Explore the Investment Funds dataset providing information on Total Assets, No. of Subscribers, Foreign and Domestic Assets in Million Riyals, and more. Updated quarterly by SAMA, this dataset offers valuable insights into the banking and money market in Saudi Arabia.

Total Assets of Funds in Million Riyals, No. of Subscribers, Annually, Foreign Assets in Million Riyals, No. of Operating Funds, Quarterly, Domestic Assets in Million Riyals, Bank, Money, Assets, Foreign, Fund, SAMA Quarterly

Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..Important notes:Note: As of 2006, the source of data is the Capital Market Authority (CMA).

Australia Mutual Funds: Assets: Sources of Funds: Managed Funds: Public Offer Unit Trusts data was reported at 138,621.000 AUD mn in Jun 2018. This records an increase from the previous number of 136,813.000 AUD mn for Mar 2018. Australia Mutual Funds: Assets: Sources of Funds: Managed Funds: Public Offer Unit Trusts data is updated quarterly, averaging 91,077.000 AUD mn from Jun 1988 (Median) to Jun 2018, with 121 observations. The data reached an all-time high of 145,088.000 AUD mn in Sep 2007 and a record low of 9,312.000 AUD mn in Sep 1988. Australia Mutual Funds: Assets: Sources of Funds: Managed Funds: Public Offer Unit Trusts data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.Z017: Mutual Funds: Investment Managers.

The dataset shows net resource mobilised by private sector mutual funds

Note: Data for 2023-24 are provisional.

Taiwan Source of Funds: DM: FI: OF: Mutual Funds data was reported at -163,105.000 NTD mn in 2016. This records a decrease from the previous number of 228,871.000 NTD mn for 2015. Taiwan Source of Funds: DM: FI: OF: Mutual Funds data is updated yearly, averaging 41,089.000 NTD mn from Dec 2001 (Median) to 2016, with 16 observations. The data reached an all-time high of 674,707.000 NTD mn in 2001 and a record low of -488,210.000 NTD mn in 2008. Taiwan Source of Funds: DM: FI: OF: Mutual Funds data remains active status in CEIC and is reported by Central Bank of the Republic of China. The data is categorized under Global Database’s Taiwan – Table TW.AB003: Flow of Funds Account (Incl Rest of the World): Domestic: Financial Institutions: Flow.

Graph and download economic data for Share of Corporate Equities and Mutual Fund Shares Held by the Top 1% (99th to 100th Wealth Percentiles) (WFRBST01122) from Q3 1989 to Q1 2025 about mutual funds, wealth, equity, percentile, corporate, and USA.

The dataset shows Net Resources Mobilised by Bank-Sponsored and FI (financial institutions) Sponsored Mutual Funds

Note: 1. Data for 2023-24 are provisional. 2. All Schemes of Indian Bank MF, BOI MF, PNB MF, GIC MF and IDBI MF have been transferred to other mutual funds. 3. Erstwhile UTI was bifurcated into UTI Mutual Fund and the Specified Undertaking of the Unit Trust of India effective from February 2003.

Taiwan Source of Funds: DM: BS: PR: Mutual Funds data was reported at 0.000 NTD mn in 2016. This stayed constant from the previous number of 0.000 NTD mn for 2015. Taiwan Source of Funds: DM: BS: PR: Mutual Funds data is updated yearly, averaging 0.000 NTD mn from Dec 2001 (Median) to 2016, with 16 observations. Taiwan Source of Funds: DM: BS: PR: Mutual Funds data remains active status in CEIC and is reported by Central Bank of the Republic of China. The data is categorized under Global Database’s Taiwan – Table TW.AB005: Flow of Funds Account (Incl Rest of the World): Domestic: Business: Flow.

The Report Covers GCC Mutual Fund Industry Growth and it is Segmented Based on the Fund Category (Equity, Money Market, Real Estate and Others (Bonds, Commodities, Mixed)), and by Geography (Saudi Arabia, Qatar, Kuwait, Abu Dhabi, and Dubai)

This dataset contains Saudi Arabia Investment Funds (Open/Close). Data from Saudi Central Bank (SAMA). Follow datasource.kapsarc.org for timely data to advance energy economics research.Important notes:Note: As of 2006, the source of data is the Capital Market Authority (CMA).

Source ID: LM654090000.Q

For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).

With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).

In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=LM654090000&t=) provided by the source.

Analysis of ‘Money Market Fund Information’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/2e42951d-1461-4748-a041-9a110aae19b2 on 11 February 2022.

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

This report provides basic identification information for all entities that are organized as Money Market Mutual Funds (MMFs), and that have filed Form N-MFP with the Commission.

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

Alternative Data Provider Market Outlook

The global alternative data provider market size was valued at approximately USD 2.5 billion in 2023 and is expected to reach around USD 11 billion by 2032, growing at a robust CAGR of 18% during the forecast period. The surge in market size is primarily driven by the increasing demand for unique insights that alternative data provides to investment firms, hedge funds, and other financial institutions.

One of the prominent growth factors fueling the alternative data provider market is the escalating number of data sources. With the digital footprint expanding across social media, web scraping, credit card transactions, and satellite data, firms are constantly seeking new ways to gain a competitive edge. Social media platforms alone generate an immense volume of data daily, enabling businesses to derive real-time insights into consumer behavior, market trends, and sentiment analysis. This vast pool of unstructured data, when properly processed and analyzed, provides a goldmine of information for investment strategies and risk management.

Another significant growth driver is the increasing adoption of advanced analytical tools and artificial intelligence (AI). These technologies enable the efficient processing and analysis of large datasets, thus enhancing the accuracy and reliability of the insights derived. AI algorithms, in particular, are adept at identifying patterns and trends that may not be immediately apparent to human analysts. Moreover, the integration of machine learning techniques allows for continuous improvement in data analysis capabilities, making alternative data an indispensable tool for financial institutions aiming to stay ahead of the market.

Furthermore, the growing regulatory emphasis on transparency and accountability in financial markets is driving the adoption of alternative data. Regulatory bodies across the globe are increasingly scrutinizing traditional data sources to ensure fair trading practices and risk mitigation. In response, financial institutions are turning to alternative data providers to gain a more comprehensive view of market dynamics and to comply with stringent regulatory requirements. This shift toward greater transparency is expected to further bolster market growth.

Regionally, North America dominates the alternative data provider market, owing to the early adoption of advanced technologies and the presence of major financial hubs. However, other regions such as Asia Pacific and Europe are rapidly catching up. In Asia Pacific, the burgeoning fintech sector and the increasing number of start-ups are contributing significantly to market growth. Europe, on the other hand, is witnessing a surge in demand due to stringent regulatory frameworks and a growing emphasis on sustainable investing practices.

Data Type Analysis

The alternative data provider market can be segmented by data type into social media data, web scraped data, credit card transactions, satellite data, and others. Social media data is a significant segment that impacts the market due to the sheer volume and variety of data generated through various platforms like Facebook, Twitter, and LinkedIn. This data includes user posts, comments, likes, shares, and other forms of engagement that can be analyzed to gauge market sentiment and predict consumer behavior. Social media data is invaluable for real-time analysis and immediate insights, making it a crucial component for investment and marketing strategies.

Web scraped data is another vital segment, offering an extensive array of information collected from various online sources like e-commerce websites, news sites, blogs, and forums. This data type provides insights into market trends, product popularity, pricing strategies, and consumer preferences. Web scraping tools extract relevant information efficiently, which can then be analyzed to provide actionable insights for businesses looking to optimize their operations and investment strategies.

Credit card transaction data is a high-value segment, offering precise insights into consumer spending patterns and financial behaviors. This data can be used to track economic trends, monitor the performance of specific sectors, and forecast future spending habits. Financial institutions and hedge funds rely heavily on this type of data to make informed investment decisions and to develop targeted marketing campaigns. The granularity and accuracy of credit card transaction data make it a powerful tool for financial analysis.

Satellite data is an e

Analysis of ‘Investment funds statistics broken down by type of fund - Stocks’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/ecb-investment-funds-type-of-fund-stocks on 07 January 2022.

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

Investment funds can be distinguished by type of fund (open-end or closed-end). This dataset covers outstanding amounts at the end of the period.

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

Alternative Data Solution Market Outlook

In 2023, the global market size of the Alternative Data Solution market is approximately USD 2.5 billion. With a compound annual growth rate (CAGR) of 40%, the market is forecasted to reach an astounding USD 38.7 billion by 2032. This rapid growth can be attributed to the increasing demand for data-driven decision-making across different industry verticals and the advent of advanced analytical tools that facilitate the extraction of valuable insights from diverse data sources.

One of the primary growth factors driving the Alternative Data Solution market is the exponential increase in data generation. With the proliferation of internet-connected devices, social media platforms, and other digital channels, the amount of alternative data generated daily has reached unprecedented levels. Organizations across various industry verticals are leveraging this data to gain deeper insights into market trends, consumer behavior, and competitive landscapes, thereby making more informed business decisions. The availability and accessibility of cutting-edge data processing technologies further amplify the potential for extracting actionable insights from these vast datasets.

Another significant growth factor is the rising adoption of artificial intelligence (AI) and machine learning (ML) technologies. These advanced technologies are instrumental in analyzing unstructured data, such as social sentiment data, email receipts, and satellite imagery, which traditionally posed challenges for conventional data analysis tools. By employing AI and ML algorithms, businesses can uncover hidden patterns, predict future trends, and optimize their operations. The synergy between alternative data and AI/ML technologies is revolutionizing industries such as finance, retail, and healthcare, driving the demand for robust alternative data solutions.

Regulatory changes and compliance requirements also play a pivotal role in the market's expansion. Financial institutions, in particular, are under increasing pressure to adhere to stringent regulatory standards and mitigate risks. Alternative data solutions provide these institutions with valuable insights that can enhance risk assessment, fraud detection, and compliance monitoring. Moreover, the integration of alternative data with traditional financial data enables more comprehensive and accurate credit scoring, investment analysis, and portfolio management, further propelling market growth.

Data Type Analysis

The "Credit and Debit Card Transactions" segment represents a significant portion of the market, driven primarily by the financial services industry. These transaction records offer valuable insights into consumer spending patterns, preferences, and overall economic activity. Financial institutions, hedge funds, and asset managers utilize this data to develop algorithms that predict market trends and make informed investment decisions. The increasing adoption of digital payment systems and the shift towards a cashless society are expected to further augment the demand for this type of alternative data.

"Email Receipts" data is another crucial segment, particularly for the retail and e-commerce sectors. Email receipts provide detailed information about consumer purchasing behavior, including product preferences, purchasing frequency, and price sensitivity. Retailers and marketers use this data to personalize marketing campaigns, optimize inventory management, and enhance customer experience. The growing trend of online shopping and the surge in e-commerce activities globally are anticipated to drive the growth of this segment in the coming years.

"Geo-location (Foot Traffic) Records" are invaluable for businesses seeking to understand consumer movement patterns and foot traffic in physical locations. Retailers, urban planners, and transportation companies leverage this data to optimize store locations, manage traffic flow, and enhance urban infrastructure. With the increasing use of mobile devices and location-based services, the availability and accuracy of geo-location data have improved significantly, contributing to the growth of this segment.

"Mobile Application Usage" data is gaining traction due to the widespread adoption of smartphones and mobile applications. This data provides insights into user preferences, engagement levels, and app usage patterns. Companies in the technology, media, and entertainment sectors leverage this data to improve user experience, develop targeted advertising strategies, and enhanc

Analysis of ‘Investment funds statistics broken down by type of fund - Growth rates’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/ecb-investment-funds-type-of-fund-growth-rates on 12 November 2021.

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

Investment funds can be distinguished by type of fund (open-end or closed-end). This dataset covers annual percentage changes.

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

Graph and download economic data for Other Financial Corporations and Money Market Funds; Rents on Land and Natural Resources Paid (IMA), Transactions (BOGZ1FA856112005A) from 2001 to 2023 about land, natural resources, paid, MMMF, finance companies, IMA, companies, finance, transactions, rent, financial, and USA.

Analysis of ‘Ratio of non-state investment leveraged to MHT administered funds awarded’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/233a4303-4a0b-45ac-b8b2-75c542f97b21 on 26 January 2022.

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

This data shows how much private investment is generated with awards of state funds.

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

The instrument maps and data tables aim to give an insight into the methods and datasets used to reconcile the loans and equity and investment fund shares or units historical balance sheet data sources for the households and non-profit institutions serving households (NPISH) sectors.

The global quant fund market is experiencing robust growth, driven by increasing adoption of quantitative investment strategies by institutional investors and the proliferation of sophisticated analytical tools and technologies. The market size in 2025 is estimated at $2.5 trillion, exhibiting a compound annual growth rate (CAGR) of 12% from 2025 to 2033. This substantial growth is fueled by several key factors. Firstly, the increasing complexity of financial markets necessitates the use of quantitative models to identify and exploit subtle market inefficiencies. Secondly, the availability of vast amounts of data, coupled with advancements in artificial intelligence (AI) and machine learning (ML), enables the development of more accurate and efficient trading algorithms. Furthermore, the demand for consistent, data-driven returns, particularly in volatile market conditions, makes quant funds attractive to investors seeking diversification and risk management. The market is segmented by strategy (Trend Following Funds, Countertrend Strategies, Statistical Arbitrage Funds, Convertible Arbitrage, Fixed Income Arbitrage, Commodity Spread Trades, and Others) and sales channel (Direct Sales and Indirect Sales), offering diverse investment options to cater to various risk appetites and investment horizons. The major players in the market are global firms including Bridgewater Associates, AQR Capital Management, and Renaissance Technologies, who are constantly innovating and expanding their offerings. Geographic growth is expected to be strong across North America, Europe, and Asia-Pacific, with emerging markets also contributing significantly to the overall market expansion. The continued growth of the quant fund market is projected to be supported by several factors. The integration of advanced technologies like big data analytics and blockchain will continue to enhance the accuracy and speed of quantitative models, leading to improved trading performance. The expanding universe of alternative data sources, including social media sentiment and satellite imagery, will also provide additional insights for quantitative strategies. However, regulatory changes and potential market volatility pose challenges. The increasing regulatory scrutiny of high-frequency trading and the potential for unexpected market shocks are factors that need to be considered when assessing future growth. Despite these challenges, the overall market outlook for quant funds remains positive, with consistent growth projected throughout the forecast period. The ongoing development and refinement of quantitative models, combined with the persistent demand for data-driven investment solutions, are poised to drive significant market expansion in the coming years.

Emerging trends and broad themes that drive the recovery of the Mutual Fund industry in general, and the asset management industry in particular, can help us understand the industry dynamics as it recovers from the peak of the COVID-19 pandemic. The chapter summarizes the experiences and lessons learned and proposes some potential trends that could emerge in the years to come in the mutual fund landscape. A descriptive research method is followed, and inputs are drawn from secondary sources. Asset class shift, digital investing, focus on fund management fee and costs, ESG and Passive funds, increased inter-regulatory co-ordination and industry consolidation, and allowing new entrants will be emerging trends. Findings and observations from this paper can help various mutual fund stakeholders – investors, fund managers, and Asset Management Companies (AMC)s, Mutual Fund Registrars, and the Regulators in better planning their activities and investments.