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Annual Tracking of Global Corporate AI Investment
Data Science and Analytics
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About
Maps financial flows into the AI sector by detailing various types of corporate investment over a decade. It captures the rapid pace of technological change and highlights the scale of financial commitment underpinning AI's increasing societal impact, offering critical insight into how powerful AI systems are constructed and utilized.
Columns
The data structure includes four main columns:
- Entity: Describes the specific category or type of corporate investment, with examples such as Merger Acquisition. This column contains five unique values.
- Code: This column is currently empty, containing only missing data across all records.
- Year: Specifies the calendar year in which the investment occurred. The time range spans from 2013 through 2022.
- Adjusted corporate investment: Represents the monetary value associated with the investment activity, measured in billions and millions.
Distribution
The file, titled
corporate-investment-in-artificial-intelligence-by-type new.csv, is provided in a standard file format, typically CSV. It comprises 50 records detailing investment events. The structural integrity of the primary investment and temporal columns is high, though one column is entirely null. The dataset is expected to receive updates on an annual frequency.Usage
Ideal applications include economic modeling of technology sectors, quantitative analysis of corporate venture capital strategies concerning AI, tracking the relationship between investment type and overall funding levels, and preparing reports on global AI adoption rates. It is highly relevant for studies in Computer Science and Art that intersect with technology trends.
Coverage
The data spans the period from the beginning of 2013 to the end of 2022, offering a focused view of a critical decade in AI's evolution. Coverage focuses on different entity types responsible for corporate investment.
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: To gauge market saturation and investment risks in AI start-ups.
- Academics and Students: For research projects assessing the economic drivers of technological change.
- Policy Makers: To inform regulations concerning corporate funding and the ethical development of AI.
- Journalists: For generating data visualisations and insights on the accelerating growth of AI funding.
Dataset Name Suggestions
- Corporate AI Funding by Investment Type (2013-2022)
- Annual Tracking of Global Corporate AI Investment
- AI Financial Trajectory Metrics
Attributes
Original Data Source: Annual Tracking of Global Corporate AI Investment
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