EV Charger Demand Forecasting Data | Real-Time Battery Insights, Global Coverage

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Avail. Formats

.json, .xml, and .csv

File

Coverage

250

Countries

History

years

[Sample] EV Data Samplecsv.csv

Attribute	Type	Example
token_id	Integer	119639
name	String	powertrainRange
source	Integer	1119037449527205761364150884690807154205157242658
value_number	Float	409.10093244880176
value_string
timestamp	DateTime	2025-03-21T00:40:39+00:00
cloud_event_id	String	2ubWLW5NlXuJD72fuxdIF9BMY5v

DLP Labs’ EV Charger Demand Forecasting Dataset offers battery, charging, and driving data from EV drivers to predict infrastructure needs. Ideal for data scientists and planners.

The DLP Labs EV Charger Demand Forecasting Data Product provides a comprehensive dataset to support predictive modeling and strategic planning for electric vehicle (EV) charging infrastructure. Tailored for data scientists, product managers, and data acquisition teams, this product offers detailed telemetry data sourced with informed consent from EV drivers, enabling precise analysis of charging demand patterns and infrastructure needs. This dataset captures a wide range of battery performance metrics critical for understanding EV usage and charging requirements. Included are state of charge (SOC) measurements, which indicate remaining battery capacity at the start of charging sessions, and state of health (SOH) data, reflecting long-term battery degradation trends. Additional variables such as temperature, voltage, and current provide context on how environmental and operational conditions impact battery efficiency and lifespan. These metrics allow users to assess where batteries are under stress—whether in urban centers with frequent partial charges or along highways with low-SOC arrivals—offering a foundation for geographic demand mapping. Charging behavior data complements the battery insights, detailing session times, power levels, durations, and station locations. This information reveals user preferences (e.g., fast chargers versus overnight charging) and highlights regional usage trends, helping to identify infrastructure gaps. The dataset also includes vehicle telemetry—speed, acceleration, braking, energy consumption, and route details—enabling analysis of how driving patterns influence battery drain and charging frequency. For a broader perspective, external factors like weather conditions and grid performance metrics are integrated, showing how temperature or energy availability shapes charging needs. Designed for flexibility, this dataset supports a variety of applications: data scientists can build forecasting models to predict charger demand based on EV adoption rates, driving habits, and battery degradation; product managers can use it to inform infrastructure prioritization and charger type selection; and data acquisition teams can enrich existing systems with real-world EV insights. Whether the focus is optimizing grid load distribution, identifying high-demand zones, or planning scalable charger networks, this product provides the raw data needed to derive actionable conclusions. Collected with transparency and driver consent, the DLP Labs EV Charger Demand Forecasting Data Product combines battery metrics, charging behavior, driving data, and environmental context into a robust resource. It’s an essential tool for teams aiming to align charging infrastructure with current and future EV ecosystems, supporting efficient planning and sustainable growth in the transportation sector. This version maintains a factual, descriptive tone, emphasizing the dataset’s contents and utility for technical audiences like data scientists and product managers, while avoiding overly sales-driven language. Let me know if you’d like further adjustments!

Africa (58)

Algeria

Angola

Benin

Botswana

Burkina Faso

Burundi

Cabo Verde

Cameroon

Central African Republic

Chad

Comoros

Congo

Congo (Democratic Republic of the)

Côte d'Ivoire

Djibouti

Egypt

Equatorial Guinea

Eritrea

Ethiopia

Gabon

Gambia

Ghana

Guinea

Guinea-Bissau

Kenya

Lesotho

Liberia

Libya

Madagascar

Malawi

Mali

Mauritania

Mauritius

Mayotte

Morocco

Mozambique

Namibia

Niger

Nigeria

Rwanda

Réunion

Saint Helena, Ascension and Tristan da Cunha

Sao Tome and Principe

Senegal

Seychelles

Sierra Leone

Somalia

South Africa

South Sudan

Sudan

Swaziland

Tanzania, United Republic of

Togo

Tunisia

Uganda

Western Sahara

Zambia

Zimbabwe

Asia (51)

Afghanistan

Armenia

Azerbaijan

Bahrain

Bangladesh

Bhutan

Brunei Darussalam

Cambodia

China

Cyprus

Georgia

Hong Kong

India

Indonesia

Iran (Islamic Republic of)

Iraq

Israel

Japan

Jordan

Kazakhstan

Korea (Democratic People's Republic of)

Korea (Republic of)

Kuwait

Kyrgyzstan

Lao People's Democratic Republic

Lebanon

Macao

Malaysia

Maldives

Mongolia

Myanmar

Nepal

Oman

Pakistan

Palestine, State of

Philippines

Qatar

Saudi Arabia

Singapore

Sri Lanka

Syrian Arab Republic

Taiwan

Tajikistan

Thailand

Timor-Leste

Turkey

Turkmenistan

United Arab Emirates

Uzbekistan

Vietnam

Yemen

Europe (52)

Albania

Andorra

Austria

Belarus

Belgium

Bosnia and Herzegovina

Bulgaria

Croatia

Czech Republic

Denmark

Estonia

Faroe Islands

Finland

France

Germany

Gibraltar

Greece

Guernsey

Holy See

Hungary

Iceland

Ireland

Isle of Man

Italy

Jersey

Kosovo

Latvia

Liechtenstein

Lithuania

Luxembourg

Macedonia (the former Yugoslav Republic of)

Malta

Moldova (Republic of)

Monaco

Montenegro

Netherlands

Norway

Poland

Portugal

Romania

Russian Federation

San Marino

Serbia

Slovakia

Slovenia

Spain

Svalbard and Jan Mayen

Sweden

Switzerland

Ukraine

United Kingdom

Åland Islands

North America (13)

Belize

Bermuda

Canada

Costa Rica

El Salvador

Greenland

Guatemala

Honduras

Mexico

Nicaragua

Panama

Saint Pierre and Miquelon

United States of America

Oceania (25)

American Samoa

Australia

Cook Islands

Fiji

French Polynesia

Guam

Kiribati

Marshall Islands

Micronesia (Federated States of)

Nauru

New Caledonia

New Zealand

Niue

Norfolk Island

Northern Mariana Islands

Palau

Papua New Guinea

Pitcairn

Samoa

Solomon Islands

Tokelau

Tonga

Tuvalu

Vanuatu

Wallis and Futuna

Other (9)

Antarctica

Bouvet Island

British Indian Ocean Territory

Christmas Island

Cocos (Keeling) Islands

French Southern Territories

Heard Island and McDonald Islands

South Georgia and the South Sandwich Islands

United States Minor Outlying Islands

South America (42)

Anguilla

Antigua and Barbuda

Argentina

Aruba

Bahamas

Barbados

Bolivia (Plurinational State of)

Bonaire, Sint Eustatius and Saba

Brazil

Cayman Islands

Chile

Colombia

Cuba

Curaçao

Dominica

Dominican Republic

Ecuador

Falkland Islands (Malvinas)

French Guiana

Grenada

Guadeloupe

Guyana

Haiti

Jamaica

Martinique

Montserrat

Paraguay

Peru

Puerto Rico

Saint Barthélemy

Saint Kitts and Nevis

Saint Lucia

Saint Martin (French part)

Saint Vincent and the Grenadines

Sint Maarten (Dutch part)

Suriname

Trinidad and Tobago

Turks and Caicos Islands

Uruguay

Venezuela (Bolivarian Republic of)

Virgin Islands (British)

Virgin Islands (U.S.)

6 years of historical data

DLP Labs has not published pricing information for this product yet. You can request detailed pricing information below.

Request detailed pricing

Methods

Frequency

Format

Machine Learning (ML)

Collecting Real-World Insights

Fuel Efficiency Estimates

Product Research Supplier Data Enrichment

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What is EV Charger Demand Forecasting Data Real-Time Battery Insights, Global Coverage?

DLP Labs’ EV Charger Demand Forecasting Dataset offers battery, charging, and driving data from EV drivers to predict infrastructure needs. Ideal for data scientists and planners.

What is EV Charger Demand Forecasting Data Real-Time Battery Insights, Global Coverage used for?

This product has 5 key use cases. DLP Labs recommends using the data for Machine Learning (ML), Collecting Real-World Insights, Fuel Efficiency Estimates, Product Research, and Supplier Data Enrichment. Global businesses and organizations buy Mobility Data from DLP Labs to fuel their analytics and enrichment.

Who can use EV Charger Demand Forecasting Data Real-Time Battery Insights, Global Coverage?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Mobility Data. Get in touch with DLP Labs to see what their data can do for your business and find out which integrations they provide.

How far back does the data in EV Charger Demand Forecasting Data Real-Time Battery Insights, Global Coverage go?

This product has 6 years of historical coverage. It can be delivered on a secondly basis.

Which countries does EV Charger Demand Forecasting Data Real-Time Battery Insights, Global Coverage cover?

This product includes data covering 250 countries like USA, China, Japan, Germany, and India. DLP Labs is headquartered in United States of America.

How much does EV Charger Demand Forecasting Data Real-Time Battery Insights, Global Coverage cost?

Pricing information for EV Charger Demand Forecasting Data Real-Time Battery Insights, Global Coverage is available by getting in contact with DLP Labs. Connect with DLP Labs to get a quote and arrange custom pricing models based on your data requirements.

How can I get EV Charger Demand Forecasting Data Real-Time Battery Insights, Global Coverage?

Businesses can buy Mobility Data from DLP Labs and get the data via S3 Bucket, REST API, Streaming API, and Feed API. Depending on your data requirements and subscription budget, DLP Labs can deliver this product in .json, .xml, .csv, and .sql format.

What is the data quality of EV Charger Demand Forecasting Data Real-Time Battery Insights, Global Coverage?

You can compare and assess the data quality of DLP Labs using Datarade’s data marketplace.

What are similar products to EV Charger Demand Forecasting Data Real-Time Battery Insights, Global Coverage?

This product has 3 related products. These alternatives include Global Car Data Real-Time API EV Vehicle Dataset Telematics, Battery Performance, Charging Insights, Car Spec Data, Irys Geospatial Data Insights Global Real-Time & Historical GPS Data, and Electric Vehicle (EV) Data Product Data Car Specs, Equip & Price (Europe) Updated Monthly Competition Benchmark. You can compare the best Mobility Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Let data providers come to you!

EV Charger Demand Forecasting Data | Real-Time Battery Insights, Global Coverage

Data Dictionary

Description

Country Coverage

History

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

DLP Labs
Real-time vehicle telemetry and identity data with informed driver consent.

Let data providers come to you!

EV Charger Demand Forecasting Data | Real-Time Battery Insights, Global Coverage

Data Dictionary

Description

Country Coverage

History

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

DLP Labs Real-time vehicle telemetry and identity data with informed driver consent.

DLP Labs
Real-time vehicle telemetry and identity data with informed driver consent.