新興及未來獨角獸公司（2022上半年更新）

2021 年是創企達到 10 億美元大關的豐收年。 2021年獨角獸企業總數為523家，比2020年的100家增長5倍，保持獨角獸企業地位。 2021 年的獨角獸熱潮歸因於初創公司在因 COVID-19（教育科技、電子商務等）而變得更加相關的行業中迅速採用技術，以及創新服務產品引發的資金熱潮。這是可能的。 2022年上半年共誕生212家獨角獸企業，較2021年上半年減少約15%。無論是自動化任務、幫助金融機構檢測和預防欺詐，還是提供新一代醫療和生物技術解決方案，初創企業都在利用人工智能 (AI) 和機器學習的巨大潛力來釋放所有領域的商機。我正在努力抓住具有尖端跨行業專業知識的創新型初創企業預計將成為明天的獨角獸。

本報告探討了新興和未來的獨角獸公司，並提供了詳細信息，包括結合初創公司記分卡和機器學習模型對未來獨角獸公司的預測。

內容

內容

• 現有獨角獸公司的更新：從推出到 2022 年上半年
• 部門、區域和專題報導
• 過去 8 個季度的獨角獸數量：Q-o-Q 比較

第 212 章 2022 年上半年成為獨角獸的初創公司

• 支持大多數獨角獸公司的頂級投資者
• 預測 2022 年上半年未來獨角獸公司的準確率達到 45% 或更高
• 部門、區域和專題報導
• 2022 年第一季度機器學習模型正確預測的 127 只獨角獸中有 59 隻的亮點
• 2022 年第二季度機器學習模型正確預測的 85 只獨角獸中有 41 隻的亮點
• 對可能成為未來獨角獸的新創業公司的預測
• ML 模型預測 2022 年第一季度未來將成為新獨角獸的 50 家初創公司的亮點
• 預測 ML 將在 2022 年第二季度成為未來新獨角獸的 50 家初創公司的亮點
• Decacorn 公司亮點：估值超過 100 億美元的現有獨角獸公司
• 2021 年公佈的 IPO 和 SPAC 亮點

Strong tailwind with respect to Multiple theme like AI, Machine learning adoption for multiple applications by Startups is expected to create several future Unicorns. Whether to automate tasks or assist financial institutions in fraud detection and prevention or provide new generation medical and biotech solutions, startups are harnessing the disruptive power of Artificial Intelligence (AI), Machine Learning to capture opportunities in all the sectors. A whole raft of innovative startups with cutting-edge expertise spanning sectors are predicted to become tomorrow's unicorns.

2021 was a blockbuster year with more startups entering the billion-dollar club than ever before. A total of 523 companies from 2021 have maintained their unicorn status, up five-folds as compared to 100 unicorns from 2020. The unicorn boom for 2021 can be attributed to funding frenzy fueled by rapid adoption of technology and innovative offerings by startups in areas (such as EdTech, E-commerce, among others) gaining relevance due to Covid-19.The startup ecosystem, which was on a unicorn creation spree last year, is currently facing funding crunch as investors are looking for sustainable business models, valuations and a path to profitability amid the volatile market conditions. A total of 212 unicorns were created in H1 2022, a decline of ~15% compared to H1 2021.

Key Highlights

North America and APAC regions that managed to create triple-digit new unicorns in 2021, suffered setback in 2022. North America saw creation of 126 unicorns in H1 2022, compared to 324 unicorns in 2021 (full year).APAC saw creation of 35 unicorns in H1 2022 compared to 103 during 2021 (full year).Out of the 35 unicorns from APAC for 2022 so far, India & China accounted for 69%, with India minting 17 and followed by China with 7 new unicorns. Out of 127 Startups that turned Unicorns in 1Q2022, 59 Startups were predicted by GlobalData's Unicorn Prediction Model Out of 85 Startups that turned Unicorns in 2Q2022, 41 Startups were predicted by GlobalData's Unicorn Prediction Model Overall, out of 212 Startups which turned Unicorns in 1H2022, 100 Startups were correctly predicted by our ML Model, thereby achieving an accuracy rate of more than 45%

Scope

• Predicting Future Unicorns by combining Startup Scorecard and Machine Learning model. Investments trends in Startups over the years. Prediction that came out to be true in recent years.

Reasons to Buy

• GlobalData's Potential Unicorns list offers early predictive intelligence and enables to spot tomorrow's winners today. The model identifies venture funded companies which have the potential to become unicorns (a valuation of at least $1 billion) driven by GlobalData's proprietary machine learning algorithm which decodes millions of interactions between key deal attributes.

Table of Contents

Table of Contents

• Existing Unicorns Update: Inception till 1H2022
• Coverage by Sector, Geography and Themes
• Number of Unicorns in last 8 Quarters: Q-o-Q Comparison

212 Startups that became Unicorns in 1H2022

• Top Investors Backing Most Unicorns
• Predicting Future Unicorns with 45%+ Accuracy in 1H2022
• Coverage by Sector, Geography and Themes
• Highlighting 59 Unicorns out of 127 that our ML model predicted correctly in 1Q2022
• Highlighting 41 Unicorns out of 85 that our ML model predicted correctly in 2Q2022
• Predicting New Startups that have the potential to become Future Unicorns
• Highlighting 50 Startups our ML Model predicted in 1Q2022 to become new Unicorns in future
• Highlighting 50 Startups our ML predicted in 2Q2022 to become new Unicorns in future
• Highlighting Decacorns: Existing Unicorns with >$10bn Valuation
• Highlighting IPOs & SPACs Announced in 2021

List of Tables

List of Tables

• Q1 2022: Recent Unicorns Predictions Coming True : Highlighting Rest Startups Q2 2022: Recent Unicorns Predictions Coming True: Technology & Communication Sector Q2 2022: Recent Unicorns Predictions Coming True : Highlighting Rest Startups Q1 2022: New Predicted Unicorns: Highlighting Other Startups Q2 2022: New Predicted Unicorns: Highlighting Other Startups

List of Figures

List of Figures

• Existing Unicorns - Split by Geography and Sector Existing Unicorns Focal Point: Key Themes Gaining Big Bets Unicorn Gold Rush Existing Unicorns: Geographical Spread Unicorn Predictions by Sector Unicorn Predictions by Geography