Why Venture Capitalists are Betting on AI Accelerator Startups?

HOUSTON - April 23, 2019 - PRLog -- Industry Essence published a handbook on "Artificial Intelligence (AI) Accelerator Market Guide for Venture Capitalists: Investment Trends, Technological Insights, High-Growth Potential Markets, Promising Startups, & Forecasts 2018-2025"

Joseph Schumpeter (1883-1950), an Austrian economist, economic historian & capitalist developed innovation theory of trade cycles in 1942. According to Schumpeter's 'Creative Destruction' theory, creative destruction is a process in which new technologies, new products, new methods of production and distribution make old ones obsolete, forcing existing entrepreneurs to quickly adapt to a new environment or fail. Schumpeter's theory is still appropriate in the Artificial Intelligence era. Industry has seen striking growth in the field of Artificial Intelligence (AI) over the past decade. AI and Internet of Things (IOT) have propelled industrial revolution 4.0, which is projected to completely transform our lives. Considering major developments in the AI, Machine Learning (ML), and Deep Learning (DL) technologies, Industry Essence has published several technology and market research reports in the past, covering AI hardware, software, and service markets. However, after conducting over 400 primary interviews for our AI and associated technology research reports, our team identified a need to offer a comprehensive market and technological insight research report, particularly for investors. Just to be sure, we then connected with around 52 Venture Capitalists (VCs) over the globe and discussed on rapidly growing AI, ML, & DL technology markets, VCs role, investor specific market insight needs, technological research needs, and on other associated areas. From these discussions, we learn the need to work on a specific syndicate research report related to- AI accelerators/chipsets for VCs, angel investors, incubators, corporate investors, banks, investment bankers, and government agencies.

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AI performs complex tasks of learning and cognition at a level that matches or exceeds that of human performance; therefore it's a distinct technology from the perspective of business models and value creation. Every time a new technology has successfully developed in the AI market, it has been tagged as a complete new industry, for example, search engines, speech recognition, voice recognition, industrial robotics, autonomous vehicles, computer vision, and many others. Globally business leaders have great expectations from the AI technology than any other emerging technologies, including Internet of Things (IoT), Blockchain, and Augmented and Virtual Reality.

Considering the huge potential of AI to create a massive impact on global economies in the coming years, investors are aggressively investing in AI technology startups. In 2018, Venture Capitalists (VCs) invested around 25 Billion USD worldwide in AI technology startups. In past six years, the market has witnessed hefty million dollar investments in AI startups.

In the global AI technology market, over 150 VCs are actively investing in AI startups. Some of these are Google Ventures, Y Combinator, Kleiner Perkins Caufield & Byers, Data Collective, New Enterprise Associates, Accel, Norwest Venture Partners, Techstars, Khosla Ventures, and Intel Capital among many others. Though the VCs are raising large capital to invest in AI technologies, Industry Essence analyst team has critically analyzed the AI trend- AI just a technological hype or it will actually deliver what it promises?

AI Accelerator market offers range of attractive investment opportunities for VCs. The AI technology market can be segmented by different AI accelerators by infrastructure, technology types, chipset type, processors, by technology types, innovative AI computing, end-user industry applications, regions and countries.

In this research report, we comprehensively analyze AI Accelerator market including AI network and memory segments and cloud/datacenter & on edge accelerators. The report will definitely add a great value at multiple decision points for VCs, right from primary market understanding to VC investment decisions at various funding stages in AI startups. There are more than 5000 startups worldwide, developing AI, ML, DL, and other intelligent technologies. In this report, we are analyzing entire market ecosystem, analyzing VCs (investors), Intellectual Property (IP) vendors, technology giants, startup ecosystem, IC & semiconductor companies, and end industry users.

Hey! Have you already invested in AI accelerator/chipset company/companies and looking to invest in a technology pioneer? Yes, there's plenty of room! In past couple of years, few startups are innovating at architecture level to accelerate neural networks to next level. It includes optical computing, analog computing, Processing in Memory (PiM), and neuromorphic computing architectures. These startups are projected to disrupt the market exceptionally in the coming years, therefore VCs can go a step further and invest in these multi-billion dollar technologies.

A list of Venture Capitalists actively investing in AI & Associated Technologies
500 Startups
Accel Partners
AI Capital
Alpine Technology Fund
Amadeus Capital Partners
AME Cloud Ventures
Andreessen Horowitz
ASGARD
Balderton Capital
Battery Ventures
Bessemer Ventures
Bloomberg Beta
Bpifrance
C4 Ventures
Charles River VC
Citi Ventures
Cognitive Ventures
Combient AB
Comcast Ventures
Comet labs
Data Collective
Dell Technologies Capital
Enterprise Ireland
Entrepreneur First
Ericsson Ventures
Felicis Ventures
First Round
FirstMark
Founder Collective
Founders Fund
GE Ventures
General Catalyst
GGV Capital
Google ventures
Horizons Ventures
IA Ventures
In-Q-Tel
Intel Capital
Khosla Ventures
Kima Ventures
LDV capital
Lightspeed Venture Partners
Localglobe
London Co-Investment Fund
Lux Capital
M12 VC (Microsoft)
Madrona Venture Group
Mahindra Partners
Motorola Solutions Venture Capital
New Enterprise Associates
Octopus Ventures
Passion Capital
Pi Ventures
Plug and Play
Qualcomm Ventures
Rakuten Ventures
Real Ventures
Robert Bosch VC
RRE Ventures
SAIC Capital
Salesforce Ventures
Samsung Ventures
SEED Capital Denmark
Seedcamp
Sequoia Capital
Social Starts
Softbank
SOSV
Sunstone Capital
SV Angel
Techstars
Tencent
Touchstone Innovations
True Ventures
Two Sigma Ventures
Wipro Ventures
Y Combinator
Zeroth AI
Zetta Venture Partners
ZhenFun