新兴及未来独角兽公司（2022上半年更新）

2021 年是创企达到 10 亿美元大关的丰收年。 2021年独角兽企业总数为523家，比2020年的100家增长5倍，保持独角兽企业地位。 2021 年的独角兽热潮归因于初创公司在因 COVID-19（教育科技、电子商务等）而变得更加相关的行业中迅速采用技术，以及创新服务产品引发的资金热潮。这是可能的。 2022年上半年共诞生212家独角兽企业，较2021年上半年减少约15%。无论是自动化任务、帮助金融机构检测和预防欺诈，还是提供新一代医疗和生物技术解决方案，初创企业都在利用人工智能 (AI) 和机器学习的巨大潜力来释放所有领域的商机。我正在努力抓住具有尖端跨行业专业知识的创新型初创企业预计将成为明天的独角兽。

本报告探讨了新兴和未来的独角兽公司，并提供了详细信息，包括结合初创公司记分卡和机器学习模型对未来独角兽公司的预测。

内容

内容

• 现有独角兽公司的更新：从推出到 2022 年上半年
• 部门、区域和专题报导
• 过去 8 个季度的独角兽数量：Q-o-Q 比较

第 212 章 2022 年上半年成为独角兽的初创公司

• 支持大多数独角兽公司的顶级投资者
• 预测 2022 年上半年未来独角兽公司的准确率达到 45% 或更高
• 部门、区域和专题报导
• 2022 年第一季度机器学习模型正确预测的 127 只独角兽中有 59 隻的亮点
• 2022 年第二季度机器学习模型正确预测的 85 只独角兽中有 41 隻的亮点
• 对可能成为未来独角兽的新创业公司的预测
• ML 模型预测 2022 年第一季度未来将成为新独角兽的 50 家初创公司的亮点
• 预测 ML 将在 2022 年第二季度成为未来新独角兽的 50 家初创公司的亮点
• Decacorn 公司亮点：估值超过 100 亿美元的现有独角兽公司
• 2021 年公布的 IPO 和 SPAC 亮点

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