During an August 2023 survey, approximately ** percent of surveyed small or medium business (SMB) owners used artificial intelligence (AI) for data analysis. ** percent of respondents said they would consider using AI in the future, while another ** percent stated they were not planning on using AI for this purpose.

The dataset exists to observe the entrepreneurial activity of Austin over a long time period. The data comes from the U.S. Census County Business Pattern table and is capturing data at the Travis County level. It contains the cumulative count of firms by employee size and count of firms by employee size by industry. This data can be used to see changes of employer growth by industry; to project where workforce growth could be occurring; or to simply see how many small businesses there are in Austin. View more details and insights related to this data set on the story page: data.austintexas.gov/stories/s/ndb5-si22

In 2021, about **** million small business firms with employees were counted in the United States. That same year, there were around ** million non-employer small businesses.

Access B2B Contact Data for North American Small Business Owners with Success.ai—your go-to provider for verified, high-quality business datasets. This dataset is tailored for businesses, agencies, and professionals seeking direct access to decision-makers within the small business ecosystem across North America. With over 170 million professional profiles, it’s an unparalleled resource for powering your marketing, sales, and lead generation efforts.

Key Features of the Dataset:

Verified Contact Details

Includes accurate and up-to-date email addresses and phone numbers to ensure you reach your targets reliably.

AI-validated for 99% accuracy, eliminating errors and reducing wasted efforts.

Detailed Professional Insights

Comprehensive data points include job titles, skills, work experience, and education to enable precise segmentation and targeting.

Enriched with insights into decision-making roles, helping you connect directly with small business owners, CEOs, and other key stakeholders.

Business-Specific Information

Covers essential details such as industry, company size, location, and more, enabling you to tailor your campaigns effectively. Ideal for profiling and understanding the unique needs of small businesses.

Continuously Updated Data

Our dataset is maintained and updated regularly to ensure relevance and accuracy in fast-changing market conditions. New business contacts are added frequently, helping you stay ahead of the competition.

Why Choose Success.ai?

At Success.ai, we understand the critical importance of high-quality data for your business success. Here’s why our dataset stands out:

Tailored for Small Business Engagement Focused specifically on North American small business owners, this dataset is an invaluable resource for building relationships with SMEs (Small and Medium Enterprises). Whether you’re targeting startups, local businesses, or established small enterprises, our dataset has you covered.

Comprehensive Coverage Across North America Spanning the United States, Canada, and Mexico, our dataset ensures wide-reaching access to verified small business contacts in the region.

Categories Tailored to Your Needs Includes highly relevant categories such as Small Business Contact Data, CEO Contact Data, B2B Contact Data, and Email Address Data to match your marketing and sales strategies.

Customizable and Flexible Choose from a wide range of filtering options to create datasets that meet your exact specifications, including filtering by industry, company size, geographic location, and more.

Best Price Guaranteed We pride ourselves on offering the most competitive rates without compromising on quality. When you partner with Success.ai, you receive superior data at the best value.

Seamless Integration Delivered in formats that integrate effortlessly with your CRM, marketing automation, or sales platforms, so you can start acting on the data immediately.

Use Cases: This dataset empowers you to:

Drive Sales Growth: Build and refine your sales pipeline by connecting directly with decision-makers in small businesses. Optimize Marketing Campaigns: Launch highly targeted email and phone outreach campaigns with verified contact data. Expand Your Network: Leverage the dataset to build relationships with small business owners and other key figures within the B2B landscape. Improve Data Accuracy: Enhance your existing databases with verified, enriched contact information, reducing bounce rates and increasing ROI. Industries Served: Whether you're in B2B SaaS, digital marketing, consulting, or any field requiring accurate and targeted contact data, this dataset serves industries of all kinds. It is especially useful for professionals focused on:

Lead Generation Business Development Market Research Sales Outreach Customer Acquisition What’s Included in the Dataset: Each profile provides:

Full Name Verified Email Address Phone Number (where available) Job Title Company Name Industry Company Size Location Skills and Professional Experience Education Background With over 170 million profiles, you can tap into a wealth of opportunities to expand your reach and grow your business.

Why High-Quality Contact Data Matters: Accurate, verified contact data is the foundation of any successful B2B strategy. Reaching small business owners and decision-makers directly ensures your message lands where it matters most, reducing costs and improving the effectiveness of your campaigns. By choosing Success.ai, you ensure that every contact in your pipeline is a genuine opportunity.

Partner with Success.ai for Better Data, Better Results: Success.ai is committed to delivering premium-quality B2B data solutions at scale. With our small business owner dataset, you can unlock the potential of North America's dynamic small business market.

Get Started Today Request a sample or customize your dataset to fit your unique...

The number of small and medium-sized enterprises in the United States was forecast to continuously decrease between 2024 and 2029 by in total 6.7 thousand enterprises (-2.24 percent). After the fourteenth consecutive decreasing year, the number is estimated to reach 291.94 thousand enterprises and therefore a new minimum in 2029. According to the OECD an enterprise is defined as the smallest combination of legal units, which is an organisational unit producing services or goods, that benefits from a degree of autonomy with regards to the allocation of resources and decision making. Shown here are small and medium-sized enterprises, which are defined as companies with 1-249 employees.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

Nonemployer Statistics is an annual series that provides statistics on U.S. businesses with no paid employees or payroll, are subject to federal income taxes, and have receipts of $1,000 or more ($1 or more for the Construction sector). This program is authorized by the United States Code, Titles 13 and 26. Also, the collection provides data for approximately 450 North American Industry Classification System (NAICS) industries at the national, state, county, metropolitan statistical area, and combined statistical area geography levels. The majority of NAICS industries are included with some exceptions as follows: crop and animal production; investment funds, trusts, and other financial vehicles; management of companies and enterprises; and public administration. Data are also presented by Legal Form of Organization (LFO) (U.S. and state only) as filed with the Internal Revenue Service (IRS). Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income. Nonemployers Statistics features nonemployers in several arts-related industries and occupations, including the following: Arts, entertainment, and recreation (NAICS Code 71) Performing arts companies Spectator sports Promoters of performing arts, sports, and similar events Independent artists, writers, and performers Museums, historical sites, and similar institutions Amusement parks and arcades Professional, scientific, and technical services (NAICS Code 54) Architectural services Landscape architectural services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, and musical instrument stores Sewing, needlework, and piece goods stores Book stores Art dealers Nonemployer Statistics data originate from statistical information obtained through business income tax records that the Internal Revenue Service (IRS) provides to the Census Bureau. The data are processed through various automated and analytical review to eliminate employers from the tabulation, correct and complete data items, remove anomalies, and validate geography coding and industry classification. Prior to publication, the noise infusion method is applied to protect individual businesses from disclosure. Noise infusion was first applied to Nonemployer Statistics in 2005. Prior to 2005, data were suppressed using the complementary cell suppression method. For more information on the coverage and methods used in Nonemployer Statistics, refer to NES Methodology. The majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. The annual Nonemployer Statistics data are available approximately 18 months after each reference year. Data for years since 2002 are published via comma-delimited format (csv) for spreadsheet or database use, and in the American FactFinder (AFF). For help accessing the data, please refer to the Data User Guide.

Abstract

The Future of Business Survey is a new source of information on small and medium-sized enterprises (SMEs). Launched in February 2016, the monthly survey - a partnership between Facebook, OECD, and The World Bank - provides a timely pulse on the economic environment in which businesses operate and who those businesses are to help inform decision-making at all levels and to deliver insights that can help businesses grow. The Future of Business Survey provides a perspective from newer and long-standing digitalized businesses and provides a unique window into a new mobilized economy.

Policymakers, researchers and businesses share a common interest in the environment in which SMEs operate, as well their outlook on the future, not least because young and innovative SMEs in particular are often an important source of considerable economic and employment growth. Better insights and timely information about SMEs improve our understanding of economic trends, and can provide new insights that can further stimulate and help these businesses grow.

To help provide these insights, Facebook, OECD and The World Bank have collaborated to develop a monthly survey that attempts to improve our understanding of SMEs in a timely and forward-looking manner. The three organizations share a desire to create new ways to hear from businesses and help them succeed in the emerging digitally-connected economy. The shared goal is to help policymakers, researchers, and businesses better understand business sentiment, and to leverage a digital platform to provide a unique source of information to complement existing indicators.

With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest.

Geographic coverage

When the survey was initially launched in February 2016, it included 22 countries. When the survey was initially launched in February 2016, it included 22 countries. The Future of Business Survey is now conducted in over 90 countries in every region of the world.

Countries included in at least one wave: Albania Algeria American Samoa Andorra Angola Anguilla Antigua and Barbuda Argentina Aruba Australia Austria Azerbaijan Bahamas (the) Bangladesh Barbados Belarus Belgium Belize Benin Bolivia (Plurinational State of) Bonaire, Sint Eustatius and Saba Bosnia and Herzegovina Botswana Brazil Brunei Darussalam Bulgaria Burkina Faso Burundi Cabo Verde Cambodia Cameroon Canada Cayman Islands (the) Central African Republic (the) Chad Chile Colombia Congo (the) Curaçao Cyprus Czechia Côte d'Ivoire Denmark Djibouti Dominica Dominican Republic (the) Ecuador Egypt El Salvador Equatorial Guinea Estonia Eswatini Ethiopia Faroe Islands (the) Fiji Finland France French Polynesia Gabon Gambia (the) Germany Ghana Gibraltar Greece Grenada Guadeloupe Guam Guatemala Guernsey Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iraq Ireland Isle of Man Israel Italy Jamaica Japan Jersey Jordan Kenya Korea (the Republic of) Kuwait Lao People's Democratic Republic (the) Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Malawi Malaysia Mali Malta Martinique Mauritania Mauritius Mayotte Mexico Monaco Montenegro Morocco Mozambique Myanmar Namibia Nepal Netherlands (the) New Caledonia New Zealand Nicaragua Niger (the) Nigeria North Macedonia Northern Mariana Islands (the) Norway Oman Pakistan Panama Papua New Guinea Paraguay Peru Philippines (the) Poland Portugal Qatar Romania Russian Federation (the) Rwanda Réunion Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Sint Maarten (Dutch part) Slovakia Slovenia Solomon Islands South Africa Spain Sweden Switzerland Taiwan Tanzania, the United Republic of Thailand Timor-Leste Togo Tonga Trinidad and Tobago Tunisia Turkey Turks and Caicos Islands (the) Uganda United Arab Emirates (the) United Kingdom of Great Britain and Northern Ireland (the) United States of America (the) Uruguay Vanuatu Viet Nam Virgin Islands (British) Virgin Islands (U.S.) Zambia.

Analysis unit

The study describes small and medium-sized enterprises.

Universe

The target population consists of SMEs that have an active Facebook business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest.

Kind of data

Sample survey data [ssd]

Sampling procedure

Twice a year in over 97 countries, the Facebook Survey Team sends the Future of Business to admins and owners of Facebook-designated small business pages. When we share data from this survey, we anonymize responses to all survey questions and only share country-level data publicly. To achieve better representation of the broader small business population, we also weight our results based on known characteristics of the Facebook Page admin population.

A random sample of firms, representing the target population in each country, is selected to respond to the Future of Business Survey each month.

Mode of data collection

Internet [int]

Research instrument

The survey includes questions about perceptions of current and future economic activity, challenges, business characteristics and strategy. Custom modules include questions related to regulation, access to finance, digital payments, and digital skills. The full questionnaire is available for download.

Response rate

Response rates to online surveys vary widely depending on a number of factors including survey length, region, strength of the relationship with invitees, incentive mechanisms, invite copy, interest of respondents in the topic and survey design.

Note: Response rates are calculated as the number of respondents who completed the survey divided by the total number of SMEs invited.

Sampling error estimates

Any survey data is prone to several forms of error and biases that need to be considered to understand how closely the results reflect the intended population. In particular, the following components of the total survey error are noteworthy:

Sampling error is a natural characteristic of every survey based on samples and reflects the uncertainty in any survey result that is attributable to the fact that not the whole population is surveyed.

Other factors beyond sampling error that contribute to such potential differences are frame or coverage error (sampling frame of page owners does not include all relevant businesses but also may include individuals that don't represent businesses), and nonresponse error.

Note that the sample is meant to reflect the population of businesses on Facebook, not the population of small businesses in general. This group of digitized SMEs is itself a community worthy of deeper consideration and of considerable policy interest. However, care should be taken when extrapolating to the population of SMEs in general. Moreover, future work should evaluate the external validity of the sample. Particularly, respondents should be compared to the broader population of SMEs on Facebook, and the economy as a whole.

Nonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax. The data consist of the number of businesses and total receipts by industry. Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income. The majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses.

Small Business Market Outlook 2032

The global small business market size was USD 2,572 Billion in 2023 and is projected to reach USD 4,985 Billion by 2032, expanding at a CAGR of 8.50% during 2024–2032. The market growth is attributed to the proliferation of small businesses.



Growing number of small businesses are becoming the backbone of global economies, driving innovation and creating employment opportunities. They are not confined to traditional brick-and-mortar establishments and are embracing digital platforms to reach a wider audience. A novel application of small businesses is the rise of micro-consulting, where individuals with specialized knowledge offer their expertise on a project-by-project basis, thereby reducing overhead costs and providing flexible, tailored solutions for clients.



Growing regulatory changes are impacting the small business landscape. The most recent being the General Data Protection Regulation (GDPR) implemented by the European Union, which applies to all businesses, regardless of size, that handle personal data of EU citizens.



This regulation has significant implications for small businesses, as it necessitates stringent data protection measures. Non-compliance results in hefty fines, thus, it is likely to increase the demand for data security services and impact how small businesses manage customer data.

Impact of Artificial Intelligence (AI) in Small Business Market

Artificial Intelligence (AI) has a considerable impact on the small business market. These enterprises automate routine tasks by integrating AI into their operations, thereby increasing efficiency and reducing operational costs. AI's predictive analytics capabilities enable these businesses to anticipate market trends and customer behavior, facilitating strategic decision-making.



AI-powered customer service tools, such as </span

US Tariff Impact on Market

US tariffs on key components of modular data centers, such as servers, cooling systems, and power units, could raise the overall cost of production, affecting the affordability of these data center solutions. As large enterprises, which account for 65.3% of the market, require scalable and cost-effective solutions, the increased costs could lead to a slowdown in demand, particularly for small and medium enterprises that may struggle with higher operational expenses.

However, the growing demand for flexible and energy-efficient data center solutions, driven by IT and telecommunications, could help mitigate the impact of tariff-induced price hikes. Larger enterprises may also seek alternative sourcing strategies to reduce costs, but the short-term impact could affect growth in the modular data center market.

US Tariff Impact on Sectors

• Modular Data Center Solutions: 4%-6%
• Cooling Systems: 5%-7%
• IT Infrastructure: 3%-5%

Economic Impact

Tariffs could increase production costs for modular data center components, raising prices for consumers. This could affect both large enterprises and SMEs, especially in regions with high cost sensitivity. Higher prices may slow the adoption of modular data centers, particularly for businesses with tight IT infrastructure budgets.

Geographical Impact

North America, the dominant region, will experience the most significant impact from tariffs due to its reliance on imported data center components. These increased costs may reduce demand in the U.S., slowing the growth of modular data centers, particularly in industries like IT and telecommunications that rely on cost-efficient solutions.

Business Impact

Companies in the modular data center market may face margin compression due to increased component costs from tariffs. Larger enterprises may absorb the costs, but SMEs could be adversely affected by price increases, resulting in lower adoption rates. This could also slow growth in North America's highly competitive data center market.

➤➤ Request sample reflecting US tariffs @ https://market.us/report/modular-data-center-market/free-sample/

The Small Business Administration maintains the Dynamic Small Business Search (DSBS) database. As a small business registers in the System for Award Management, there is an opportunity to fill out the small business profile. The information provided populates DSBS. DSBS is another tool contracting officers use to identify potential small business contractors for upcoming contracting opportunities. Small businesses can also use DSBS to identify other small businesses for teaming and joint venturing.

Analysis of ‘SBA Loans Case Data Set’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/larsen0966/sba-loans-case-data-set on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Should This Loan be Approved or Denied?

If you like the data set and download it, an upvote would be appreciated.

The Small Business Administration (SBA) was founded in 1953 to assist small businesses in obtaining loans. Small businesses have been the primary source of employment in the United States. Helping small businesses help with job creation, which reduces unemployment. Small business growth also promotes economic growth. One of the ways the SBA helps small businesses is by guaranteeing bank loans. This guarantee reduces the risk to banks and encourages them to lend to small businesses. If the loan defaults, the SBA covers the amount guaranteed, and the bank suffers a loss for the remaining balance.

There have been several small business success stories like FedEx and Apple. However, the rate of default is very high. Many economists believe the banking market works better without the assistance of the SBA. Supporter claim that the social benefits and job creation outweigh any financial costs to the government in defaulted loans.

The Data Set

The original data set is from the U.S.SBA loan database, which includes historical data from 1987 through 2014 (899,164 observations) with 27 variables. The data set includes information on whether the loan was paid off in full or if the SMA had to charge off any amount and how much that amount was. The data set used is a subset of the original set. It contains loans about the Real Estate and Rental and Leasing industry in California. This file has 2,102 observations and 35 variables. The column Default is an integer of 1 or zero, and I had to change this column to a factor.

For more information on this data set go to https://amstat.tandfonline.com/doi/full/10.1080/10691898.2018.1434342

--- Original source retains full ownership of the source dataset ---

Abstract

To gain a deeper understanding of the perspectives, challenges, and opportunities for small and medium sized businesses (SMBs) around the world during the COVID-19 pandemic, Facebook and partners collaborate to collect and share timely information with the broader community. The State of Small Business (SoSB) Survey surveys SMBs, employees, and consumers from approximately 30 countries across the globe. This combination of survey respondents allows us to evaluate how the impacts on SMBs, their employees, and their clients have developed throughout 2021.

Geographic coverage

Argentina Australia Belgium Brazil Canada Colombia Egypt France Germany Ghana India Indonesia Ireland Israel Italy Kenya Mexico Nigeria Pakistan Philippines Poland Portugal Russian Federation (the) South Africa Spain Taiwan Turkey United Kingdom of Great Britain and Northern Ireland United States of America (the) Vietnam

Analysis unit

The study describes small and medium-sized business owners, their employees and consumers.

Universe

The survey uses a random sample of SMB leaders with Facebook Page administrator privileges and of the general population of Facebook users. Therefore, the sample covered in the survey is representative of SMB leaders surveyable through Facebook at the country level.

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey reaches a random sample of SMB leaders with Facebook Page administrator privileges and of the general population of Facebook users. A random sample of firms, representing the target population in each country, is selected to respond to the survey. To achieve better representation of the broader small business population on Facebook, Facebook also weights our results based on known characteristics of the Facebook Page admin population.

Mode of data collection

Internet [int]

Research instrument

Questions cover a range of topics depending on the survey wave such as business characteristics, challenges, financials and strategy in addition to custom modules related to regulation, access to finance, digital technologies, reduction in revenues, business closures, reduction of employees and challenges/needs of the business

Response rate

Response rates to online surveys vary widely depending on a number of factors including survey length, region, strength of the relationship with invitees, incentive mechanisms, invite copy, interest of respondents in the topic and survey design. To achieve better representation of the broader small business population on Facebook, Facebookwe also weights our results based on known characteristics of the Facebook Page admin population.

Note: Response rates are calculated as the number of respondents who completed the survey divided by the total number of SMBs invited.

Sampling error estimates

Any survey data is prone to several forms of error and biases that need to be considered to understand how closely the results reflect the intended population. In particular, the following components of the total survey error are noteworthy: Sampling error is a natural characteristic of every survey based on samples and reflects the uncertainty in any survey result that is attributable to the fact that not the whole population is surveyed.Other factors beyond sampling error that contribute to such potential differences are frame or coverage error (sampling frame of Page owners does not include all relevant businesses but also may include individuals that don’t represent businesses), and nonresponse error.

Note that the sample is meant to reflect the population of businesses on Facebook, not the population of small businesses in general. This group of digitized SMEs is itself a community worthy of deeper consideration and of considerable policy interest. However, care should be taken when extrapolating to the population of SMEs in general. Moreover, future work should evaluate the external validity of the sample. Particularly, respondents should be compared to the broader population of SMEs on Facebook, and the economy as a whole.

Context

The dataset is from the U.S. Small Business Administration (SBA)

The U.S. SBA was founded in 1953 on the principle of promoting and assisting small enterprises in the U.S. credit market (SBA Overview and History, US Small Business Administration (2015)). Small businesses have been a primary source of job creation in the United States; therefore, fostering small business formation and growth has social benefits by creating job opportunities and reducing unemployment.

There have been many success stories of start-ups receiving SBA loan guarantees such as FedEx and Apple Computer. However, there have also been stories of small businesses and/or start-ups that have defaulted on their SBA-guaranteed loans.

Content

Shape of the data: 899164 rows and 27 columns

Data Dictionary

Description of the first two digits of NAICS.

Acknowledgements

Original data set id from “Should This Loan be Approved or Denied?”: A Large Dataset with Class Assignment Guidelines. by: Min Li, Amy Mickel & Stanley Taylor

To link to this article: https://doi.org/10.1080/10691898.2018.1434342

Inspiration

Good luck with predictions!

US Tariff Impact on Market

US tariffs on imported hardware, software, and cloud solutions have led to increased costs for companies in the AI in data science market. These price hikes have a direct impact on both solution providers and end-users, especially those relying on international suppliers for AI-driven software and cloud infrastructure.

Financial institutions, which are key adopters of AI technologies, face higher operational expenses, potentially slowing down the adoption of AI in data science. The increased cost of cloud-based deployments, which dominate the market, further exacerbates this issue, particularly for small to medium-sized enterprises (SMEs) that may find it difficult to absorb these increased expenses.

➤➤➤ Get More Detailed Insights about US Tariff Impact @ https://market.us/report/ai-in-data-science-market/free-sample/

The market's growth trajectory in North America and other regions with high reliance on US-based solutions may be negatively affected in the short term due to these tariff-induced challenges.

Global Government Open Data Management Platform Market size was valued at USD 1.75 Billion in 2024 and is projected to reach USD 3.38 Billion by 2032, growing at a CAGR of 8.54% from 2026 to 2032.

Global Government Open Data Management Platform Market Drivers

Increasing Demand for Transparency and Accountability: There is a growing public demand for transparency in government operations, which drives the adoption of open data initiatives. According to a survey by the World Bank, 85% of respondents in various countries indicated that transparency in government decisions is crucial for reducing corruption, prompting governments to implement open data platforms.

Technological Advancements: Rapid advancements in information and communication technology (ICT) facilitate the development and deployment of open data management platforms. The International Telecommunication Union (ITU) reported that global Internet penetration reached approximately 64% in 2023, enabling more citizens to access open data and engage with government services online.

Government Initiatives and Policies: Many governments are actively promoting open data through policies and initiatives. For instance, the U.S. government's Open Data Initiative, launched in 2013, has led to the publication of over 300,000 datasets on Data.gov. Additionally, the European Union's Open Data Directive, which aims to make public sector data available, is further encouraging governments to embrace open data practices.

Despite the higher access to credit, business brokers endured notable declines due to high inflation, rising interest rates and an inconsistent mergers & acquisition (M&A) climate. In contrast to merger and acquisition advisers, business brokers focus on companies valued at less than $2.0 million, often finding the ultimate buyer near the company's location. According to data from the International Business Brokers Association (IBBA), there is currently an oversupply of potential small business buyers and an undersupply of high-quality businesses for sale. This resulted in higher valuations for small businesses before the pandemic, increasing commissions for successfully brokered business sales. In recent years, the acceleration of interest rates to combat high inflation has significantly curtailed small businesses’ fiscal flexibility, causing revenue to fall at a CAGR of 2.5% to an estimated $1.8 billion over the past five years, including an estimated 3.9% boost in 2024. Nearly 50.0% of business brokers are sole proprietors, typically earning between 5.0% and 10.0% of the ultimate sale price in commission. In recent years, optimism surrounding the business-for-sale market has increased among business brokers; however, the effects of high interest rates and a generally restrictive borrowing environment remains the biggest barrier to further growth, according to the IBBA. There needed to be more than the increase in volume and sustained demand for operators’ services to offset the rise in wages and other costs, causing profit to dwindle. Moving forward, the continued uncertainty surrounding interest rates, higher borrowing costs and deceleration in access to credit and the number of businesses are expected to yield slower growth in revenue. Nonetheless, the continuity of lower middle market (LMM) transaction demand, coupled with favorable demographic and private investment trends, will benefit brokers. As a more significant share of the population reaches retirement age, more small businesses will be listed for sale, increasing opportunities for business brokers. Put together, these trends are expected to cause revenue to grow at a CAGR of 1.8% to an estimated $2.0 billion over the next five years.

US Tariff Impact on Market

U.S. tariffs on imported technology and software components have increased production costs for data governance software manufacturers. Many of the components necessary for building software solutions, such as cloud infrastructure, databases, and storage solutions, are imported from countries like China.

These tariffs have led to price hikes for U.S. companies that depend on foreign-made technology, thus increasing the overall cost of data governance solutions. The tariffs particularly affect cloud-based solutions, which require substantial infrastructure.

This increase in production costs is likely to be passed on to customers, slowing adoption, especially for small to medium enterprises (SMEs). However, the increasing demand for regulatory compliance, data protection, and risk management continues to drive growth in the market. The tariff impact is estimated to affect 15-20% of the data governance market, particularly in cloud-based and SaaS solutions.

US Tariff Impact Percentage for Impacted Sector

The U.S. tariffs have impacted approximately 15-20% of the data governance software market, especially in the cloud-based and SaaS solutions sectors, which rely heavily on imported technology.

Sources for US Tariff Impact Data

• Impact on Technology Production: U.S. tariffs raise costs for imported technology and software components.
• Increased Software Prices: Higher software costs due to tariffs.
• Supply Chain Disruptions: Impact of tariffs on data software production

➤➤➤ Get More Detailed Insights about US Tariff Impact @ https://market.us/report/data-governance-software-market/free-sample/

Economic Impact

• U.S. tariffs have increased production costs, particularly for cloud-based and SaaS data governance software.
• The higher prices may slow adoption of data governance solutions, particularly among SMEs and cost-sensitive organizations.
• Despite cost increases, strong demand for data protection and regulatory compliance fuels continued growth in the sector.

Geographical Impact

• North America, particularly the U.S., faces higher costs for data governance solutions due to tariffs on imported technology.
• Europe and Asia-Pacific regions are less affected, with companies leveraging local and regional supply chains.
• The global shift to SaaS and cloud-based solutions is accelerating, with the U.S. still holding a dominant share despite tariff impacts.

Business Impact

...

We use a five-year panel of Ugandan SMEs, supplemented with phone-survey data from August 2020, to analyze how the onset of the Covid-19 pandemic affected profits and employment. Most firms had employees, enabling us to investigate whether—and how—the crisis reshaped SMEs’ job-creation capacity, with particular focus on gender differences. Profits fell substantially for all firms, yet male entrepreneurs paradoxically expanded their workforce—suggesting that hiring under crisis may arise partly from social obligations. Meanwhile, female entrepreneurs bore heavier caregiving loads and relied more on extended family support, potentially hampering future growth through added caregiving and reciprocal obligations.

The Business Intelligence (BI) Software industry in the US has experienced substantial growth, driven primarily by surging demand for data-driven decision-making amidst increasing online business activities. The pandemic significantly accelerated this trend as companies shifted their operations online and invested in sophisticated analytics tools. In 2024, the industry is valued at $36.4 billion, with revenue climbing 6.4% during 2024 alone. The industry has benefited from investments in cloud-based services and AI solutions, which have been critical growth drivers, leading to profit accounting for 24.6% of revenue during the current year. Mergers and acquisitions (M&A) have been pivotal in reshaping the BI landscape. Prominent firms like Salesforce, Google and Microsoft are leveraging their robust financial positions to acquire innovative startups, expanding their market share and product portfolios. This strategic consolidation targets niche markets and drives rapid technology adoption. These investment activities provide significant competitive edges by integrating artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) into BI solutions. These technologies have proven essential for automated data analysis, enhancing efficiency and streamlining business processes. Moving forward, the BI software industry seeks to capitalize on the growing potential of AI to drive revenue up at a CAGR of 3.5% to $39.1 billion. As businesses rely on data to make business decisions, they will demand enhanced real-time features that incorporate predictive AI to allow them to make immediate decisions. As industry participants prioritize efficiency and data security in their product offerings, they will solidify their indispensable role in contemporary business operations. This will lead to favorable margins moving forward. While the BI software sector remains highly dynamic with stiff competition, companies focusing on rapid technology adoption, strategic M&A activities and catering to SME needs are poised to benefit immensely from this ongoing digital transformation. Such forward-thinking strategies will open new opportunities and drive continual innovation within the industry.