Eden Rabbie, November 2020
30-second summary
Intrigued, but busy?
Skip to the Final Remarks
UAE startup access to capital is slowing down. Despite its impact on startup’s fate and contribution to the economy, the number of UAE startups gaining access to capital every year has seen no significant growth since 2017. By 2020, out of every 10 UAE startups, only 3 get funded.
At the core, venture space is a two-sided marketplace where startups play supply, investors demand, and equity the transaction unit exchanging hands until a final buyer takes it off the market for a larger return for investors. When transactions see a flattening growth curve, it is a signal of problems on the supply side, the demand side, or the dynamic between supply and demand.
In this report, we explore demand.
We analyze 150 investment firms who had worked with UAE startups, 398 startups on their portfolios and 342 startup rounds worth $1.98 billion, to find out if demand has unusual trends or underwent a major shift, and whether investment firms have been more risk-averse towards UAE startups compared to foreign startups.
Back to series home | Next report: Return On Investing In UAE Startups 2010-2020
3. A – Investment firms
5-yr periods with UAE and non-UAE firms share
Note: Ventures backed by both UAE and non-UAE firms are not double-counted in totals
3. A. 1 – Foreign capital
3. A. 2 – Local capital
3. A. 3 – Foreign-local collaboration
<sup>Note 37:</sup> Percentage share of non-UAE backed startups in 2010-2019 reported as population proportion estimator of number of UAE startups who raised at least 1 startup round in 2010-2019 with participation from a non-UAE investment firm, out of all UAE startup rounds in 2010-2019, p=.836; N=245, 95% CI [.77, .90].
<sup>Note 38:</sup> Percentage share of non-UAE backed startups in 2015-2019 reported as population proportion estimator of number of UAE startups who raised at least 1 startup round in 2015-2019 with participation from a non-UAE investment firm, out of all UAE startup rounds in 2015-2019, p=.864; N=195,95% CI [.79, .94].
<sup>Note 39:</sup> Growth in percentage share of non-UAE backed startups by 2020 reported as difference in population proportion estimator of number of UAE startups who raised at least 1 startup round with participation from a non-UAE investment firm, in 2015-2019 vs 2010-2014, is positive. δ=.21, N<sub>pooled</sub>=245, 95% CI [.07, .36] (statistically significant). For 2015-2019 population proportion estimator, see Note 38. 2010-2014 p=.65, N=50, 95% CI [.52, .78].
<sup>Note 40:</sup> Growth in number of non-UAE investment firms in UAE reported as relative change in non-UAE investment firms who have participated in at least 1 UAE startup round with, in 2015-2019 vs 2010-2014, is positive. δ=3.25, N<sup>pooled</sup>=105, 95% CI [2.73, 3.77] (statistically significant).
<sup>Note 41:</sup> Growth in capital participation from non-UAE investment firms in UAE startups reported as relative change in disclosed UAE startup rounds size with participation from 1+ non-UAE investment firm, in 2015-2019 vs 2010-2014, is positive. δ=.34, N=208, 95% CI [.26, .42] (statistically significant); ⌊95% CI as dollar figure⌋ [379M, 483M]. Size of participated rounds in 2010-2014 and 2015-2019, respectively, ⌊95% CI as dollar figure⌋ ([265M, 288M], [657M, 759M]).
<sup>Note 42:</sup> Percentage share of capital participation from non-UAE investment firms in UAE startups reported as population proportion estimator of disclosed UAE startup rounds size with participation from a non-UAE investment firm out of all UAE startup rounds in 2010-2019, p=.96, N=208, 95% CI [.89, .99]; ⌊95% CI as dollar figure⌋ [913M, 1056M].
<sup>Note 43:</sup> Difference in percentage share of capital participation from non-UAE investment firms in UAE startups reported as difference in population proportion estimator of disclosed UAE startup rounds size with participation from a non-UAE investment firm, in 2010-2014 vs 2010-2019 and 2015-2019 vs 2010-2019, is not statistically significant in every case s.t. 0 ∈ 95% CL. 2010-2014 vs 2010-2019 and 2015-2019 vs 2010-2019, respectively: N=208, 95% CI ([-.08, .08], [-.10, .10]).
<sup>Note 44:</sup> Percentage share of capital participation from non-MENA investment firms in UAE startups reported as population proportion estimator of disclosed UAE startup rounds size with participation from a non-MENA investment firm out of all UAE startup rounds in 2010-2019, p=.89, N=208, 95% CI [.82, .96]; ⌊95% CI as dollar figure⌋ [841M, 977M].
<sup>Note 45:</sup> Difference in percentage share of capital participation from non-UAE investment firms in UAE startups reported as difference in population proportion estimator of disclosed UAE startup rounds size with participation from a non-UAE investment firm, in 2015-2019 vs 2010-2014, is negative. δ=-.08, N=208, 95% CI [-.15, -.004] (statistically significant). For 2010-2014 and 2015-2019 population proportion estimator, respectively, p=(.95, .83), N=208, 95% CI ([.91, .98], [.81, 93]); ⌊95% CI as dollar figure⌋ ([262M, 282M], [597M, 683M).
<sup>Note 46:</sup> Percentage share of UAE-backed startups in 2010-2019 reported as population proportion estimator of number of UAE startups who raised at least 1 startup round in 2010-2019 with participation from a UAE investment firm, out of all UAE startup rounds in 2010-2019, p=.60; N=245, 95% CI [.54, .66].
<sup>Note 47:</sup> Growth in percentage share of UAE-backed startups by 2020 reported as difference in population proportion estimator of number of UAE startups who raised at least 1 startup round with participation from a UAE investment firm, in 2015-2019 vs 2010-2014, is not statistically significant s.t. 0 ∈ 95% CL. N<sub>pooled</sub>=245, 95% CI [-.15, .13]. 2010-2014 and 2015-2019 population proportion estimator, respectively, p=(.60, .59); N=(50, 195), 95% CI ([.48, .73], [.53, .66]).
<sup>Note 48:</sup> Growth in capital participation from UAE investment firms in UAE startups reported as relative change in disclosed UAE startup rounds size with participation from a UAE investment firm, in 2015-2019 vs 2010-2014, is positive and > 3. δ=4.70, N=208, 95% CI [3.52, 5.88] (statistically significant); ⌊95% CI as dollar figure⌋ [148M, 249M]. Size of participated rounds in 2010-2014 and 2015-2019, respectively, ⌊95% CI as dollar figure⌋ ([31M, 53M], [192M, 290M]).
<sup>Note 49:</sup> Percentage share of capital participation from UAE investment firms in UAE startups reported as population proportion estimator of disclosed UAE startup rounds size with participation from a UAE investment firm out of all UAE startup rounds in 2015-2019, p=.33, N=208, 95% CI [.26, .40]; ⌊95% CI as dollar figure⌋ [192M, 290M].
<sup>Note 50:</sup> Difference in percentage share of capital participation from UAE investment firms in UAE startups reported as difference in population proportion estimator of disclosed UAE startup rounds size with participation from a UAE investment firm, in 2015-2019 vs 2010-2014, is positive. δ=.18, N=208, 95% CI [.10, .26] (statistically significant). For 2015-2019 population proportion estimator, see Note 49. 2010-2014 p=.15, N=208, 95% CI [.11, .18].
<sup>Note 51:</sup> Percentage share of UAE startups backed by collaboration between UAE and non-UAE backing in 2015-2019 reported as population proportion estimator of number of UAE startups who raised at least 1 startup round in 2010-2019 with participation from at least 1 UAE and 1 non-UAE investment firms, out of all UAE startup rounds in 2015-2019, p=.437; N=195, 95% CI [.38, .50].
<sup>Note 52:</sup> Growth in percentage share of UAE startups backed by collaboration between UAE and non-UAE backing in 2015-2019 reported as population proportion estimator of number of UAE startups who raised at least 1 startup round with participation from at least 1 UAE and 1 non-UAE investment firms, in 2015-2019 vs 2010-2014, is positive. δ=.19, N=245, 95% CI [.07, .30] (statistically significant). For 2015-2019 population proportion estimator, see Note 51. 2010-2014 p=.25, N=50, 95% CI [.16, .35].
<sup>Note 53:</sup> Growth in capital participation from collaboration of UAE and non-UAE investment firms in UAE startups reported as relative change in disclosed UAE startup rounds size with participation from at least 1 UAE and 1 non-UAE investment firms, in 2015-2019 vs 2010-2014, is positive and > 3. δ=5.9, N=208, 95% CI [4.44, 7.37] (statistically significant); ⌊95% CI as dollar figure⌋ [138M, 230M]. Size of participated rounds in 2010-2014 and 2015-2019, respectively, ⌊95% CI as dollar figure⌋ ([22M, 40M], [170M, 260M]).
Measurement is on year of round announcement.
Statistical significance and effect size are studied through analysis of confidence interval.
CI is Wilson score interval.
Unless explicitly mentioned, alpha = .05.
N is startups aged 2+ years, measured as founded on or before 31 Dec 2017 to allow for median age to raise first startup round to take effect.
‡ Participation in a round does not equal contribution. Due to the nature of data it is not feasible to calculate the actual share of each contributor.
‡ Given the difficulty of attribution due to lack of granular data, we recommend using the insights marked with the double dagger sign (‡) on total capital contribution by investment origin only to gain a sense of direction and relation from the data.
‡ N is the sample size of disclosed rounds 2010-2019.
Rabbie, Eden. (2020). UAE Startup Access To Capital 2010-2020. Startup Report MENA [Online]. https://startupreport.me/uae-startup-access-to-capital-2020 (Based on analysis of 1011 equity-only seed, series A, bridge and series B startup rounds, 443 investors, 4730 ventures in MENA 2008-2019; enriched database: Crunchbase, PitchBook and fieldwork. Data last accessed 30 April 2020).
Newcombe, R. G. (1998). Interval estimation for the difference between independent proportions: comparison of eleven methods. Statistics in medicine, 17: 873-890. doi:10.1002/(SICI)1097-0258(19980430)17:8<873::AID-SIM779>3.0.CO;2-I
Newcombe, R. G. (2001). Estimating the difference between differences: measurement of additive scale interaction for proportions. Statistics in medicine, 20: 2885-2893. doi:10.1002/sim.925
Wallis, S. (2013). Binomial Confidence Intervals and Contingency Tests: Mathematical Fundamentals and the Evaluation of Alternative Methods. Journal of Quantitative Linguistics, 20:3, 178-208. doi:10.1080/09296174.2013.799918
3. B – A flattening curve
3. B. 1
3. B. 2 – Investment firms situation by 2020
<sup>Note 54:</sup> Difference in number of investment firms who participated in at least 1 UAE startup round, in 2019 vs 2018 and 2019 vs 2017, is not statistically significant. Difference in 2019 vs 2018 and 2019 vs 2017, respectively: N=150, Wilson p’ 95% CI ([-.07, .15], [-.06, .16]); ⌊95% CI⌋ ([-10, 22], [-9, 23]). Active firms in 2017, …, 2019, respectively, Wilson p’ 95% CI ([.25, .40], [.24, .39], [.28, .44]); ⌊95% CI⌋ ([37, 60], [36, 59], [42, 66]).
<sup>Note 55:</sup> Difference in number of investment firms who participated in at least 1 UAE startup round, in 2019 vs years 2010-2016, is positive. Difference in 2019 vs 2010, …, 2019 vs 2016, respectively, δ=(47, 53, 46, 37, 43, 27, 18), N=150, Wilson p’ 95% CI ([.22, .39], [.26, .43], [.21, .39], [.14, .34], [.19, 37], [.07, .28], [.01, .22]) (statistically significant in each case); ⌊95% CI⌋ ([33, 60], [40, 65], [32, 59], [22, 51], [28, 56], [11, 42], [1, 33]) (statistically significant in each case). Active firms in 2010, …., 2016, respectively: Wilson p’ 95% CI ([.02, .10], [.0003, .04], [.03, .11], [.07, .18], [.04, .13], [.12, .25], [.18, .32]); ⌊95% CI⌋ ([3, 14], [0, 6], [3, 15], [10, 26], [5, 19], [18, 37], [26, 47]).
<sup>Note 56:</sup> Percentage share of investment firms who participated in at least 1 UAE startup round in 2019 out of all UAE startup rounds in 2015-2019, p=.47; N=150, 95% CI [.39, .55].
<sup>Note 57:</sup> Growth rate in yearly active investment firms studied as rolling 5-yr CAGR of number of investment firms who participated in at least 1 UAE startup round in a year in periods of 5 years, 2015-2019 vs 2013-2017 and 2015-2019 vs 2014-2018, is not statistically significant; respectively: N=150, 95% CI ([-.18, .04], [-.17, -.05]). 2013-2017, …, 2015-2019 5-yr CAGR, respectively, 95% CI ([.29, .44], [.28, 43], [.21, .37]).
<sup>Note 58:</sup>Growth rate in yearly active investment firms studied as rolling 5-yr CAGR of number of investment firms who participated in at least 1 UAE startup round in a year in periods of 5 years, 2015-2019 vs 2011-2015, is negative. δ=-.26, N=150, 95% CI [-.36, -.15] (statistically significant); δ/G=-46%. For 2015-2109 5-yr CAGR, see Note 57. 2011-2015 5-yr CAGR 95% CI ([.48, .61]).
<sup>Note 59:</sup> Absolute rate of attracting new investment firms to invest in UAE startups reported as difference in distinct number of investment firms who have participated in at least 1 UAE startup round for the first time, in 2019 vs 2015, …, 2019 vs 2018, is not statistically significant in each case; respectively: N=150, ⌊95% CI⌋ ([-7, 19], [-3, 21], [-10, 16], [-11, 15]); Wilson p’ 95% CI ([-.05, .13], [-.03, .14], [-.07, .11], [-.08, .10]). New firms in 2015, …, 2019, respectively, ⌊95% CI⌋ ([13, 31], [11, 27], [16, 34], [16, 53], [18, 37]); Wilson p’ 95% CI ([.09, .21], [.07, .19], [.11, .23], [.11, .24], [.12, .25]).
<sup>Note 60:</sup> Absolute rate of retaining investment firms in UAE venture space reported as difference in distinct number of investment firms who had participated in a UAE startup rounds in 2 different years, including measurement year, measured on the latest year, in 2019 vs 2016, …, 2019 vs 2018, is not statistically significant in each case; respectively: N=150, ⌊95% CI⌋ ([-3, 21], [-10, 16], [-8, 18]); Wilson p’ 95% CI ([-.03, .14], [-.07, .11], [-.06, .12]). Retained firms in 2016, …, 2019, respectively, ⌊95% CI⌋ ([11, 27], [16, 34], [14, 32], [18, 37]); Wilson p’ 95% CI ([.07, .19], [.11, 23], [.10, .22], [.12, .25]).
<sup>Note 61:</sup> Difference in churned investment firms in 2018 reported as distinct number of investment firms who had participated in a UAE startup rounds in a previous year, and none in measurement year in 2018 vs 2017, is positive. Relative change in churned firms in 2018 = 1.00, N=150, 95% CI [0.93, 1.07]; δ=15, ⌊95% CI⌋ [2, 27]; Wilson p’ 95% CI [.01, .18]. Churned firms in 2017 and 2018, respectively, ⌊95% CI⌋ ([8, 24], [21, 41]); computed local p* 95% CI ([.09, .25], [.17, .34]).
<sup>Note 62:</sup> Comparison in churned investment firms in 2018 vs 2011-2017 reported as difference in distinct number of investment firms who had participated in a UAE startup rounds in a previous year, and none in measurement year in 2018 vs 2011, …, 2018 vs 2016, is positive in each case; respectively, δ=(23, 29, 26, 18, 22, 19), N=150, ⌊95% CI⌋ ([10, 33], [17, 39], [13, 36], [4, 29], [9, 32], [5, 30], [1, 26]) (statistically significant in each case); Wilson p’ 95% CI ([.13, .26], [.07, .23], [.12, .26], [.09, .24], [.03, .20], [.06, .22], [.04, .20], [.01, .18]). For 2018 vs 2017, see Note 61. For churned firms in 2018 and 2019, see Note 61. Churned firms in 2011, …, 2016, respectively, ⌊95% CI⌋ ([3, 14], [0, 6], [1, 10], [6, 20], [3, 15], [5, 19]); computed local p* 95% CI ([.39, .99], [.00, .40], [.04, .37], [.19, .59], [.07, .28], [.08, .26]).
<sup>Note 62:</sup> Difference in churned investment firms in 2019 vs 2018 reported as distinct number of investment firms who had participated in a UAE startup rounds in a previous year, and none in measurement year in 2019 vs 2018, is not statistically significant. N=150, ⌊95% CI⌋ [-15, 13]; Wilson p’ 95% CI [-.10, .09]. Churned firms in 2018 and 2019, respectively, ⌊95% CI⌋ ([21, 41], [20, 40]); computed local p* 95% CI ([.17, .34], [.14, .27]).
<sup>Note 64:</sup> Comparison of new investment firms in 2019 vs 2015-2018 reported as difference in distinct number of investment firms who have participated in at least 1 UAE startup round for the first time, in 2019 vs 2015, …, 2019 vs 2018, is not statistically significant; respectively: N=150, ⌊95% CI⌋ ([-7, 19], [-3, 21], [-10, 16], [-11, 15]); Wilson p’ 95% CI ([-.05, .13], [-.03, .14], [-.07, .11], [-.08, .10]). New firms joining in 2015, …, 2019, respectively, ⌊95% CI⌋ ([13, 31], [11, 27], [16, 34], [16, 35], [18, 37]); computed local p* 95% CI ([.24, .56], [.15, .38], [.16, .35], [.14, .29], [.12, .25]). The figure mentioned in the insight text is “New firms joining” for 2019 with CI.
<sup>Note 65:</sup> Comparison of retained investment firms in 2019 vs 2016-2018 reported as difference in distinct number of investment firms had participated in a UAE startup rounds in 2 different years including measurement year, measured on the latest year, in 2019 vs 2016, …, 2019 vs 2018, is not statistically significant; respectively: N=150, ⌊95% CI⌋ ([-3, 21], [-10, 16], [-8, 18]); Wilson p’ 95% CI ([-.03, .14], [-.07, .11], [-.06, .12]). Retained firms in 2016, …, 2019, respectively, ⌊95% CI⌋ ([11, 27], [16, 34], [14, 32], [18, 37]); computed local p* 95% CI ([.16, .35], [.12, .26], [.12, .25]). The figure mentioned in the insight text is “Retained firms” for 2019 with CI.
<sup>Note 66:</sup> Churned investment firms in 2019 reported as distinct number of investment firms who had participated in a UAE startup rounds in a previous year and none in 2019 = 29. N=150, ⌊95% CI⌋ [20, 40]. This is the figure mentioned in the insight text. For more details, see Notes 61, 62 and 63.
<sup>Note 67:</sup> Comparison of new investment firms vs retained vs churned in 2015-2019 reported as difference in 5-yr exponential moving average of F) investment firms who have participated in at least 1 UAE startup round for the first time; G) investment firms had participated in a UAE startup rounds in 2 different years including measurement year, measured on the latest year; and H) investment firms who had participated in a UAE startup rounds in a previous year and none in measurement year; with 2015-2019 as measurement period, for F vs G, G vs H, and F vs H, is not statistically significant in each case; respectively, N=150, ⌊95% CI⌋=([-10, 14], [-11, 14], [-13, 11]); Wilson p’ 95% CI ([-.07, .10], [-.07, .09], [-.09, .08]). ⌊EMA⌋ for F, G and H, respectively = (22, 19, 20); N=115, ⌊95% CI⌋ ([14, 32], [12, 30], [13, 31]).
Measurement is on year of round announcement.
Statistical significance and effect size are studied through analysis of confidence interval.
CI is Wilson score interval.
Unless explicitly mentioned, alpha = .05.
N is sample size of investment firms active in 2010-2019, unless context shows otherwise.
Rabbie, Eden. (2020). UAE Startup Access To Capital 2010-2020. Startup Report MENA [Online]. https://startupreport.me/uae-startup-access-to-capital-2020 (Based on analysis of 1011 equity-only seed, series A, bridge and series B startup rounds, 443 investors, 4730 ventures in MENA 2008-2019; enriched database: Crunchbase, PitchBook and fieldwork. Data last accessed 30 April 2020).
Newcombe, R. G. (1998). Interval estimation for the difference between independent proportions: comparison of eleven methods. Statistics in medicine, 17: 873-890. doi:10.1002/(SICI)1097-0258(19980430)17:8<873::AID-SIM779>3.0.CO;2-I
Newcombe, R. G. (2001). Estimating the difference between differences: measurement of additive scale interaction for proportions. Statistics in medicine, 20: 2885-2893. doi:10.1002/sim.925
Wallis, S. (2013). Binomial Confidence Intervals and Contingency Tests: Mathematical Fundamentals and the Evaluation of Alternative Methods. Journal of Quantitative Linguistics, 20:3, 178-208. doi:10.1080/09296174.2013.799918
3. B. 3
Reference point: 1/1/2020
<sup>Note 68:</sup> Percentage share of churned investment firms by 2020 reported as distinct number of investment firms who had last participated in a UAE startup rounds 2+ years before 2019, p=.684; N=150, ⌊95% CI⌋ (54, 79); N’=98, 95% CI [.46, .81].
<sup>Note 69:</sup> Percentage share of churned investment firms between 2015 and 2019 reported as distinct number of investment firms who had last participated in a UAE startup rounds between 2015 and 2017, p=.68; N=150, ⌊95% CI⌋ (32, 55); N’=63, 95% CI [.52, .87].
Measurement is on year of round announcement.
CI is Wilson score interval.
N is sample size of investment firms active in 2010-2019, unless context shows otherwise.
Rabbie, Eden. (2020). UAE Startup Access To Capital 2010-2020. Startup Report MENA [Online]. https://startupreport.me/uae-startup-access-to-capital-2020 (Based on analysis of 1011 equity-only seed, series A, bridge and series B startup rounds, 443 investors, 4730 ventures in MENA 2008-2019; enriched database: Crunchbase, PitchBook and fieldwork. Data last accessed 30 April 2020).
Newcombe, R. G. (1998). Interval estimation for the difference between independent proportions: comparison of eleven methods. Statistics in medicine, 17: 873-890. doi:10.1002/(SICI)1097-0258(19980430)17:8<873::AID-SIM779>3.0.CO;2-I
Wallis, S. (2013). Binomial Confidence Intervals and Contingency Tests: Mathematical Fundamentals and the Evaluation of Alternative Methods. Journal of Quantitative Linguistics, 20:3, 178-208. doi:10.1080/09296174.2013.799918
3. B. 4
3. B. 5 – One-off investors
Comparison: One-offs out of all active firms, UAE one-off out of all active UAE firms, non-UAE one-off of all active non-UAE firms
<sup>Note 73:</sup> Percentage share of one-off investment firms by 2020 reported as distinct number and population proportion estimator of investment firms who had last participated in 1+ UAE startup rounds in only 1 year on or before 2018, measured on 1/1/2020, p=.57. o=70. N=150, ⌊95% CI⌋ [57, 82]; N’=123, 95% CI [.47, .67].
<sup>Note 74:</sup> Percentage share of one-off non-UAE investment firms by 2020 of all active non-UAE firms reported as population proportion estimator of distinct number of non-UAE investment firms who had last participated in 1+ UAE startup rounds in only 1 year on or before 2018 out of non-UAE firms who invested in 1+ UAE startup rounds before 2019, measured on 1/1/2020, p=.66. N=150, ⌊95% CI⌋ [45, 69]; N’=86, 95% CI [.53, .81].
<sup>Note 75:</sup> Percentage share of one-off non-UAE investment firms by 2020 of all active UAE firms reported as population proportion estimator of distinct number of UAE investment firms who had last participated in 1+ UAE startup rounds in only 1 year on or before 2018 out of UAE firms who invested in 1+ UAE startup rounds before 2019, measured on 1/1/2020, p=.35. N=150, ⌊95% CI⌋ [7, 22]; N’=37, 95% CI [.20, .59].
Measurement is on year of round announcement.
CI is Wilson score interval.
N is sample size of investment firms active in 2010-2019, unless context shows otherwise.
Rabbie, Eden. (2020). UAE Startup Access To Capital 2010-2020. Startup Report MENA [Online]. https://startupreport.me/uae-startup-access-to-capital-2020 (Based on analysis of 1011 equity-only seed, series A, bridge and series B startup rounds, 443 investors, 4730 ventures in MENA 2008-2019; enriched database: Crunchbase, PitchBook and fieldwork. Data last accessed 30 April 2020).
Newcombe, R. G. (1998). Interval estimation for the difference between independent proportions: comparison of eleven methods. Statistics in medicine, 17: 873-890. doi:10.1002/(SICI)1097-0258(19980430)17:8<873::AID-SIM779>3.0.CO;2-I
Wallis, S. (2013). Binomial Confidence Intervals and Contingency Tests: Mathematical Fundamentals and the Evaluation of Alternative Methods. Journal of Quantitative Linguistics, 20:3, 178-208. doi:10.1080/09296174.2013.799918
Remarks
Why do investment firms leave?
While the cyclical nature of funds lifecycle can explain cyclical churn, it fails to explain the high number of firms who left and never came back, as it fails to explain why we are left with only 23 investors as the consistent base for an entire ecosystem.
What happens on the investor side? Did they run out of funding? Have they lost interest in startups altogether to favor less risky vehicles? Do they prefer to invest abroad in larger rounds and more advanced stages?
We find out the answer to these questions in the next section.
Data Analytics and Commercialization in MENA
– 12 years of experience working with governments developing their SME sectors.
– Data science background, CIM, Six Sigma. Japanese-trained.
– Featured author on Medium.
Worked 8 years with the Japanese government to help MENA governments develop their SME sectors, followed by 3 years with UAE government to grow its venture space.
Copyright © startupreport.me and Eden Rabbie 2020-2023. Startup Report MENA is operated by Clearworld, PO Box 415816 Dubai, UAE.
You may use any part of this report for any purpose on condition that you link to it and cite it properly.
Rabbie, Eden. (2020). UAE Startup Access To Capital 2010-2020. Startup Report MENA [Online]. https://startupreport.me/uae-startup-access-to-capital-2020
Do you have information that can make this report more accurate? Do you want to discuss the findings? Are you a researcher and you need access to the study’s details? Reach out and we will arrange for it.