物流自动化市场基于(关键地区、市场参与者、规模和份额)- 到 2030 年的预测

  • Report Code : TIPRE00005708
  • Category : Electronics and Semiconductor
  • Status : Published
  • No. of Pages : 213
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【研究报告】2022年物流自动化市场规模为352.1亿美元,预计到2030年将达到851.9亿美元;预计2022年至2030年复合年增长率为11.7%。
分析师观点:
随着消费者期望的不断提高,市场参与者正在重点投资IT和仓库运营功能。全球连接技术不断发展,从分类到整理的一切都由科技公司负责。他们正在利用最新的供应链技术和物联网 (IoT)。智能仓库作为提高供应链流程效率和速度的枢纽。从工人的可穿戴设备到传感器和智能设备,互联网设备和技术可以深刻改变物流管理。仓库和运输管理正在积极采用物流自动化机器人,实现整个供应链中货物存储和移动的自动化。物流自动化市场趋势包括自动卡车和卡车队列的集成。
物流自动化机器人集成在仓库和存储设施中,以组织和运输产品。与体力劳动相比,这些机器人的正常运行时间也更长,从而提高了行业的生产率和盈利能力。物流机器人的主要应用是部署在存储设施和仓库中用于运输货物的移动自动导引车(AGV)。他们按照预定义的路径进行操作,将产品运输和存储在仓库的不同托盘中。 AGV 有助于降低整体物流成本并有效简化供应链。因此,仓库中机器人技术的不断增加可能会对未来几年的物流自动化市场预测产生重大影响。
物流自动化市场概述:
在物流自动化市场中,自动驾驶汽车在物流业务中的重要性近年来不断增长,因为它们越来越多地部署在仓库和堆场等精确控制的环境中。然而,在高速公路和城市街道等共享和公共场所部署自动驾驶汽车可能是该行业优化物流运营和提高安全性的下一个重要步骤。人工智能技术的不断发展,以及对传感器和视觉技术开发的大量投资,可以为自动驾驶汽车提供帮助。自动驾驶汽车和无人机是自动化物流系统的重要组成部分。例如,谷歌和特斯拉在无人驾驶汽车技术方面取得了实质性进展。
由于雷达技术和计算机能力的重大进步,自动驾驶在过去二十年中已经从科幻小说发展成为非常可行的可能性。由于便携式技术已得到充分改进,允许超轻硬件根据自我改进的算法做出决策,因此工程师有更好的机会在自动驾驶汽车中模仿人类决策。
许多发展中国家正在实施自动驾驶汽车和无人机。例如,位于班加罗尔的人工智能 (AI) 初创公司 Minus Zero 推出了印度第一辆无人驾驶汽车。据该公司称,名为 zPod 的全电动原型基于相机传感器套件,可以满足所有环境限制,并可扩展至 5 级自主能力。自动驾驶的最高级别是 5 级,其中车辆完全能够在所有驾驶情况和环境中无需人工干预即可运行。
战略见解
物流自动化市场驱动因素:
零售业的持续增长& 电子商务领域
物流自动化是电子商务的重要组成部分之一,用于管理库存、跟踪、包装、仓储和运输问题。在零售和电子商务中,企业有责任保障及时交货和退货政策。如果货物或产品需要更换,公司必须处理逆向物流中的所有操作。在零售和电子商务业务中,物流自动化提供商提供升级的技术、可扩展性、灵活性和效率。此外,电子商务行业正在增长。例如,自 2020 年以来,印度已增加了 1.25 亿在线购物者,预计到 2025 年将再增加 8000 万。
物流自动化软件公司为零售和电子商务企业提供的物流需求和服务包括仓库管理、供应链管理、综合服务和订单履行。如果公司通过物流自动化服务提供商外包其物流需求,则可以实现与电子商务相关的几个好处。这使得零售和电子商务参与者能够履行其特定角色。物流自动化公司专注于供应链管理,使在线商店能够强调营销和其他业务运营。物流自动化软件使仓库经理能够有效地处理各种流程,例如多行物品分拣、分箱拣选和码垛。因此,物流自动化软件在全球零售和电子商务领域拥有巨大的机遇。这可以推动物流自动化市场的增长。
物流自动化市场细分分析:
物流自动化市场分析是通过考虑以下细分市场进行的:组件、货运方式、应用程序和最终用户行业。根据组件,市场分为硬件、软件和服务。根据货运方式,市场分为陆运、水运和空运。根据应用,市场分为仓库管理和运输管理。根据最终用户行业,市场分为制造、零售和电子商务、石油和天然气、食品和饮料、汽车、医疗保健和制药等。
物流自动化系统的硬件组件包括输送机、固定机械、工业机器人、分拣以及自动存储和检索系统。硬件借助条形码和RFID标签自动跟踪和识别集装箱。
此外,物流自动化软件与仓库管理系统集成,可以跟踪库存详细信息以供将来参考。该软件还提供实时库存更新,使仓库能够有效地分析库存周转率。
物流自动化市场区域分析:
物流自动化市场报告范围涵盖北美、欧洲、亚太地区、中东地区东部和非洲,以及南美洲和中美洲。从收入来看,北美占据了物流自动化市场份额。
但是,在物流自动化市场区域分析中,亚太地区的市场分为澳大利亚、印度、中国、日本、韩国和其他地区。亚太地区。亚太地区是物流自动化市场增长最快的地区。亚太地区经济不断增长,带动了零售和电子商务、制造业、石油和天然气、食品和饮料、汽车和医疗保健等多个行业的增长。该地区先进和创新技术的采用率很高。随着时间的推移,由于政府为发展零售和电子商务行业而进行的投资和采取的各种举措,亚洲国家物流自动化解决方案的部署有所增加。
该地区拥有强大的电子商务行业。该地区的仓库正在采用尖端技术。此外,供应商产品数量的不断增加也鼓励仓库管理采用机器人技术和物流自动化软件来进行系统化和可行的操作。亚洲国家新兴市场面临市场竞争力增强、成本压力、通胀触发、市场波动等挑战。因此,供应链的规划和执行变得复杂。为了解决这些问题,制造商和供应商迫切期待物流自动化服务,通过提高可视性和增强库存管理流程,最大限度地控制出库和入库供应链。
许多市场参与者正在该地区扩展业务,以获取更多收益。在该地区不断增加的物流自动化市场份额中占据优势。
2022 年 12 月,欧姆龙宣布在新加坡开设首个物流自动化中心,以满足新加坡、东南亚和大洋洲的客户群需求。2022 年 5 月, FM Logistic 在印度开设了第五家(也是第一家)多客户设施。这些设施是其于 2021 年推出的新“Powering 2030”战略的一部分,该战略专注于开发可持续的全渠道供应链。通过这一战略,FM Logistic 致力于应对零售和快速消费品领域、供应链管理和电子商务的重大变化。 FM Logistic 全球超过 60% 的新合同涉及全渠道物流服务。该公司在整个市场的自动化方面投入巨资,以支持其电子商务运营。
此外,亚太地区各国政府正在制定计划和举措,以进一步促进机器人和自动化解决方案的采用。例如,2021年12月,中国公布了《中国制造2025》产业政策蓝图的精简版。在此背景下,政府发布了智能制造五年发展计划,旨在实现全国70%的大型企业数字化。此外,日本政府推出新机器人战略,投资制造业、医疗保健、基础设施和农业领域,整合自动化解决方案。因此,该地区国家正致力于建造和拥有机器人以及升级各行业使用的设备和工艺。各国政府的此类举措将推动亚太地区物流自动化市场的增长。主要物流自动化市场参与者包括村田机械有限公司;大福有限公司;
主要参与者分析:
市场分析基于 Beumer Group、Daifuku Co., Ltd. 等主要参与者的年度业绩;克纳普股份公司;南澳州梅卡卢克斯;德马泰克(凯傲集团);村田机械有限公司; TGW物流集团;瑞仕格控股公司;和东芝基础设施系统和解决方案公司。对其他几个主要市场参与者进行了分析,以全面了解市场及其生态系统。
最新发展:
物流自动化市场的公司专注于无机和有机战略他们的业务增长。物流自动化市场报告强调了推动市场的关键因素和主要参与者的发展。下面列出了市场参与者最近的一些关键市场发展:
2023 年,Swisslog 宣布推出下一代 CarryPick 移动机器人货到人存储和检索系统。它具有更快、更敏捷的自动导引车 (AGV),可提高性能水平并缩短客户的投资回报。 2023 年,TGW Logistics Group GmbH 推出了用于运输手提箱、纸箱和托盘的 Quba 系列移动机器人。这家总部位于奥地利马希特伦克的公司表示,这些机器人可以处理多种任务,包括提供包装或退货工作站以及自动码垛和卸垛站。
Report Coverage
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Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
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Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

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Frequently Asked Questions


Which are the key players holding the major market share of the global logistics automation market?

The key players holding majority shares in the global logistics automation market are DAIFUKU CO., LTD.; SSI SCHAEFER; KNAPP AG; Mecalux, S.A; and TGW Logistics Group.

What will be the market size of the global logistics automation market by 2030?

The global logistics automation market is expected to reach US$ 85.1 billion by 2030.

What is the incremental growth of the global logistics automation market during the forecast period?

The incremental growth expected to be recorded for the global logistics automation market during the forecast period is US$ 49.9 billion.

What are the future trends of the global logistics automation market?

Autonomous truck and truck platooning is impacting positive impact, which is anticipated to play a significant role in the global logistics automation market in the coming years.

What are the driving factors impacting the global logistics automation market?

Adoption of Industrial 4.0 across the manufacturing industry, utilization of robotics in warehouses, and continuous growth in retail & e-commerce sector are some of the drivers for the market.

What is the estimated market size for the global logistics automation market in 2022?

The global logistics automation market was estimated to be US$ 35.21 billion in 2022 and is expected to grow at a CAGR of 11.7% % during the forecast period 2022 - 2030.

The List of Companies - Logistics Automation Market 

  1. Honeywell International Inc.
  2. Beumer Group
  3. Daifuku Co., Ltd.
  4. KNAPP AG
  5. Mecalux, S.A.
  6. Dematic (KION Group)
  7. Murata Machinery, Ltd.
  8. TGW Logistics Group
  9. Swisslog Holding AG
  10. VITRONIC

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

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  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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