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Industry Landscape
Total Assets Under Management (AUM)
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Total Addressable Market
Market Growth Stage
Pace of Market Growth
Emerging Technologies
AI-Powered Software Development
AI-powered software development is accelerating the creation of B2B applications, enabling faster iteration, personalized features, and intelligent automation within software solutions.
Low-Code/No-Code Platforms
Low-code/no-code platforms are democratizing software creation, allowing businesses to rapidly prototype and deploy B2B applications with minimal coding expertise, increasing agility and responsiveness.
Serverless Computing
Serverless computing is transforming B2B software architecture, enabling scalable, cost-efficient, and event-driven applications that require less infrastructure management and optimize resource utilization.
Impactful Policy Frameworks
California Consumer Privacy Act (CCPA)
The CCPA, enacted in 2018, grants California consumers broad rights over their personal data, including the right to know, the right to delete, and the right to opt-out of the sale of their data.
Impacts data privacy practices of portfolio companies, demanding compliance and potentially increasing operational costs for B2B SaaS firms handling customer data.
Stop Hacks and Improve Electronic Data Security Act (SHIELD Act)
The SHIELD Act, updated in 2019, broadens the scope of New York's data security law, requiring businesses to implement reasonable safeguards to protect the private information of New York residents.
May affect the scope and enforcement of data usage and security, requiring B2B software companies to invest in robust cybersecurity measures and comply with stringent reporting requirements.
AI Bill of Rights
The Blueprint for an AI Bill of Rights, released in 2022, is a White House initiative outlining five principles to guide the design, use, and deployment of AI systems in a way that protects the American public.
Affects the use of AI in B2B software, especially in areas like HR tech and FinTech, mandating transparency and fairness in algorithms to prevent discriminatory outcomes.
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