Future Unicorns in Artificial Intelligence (AI)

Strong tailwind with respect to AI adoption for multiple applications by Startups is expected to disrupt several sectors in the future. 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) to capture opportunities in all the sectors. A whole raft of innovative AI startups with cutting-edge expertise spanning sectors are predicted to become tomorrow’s unicorns

Scope

Based on GlobalData’s proprietary ranking of 10,000 top startups, 1,009 AI startups globally are shortlisted, of which 263 AI startups are predicted to become future unicorns based on GlobalData’s proprietary Machine Learning Model. The 10,000 top startups are spread over 70 countries with the US accounting for half of them, followed by China. Critical sectors in the startup universe include TMT (55%), Pharmaceuticals and Healthcare (11%), Financial Services (7%), and Retailing (4%), followed by other sectors.

Predicting Future AI Unicorns by combining Startup Scorecard and Machine Learning model using 3 broad Patenting, Hiring and Investments trends in AI Startups over the years. Unicorn Prediction came out to be true in recent years.

Key Highlights

The report highlights potential unicorns in the AI (artificial intelligence) market ecosystem and covers insights on VC investments, stage of startups, AI regional investment activity, job analytics, company filing trends, and patenting activity. Comprehensive view on innovative AI startups with cutting-edge expertise spanning across sectors are predicted to become tomorrow’s unicorns.

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.

Companies mentioned

People.ai, Lucidworks, Reonomy, Labelbox,Rokid, Brain Corporation, Flybits, Zetigold, Synthego, Human API, Kasisto, Conversica, Anagog, Flock Freight, Hyperscience, ORBO, Intelligence Node, RipCord, Nexar, Misorobotics, One Concern, edcast, Huma, Signal ai, loop me

Table of Contents

Table of Contents (PowerPoint Deck)

1) AI Landscape

1.1) VC investment trend in AI

1.2) AI investment by stage of startups

1.3) AI regional investment activity

1.4) AI Patent Trends

1.5) AI Hiring Trends

1.6) AI Company Filing Analysis

2) Future AI Unicorns

3) Methodology

    Pricing

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