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Product Code AM091101248853
Published Date 2024/1/10
English74 PagesMiddle East / Africa

Africa Autonomous Mobile Robot Market By Type (Goods to person picking robots, Self driving forklifts, Autonomous inventory robots, Unmanned aerial vehicles), By Application (Sorting, Pick and Place, Tugging, Warehouse Fleet Management, Others), By End User (Warehouse or Distribution Center, Manufacturing, Others): Opportunity Analysis and Industry Forecast, 2022-2032Aerospace_Defence Market


Report Thumbnail
Product Code AM091101248853◆The Jan 2026 edition is also likely available. We will check with the publisher immediately.
Published Date 2024/1/10
English 74 PagesMiddle East / Africa

Africa Autonomous Mobile Robot Market By Type (Goods to person picking robots, Self driving forklifts, Autonomous inventory robots, Unmanned aerial vehicles), By Application (Sorting, Pick and Place, Tugging, Warehouse Fleet Management, Others), By End User (Warehouse or Distribution Center, Manufacturing, Others): Opportunity Analysis and Industry Forecast, 2022-2032Aerospace_Defence Market



Abstract


Summary

The Africa anti-drone market is driven due to numerous factors, including surge in use of drones for illegal purposes. Advancement in technologies has increased the potential of threats, therefore increasing the demand for the development of anti-drone systems. Furthermore, boost in awareness about security threats posed by drones, ranging from surveillance to potential payload delivery of hazardous materials, is expected to drive the development of the market.  However, technological advancements and security concerns associated with them act as a major restraint for the growth of the market. In addition, expansion of anti-drone technology and simultaneous evolution of methods used by fraudulent operators to evade detection & disruption pose a significant challenge to market development. This ongoing clash of evolution necessitates further innovation, which acts as a restraint as well as an opportunity for the market.  On the contrary, there are numerous opportunities for the market growth. Expansion of the commercial sector, driven by drone-based services, presents significant potential for anti-drone market development. Deployment of anti-drone technology to protect sensitive installations, events, and public spaces is a flourishing sector of the market. Moreover, integration of Artificial Intelligence (AI) and Machine Learning (ML) into anti-drone systems opens new avenues for advanced threat detection and autonomous responses.  The Africa anti-drone market is segmented by technology, application, end use, and platform. On the basis of technology, the market is divided into electronic system, laser system, and kinetic system. The laser segment is expected to dominate the market owing to its crucial role in disrupting and neutralizing drones as well as its precision & speed. As per application, the market is bifurcated into detection and disruption. The detection segment is projected to dominate the market with integration of advanced sensors & data analytics and its ability to detect drones at long ranges with high accuracy. In addition, the disruption segment is anticipated to advance in non-lethal methods of neutralizing drones. According to end use, the market is categorized into government, military & defense, and commercial. Depending on platform, the market is classified into ground, handheld, and UAV-based.  The Africa anti-drone market is witnessing various qualitative developments that impact the industry's direction. The constant need for new product development depicts the dynamic landscape of the market. R&D efforts are focused on increasing the adaptability and versatility of anti-drone systems, therefore ensuring their effectiveness in diverse environments. In addition, end-user perceptions play a crucial role in shaping the market. This is attributed to rise in demand for user-friendly anti-drone solutions that integrate seamlessly into existing security measures. Furthermore, pricing strategies aim to offer cost-effective solutions with high efficiency.  The key players operating in the Africa anti-drone market are Sahara Systems, Denel Dynamics, Alpha Drone Solutions, AV Works, A-Tech Systems Africa, BVR Systems, Israel Aerospace Industries (IAI), Ascent Vision Technologies, Reutech Solutions, and Aeolus Robotics.   The Porter’s five forces analysis assists to understand the competitive scenario of the Africa anti-drone market and role of each stakeholder. The analysis includes threat of new entrants, threat of substitutes, bargaining power of buyers, bargaining power of suppliers, and competitive rivalry. The threat of new entrants is substantial due to high barriers to entry, including need for advanced technology, substantial capital, and regulatory approvals. The bargaining power of suppliers is moderate, with a competitive landscape of technology providers striving to meet the evolving demands of the market. The bargaining power of buyers is high due to their ability to demand customized solutions and competitive pricing. Despite the low threat of substitutes, it further depends on alternative methods of countering drones, such as electronic countermeasures.   SWOT analysis is a management technique used to identify the strengths, weaknesses, opportunities, and threats for the market. Strengths of the market include its capability to provide sophisticated anti-drone solutions, driven by technological innovation. However, weaknesses of the market include the ongoing challenge of countering evasive drone tactics, therefore necessitating continuous R&D efforts. On the contrary, opportunities for the market are abundant, owing to surge in need for technological advancements and growth of the commercial sector. Threats for the market arise from ever-evolving hazards from drones, requiring agile responses to counter emerging threats effectively.  Additional benefits you will get with this purchase are: ● Quarterly Update and* (only available with a corporate license, on listed price) ● 5 additional Company Profile of client Choice pre- or Post-purchase, as a free update. ● Free Upcoming Version on the Purchase of Five and Enterprise User License. ● 16 analyst hours of support* (post-purchase, if you find additional data requirements upon review of the report, you may receive support amounting to 16 analyst hours to solve questions, and post-sale queries) ● 15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent to 3 working days of free work, applicable once) ● Free data Pack on the Five and Enterprise User License. (Excel version of the report) ● Free Updated report if the report is 6-12 months old or older. ● 24-hour priority response* ● Free Industry updates and white papers. Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more) ● Additional company profiles with specific to client's interest ● Additional country or region analysis- market size and forecast ● SWOT Analysis Key Market Segments By Type ● Goods to person picking robots ● Self driving forklifts ● Autonomous inventory robots ● Unmanned aerial vehicles By Application ● Sorting ● Pick and Place ● Tugging ● Warehouse Fleet Management ● Others By End User ● Warehouse or Distribution Center ● Manufacturing ● Others ● Key Market Players ○ BlueBotics SA ○ Omron Adept Technologies, Inc. ○ OnRobot A/S ○ Intelligent Motion Systems, Inc. ○ ABB Ltd. ○ YRH Robotics Technologies Co., Ltd. ○ PAL Robotics ○ Clearpath Robotics, Inc. ○ Vecna Technologies, Inc. ○ Kollmorgen Corporation

Table of Contents

  • 1 INTRODUCTION

    • 1.1 Report Description
    • 1.2 Key Market Segments
    • 1.3 Key Benefits to the Stakeholders
    • 1.4 Research Methodology
      • 1.4.1 Primary Research
      • 1.4.2 Secondary Research
      • 1.4.3 Analyst Tools and Models
  • 2 EXECUTIVE SUMMARY

    • 2.1 CXO Perspective
  • 3 MARKET OVERVIEW

    • 3.1 Market Definition and Scope
    • 3.2 Key Findings
      • 3.2.1 Top Impacting Factors
      • 3.2.2 Top Investment Pockets
    • 3.3 Porter’s Five Forces Analysis
    • 3.4 Market Dynamics
      • 3.4.1 Drivers
      • 3.4.2 Restraints
      • 3.4.3 Opportunities
    • 3.5 COVID-19 Impact Analysis on the market
  • 4 AFRICA AUTONOMOUS MOBILE ROBOT MARKET, BY TYPE

    • 4.1 Overview
      • 4.1.1 Market Size and Forecast, By Type
    • 4.2 Goods to person picking robots
    • 4.3 Self driving forklifts
    • 4.4 Autonomous inventory robots
    • 4.5 Unmanned aerial vehicles
  • 5 AFRICA AUTONOMOUS MOBILE ROBOT MARKET, BY APPLICATION

    • 5.1 Overview
      • 5.1.1 Market Size and Forecast, By Application
    • 5.2 Sorting
    • 5.3 Pick and Place
    • 5.4 Tugging
    • 5.5 Warehouse Fleet Management
    • 5.6 Others
  • 6 AFRICA AUTONOMOUS MOBILE ROBOT MARKET, BY END USER

    • 6.1 Overview
      • 6.1.1 Market Size and Forecast, By End User
    • 6.2 Warehouse or Distribution Center
    • 6.3 Manufacturing
    • 6.4 Others
  • 7 COMPETITIVE LANDSCAPE

    • 7.1 Introduction
    • 7.2 Top winning strategies
    • 7.3 Product Mapping of Top 10 Player
    • 7.4 Competitive Dashboard
    • 7.5 Competitive Heatmap
    • 7.6 Top player positioning, 2021
  • 8 COMPANY PROFILES

    • 8.1 BlueBotics SA
      • 8.1.1 Company overview
      • 8.1.2 Key Executives
      • 8.1.3 Company snapshot
      • 8.1.4 Operating business segments
      • 8.1.5 Product portfolio
      • 8.1.6 Business performance
      • 8.1.7 Key strategic moves and developments
    • 8.2 Omron Adept Technologies, Inc
      • 8.2.1 Company overview
      • 8.2.2 Key Executives
      • 8.2.3 Company snapshot
      • 8.2.4 Operating business segments
      • 8.2.5 Product portfolio
      • 8.2.6 Business performance
      • 8.2.7 Key strategic moves and developments
    • 8.3 OnRobot A/S
      • 8.3.1 Company overview
      • 8.3.2 Key Executives
      • 8.3.3 Company snapshot
      • 8.3.4 Operating business segments
      • 8.3.5 Product portfolio
      • 8.3.6 Business performance
      • 8.3.7 Key strategic moves and developments
    • 8.4 Intelligent Motion Systems, Inc
      • 8.4.1 Company overview
      • 8.4.2 Key Executives
      • 8.4.3 Company snapshot
      • 8.4.4 Operating business segments
      • 8.4.5 Product portfolio
      • 8.4.6 Business performance
      • 8.4.7 Key strategic moves and developments
    • 8.5 ABB Ltd
      • 8.5.1 Company overview
      • 8.5.2 Key Executives
      • 8.5.3 Company snapshot
      • 8.5.4 Operating business segments
      • 8.5.5 Product portfolio
      • 8.5.6 Business performance
      • 8.5.7 Key strategic moves and developments
    • 8.6 YRH Robotics Technologies Co., Ltd
      • 8.6.1 Company overview
      • 8.6.2 Key Executives
      • 8.6.3 Company snapshot
      • 8.6.4 Operating business segments
      • 8.6.5 Product portfolio
      • 8.6.6 Business performance
      • 8.6.7 Key strategic moves and developments
    • 8.7 PAL Robotics
      • 8.7.1 Company overview
      • 8.7.2 Key Executives
      • 8.7.3 Company snapshot
      • 8.7.4 Operating business segments
      • 8.7.5 Product portfolio
      • 8.7.6 Business performance
      • 8.7.7 Key strategic moves and developments
    • 8.8 Clearpath Robotics, Inc
      • 8.8.1 Company overview
      • 8.8.2 Key Executives
      • 8.8.3 Company snapshot
      • 8.8.4 Operating business segments
      • 8.8.5 Product portfolio
      • 8.8.6 Business performance
      • 8.8.7 Key strategic moves and developments
    • 8.9 Vecna Technologies, Inc
      • 8.9.1 Company overview
      • 8.9.2 Key Executives
      • 8.9.3 Company snapshot
      • 8.9.4 Operating business segments
      • 8.9.5 Product portfolio
      • 8.9.6 Business performance
      • 8.9.7 Key strategic moves and developments
    • 8.10 Kollmorgen Corporation
      • 8.10.1 Company overview
      • 8.10.2 Key Executives
      • 8.10.3 Company snapshot
      • 8.10.4 Operating business segments
      • 8.10.5 Product portfolio
      • 8.10.6 Business performance
      • 8.10.7 Key strategic moves and developments
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