ISO 15143‑3 AEMP Data Hub Market Outlook

According to our latest research, the Global ISO 15143‑3 AEMP Data Hub market size was valued at $1.2 billion in 2024 and is projected to reach $4.7 billion by 2033, expanding at a robust CAGR of 16.5% during the forecast period of 2025–2033. The major factor propelling the growth of this market globally is the increasing adoption of telematics and connected equipment across heavy industries such as construction, mining, and agriculture. The ISO 15143‑3 (AEMP 2.0) standard has become a pivotal enabler for seamless data integration and interoperability, allowing stakeholders to optimize fleet management, enhance equipment utilization, and drive predictive maintenance initiatives. This rapid digital transformation, coupled with heightened demand for real-time asset tracking and regulatory mandates for equipment data transparency, is reshaping operational paradigms and accelerating market expansion worldwide.

Regional Outlook

North America commands the largest share of the global ISO 15143‑3 AEMP Data Hub market, accounting for approximately 38% of the total market value in 2024. This dominance is attributed to the region’s mature construction and mining sectors, widespread adoption of advanced telematics, and early implementation of the ISO 15143‑3 standard by major OEMs and fleet operators. The United States, in particular, benefits from a robust regulatory framework, strong digital infrastructure, and a high concentration of industry-leading technology providers. These factors have fostered an environment conducive to rapid innovation, integration of cloud-based data hubs, and comprehensive deployment of asset tracking solutions. Moreover, North American enterprises are increasingly leveraging data-driven insights to streamline operations, reduce costs, and comply with stringent safety and emissions regulations, further reinforcing the region’s leadership in the global market.

In contrast, Asia Pacific is emerging as the fastest-growing region in the ISO 15143‑3 AEMP Data Hub market, projected to register a remarkable CAGR of 20.3% from 2025 to 2033. The surge in infrastructure development, urbanization, and government-led digitalization initiatives across China, India, Japan, and Southeast Asia is driving the adoption of connected equipment and telematics platforms. Investment in smart construction, mining automation, and precision agriculture is accelerating demand for interoperable data hubs compliant with ISO 15143‑3 standards. Additionally, the influx of global OEMs, rising construction equipment sales, and supportive policy frameworks are catalyzing technological upgrades and cloud deployments in the region. As Asia Pacific economies continue to modernize their industrial base, the appetite for real-time equipment monitoring and predictive maintenance solutions is expected to fuel sustained market growth.

Meanwhile, Latin America and the Middle East & Africa represent promising but comparatively nascent markets for ISO 15143‑3 AEMP Data Hubs. These regions face unique challenges such as limited digital infrastructure, fragmented equipment ownership, and varying regulatory landscapes. However, localized demand for fleet management and asset tracking is gradually increasing, particularly in sectors like oil & gas and agriculture. Governments and private operators are beginning to recognize the value of standardized data integration for enhancing operational efficiency and safety. Targeted investments in connectivity, workforce training, and policy harmonization are expected to bridge adoption gaps over the forecast period, positioning these emerging economies as significant contributors to future market expansion.

Report Scope

This repository includes the data displayed in the LULUCF Data Hub, an online platform hosted in the EU Forest Observatory compiling various datasets of country-level CO₂ emissions and removals from land use, land-use change and forestry (LULUCF). The LULUCF Data Hub is described by Melo et al. (in preparation).

Version 2.0 (NGHGI 2024 release) includes:

Update of version 1.0 of the NGHGI LULUCF database compiled by the European Commission (EC) Joint Research Centre (JRC) and first described by Grassi et al. 2022. The database includes CO₂ fluxes from LULUCF sourced from the National Greenhouse Gas Inventories (NGHGIs) submitted to the United Nations Framework Convention on Climate Change (UNFCCC), using methodologies established by the Intergovernmental Panel on Climate Change (IPCC) (timeseries_NGHGI_2.0.csv). CO₂ fluxes are allocated to the classes Forest (excl. organic soils, excl. HWP), Deforestation (conversion of forest land to other land uses), Other non-forest land uses, Organic soils, and Harvested wood products (HWP), with gaps filled without altering the levels and trends of the reported data.

Version 2.0 of the NGHGI database includes data from country reporting to the UNFCCC under the Paris Agreement reporting rules (or “Paris GHG reporting”, noting that reporting to the Paris Agreement started in 2024). Data is extracted from Common Reporting Tables (CRT) related to the first Biennial Transparency Report (BTR) for 78 countries (we include data submitted until April 2025). These data are complemented by pre-Paris GHG reporting data from V1.0 for the remaining 107 countries with LULUCF data. Of the 198 Parties to the UNFCCC, 12 countries do not report emissions and removals for the LULUCF sector. Information on data sources by country is available in the file text_box_iso3_2.0.csv.

In the LULUCF Data Hub version 2.0, the NGHGI estimates (2000-2023) are compared to results from two key global initiatives:

• Global Carbon Budget (GCB) 2024 data from Friedlingstein et al. (2025), using four bookkeeping models to estimate CO₂ fluxes from Forest, Deforestation and Other transitions, and external datasets to estimate CO₂ emissions from Organic soils, from 2000 onwards. These original results are reclassified to match the NGHGI classes (timeseries_GCB_original_2.0.csv). In addition, forest fluxes from the GCB are adjusted to the NGHGI definition of human-induced CO₂ sink in managed land based on the methodology from Grassi et al. (2023) (timeseries_GCB_translated_2.0.csv). This increases the forest area and adds the indirect anthropogenic effects (e.g., due to increased atmospheric CO₂) compared to the original/reclassified results.
• Global Forest Watch (GFW) 2024 data from Gibbs et al. (2025) includes CO₂ fluxes from forests and deforestation from 2001 onwards, estimated by integrating Earth observation data into a geospatial GHG monitoring framework. Gross fluxes from the model are reclassified to match the NGHGI classes (timeseries_GFW_original_2.0.csv). In addition, forest fluxes from GFW are adjusted to the NGHGI definition of human-induced CO₂ sink in managed land by excluding the area of unmanaged forests (timeseries_GFW_translated_2.0.csv). Thus, in this case, forest area increases compared to the original/reclassified results.

Note there is no update to GCB and GFW data from version 1.0 to version 2.0. Both versions use the 2024 data from these two datasets.

Data is available in Mt CO₂ yr⁻¹. Net CO₂ fluxes include emissions by sources and removals by sinks. Non-CO₂ emissions are not included. Countries are identified by their ISO3 code. In addition, the timeseries files also include aggregated estimates for World (WRD) and the European Union (EU27).

The LULUCF Data Hub was pre-released during the IPCC Expert Meeting on Reconciling Anthropogenic Land-Use Emissions (IPCC, 2024; Grassi et al., 2025). In November 2024, version 1.0 was released, and is here complemented by version 2.0. The current versions available are:

• Version 1.0: NGHGI 2023 (pre-Paris GHG reporting, updated August 2024), GCB 2024, GFW 2024.
• Version 2.0: NGHGI 2024 (Paris GHG reporting, updated April 2025, complemented by pre-Paris GHG reporting from version 1.0), GCB 2024, GFW 2024.

For questions regarding this dataset, please email joana.brandao-de-melo@ec.europa.eu or giacomo.grassi@ec.europa.eu

Citation policy: Users should cite the dataset version they use (this dataset) for the NGHGI file. For the GCB-derived files, please cite Friedlingstein et al. (2025), and for the GFW-derived files, please cite Gibbs et al. (2025). When referring to the dataset as a whole, the Zenodo version DOI or concept DOI should be used. For methodological details and context on the LULUCF Data Hub, please cite the associated data description paper: Melo et al. (in preparation, Earth System Science Data).

Soil organic carbon stock in t/ha for 0-30 cm depth interval. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. To visualize these layers please use www.soilgrids.org.

The GLA recently published a briefing examining the demographic evidence around trends in the population of young children (age 0 to 10) in London, see London’s population of young children – current and future.

These three new data hubs supplement the briefing by enabling users to access current data and trends at borough level. They are intended for those working in central, regional or local government, or in civil society, who need the borough level data for planning.

Two practical tips:

1) To open your selected hub, click its link on the left side of the screen, not the "Download" button on the right side;

2) Loading can be slow - up to one minute.

These are trial versions, so feedback on your experience using the tools would be most welcome. For any queries or comments, please contact Veronica.Tuffrey@london.gov.uk

27/11/24 Please note the bug affecting data downloads has been fixed. You can now control the volume of data copied or downloaded via the filters and/or changing the number of rows visible in the table.