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1336696

全球地理編碼和反向地理編碼市場 - 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: 約2個工作天內

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簡介目錄

市場概況

2022年,全球地理編碼和反向地理編碼市場規模達到123億美元,預計到2030年將達到334億美元,2023-2030年預測期間年複合成長率為13.3%。

新的合作夥伴協議是推動印度地理編碼和反向地理編碼行業市場的關鍵因素之一。自地理編碼數據指南發布以來,印度地理編碼和反向地理編碼生態系統已經建立了實質性的伙伴關係和協作,這提高了該國的技術整合。

政府頒布的多項法規賦予私營部門更大的自主權,鼓勵了跨學科夥伴關係。結果,國家的地理編碼和反向地理編碼技術得到了提高。在很短的時間內,我們就觀察到了諸如 Google、Tech Mahindra 和 Genesys International 以及 Synspective 和 NeoGeo 之間的重要合作夥伴關係。因此,印度在亞太地區預計將以顯著的年複合成長率成長。

市場動態

利用 5G 技術徹底改變地理編碼和反向地理編碼

5G 的到來預計將通過收集優質地理數據來加速行業成長。預計5G網路服務的推出將為地理編碼和反向地理編碼服務提供商創造新的機遇。為了支持整個預測期內的市場成長,5G 網路將主要利用頻譜的低頻段、中頻段和高頻段部分。

憑藉比前幾代無線技術更快的數據傳輸能力,5G 將使從智慧手機到無人駕駛汽車和智慧城市的一切成為可能。 5G 引入了一系列問題,需要藉助詳細的動態地理編碼和反向地理編碼數據和資訊來解決,以便該技術成功運行。因此,上述因素推動了全球地理編碼和反向地理編碼市場的成長。

使用反向地理編碼進行車隊管理

為了營運,車隊需要地理資訊。反向地理編碼是繪製地圖和位置數據的有用工具。通過車隊追踪硬體和軟體,反向地理編碼可以最有效地用於車隊管理。 GPS 追踪可用於反向地理編碼,為車隊管理者提供汽車的準確地址。

高效的車隊始終使用基於 GPS 的系統追踪車輛。他們可以預測送貨和取貨時間,監視動力的行為,並使用 GPS 追踪他們的資產。然而,緯度和經度坐標是 GPS 系統用來存儲位置資訊的形式。儘管很準確,但大多數人對這些地理數據知之甚少甚至一無所知。結果,反向地理編碼行業在全球範圍內擴張。

缺乏熟練勞動力

地理編碼和反向地理編碼等技術依賴於熟悉地理編碼和反向地理編碼數據、GIS 軟體和相關工具的熟練專業人員。如果缺乏這些專家,地理編碼解決方案可能無法在各行業中得到有效採用或使用。

在廣泛使用有效的地理編碼和反向地理編碼系統之前,用戶可能依賴於手動或過時的數據傳輸技術。這些技術可能是勞動密集型的、容易出錯且不太精確,導致數據品質和總體輸出令人失望。

COVID-19 影響分析

COVID-19 大流行對地理編碼和反向地理編碼分析市場的影響很小,包括醫療保健組織和政府在內的許多公司在大流行期間在運送醫療用品和藥物時採用了地理編碼和反向地理編碼技術。此外,不同的國家/地區面臨著各種影響響應工作的挑戰,這些挑戰可以使用地理編碼和反向地理編碼分析來解決。

為了提供正確的見解,許多企業正在更新其系統,以使用人工智慧和機器學習技術實現自動化。由於5G技術的發展,這一趨勢預計在預測期內將繼續攀升。在不久的將來,新的初創公司將推動地理編碼和反向地理編碼市場的需求。

目錄

第 1 章:方法和範圍

  • 研究方法論
  • 報告的研究目的和範圍

第 2 章:定義和概述

第 3 章:執行摘要

  • 按組件分類
  • 部署片段
  • 最終用戶的片段
  • 按地區分類

第 4 章:動力學

  • 影響因素
    • 動力
      • 利用 5G 技術徹底改變地理編碼和反向地理編碼
      • 使用反向地理編碼進行車隊管理
    • 限制
      • 缺乏熟練勞動力
    • 機會
    • 影響分析

第 5 章:行業分析

  • 波特五力分析
  • 供應鏈分析
  • 定價分析
  • 監管分析

第 6 章:COVID-19 分析

  • COVID-19 分析
    • 新冠疫情爆發前的情景
    • 新冠疫情期間的情景
    • 新冠疫情后的情景
  • COVID-19 期間的定價動態
  • 供需譜
  • 疫情期間政府與市場相關的舉措
  • 製造商戰略舉措
  • 結論

第 7 章:按組件

  • 軟體
  • 服務

第 8 章:通過部署

  • 雲端基礎
  • 本地部署

第 9 章:最終用戶

  • 運輸與物流
  • 房地產與建築
  • 零售及電子商務
  • 醫療保健和生命科學
  • 銀行、金融服務和保險 (BFSI)
  • 政府和公共部門
  • 其他

第 10 章:按地區

  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 俄羅斯
    • 歐洲其他地區
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 澳大利亞
    • 亞太其他地區
  • 中東和非洲

第 11 章:競爭格局

  • 競爭場景
  • 市場定位/佔有率分析
  • 併購分析

第 12 章:公司簡介

  • Google Maps Platform
    • 公司簡介
    • 產品組合和描述
    • 財務概覽
    • 最近的發展
  • HERE Technologies:
  • Esri
  • Tom Tom
  • Mapbox
  • OpenStreetMap
  • Microsoft Bing Maps
  • SmartyStreets
  • Geocodio
  • MapQuest

第 13 章:附錄

簡介目錄
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