The leading investment data or analytics tool used by advisory firms worldwide in 2025 was by far Morningstar Advisor Workstation, with over 19 percent of the market. YCharts followed, with market share of nearly 15 percent.

A majority of businesses responding to a 2023 survey said that investment in data and analytics was a top priority. However, only 37 percent said that their efforts to improve data quality had been successful, highlighting an ongoing challenge faced by organizations across industry sectors.

According to a 2022 survey, the vast majority of Chief Data and Analytics Officers saw measurable value from their data and analytics investments in 2022. This marks a shift from 2016, when fewer than half reported measurable value.

The ESG Investment Analytics Market Report is Segmented by Type (Addressing ESG Expectations and Preparing ESG Reports), Application (Financial Industry, Consumer, and Retail), and Geography (Asia-Pacific, Europe, North America, South America, and the Middle East & Africa). The Report Offers the Market Size in Value Terms in USD for all the Abovementioned Segments.

dataset related to government investments in the USA:

Year: The year in which the investment was made. Government Department: The specific government department or agency responsible for the investment. Project Description: A brief overview of the project or initiative that received the investment. Investment Amount: The monetary value of the investment made by the government. Investment Category: Categorization of the investment based on its purpose, such as infrastructure, healthcare, education, technology, etc. Location: The geographical area or region where the investment was utilized. Benefits and Goals: The intended outcomes, benefits, and goals of the investment. Partners: Any private or public entities that collaborated with the government on the investment. Job Creation: Information about the number of jobs created or impacted by the investment. Sustainability Initiatives: Any eco-friendly or sustainability-related aspects associated with the investment. Challenges: Any challenges or obstacles faced during the implementation of the investment. Impact Assessment: Data or metrics used to assess the impact and effectiveness of the investment. Policy Implications: Any policy changes or implications resulting from the investment. Public Response: Information about how the public responded to the investment, if available. Future Plans: Any future plans or developments related to the investment. This dataset would provide a comprehensive overview of government investments in various sectors across the USA, allowing for analysis of trends, effectiveness, and policy implications.

The vast majority of businesses responding to a recent survey said that they had drawn measurable business value from data and analytics investments. This proportion was up significantly from 2017, when fewer than half of surveyed organizations had seen a return on their investment.

Dataset

This dataset was created by Rhythm Rawat

Contents

The Alternative Data Provider market, currently valued at $1252 million in 2025, is projected to experience robust growth, driven by increasing demand for data-driven insights across diverse sectors. A compound annual growth rate (CAGR) of 9% from 2025 to 2033 indicates a significant expansion of this market. Key drivers include the rising adoption of alternative data sources like credit card transactions, web data, and social media sentiment analysis for investment strategies, risk management, and improved business decision-making. The BFSI (Banking, Financial Services, and Insurance) sector is a major adopter, leveraging alternative data to enhance credit scoring, fraud detection, and customer segmentation. The growing sophistication of AI and machine learning algorithms further fuels market expansion by enabling more efficient processing and analysis of diverse data streams. While data privacy regulations present a potential restraint, the market's growth trajectory suggests that innovative solutions and increased regulatory clarity will mitigate these challenges. The market segmentation, encompassing various application areas and data types, indicates a diversified ecosystem with opportunities for specialized providers and integrated platforms. Companies like Preqin, Dataminr, and Bloomberg Second Measure are key players shaping this dynamic landscape through their innovative data solutions and analytics capabilities. Geographic expansion, particularly in regions with burgeoning financial technology and digital infrastructure, such as Asia-Pacific, will contribute to the market's overall growth. The rapid adoption of alternative data is fueled by its ability to provide a more comprehensive view compared to traditional data sources. This is especially crucial in rapidly evolving markets where traditional data might lag or be insufficient. The increased availability of diverse data sources, coupled with advancements in data analytics techniques, enables financial institutions and businesses to gain a competitive edge. While challenges related to data quality, integration, and regulatory compliance remain, the overall market outlook is extremely positive. This is driven by the continuous development of more sophisticated analytics tools, a growing understanding of the value of alternative data, and increasing investments in data infrastructure. The growing number of players, including both established financial data providers and emerging technology companies, indicates a vibrant and competitive market poised for sustained growth.

The statistic shows the leading data and analytics investments identified by survey respondents worldwide for supporting global business services, as of 2016. At that time, 76 percent of respondents identified investment in analytical tools - such as business intelligence, business process management, and enterprise process management - as supporting global business services.

Crunchbase dataset to map your business ecosystem, make strategic decisions, and gather information on private and public companies. Common use cases include identifying investment opportunities, tracking company growth, and analyzing industry trends.

Use our Crunchbase Companies Information dataset to gain detailed insights into global startups and established companies across various industries. This dataset provides valuable company profiles, funding details, key executives, industry trends, and business performance, tailored for venture capitalists, market analysts, business development teams, and researchers.

By leveraging the Crunchbase Companies dataset, users can discover emerging startups, evaluate investment opportunities, track market growth, and perform competitive analysis. Whether you're seeking to enhance due diligence processes, identify new business prospects, or explore industry developments, this dataset empowers you to make data-driven decisions with confidence. Gain a deeper understanding of the business landscape and stay ahead in the competitive market by utilizing this essential dataset.

Dataset Features

Below is a breakdown of key dataset columns:
- name: The name of the company.
- url: Website or Crunchbase link for the company.
- id: Unique identifier for the company.
- cb_rank: Crunchbase ranking based on relevance and popularity.
- region: Geographic region where the company operates.
- about: Brief description of the company.
- industries: List of industries the company belongs to (e.g., photography, events, professional services).
- operating_status: Whether the company is active or inactive.
- company_type: Classification (e.g., for-profit, nonprofit).
- social_media_links: URLs to the company’s social media profiles.
- founded_date: Year or exact date when the company was founded.
- num_employees: Number of employees in the company.
- country_code: Country where the company is based.
- website: Official company website.
- contact_email: Contact email for the company.
- contact_phone: Contact phone number for the company.
- featured_list: Lists the company has been featured.
- full_description: Extended description of the company’s services or products.
- type: Type of organization (company, startup, etc.).
- uuid: Unique identifier for database tracking.
- active_tech_count: Number of technologies actively used by the company.
- builtwith_num_technologies_used: Number of technologies detected using BuiltWith.
- builtwith_tech: List of technologies used.
- ipo_status: Whether the company is public or private.
- similar_companies: URL of other companies similar to this one.
- image: Link to the company’s image or logo.
- monthly_visits: Estimated monthly web traffic.
- semrush_visits_latest_month: Website visits in the latest month according to SEMrush.
- semrush_last_updated: Last updated date for SEMrush traffic data.
- monthly_visits_growth: Change in web traffic over time.
- semrush_visits_mom_pct: Month-over-month percentage change in visits.
- num_contacts: Number of available contacts for the company.
- num_contacts_linkedin: Number of LinkedIn contacts.
- num_employee_profiles: Number of employee profiles available.
- total_active_products: Number of active products/services offered by the company.
- num_news: Number of news articles about the company.
- funding_rounds: Number of funding rounds the company has gone through.
- Bombora_last_updated: Bombora last updated date on website.
- num_investors: Number of investors associated with the company.
- legal_name: Official legal name of the company.
- num_event_appearances: Number of events the company has appeared in.
- num_acquisitions: Number of acquisitions made by the company.
- num_investments: Number of investments made by the company.
- num_advisor_positions: Number of advisor positions in the company.
- num_exits: Number of times the company has exited an investment.
- num_investments_lead: Number of times the company has led an investment round.
- num_sub_organizations: Number of sub-organizations under the company.
- num_alumni: Number of notable alumni from the company.
- Num_diversity_spotlight_investments: Number of diversity-focused investments.
- num_founder_alumni: Number of company founders who are alumni of a certain institution.
- num_funds: Number of investment funds the company has created.
- stock_symbol: Stock ticker symbol (if public).
- location: City and country where the company is headquartered.
- address: Full business address.
- contacts: List of business contacts.
- current_employees: Number of current employees.
- **semrush_loc

DAVP covers more than 2 million virtual portfolios created by 1.6 million users since 2013 and covers over 100 million rebalancing actions across all A-share stocks.

DAVP provides granular, record-level details for each rebalancing transaction, including the transition amount, price, and weight. Since 2022, it has also captured point-in-time (PIT) metadata on individual virtual portfolios, such as portfolio returns and popularity trends. This rich and structured dataset empowers clients to customize indicators based on their unique investment perspectives with ease.

In addition, by dividing the rebalancing records into different groups based on users’ experience, activity level, and portfolio diversity, DAVP provides easy-to-use derived insights into the investment strategy and behaviors of different groups of investors as below.

1)Popularity indicators. (e.g., number of rebalancing users/portfolios, number of rebalance, total rebalance weight/shares)

2)Sentiment indicators. (e.g., number of buy/sell users/portfolios, number of buy/sell weight/ shares, number of first buy users)

3)Market price indicators (e.g., buy/sell average/median price)

• Coverage: 5000+ A-share stocks
• History: From 2013-01-01
• Update Frequency: Daily

The Alternative Data Platform market is experiencing robust growth, driven by the increasing need for sophisticated data analytics across diverse sectors. The market's expansion is fueled by several key factors: the burgeoning adoption of cloud-based solutions offering scalability and cost-effectiveness; the rising demand for real-time insights to improve decision-making in areas like investment strategies, risk management, and customer behavior analysis; and the proliferation of alternative data sources themselves, from social media and satellite imagery to transactional data and sensor readings. The BFSI (Banking, Financial Services, and Insurance) sector remains a major driver, leveraging alternative data for credit scoring, fraud detection, and investment research. However, growth is also significant in the Industrial, IT and Telecommunications, and Retail and Logistics sectors, as these industries seek to optimize operations and gain competitive advantages through data-driven insights. While the on-premises deployment model still holds a significant market share, the cloud-based segment is projected to experience higher growth rates due to its flexibility and accessibility. Challenges to market expansion include concerns around data privacy and regulatory compliance, as well as the need for robust data integration and management capabilities to handle the complexity and volume of alternative data sources. Competition is fierce, with established players and innovative startups vying for market share, leading to continuous advancements in platform capabilities and a focus on delivering tailored solutions for specific industry needs. The forecast period from 2025 to 2033 anticipates substantial expansion. Assuming a CAGR (Compound Annual Growth Rate) of 15% (a reasonable estimate given the market dynamics), and a 2025 market size of $5 billion (a plausible estimate based on similar fast-growing data analytics markets), the market value could reach approximately $16 billion by 2033. Regional growth will be uneven, with North America and Europe maintaining dominant market shares due to early adoption and robust technological infrastructure. However, Asia-Pacific is projected to show significant growth potential driven by rising digitalization and increasing investment in data analytics within emerging economies. The market segmentation by application and type will evolve, with the cloud-based and BFSI segments likely exhibiting the strongest expansion throughout the forecast period. Continued innovation in areas such as AI-powered data analysis and advanced data visualization tools will be crucial for maintaining market growth and attracting new customers.

The Investment Opportunities of Big Data Technology in China are segmented by Deployment (On-Premise, Cloud), Enterprise Size (Large Enterprise, Small & Medium Enterprise), Solution (Customer Analytics, Fraud Detection and Management, Operation Intelligence, Predictive Maintenance, Asset Management), and End-user Industry (BFSI, Healthcare, Retail, Manufacturing and Automotive, Aerospace & Defense, IT & Telecommunication, Government). The market sizes and forecasts are provided in terms of value (USD million) for all the above segments.

Offshore Investments Scenario of Canada: Investments Analytics; is an exhaustive research report outlaying important statistics on Canada’s Retail Investment market. The report provides year on year statistics on Offshore Investments in Mutual Fund, Deposits, Equities and Bonds by retail and non-retail banks segmented by residents and non-residents. Read More

Offshore Investments Scenario of Slovakia: Investments Analytics; is an exhaustive research report outlaying important statistics on Slovakia’s Retail Investment market. The report provides year on year statistics on Offshore Investments in Mutual Fund, Deposits, Equities and Bonds by retail and non-retail banks segmented by residents and non-residents. Read More

Offshore Investments Scenario of Norway: Investments Analytics; is an exhaustive research report outlaying important statistics on Norway’s Retail Investment market. The report provides year on year statistics on Offshore Investments in Mutual Fund, Deposits, Equities and Bonds by retail and non-retail banks segmented by residents and non-residents. Read More

The size and share of this market is categorized based on Portfolio Management Tools (Asset Allocation, Risk Management, Performance Measurement, Rebalancing, Reporting) and Trading and Execution Tools (Order Management Systems, Execution Management Systems, Algorithmic Trading, Market Data Feeds, Trade Analytics) and Research and Analytics Tools (Market Research Platforms, Data Analytics Tools, Financial Modelling, Valuation Tools, Scenario Analysis) and geographical regions (North America, Europe, Asia-Pacific, South America, Middle-East and Africa).

Discover LSEG financial data analytics to identify, monitor, report, and manage opportunities and risks in trading and investment activities.

The alternative investment platform market is experiencing robust growth, driven by increasing demand for sophisticated investment management tools and the rising adoption of digital technologies within the financial services sector. The market, currently valued at approximately $15 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% between 2025 and 2033, reaching an estimated $50 billion by 2033. This expansion is fueled by several key factors: the growing preference for cloud-based solutions offering scalability and cost-effectiveness, the increasing need for enhanced data analytics and reporting capabilities to support informed decision-making, and the rising adoption of alternative investment strategies by institutional and high-net-worth investors. The BFSI (Banking, Financial Services, and Insurance) sector is a major driver of market growth, followed by the IT and Telecommunications sectors, which are increasingly adopting these platforms for managing their own investments and streamlining internal processes. Regulatory changes promoting transparency and efficiency in alternative investments further contribute to market expansion. While the market presents significant opportunities, challenges remain. Security concerns related to data management and platform integrity are paramount. The need for integration with legacy systems and the complexities involved in implementing these platforms across diverse organizational structures can also hinder growth. Despite these restraints, the long-term outlook remains positive, with the market poised to benefit from technological advancements in artificial intelligence (AI), machine learning (ML), and blockchain technologies, which further enhance the capabilities of these platforms. The competitive landscape is fragmented, with a mix of established players and emerging startups vying for market share. This dynamic environment fosters innovation and competition, ultimately benefiting investors and end-users.