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There's a need for information on large companies in this age of big data.
In this dataset you'll find info on 500 large American corporations and their business models.
This data comes from https://data.world/bgadoci/open-data-500-companies.
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Corporate Profits in the United States decreased to 3203.60 USD Billion in the first quarter of 2025 from 3312 USD Billion in the fourth quarter of 2024. This dataset provides the latest reported value for - United States Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
According to a January 2021 survey of adults worldwide, 66 percent of total respondents agreed on feeling that tech companies hold too much control over their personal data, while only six percent expressed disagreement with the statement. Consumers based in Spain, the United Kingdom, and the United States reported higher levels of concern over data control, with more than seven in ten people feeling that tech companies have too much control over their personal information. While surveyed consumers in Sweden, China, and Indonesia appeared to agree the least with the statement, still more than five in ten reported feeling that tech companies have too much control over their data.
Questionable ethics and security breaches put tech companies under scrutiny
Tech giants, and big tech in particular have been under focus in recent years when it comes to data privacy and consumer-related ethics. While Google has been recipient of not one, but a number of antitrust fines from the EU dating back to 2017, tech giant Yahoo fell victim to various data breaches that resulted in the exposure of 3 billion consumer records in total to date.
User skepticism is growing
No wonder public trust has faltered. The rise of ad-blockers, VPNs and privacy search engines show that consumers are more eager than ever to protect their data online. In the United States, alternative search engine DuckDuckGo saw a surge in popularity from April 2020 - around the start of the COVID-19 pandemic. Meanwhile, over half of those surveyed in the UK said that the public exposure of recent data breaches had impacted their willingness to share personal information. The global pandemic has also hit the tech industry, with companies in the tourism sector taking the biggest blow. Booking.com laid off the highest number of employees during 2020, a total of 4375 members of staff.
https://www.fortunebusinessinsights.com/privacy/https://www.fortunebusinessinsights.com/privacy/
The global big data analytics market size was valued at $307.52 billion in 2023 & is projected to grow from $348.21 billion in 2024 to $961.89 billion by 2032
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According to Cognitive Market Research, the Global Data Monetization market size will be $14.96 Billion by 2030. Data Monetization Industry's Compound Annual Growth Rate will be 21.83% from 2023 to 2030.
The global Data Monetization market will expand significantly by XX% CAGR between 2023 to 2031.
North America held the major market of more than XX% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of XX% from 2023 to 2031.
Large Enterprises held the highest Data Monetization market revenue share in 2023.
Market Dynamics of the Data Monetization Market
Key Drivers of the Data Monetization Market
Rising Demand for Data Integration Drive the Data Monetization Market Further
The Data Monetization market is buoyed due to factors including growing enterprise data volume, awareness of data monetization, and external data sources. Growth is also anticipated to be fuelled by the use of big analytics innovations, artificial intelligence, data-driven decision-making techniques, and data processing. Optimising data consumption, improving customer loyalty, cutting operating expenses, enhancing compliance, raising profitability, fortifying alliances, and improving customer experience are all benefits of data monetization. In addition, it promotes targeted marketing, simplifies planning, fosters better teamwork, and adds value to goods and services.
For instance, Cisco states in its Annual Internet Report that by 2023, about two thirds of people on the planet would have access to the Internet. By 2023, there will be 5.3 billion Internet users worldwide, or 66% of the world's population, up from 3.9 billion in 2018 (or 51% of the world's population). As a result, the necessity for data monetization is going to explode.
https://www.cisco.com/c/en/us/solutions/executive-perspectives/annual-internet-report/
Maximizing Revenue Potential Propels the Data Monetization Market Growth
A critical component of company is data monetization, which uses client information to generate extra income. It is essential for customer service, upselling, and churn reduction. The monetization of data provides insights into new business categories and is fuelled by cutting edge technology like as cloud computing, big data, IoT, and artificial intelligence. Many players have chosen to invest in this strategy due to its capacity to synthesise and integrate thousands of data, IoT records, and advanced analytics, which enables companies to establish new business categories and spur market expansion. For businesses to succeed, they must be able to extract significant revenue from the data sources that are readily available.
For instance, data monetization enables businesses to leverage their artificial intelligence (AI) capabilities and data assets to generate real economic value, according to an IBM article. Data products are used in this value exchange system to improve business performance, obtain a competitive edge, and solve market demands while addressing industry difficulties.
https://www.ibm.com/blog/unlocking-financial-benefits-through-data-monetization/
Key Restraints of the Data Monetization Market
Quality and Standardization Challenges in Data Monetization Restrict the Market Growth
Data monetization relies on data quality and standardization to ensure accuracy, comprehensiveness, consistency, reliability, and relevance. However, businesses face challenges in ensuring data quality due to factors like data fragmentation, data silos, and inconsistency. This lack of data quality and standards hinders the market for data monetization, negatively impacting the worth and usability of data, and increasing costs and complexity. Addressing these issues is crucial for ensuring the success of data monetization.
For instance, according to EY's Data Quality Management reports, low response rates and sampling flaws in 2016 tainted the polling data used to forecast the result of the US presidential election, leading to erroneous analysis and forecasts.
Impact of COVID-19 on the Data Monetization Market
The COVID-19 pandemic caused travel and logistical limitations, which increased the effect on industries. The expansion of the data monetisation business was somewhat hindered by this, as there ...
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In 2021, **** percent of U.S. marketers in companies largest than 100 employees were expected to use social media for marketing purposes. In 2013, the share stood at **** percent. Social media marketing – additional informationEveryone knows that social media started as an entertainment tool and evolved to a powerful marketing tool. While it serves its primary purpose of connecting people, at the same time it plays a major role in connecting marketers with current and potential customers. Marketing professionals agreed that social media was very important to their business. In fact, ** percent agreed with it strongly. These convictions are reflected in growing expenditures towards this medium. In the United States alone, social media marketing spending is expected to exceed ** billion U.S. dollars in 2019 – almost ** billion increase, compared to 2014.When asked about the leading challenges of social media marketing, ** percent of surveyed marketers stated that assessing its effectiveness was their main concern, followed by strategy design and analyzing obtained data. In order to evaluate the effectiveness, U.S. social media specialists employed a number of measurements. Counting the number of hits, visits or page views was the leading social media metric used in 2014. In addition, ** percent of respondents believed that the number of friends or followers on social platforms was a significant indicator of marketing success.Specific platform usage among social media professionals varies depending on the type of commerce transaction. Twitter seems to be a shared platform, ranked second in usage for both business-to-business and business-to-consumer industries. The difference is visible when considering the primary spot. Among B2C marketers, ** percent used Facebook, while among B2B marketers, ** percent indicated using LinkedIn.
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According to Cognitive Market Research, the global Data Exchange Platform Services Market size was USD XX million in 2024 and will expand at a compound annual growth rate (CAGR) of XX% from 2024 to 2033.
North America held largest share of XX% in the year 2024
Europe held share of XX% in the year 2024
Asia-Pacific held significant share of XX% in the year 2024
South America held significant share of XX% in the year 2024
Middle East and Africa held significant share of XX% in the year 2024
Market Dynamics of the Data Exchange Platform Service Market:
Key Drivers for the Data Exchange Platform Service Market
Businesses Are Increasingly Requiring Third-Party Data to Analyse Consumer Purchase Behavior and the Market which las led to the growth of the market
The market is experiencing an increase in demand for third-party data, which is being met by data exchange platform services. This data ranges from traffic and financial data to climatic, geographic, and streaming sensor data. In order to enhance their statistical and machine learning models, data scientists and researchers are always searching for new sources of data. Third-party data, including as demographic, psychographic, and social media information, is needed by market researchers in a variety of domains to enhance analysis, predictions, and plans and to build 360-degree perspectives of their clientele. Furthermore, big companies are already requesting clickstream data in order to, among other things, personalize user experiences and develop engaging suggestion engines. For instance, in January 2020, IBM Corporation and Yara International worked together to create an open data sharing platform that can help with field and farm data collaboration, allowing more food to be produced globally while leaving a reduced environmental impact. It is anticipated that demand for data exchange platform services will continue to grow during the forecast period due to intensifying competition and platform service providers' rush to create premium features. In order to enable data consumers to quickly survey, purchase, upload, and query such data sets, businesses are increasingly working to simplify the process for data providers to package, distribute, sell, protect, and manage data assets. Unquestionably, an uncontested data exchange platform fosters development for all parties involved—data operators, suppliers, and customers—and is easier to market and use. Throughout the forecast period, all of these factors will be propelling the worldwide data exchange platform services market.
Restraints for the Data Exchange Platform Service Market
High initial costs for Data Exchange Platform Services may hamper the growth of the market
Initial installation costs for demand planning solution programs might be high. They also incur additional expenditures associated with upkeep. Furthermore, organizations may be compelled to boost their expenditures for staff training on how to use the systems, in addition to spending on information technology (IT) infrastructure within the company. These challenges may impede Data Exchange Platform Services market growth throughout the projection period, particularly for small and medium-sized businesses. Without internal knowledge or technical resources, the costs for gear purchases, implementation fees, and software licensing can be prohibitive. Furthermore, continuing maintenance, such as repairs, training expenses, and IT assistance, may put further strain on already limited funds Market Overview of the Data Exchange Platform Services Market
Data Exchange Platform Services are often valuable for marketers, developers, website owners, and UI/UX professionals. It collects mouse motions such as scrolling, highlighting, typing, keypresses, heatmaps, and funnels, which assist to improve the efficiency of an application or website and obtain greater conversion rates. A replay solution delivers intangible facts for users who encounter difficult challenges when visiting a website. It helps to identify issues, eradicate them, and provide a smoother online experience. Furthermore, it aids in inspecting possible consumer behavior, better investigating customer wants, and adjusting web design layouts. A session replay tool lets the customer support staff fix difficulties in real-time using heatmap analysis, which reveals...
Employment for all employees by enterprise size and North American Industry Classification System (NAICS), last 5 years.
Upvote! The database contains +40,000 records on US Gross Rent & Geo Locations. The field description of the database is documented in the attached pdf file. To access, all 325,272 records on a scale roughly equivalent to a neighborhood (census tract) see link below and make sure to upvote. Upvote right now, please. Enjoy!
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The data set originally developed for real estate and business investment research. Income is a vital element when determining both quality and socioeconomic features of a given geographic location. The following data was derived from over +36,000 files and covers 348,893 location records.
Only proper citing is required please see the documentation for details. Have Fun!!!
Golden Oak Research Group, LLC. “U.S. Income Database Kaggle”. Publication: 5, August 2017. Accessed, day, month year.
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Annual estimates of foreign-owned businesses by industry group, section, employment and turnover group, and country breakdown.
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This survey was designed to obtain a picture of women business owners, the major problems they encountered and the major determinants of their success. The original study (the Woman Entrepreneur study) was conducted in 1978 by the American Management Association. In 1979 a follow-up (the Woman Small Business Administration study) was conducted to identify the technical assistance needs of these women. A list of women business owners was obtained from government agencies and field offices using a nomination technique. Questionnaires were sent to more than 900 women; 284 usable questionnaires (29%) were received. In addition, 40 of the women judged to be the most successful in terms of gross receipts were contacted by female researchers for semistructured telephone interviews. Respondents were from all parts of the United States, and most were under 50 years old. Nearly three-fourths were Caucasian. Of the 284 initial respondents, 95 women (33%) returned the 1979 SBA questionnaire. Only 48 of these 95 can be matched to their 1978 responses. Business-related variables assessed included duties and activities; type of business; employees; gross receipts; how, when, why and with whom the business was started; capital and financing information; owner's relation with government agencies; present position; and household income. Demographic and personal information covered academic background, work history, marital status, childbearing history, geographic mobility, parental role models and influential factors, and the perceived adequacy of educational and work histories. Finally, recommendations regarding the types of assistance desired from governmental agencies, universities, and other professional organizations were solicited. The Murray Research Archive holds numeric file data from both waves of the study.
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The global POS systems for small business market size is projected to grow from USD 13.3 billion in 2023 to approximately USD 23.7 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 6.6% during the forecast period. This robust growth can be attributed to the increasing adoption of advanced POS systems by small businesses worldwide, driven by the need for efficient transaction management, enhanced customer experience, and streamlined operations. The evolution of technology, specifically in areas such as cloud computing and mobile payment integration, is significantly contributing to the market's expansion, as small businesses are keen to leverage these innovations to improve their competitive edge.
One of the primary growth factors fueling the demand for POS systems among small businesses is the ongoing digital transformation across various sectors. As businesses strive to modernize their operations, there is a noticeable shift towards digital payment methods, prompting small business owners to adopt POS systems that offer seamless integration with these new payment technologies. This is particularly relevant in the retail and hospitality industries, where transactions need to be quick, efficient, and user-friendly. POS systems provide small businesses with the tools to meet these requirements, thereby enhancing customer satisfaction and loyalty.
Another significant growth driver is the growing necessity for data-driven decision-making in small business operations. POS systems are not only transaction facilitators but also powerful data collection tools that offer insights into sales trends, customer preferences, and inventory management. This data can be invaluable for small business owners, who often operate with limited resources and need to make strategic decisions to optimize their operations. By implementing POS systems, small businesses can gain access to real-time analytics and reports, enabling them to make informed decisions that drive growth and profitability.
The increasing affordability and accessibility of POS system solutions are also key factors contributing to market growth. As technology advances, the cost of deploying sophisticated POS systems has decreased, making them more accessible to small businesses with tight budgets. Moreover, the availability of flexible deployment modes, such as cloud-based solutions, allows small businesses to implement these systems without significant upfront investment. These cloud-based systems also offer scalability and flexibility, which are crucial for small businesses that anticipate growth and changes in their operational needs.
The North American region is anticipated to dominate the POS systems market for small businesses, accounting for the largest regional market share throughout the forecast period. This dominance is primarily due to the region's early adoption of advanced technologies and the presence of a substantial number of small businesses seeking efficient transaction solutions. The U.S., in particular, is a major contributor to this growth, driven by the increasing preference for cashless transactions and the implementation of mobile payment solutions by small enterprises.
In the Asia Pacific region, the market for POS systems in small businesses is expected to exhibit the highest CAGR, bolstered by rapid industrialization and the burgeoning retail sector. Countries like China and India, with their vast populations and rapidly growing economies, are witnessing a surge in small and medium-sized enterprises (SMEs) adopting POS systems to enhance their operational efficiencies. The increasing penetration of smartphones and the internet, coupled with rising consumer awareness about digital payments, are further propelling the market growth in this region.
Europe is also projected to experience significant growth in the POS systems market for small businesses, driven by regulatory frameworks promoting digital transactions and the strong focus on enhancing customer experience in sectors like hospitality and retail. Countries such as Germany, the UK, and France are leading this trend, with small businesses continually investing in modern POS solutions to keep pace with evolving consumer expectations. The focus on data security and compliance with GDPR regulations is also encouraging small businesses to adopt POS systems that offer robust security features.
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Diversity in Tech Statistics: In today's tech-driven world, discussions about diversity in the technology sector have gained significant traction. Recent statistics shed light on the disparities and opportunities within this industry. According to data from various sources, including reports from leading tech companies and diversity advocacy groups, the lack of diversity remains a prominent issue. For example, studies reveal that only 25% of computing jobs in the United States are held by women, while Black and Hispanic individuals make up just 9% of the tech workforce combined. Additionally, research indicates that LGBTQ+ individuals are underrepresented in tech, with only 2.3% of tech workers identifying as LGBTQ+. Despite these challenges, there are promising signs of progress. Companies are increasingly recognizing the importance of diversity and inclusion initiatives, with some allocating significant resources to address these issues. For instance, tech giants like Google and Microsoft have committed millions of USD to diversity programs aimed at recruiting and retaining underrepresented talent. As discussions surrounding diversity in tech continue to evolve, understanding the statistical landscape is crucial in fostering meaningful change and creating a more inclusive industry for all. Editor’s Choice In 2021, 7.9% of the US labor force was employed in technology. Women hold only 26.7% of tech employment, while men hold 73.3% of these positions. White Americans hold 62.5% of the positions in the US tech sector. Asian Americans account for 20% of jobs, Latinx Americans 8%, and Black Americans 7%. 83.3% of tech executives in the US are white. Black Americans comprised 14% of the population in 2019 but held only 7% of tech employment. For the same position, at the same business, and with the same experience, women in tech are typically paid 3% less than men. The high-tech sector employs more men (64% against 52%), Asian Americans (14% compared to 5.8%), and white people (68.5% versus 63.5%) compared to other industries. The tech industry is urged to prioritize inclusion when hiring, mentoring, and retaining employees to bridge the digital skills gap. Black professionals only account for 4% of all tech workers despite being 13% of the US workforce. Hispanic professionals hold just 8% of all STEM jobs despite being 17% of the national workforce. Only 22% of workers in tech are ethnic minorities. Gender diversity in tech is low, with just 26% of jobs in computer-related sectors occupied by women. Companies with diverse teams have higher profitability, with those in the top quartile for gender diversity being 25% more likely to have above-average profitability. Every month, the tech industry adds about 9,600 jobs to the U.S. economy. Between May 2009 and May 2015, over 800,000 net STEM jobs were added to the U.S. economy. STEM jobs are expected to grow by another 8.9% between 2015 and 2024. The percentage of black and Hispanic employees at major tech companies is very low, making up just one to three percent of the tech workforce. Tech hiring relies heavily on poaching and incentives, creating an unsustainable ecosystem ripe for disruption. Recruiters have a significant role in disrupting the hiring process to support diversity and inclusion. You May Also Like To Read Outsourcing Statistics Digital Transformation Statistics Internet of Things Statistics Computer Vision Statistics
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Facebook probably needs no introduction; nonetheless, here is a quick history of the company. The world’s biggest and most-famous social network was launched by Mark Zuckerberg while he was a...
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The global tax avoidance services market size was estimated at USD 8.5 billion in 2023 and is projected to grow to USD 15.3 billion by 2032, registering a compound annual growth rate (CAGR) of 6.5% during the forecast period. The primary growth factor driving this market is the increasing complexity of tax regulations and the need for businesses and individuals to minimize tax liabilities legally. As governments around the world continue to tighten tax laws and increase scrutiny, the demand for expert tax avoidance services is on the rise.
One significant growth factor in the tax avoidance services market is the rapid globalization of businesses. Companies operating in multiple countries face complex tax environments that require sophisticated strategies to ensure compliance while minimizing tax burdens. This has led to a surge in demand for tax advisory firms that specialize in international tax planning and cross-border tax avoidance strategies. Furthermore, the increasing number of high-net-worth individuals looking to manage their wealth efficiently is fueling the demand for personal tax avoidance services.
Another driving factor is the advancement in technology, which has enabled more sophisticated and efficient tax planning solutions. The integration of artificial intelligence (AI) and big data analytics in tax planning allows service providers to offer more precise and tailored strategies to their clients. These technological advancements help in identifying tax-saving opportunities more effectively and ensure compliance with continually changing tax laws, thus attracting more clients to utilize these services.
Additionally, the increasing awareness among businesses and individuals about the benefits of tax planning is propelling the market growth. Companies and individuals are becoming more proactive in seeking professional advice to navigate the intricate tax landscape. The shift in attitude towards tax planning—from being seen merely as a compliance requirement to being recognized as a strategic financial decision—has significantly boosted the market for tax avoidance services.
Regionally, North America holds a major share of the tax avoidance services market, followed by Europe and Asia Pacific. The stringent tax regulations in the United States and Canada, combined with a complex tax code, drive the high demand for tax avoidance services in North America. Europe follows closely due to its diverse and stringent tax laws across various countries. The Asia Pacific region is expected to witness the highest growth rate, driven by rapid economic development and increasing awareness about tax planning benefits among businesses and individuals in emerging economies like China and India.
The tax avoidance services market is segmented into corporate tax avoidance, personal tax avoidance, offshore tax avoidance, and others. Corporate tax avoidance services hold the largest share of the market due to the complex nature of corporate tax laws and the significant financial benefits that companies can achieve through effective tax planning. Large corporations with substantial revenue streams and multinational operations particularly benefit from these services, as they need to navigate various tax jurisdictions and take advantage of different tax incentives and deductions available globally.
Personal tax avoidance services are also a significant segment within the market. High-net-worth individuals and small business owners seek professional tax services to minimize their tax liabilities legally. These services include tax-efficient investment strategies, estate planning, and the use of tax-advantaged accounts. The demand for personal tax avoidance services is expected to continue growing as more individuals become aware of the potential savings and legal compliance offered by professional tax planning.
Offshore tax avoidance services cater to businesses and individuals looking to protect their income and assets from high domestic tax rates by utilizing offshore jurisdictions with favorable tax laws. These services have been under increasing scrutiny from governments worldwide, leading to more stringent regulations and reporting requirements. Despite regulatory challenges, the demand for offshore tax avoidance services remains strong, driven by the potential for significant tax savings and asset protection benefits.
The "others" segment includes various niche tax avoidance services that cater to specific needs, s
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The U.S. manufacturing sector plays a central role in the economy, accounting for 20% of U.S. capital investment, 60% of the nation's exports and 70% of business R&D. Overall, the sector's market size, measured in terms of revenue is worth roughly $6 trillion, making it a major industry to do business with. So which U.S. states are the biggest for manufacturing? This article will explore the nation's top manufacturing states, measured by number of employees, based on MNI's database of 400,000 U.S. manufacturing companies.
Data Analytics Market Size 2025-2029
The data analytics market size is forecast to increase by USD 288.7 billion, at a CAGR of 14.7% between 2024 and 2029.
The market is driven by the extensive use of modern technology in company operations, enabling businesses to extract valuable insights from their data. The prevalence of the Internet and the increased use of linked and integrated technologies have facilitated the collection and analysis of vast amounts of data from various sources. This trend is expected to continue as companies seek to gain a competitive edge by making data-driven decisions. However, the integration of data from different sources poses significant challenges. Ensuring data accuracy, consistency, and security is crucial as companies deal with large volumes of data from various internal and external sources. Additionally, the complexity of data analytics tools and the need for specialized skills can hinder adoption, particularly for smaller organizations with limited resources. Companies must address these challenges by investing in robust data management systems, implementing rigorous data validation processes, and providing training and development opportunities for their employees. By doing so, they can effectively harness the power of data analytics to drive growth and improve operational efficiency.
What will be the Size of the Data Analytics Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleIn the dynamic and ever-evolving the market, entities such as explainable AI, time series analysis, data integration, data lakes, algorithm selection, feature engineering, marketing analytics, computer vision, data visualization, financial modeling, real-time analytics, data mining tools, and KPI dashboards continue to unfold and intertwine, shaping the industry's landscape. The application of these technologies spans various sectors, from risk management and fraud detection to conversion rate optimization and social media analytics. ETL processes, data warehousing, statistical software, data wrangling, and data storytelling are integral components of the data analytics ecosystem, enabling organizations to extract insights from their data.
Cloud computing, deep learning, and data visualization tools further enhance the capabilities of data analytics platforms, allowing for advanced data-driven decision making and real-time analysis. Marketing analytics, clustering algorithms, and customer segmentation are essential for businesses seeking to optimize their marketing strategies and gain a competitive edge. Regression analysis, data visualization tools, and machine learning algorithms are instrumental in uncovering hidden patterns and trends, while predictive modeling and causal inference help organizations anticipate future outcomes and make informed decisions. Data governance, data quality, and bias detection are crucial aspects of the data analytics process, ensuring the accuracy, security, and ethical use of data.
Supply chain analytics, healthcare analytics, and financial modeling are just a few examples of the diverse applications of data analytics, demonstrating the industry's far-reaching impact. Data pipelines, data mining, and model monitoring are essential for maintaining the continuous flow of data and ensuring the accuracy and reliability of analytics models. The integration of various data analytics tools and techniques continues to evolve, as the industry adapts to the ever-changing needs of businesses and consumers alike.
How is this Data Analytics Industry segmented?
The data analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ComponentServicesSoftwareHardwareDeploymentCloudOn-premisesTypePrescriptive AnalyticsPredictive AnalyticsCustomer AnalyticsDescriptive AnalyticsOthersApplicationSupply Chain ManagementEnterprise Resource PlanningDatabase ManagementHuman Resource ManagementOthersGeographyNorth AmericaUSCanadaEuropeFranceGermanyUKMiddle East and AfricaUAEAPACChinaIndiaJapanSouth KoreaSouth AmericaBrazilRest of World (ROW)
By Component Insights
The services segment is estimated to witness significant growth during the forecast period.The market is experiencing significant growth as businesses increasingly rely on advanced technologies to gain insights from their data. Natural language processing is a key component of this trend, enabling more sophisticated analysis of unstructured data. Fraud detection and data security solutions are also in high demand, as companies seek to protect against threats and maintain customer trust. Data analytics platforms, including cloud-based offeri
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There's a need for information on large companies in this age of big data.
In this dataset you'll find info on 500 large American corporations and their business models.
This data comes from https://data.world/bgadoci/open-data-500-companies.