Industry Essence's latest market research report states- 38% VC professionals favored AI Chipset/Hardware market for investment over other emerging technologies

Industry Essence (NYSE:IDES)

NEW YORK, NEW YORK, UNITED STATES, June 14, 2019 /EINPresswire.com/ -- 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. The technology isn’t completely new to us; though the term “AI” initially coined in 1955, scholars have been originating it from centuries. 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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The AI technology adoption rate was tripled globally in 2018, with one in seven companies have adopted the technology. Maturing AI technology, increasing awareness and investments, falling technology cost, and easy availability of open source APIs are motivating the enterprises to adopt the technology quickly. Chinese companies are frontrunners in terms of AI adoption rate, around 31% companies have already adopted the AI technology in some form in mainstream operations and rests are rapidly finding their ways to implement it. US ranked second with 23% AI adoption rate, followed by India, UK, France, Germany, Japan, and many others.

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. 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. Industry Essence is analyzing these market segments and potential investment opportunities for VCs.

While conducting primary interviews, we came across different challenges faced by VCs and startups at different stages, our analyst team has analyzed and offered solutions and recommendations on these topics.

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. We’ve analyzed a range of promising startups working on these innovative technologies and profiled them in the report.

AI Data Center Accelerator Market is segmented on the basis of technologies- machine learning, natural language processing, vision computing, and contextual computing. Machine learning market is further sub segmented as- deep learning, supervised learning, un-supervised learning, and reinforcement learning among others.

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

John S
Industry Essence
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