Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Japan: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

The population density in Japan saw no significant changes in 2022 in comparison to the previous year 2021 and remained at around 343.28 inhabitants per square kilometer. But still, the population density reached its lowest value of the observation period in 2022. Population density refers to the average number of residents per square kilometer of land across a given country or region. It is calculated by dividing the total midyear population by the total land area.Find more key insights for the population density in countries like Mongolia.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.

This map shows population density in Japan in 2015, by Country, Prefecture, Municipality, and Block. Population density is shown by people per square kilometer. The national average population density of Japan is 337 people per square kilometer.The pop-up is configured to show the following information at each geography level:Population densityTotal populationTotal householdsPopulation counts by age groupsPopulation counts by genderThe source of this data is Esri Japan. The vintage is 2015.Additional Esri Resources:Esri DemographicsPermitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

DATASET: Alpha version 2000 and 2010 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and MODIS-derived urban extent change built in. REGION: Asia SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described on the website and in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM00urbchg.tif = Vietnam (VNM) population count map for 2000 (00) adjusted to match UN national estimates and incorporating urban extent and urban population estimates for 2000. DATE OF PRODUCTION: July 2013 Dataset construction details and input data are provided here: www.asiapop.org and here: http://www.plosone.org/article/info:doi/10.1371/journal.pone.0055882

DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Asia SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). DATE OF PRODUCTION: January 2013

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Digital Map Market Size 2024-2028

The digital map market size is forecast to increase by USD 19.75 billion at a CAGR of 26.06% between 2023 and 2028.

What will be the Size of the Digital Map Market During the Forecast Period?

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The market In the US is experiencing robust growth, driven by the integration of Geographic Information Systems (GIS), Global Positioning Systems (GPS), and advanced computer technology into various industries. The proliferation of connected devices, including PDAs, Cortana, Siri, Amazon Echo, and Google Now, has increased the demand for digital maps in real-time mapping applications and map analytics. Real-time tracking systems are gaining popularity in sectors such as energy & power, automobile, telecommunication, and transportation, providing valuable spatial data on terrain, roads, buildings, rivers, and other features. APIs enable seamless integration of digital maps into various applications, enhancing user experience and ROI.
The internet has made digital maps accessible from anywhere, further fueling market growth. Overall, the market is poised for significant expansion, offering numerous opportunities for businesses and innovators alike.

How is this Digital Map Industry segmented and which is the largest segment?

The digital map industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Navigation
  Geocoders
  Others


Type

  Outdoor
  Indoor


Geography

  APAC

    China
    India
    Japan


  North America

    US


  Europe

    Germany


  South America



  Middle East and Africa

By Application Insights

The navigation segment is estimated to witness significant growth during the forecast period.

Digital maps play a crucial role in various industries, particularly in automotive applications for driver assistance systems. The integration of Internet of Things (IoT) enables remote monitoring of cars and theft recovery. The increasing use of connected cars and the development of Long-Term Evolution (LTE) technologies are driving the demand for digital maps. These maps provide real-time traffic information, helping drivers navigate urban areas with high population density and traffic congestion more efficiently. Additionally, digital maps are essential for transportation route planning, public services, agriculture, and conservation efforts. In agriculture, digital maps help determine soil types, nutrient levels, and crop yields.

Waste reduction and the protection of sensitive ecosystems and habitats are also facilitated by digital maps. Overall, digital maps offer valuable insights for urban planning, emergency situations, and various industries, making them an indispensable tool for businesses and individuals alike.

Get a glance at the Digital Map Industry report of share of various segments. Request Free Sample

The navigation segment was valued at USD 4.58 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 43% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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In the Asia-Pacific (APAC) region, the market for digital maps is experiencing growth due to the increasing use of Internet of Things (IoT) devices and real-time mapping technologies. Countries such as Japan, China, and South Korea, along with a few Southeast Asian nations, are key contributors to this market expansion. IoT devices, including GPS-enabled PDAs, professional assistants, and smart home devices, are being integrated into digital maps to provide real-time data. This data can be used to develop real-time dashboards, enabling organizations and local governments to effectively manage traffic, monitor oil field equipment, and more.

The growing digital connectivity landscape in APAC is fueling the demand for digital maps and related technologies, including APIs, SDKs, and mapping solutions from providers such as Nearmap, ESRI, and INRIX.

Digital Map Market Dynamics

Our digital map market researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

What are the key market drivers leading to the rise In the adoption of Digital Map Industry?

Adoption of intelligent PDAs is the key driver of the market.

The markets encompass a range of advanced technologies and applications that leverage Geographic Information Systems (

地図(マップ)上に高齢者人口の割合の統計データを市区町村別で色分け表示しています。過去から現在までの高齢者人口の割合の推移も階級区分図(コロプレスマップ)で変化が見えるよう高速読込で可視化し、どの市区町村が高いかが視覚で理解できます。GeoJsonの無料ダウンロードも可能です。研究や分析レポートにお役立て下さい。

地図(マップ)上に年少人口の割合の統計データを都道府県別で色分け表示しています。過去から現在までの年少人口の割合の推移も階級区分図(コロプレスマップ)で変化が見えるよう高速読込で可視化し、どの都道府県が高いかが視覚で理解できます。GeoJsonの無料ダウンロードも可能です。研究や分析レポートにお役立て下さい。

地図(マップ)上に生産年齢人口の割合の統計データを都道府県別で色分け表示しています。過去から現在までの生産年齢人口の割合の推移も階級区分図(コロプレスマップ)で変化が見えるよう高速読込で可視化し、どの都道府県が高いかが視覚で理解できます。GeoJsonの無料ダウンロードも可能です。研究や分析レポートにお役立て下さい。

地図(マップ)上に年少人口に占める割合（０～14歳）の統計データを市区町村別で色分け表示しています。過去から現在までの年少人口に占める割合（０～14歳）の推移も階級区分図(コロプレスマップ)で変化が見えるよう高速読込で可視化し、どの市区町村が高いかが視覚で理解できます。GeoJsonの無料ダウンロードも可能です。研究や分析レポートにお役立て下さい。

地図(マップ)上に高齢者人口の割合の統計データを都道府県別で色分け表示しています。過去から現在までの高齢者人口の割合の推移も階級区分図(コロプレスマップ)で変化が見えるよう高速読込で可視化し、どの都道府県が高いかが視覚で理解できます。GeoJsonの無料ダウンロードも可能です。研究や分析レポートにお役立て下さい。