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市场调查报告书
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1336696

全球地理编码和反向地理编码市场 - 2023-2030

Global Geocoding and Reverse Geocoding Market - 2023-2030

出版日期: | 出版商: DataM Intelligence | 英文 195 Pages | 商品交期: 约2个工作天内

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简介目录

市场概况

2022年,全球地理编码和反向地理编码市场规模达到123亿美元,预计到2030年将达到334亿美元,2023-2030年预测期间年复合成长率为13.3%。

新的合作伙伴协议是推动印度地理编码和反向地理编码行业市场的关键因素之一。自地理编码数据指南发布以来,印度地理编码和反向地理编码生态系统已经建立了实质性的伙伴关係和协作,这提高了该国的技术集成。

政府颁布的多项法规赋予私营部门更大的自主权,鼓励了跨学科伙伴关係。结果,国家的地理编码和反向地理编码技术得到了提高。在很短的时间内,我们就观察到了诸如 Google、Tech Mahindra 和 Genesys International 以及 Synspective 和 NeoGeo 之间的重要合作伙伴关係。因此,印度在亚太地区预计将以显着的年复合成长率增长。

市场动态

利用 5G 技术彻底改变地理编码和反向地理编码

5G 的到来预计将通过收集优质地理数据来加速行业增长。预计5G网络服务的推出将为地理编码和反向地理编码服务提供商创造新的机会。为了支持整个预测期内的市场增长,5G 网络将主要利用频谱的低频段、中频段和高频段部分。

凭藉比前几代无线技术更快的数据传输能力,5G 将使从智能手机到无人驾驶汽车和智能城市的一切成为可能。 5G 引入了一系列问题,需要藉助详细的动态地理编码和反向地理编码数据和信息来解决,以便该技术成功运行。因此,上述因素推动了全球地理编码和反向地理编码市场的增长。

使用反向地理编码进行车队管理

为了运营,车队需要地理信息。反向地理编码是绘製地图和位置数据的有用工具。通过车队跟踪硬件和软件,反向地理编码可以最有效地用于车队管理。 GPS 跟踪可用于反向地理编码,为车队管理者提供汽车的准确地址。

高效的车队始终使用基于 GPS 的系统跟踪车辆。他们可以预测送货和取货时间,监视司机的行为,并使用 GPS 跟踪他们的资产。然而,纬度和经度坐标是 GPS 系统用来存储位置信息的形式。儘管很准确,但大多数人对这些地理数据知之甚少甚至一无所知。结果,反向地理编码行业在全球范围内扩张。

缺乏熟练劳动力

地理编码和反向地理编码等技术依赖于熟悉地理编码和反向地理编码数据、GIS 软件和相关工具的熟练专业人员。如果缺乏这些专家,地理编码解决方案可能无法在各行业中得到有效采用或使用。

在广泛使用有效的地理编码和反向地理编码系统之前,用户可能依赖于手动或过时的数据传输技术。这些技术可能是劳动密集型的、容易出错且不太精确,导致数据质量和总体输出令人失望。

COVID-19 影响分析

COVID-19 大流行对地理编码和反向地理编码分析市场的影响很小,包括医疗保健组织和政府在内的许多公司在大流行期间在运送医疗用品和药物时采用了地理编码和反向地理编码技术。此外,不同的国家/地区面临着各种影响响应工作的挑战,这些挑战可以使用地理编码和反向地理编码分析来解决。

为了提供正确的见解,许多企业正在更新其係统,以使用人工智能和机器学习技术实现自动化。由于5G技术的发展,这一趋势预计在预测期内将继续攀升。在不久的将来,新的初创公司将推动地理编码和反向地理编码市场的需求。

目录

第 1 章:方法和范围

  • 研究方法论
  • 报告的研究目的和范围

第 2 章:定义和概述

第 3 章:执行摘要

  • 按组件分類的片段
  • 部署片段
  • 最终用户的片段
  • 按地区分類的片段

第 4 章:动力学

  • 影响因素
    • 司机
      • 利用 5G 技术彻底改变地理编码和反向地理编码
      • 使用反向地理编码进行车队管理
    • 限制
      • 缺乏熟练劳动力
    • 机会
    • 影响分析

第 5 章:行业分析

  • 波特五力分析
  • 供应链分析
  • 定价分析
  • 监管分析

第 6 章:COVID-19 分析

  • COVID-19 分析
    • 新冠疫情爆发前的情景
    • 新冠疫情期间的情景
    • 新冠疫情后的情景
  • COVID-19 期间的定价动态
  • 供需谱
  • 疫情期间政府与市场相关的倡议
  • 製造商战略倡议
  • 结论

第 7 章:按组件

  • 软件
  • 服务

第 8 章:通过部署

  • 基于云的
  • 本地部署

第 9 章:最终用户

  • 运输与物流
  • 房地产与建筑
  • 零售及电子商务
  • 医疗保健和生命科学
  • 银行、金融服务和保险 (BFSI)
  • 政府和公共部门
  • 其他的

第 10 章:按地区

  • 北美
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 意大利
    • 俄罗斯
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳大利亚
    • 亚太其他地区
  • 中东和非洲

第 11 章:竞争格局

  • 竞争场景
  • 市场定位/份额分析
  • 併购分析

第 12 章:公司简介

  • Google Maps Platform
    • 公司简介
    • 产品组合和描述
    • 财务概览
    • 最近的发展
  • HERE Technologies:
  • Esri
  • Tom Tom
  • Mapbox
  • OpenStreetMap
  • Microsoft Bing Maps
  • SmartyStreets
  • Geocodio
  • MapQuest

第 13 章:附录

简介目录
Product Code: ICT6702

Market Overview

Global geocoding and reverse geocoding market reached US$ 12.3 billion in 2022 and is expected to reach US$ 33.4 bllion by 2030, growing with a CAGR of 13.3% during the forecast period 2023-2030.

The new partnership agreements are one of the key elements that would propel the market for the Indian geocoding and reverse geocoding sector. The Indian geocoding and reverse geocoding ecosystem has had substantial partnerships and collaborations since the Guidelines for Geocoding Data were published, which has improved technological integration in the nation.

Inter-disciplinary partnerships have been encouraged by numerous regulations that the government has enacted to give the private sector greater autonomy. As a result, the nation's geocoding and reverse geocoding technology has improved. In a short period of time, significant partnerships like those between Google, Tech Mahindra, and Genesys International, as well as Synspective and NeoGeo, have been observed. Therefore, India is expected to grow at a significant CAGR in the Asia-Pacific.

Market Dynamics

Revolutionising Geocoding and Reverse Geocoding with 5G Technology

The arrival of 5G is anticipated to accelerate industry growth by enabling the collection of excellent geographic data. It is projected that the rollout of 5G network services will create new opportunities for geocoding and reverse geocoding service providers. To support market growth throughout the forecast period, the 5G network would primarily utilize the spectrum's low-band, mid-band, and high-band sections.

With the capacity to transmit data faster than previous generations of wireless technology, 5G will enable everything from smartphones to driverless vehicles and smart cities. 5G introduces a series of issues that need to be resolved with the help of detailed and dynamic geocoding and reverse geocoding data and information in order for this technology to operate successfully. Therefore, above mentioned factors drives the growth of the global geocoding and reverse geocoding market.

Fleet Management Using Reverse Geocoding

To operate, fleets need geographic information. Reverse geocoding is a useful tool for mapping and locational data. Through fleet tracking hardware and software, reverse geocoding can be most effectively used in fleet management. GPS tracking can be used for reverse geocoding to give fleet managers the exact addresses of the cars.

Effective fleets always keep track of their vehicles using a GPS-based system. They can predict delivery and pickup times, keep a watch on driver behaviour, and keep track of their assets with the use of GPS. However, latitude and longitude coordinates are the form that GPS systems use to store locational information. Despite being exact, most people have little to no understanding of these geographic data. As a result, the industry for reverse geocoding expanded globally.

Lack of Skilled Labors

Technologies like geocoding and reverse geocoding depend on skilled professionals who are familiar with geocoding and reverse geocoding data, GIS software, and related tools. If there is a shortage of these experts, geocoding solutions may not be adopted or used effectively across industries.

Users may have relied on manual or outdated data transmission techniques prior to the widespread use of effective geocoding and reverse geocoding systems. These techniques could be labor-intensive, prone to mistakes, and less precise, resulting in disappointments with the data's quality and overall output.

COVID-19 Impact Analysi

The COVID-19 pandemic had a minimal impact on the geocoding and reverse geocoding analytics market, and many companies, including healthcare organisations and governments, adopted geocoding and reverse geocoding techniques in the delivery of medical supplies and medications during the pandemic. Additionally, different countries experience various challenges that have an impact on response efforts and can be resolved using geocoding and reverse geocoding analytics.

To give correct insights, many businesses are updating their systems to automate using AI and ML technology. Due to the development of 5G technologies, this trend is expected to continue to climb over the forecast period. In the near future, new startups will fuel the need for the geocoding and reverse geocoding market.

Segment Analysis

The global geocoding and reverse geocoding market is segmented based on component, deployment, end-user and region.

Cost Savings, Scalability, and Diverse Applications Drives the Segmental Growth

Cloud-based grocoding has several benefits, incldui=ding cost savings, scalability and accessibility. By using cloud-based geocoding, businesses can save on the cost of hardware and software, enabling them to acccess geocoding technology at a lower cost. Cloud-based geocoding is also scalable and is being used in a variety of applications inlcusing logistics, real estate and urban planning.

For example, the logistics company UPS uses cloud-based geocoding to optimize its delivery routes based on real-time traffic data. Hence, cloud-based segment is expected to grow at a significant CAGR during the forecast period.

Geographical Analysis

Surge of Smart City Solutions in the Asia Pacific Market

Due to the region's growing economies, especially those of India, China, and Indonesia, the number of people living in cities has greatly expanded. As a result, the Asia Pacific market will have the highest growth.

In China, South Korea, and India, which are setting the standard for developing 5G and IoT infrastructure, this expansion has sparked a spike in demand for smart cities, smart infrastructure, and well-planned urban landscapes. All of these factors would contribute to the APAC market expanding throughout the forecasted period and is expected to grow at a highest CAGR.

Competitive Landscape

The major global players include: Google Maps Platform, HERE Technologies, Esri, Tom Tom, Mapbox, OpenStreetMap, Microsoft Bing Maps, SmartyStreets, Geocodio and MapQuest.

Why Purchase the Report?

  • To visualize the global geocoding and reverse geocoding market segmentation based on component, deployment, end-user and region, as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of geocoding and reverse geocoding market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as Excel consisting of key products of all the major players.

The global geocoding and reverse geocoding market report would provide approximately 61 tables, 58 figures and 195 Pages.

Target Audience 2023

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Component
  • 3.2. Snippet by Deployment
  • 3.3. Snippet by End-User
  • 3.4. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Driver
      • 4.1.1.1. Revolutionising Geocoding and Reverse Geocoding with 5G Technology
      • 4.1.1.2. Fleet Management Using Reverse Geocoding
    • 4.1.2. Restraints
      • 4.1.2.1. Lack of Skilled Labors
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis

6. COVID-19 Analysis

  • 6.1. Analysis of COVID-19
    • 6.1.1. Scenario Before COVID
    • 6.1.2. Scenario During COVID
    • 6.1.3. Scenario Post COVID
  • 6.2. Pricing Dynamics Amid COVID-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During Pandemic
  • 6.5. Manufacturers Strategic Initiatives
  • 6.6. Conclusion

7. By Component

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 7.1.2. Market Attractiveness Index, By Component
  • 7.2. Software*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Services

8. By Deployment

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 8.1.2. Market Attractiveness Index, By Deployment
  • 8.2. Cloud-Based*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. On-Premise

9. By End-User

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 9.1.2. Market Attractiveness Index, By End-User
  • 9.2. Transportation and Logistics*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Real Estate and Construction
  • 9.4. Retail and E-commerce
  • 9.5. Healthcare and Life Sciences
  • 9.6. Banking, Financial Services, and Insurance (BFSI)
  • 9.7. Government and Public Sector
  • 9.8. Others

10. By Region

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 10.1.2. Market Attractiveness Index, By Region
  • 10.2. North America
    • 10.2.1. Introduction
    • 10.2.2. Key Region-Specific Dynamics
    • 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.2.6.1. U.S.
      • 10.2.6.2. Canada
      • 10.2.6.3. Mexico
  • 10.3. Europe
    • 10.3.1. Introduction
    • 10.3.2. Key Region-Specific Dynamics
    • 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.3.6.1. Germany
      • 10.3.6.2. UK
      • 10.3.6.3. France
      • 10.3.6.4. Italy
      • 10.3.6.5. Russia
      • 10.3.6.6. Rest of Europe
  • 10.4. South America
    • 10.4.1. Introduction
    • 10.4.2. Key Region-Specific Dynamics
    • 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.4.6.1. Brazil
      • 10.4.6.2. Argentina
      • 10.4.6.3. Rest of South America
  • 10.5. Asia-Pacific
    • 10.5.1. Introduction
    • 10.5.2. Key Region-Specific Dynamics
    • 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.5.6.1. China
      • 10.5.6.2. India
      • 10.5.6.3. Japan
      • 10.5.6.4. Australia
      • 10.5.6.5. Rest of Asia-Pacific
  • 10.6. Middle East and Africa
    • 10.6.1. Introduction
    • 10.6.2. Key Region-Specific Dynamics
    • 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

11. Competitive Landscape

  • 11.1. Competitive Scenario
  • 11.2. Market Positioning/Share Analysis
  • 11.3. Mergers and Acquisitions Analysis

12. Company Profiles

  • 12.1. Google Maps Platform*
    • 12.1.1. Company Overview
    • 12.1.2. Product Portfolio and Description
    • 12.1.3. Financial Overview
    • 12.1.4. Recent Developments
  • 12.2. HERE Technologies:
  • 12.3. Esri
  • 12.4. Tom Tom
  • 12.5. Mapbox
  • 12.6. OpenStreetMap
  • 12.7. Microsoft Bing Maps
  • 12.8. SmartyStreets
  • 12.9. Geocodio
  • 12.10. MapQuest

LIST NOT EXHAUSTIVE

13. Appendix

  • 13.1. About Us and Services
  • 13.2. Contact Us