Cloud AI Market to Register an Impressive CAGR of 20.0% During 2018 – 2023 | Global Key Players – AWS, Microsoft, Google, IBM, Intel, Nvidia, Salesforce.com

Marketprognosis.com Publish a New Market Research Report On “Global Cloud AI Market 2018 - 2023” which contains global key player’s survey information and forecast to 2023.

Overview of the Global Cloud AI Market:

The Global Cloud AI Market is expected to register a CAGR of over 20% during the forecast period (2018 - 2023).

The scope of the report is limited to type such as solution and service, end-user vertical including BFSI, healthcare, automotive, retail, agriculture, manufacturing, and others. The regions considered in the scope of the report include North America, Europe, Asia Pacific, Latin America, and Middle East and Africa. The study also emphasizes the benefits of cloud AI in accordance with diverse application and future prospect of the same.

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The increasing volume of big data from diverse industries is compelling the companies to integrate artificial intelligence to enhance consumer experience and handle enormous data. Earlier, data scientists had 80-20 rule wherein 80% of the time was spent to identify and clean data and rest for analysis. However, the introduction of cloud-based artificial intelligence performs data finding and cleaning which ease the former work and provides a high timeframe for data analysis which is expected to propel the market growth over the forecast period. The rapid adoption of AI in industries such as retail and manufacturing is projected to increase at a rapid pace. According to The Economist, about 90% of the companies have adopted the utilization of cloud as their primary component of the business. Additionally, the solution providers are focusing more on the incorporation of artificial intelligence along with cloud which will be highly preferred over conventional offering owing to automating most of the data cleaning and sorting activities. In addition, the companies are preferring cloud over on-premise AI owing to faster delivery time with low latency and real-time tracking which is likely to foster the market growth over the next six years.

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Currently, the cloud AI market in the Asia Pacific is at a nascent stage. However, increasing awareness in the region about the benefits offered by the technology is projected to fuel the market. Additionally, countries such as China and India are highly investing in the adoption of artificial intelligence in various industries such as retail and manufacturing which will further propel the market growth over the forecast period. Moreover, there are diverse ongoing researches on artificial intelligence including cloud-based which further is expected to boost the market growth over the next six years.

Major Key Players:

1 Amazon Web Services, Inc.

2 Microsoft Corporation

3 Google LLC

4 IBM Corporation

5 Intel Corporation

6 Nvidia Corporation

7 CLOUDMINDS TECHNOLOGY

8 AIBrain LLC

9 Salesforce.com, Inc. and More………………

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What Information does this report contain?

1 A detailed analysis of regulatory trends, drivers, industry pitfalls, challenges and growth opportunities for participants

2 Which are the leading market products, applications & regions and how will they perform by 2023?

3 What are the technologies & innovation trends, how will they evolve by 2023?

4 Which companies lead the industry, how are they positioned in the market in terms of sustainability, competency, production capacity and strategic outlook?

In the end, this report covers data and information on capacity and production overview, production, market share analysis, sales overview, supply, sales, and shortage, import, export and consumption as well as cost, price, revenue and gross margin of Cloud AI Market.

Table of Contents:

1 Introduction

2 Cloud AI Market Research Approach and Methodology

3 Executive Summary

4 Cloud AI Market Dynamics

5 Global Cloud AI Market Segmentation

6 Competitive Intelligence - Company Profiles

7 Investment Analysis

8 Opportunities in Global Cloud AI Market

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This release was published on openPR.