The artificial intelligence (AI) software industry is poised to dominate the Software-as-a-Service (SaaS) market by 2025, with an estimated *** million customers worldwide. This surge in AI adoption reflects the growing importance of intelligent technologies across various sectors, as businesses seek to leverage data-driven insights and automation to gain a competitive edge. Cloud adoption drives SaaS growth The rise of AI in SaaS is closely tied to the broader trend of cloud adoption. As of 2024, ** percent of enterprises have deployed hybrid cloud solutions, combining the benefits of public and private clouds. This shift towards flexible cloud infrastructure provides an ideal foundation for AI-powered SaaS applications, enabling businesses to scale their AI capabilities efficiently. The increasing popularity of public cloud services, with ** percent of enterprises adopting AWS, further supports the growth of AI and other SaaS offerings. Investment in cloud and SaaS continues to climb Organizations are demonstrating their commitment to cloud-based technologies through significant financial investments. In 2025, approximately ** percent of enterprises are expected to spend between *** million and *** million U.S. dollars annually on public cloud services. This substantial investment extends to SaaS industries, with financial services and AI software leading in total funding at nearly ** billion U.S. dollars each. The analytics software industry, closely related to AI, has secured 30 billion U.S. dollars in funding, underscoring the market's confidence in data-driven SaaS solutions.
As of January 2024, the top three leading industries in Software-as-a-Service (SaaS) by number of companies were artificial intelligence software, analytics software and financial services software, with roughly 4,300 companies among them alone.
This statistic shows the share of economic sectors in the global gross domestic product (GDP) from 2013 to 2023. In 2022, agriculture contributed 4.25 percent, industry contributed approximately 27.22 percent and services contributed about 61.76 percent to the global gross domestic product. See global GDP for comparison.
This statistic shows the top industries for billionaire wealth in 2015, globally. In 2015, 1.1 trillion U.S. dollars of billionaire wealth was in the fashion and retail industries.
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China % of Value Added of Core Industries of Digital Economy: Manufacture of Digital Products data was reported at 33.800 % in 2023. China % of Value Added of Core Industries of Digital Economy: Manufacture of Digital Products data is updated yearly, averaging 33.800 % from Dec 2023 (Median) to 2023, with 1 observations. The data reached an all-time high of 33.800 % in 2023 and a record low of 33.800 % in 2023. China % of Value Added of Core Industries of Digital Economy: Manufacture of Digital Products data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AVA: Value Added of Core Industries of Digital Economy.
Explore how emerging technologies are transforming the global economy, driving innovation and creating new opportunities for growth.
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The average for 2023 based on 168 countries was 124.18 billion U.S. dollars. The highest value was in China: 6812.37 billion U.S. dollars and the lowest value was in Micronesia: 0.02 billion U.S. dollars. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.
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BCC Research Market Report says big science should grow from $29.1 billion in 2020 to $41.6 billion by 2025 with a compound annual growth rate of 7.4%.
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Introduction:
This dataset represents top-ranked international public companies according to the level of the Liabilities. International Entities with Largest liability Load dataset provides the thorough examination of the liability burden of the major corporations across the globe. Including statistical information within a wide range of industries and areas of operation, the dataset reveals the financial stability and predictability of the risks associated with the major international players. Delve into the system of damage it balances, which includes corporate-bonds and long-term borrowing and uncover the interconnection of the global economy. this dataset is gathered from companies market capital website. below i have given the details of the dataset and columns after that i have given some information about the use cases of this dataset.
About Dataset Columns:
In this dataset, I have provided 6 columns, which are as follows:
Rank: It shows the ranking number of the company.
Company: It displays the name of the company.
Stock Symbol: This column contains the stock symbols of the company.
Total Liability (USD): This column provides the total liabilities of the company in trillion US dollars.
Share Price: It contains the share price of the respective company.
Company Origin: This column provides the country name of the respective company.
Use Cases of the dataset:
Financial Analysis: Analyzing debt-to-equity ratios and debt sustainability is a valid use case for assessing the financial health of companies and making investment decisions.
Risk Assessment: Evaluating the debt levels and financial risk exposure of companies across sectors and regions is an appropriate application of this dataset.
Market Research: Understanding corporate borrowing trends and debt levels within specific industries and countries aligns with the purpose of this dataset.
Benchmarking: Comparing the debt profiles of companies against industry peers to identify outliers or potential opportunities is a valid use case for this dataset.
Investor Insights: Gaining insights into how debt levels impact stock prices and investor sentiment is a relevant application of this dataset.
Policy Making: Informing policymakers and regulators about the debt landscape of international corporations for regulatory oversight and risk management purposes is a suitable use case for this dataset.
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Discover the biggest aluminium companies in the world, including China Hongqiao Group, UC Rusal, Rio Tinto, Alcoa Corporation, Emirates Global Aluminium, and Norsk Hydro ASA, and learn about their impact on the global economy and industries.
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This horizontal bar chart displays public companies by industry using the aggregation count. The data is filtered where the company is Restaurant Brands International. The data is about companies.
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The dataset provided includes information about various companies, their stock symbols, financial metrics such as price-to-book ratio and share price, as well as details about their origin countries. Additionally, the dataset contains frequency distribution information for certain ranges of price-to-book ratios and share prices.
The dataset appears to be a compilation of financial data for different companies, likely for investment analysis or comparison purposes. It includes the following key components:
This dataset can be utilized for various financial analyses such as company valuation, comparison of financial metrics across companies, and investment decision-making.
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China Value Added of Core Industries of Digital Economy data was reported at 12,755.500 RMB bn in 2023. China Value Added of Core Industries of Digital Economy data is updated yearly, averaging 12,755.500 RMB bn from Dec 2023 (Median) to 2023, with 1 observations. The data reached an all-time high of 12,755.500 RMB bn in 2023 and a record low of 12,755.500 RMB bn in 2023. China Value Added of Core Industries of Digital Economy data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AVA: Value Added of Core Industries of Digital Economy.
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The global Big Data Infrastructure market size was valued at approximately $98 billion in 2023 and is projected to grow to around $235 billion by 2032, exhibiting a compound annual growth rate (CAGR) of about 10.1% during the forecast period. This impressive growth can be attributed to the increasing demand for big data analytics across various sectors, which necessitates robust infrastructure capable of handling vast volumes of data effectively. The need for real-time data processing has also been a significant driver, as organizations seek to harness data to gain competitive advantages, improve operational efficiencies, and enhance customer experiences.
One of the primary growth factors driving the Big Data Infrastructure market is the exponential increase in data generation from digital sources. With the proliferation of connected devices, social media, and e-commerce, the volume of data generated daily is staggering. Organizations are realizing the value of this data in gaining insights and making informed decisions. Consequently, there is a growing demand for infrastructure solutions that can store, process, and analyze this data effectively. Additionally, developments in cloud computing have made big data technology more accessible and affordable, further fueling market growth. The ability to scale resources on-demand without significant upfront capital investment is particularly appealing to businesses.
Another critical factor contributing to the growth of the Big Data Infrastructure market is the advent of advanced technologies such as artificial intelligence, machine learning, and the Internet of Things (IoT). These technologies require sophisticated data management solutions capable of handling complex and large-scale data sets. As industries across the spectrum from healthcare to manufacturing integrate these technologies into their operations, the demand for capable infrastructure is scaling correspondingly. Moreover, regulatory requirements around data management and security are prompting organizations to invest in reliable infrastructure solutions to ensure compliance and safeguard sensitive information.
The role of data analytics in shaping business strategies and operations has never been more pertinent, driving organizations to invest in Big Data Infrastructure. Businesses are keenly focusing on customer-centric approaches, understanding market trends, and innovating based on data-driven insights. The ability to predict trends, consumer behavior, and potential challenges offers a significant strategic advantage, further pushing the demand for robust data infrastructure. Additionally, strategic partnerships between technology providers and enterprises are fostering an ecosystem conducive to big data initiatives.
From a regional perspective, North America currently holds the largest share in the Big Data Infrastructure market, driven by the early adoption of advanced technologies and the presence of major technology companies. The region's strong digital economy and a high degree of IT infrastructure sophistication are further bolstering its market position. Europe is expected to follow suit, with significant investments in data infrastructure to meet regulatory standards and drive digital transformation. The Asia Pacific region, however, is anticipated to witness the highest growth rate, attributed to rapid digitalization, the proliferation of IoT devices, and increasing awareness of the benefits of big data analytics among businesses. Other regions like Latin America and the Middle East & Africa are also poised for growth, albeit at a relatively moderate pace, as they continue to embrace digital technologies.
In the realm of Big Data Infrastructure, the component segment is categorized into hardware, software, and services. The hardware segment consists of the physical pieces needed to store and process big data, such as servers, storage devices, and networking equipment. This segment is crucial because the efficiency of data processing depends significantly on the capabilities of these physical components. With the rise in data volumes, there’s an increased demand for scalable and high-performance hardware solutions. Organizations are investing heavily in upgrading their existing hardware to ensure they can handle the data influx effectively. Furthermore, the development of advanced processors and storage systems is enabling faster data processing and retrieval, which is critical for real-time analytics.
The software segment of Big Data Infrastructure encompasses analytics soft
As of May 2025, Amazon was the biggest internet company worldwide with a market cap of over two trillion U.S. dollars Second-ranked Alphabet had a market capitalization of 1.88 trillion U.S. dollars. The end of the 1990s in the United States saw the rise of a great number of internet companies, also called online companies or a variety of the name “dot com,” where the “.com” domain is derived from the word commercial. At the time, such startups were merely riding the wave of early internet business, but had little capital and perhaps one good idea. Few companies have survived the burst of the dot com bubble and even fewer have managed to become internationally successful. A few notable exceptions are American companies such as Google (founded in 1998), Amazon (founded in 1994) or eBay Inc. (founded in 1995), and the Chinese online giant Alibaba (founded in 1998), which have come to be some of the largest internet companies in the world. One of the largest internet companies worldwide is currently Alphabet, the parent company of Google, with a market capitalization of 1.88 trillion U.S. dollars as of May 2025. Having started as a PhD project at Stanford University, the Google project slowly gained traction and is now the number one search engine in the world, with a market share of 86 percent on the search engine market. Due to a number of high profile acquisitions, Google has expanded its portfolio beyond search, to include the video content sharing site YouTube, the digital app platform Google Play Store, the webmail service Gmail and the web browser Google Chrome, to only name a few. In October 2015, Google reorganized itself into a newly created parent company, the multinational conglomerate Alphabet Inc. The biggest internet companies in terms of their workforce are currently Amazon, Alphabet and Meta.
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Global oil and gas production companies have gone through significant turbulence for most of the period. The pandemic and its accompanying lockdowns severely disrupted producers as revenue fell double digits and the industry's largest market, the transportation sector, was limited. This was quickly reversed as the economy opened and supply outpaced demand, causing prices to skyrocket. High prices, accompanied by swelling production, led to surging revenue. While prices eventually came back down late in the period, they remained high. Overall revenue has pushed up at a CAGR of 6.0% to $4.2 trillion through the end of 2024, including a slight 1.9% uptick in 2024 alone. Profit also surged as purchase costs came down. Emerging markets in BRIC nations, Southeast Asia and Africa continue to drive growth because of rapid industrialization and population increases, heightening the need for crude oil, natural gas and related downstream products. Even so, the gradual shift toward renewable energy poses challenges for producers, as many countries have implemented regulations and incentives to promote clean energy use. Geopolitical tensions and the uncertainties stemming from the global pandemic underscore the importance of diversifying supply sources to ensure energy security. Overall, industry revenue is set to push down at a CAGR of 3.6% to $3.5 trillion through the end of 2029. The bulk of this period will be highlighted by more efforts in oil and gas exploration and production in emerging markets, potentially transforming these regions into major global producers. Even so, the excess supply of oil and gas, combined with the push for sustainability, will drive prices down, leading to revenue contractions.
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Sudan SD: Claims on Other Sectors of The Domestic Economy: % of GDP data was reported at 11.639 % in 2016. This records an increase from the previous number of 9.371 % for 2015. Sudan SD: Claims on Other Sectors of The Domestic Economy: % of GDP data is updated yearly, averaging 11.455 % from Dec 2001 (Median) to 2016, with 16 observations. The data reached an all-time high of 15.568 % in 2006 and a record low of 3.699 % in 2001. Sudan SD: Claims on Other Sectors of The Domestic Economy: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Bank Loans. Claims on other sectors of the domestic economy (IFS line 52S or 32S) include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security funds.; ; International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.; Weighted average;
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Get key insights from Market Research Intellect's Big Data Security Market Report, valued at USD 12.5 billion in 2024, and forecast to grow to USD 40 billion by 2033, with a CAGR of 15.5% (2026-2033).
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The global market size of Over the Top is $XX million in 2018 with XX CAGR from 2014 to 2018, and it is expected to reach $XX million by the end of 2024 with a CAGR of XX% from 2019 to 2024.
Global Over the Top Market Report 2019 - Market Size, Share, Price, Trend and Forecast is a professional and in-depth study on the current state of the global Over the Top industry. The key insights of the report:
1.The report provides key statistics on the market status of the Over the Top manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
2.The report provides a basic overview of the industry including its definition, applications and manufacturing technology.
3.The report presents the company profile, product specifications, capacity, production value, and 2013-2018 market shares for key vendors.
4.The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.
5.The report estimates 2019-2024 market development trends of Over the Top industry.
6.Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out
7.The report makes some important proposals for a new project of Over the Top Industry before evaluating its feasibility.
There are 4 key segments covered in this report: competitor segment, product type segment, end use/application segment and geography segment.
For competitor segment, the report includes global key players of Over the Top as well as some small players.
The information for each competitor includes:
* Company Profile
* Main Business Information
* SWOT Analysis
* Sales, Revenue, Price and Gross Margin
* Market Share
For product type segment, this report listed main product type of Over the Top market
* Product Type I
* Product Type II
* Product Type III
For end use/application segment, this report focuses on the status and outlook for key applications. End users sre also listed.
* Application I
* Application II
* Application III
For geography segment, regional supply, application-wise and type-wise demand, major players, price is presented from 2013 to 2023. This report covers following regions:
* North America
* South America
* Asia & Pacific
* Europe
* MEA (Middle East and Africa)
The key countries in each region are taken into consideration as well, such as United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, and Brazil etc.
Reasons to Purchase this Report:
* Analyzing the outlook of the market with the recent trends and SWOT analysis
* Market dynamics scenario, along with growth opportunities of the market in the years to come
* Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and non-economic aspects
* Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
* Market value (USD Million) and volume (Units Million) data for each segment and sub-segment
* Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
* Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
* 1-year analyst support, along with the data support in excel format.
We also can offer customized report to fulfill special requirements of our clients. Regional and Countries report can be provided as well.
In July 2024, it was announced that Redbox would lay off 1,000 employees, the second-highest number of terminations in the media industry so far. The largest layoff announcement so far was that of Spotify, when the streaming giant declared in December 2023 that it would let 1,500 employees go, making this the biggest media industry layoff case since 2020. SiriusXM’s layoff of 475 people in March 2023 ranked fourth on that list. Spotify’s layoffs in the grand scheme of things While Spotify’s employment changes were notable in the media world, put in perspective, the numbers seem modest. For example, compared to the layoffs in the tech industry, where Amazon announced in 2022 and 2023 the termination of 18,000 employees, Spotify’s 1,500 may seem a less drastic move. However, as it is, Spotify’s number of employees already decreased by 15 percent between 2021 and 2022, so the addition of over a dozen hundred dismissals indicates larger reorganization in the company. It is a significant move on the side of the streaming giant which for years boasted growing revenues as well as an expanding workforce. Layoffs in the media - the bigger picture Other media companies did not escape the trend of layoffs that started plaguing the United States in 2022. However, over the decades the sector has experienced a few dark periods in terms of employment losses. When the economy suffers, a popular cost-cutting solution is workforce restructuring, as payroll is always one of the biggest overheads for businesses to grapple with. The spikes in media industry job losses are commonly tied to recessions (e.g. in 2001 and 2008). In 2020, the culprit was the coronavirus pandemic. The most recent layoffs, though not as radical as the previous ones, are a result of numerous mergers and acquisitions, combined with economic factors, and a general shift to digital platforms.
The artificial intelligence (AI) software industry is poised to dominate the Software-as-a-Service (SaaS) market by 2025, with an estimated *** million customers worldwide. This surge in AI adoption reflects the growing importance of intelligent technologies across various sectors, as businesses seek to leverage data-driven insights and automation to gain a competitive edge. Cloud adoption drives SaaS growth The rise of AI in SaaS is closely tied to the broader trend of cloud adoption. As of 2024, ** percent of enterprises have deployed hybrid cloud solutions, combining the benefits of public and private clouds. This shift towards flexible cloud infrastructure provides an ideal foundation for AI-powered SaaS applications, enabling businesses to scale their AI capabilities efficiently. The increasing popularity of public cloud services, with ** percent of enterprises adopting AWS, further supports the growth of AI and other SaaS offerings. Investment in cloud and SaaS continues to climb Organizations are demonstrating their commitment to cloud-based technologies through significant financial investments. In 2025, approximately ** percent of enterprises are expected to spend between *** million and *** million U.S. dollars annually on public cloud services. This substantial investment extends to SaaS industries, with financial services and AI software leading in total funding at nearly ** billion U.S. dollars each. The analytics software industry, closely related to AI, has secured 30 billion U.S. dollars in funding, underscoring the market's confidence in data-driven SaaS solutions.