United States US: Market Capitalization: Listed Domestic Companies data was reported at 32,120.703 USD bn in 2017. This records an increase from the previous number of 27,352.201 USD bn for 2016. United States US: Market Capitalization: Listed Domestic Companies data is updated yearly, averaging 11,322.354 USD bn from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 32,120.703 USD bn in 2017 and a record low of 1,263.561 USD bn in 1981. United States US: Market Capitalization: Listed Domestic Companies data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Financial Sector. Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

United States US: Market Capitalization: Listed Domestic Companies: % of GDP data was reported at 165.651 % in 2017. This records an increase from the previous number of 146.862 % for 2016. United States US: Market Capitalization: Listed Domestic Companies: % of GDP data is updated yearly, averaging 102.679 % from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 165.651 % in 2017 and a record low of 39.352 % in 1981. United States US: Market Capitalization: Listed Domestic Companies: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Financial Sector. Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

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.

Hawaii International Study Market Share Compare To US

Dividend-Per-Share Time Series for Cboe Global Markets Inc. Cboe Global Markets, Inc., through its subsidiaries, operates as an options exchange in the United States and internationally. It operates through six segments: Options, North American Equities, Europe and Asia Pacific, Futures, Global FX, and Digital. The Options segment trades in listed market indices. Its North American Equities segment trades in listed U.S. and Canadian equities. This segment also offers exchange-traded products (ETP) transaction and listing services. The Europe and Asia Pacific segment provides pan-European listed equities and derivatives transaction services, ETPs, exchange-traded commodities, and international depository receipts, as well as ETP listings and clearing services. Its Futures segment offers and trades in futures and other related products. The Global FX segment provides institutional foreign exchange (FX) trading and non-deliverable forward FX transactions services. Its Digital segment offers Cboe Digital, an operator of the United States based digital asset spot market and a regulated futures exchange; Cboe Clear Digital, a regulated clearinghouse; licensing of proprietary market data; and access and capacity services. It has strategic relationships with S&P Dow Jones Indices, LLC; Frank Russell Company; FTSE International Limited; and MSCI Inc. The company was formerly known as CBOE Holdings, Inc. and changed its name to Cboe Global Markets, Inc. in October 2017. Cboe Global Markets, Inc. was founded in 1973 and is headquartered in Chicago, Illinois.

In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing ** percent.

Japan's main stock market index, the JP225, rose to 43766 points on September 8, 2025, gaining 1.74% from the previous session. Over the past month, the index has climbed 2.45% and is up 20.85% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on September of 2025.

By 2034, the Database Security Market is expected to reach a valuation of USD 68.3 billion, expanding at a healthy CAGR of 15.7%.

Smart Insider’s Global Share Buyback Database offers invaluable insights to investors. We provide detailed, up-to-date share buyback data covering over 55,000 companies globally and over 12,200 from US & Canada (North America), that’s every company that reports Buybacks through regulatory processes.

Our Share buyback data includes detailed information on all major buyback transactions including source announcements and derived analysis fields. Our platform adds a visual representation of the data, allowing investors to quickly identify patterns and make decisions based on their findings.

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We provide full customization of reports delivered by desktop, through feeds, or alerts. Our quant clients can receive data in a variety of formats such as CSV, XML or XLSX via SFTP, API or Snowflake.

Sample dataset for Desktop Service has been provided with limited fields. Upon request, we can provide a detailed Quant sample.

Tags: Equity Market Data, Stock Market Data, Corporate Actions Data, Corporate Buyback Data, Company Financial Data, Insider Trading Data

Enterprise Database Market Outlook

The enterprise database market size is projected to see significant growth over the coming years, with a valuation of USD 91.5 billion in 2023, and is expected to reach USD 171.1 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.2% during the forecast period. This growth is driven by the increasing demand for efficient data management solutions across various industries and the rise in digital transformation initiatives that require robust database systems. The growth factors include advancements in cloud computing, the growing need for real-time data analytics, and the integration of artificial intelligence and machine learning in data management.

One of the primary growth factors in the enterprise database market is the increasing adoption of cloud-based solutions. Organizations are rapidly moving towards cloud environments due to their scalability, cost-effectiveness, and flexibility. Cloud databases offer better accessibility and reduced infrastructure costs, making them an attractive option for businesses of all sizes. Additionally, with the proliferation of data generated from various sources such as social media, IoT devices, and online transactions, the need for scalable and efficient data storage solutions is more critical than ever. Cloud-based databases provide the requisite infrastructure to handle this data surge efficiently, further propelling market growth.

Another significant driver for the enterprise database market is the rise of big data analytics. As businesses strive to harness the power of data for insights and decision-making, the demand for robust database systems capable of handling large volumes of data has intensified. Enterprises are looking for databases that not only store data but also enable advanced analytics to derive actionable insights. This trend is particularly prevalent in industries like retail, healthcare, and BFSI, where data-driven decisions can lead to improved customer experiences, better risk management, and optimized operations. The integration of artificial intelligence and machine learning with enterprise databases is further enhancing their capabilities, allowing for predictive analytics and automating data processing tasks.

The growing emphasis on data security and compliance is also contributing to the expansion of the enterprise database market. With the increasing incidences of data breaches and stringent regulatory requirements, organizations are prioritizing secure database solutions that offer robust data protection measures. Databases with built-in security features such as encryption, access control, and regular auditing are in high demand. Furthermore, industry-specific compliance standards like GDPR in Europe and HIPAA in the US are driving businesses to invest in databases that ensure compliance and mitigate the risk of penalties, thus fueling market growth.

Regionally, North America is expected to dominate the enterprise database market due to the presence of major technology companies and early adoption of advanced technologies. The Asia Pacific region, however, is anticipated to witness the fastest growth rate during the forecast period, driven by rapid industrialization, the proliferation of SMEs, and increasing investments in digital infrastructure by countries like China, India, and Japan. The growing focus on smart cities and digital transformation initiatives in these countries is further boosting the demand for enterprise databases. Europe also holds a significant share of the market, with widespread adoption of cloud technologies and heightened focus on data privacy and security driving market expansion.

Industrial Databases play a crucial role in the enterprise database market, particularly as industries undergo digital transformation. These databases are designed to manage and process large volumes of industrial data generated from various sources such as manufacturing processes, supply chain operations, and IoT devices. The ability to handle real-time data analytics and provide actionable insights is essential for industries aiming to optimize operations and enhance productivity. As industries continue to adopt smart manufacturing practices, the demand for industrial databases that offer scalability, reliability, and integration with advanced technologies like AI and machine learning is on the rise. This trend is expected to contribute significantly to the growth of the enterprise database market, as businesses seek to leverage data for competitive advantage and operational efficiency.

Crude Oil fell to 61.97 USD/Bbl on September 5, 2025, down 2.38% from the previous day. Over the past month, Crude Oil's price has fallen 3.70%, and is down 8.42% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on September of 2025.

Cloud Computing Market Growth | Industry Analysis, Size & Forecast Report

Dataset updated: Jun 27, 2024

Dataset authored and provided by: Mordor Intelligence

License: https://www.mordorintelligence.com/privacy-policy

Time period covered: 2019 - 2029

Area covered: Global

Variables measured: CAGR, Market size, Market share analysis, Global trends, Industry forecast

Description: The Cloud Computing Market size is estimated at USD 0.68 trillion in 2024, and is expected to reach USD 1.44 trillion by 2029, growing at a CAGR of 16.40% during the forecast period (2024-2029).

Report Attribute

Quantitative Units: Revenue in USD Billion, Volumes in Units, Pricing in USD

Regions and Countries Covered:

Industry Segmentation Covered:

By Cloud Computing: IaaS, SaaS, PaaS

By End-User: IT and Telecom, BFSI, Retail and Consumer Goods, Manufacturing, Healthcare, Media and Entertainment

Market Players Covered: Amazon Web Services, Google LLC, Microsoft Corporation, Alibaba Cloud, and Salesforce

The global graph database market growth will be propelled through 2034 at a massive CAGR of 19.4%. With the growing data usage and the rising data storage requirements, the global graph database market size will likely inflate from US$ 3.17 billion to US$ 18.68 billion in the next decade. Technological advancements also fuel the growth prospects of the industry.

Growing Technology to Enlarge the Global Graph Database Market Size

Country-wise Analysis

Category-wise Insights

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...

The size of the US Data Center Industry market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 6.00% during the forecast period.A data center is a facility that keeps computer systems and networking equipment housed, processing, and transmitting data. It represents the infrastructure on which organizations carry out their IT operations and host websites, email servers, and database servers. Data centers, therefore, are imperative to any size business: small start-ups or large enterprise since they enable digital transformation, thus making business applications available.The US data center industry is one of the largest and most developed in the world. The country boasts robust digital infrastructure, abundant energy resources, and a highly skilled workforce, making it an attractive destination for data center operators. Some of the drivers of the US data center market are the growing trend of cloud computing, internet of things (IoT), and high-performance computing requirements.Top-of-the-line technology companies along with cloud service providers set up major data center footprints in the US, mostly in key regions such as Silicon Valley and Northern Virginia, Dallas, for example. These data centers support applications such as e-commerce-a manner of accessing streaming services-whose development depends on its artificial intelligence financial service type. As demand increases concerning data center capacity, therefore, the US data centre industry will continue to prosper as the world's hub for reliable and scalable solutions. Recent developments include: February 2023: The expansion of Souther Telecom to its data center in Atlanta, Georgia, at 345 Courtland Street, was announced by H5 Data Centers, a colocation and wholesale data center operator. One of the top communication service providers in the southeast is Southern Telecom. Customers in Alabama, Georgia, Florida, and Mississippi will receive better service due to the expansion of this low-latency fiber optic network.December 2022: DigitalBridge Group, Inc. and IFM Investors announced completing their previously announced transaction in which funds affiliated with the investment management platform of DigitalBridge and an affiliate of IFM Investors acquired all outstanding common shares of Switch, Inc. for USD approximately USD 11 billion, including the repayment of outstanding debt.October 2022: Three additional data centers in Charlotte, Nashville, and Louisville have been made available to Flexential's cloud customers, according to the supplier of data center colocation, cloud computing, and connectivity. By the end of the year, clients will have access to more than 220MW of hybrid IT capacity spread across 40 data centers in 19 markets, which is well aligned with Flexential's 2022 ambition to add 33MW of new, sustainable data center development projects.. Key drivers for this market are: , High Mobile penetration, Low Tariff, and Mature Regulatory Authority; Successful Privatization and Liberalization Initiatives. Potential restraints include: , Difficulties in Customization According to Business Needs. Notable trends are: OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT.

Snapshot img

Data Science Platform Market Size 2025-2029

The data science platform market size is valued to increase USD 763.9 million, at a CAGR of 40.2% from 2024 to 2029. Integration of AI and ML technologies with data science platforms will drive the data science platform market.

Major Market Trends & Insights

North America dominated the market and accounted for a 48% growth during the forecast period.
By Deployment - On-premises segment was valued at USD 38.70 million in 2023
By Component - Platform segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 1.00 million
Market Future Opportunities: USD 763.90 million
CAGR : 40.2%
North America: Largest market in 2023

Market Summary

The market represents a dynamic and continually evolving landscape, underpinned by advancements in core technologies and applications. Key technologies, such as machine learning and artificial intelligence, are increasingly integrated into data science platforms to enhance predictive analytics and automate data processing. Additionally, the emergence of containerization and microservices in data science platforms enables greater flexibility and scalability. However, the market also faces challenges, including data privacy and security risks, which necessitate robust compliance with regulations.
According to recent estimates, the market is expected to account for over 30% of the overall big data analytics market by 2025, underscoring its growing importance in the data-driven business landscape.

What will be the Size of the Data Science Platform Market during the forecast period?

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How is the Data Science Platform Market Segmented and what are the key trends of market segmentation?

The data science platform industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  On-premises
  Cloud


Component

  Platform
  Services


End-user

  BFSI
  Retail and e-commerce
  Manufacturing
  Media and entertainment
  Others


Sector

  Large enterprises
  SMEs


Application

  Data Preparation
  Data Visualization
  Machine Learning
  Predictive Analytics
  Data Governance
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.

In the dynamic and evolving the market, big data processing is a key focus, enabling advanced model accuracy metrics through various data mining methods. Distributed computing and algorithm optimization are integral components, ensuring efficient handling of large datasets. Data governance policies are crucial for managing data security protocols and ensuring data lineage tracking. Software development kits, model versioning, and anomaly detection systems facilitate seamless development, deployment, and monitoring of predictive modeling techniques, including machine learning algorithms, regression analysis, and statistical modeling. Real-time data streaming and parallelized algorithms enable real-time insights, while predictive modeling techniques and machine learning algorithms drive business intelligence and decision-making.

Cloud computing infrastructure, data visualization tools, high-performance computing, and database management systems support scalable data solutions and efficient data warehousing. ETL processes and data integration pipelines ensure data quality assessment and feature engineering techniques. Clustering techniques and natural language processing are essential for advanced data analysis. The market is witnessing significant growth, with adoption increasing by 18.7% in the past year, and industry experts anticipate a further expansion of 21.6% in the upcoming period. Companies across various sectors are recognizing the potential of data science platforms, leading to a surge in demand for scalable, secure, and efficient solutions.

API integration services and deep learning frameworks are gaining traction, offering advanced capabilities and seamless integration with existing systems. Data security protocols and model explainability methods are becoming increasingly important, ensuring transparency and trust in data-driven decision-making. The market is expected to continue unfolding, with ongoing advancements in technology and evolving business needs shaping its future trajectory.

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The On-premises segment was valued at USD 38.70 million in 2019 and showed

China's main stock market index, the SHANGHAI, rose to 3827 points on September 8, 2025, gaining 0.38% from the previous session. Over the past month, the index has climbed 4.92% and is up 39.85% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on September of 2025.

Global Genomic Data Set for Real World Evidence (RWE) Applications Market size is anticipated to reach USD 2124.4 Million by 2034, at a CAGR of 16.2% during the projected period.

Cocoa rose to 7,237.64 USD/T on September 5, 2025, up 0.45% from the previous day. Over the past month, Cocoa's price has fallen 14.55%, but it is still 2.21% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Cocoa - values, historical data, forecasts and news - updated on September of 2025.

Snapshot img

Stock Images Market Size 2025-2029

The stock images market size is forecast to increase by USD 1.28 billion, at a CAGR of 5.3% between 2024 and 2029. The market is experiencing significant growth, driven by the increasing popularity of visual content in digital and social media marketing.

Major Market Trends & Insights

North America dominated the market and accounted for a 43% share in 2023.
The market is expected to grow significantly in Europe region as well over the forecast period.
Based on the Application, the editorial segment led the market and was valued at USD 2.14 billion of the global revenue in 2023.
Based on the Product, the still images segment accounted for the largest market revenue share in 2023.

Market Size & Forecast

Market Opportunities: USD 4.34 Billion
Future Opportunities: USD 1.28 Billion
CAGR (2024-2029): 5.3%
North America: Largest market in 2023

Businesses are investing heavily in related portfolios to enhance their online presence and engage customers effectively. However, this trend comes with challenges. Profit margins are declining due to the increasing competition and availability of free or low-cost stock images. Companies must navigate this competitive landscape by offering high-quality, unique, and exclusive images to differentiate themselves and maintain profitability. To capitalize on this market, businesses should focus on creating a strong brand identity through visually appealing content and leveraging advanced image search technologies to cater to specific customer needs.

Additionally, exploring niche markets and offering customized solutions can provide opportunities for growth and differentiation. Overall, the market presents both opportunities and challenges, requiring strategic planning and innovative approaches to succeed.

What will be the Size of the Stock Images 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.
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The market continues to evolve, driven by advancements in technology and shifting consumer preferences. Image format conversion, a key trend, enables businesses to adapt their visual content for various platforms and devices. Image database solutions, equipped with semantic image search, facilitate efficient content discovery. Digital asset management systems, enhanced by AI-powered image tagging and metadata extraction, streamline content organization and access. Image manipulation detection ensures authenticity and trust in visual content. Metadata tagging systems and photographic licensing models enable effective rights management. High-resolution imaging and image editing software cater to the demand for visually appealing content. Large-scale image storage solutions address the increasing volume of visual data. The commercial segment is the second largest segment of the application and was valued at USD 1.99 billion in 2023.

Image resolution scaling, panoramic image stitching, and image compression algorithms optimize content for efficient transmission and display. Visual search technology and 360-degree image creation offer innovative ways to engage consumers. Image enhancement filters, image recognition software, vector graphics optimization, and image archival systems ensure content remains relevant and accessible. Industry growth is expected to reach 12% annually, reflecting the continuous demand for visual content in various sectors. For instance, a leading e-commerce company reported a 25% increase in sales after implementing AI-driven image tagging and metadata management. This underscores the importance of optimizing visual content for discoverability and accessibility.

How is this Stock Images Industry segmented?

The stock images industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  Editorial
  Commercial


Product

  Still images
  Footage


Type

  Free
  Paid


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Application Insights

The editorial segment is estimated to witness significant growth during the forecast period. The segment was valued at USD 2.14 billion in 2023. It continued to the largest segment at a CAGR of 4.01%.

The market is witnessing significant growth, driven by the editorial segment's increasing demand. In this sector, stock images serve primarily to enhance storytelling in publishing and media. These images, designated for editorial use, are restricted to non-commercial applications. Publishing houses, which produce books, newspapers,