by Daniel Nikic, Senior Associate & Data Team Lead
Compiled each week by the Azafran Data Team, transactions specific to the Azafran Fund II Thesis have soared from a total of ~$4B in 2017 to over $60B YTD Q4 2021 and are forecasted to exceed $200B by 2025.
The Azafran Applied Deep Tech Index tracks all transactions globally related to companies utilizing voice, acoustics / sensory and imagery feeding augmented AI/ML into the MedTech, IoT and Enterprise / B2B markets.
Results total of funding by year:
2022: (YTD) : $14.4B - 425 companies - Funding of $33.9M (Mean) / $11M (Median)
2021: $67.43B - 1,917 companies - Funding of $35.2M (Mean) / $9M (Median)
2020: $27.01B - 1,129 companies - Funding of $23.9M (Mean) / $6M (Median)
2019: $23.44B - 1,131 companies - Funding of $20.7M (Mean) / $3.9M (Median)
2018: $9.48B - 885 companies - Funding of $10.7M (Mean) / $2.9M (Median)
2017: $4.88B - 706 companies - Funding of $6.9M (Mean) / $1.7M (Median)
Industries Funding in 2022 (YTD)
IoT - $6.9B
Enterprise - $5.13B
Health & Wellness - $2.38B
The Azafran Data Team has created a proprietary data repository and machine learning engine (Ametrine), where we track over 6,000+ AI/ML companies worldwide broken into select categories, markets, themes, industries and metrics. We track 400+ attributes across all the companies, including geography, technology focus, and modalities.
Source: Azafran Data Team