In the fiscal year of 2021, 7,622 children adopted with public agency involvement in the United States were two years old at the time of adoption. In that same fiscal year, about 6,015 children adopted in the country were one year old at the time of their adoption.

Among recent major technologies in the United States, generative artificial intelligence (AI) had a much steeper leap in users in year * from year * than the other major technologies. Nearly ** times the amount of people had used generative AI within a year of its making, compared to * times the amount of tablet users and barely * times the amount of smartphone users. This leap has not remained steady, however, and tablets had more users in year * since its release than is expected of generative AI. U.S. citizens are skeptical Adults in the United States were somewhat concerned with the development and growth of generative AI in 2023. While most were somewhat concerned another third was mostly concerned, and relatively few individuals were excited. This is understandable with the rapid growth of new technology, as change and unknown factors always cause concern among the wider population. Investment in tech going strong In the U.S. investment in new technologies and generative AI were among the highest in enterprises. These topped investments in hiring, cost-cutting, and outsourcing. This high rate of investment in new technologies and AI is likely driven by the whole-of-enterprise effect that these trends might have on companies.

The adoption and child welfare industry has experienced overall growth even during the pandemic years, as increased stress-related service needs boosted demand and federal funding boosted revenues. While some service providers relied on private donations, corporate profit was strong in 2021. Technology adoption enabled remote delivery of services and expanded market reach, which helped reduce costs and enhance efficiency. Online matching platforms, VR training systems and case management software are examples of how technology has reduced costs and differentiated services to incentivize niche entry into underserved markets. And because of the strong growth in the number of establishments meeting demand and ample funding support during the pandemic, industry-wide revenue is expected to climb at a CAGR of 4.3% to $30.5 billion through 2025, with revenue growth inching up an estimated 1.7% in 2025 alone. The diversity of services offered and the unique characteristics of funding lead to disparate growth in services. Revenue for many establishments depends on the combination of government funding and private donations, which change with economic and government policy fluctuations, while demographic and social stressors impact the need for services. The disconnect between payors and clients creates an imbalance of funding and demand, adding to revenue volatility. Regional factors impact the provision of services and shortfalls. While demand in some states is growing because of increasing population, the long lead time to entry has led to a shortfall in provision.

Reorganizing key agencies under the new Administration for a Healthy America will bring some volatility to the industry. Government funding, crucial to more than half of industry revenue, faces volatility as restructuring could disrupt services, staffing and program effectiveness. This realignment offers potential efficiency gains through improved collaboration, but details about governance and resources remain in flux. Because of the uncertain impact of federal changes, private funding and state initiatives are vital for near-term future revenue growth. For-profit providers can leverage technology to reduce costs and capitalize on economies of scale, entering markets where nonprofits dominate. Telehealth innovations and online platforms lead to a broader reach and service efficiency, intensifying competition. As demand increases in rapidly growing states, nonprofit providers should streamline operations and secure diverse funding sources to meet community needs effectively. But despite numerous policy, technology and demographic shifts, industry revenue is forecast to climb at a slower CAGR of 1.2% through 2030 to total $32.5 billion with profit holding steady at a slim 3.1%.

Cover crops have critical significance for agroecosystem sustainability and have long been promoted in the U.S. Midwest. Knowledge of the variations of cover cropping and the impacts of government policies remains very limited. We developed an accurate and cost-effective approach utilizing multi-source satellite fusion data, environmental variables, and machine learning to quantify cover cropping in corn and soybean fields from 2000 to 2021 in the U.S. Midwest. We found that cover crop adoption in most counties has significantly increased in the recent 11 years from 2011 to 2021. The adoption percentage of 2021 is 3.3 times that of 2011, which was highly correlated to the increased funding for federal and state conservation programs. However, the percentage of cover crop adoption is still low (7.2%).  The averaged county-level cover crop adoption rates in 2000-2010 and 2011-2021 are publicly available on Dryad.

The statistic shows the percentage of U.S. households that have a computer from 1984 to 2016. In 2016, 89.3 percent of all households in the United States had a computer at home.

In 2020, hotel executives in the United States were surveyed on their adoption rates of contactless hotel technologies. The majority of respondents, 44 percent, stated that they were considering new digital messaging services to handle guest requests in the future.

According to a survey conducted in 2021, ** percent of White Americans had a favorable opinion of private infant adoption in the United States. In comparison, ** percent of Hispanic Americans and ** percent of Black Americans shared this belief.

This dataset is imported from the US Department of Commerce, National Telecommunications and Information Administration (NTIA) and its "Data Explorer" site. The underlying data comes from the US Census

1. dataset: Specifies the month and year of the survey as a string, in "Mon YYYY" format. The CPS is a monthly survey, and NTIA periodically sponsors Supplements to that survey.

2. variable: Contains the standardized name of the variable being measured. NTIA identified the availability of similar data across Supplements, and assigned variable names to ease time-series comparisons.

3. description: Provides a concise description of the variable.

4. universe: Specifies the variable representing the universe of persons or households included in the variable's statistics. The specified variable is always included in the file. The only variables lacking universes are isPerson and isHouseholder, as they are themselves the broadest universes measured in the CPS.

5. A large number of *Prop, *PropSE, *Count, and *CountSE columns comprise the remainder of the columns. For each demographic being measured (see below), four statistics are produced, including the estimated proportion of the group for which the variable is true (*Prop), the standard error of that proportion (*PropSE), the estimated number of persons or households in that group for which the variable is true (*Count), and the standard error of that count (*CountSE).

DEMOGRAPHIC CATEGORIES

1. us: The usProp, usPropSE, usCount, and usCountSE columns contain statistics about all persons and households in the universe (which represents the population of the fifty states and the District and Columbia). For example, to see how the prevelance of Internet use by Americans has changed over time, look at the usProp column for each survey's internetUser variable.

2. age: The age category is divided into five ranges: ages 3-14, 15-24, 25-44, 45-64, and 65+. The CPS only includes data on Americans ages 3 and older. Also note that household reference persons must be at least 15 years old, so the age314* columns are blank for household-based variables. Those columns are also blank for person-based variables where the universe is "isAdult" (or a sub-universe of "isAdult"), as the CPS defines adults as persons ages 15 or older. Finally, note that some variables where children are technically in the univese will show zero values for the age314* columns. This occurs in cases where a variable simply cannot be true of a child (e.g. the workInternetUser variable, as the CPS presumes children under 15 are not eligible to work), but the topic of interest is relevant to children (e.g. locations of Internet use).

3. work: Employment status is divided into "Employed," "Unemployed," and "NILF" (Not in the Labor Force). These three categories reflect the official BLS definitions used in official labor force statistics. Note that employment status is only recorded in the CPS for individuals ages 15 and older. As a result, children are excluded from the universe when calculating statistics by work status, even if they are otherwise considered part of the universe for the variable of interest.

4. income: The income category represents annual family income, rather than just an individual person's income. It is divided into five ranges: below $25K, $25K-49,999, $50K-74,999, $75K-99,999, and $100K or more. Statistics by income group are only available in this file for Supplements beginning in 2010; prior to 2010, family income range is available in public use datasets, but is not directly comparable to newer datasets due to the 2010 introduction of the practice of allocating "don't know," "refused," and other responses that result in missing data. Prior to 2010, family income is unkown for approximately 20 percent of persons, while in 2010 the Census Bureau began imputing likely income ranges to replace missing data.

5. education: Educational attainment is divided into "No Diploma," "High School Grad,

Technological innovation market diffusion data.Principal dataset sources.----The Cross-country Historical Adoption of Technology (CHAT) Dataset. No. w15319. National Bureau of Economic Research, 2009. [67]Discovered via Horace Dediu, Clayton Christensen Institute. [68]Note: Only U.S. data was extracted and used.----Comin, D.A., & Hobijn, B. (2004). Cross-country technology adoption: making the theories face the facts. Journal of Monetary Economics 51.1 (2004): 39-83. [69]Discovered via Ritchie, H., & Roser, M. (2017). Technology Diffusion & Adoption. [70]Note: Only U.S. data was extracted and used.----Cox, W. M., & Alm, R. (1997). Time Well Spent: The Declining Real Cost of Living in America. Annual Report Federal Reserve Bank of Dallas, pages 2-24 [71]Derived and built from American Association of Home Appliance Manufacturers; Cellular Telephone Industry Association; Electrical Merchandising, various issues; Information Please Almanac; Public Roads Administration; Television Bureau of Advertising; U.S. Bureau of the Census (Census of Housing; Current Population Reports; Historical Statistics of the United States, Colonial Times to 1970; Statistical Abstract of the United States); U.S. Department of Energy; U.S. Department of Transportation.

In 1987, the National Health Interview Survey (NHIS) questionnaire included a special section that queried female respondents aged 20 through 54 about adoption. Their responses to the supplement are recorded in this dataset, along with other information about them derived from the core 1987 questionnaire. The special section on adoption asked if any children had ever been adopted, the number that were adopted, and whether these children currently lived in the household. Additional questions in the supplement inquired about the two most recent adoptions: how the adoptions were arranged, the adoptive mother's relationship to the adopted children before adoption, when and how old the adopted children were when they began living with the adoptive mother, the date of birth of the adopted children, and whether the adopted children were born in the United States. Variables from the core questionnaire include height, weight, age, race, Hispanic origin, type of living quarters, region and metropolitan status of residence, marital status, veteran status, education, family income, health status, industry, occupation, activity limitation status, medical conditions, restricted activity days in the past two weeks, bed days in the past two weeks and past 12 months, time interval since the last doctor visit, and the number of doctor visits and short-stay hospital episodes in the past two months. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR09342.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

This statistic shows the adoption rate of Windows * and ** in North America, Western Europe and Asia Pacific from 2017 to 2020. According to the source, ** percent computers in these regions were running the newest Windows ** as of 2020.

BackgroundThe emergence of new variants of COVID-19 causing breakthrough infections and the endemic potential of the coronavirus are an indication that digital contact tracing apps (CTAs) may continue to be useful for the long haul. However, the uptake of these apps in many countries around the world has been low due to several factors militating against their adoption and usage.ObjectiveIn this systematic review, we set out to uncover the key factors that facilitate or militate against the adoption of CTAs, which researchers, designers and other stakeholders should focus on in future iterations to increase their adoption and effectiveness in curbing the spread of COVID-19.Data SourcesSeven databases, including PubMed, CINAHL, Scopus, Web of Service, IEEE Xplore, ACM Digital Library, and Google Scholar, were searched between October 30 and January 31, 2020. A total of 777 articles were retrieved from the databases, with 13 of them included in the systematic review after screening.Study Eligibility Criteria, Participants, and InterventionThe criteria for including articles in the systematic review were that they could be user studies from any country around the world, must be peer-reviewed, written in English, and focused on the perception and adoption of COVID-19 contact tracing and/or exposure notification apps. Other criteria included user study design could be quantitative, qualitative, or mixed, and must have been conducted during the COVID-19 pandemic, which began in the early part of 2020.Study Appraisal and Synthesis MethodsThree researchers searched seven databases (three by the first author, and two each by the second and third authors) and stored the retrieved articles in a collaborative Mendeley reference management system online. After the removal of duplicates, each researcher independently screened one third of the articles based on title/abstract. Thereafter, all three researchers collectively screened articles that were in the borderline prior to undergoing a full-text review. Then, each of the three researchers conducted a full-text review of one-third of the eligible articles to decide the final articles to be included in the systematic review. Next, all three researchers went through the full text of each borderline article to determine their appropriateness and relevance. Finally, each researcher extracted the required data from one-third of the included articles into a collaborative Google spreadsheet and the first author utilized the data to write the review.ResultsThis review identified 13 relevant articles, which found 56 factors that may positively or negatively impact the adoption of CTAs. The identified factors were thematically grouped into ten categories: privacy and trust, app utility, facilitating conditions, social-cognitive factors, ethical concerns, perceived technology threats, perceived health threats, technology familiarity, persuasive design, and socio-demographic factors. Of the 56 factors, privacy concern turned out to be the most frequent factor of CTA adoption (12/13), followed by perceived benefit (7/13), perceived trust (6/13), and perceived data security risk (6/13). In the structural equation models presented by the authors of the included articles, a subset of the 56 elicited factors (e.g., perceived benefit and privacy concern) explains 16 to 77% of the variance of users' intention to download, install, or use CTAs to curb the spread of COVID-19. Potential adoption rates of CTA range from 19% (in Australia) to 75% (in France, Italy, Germany, United Kingdom, and United States). Moreover, actual adoption rates range from 37% (in Australia) to 50% (in Germany). Finally, most of the studies were carried out in Europe (66.7%), followed by North America (13.3%), and Australia, Asia, and South America (6.7% each).ConclusionThe results suggest that future CTA iterations should give priority to privacy protection through minimal data collection and transparency, improving contact tracing benefits (personal and social), and fostering trust through laudable gestures such as delegating contact tracing to public health authorities, making source code publicly available and stating who will access user data, when, how, and what it will be used for. Moreover, the results suggest that data security and tailored persuasive design, involving reward, self-monitoring, and social-location monitoring features, have the potential of improving CTA adoption. Hence, in addition to addressing issues relating to utility, privacy, trust, and data security, we recommend the integration of persuasive features into future designs of CTAs to improve their motivational appeal, adoption, and the user experience.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021259080 PROSPERO, identifier CRD42021259080.

Animal shelters have faced significant financial strain in recent years resulting from pandemic-induced economic downturns and rising interest rates. The shelters, primarily operating as nonprofits, have seen a drop in donations as corporate profits dwindled and businesses cut back on spending. The financial pressures were compounded as government funding, though essential, remained competitive and often insufficient to meet rising operational costs. Despite these challenges, shelters did see a pandemic boom, where adoptions were up, albeit with tightened budgets and reduced resources. Aided by government stimulus, industry revenue is expected to push up at a CAGR of 2.8% to reach $3.5 billion through 2024, with stagnant growth in 2024 and profit at 2.4%. Community engagement and the adoption of no-kill policies are bright spots. Many shelters have actively strengthened their relationships with local communities, resulting in higher volunteer participation and increased donations. This community support has been vital, helping shelters to offset some operational costs. Also, the growing societal push for humane animal treatment has seen a marked preference for no-kill policies. Shelters are enhancing adoption methods and investing in medical care to sustain their no-kill status. They're collaborating with rescue organizations and launching rehabilitation initiatives. Technological advancements are poised to benefit shelter operations, from data analytics that improve policy-making and care management to online platforms that facilitate adoption processes. Economic conditions, however, remain a critical factor. Urban areas, particularly high-cost metropolitan regions with higher disposable incomes, will see more robust adoption rates and pet spending. Despite the growth potential, shelters must strategically leverage volunteers and secure donations to sustain operations. With these efforts in place to meet future challenges and ensure stable operations, industry revenue is expected to strengthen at a CAGR of 2.4% through 2030 to reach $4.0 billion.

According to a survey conducted in 2021, ** percent of Americans said that they would not consider adopting a teenager in the United States because it would be harder for them to integrate with the family. A further ** percent said that they would not consider adopting a teenager because they are already set in their ways.

Introduction

Robotic Process Automation Statistics: RPA is a transformative technology that leverages robot software to automate rule-based tasks within digital systems. It operates by identifying repetitive tasks and developing software bots to execute them.

Seamlessly integrating these bots with existing software applications. RPA offers numerous benefits, including cost efficiency, accuracy, scalability, and enhanced productivity.

Its adoption is on the rise across industries, with the global RPA market poised for significant growth. This technology has the potential to revolutionize business operations.

By reducing costs, improving efficiency, and allowing human employees to focus on more strategic activities. Ultimately enhancing overall productivity and competitiveness.

The North American cloud computing market, valued at $248.07 million in 2025, is experiencing robust growth, projected to expand significantly over the forecast period (2025-2033). A Compound Annual Growth Rate (CAGR) of 15.23% indicates a substantial increase in market size driven by several factors. The increasing adoption of cloud services by both Small and Medium-sized Enterprises (SMEs) and large enterprises across diverse sectors like manufacturing, healthcare, BFSI (Banking, Financial Services, and Insurance), and government is a primary catalyst. Furthermore, the shift towards digital transformation initiatives, the need for enhanced scalability and flexibility, and the cost-effectiveness of cloud solutions are fueling market expansion. Competitive pressures among major players like Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and Salesforce are leading to continuous innovation and improved service offerings, further stimulating market growth. The hybrid cloud model, combining public and private cloud infrastructure, is gaining traction due to its ability to address specific security and compliance needs, contributing to the market's dynamism. While data on specific regional breakdowns within North America (United States and Canada) is limited, it's reasonable to assume a significant concentration of market share in the United States, given its advanced technological infrastructure and high adoption rates. The market's growth trajectory is likely to remain strong, driven by ongoing technological advancements and the increasing reliance on cloud-based solutions across various industries. The North American cloud computing market segmentation reveals significant opportunities across various sectors. The public cloud (IaaS, PaaS, SaaS) segment is expected to dominate, reflecting the widespread adoption of cloud-based applications and services. However, the private and hybrid cloud segments are also experiencing growth, driven by security and regulatory compliance requirements. The large enterprise segment contributes a substantial portion of the market revenue, but the SME segment is also showing significant growth potential, indicating a broad-based adoption of cloud technologies. Geographical analysis, while limited by available data, points towards a strong market presence in the United States, given its established technology sector and high adoption rates. However, Canada's growing digital economy suggests increasing cloud adoption within its borders as well. Continued investment in infrastructure, coupled with evolving industry regulations and robust technological innovation, will continue to shape the North American cloud computing market landscape in the coming years. Recent developments include: June 2024: Apple unveiled its cloud intelligence system, Private Cloud Compute (PCC), tailored for cloud-based artificial intelligence (AI) tasks, prioritizing privacy preservation. PCC aims to transfer complex, power-intensive requests to the cloud while guaranteeing that data remains confidential and is never exposed to any third party, including Apple., May 2024: VPS AI unveiled its decentralized cloud computing solutions. The launch of VPS AI marks a significant shift in the cloud computing landscape. VPS AI provides a decentralized solution for establishing virtual private servers and containerized nodes, enabling individuals and enterprises to liberate themselves from the dominance of major tech corporations.. Key drivers for this market are: Robust Shift Towards Digital Transformation Across North America, Advancement of AI and Big Data Analytics. Potential restraints include: Robust Shift Towards Digital Transformation Across North America, Advancement of AI and Big Data Analytics. Notable trends are: Robust Shift Towards Digital Transformation Across North America.

The global market for Medical Information Interactive Platforms (MIIPs) is experiencing robust growth, driven by the increasing adoption of electronic health records (EHRs), the rising demand for improved patient care coordination, and the growing need for efficient data management within healthcare institutions. The market, estimated at $15 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $45 billion by 2033. This expansion is fueled by several key factors, including the widespread implementation of cloud-based solutions offering enhanced scalability and accessibility, the increasing integration of MIIPs with other healthcare IT systems (e.g., telehealth platforms, diagnostic imaging systems), and the growing focus on data analytics for improved clinical decision-making. Significant market segments include medical institutions and laboratories, with cloud-based deployment showing the fastest adoption rate. Competition is intense among established players like Epic Systems, Cerner, and McKesson, as well as emerging technology companies. However, challenges remain, including the high initial investment costs associated with implementing MIIPs, concerns about data security and privacy, and the need for ongoing training and support for healthcare professionals. The regional landscape reveals North America as the dominant market, reflecting the advanced healthcare infrastructure and high technology adoption rates in the US and Canada. However, significant growth opportunities exist in Asia-Pacific, particularly in China and India, driven by increasing healthcare spending and government initiatives to improve healthcare infrastructure and digital health adoption. Europe also presents a substantial market, with various countries investing in digital health transformation and modernization of healthcare systems. The market segmentation by application (medical institutions vs. laboratories) and deployment type (cloud vs. on-premise) will continue to evolve, with cloud-based MIIPs likely to capture a larger market share due to their cost-effectiveness and scalability advantages. Continued innovation in areas such as artificial intelligence (AI) integration and the development of user-friendly interfaces will further shape the market's trajectory.

Government Cloud Computing Market Outlook

The global government cloud computing market size was valued at approximately USD 20 billion in 2023 and is projected to reach around USD 70 billion by 2032, growing at a CAGR of 15% during the forecast period. This impressive growth is fueled by the increasing adoption of cloud services by government entities seeking to modernize their IT infrastructure, enhance operational efficiency, and ensure data security and compliance.

One of the primary growth factors in the government cloud computing market is the need for enhanced data security and compliance. Government organizations handle sensitive information, and the cloud offers robust security measures, encryption, and compliance with regulations such as GDPR and HIPAA. Additionally, the implementation of cloud computing helps mitigate risks associated with data breaches, thereby enhancing the overall security posture of government agencies.

Another significant driver of the market is the need for cost efficiency and scalability. Traditional on-premises IT infrastructure often involves high capital expenditure for hardware and software, along with ongoing maintenance costs. Cloud computing enables government entities to reduce these costs by shifting to a pay-as-you-go model, where they only pay for the resources they use. Moreover, the scalability offered by cloud services allows governments to quickly adapt to changing demands without the need for significant infrastructure investments.

The push towards digital transformation is also a critical factor in the market's growth. Governments worldwide are embracing digital technologies to improve public services, enhance citizen engagement, and streamline administrative processes. Cloud computing plays a pivotal role in this transformation by providing the necessary infrastructure to support digital initiatives, such as e-government services, big data analytics, and artificial intelligence applications. The agility and flexibility offered by cloud solutions enable governments to innovate rapidly and meet the evolving needs of their citizens.

Regionally, North America currently dominates the government cloud computing market, driven by high adoption rates in the United States and Canada. The presence of major cloud service providers and a robust regulatory framework that promotes cloud adoption contribute to this dominance. Europe is also a significant market, with countries such as the UK, Germany, and France investing heavily in cloud technologies to support their e-government initiatives. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, fueled by increasing investments in digital infrastructure by countries like China, India, and Japan.

Service Model Analysis

In the government cloud computing market, the service model segment includes Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS is a popular choice among government agencies due to its ability to provide scalable and flexible infrastructure resources. Governments can leverage IaaS to host applications, store data, and run virtual machines without the need for physical hardware, thereby reducing capital expenditure and operational costs. Additionally, IaaS providers offer robust security measures, ensuring that government data remains protected.

PaaS, on the other hand, offers a platform for developers to build, test, and deploy applications without worrying about the underlying infrastructure. This service model is particularly beneficial for government agencies looking to develop custom applications tailored to their specific needs. PaaS enhances the agility and speed of application development, enabling governments to implement new services and features quickly. Furthermore, the use of PaaS can lead to significant cost savings by eliminating the need for hardware and software procurement and maintenance.

SaaS is widely adopted by government entities for its ease of use and cost-effectiveness. SaaS solutions are delivered over the internet and accessed via a web browser, eliminating the need for complex installations and maintenance. Government agencies use SaaS applications for various purposes, including email, collaboration, customer relationship management (CRM), and enterprise resource planning (ERP). The subscription-based pricing model of SaaS allows governments to manage their budgets more effectively, as they can scale the number of licenses up or down based on their requirements.

This geospatial dataset represents climate change mitigation benefits from widespread cover crop adoption on U.S. cropland. We simulated changes in soil organic carbon stocks and nitrous oxide fluxes over a 20-year period for baseline cover crop adoption rates (derived from historical adoption rates) and a high cover crop adoption (80%) scenario in the continental U.S. Data were generated using the DayCent ecosystem model driven by cropping histories in the USDA National Resources Inventory (NRI) and associated agricultural management data. Here we present the mean and standard deviation of annual soil organic carbon stock changes and nitrous oxide fluxes for both baseline and high cover crop adoption scenarios on a county level. Methods We compared a high (80%) cover crop (CC) adoption scenario with the most current CC adoption rates in each region (NASS, 2017) and projected the 20-year soil organic carbon (SOC) stock change and N2O flux for each scenario. The DayCent biogeochemical model was used to simulate the effect of CC on 132,319 survey locations included in the National Resources Inventory (NRI), a program that monitors land use in the United States and cumulatively represent 94.1 Mha of cropland in the country. Either crimson clover (Trifolium incarnatum L.), cereal rye (Secale cereale L.), or radish (Raphanus sativus) CC were simulated depending on regional CC species preferences and compatibility with the crop rotation and management specific to each NRI location. A Monte Carlo approach adapted from Ogle et al. (2010, 2023) was used to quantify uncertainty associated with management input data and error in model parameters. We aggregated average annual SOC stock change and N2O flux for the baseline and high adoption scenarios at the county-level for each Monte Carlo iteration. We present the uncertainty as the standard deviation from 1000 iterations. We also present total cropland area and cropland with newly adopted cover crops at the start of the study for each county. Data are presented in a shapefile format with associated maps for visualization.

The North American access control software market, valued at $244.90 million in 2025, is poised for robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 9.70% from 2025 to 2033. This expansion is driven by several key factors. The increasing adoption of cloud-based solutions offers scalability, cost-effectiveness, and remote management capabilities, attracting both SMEs and large enterprises. Furthermore, heightened security concerns across various sectors – commercial, residential, government, industrial, transportation and logistics, and military & defense – fuel demand for sophisticated access control systems. Stringent regulatory compliance requirements and the rising need for streamlined security management further contribute to market growth. While the on-premise segment currently holds a significant market share, the cloud-based segment is projected to witness faster growth due to its inherent advantages. Large enterprises are the primary adopters of advanced access control solutions, but the SME segment is also showing significant growth potential, driven by affordable and user-friendly cloud-based options. Competition is fierce, with established players like Honeywell, Bosch, Axis Communications, and Johnson Controls vying for market share alongside emerging technology providers. The United States dominates the North American market, followed by Canada and Mexico, reflecting the higher adoption rates in technologically advanced regions. The forecast period (2025-2033) anticipates continued market expansion, fueled by technological advancements such as AI-powered surveillance and biometrics integration. However, challenges remain, including the potential for cybersecurity vulnerabilities and the need for robust data privacy measures. The market’s future trajectory will be shaped by the ongoing evolution of cloud technologies, the increasing sophistication of cyber threats, and the development of more innovative access control solutions that cater to the evolving needs of various industries. The competitive landscape will likely witness further consolidation and strategic partnerships as companies strive to enhance their product offerings and expand their market reach. Geographical expansion, particularly in regions with growing infrastructure development, will also play a significant role in driving future market growth. This report provides a comprehensive analysis of the North America Access Control Software Market, covering the period 2019-2033. It offers invaluable insights for businesses seeking to navigate this dynamic sector, encompassing market size estimations (in millions), key trends, and future growth projections. The study period includes a historical period (2019-2024), a base year (2025), and a forecast period (2025-2033). Recent developments include: February 2024: Hikvision, a leading North American access control solutions provider, introduced its latest line of professional access control products. The flagship offerings in this lineup include the DS-K2700X series access controller, the DS-K1109 series reader, and the DS-K1T805/-K1T502 series, all showcased in the company's recent product launch event. Hikvision highlights that these new products boast enhanced features, focusing on web management, versatile authentication, specialized access applications, and integrated security solutions.November 2023: Verkada, a US-based firm, expanded its offerings with the launch of AC12. This compact, one-door controller is designed for easy deployment. It operates on a single PoE cable and is conveniently sized to be placed directly above or beside an entryway. With the AC12, Verkada is simplifying access control for standalone doors.. Key drivers for this market are: Growing adoption of IoT access Controls, Technological Advancements. Potential restraints include: Growing adoption of IoT access Controls, Technological Advancements. Notable trends are: Commercial to Hold Significant Market Share.