The most traditional way to examine land use change is to use a cross-tabulation matrix to identify the most important categorical land use transition from time 1 to time 2. However, such method does not necessarily capture or indicate the real changes on the landscape. For example, assuming that from 1986 to 2015, Utah’s total agricultural land loss (aka, net change) is 200 square miles, but this does not mean that only 200 square miles of agricultural land have experienced land use change in the last 30 years. It is highly possible that a given quantity of agricultural land loss at one location can be accompanied by another quantity of agricultural land gain at another location (aka, swapping). Thus, by purely using net change, we might fail to capture the swapping component of change, and fail to capture the intricate transitions of landscape. This dataset analyzed important categorical land use change while account for persistence and swaps. It provides additional information concerning what happened on the landscape.
This dataset includes a statistical table and a GIS raster file. The table summarizes the persistence and swaps, as well as gross gain and gross loss in the Wasatch Range Metropolitan Area (WRMA). The GIS file is the compiled spatial layer that represents the gain, loss, persistence, and swaps on the landscape. We used Water Related Land Use data of Year 1986 to Year 2015 for this analysis. Land use categories used in this dataset include urban (URB), irrigated agricultural land (IR), and non-irrigated agricultural land (NI), sub-irrigated agricultural land (SubIR), riparian (RIP), water, (WATER), and other (OTHER). We then examined the categorical land use changes with a transition matrix.
A categorical land use gain is determined as the conversion from other sources to this particular categorical land use, and a categorical land use loss is defined as conversion from this particular categorical land use to other uses. For example, the gain of irrigated agricultural (IR) land use will be the sum of areas of urban to IR, non-irrigated agricultural land to IR, sub-irrigated agricultural land to IR, riparian to IR, water to IR, and other to IR. The total change is calculated as the sum of gain and loss. The net change equals to |Gain|-|Loss|. The Swap =2* MIN(Gain,Loss).
Agricultural lands habitat identified as Key Habitat in the Nevada Wildlife Action Plan (2012). These data were derived from the USGS Southwest Regional GAP landcover dataset and crosswalked to fit the ecological framework of the Wildlife Action Plan.These data represent the SWReGAP Agricultural ecological system.The Nature Conservancy did not develop a biophysical setting for this key habitat type.These data are not an exhaustive representation of Nevada agricultural habitats, and should only serve as a point of reference for habitat and wildlife conservation planning.
According to our latest research, the global battery swapping for agricultural machinery market size reached USD 312 million in 2024, driven by the increasing adoption of electric machinery in the agricultural sector. The market is expected to grow at a robust CAGR of 27.6% during the forecast period, reaching a projected value of USD 2,957 million by 2033. This remarkable growth is primarily fueled by the urgent need for sustainable and efficient farming solutions, as well as the rising demand for rapid refueling technologies that minimize downtime for agricultural operations.
One of the primary growth factors for the battery swapping for agricultural machinery market is the global shift towards sustainable agricultural practices. With increasing concerns over environmental degradation, governments and agricultural organizations are actively promoting the electrification of machinery to reduce carbon emissions and reliance on fossil fuels. Battery swapping technology supports this green transition by enabling quick and efficient energy replenishment, thus making electric agricultural machinery more viable for large-scale and continuous operations. Moreover, the growing availability of renewable energy sources to charge swappable batteries further amplifies the sustainability benefits, aligning with global climate targets and regulatory mandates.
Another significant driver is the operational efficiency that battery swapping solutions offer to the agricultural sector. Traditional charging methods for electric machinery can result in prolonged downtime, which is particularly detrimental during peak farming seasons. Battery swapping stations, on the other hand, allow farmers and contractors to quickly exchange depleted batteries with fully charged ones, ensuring seamless operation of tractors, harvesters, and other machinery. This rapid turnaround is especially valuable for large farms and agricultural contractors who manage vast tracts of land and require continuous equipment availability to maximize productivity and minimize operational costs.
Technological advancements and the evolution of service models are also propelling market growth. Innovations in battery chemistry, modular battery pack designs, and automated swapping infrastructure are making battery swapping more accessible and cost-effective for a wide range of end-users, including small and medium farms. Additionally, flexible service models such as subscription and pay-per-use lower the barriers to entry for adopting battery swapping solutions, allowing farmers to benefit from advanced technology without significant upfront investments. This democratization of access is expected to accelerate market penetration, particularly in emerging economies where capital constraints are more pronounced.
From a regional perspective, Asia Pacific currently dominates the battery swapping for agricultural machinery market, accounting for the largest share in 2024. The region's leadership is attributed to its vast agricultural landscape, rapid electrification initiatives, and strong government support for sustainable farming technologies. North America and Europe are also witnessing increasing adoption, driven by stringent emission regulations and high mechanization rates. Meanwhile, Latin America and the Middle East & Africa are emerging as promising markets, supported by growing investments in agricultural modernization and renewable energy infrastructure.
The battery type segment is a critical determinant of the performance, adoption, and scalability of battery swapping for agricultural machinery. In 2024, lithium-ion batteries held the largest market share, owing to their superior energy density, longer lifecycle, and faster charging capabilities compared to traditional alternatives. Lithium-ion technology's lightweight nature and ability to deliver consistent power output make it particularly suitable for high-demand applications such as tractors and harvesters. A
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The battery swap tractor market is poised for significant growth by 2029, driven by increasing demand for sustainable agricultural practices and the need for enhanced operational efficiency. While precise market sizing data is unavailable, a reasonable estimation can be made based on the growth trajectory of the broader agricultural machinery sector and the rapidly expanding adoption of electric vehicles. Assuming a conservative Compound Annual Growth Rate (CAGR) of 15% – reflecting both technological advancements and gradual market penetration – and a 2025 market size of $500 million (a plausible figure considering the nascent stage of this technology), the market could reach approximately $1.8 billion by 2029. Key drivers include stringent emission regulations in several regions, rising fuel costs, and the growing awareness of environmental sustainability among farmers. Furthermore, advancements in battery technology, leading to longer operational times and faster swap capabilities, will accelerate market adoption. The initial market penetration will likely be higher in developed nations with robust infrastructure and supportive government policies, with subsequent expansion into emerging economies. However, challenges remain, including the initial high investment cost of battery swap stations and the need for a reliable network of charging/swapping facilities to ensure uninterrupted operations. Segment-wise, high-capacity tractors for large-scale farming are expected to dominate initially, with subsequent diversification into smaller, specialized models. The geographic distribution of this market will likely mirror the global agricultural landscape, with North America, Europe, and Asia Pacific showing the most significant growth. The United States, China, and India will be key contributors due to their large agricultural sectors and increasing focus on sustainable farming practices. The establishment of partnerships between tractor manufacturers, battery technology providers, and infrastructure developers will play a crucial role in shaping the market landscape. While the high initial investment costs present a restraint, the long-term operational cost savings and environmental benefits are expected to overcome this hurdle, ensuring the sustained growth of the battery swap tractor market through 2029 and beyond. Further research focusing on specific regional regulatory frameworks and farmer adoption rates will refine these projections.
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The global market size for battery swap tractors was valued at approximately $1.2 billion in 2023 and is projected to reach around $6.8 billion by 2032, growing at an impressive CAGR of 20.7% during the forecast period. This rapid growth can be attributed to the increasing need for sustainable agricultural and construction practices, coupled with advancements in battery technology and government incentives promoting green energy solutions.
One of the primary growth factors for the battery swap tractor market is the rising environmental concerns and stringent government regulations aiming to reduce carbon emissions. Traditional diesel tractors contribute significantly to air pollution, and there is a growing push to transition towards cleaner alternatives. Battery swap systems present an efficient solution by minimizing downtime, thereby making electric tractors more practical for continuous, heavy-duty operations in agriculture and construction. The adoption of these tractors is expected to reduce operational costs and improve productivity, further driving market growth.
Another critical factor propelling this market is technological advancements in battery and charging technologies. Innovations such as fast-charging batteries, improved energy density, and enhanced battery life have made electric tractors more viable for extensive use. Battery swapping technology addresses issues related to long charging times by allowing quick replacement of depleted batteries, thus ensuring uninterrupted operations. This advancement not only enhances the feasibility of electric tractors but also broadens their application across various sectors, including agriculture, construction, and mining.
The increasing focus on automation and smart farming solutions is also contributing to the growth of the battery swap tractor market. Modern agricultural practices are increasingly integrating precision farming technologies that rely on electric and automated machinery. Battery swap tractors, equipped with advanced sensors and GPS systems, offer better efficiency, reduced maintenance, and higher productivity compared to traditional tractors. This shift towards smart farming technologies is likely to boost the demand for battery swap tractors, particularly among large-scale farms and agricultural cooperatives.
Regionally, the Asia Pacific is expected to dominate the battery swap tractor market during the forecast period, driven by rapid industrialization, extensive agricultural activities, and supportive government policies promoting electric vehicles. Countries like China and India, with their large agricultural sectors and growing construction industries, are likely to be significant contributors to market growth. North America and Europe are also expected to see considerable adoption of battery swap tractors, supported by technological advancements and increasing environmental awareness.
In the battery swap tractor market, the battery type is a critical segment, with lithium-ion, lead-acid, and other battery types being the primary categories. Lithium-ion batteries are expected to dominate this segment due to their superior energy density, longer lifespan, and faster charging capabilities. These characteristics make lithium-ion batteries highly suitable for heavy-duty applications in agriculture and construction, where prolonged use and quick turnaround times are essential. The declining costs of lithium-ion batteries, owing to advancements in manufacturing processes and economies of scale, further bolster their adoption in the battery swap tractor market.
Lead-acid batteries, while being a more traditional choice, still hold a significant share of the market due to their lower initial costs and proven reliability. They are particularly prevalent in regions with less stringent environmental regulations or where cost constraints are a primary concern. However, lead-acid batteries are gradually being phased out in favor of more efficient and environmentally friendly alternatives like lithium-ion batteries. The environmental concerns associated with lead-acid batteries, including their disposal and potential for leakage, are pushing the market towards adopting cleaner battery technologies.
Other battery types, including nickel-metal hydride and solid-state batteries, are also gaining attention in the market. While currently representing a smaller share, these batteries offer unique advantages such as higher safety, better performance at extreme temperatures, and potentially longer lifespans.
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The foreign exchange (Forex) market is a global decentralized market for the trading of currencies. It is the largest financial market in the world, with an average daily trading volume of over $5 trillion. The market size is expected to reach $84 million by 2033, growing at a CAGR of 5.83% during the forecast period 2025-2033. Key drivers of the Forex market growth include increasing international trade, rising foreign direct investment, and growing demand for hedging and speculation. The market is also being driven by the increasing use of online trading platforms and the growing popularity of cryptocurrencies. The major players in the Forex market include Deutsche Bank, UBS, JP Morgan, State Street, XTX Markets, Jump Trading, Citi, Bank of New York Mellon, Bank America, and Goldman Sachs. The market is segmented by type (spot Forex, currency swap, outright forward, Forex swaps, Forex options, other types), counterparty (reporting dealers, other financial institutions, non-financial customers), and region (North America, South America, Europe, Middle East & Africa, Asia Pacific). Recent developments include: In November 2023, JP Morgan revealed the introduction of novel FX Warrants denominated in Hong Kong dollars in the Hong Kong market, marking its status as the inaugural issuer in Asia to present FX Warrants featuring CNH/HKD (Chinese Renminbi traded outside Mainland China/Hong Kong dollar) and JPY/HKD (Japanese Yen/Hong Kong dollar) as underlying currency pairs. These fresh FX Warrants are set to commence trading on the Hong Kong Stock Exchange., In October 2023, Deutsche Bank AG finalized its purchase of Numis Corporation Plc. The integration of both brands under the name 'Deutsche Numis' underscores their collective influence and standing in the UK and global markets. 'Deutsche Numis' emerges as a prominent entity in UK investment banking and the preferred advisor for UK-listed companies. This acquisition aligns with Deutsche Bank's Global Hausbank strategy, aiming to become the primary partner for clients in financial services and fostering stronger relationships with corporations throughout the United Kingdom., In June 2023, UBS successfully finalized the acquisition of Credit Suisse, marking a significant achievement. Credit Suisse Group AG has merged into UBS Group AG, forming a unified banking entity.. Key drivers for this market are: International Transactions Driven by Growing Tourism Driving Market Demand, Market Liquidity Impacting the Foreign Exchange Market. Potential restraints include: International Transactions Driven by Growing Tourism Driving Market Demand, Market Liquidity Impacting the Foreign Exchange Market. Notable trends are: FX Swaps is leading the market.
description: The Disaggregated Futures and Options Commitments of Traders dataset provides a breakdown of each week's open interest for agriculture, energy, metals, lumber, and emissions futures markets in which 20 or more traders hold positions equal to or above the reporting levels established by the CFTC. Open interest is reported separately by reportable and non-reportable positions for Producer/Merchant/Processor/User, Swap Dealers, Managed Money. and Other Reportables holdings, including spreading, changes from the previous report, percents of open interest by category, and numbers of traders. Agriculture futures market data is also grouped by crop year, where appropriate, and shows the concentration of positions held by the largest four and eight traders.; abstract: The Disaggregated Futures and Options Commitments of Traders dataset provides a breakdown of each week's open interest for agriculture, energy, metals, lumber, and emissions futures markets in which 20 or more traders hold positions equal to or above the reporting levels established by the CFTC. Open interest is reported separately by reportable and non-reportable positions for Producer/Merchant/Processor/User, Swap Dealers, Managed Money. and Other Reportables holdings, including spreading, changes from the previous report, percents of open interest by category, and numbers of traders. Agriculture futures market data is also grouped by crop year, where appropriate, and shows the concentration of positions held by the largest four and eight traders.
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Antigua and Barbuda AG: IIP: Assets: Official Reserve Assets: Monetary Gold: ow Monetary Gold Under Swap for Cash Collateral data was reported at 0.000 USD mn in 2017. This stayed constant from the previous number of 0.000 USD mn for 2016. Antigua and Barbuda AG: IIP: Assets: Official Reserve Assets: Monetary Gold: ow Monetary Gold Under Swap for Cash Collateral data is updated yearly, averaging 0.000 USD mn from Dec 2013 (Median) to 2017, with 5 observations. Antigua and Barbuda AG: IIP: Assets: Official Reserve Assets: Monetary Gold: ow Monetary Gold Under Swap for Cash Collateral data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Antigua and Barbuda – Table AG.IMF.BOP: BPM6: International Investment Position: Annual.
description: Shows index traders in selected agricultural markets. These traders are drawn from the noncommercial and commercial categories. The noncommercial category includes positions of managed funds, pension funds, and other investors that are generally seeking exposure to a broad index of commodity prices as an asset class in an unleveraged and passively-managed manner. The commercial category includes positions for entities whose trading predominantly reflects hedging of over-the-counter transactions involving commodity indices, for example, a swap dealer holding long futures positions to hedge a short commodity index exposure opposite institutional traders, such as pension funds.; abstract: Shows index traders in selected agricultural markets. These traders are drawn from the noncommercial and commercial categories. The noncommercial category includes positions of managed funds, pension funds, and other investors that are generally seeking exposure to a broad index of commodity prices as an asset class in an unleveraged and passively-managed manner. The commercial category includes positions for entities whose trading predominantly reflects hedging of over-the-counter transactions involving commodity indices, for example, a swap dealer holding long futures positions to hedge a short commodity index exposure opposite institutional traders, such as pension funds.
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 25.99(USD Billion) |
MARKET SIZE 2024 | 27.22(USD Billion) |
MARKET SIZE 2032 | 39.4(USD Billion) |
SEGMENTS COVERED | Type ,Contract Type ,Underlying Asset ,Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | Growing demand for sustainable solutions Increasing adoption of flatbed derivatives for thin film solar applications Technological advancements in flatbed derivatives manufacturing Government incentives for renewable energy adoption Rising global population and urbanization |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Eurex Metals Derivatives AG ,CME Group ,Eurex Interest Rate Derivatives AG ,Paris Derivatives Exchange (MATIF) ,Eurex Repo AG ,Eurex Clearing AG ,Eurex Frankfurt AG ,Eurex ,Brazilian Mercantile & Futures Exchange (BM&F) ,Nasdaq ,Singapore Exchange (SGX) ,Eurex Bonds AG ,Chicago Mercantile Exchange (CME) ,Eurex Energy Derivatives AG ,Intercontinental Exchange (ICE) ,Eurex Agricultural Derivatives AG ,CBOE Global Markets |
MARKET FORECAST PERIOD | 2025 - 2032 |
KEY MARKET OPPORTUNITIES | Growing demand in construction infrastructure development and transportation Increasing use in logistics and supply chain management Technological advancements and innovations |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 4.73% (2025 - 2032) |
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The global foreign exchange market was valued at USD 0.93 Trillion in 2024 and is expected to reach USD 1.16 Trillion by 2030 with a CAGR of 3.8% during the forecast period.
Pages | 180 |
Market Size | 2024: USD 0.93 Trillion |
Forecast Market Size | 2030: USD 1.16 Trillion |
CAGR | 2025-2030: 3.8% |
Fastest Growing Segment | Currency Swap |
Largest Market | North America |
Key Players | 1 Deutsche Bank AG 2 UBS Group AG 3 JPMorgan Chase & Co. 4 State Street Corporation 5 XTX Markets Limited 6 Jump Trading LLC 7 Citigroup Inc. 8 The Bank of New York Mellon Corporation 9 Bank of America Corporation 10 The Goldman Sachs Group, Inc. |
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Indexing number of Versions |
Description |
w/ Zenodo DOI? |
Is it citable? |
Version 1.0, 2.0, 3.0, and so on... |
Major Data Release/Major Update |
Yes |
Yes* |
Version 1.1, 1.2, 1.3, and so on... |
Incremental Update/Patch |
Yes |
Yes* |
Version x.x.1, x.x.2, x.x.3, and so on... |
Announcement |
Yes |
No |
*Note: You can just cite all the versions for your ease. See the Additional Description. |
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安提瓜和巴布达 AG: IIP: Assets: Official Reserve Assets: Monetary Gold: ow Monetary Gold Under Swap for Cash Collateral在2017达0.000 美元 百万,相较于2016的0.000 美元 百万保持不变。安提瓜和巴布达 AG: IIP: Assets: Official Reserve Assets: Monetary Gold: ow Monetary Gold Under Swap for Cash Collateral数据按每年更新,2013至2017期间平均值为0.000 美元 百万,共5份观测结果。CEIC提供的安提瓜和巴布达 AG: IIP: Assets: Official Reserve Assets: Monetary Gold: ow Monetary Gold Under Swap for Cash Collateral数据处于定期更新的状态,数据来源于International Monetary Fund,数据归类于Global Database的安提瓜和巴布达 – Table AG.IMF.BOP: BPM6: International Investment Position: Annual。
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 2.36(USD Billion) |
MARKET SIZE 2024 | 2.68(USD Billion) |
MARKET SIZE 2032 | 7.6(USD Billion) |
SEGMENTS COVERED | Tractor Power Range, Type of Application, Battery Capacity, Charging Systems, Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | Rising demand for sustainable farming Government incentives Technological advancements Growing environmental concerns Increasing adoption of automation and digital technologies |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Foton Lovol Heavy Industry Co., Ltd., Mahindra & Mahindra, CLAAS, Doosan Bobcat, Changlin, JCB, Abellon CleanEnergy, Agco Corporation, YTO Group Corporation, CNH Industrial, Tractors and Farm Equipment Limited, Lovol Heavy Industry, SAME DeutzFahr, Kubota Corporation, Deere & Company |
MARKET FORECAST PERIOD | 2025 - 2032 |
KEY MARKET OPPORTUNITIES | Government incentives Rising fuel costs Technological advancements Growing demand for sustainable agriculture Expanding electrification of agricultural machinery |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 13.9% (2025 - 2032) |
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The most traditional way to examine land use change is to use a cross-tabulation matrix to identify the most important categorical land use transition from time 1 to time 2. However, such method does not necessarily capture or indicate the real changes on the landscape. For example, assuming that from 1986 to 2015, Utah’s total agricultural land loss (aka, net change) is 200 square miles, but this does not mean that only 200 square miles of agricultural land have experienced land use change in the last 30 years. It is highly possible that a given quantity of agricultural land loss at one location can be accompanied by another quantity of agricultural land gain at another location (aka, swapping). Thus, by purely using net change, we might fail to capture the swapping component of change, and fail to capture the intricate transitions of landscape. This dataset analyzed important categorical land use change while account for persistence and swaps. It provides additional information concerning what happened on the landscape.
This dataset includes a statistical table and a GIS raster file. The table summarizes the persistence and swaps, as well as gross gain and gross loss in the Wasatch Range Metropolitan Area (WRMA). The GIS file is the compiled spatial layer that represents the gain, loss, persistence, and swaps on the landscape. We used Water Related Land Use data of Year 1986 to Year 2015 for this analysis. Land use categories used in this dataset include urban (URB), irrigated agricultural land (IR), and non-irrigated agricultural land (NI), sub-irrigated agricultural land (SubIR), riparian (RIP), water, (WATER), and other (OTHER). We then examined the categorical land use changes with a transition matrix.
A categorical land use gain is determined as the conversion from other sources to this particular categorical land use, and a categorical land use loss is defined as conversion from this particular categorical land use to other uses. For example, the gain of irrigated agricultural (IR) land use will be the sum of areas of urban to IR, non-irrigated agricultural land to IR, sub-irrigated agricultural land to IR, riparian to IR, water to IR, and other to IR. The total change is calculated as the sum of gain and loss. The net change equals to |Gain|-|Loss|. The Swap =2* MIN(Gain,Loss).