPTIMIZATION
      • 8.3.2.1 Route Planning Algorithms
        • 8.3.2.1.1 Increasing demand for swift deliveries to drive adoption
      • 8.3.2.2 Multi-channel Order Management
        • 8.3.2.2.1 Rising popularity of omnichannel retailing to push demand
      • 8.3.2.3 Dynamic Slotting
        • 8.3.2.3.1 Need to adapt to changing product mixes to drive market
  • 8.4 ASSET TRACKING
    • TABLE 101 ASSET TRACKING: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 102 ASSET TRACKING: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 8.4.1 EQUIPMENT AND VEHICLE TRACKING
      • 8.4.1.1 GPS Tracking
        • 8.4.1.1.1 Rising demand for real-time visibility to boost market
      • 8.4.1.2 Telematics Systems
        • 8.4.1.2.1 Need for insights into vehicle performance and driver behavior to push demand
      • 8.4.1.3 Condition Monitoring
        • 8.4.1.3.1 Potential for continuous monitoring of equipment to drive market
    • 8.4.2 PRODUCT AND PACKAGE TRACKING
      • 8.4.2.1 RFID Tagging
        • 8.4.2.1.1 Affordability and versatility to boost demand
      • 8.4.2.2 Smart Packaging
        • 8.4.2.2.1 Growing usage to reduce product spoilage to drive market
      • 8.4.2.3 Blockchain-based Tracking
        • 8.4.2.3.1 Need for transparency in food and pharmaceutical industries to encourage adoption
  • 8.5 PREDICTIVE ANALYTICS
    • TABLE 103 PREDICTIVE ANALYTICS: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 104 PREDICTIVE ANALYTICS: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 8.5.1 DEMAND FORECASTING MODELS
      • 8.5.1.1 Machine Learning-based Forecasting
        • 8.5.1.1.1 Ability to optimize inventory management to fuel demand
      • 8.5.1.2 Time Series Analysis
        • 8.5.1.2.1 Potential to facilitate predictive maintenance to encourage adoption
      • 8.5.1.3 Bayesian Forecasting
        • 8.5.1.3.1 Need for risk management and scenario planning to drive demand
    • 8.5.2 PREDICTIVE MAINTENANCE
      • 8.5.2.1 Sensor-based Predictive Maintenance
        • 8.5.2.1.1 Ability to prevent costly breakdowns to propel demand
      • 8.5.2.2 AI-driven Predictive Maintenance
        • 8.5.2.2.1 Increasing adoption to predict equipment failures to drive market
      • 8.5.2.3 Failure Mode and Effects Analysis (FMEA)
        • 8.5.2.3.1 Growing need to address vulnerabilities to push adoption
  • 8.6 OTHER APPLICATIONS
    • TABLE 105 OTHER APPLICATIONS: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 106 OTHER APPLICATIONS MARKET, BY REGION, 2023-2028 (USD MILLION)

9 SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE

  • 9.1 INTRODUCTION
    • 9.1.1 DRIVERS: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE
    • FIGURE 46 SMALL WAREHOUSES TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 107 SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2017-2022 (USD MILLION)
    • TABLE 108 SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2023-2028 (USD MILLION)
  • 9.2 SMALL
    • TABLE 109 SMALL WAREHOUSES: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 110 SMALL WAREHOUSES: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 9.2.1 MICRO WAREHOUSES
      • 9.2.1.1 Increasing demand for quicker last-mile delivery services to boost market
    • 9.2.2 SMALL-SCALE DISTRIBUTION CENTERS
      • 9.2.2.1 Potential to streamline logistics operations to drive market
  • 9.3 MEDIUM
    • TABLE 111 MEDIUM WAREHOUSES: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 112 MEDIUM WAREHOUSES: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 9.3.1 REGIONAL WAREHOUSES
      • 9.3.1.1 Increasing demand for same-day deliveries to boost market
    • 9.3.2 CROSS-DOCKING FACILITIES
      • 9.3.2.1 Rising demand for speedy shipping to drive market growth
  • 9.4 LARGE
    • TABLE 113 LARGE WAREHOUSES: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 114 LARGE WAREHOUSES: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 9.4.1 NATIONAL DISTRIBUTION CENTERS
      • 9.4.1.1 Demand for faster order fulfillment to fuel market
    • 9.4.2 MEGA WAREHOUSES
      • 9.4.2.1 Surge in e-commerce to create demand for mega storage spaces

10 SMART WAREHOUSING MARKET, BY VERTICAL

  • 10.1 INTRODUCTION
    • 10.1.1 DRIVERS: SMART WAREHOUSING MARKET, BY VERTICAL
    • FIGURE 47 HEALTHCARE AND LIFE SCIENCES VERTICAL TO WITNESS HIGHEST GROWTH DURING FORECAST PERIOD
    • TABLE 115 SMART WAREHOUSING MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 116 SMART WAREHOUSING MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
  • 10.2 TRANSPORTATION AND LOGISTICS
    • TABLE 117 TRANSPORTATION AND LOGISTICS: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 118 TRANSPORTATION AND LOGISTICS: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 10.2.1 THIRD-PARTY LOGISTICS (3PL) COMPANIES
      • 10.2.1.1 Rising demand for e-commerce fulfillment services to spur market growth
    • 10.2.2 FREIGHT FORWARDERS
      • 10.2.2.1 Focus on sustainability and green logistics to drive market
    • 10.2.3 LAST-MILE DELIVERY PROVIDERS
      • 10.2.3.1 Rising demand for same-day deliveries to propel demand
  • 10.3 MANUFACTURING
    • TABLE 119 MANUFACTURING: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 120 MANUFACTURING: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 10.3.1 DISCRETE
      • 10.3.1.1 Shift toward cloud-based smart warehousing solutions to drive market
    • 10.3.2 PROCESS
      • 10.3.2.1 Need to improve operational efficiency and meet regulatory requirements to boost demand
  • 10.4 HEALTHCARE AND LIFE SCIENCES
    • TABLE 121 HEALTHCARE AND LIFE SCIENCES: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 122 HEALTHCARE AND LIFE SCIENCES: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 10.4.1 PHARMACEUTICAL WAREHOUSING
      • 10.4.1.1 Pressure to optimize supply chains to drive demand
    • 10.4.2 MEDICAL DEVICE WAREHOUSING
      • 10.4.2.1 Demand for agile and responsive supply chains to fuel market
    • 10.4.3 HOSPITAL SUPPLY CHAIN MANAGEMENT
      • 10.4.3.1 Focus on cost-effective healthcare delivery to boost adoption
  • 10.5 FOOD AND BEVERAGES
    • TABLE 123 FOOD AND BEVERAGES: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 124 FOOD AND BEVERAGES: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 10.5.1 COLD CHAIN LOGISTICS
      • 10.5.1.1 Potential to reduce risk of human error to drive demand
    • 10.5.2 NON-PERISHABLE LOGISTICS
      • 10.5.2.1 E-commerce boom to encourage adoption
  • 10.6 RETAIL AND E-COMMERCE
    • TABLE 125 RETAIL AND E-COMMERCE: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 126 RETAIL AND E-COMMERCE: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 10.6.1 BRICK AND MORTAR RETAIL
    • 10.6.2 E-COMMERCE RETAIL
      • 10.6.2.1 Online Marketplaces
        • 10.6.2.1.1 Need for increased efficiency and sustainability to drive market
      • 10.6.2.2 Direct-to-Consumer (DTC) Brands
        • 10.6.2.2.1 Growing demand for customization to drive market
  • 10.7 ENERGY AND UTILITIES
    • TABLE 127 ENERGY AND UTILITIES: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 128 ENERGY AND UTILITIES: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 10.7.1 OIL AND GAS
      • 10.7.1.1 Potential to facilitate predictive maintenance to drive demand
    • 10.7.2 RENEWABLE ENERGY
      • 10.7.2.1 Need for efficient storage facilities to fuel demand
    • 10.7.3 UTILITIES
      • 10.7.3.1 Requirement for real-time monitoring to encourage adoption
    • 10.7.4 MINING AND RESOURCES
      • 10.7.4.1 Ability to monitor environmental conditions and ensure worker safety to drive demand
  • 10.8 AGRICULTURE
    • TABLE 129 AGRICULTURE: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 130 AGRICULTURE: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 10.9 OTHER VERTICALS
    • TABLE 131 OTHER VERTICALS: SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 132 OTHER VERTICALS: SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)

11 SMART WAREHOUSING MARKET, BY REGION

  • 11.1 INTRODUCTION
    • FIGURE 48 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
    • FIGURE 49 INDIA TO WITNESS HIGHEST GROWTH DURING FORECAST PERIOD
    • TABLE 133 SMART WAREHOUSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 134 SMART WAREHOUSING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 11.2 NORTH AMERICA
    • 11.2.1 NORTH AMERICA: SMART WAREHOUSING MARKET DRIVERS
    • 11.2.2 NORTH AMERICA: RECESSION IMPACT
    • FIGURE 50 NORTH AMERICA: MARKET SNAPSHOT
    • TABLE 135 NORTH AMERICA: SMART WAREHOUSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 136 NORTH AMERICA: SMART WAREHOUSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 137 NORTH AMERICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2017-2022 (USD MILLION)
    • TABLE 138 NORTH AMERICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2023-2028 (USD MILLION)
    • TABLE 139 NORTH AMERICA: SMART WAREHOUSING MARKET, BY HARDWARE, 2017-2022 (USD MILLION)
    • TABLE 140 NORTH AMERICA: SMART WAREHOUSING MARKET, BY HARDWARE, 2023-2028 (USD MILLION)
    • TABLE 141 NORTH AMERICA: SMART WAREHOUSING MARKET, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 142 NORTH AMERICA: SMART WAREHOUSING MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 143 NORTH AMERICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICE, 2017-2022 (USD MILLION)
    • TABLE 144 NORTH AMERICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICE, 2023-2028 (USD MILLION)
    • TABLE 145 NORTH AMERICA: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 146 NORTH AMERICA: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 147 NORTH AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2017-2022 (USD MILLION)
    • TABLE 148 NORTH AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2023-2028 (USD MILLION)
    • TABLE 149 NORTH AMERICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
    • TABLE 150 NORTH AMERICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 151 NORTH AMERICA: SMART WAREHOUSING MARKET, BY APPLICATION, 2017-2022 (USD MILLION)
    • TABLE 152 NORTH AMERICA: SMART WAREHOUSING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 153 NORTH AMERICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 154 NORTH AMERICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 155 NORTH AMERICA: SMART WAREHOUSING MARKET, BY COUNTRY, 2017-2022 (USD MILLION)
    • TABLE 156 NORTH AMERICA: SMART WAREHOUSING MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 11.2.3 US
      • 11.2.3.1 Need for faster and more efficient supply chain operations to drive market
    • 11.2.4 CANADA
      • 11.2.4.1 Booming e-commerce industry to increase demand for smart warehousing
  • 11.3 EUROPE
    • 11.3.1 EUROPE: SMART WAREHOUSING MARKET DRIVERS
    • 11.3.2 EUROPE: RECESSION IMPACT
    • TABLE 157 EUROPE: SMART WAREHOUSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 158 EUROPE: SMART WAREHOUSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 159 EUROPE: SMART WAREHOUSING MARKET, BY SOFTWARE, 2017-2022 (USD MILLION)
    • TABLE 160 EUROPE: SMART WAREHOUSING MARKET, BY SOFTWARE, 2023-2028 (USD MILLION)
    • TABLE 161 EUROPE: SMART WAREHOUSING MARKET, BY HARDWARE, 2017-2022 (USD MILLION)
    • TABLE 162 EUROPE: SMART WAREHOUSING MARKET, BY HARDWARE, 2023-2028 (USD MILLION)
    • TABLE 163 EUROPE: SMART WAREHOUSING MARKET, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 164 EUROPE: SMART WAREHOUSING MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 165 EUROPE: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICE, 2017-2022 (USD MILLION)
    • TABLE 166 EUROPE: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICE, 2023-2028 (USD MILLION)
    • TABLE 167 EUROPE: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 168 EUROPE: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 169 EUROPE: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2017-2022 (USD MILLION)
    • TABLE 170 EUROPE: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2023-2028 (USD MILLION)
    • TABLE 171 EUROPE: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
    • TABLE 172 EUROPE: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 173 EUROPE: SMART WAREHOUSING MARKET, BY APPLICATION, 2017-2022 (USD MILLION)
    • TABLE 174 EUROPE: SMART WAREHOUSING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 175 EUROPE: SMART WAREHOUSING MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 176 EUROPE: SMART WAREHOUSING MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 177 EUROPE: SMART WAREHOUSING MARKET, BY COUNTRY, 2017-2022 (USD MILLION)
    • TABLE 178 EUROPE: SMART WAREHOUSING MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 11.3.3 UK
      • 11.3.3.1 Increasing need for efficient order fulfillment solutions to drive market
    • 11.3.4 GERMANY
      • 11.3.4.1 Rising focus on automation in manufacturing and logistics to fuel market
    • 11.3.5 FRANCE
      • 11.3.5.1 Growing logistics and retail sectors to boost demand
    • 11.3.6 SPAIN
      • 11.3.6.1 Increasing adoption of AI & ML to boost market
    • 11.3.7 ITALY
      • 11.3.7.1 Emphasis on digital transformation in logistics sector to drive demand
    • 11.3.8 REST OF EUROPE
  • 11.4 ASIA PACIFIC
    • 11.4.1 ASIA PACIFIC: SMART WAREHOUSING MARKET DRIVERS
    • 11.4.2 ASIA PACIFIC: RECESSION IMPACT
    • FIGURE 51 ASIA PACIFIC: MARKET SNAPSHOT
    • TABLE 179 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 180 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 181 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY SOFTWARE, 2017-2022 (USD MILLION)
    • TABLE 182 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY SOFTWARE, 2023-2028 (USD MILLION)
    • TABLE 183 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY HARDWARE, 2017-2022 (USD MILLION)
    • TABLE 184 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY HARDWARE, 2023-2028 (USD MILLION)
    • TABLE 185 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 186 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 187 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICE, 2017-2022 (USD MILLION)
    • TABLE 188 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICE, 2023-2028 (USD MILLION)
    • TABLE 189 ASIA PACIFIC: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 190 ASIA PACIFIC: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 191 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2017-2022 (USD MILLION)
    • TABLE 192 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2023-2028 (USD MILLION)
    • TABLE 193 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
    • TABLE 194 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 195 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY APPLICATION, 2017-2022 (USD MILLION)
    • TABLE 196 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 197 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 198 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 199 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY COUNTRY/REGION, 2017-2022 (USD MILLION)
    • TABLE 200 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY COUNTRY/REGION, 2023-2028 (USD MILLION)
    • 11.4.3 CHINA
      • 11.4.3.1 Rising need for warehouse automation to drive market
    • 11.4.4 JAPAN
      • 11.4.4.1 Growing e-commerce industry to boost adoption of smart warehousing solutions
    • 11.4.5 INDIA
      • 11.4.5.1 Increasing need for faster delivery processes to drive market
    • 11.4.6 SOUTH KOREA
      • 11.4.6.1 Rapid integration of automation and robotics in warehouses to drive market
    • 11.4.7 AUSTRALIA & NEW ZEALAND
      • 11.4.7.1 Commitment to sustainability to encourage adoption of eco-friendly warehousing solutions
    • 11.4.8 ASEAN COUNTRIES
      • 11.4.8.1 Surge in adoption of smart warehousing to drive market
    • 11.4.9 REST OF ASIA PACIFIC
  • 11.5 MIDDLE EAST & AFRICA
    • 11.5.1 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET DRIVERS
    • 11.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
    • TABLE 201 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 202 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 203 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY HARDWARE, 2017-2022 (USD MILLION)
    • TABLE 204 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY HARDWARE, 2023-2028 (USD MILLION)
    • TABLE 205 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2017-2022 (USD MILLION)
    • TABLE 206 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2023-2028 (USD MILLION)
    • TABLE 207 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 208 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY SERVICES, 2023-2028 (USD MILLION)
    • TABLE 209 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICE, 2017-2022 (USD MILLION)
    • TABLE 210 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICE, 2023-2028 (USD MILLION)
    • TABLE 211 MIDDLE EAST & AFRICA: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 212 MIDDLE EAST & AFRICA: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 213 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2017-2022 (USD MILLION)
    • TABLE 214 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2023-2028 (USD MILLION)
    • TABLE 215 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
    • TABLE 216 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 217 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY APPLICATION, 2017-2022 (USD MILLION)
    • TABLE 218 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 219 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 220 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 221 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY COUNTRY, 2017-2022 (USD MILLION)
    • TABLE 222 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 11.5.3 UAE
      • 11.5.3.1 Government initiatives to boost market
    • 11.5.4 SAUDI ARABIA
      • 11.5.4.1 Investments in logistics infrastructure and digitalization to drive market growth
    • 11.5.5 SOUTH AFRICA
      • 11.5.5.1 Focus on improving logistics infrastructure to bolster demand
    • 11.5.6 ISRAEL
      • 11.5.6.1 Increasing use of AI-driven predictive analytics to drive market
    • 11.5.7 REST OF MIDDLE EAST & AFRICA
  • 11.6 LATIN AMERICA
    • 11.6.1 LATIN AMERICA: SMART WAREHOUSING MARKET DRIVERS
    • 11.6.2 LATIN AMERICA: RECESSION IMPACT
    • TABLE 223 LATIN AMERICA: SMART WAREHOUSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 224 LATIN AMERICA: SMART WAREHOUSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 225 LATIN AMERICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2017-2022 (USD MILLION)
    • TABLE 226 LATIN AMERICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2023-2028 (USD MILLION)
    • TABLE 227 LATIN AMERICA: SMART WAREHOUSING MARKET, BY HARDWARE, 2017-2022 (USD MILLION)
    • TABLE 228 LATIN AMERICA: SMART WAREHOUSING MARKET, BY HARDWARE, 2023-2028 (USD MILLION)
    • TABLE 229 LATIN AMERICA: SMART WAREHOUSING MARKET, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 230 LATIN AMERICA: SMART WAREHOUSING MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 231 LATIN AMERICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICE, 2017-2022 (USD MILLION)
    • TABLE 232 LATIN AMERICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICE, 2023-2028 (USD MILLION)
    • TABLE 233 LATIN AMERICA: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 234 LATIN AMERICA: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 235 LATIN AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2017-2022 (USD MILLION)
    • TABLE 236 LATIN AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2023-2028 (USD MILLION)
    • TABLE 237 LATIN AMERICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
    • TABLE 238 LATIN AMERICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 239 LATIN AMERICA: SMART WAREHOUSING MARKET, BY APPLICATION, 2017-2022 (USD MILLION)
    • TABLE 240 LATIN AMERICA: SMART WAREHOUSING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 241 LATIN AMERICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 242 LATIN AMERICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 243 LATIN AMERICA: SMART WAREHOUSING MARKET, BY COUNTRY, 2017-2022 (USD MILLION)
    • TABLE 244 LATIN AMERICA: SMART WAREHOUSING MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 11.6.3 BRAZIL
      • 11.6.3.1 Government initiatives to promote digital transformation to drive market
    • 11.6.4 MEXICO
      • 11.6.4.1 Demand from automotive and electronics sectors to fuel market
    • 11.6.5 ARGENTINA
      • 11.6.5.1 Need to improve supply chain efficiency to bolster demand
    • 11.6.6 REST OF LATIN AMERICA

12 COMPETITIVE LANDSCAPE

  • 12.1 OVERVIEW
  • 12.2 STRATEGIES ADOPTED BY KEY PLAYERS
    • TABLE 245 OVERVIEW OF STRATEGIES ADOPTED BY KEY SMART WAREHOUSING VENDORS
  • 12.3 BUSINESS SEGMENT REVENUE ANALYSIS
    • 12.3.1 BUSINESS SEGMENT REVENUE ANALYSIS
    • FIGURE 52 BUSINESS SEGMENT REVENUE ANALYSIS, 2020-2022 (USD BILLION)
    • TABLE 246 SMART WAREHOUSING MARKET: BUSINESS SEGMENT REVENUE ANALYSIS
  • 12.4 MARKET SHARE ANALYSIS
    • FIGURE 53 MARKET SHARE ANALYSIS FOR KEY COMPANIES, 2022
    • TABLE 247 SMART WAREHOUSING MARKET: DEGREE OF COMPETITION
  • 12.5 COMPANY EVALUATION MATRIX, 2022
    • 12.5.1 STARS
    • 12.5.2 EMERGING LEADERS
    • 12.5.3 PERVASIVE PLAYERS
    • 12.5.4 PARTICIPANTS
    • FIGURE 54 COMPANY EVALUATION MATRIX (KEY PLAYERS), 2022
    • 12.5.5 COMPANY FOOTPRINT
    • TABLE 248 OVERALL PRODUCT FOOTPRINT ANALYSIS (KEY PLAYERS), 2022
    • TABLE 249 OVERALL PRODUCT FOOTPRINT ANALYSIS (OTHER KEY PLAYERS), 2022
  • 12.6 STARTUP/SME EVALUATION MATRIX
    • 12.6.1 PROGRESSIVE COMPANIES
    • 12.6.2 RESPONSIVE COMPANIES
    • 12.6.3 DYNAMIC COMPANIES
    • 12.6.4 STARTING BLOCKS
    • FIGURE 55 COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2022
    • 12.6.5 COMPETITIVE BENCHMARKING
    • TABLE 250 KEY STARTUPS/SMES
    • TABLE 251 PRODUCT FOOTPRINT ANALYSIS OF STARTUPS/SMES, 2022
  • 12.7 BRAND/PRODUCT COMPARATIVE ANALYSIS
    • 12.7.1 COMPARATIVE ANALYSIS OF SMART WAREHOUSING PRODUCTS
    • TABLE 252 COMPARATIVE ANALYSIS OF TRENDING SMART WAREHOUSING PRODUCTS
    • TABLE 253 COMPARATIVE ANALYSIS OF OTHER KEY SMART WAREHOUSING PRODUCTS
  • 12.8 VALUATION AND FINANCIAL METRICS OF KEY SMART WAREHOUSING VENDORS
    • FIGURE 56 FINANCIAL METRICS OF KEY SMART WAREHOUSING VENDORS
    • FIGURE 57 YTD PRICE TOTAL RETURN AND STOCK BETA OF KEY SMART WAREHOUSING VENDORS
  • 12.9 COMPETITIVE SCENARIO AND TRENDS
    • 12.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 254 PRODUCT LAUNCHES AND ENHANCEMENTS, 2022-2023
    • 12.9.2 DEALS
    • TABLE 255 DEALS, 2021-2023

13 COMPANY PROFILES

  • (Business overview, Products/Solutions/Services offered, Recent Developments, MNM view)**
  • 13.1 INTRODUCTION
  • 13.2 KEY PLAYERS
    • 13.2.1 MANHATTAN ASSOCIATES
    • TABLE 256 MANHATTAN ASSOCIATES: BUSINESS OVERVIEW
    • FIGURE 58 MANHATTAN ASSOCIATES: COMPANY SNAPSHOT
    • TABLE 257 MANHATTAN ASSOCIATES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 258 MANHATTAN ASSOCIATES: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 259 MANHATTAN ASSOCIATES: DEALS
    • 13.2.2 KORBER
    • TABLE 260 KORBER: BUSINESS OVERVIEW
    • TABLE 261 KORBER: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 262 KORBER: DEALS
    • 13.2.3 ORACLE
    • TABLE 263 ORACLE: BUSINESS OVERVIEW
    • FIGURE 59 ORACLE: COMPANY SNAPSHOT
    • TABLE 264 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 265 ORACLE: DEALS
    • 13.2.4 SAP
    • TABLE 266 SAP: BUSINESS OVERVIEW
    • FIGURE 60 SAP: COMPANY SNAPSHOT
    • TABLE 267 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 268 SAP: DEALS
    • 13.2.5 TECSYS
    • TABLE 269 TECSYS: BUSINESS OVERVIEW
    • FIGURE 61 TECSYS: COMPANY SNAPSHOT
    • TABLE 270 TECSYS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 271 TECSYS: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 272 TECSYS: DEALS
    • 13.2.6 PSI LOGISTICS
    • TABLE 273 PSI LOGISTICS: BUSINESS OVERVIEW
    • FIGURE 62 PSI LOGISTICS: COMPANY SNAPSHOT
    • TABLE 274 PSI LOGISTICS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 275 PSI LOGISTICS: DEALS
    • 13.2.7 PTC
    • TABLE 276 PTC: BUSINESS OVERVIEW
    • FIGURE 63 PTC: COMPANY SNAPSHOT
    • TABLE 277 PTC: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 278 PTC: DEALS
    • 13.2.8 REPLY
    • TABLE 279 REPLY: BUSINESS OVERVIEW
    • FIGURE 64 REPLY: COMPANY SNAPSHOT
    • TABLE 280 REPLY: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • 13.2.9 INFOR
    • TABLE 281 INFOR: BUSINESS OVERVIEW
    • TABLE 282 INFOR: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 283 INFOR: DEALS
    • 13.2.10 IBM
    • TABLE 284 IBM: BUSINESS OVERVIEW
    • FIGURE 65 IBM: COMPANY SNAPSHOT
    • TABLE 285 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 286 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 287 IBM: DEALS
    • 13.2.11 BLUE YONDER
    • TABLE 288 BLUE YONDER: BUSINESS OVERVIEW
    • TABLE 289 BLUE YONDER: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 290 BLUE YONDER: DEALS
  • *Details on Business overview, Products/Solutions/Services offered, Recent Developments, MNM view might not be captured in case of unlisted companies.
  • 13.3 OTHER KEY PLAYERS
    • 13.3.1 GENERIX GROUP
    • 13.3.2 MICROLISTICS
    • 13.3.3 ABB
    • 13.3.4 MICROSOFT
    • 13.3.5 EPICOR
    • 13.3.6 MADE4NET
    • 13.3.7 MANTIS
    • 13.3.8 SOFTEON
    • 13.3.9 SYNERGY LOGISTICS
    • 13.3.10 E2OPEN
    • 13.3.11 VINCULUM
    • 13.3.12 MECALUX
    • 13.3.13 SSI SCHAEFER
  • 13.4 STARTUP/SME PROFILES
    • 13.4.1 WAREIQ
    • 13.4.2 FOYSONIS
    • 13.4.3 INCREFF
    • 13.4.4 LOCUS ROBOTICS
    • 13.4.5 SHIPHERO
    • 13.4.6 CIN7 ORDERHIVE
    • 13.4.7 EASYECOM
    • 13.4.8 UNICOMMERCE
    • 13.4.9 IAM ROBOTICS
    • 13.4.10 LOGIWA

14 ADJACENT AND RELATED MARKETS

  • 14.1 INTRODUCTION
  • 14.2 LOGISTICS AUTOMATION MARKET - GLOBAL FORECAST TO 2028
    • 14.2.1 MARKET DEFINITION
    • 14.2.2 MARKET OVERVIEW
      • 14.2.2.1 Logistics automation market, by component
    • TABLE 291 LOGISTICS AUTOMATION MARKET, BY COMPONENT, 2018-2022 (USD MILLION)
    • TABLE 292 LOGISTICS AUTOMATION MARKET, BY COMPONENT, 2023-2028 (USD MILLION)
      • 14.2.2.2 Logistics automation market, by function
    • TABLE 293 LOGISTICS AUTOMATION MARKET, BY FUNCTION, 2018-2022 (USD MILLION)
    • TABLE 294 LOGISTICS AUTOMATION MARKET SIZE, BY FUNCTION, 2023-2028 (USD MILLION)
      • 14.2.2.3 Logistics automation market, by logistics type
    • TABLE 295 LOGISTICS AUTOMATION MARKET, BY LOGISTICS TYPE, 2018-2022 (USD MILLION)
    • TABLE 296 LOGISTICS AUTOMATION MARKET, BY LOGISTICS TYPE, 2023-2028 (USD MILLION)
      • 14.2.2.4 Logistics automation market, by organization size
    • TABLE 297 LOGISTICS AUTOMATION MARKET, BY ORGANIZATION SIZE, 2018-2022 (USD MILLION)
    • TABLE 298 LOGISTICS AUTOMATION MARKET, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
      • 14.2.2.5 Logistics automation market, by vertical
    • TABLE 299 LOGISTICS AUTOMATION MARKET, BY VERTICAL, 2018-2022 (USD MILLION)
    • TABLE 300 LOGISTICS AUTOMATION MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
      • 14.2.2.6 Logistics automation market, by software application
    • TABLE 301 LOGISTICS AUTOMATION MARKET, BY SOFTWARE APPLICATION, 2018-2022 (USD MILLION)
    • TABLE 302 LOGISTICS AUTOMATION MARKET, BY SOFTWARE APPLICATION, 2023-2028 (USD MILLION)
      • 14.2.2.7 Logistics automation market, by region
  • 14.3 SUPPLY CHAIN ANALYTICS MARKET - GLOBAL FORECAST TO 2027
    • 14.3.1 MARKET DEFINITION
    • 14.3.2 MARKET OVERVIEW
      • 14.3.2.1 Supply chain analytics market, by component
    • TABLE 303 SUPPLY CHAIN ANALYTICS MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
    • TABLE 304 SUPPLY CHAIN ANALYTICS MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • 14.3.2.2 Supply chain analytics market, by service
    • TABLE 305 SUPPLY CHAIN ANALYTICS MARKET, BY SERVICE, 2016-2021 (USD MILLION)
    • TABLE 306 SUPPLY CHAIN ANALYTICS MARKET, BY SERVICE, 2022-2027 (USD MILLION)
      • 14.3.2.3 Supply chain analytics market, by deployment mode
    • TABLE 307 SUPPLY CHAIN ANALYTICS MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
    • TABLE 308 SUPPLY CHAIN ANALYTICS MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
      • 14.3.2.4 Supply chain analytics market, by organization size
    • TABLE 309 SUPPLY CHAIN ANALYTICS MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
    • TABLE 310 SUPPLY CHAIN ANALYTICS MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
      • 14.3.2.5 Supply chain analytics market, by vertical
    • TABLE 311 SUPPLY CHAIN ANALYTICS SIZE, BY VERTICAL, 2016-2021 (USD MILLION)
    • TABLE 312 SUPPLY CHAIN ANALYTICS SIZE, BY VERTICAL, 2022-2027 (USD MILLION)
      • 14.3.2.6 Supply chain analytics market, by region
    • TABLE 313 SUPPLY CHAIN ANALYTICS MARKET, BY REGION, 2016-2021 (USD MILLION)
    • TABLE 314 SUPPLY CHAIN ANALYTICS MARKET, BY REGION, 2022-2027 (USD MILLION)

15 APPENDIX

  • 15.1 DISCUSSION GUIDE
  • 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 15.3 CUSTOMIZATION OPTIONS
  • 15.4 RELATED REPORTS
  • 15.5 AUTHOR DETAILS