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루트 최적화 소프트웨어 시장 규모, 점유율, 동향 분석 보고서 : 솔루션별, 전개별, 기업 규모별, 산업별, 기능별, 지역별, 부문별 예측(2024-2030년)

Route Optimization Software Market Size, Share & Trends Analysis Report By Solution (Software, Services), By Deployment, By Enterprise Size, By Industry Vertical, By Functionality, By Region, And Segment Forecasts, 2024 - 2030
발행일: | 리서치사: Grand View Research | 페이지 정보: 영문 120 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




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루트 최적화 소프트웨어 시장 성장과 동향

Grand View Research, Inc.의 최신 보고서에 따르면, 루트 최적화 소프트웨어 세계 시장 규모는 2024년부터 2030년까지 14.4%의 CAGR을 기록하여 2030년에는 214억 6,000만 달러에 달할 것으로 예상됩니다.

루트 최적화 소프트웨어는 출발지에서 목적지까지 가장 효율적인 배송 경로를 계획하고 최적화하기 위해 여러 정거장을 고려하도록 설계되었습니다. 이 솔루션은 교통 상황, 도로 시나리오, 배송 일정과 같은 변수를 고려하여 최적의 차량 경로를 계산하기 위해 고급 알고리즘을 활용합니다. 또한, 루트 최적화 소프트웨어는 실시간 업데이트 및 경고를 제공하여 물류 회사가 동적으로 경로를 조정하고 예기치 않은 상황에 신속하게 대응할 수 있도록 합니다.

물류 산업의 성장에 힘입어 보다 신속하고 효율적인 배송 서비스에 대한 수요가 증가함에 따라 루트 최적화 소프트웨어 시장은 크게 성장할 것으로 예상됩니다. 또한, 물류 기업들이 업무 간소화와 고객 만족도를 높이기 위해 노력함에 따라 향후 몇 년 동안 이러한 솔루션의 채택이 급증할 것으로 예상됩니다. 배송 업무를 최적화하고 보다 신속한 서비스를 제공함으로써 이 분야의 기업들은 경쟁 우위를 확보하고 경쟁사보다 한 발 앞서 나갈 수 있습니다.

빠른 기술 발전이 시장 성장의 큰 원동력이 되고 있습니다. 사물인터넷(IoT), 빅데이터 분석, 클라우드 컴퓨팅 등 첨단 기술의 발전으로 실시간 인사이트와 분석 기능이 가능해졌습니다. 이러한 기술은 루트 최적화 소프트웨어가 과거 데이터를 활용하여 미래의 교통 패턴, 도로 폐쇄 및 날씨를 예측하여 보다 정확하고 효율적인 경로 결정을 촉진할 수 있도록 합니다.

또한, 이러한 기술 발전은 운송 작업을 최적화하고 운송비 및 연료비와 같은 관련 비용을 절감할 수 있는 도구를 기업에 제공하고 있습니다. 그 결과, 루트 최적화 소프트웨어는 물류 및 운송 업체들에게 점점 더 중요한 도구가 되어가고 있으며, 이를 통해 업무 간소화, 효율성 향상 및 비용 절감을 실현할 수 있게 되었습니다.

COVID-19 팬데믹은 세계 경제에 큰 영향을 미쳤고, 시장도 그 영향을 피할 수 없었습니다. COVID-19로 인해 더 많은 사람들이 집에 머무르며 온라인으로 상품을 주문하게 되면서 택배 서비스에 대한 수요가 크게 증가했습니다. 이로 인해 물류 회사와 배송 서비스 업체는 적시에 효율적으로 상품을 배송하기 위해 경로를 최적화해야 하는 새로운 도전과제를 떠안게 되었습니다. 이에 따라 물류회사와 택배 서비스 업체들은 경로를 최적화하고 비용을 절감할 수 있는 솔루션을 찾고 있으며, 이에 대한 수요가 급증하고 있습니다. 이에 따라 이들 기업이 배송 경로를 보다 효율적으로 관리할 수 있는 새로운 소프트웨어 솔루션이 개발되고 있습니다.

루트 최적화 소프트웨어 시장 보고서 하이라이트

  • 솔루션별로는 소프트웨어 분야가 2023년 가장 높은 시장 점유율을 차지했습니다. 이러한 우위는 차량 경로 최적화, 실시간 경로 추적 프로세스 및 분석과 같은 관련 이점에 기인합니다.
  • 배치 기준으로 클라우드 부문은 2024-2030년 14.7%의 CAGR로 가장 빠르게 성장할 것으로 예상됩니다. 이는 총소유비용 절감으로 인해 클라우드 기반 배포에 대한 비즈니스 선호도가 높아졌기 때문입니다.
  • 기업 규모별로는 중소기업(SME) 부문이 2024-2030년 14.9%의 CAGR로 가장 높은 성장률을 보일 것으로 예상됩니다. 이러한 성장의 가속화는 확장성, 신뢰성, 이동성, 비용 효율성과 같은 핵심 요소에 힘입어 중소기업 사이에서 루트 최적화 소프트웨어에 대한 수요가 급증하고 있기 때문입니다.
  • 업종별로는 온디맨드 식품 및 식료품 배달 분야가 2023년 시장을 장악했습니다. 이는 온라인 음식 배달 앱의 이용이 증가하면서 경쟁사보다 우위를 점하기 위해 가장 빠른 배송을 제공하기 위해 경쟁하고 있기 때문입니다.
  • 기능을 기준으로 인바운드 부문은 2024년부터 2030년까지 15.1%의 CAGR을 기록할 것으로 예상됩니다. 이는 공급망 최적화에 대한 관심이 높아지고 적시 재고 관리 관행의 채택이 확대됨에 따라 인바운드 물류 운영의 정확한 조정과 최적화가 필요하기 때문입니다.
  • 아시아태평양은 E-Commerce 및 주문형 음식 배달 애플리케이션의 보급 증가로 인해 2024년부터 2030년까지 15.0%의 CAGR로 가장 빠르게 성장할 것으로 예상됩니다.

목차

제1장 조사 방법과 범위

제2장 주요 요약

제3장 시장 변수, 동향 및 범위 전망

  • 시장 계통 전망
  • 루트 최적화 소프트웨어 시장 - 밸류체인 분석
  • 루트 최적화 소프트웨어 시장 역학
  • 루트 최적화 소프트웨어 시장 - Porter's Five Forces 분석
  • 루트 최적화 소프트웨어 시장 - PEST 분석

제4장 루트 최적화 소프트웨어 시장 : 솔루션 유형 전망

  • 루트 최적화 소프트웨어 시장, 솔루션 유형별 분석과 시장 점유율, 2023년과 2030년
  • 소프트웨어
  • 서비스

제5장 루트 최적화 소프트웨어 시장 : 전개 방식 전망

  • 루트 최적화 소프트웨어 시장, 전개 방식 분석과 시장 점유율별, 2023년과 2030년
  • 온프레미스
  • 클라우드

제6장 루트 최적화 소프트웨어 시장 : 기업 규모 전망

  • 루트 최적화 소프트웨어 시장, 기업 규모별 분석과 시장 점유율, 2023년과 2030년
  • 대기업
  • 중소기업

제7장 루트 최적화 소프트웨어 시장 : 업계 전망

  • 루트 최적화 소프트웨어 시장, 업계별 분석과 시장 점유율, 2023년과 2030년
  • 소매·FMCG
  • 온디맨드 식품·식료품 배달
  • 라이드 헤일링과 택시 서비스
  • 홈케어와 필드 서비스
  • 물류·수송
  • 기타

제8장 루트 최적화 소프트웨어 시장 : 기능 전망

  • 루트 최적화 소프트웨어 시장, 기업 규모별 분석과 시장 점유율, 2023년과 2030년
  • 아웃바운드
  • 인바운드

제9장 루트 최적화 소프트웨어 시장 : 지역 추정·동향 분석

  • 루트 최적화 소프트웨어 시장 점유율, 지역별, 2023년 및 2030년
  • 북미
    • 솔루션별, 2017-2030년
    • 전개별, 2017-2030년
    • 기업 규모별, 2017-2030년
    • 업계별, 2017-2030년
    • 기능별, 2017-2030년
    • 미국
    • 캐나다
    • 멕시코
  • 유럽
    • 솔루션별, 2017-2030년
    • 전개별, 2017-2030년
    • 기업 규모별, 2017-2030년
    • 업계별, 2017-2030년
    • 기능별, 2017-2030년
    • 영국
    • 독일
    • 프랑스
  • 아시아태평양
    • 솔루션별, 2017-2030년
    • 전개별, 2017-2030년
    • 기업 규모별, 2017-2030년
    • 업계별, 2017-2030년
    • 기능별, 2017-2030년
    • 중국
    • 일본
    • 인도
    • 한국
    • 호주
  • 남미
    • 솔루션별, 2017-2030년
    • 전개별, 2017-2030년
    • 기업 규모별, 2017-2030년
    • 업계별, 2017-2030년
    • 기능별, 2017-2030년
    • 브라질
  • 중동 및 아프리카
    • 솔루션별, 2017-2030년
    • 전개별, 2017-2030년
    • 기업 규모별, 2017-2030년
    • 업계별, 2017-2030년
    • 기능별, 2017-2030년
    • 사우디아라비아(KSA)
    • 아랍에미리트
    • 남아프리카공화국

제10장 경쟁 분석

  • 주요 시장 진출 기업에 의한 최근의 동향과 영향 분석
  • 기업/경쟁 분류(주요 이노베이터, 시장 리더, 신흥 기업, 틈새 기업)
  • 벤더 상황
    • 주요 기업의 시장 점유율 분석, 2023년
  • 기업 분석 툴
    • 시장 상황 분석
    • 경쟁 대시보드 분석

제11장 루트 최적화 소프트웨어 시장 경쟁 상황

  • 주요 시장 진출 기업
    • Trimble Inc,
    • Caliper Corporation
    • THE DESCARTES SYSTEMS GROUP INC
    • ESRI
    • Blue Yonder,Inc.
    • Coupa Software Inc.
    • Microlise Limited
    • Omnitracs
    • Ortec
    • Paragon
    • PTV Planung Transport Verkehr GmbH
    • Route4Me, Inc
    • Routific Solutions Inc.
    • Verizon
    • WorkWave
    • Samsara Inc.
  • 주요 기업의 시장 점유율 분석, 2023년
  • 기업 분류/포지션 분석, 2023년
  • 전략 매핑
    • 확대
    • 인수합병
    • 파트너십과 협업
    • 제품/서비스 발매
    • 기타
ksm 24.07.17

Route Optimization Software Market Growth & Trends:

The global route optimization software market size is expected to reach USD 21.46 billion by 2030, witnessing a CAGR of 14.4% from 2024 - 2030, according to a new report by Grand View Research, Inc. Route optimization software is designed to plan and optimize the most efficient delivery routes from the starting point to the destination, taking into account multiple stops. These solutions leverage advanced algorithms to calculate the optimal vehicle routes, factoring in variables such as traffic conditions, road scenarios, and delivery schedules. Additionally, route optimization software provides real-time updates and alerts, enabling logistics companies to dynamically adjust their routes and respond promptly to unexpected events.

With the increasing demand for faster and more efficient delivery services, fueled by the growth of the logistics industry, the market for route optimization software is expected to witness significant expansion. Furthermore, as logistics companies strive to streamline their operations and enhance customer satisfaction, the adoption of these solutions is anticipated to proliferate in the coming years. By optimizing delivery operations and providing the faster service, businesses in this sector can gain a competitive advantage and stay ahead of their rivals.

Rapid technological advancements are a significant driving force behind the growth of the market. The development of cutting-edge technologies, including the Internet of Things (IoT), big data analytics, and cloud computing, has enabled real-time insights and analytics capabilities. These technologies empower route optimization software to leverage historical data and predict future traffic patterns, road closures, and weather conditions, facilitating more accurate and efficient routing decisions.

Furthermore, these technological advancements are equipping businesses with the tools to optimize their transportation operations and reduce associated costs, such as transportation and fuel expenses. As a result, route optimization software is becoming an increasingly crucial tool for companies operating in the logistics and transportation industries, enabling them to streamline operations, enhance efficiency, and realize cost savings.

The COVID-19 pandemic has significantly impacted the global economy, and the market was not immune to its effects. The pandemic has led to a significant increase in demand for delivery services, as more people are staying at home and ordering products online. This created new challenges for logistics companies and delivery services, as they need to optimize their routes to ensure timely and efficient delivery of goods. In response, the market has seen a surge in demand as logistics companies and delivery services look for solutions to optimize their routes and reduce costs. This has led to the development of new software solutions that can help these companies manage their delivery routes more efficiently.

Route Optimization Software Market Report Highlights:

  • Based on solution, the software segment held the highest market share in 2023. This dominance can be attributed to the associated benefits such as fleet route optimization, real-time route tracking process, and analytics
  • Based on deployment, the cloud segment is projected to grow at the fastest CAGR of 14.7% from 2024-2030. This can be attributed to the rising business preferences for cloud-based deployment owing to a reduction in the total cost of ownership
  • Based on enterprise size, the small and medium-sized enterprise (SME) segment is projected to exhibit the highest CAGR of 14.9% from 2024-2030. This accelerated growth can be attributed to the surging demand for route optimization software among SMEs, fueled by critical factors such as scalability, reliability, mobility, and cost-effectiveness
  • Based on industry vertical, the on-demand food and grocery delivery segment dominated the market in 2023 owing to rising usage of online food delivery apps, which are competing to provide the fastest delivery to gain an edge over their competitors
  • Based on functionality, the inbound segment is expected to register the fastest CAGR of 15.1% from 2024-2030, owing to the increasing focus on supply chain optimization and the growing adoption of just-in-time inventory management practices, which necessitate precise coordination and optimization of inbound logistics operations
  • Asia Pacific region is expected to grow at the fastest CAGR of 15.0% from 2024-2030 owing to the increasing proliferation of e-commerce and on-demand food delivery applications

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definitions
  • 1.3. Information Procurement
    • 1.3.1. Information analysis
    • 1.3.2. Market formulation & data visualization
    • 1.3.3. Data validation & publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List to Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Summary
  • 2.2. Market Snapshot
  • 2.3. Segment Snapshot
  • 2.4. Competitive Landscape Snapshot

Chapter 3. Market Variables, Trends, & Scope Outlook

  • 3.1. Market Lineage Outlook
  • 3.2. Route Optimization Software Market - Value Chain Analysis
  • 3.3. Route Optimization Software Market Dynamics
    • 3.3.1. Market Driver Analysis
    • 3.3.2. Market Restraint Analysis
    • 3.3.3. Market Opportunity Analysis
  • 3.4. Route Optimization Software Market - Porter's Five Forces Analysis
    • 3.4.1. Supplier power
    • 3.4.2. Buyer power
    • 3.4.3. Substitution threat
    • 3.4.4. Threat from new entrant
    • 3.4.5. Competitive rivalry
  • 3.5. Route Optimization Software Market - PEST Analysis
    • 3.5.1. Political landscape
    • 3.5.2. Economic landscape
    • 3.5.3. Social landscape
    • 3.5.4. Technology landscape

Chapter 4. Route Optimization Software Market Solution Type Outlook

  • 4.1. Route Optimization Software Market, By Solution Type Analysis & Market Share, 2023 & 2030
  • 4.2. Software
    • 4.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 4.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 4.3. Services
    • 4.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 4.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
    • 4.3.3. Consulting
      • 4.3.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
      • 4.3.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
    • 4.3.4. Map Integration & Software Deployment
      • 4.3.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
      • 4.3.4.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
    • 4.3.5. Support & Maintenance
      • 4.3.5.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
      • 4.3.5.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)

Chapter 5. Route Optimization Software Market Deployment Mode Outlook

  • 5.1. Route Optimization Software Market, By Deployment Mode Analysis & Market Share, 2023 & 2030
  • 5.2. On premise
    • 5.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 5.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 5.3. Cloud
    • 5.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 5.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)

Chapter 6. Route Optimization Software Market Enterprise Size Outlook

  • 6.1. Route Optimization Software Market, By Enterprise Size Analysis & Market Share, 2023 & 2030
  • 6.2. Large Enterprises
    • 6.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 6.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 6.3. Small & Medium Sized Enterprises
    • 6.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 6.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)

Chapter 7. Route Optimization Software Market Industry Vertical Outlook

  • 7.1. Route Optimization Software Market, By Industry Vertical Analysis & Market Share, 2023 & 2030
  • 7.2. Retail & FMCG
    • 7.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 7.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 7.3. On-Demand Food & Grocery Delivery
    • 7.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 7.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 7.4. Ride Hailing & Taxi Services
    • 7.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 7.4.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 7.5. Homecare & Field Services
    • 7.5.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 7.5.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 7.6. Logistics & Transportation
    • 7.6.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 7.6.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 7.7. Others
    • 7.7.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 7.7.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)

Chapter 8. Route Optimization Software Market Functionality Outlook

  • 8.1. Route Optimization Software Market, By Enterprise Size Analysis & Market Share, 2023 & 2030
  • 8.2. Out Bound
    • 8.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 8.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 8.3. In Bound
    • 8.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 8.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)

Chapter 9. Route Optimization Software Market: Regional Estimates & Trend Analysis

  • 9.1. Route Optimization Software Market Share by Region, 2023 & 2030
  • 9.2. North America
    • 9.2.1. Market estimates and forecasts, 2017 - 2030
    • 9.2.2. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
    • 9.2.3. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
    • 9.2.4. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
    • 9.2.5. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 9.2.6. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
    • 9.2.7. U.S.
      • 9.2.7.1. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
      • 9.2.7.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 9.2.7.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 9.2.7.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
      • 9.2.7.5. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
    • 9.2.8. Canada
      • 9.2.8.1. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
      • 9.2.8.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 9.2.8.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 9.2.8.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
      • 9.2.8.5. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
    • 9.2.9. Mexico
      • 9.2.9.1. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
      • 9.2.9.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 9.2.9.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 9.2.9.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
      • 9.2.9.5. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
  • 9.3. Europe
    • 9.3.1. Market estimates and forecasts, 2017 - 2030
    • 9.3.2. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
    • 9.3.3. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
    • 9.3.4. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
    • 9.3.5. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 9.3.6. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
    • 9.3.7. U.K.
      • 9.3.7.1. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
      • 9.3.7.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 9.3.7.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 9.3.7.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
      • 9.3.7.5. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
    • 9.3.8. Germany
      • 9.3.8.1. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
      • 9.3.8.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 9.3.8.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 9.3.8.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
      • 9.3.8.5. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
    • 9.3.9. France
      • 9.3.9.1. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
      • 9.3.9.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 9.3.9.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 9.3.9.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
      • 9.3.9.5. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
  • 9.4. Asia-Pacific
    • 9.4.1. Market estimates and forecasts, 2017 - 2030
    • 9.4.2. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
    • 9.4.3. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
    • 9.4.4. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
    • 9.4.5. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 9.4.6. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
    • 9.4.7. China
      • 9.4.7.1. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
      • 9.4.7.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 9.4.7.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 9.4.7.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
      • 9.4.7.5. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
    • 9.4.8. Japan
      • 9.4.8.1. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
      • 9.4.8.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 9.4.8.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 9.4.8.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
      • 9.4.8.5. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
    • 9.4.9. India
      • 9.4.9.1. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
      • 9.4.9.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 9.4.9.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 9.4.9.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
      • 9.4.9.5. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
    • 9.4.10. South Korea
      • 9.4.10.1. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
      • 9.4.10.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 9.4.10.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 9.4.10.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
      • 9.4.10.5. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
    • 9.4.11. Australia
      • 9.4.11.1. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
      • 9.4.11.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 9.4.11.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 9.4.11.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
      • 9.4.11.5. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
  • 9.5. South America
    • 9.5.1. Market estimates and forecasts, 2017 - 2030
    • 9.5.2. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
    • 9.5.3. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
    • 9.5.4. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
    • 9.5.5. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 9.5.6. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
    • 9.5.7. Brazil
      • 9.5.7.1. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
      • 9.5.7.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 9.5.7.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 9.5.7.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
      • 9.5.7.5. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
  • 9.6. Middle East & Africa
    • 9.6.1. Market estimates and forecasts, 2017 - 2030
    • 9.6.2. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
    • 9.6.3. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
    • 9.6.4. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
    • 9.6.5. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 9.6.6. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
    • 9.6.7. Kingdom of Saudi Arabia (KSA)
      • 9.6.7.1. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
      • 9.6.7.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 9.6.7.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 9.6.7.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
      • 9.6.7.5. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
    • 9.6.8. UAE
      • 9.6.8.1. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
      • 9.6.8.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 9.6.8.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 9.6.8.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
      • 9.6.8.5. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)
    • 9.6.9. South Africa
      • 9.6.9.1. Market estimates and forecasts, By Solution, 2017 - 2030 (USD Million)
      • 9.6.9.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 9.6.9.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 9.6.9.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
      • 9.6.9.5. Market estimates and forecasts, By Functionality, 2017 - 2030 (USD Million)

Chapter 10. Competitive Analysis

  • 10.1. Recent Developments and Impact Analysis, by Key Market Participants
  • 10.2. Company/Competition Categorization (Key Innovators, Market Leaders, Emerging, Niche Players)
  • 10.3. Vendor Landscape
    • 10.3.1. Key company market share analysis, 2023
  • 10.4. Company Analysis Tools
    • 10.4.1. Market Position Analysis
    • 10.4.2. Competitive Dashboard Analysis

Chapter 11. Route Optimization Software Market Competitive Landscape

  • 11.1. Key Market Participants
    • 11.1.1. Trimble Inc,
    • 11.1.2. Caliper Corporation
    • 11.1.3. THE DESCARTES SYSTEMS GROUP INC
    • 11.1.4. ESRI
    • 11.1.5. Blue Yonder,Inc.
    • 11.1.6. Coupa Software Inc.
    • 11.1.7. Microlise Limited
    • 11.1.8. Omnitracs
    • 11.1.9. Ortec
    • 11.1.10. Paragon
    • 11.1.11. PTV Planung Transport Verkehr GmbH
    • 11.1.12. Route4Me, Inc
    • 11.1.13. Routific Solutions Inc.
    • 11.1.14. Verizon
    • 11.1.15. WorkWave
    • 11.1.16. Samsara Inc.
  • 11.2. Key Company Market Share Analysis, 2023
  • 11.3. Company Categorization/Position Analysis, 2023
  • 11.4. Strategic Mapping
    • 11.4.1. Expansion
    • 11.4.2. Mergers & Acquisition
    • 11.4.3. Partnership & Collaborations
    • 11.4.4. Product/service launch
    • 11.4.5. Others
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