The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

Huge US Stocks prices + 1292 columns extra data from Indicators. This Dataset provides historical Open, High, Low, Close, and Volume (OHLCV) prices of stocks traded in the United States financial markets AND calculated 1292 columns of indicators. You can use all this hyge data for stock price predictions.

Columns with Momentum Indicator values ADX - Average Directional Movement Index ADXR - Average Directional Movement Index Rating APO - Absolute Price Oscillator AROON - Aroon AROONOSC - Aroon Oscillator BOP - Balance Of Power CCI - Commodity Channel Index CMO - Chande Momentum Oscillator DX - Directional Movement Index MACD - Moving Average Convergence/Divergence MACDEXT - MACD with controllable MA type MACDFIX - Moving Average Convergence/Divergence Fix 12/26 MFI - Money Flow Index MINUS_DI - Minus Directional Indicator MINUS_DM - Minus Directional Movement MOM - Momentum PLUS_DI - Plus Directional Indicator PLUS_DM - Plus Directional Movement PPO - Percentage Price Oscillator ROC - Rate of change : ((price/prevPrice)-1)*100 ROCP - Rate of change Percentage: (price-prevPrice)/prevPrice ROCR - Rate of change ratio: (price/prevPrice) ROCR100 - Rate of change ratio 100 scale: (price/prevPrice)*100 RSI - Relative Strength Index STOCH - Stochastic STOCHF - Stochastic Fast STOCHRSI - Stochastic Relative Strength Index TRIX - 1-day Rate-Of-Change (ROC) of a Triple Smooth EMA ULTOSC - Ultimate Oscillator WILLR - Williams' %R

Columns with Volatility Indicator values ATR - Average True Range NATR - Normalized Average True Range TRANGE - True Range

Columns with Volume Indicator values AD - Chaikin A/D Line ADOSC - Chaikin A/D Oscillator OBV - On Balance Volume

Columns with Overlap Studies values BBANDS - Bollinger Bands DEMA - Double Exponential Moving Average EMA - Exponential Moving Average HT_TRENDLINE - Hilbert Transform - Instantaneous Trendline KAMA - Kaufman Adaptive Moving Average MA - Moving average MAMA - MESA Adaptive Moving Average MAVP - Moving average with variable period MIDPOINT - MidPoint over period MIDPRICE - Midpoint Price over period SAR - Parabolic SAR SAREXT - Parabolic SAR - Extended SMA - Simple Moving Average T3 - Triple Exponential Moving Average (T3) TEMA - Triple Exponential Moving Average TRIMA - Triangular Moving Average WMA - Weighted Moving Average

Columns with Cycle Indicator values HT_DCPERIOD - Hilbert Transform - Dominant Cycle Period HT_DCPHASE - Hilbert Transform - Dominant Cycle Phase HT_PHASOR - Hilbert Transform - Phasor Components HT_SINE - Hilbert Transform - SineWave HT_TRENDMODE - Hilbert Transform - Trend vs Cycle Mode

If you want to download actual data - on today for example, then you can use python code from my github. tickers = ['CE.US', 'WELL.US', 'GRMN.US', 'IEX.US', 'CAG.US', 'BEN.US', 'ATO.US', 'WY.US', 'TSCO.US', 'COR.US', 'MOS.US', 'SWKS.US', 'ORCL.US', 'URI.US', 'INCY.US', 'MPC.US', 'HD.US', 'PPG.US', 'NUE.US', 'DDOG.US', 'HSIC.US', 'CAT.US', 'HSY.US', 'MKTX.US', 'CCEP.US', 'GWW.US', 'LEN.US', 'IFF.US', 'GL.US', 'MDB.US', 'SNPS.US', 'KR.US', 'DVN.US', 'SYY.US', 'USB.US', 'DRI.US', 'PARA.US', 'FMC.US', 'UBER.US', 'WRK.US', 'DLR.US', 'SO.US', 'AMGN.US', 'MA.US', 'STT.US', 'BWA.US', 'KVUE.US', 'GFS.US', 'BBY.US', 'BK.US', 'MRVL.US', 'VFC.US', 'EIX.US', 'ADSK.US', 'ZBH.US', 'MU.US', 'HUBB.US', 'PEAK.US', 'CVX.US', 'CPB.US', 'GILD.US', 'BXP.US', 'DD.US', 'MCD.US', 'KDP.US', 'GE.US', 'PKG.US', 'HST.US', 'WTW.US', 'XOM.US', 'ED.US', 'SPG.US', 'PFG.US', 'LVS.US', 'FAST.US', 'ROST.US', 'TTD.US', 'CNC.US', 'PGR.US', 'CMI.US', 'TEAM.US', 'MELI.US', 'BKR.US', 'EBAY.US', 'CPRT.US', 'MSFT.US', 'HOLX.US', 'ABBV.US', 'AMZN.US', 'FE.US', 'WYNN.US', 'KMI.US', 'APA.US', 'CRWD.US', 'DPZ.US', 'EQT.US', 'NOC.US', 'TAP.US', 'ETR.US', 'T.US', 'OMC.US', 'MTCH.US', 'TRMB.US', 'EXPE.US', 'DTE.US', 'PNR.US', 'LH.US', 'ALL.US', 'CTRA.US', 'VMC.US', 'XRAY.US', 'NWS.US', 'GOOGL.US', 'WEC.US', 'BIIB.US', 'LLY.US', 'BMY.US', 'STE.US', 'NI.US', 'MKC.US', 'AMT.US', 'CFG.US', 'LW.US', 'HIG.US', 'ETSY.US', 'AON.US', 'ULTA.US', 'DVA.US', 'LKQ.US', 'MPWR.US', 'TEL.US', 'FICO.US', 'CVS.US', 'CMA.US', 'NVDA.US', 'TDG.US', 'AWK.US', 'PSA.US', 'FOXA.US', 'ON.US', 'ODFL.US', 'NVR.US', 'ROP.US', 'TFX.US', 'HLT.US', 'EXPD.US', 'FOX.US', 'D.US', 'AMAT.US', 'AZO.US', 'DLTR.US', 'TT.US', 'SBUX.US', 'JNJ.US', 'HAS.US', 'DASH.US', 'NRG.US', 'JNPR.US', 'BIO.US', 'AMD.US', 'NFLX.US', 'VLTO.US', 'BRO.US', 'REGN.US', 'WRB.US', 'LRCX.US', 'SYK.US', 'MCO.US', 'CSGP.US', 'TROW.US', 'ETN.US', 'RTX.US', 'CRM.US', 'SIRI.US', 'UPS.US', 'HES.US', 'RSG.US', 'PEP.US', 'MET.US', 'HON.US', 'IQV.US', 'JPM.US', 'DG.US', 'CBRE.US', 'NDSN.US', 'DOW.US', 'SBAC.US', 'TSN.US', 'IT.US', 'WM.US', 'TPR.US', 'IBM.US', 'CHTR.US', 'HAL.US', 'ROL.US', 'FDS.US', 'SHW.US', 'EW.US', 'RJF.US', 'APH.US', 'AIZ.US', 'ZBRA.US', 'SRE.US', 'CTAS.US', 'PXD.US', 'MTD.US', 'NOW.US', 'MAS.US', 'FFIV.US', 'ELV.US', 'SYF.US', 'CSCO.US', 'APTV...

This dataset provides financial information for a selection of companies listed on the S&P 500 index in the United States. It includes key metrics such as last recorded stock prices, highest and lowest stock prices, absolute and percentage changes, and trading volumes. The data is collected at a specific point in time and offers insights into the stock market performance of S&P 500 companies.

The North America AI Dataset Licensing For Advertising And Marketing Market would witness market growth of 26.7% CAGR during the forecast period (2025-2032). The US market dominated the North America AI Dataset Licensing For Advertising And Marketing Market by Country in 2024, and would continue to

According to Cognitive Market Research, the global AI Training Dataset Market size will be USD 2962.4 million in 2025. It will expand at a compound annual growth rate (CAGR) of 28.60% from 2025 to 2033.

North America held the major market share for more than 37% of the global revenue with a market size of USD 1096.09 million in 2025 and will grow at a compound annual growth rate (CAGR) of 26.4% from 2025 to 2033.
Europe accounted for a market share of over 29% of the global revenue, with a market size of USD 859.10 million.
APAC held a market share of around 24% of the global revenue with a market size of USD 710.98 million in 2025 and will grow at a compound annual growth rate (CAGR) of 30.6% from 2025 to 2033.
South America has a market share of more than 3.8% of the global revenue, with a market size of USD 112.57 million in 2025 and will grow at a compound annual growth rate (CAGR) of 27.6% from 2025 to 2033.
Middle East had a market share of around 4% of the global revenue and was estimated at a market size of USD 118.50 million in 2025 and will grow at a compound annual growth rate (CAGR) of 27.9% from 2025 to 2033.
Africa had a market share of around 2.20% of the global revenue and was estimated at a market size of USD 65.17 million in 2025 and will grow at a compound annual growth rate (CAGR) of 28.3% from 2025 to 2033.
Data Annotation category is the fastest growing segment of the AI Training Dataset Market

Market Dynamics of AI Training Dataset Market

Key Drivers for AI Training Dataset Market

Government-Led Open Data Initiatives Fueling AI Training Dataset Market Growth

In recent years, Government-initiated open data efforts have strongly driven the development of the AI Training Dataset Market through offering affordable, high-quality datasets that are vital in training sound AI models. For instance, the U.S. government's drive for openness and innovation can be seen through portals such as Data.gov, which provides an enormous collection of datasets from many industries, ranging from healthcare, finance, and transportation. Such datasets are basic building blocks in constructing AI applications and training models using real-world data. In the same way, the platform data.gov.uk, run by the U.K. government, offers ample datasets to aid AI research and development, creating an environment that is supportive of technological growth. By releasing such information into the public domain, governments not only enhance transparency but also encourage innovation in the AI industry, resulting in greater demand for training datasets and helping to drive the market's growth.

India's IndiaAI Datasets Platform Accelerates AI Training Dataset Market Growth

India's upcoming launch of the IndiaAI Datasets Platform in January 2025 is likely to greatly increase the AI Training Dataset Market. The project, which is part of the government's ?10,000 crore IndiaAI Mission, will establish an open-source repository similar to platforms such as HuggingFace to enable developers to create, train, and deploy AI models. The platform will collect datasets from central and state governments and private sector organizations to provide a wide and rich data pool. Through improved access to high-quality, non-personal data, the platform is filling an important requirement for high-quality datasets for training AI models, thus driving innovation and development in the AI industry. This public initiative reflects India's determination to become a global AI hub, offering the infrastructure required to facilitate startups, researchers, and businesses in creating cutting-edge AI solutions. The initiative not only simplifies data access but also creates a model for public-private partnerships in AI development.

Restraint Factor for the AI Training Dataset Market

Data Privacy Regulations Impeding AI Training Dataset Market Growth

Strict data privacy laws are coming up as a major constraint in the AI Training Dataset Market since governments across the globe are establishing legislation to safeguard personal data. In the European Union, explicit consent for using personal data is required under the General Data Protection Regulation (GDPR), reducing the availability of datasets for training AI. Likewise, the data protection regulator in Brazil ordered Meta and others to stop the use of Brazilian personal data in training AI models due to dangers to individuals' funda...

United States graph database market size reached USD 537.9 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 2,754.7 Million by 2033, exhibiting a growth rate (CAGR) of 19.7% during 2025-2033​. The widespread adoption of this innovative approach, as it offers numerous advantages over traditional database solutions in terms of computing power, storage, indexing, querying, etc., is primarily driving the market growth across the country.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for ​2025-2033​. Our report has categorized the market based on component, type of database, analysis type, deployment model, application, and industry vertical.

Labor Force Participation Rate in the United States increased to 62.40 percent in September from 62.30 percent in August of 2025. This dataset provides the latest reported value for - United States Labor Force Participation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Dataset Versioning for Analytics Market Outlook

According to our latest research, the Global Dataset Versioning for Analytics market size was valued at $1.3 billion in 2024 and is projected to reach $6.7 billion by 2033, expanding at a robust CAGR of 20.1% during the forecast period of 2025–2033. The primary driver fueling this growth is the exponential rise in data-driven decision-making across industries, necessitating advanced solutions for managing, tracking, and auditing datasets throughout their lifecycle. As organizations increasingly rely on analytics for business intelligence, the need for robust dataset versioning tools to ensure data integrity, compliance, and reproducibility has become paramount, propelling the market’s rapid expansion globally.

Regional Outlook

North America currently commands the largest share of the global Dataset Versioning for Analytics market, accounting for nearly 40% of the total market value in 2024. This dominance is underpinned by the region’s mature technology ecosystem, high adoption rates of advanced analytics platforms, and a strong presence of leading software vendors and cloud service providers. The United States, in particular, has been at the forefront due to its robust regulatory frameworks around data governance and the proliferation of data-centric enterprises in sectors such as BFSI, healthcare, and IT. Additionally, ongoing investments in digital transformation and the early embrace of machine learning and AI-driven analytics further cement North America’s leadership position in this market.

The Asia Pacific region is poised to be the fastest-growing market, with an anticipated CAGR of 23.4% between 2025 and 2033. This rapid acceleration is driven by the digitalization wave sweeping across emerging economies such as China, India, and Southeast Asian nations. Massive investments in cloud infrastructure, government-backed data localization policies, and the burgeoning need for scalable analytics solutions among SMEs are key growth catalysts. Moreover, the region’s expanding e-commerce, fintech, and healthcare sectors are generating unprecedented volumes of data, prompting organizations to adopt sophisticated dataset versioning tools to maintain data quality, compliance, and auditability. Strategic partnerships between global technology leaders and local enterprises are also fostering innovation and adoption.

Emerging economies in Latin America and the Middle East & Africa are experiencing steady but comparatively slower adoption of dataset versioning solutions. Key challenges include limited digital infrastructure, budget constraints, and a shortage of skilled data professionals. However, localized demand is gradually rising as governments and enterprises recognize the importance of robust data management for regulatory compliance and digital competitiveness. In these regions, international vendors are collaborating with local IT firms to tailor solutions that address unique market needs, while policy reforms aimed at data privacy and security are beginning to create a more conducive environment for adoption. Despite current hurdles, these markets represent significant untapped potential over the long term.

Report Scope

Snapshot img

Graph Database Market Size 2025-2029

The graph database market size is valued to increase by USD 11.24 billion, at a CAGR of 29% from 2024 to 2029. Open knowledge network gaining popularity will drive the graph database market.

Market Insights

North America dominated the market and accounted for a 46% growth during the 2025-2029.
By End-user - Large enterprises segment was valued at USD 1.51 billion in 2023
By Type - RDF segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 670.01 million 
Market Future Opportunities 2024: USD 11235.10 million
CAGR from 2024 to 2029 : 29%

Market Summary

The market is experiencing significant growth due to the increasing demand for low-latency query capabilities and the ability to handle complex, interconnected data. Graph databases are deployed in both on-premises data centers and cloud regions, providing flexibility for businesses with varying IT infrastructures. One real-world business scenario where graph databases excel is in supply chain optimization. In this context, graph databases can help identify the shortest path between suppliers and consumers, taking into account various factors such as inventory levels, transportation routes, and demand patterns. This can lead to increased operational efficiency and reduced costs.
However, the market faces challenges such as the lack of standardization and programming flexibility. Graph databases, while powerful, require specialized skills to implement and manage effectively. Additionally, the market is still evolving, with new players and technologies emerging regularly. Despite these challenges, the potential benefits of graph databases make them an attractive option for businesses seeking to gain a competitive edge through improved data management and analysis.

What will be the size of the Graph Database Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

The market is an evolving landscape, with businesses increasingly recognizing the value of graph technology for managing complex and interconnected data. According to recent research, the adoption of graph databases is projected to grow by over 20% annually, surpassing traditional relational databases in certain use cases. This trend is particularly significant for industries requiring advanced data analysis, such as finance, healthcare, and telecommunications. Compliance is a key decision area where graph databases offer a competitive edge. By modeling data as nodes and relationships, organizations can easily trace and analyze interconnected data, ensuring regulatory requirements are met. Moreover, graph databases enable real-time insights, which is crucial for budgeting and product strategy in today's fast-paced business environment.
Graph databases also provide superior performance compared to traditional databases, especially in handling complex queries involving relationships and connections. This translates to significant time and cost savings, making it an attractive option for businesses seeking to optimize their data management infrastructure. In conclusion, the market is experiencing robust growth, driven by its ability to handle complex data relationships and offer real-time insights. This trend is particularly relevant for industries dealing with regulatory compliance and seeking to optimize their data management infrastructure.

Unpacking the Graph Database Market Landscape

In today's data-driven business landscape, the adoption of graph databases has surged due to their unique capabilities in handling complex network data modeling. Compared to traditional relational databases, graph databases offer a significant improvement in query performance for intricate relationship queries, with some reports suggesting up to a 500% increase in query response time. Furthermore, graph databases enable efficient data lineage tracking, ensuring regulatory compliance and enhancing data version control. Graph databases, such as property graph models and RDF databases, facilitate node relationship management and real-time graph processing, making them indispensable for industries like finance, healthcare, and social media. With the rise of distributed and knowledge graph databases, organizations can achieve scalability and performance improvements, handling massive datasets with ease. Security, indexing, and deployment are essential aspects of graph databases, ensuring data integrity and availability. Query performance tuning and graph analytics libraries further enhance the value of graph databases in data integration and business intelligence applications. Ultimately, graph databases offer a powerful alternative to NoSQL databases, providing a more flexible and efficient approach to managing complex data relationships.

Key Market Drivers Fueling Growth

The growing popularity o

The global ai training dataset market size is set to increase from USD 3.34 billion in 2024 to USD 15.78 billion by 2034, with a projected CAGR exceeding 16.8% from 2025 to 2034. Top companies in the industry include Google, LLC, Deep Vision Data, Cogito Tech LLC, Appen Limited, Samasource, Lionbridge Technologies,, Microsoft, Alegion, Amazon Web Services,, Scale AI.

The global AI training dataset market size is projected to grow from USD 2.81 billion in 2025 to USD 12.75 billion by 2033, exhibiting a CAGR of 20.8%.
Report Scope:

Employment Rate in the United States increased to 59.70 percent in September from 59.60 percent in August of 2025. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Dataset Privacy Scanning Market Outlook

According to our latest research, the Global Dataset Privacy Scanning market size was valued at $1.6 billion in 2024 and is projected to reach $6.2 billion by 2033, expanding at a remarkable CAGR of 16.7% during the forecast period of 2025–2033. One of the primary factors propelling the growth of this market globally is the exponential increase in data generation across sectors, coupled with the mounting regulatory pressure to ensure data privacy and compliance. As organizations handle more sensitive and personally identifiable information, the need for robust dataset privacy scanning solutions has become critical to mitigate risks, avoid costly breaches, and maintain consumer trust. This heightened awareness of privacy protection, along with the evolving regulatory landscape, is catalyzing rapid adoption and innovation within the dataset privacy scanning market.

Regional Outlook

North America currently commands the largest share of the global dataset privacy scanning market, accounting for over 38% of the total market value in 2024. This dominance is attributed to the region's mature digital infrastructure, early adoption of advanced privacy technologies, and the presence of stringent privacy regulations such as the California Consumer Privacy Act (CCPA) and the Health Insurance Portability and Accountability Act (HIPAA). The United States, in particular, is home to a large number of technology giants and data-driven enterprises that have prioritized privacy scanning to safeguard sensitive information. The region also benefits from a robust ecosystem of cybersecurity vendors and high levels of investment in privacy-enhancing technologies, further driving market growth. Additionally, the proactive stance of North American organizations towards compliance and risk management has fostered a culture where dataset privacy scanning is not just a regulatory requirement but a core business imperative.

The Asia Pacific region is emerging as the fastest-growing market for dataset privacy scanning, with a projected CAGR of 19.2% from 2025 to 2033. This rapid expansion is fueled by the digital transformation initiatives sweeping across major economies such as China, India, Japan, and South Korea. The proliferation of smartphones, cloud computing, and IoT devices has led to an unprecedented surge in data generation, necessitating advanced privacy solutions. Governments in the region are also enacting stricter data protection laws, such as India's Personal Data Protection Bill and China’s Personal Information Protection Law, compelling organizations to invest in privacy scanning tools. Furthermore, the increasing awareness among enterprises regarding the reputational and financial risks of data breaches is accelerating the adoption of dataset privacy scanning solutions, especially in sectors like BFSI, healthcare, and IT services.

Emerging economies in Latin America, the Middle East, and Africa are witnessing a gradual yet steady adoption of dataset privacy scanning solutions. While these regions currently represent a smaller share of the global market, their potential is significant due to growing digitalization, increasing internet penetration, and the rising importance of data privacy in government and enterprise operations. However, these markets face unique challenges, including limited technical expertise, budget constraints, and uneven enforcement of privacy regulations. Localized demand is often shaped by sector-specific needs, such as protecting citizen data in government agencies or securing financial transactions in the banking sector. As regulatory frameworks mature and organizations become more privacy-conscious, adoption rates are expected to rise, presenting attractive opportunities for vendors willing to invest in education, training, and localized product offerings.

Report Scope

Dataset Versioning Platform Market Outlook

According to our latest research, the global dataset versioning platform market size reached USD 1.04 billion in 2024, driven by the surging demand for robust data management solutions across industries. The market is anticipated to grow at a CAGR of 19.2% over the forecast period, propelling the market to a projected value of USD 4.58 billion by 2033. This remarkable growth is fueled by the increasing complexity of data-driven workflows, the proliferation of machine learning and artificial intelligence initiatives, and the necessity for regulatory compliance in data handling. As per our latest research findings, organizations globally are investing heavily in dataset versioning platforms to streamline collaboration, ensure data integrity, and accelerate innovation in analytics and AI projects.

The rapid expansion of the dataset versioning platform market is fundamentally underpinned by the exponential growth in data volumes and the rising complexity of data pipelines across enterprises. With the surge in machine learning, artificial intelligence, and data science applications, organizations are grappling with the challenge of tracking, managing, and reproducing multiple versions of datasets throughout the model development lifecycle. Dataset versioning platforms address these challenges by enabling seamless tracking of changes, lineage, and metadata, thereby ensuring transparency, reproducibility, and collaboration among data teams. Furthermore, as businesses increasingly adopt cloud-based and hybrid infrastructures, the need for scalable and interoperable data management solutions has become more critical, further propelling the adoption of dataset versioning platforms worldwide.

Another significant growth driver for the dataset versioning platform market is the mounting pressure on organizations to comply with stringent data governance and regulatory requirements. Regulations such as GDPR, CCPA, and industry-specific mandates necessitate meticulous tracking of data usage, lineage, and access controls. Dataset versioning platforms provide organizations with the tools to maintain comprehensive audit trails, enforce data governance policies, and demonstrate compliance with regulatory standards. This capability is particularly vital in highly regulated sectors such as healthcare, BFSI, and government, where data integrity and traceability are paramount. As a result, enterprises are prioritizing investments in dataset versioning solutions to mitigate compliance risks and uphold data quality standards.

The proliferation of collaborative and cross-functional data science initiatives is also catalyzing the growth of the dataset versioning platform market. In modern enterprises, data science projects often involve multiple teams working concurrently on diverse datasets, models, and experiments. Dataset versioning platforms facilitate seamless collaboration by enabling users to manage, share, and synchronize dataset versions in real time, regardless of geographical location. This fosters innovation, accelerates time-to-market, and enhances productivity by eliminating data silos and reducing the risk of errors associated with manual version control. As organizations strive to build data-driven cultures and scale their analytics capabilities, the demand for advanced dataset versioning solutions is poised to surge.

From a regional perspective, North America continues to dominate the dataset versioning platform market, accounting for the largest revenue share in 2024. The region's leadership is attributed to the early adoption of advanced analytics, AI, and cloud technologies by enterprises across sectors such as IT & telecommunications, BFSI, and healthcare. In addition, the presence of major technology providers and a robust ecosystem of data-driven startups further bolster market growth in North America. Meanwhile, Asia Pacific is emerging as the fastest-growing region, fueled by rapid digital transformation, increasing investments in AI and big data, and the expansion of the technology sector in countries like China, India, and Japan. Europe, Latin America, and the Middle East & Africa also present significant growth opportunities, driven by evolving regulatory landscapes and the rising emphasis on data-driven decision-making.

Component Analysis

The dataset versioning platform market is segmented by component into software and services, ea

In the fourth quarter of 2024, TikTok generated around 186 million downloads from users worldwide. Initially launched in China first by ByteDance as Douyin, the short-video format was popularized by TikTok and took over the global social media environment in 2020. In the first quarter of 2020, TikTok downloads peaked at over 313.5 million worldwide, up by 62.3 percent compared to the first quarter of 2019.

              TikTok interactions: is there a magic formula for content success?

              In 2024, TikTok registered an engagement rate of approximately 4.64 percent on video content hosted on its platform. During the same examined year, the social video app recorded over 1,100 interactions on average. These interactions were primarily composed of likes, while only recording less than 20 comments per piece of content on average in 2024.
              The platform has been actively monitoring the issue of fake interactions, as it removed around 236 million fake likes during the first quarter of 2024. Though there is no secret formula to get the maximum of these metrics, recommended video length can possibly contribute to the success of content on TikTok.
              It was recommended that tiny TikTok accounts with up to 500 followers post videos that are around 2.6 minutes long as of the first quarter of 2024. While, the ideal video duration for huge TikTok accounts with over 50,000 followers was 7.28 minutes. The average length of TikTok videos posted by the creators in 2024 was around 43 seconds.

              What’s trending on TikTok Shop?

              Since its launch in September 2023, TikTok Shop has become one of the most popular online shopping platforms, offering consumers a wide variety of products. In 2023, TikTok shops featuring beauty and personal care items sold over 370 million products worldwide.
              TikTok shops featuring womenswear and underwear, as well as food and beverages, followed with 285 and 138 million products sold, respectively. Similarly, in the United States market, health and beauty products were the most-selling items,
              accounting for 85 percent of sales made via the TikTok Shop feature during the first month of its launch. In 2023, Indonesia was the market with the largest number of TikTok Shops, hosting over 20 percent of all TikTok Shops. Thailand and Vietnam followed with 18.29 and 17.54 percent of the total shops listed on the famous short video platform, respectively.

The Gross Domestic Product (GDP) in the United States was worth 29184.89 billion US dollars in 2024, according to official data from the World Bank. The GDP value of the United States represents 27.49 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Consumer Spending in the United States increased to 16445.70 USD Billion in the second quarter of 2025 from 16345.80 USD Billion in the first quarter of 2025. This dataset provides the latest reported value for - United States Consumer Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Gross Domestic Product (GDP) in the United States expanded 3.80 percent in the second quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - United States GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Unlock the power of real-time data! Explore the booming real-time index database market, projected to reach $32 billion by 2033. Discover key trends, leading companies (Elastic, AWS, Splunk), and regional insights in this comprehensive market analysis.