Global Enterprise AI Market


Posted May 15, 2021 by chetanag

Global Enterprise AI Market is expected to reach USD XX Million by 2026 from USD 1,455.68 Million in 2018 at a CAGR of XX %.
 
Global Enterprise AI Market is expected to reach USD XX Million by 2026 from USD 1,455.68 Million in 2018 at a CAGR of XX %.



The report includes the analysis of impact of COVID-19 lock-down on the revenue of market leaders, followers, and disrupters. Since lock down was implemented differently in different regions and countries, impact of same is also different by regions and segments. The report has covered the current short term and long term impact on the market, same will help decision makers to prepare the outline for short term and long term strategies for companies by region.





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This is a comprehensive global report focused on the current and future prospects of the Global Enterprise AI Market. This report is a consolidation of primary and secondary research, which provides market size, share, dynamics, and forecast for various segments and sub-segments considering the macro and micro environmental factors. An in-depth analysis of past trends, future trends, demographics, technological advancements, and regulatory requirements for the Enterprise AI Market has been done in order to calculate the growth rates for each segments and sub-segments.



Enterprises are undoubtedly identifying the value related with incorporation of artificial intelligence (AI) into the business processes. The various pilot programs and proof-of-concept programs continues to grow, and expand on larger scale commercialized deployments of AI technology, that are being exposed by various organizations globally. The major part of the achievement of AI is due the fact that most tasks at present given to AI technology are data-driven and therefore easily measured or benchmarked.



The cloud deployment type offers various benefits that include more scalability, reduced operational and maintenance costs, and fewer complexities. Enterprise AI vendors are focusing on the deployment of cloud-based solutions, owing to large-scale adoption of the cloud-based deployment type.



The market is segmented on the basis of regions into North America, South America, Europe, Asia Pacific, and Middle East & Africa. North America is anticipated to contribute major share in the enterprise AI market during the forecast period. The region has a significant presence of prominent technology players to cater to the rapidly growing enterprise AI market. Asia Pacific is expected to be the fastest growing market for enterprise AI.



Some of the key players in the enterprise AI market are AWS, Google Corporation, IBM Corporation, Intel Corporation, Microsoft Corporation, Oracle Corporation, SAP, Sentient Technologies, and Wipro Ltd.


Scope Of The Global Enterprise AI Marke:  Inquire before buying

Global Enterprise AI Market, by Component:

• Solutions
• Services.
Global Enterprise AI Market, by Technology:

• Natural Language Processing
• Machine Learning & Deep Learning
Global Enterprise AI Market, by Deployment Mode:

• Cloud
• On-premises
Global Enterprise AI Market, by Organization Type:

• Large Enterprises
• Small & Medium Enterprises
Global Enterprise AI Market, by Application:

• Marketing Management
• Human Resource & Recruitment Management
• Security & Risk Management
• Customer Support & Experience
• Process Application
• Analytics Automation
Global Enterprise AI Market, by Geographies:

• North America
• Europe
• Asia Pacific
• Middle East & Africa
• Latin America
The major key players that influence growth of Global Enterprise AI Market includes:

• Intel Corporation
• Sentient Technologies
• Google, Inc.
• Wipro
• Oracle Corporation
• AWS
• SAP
• Microsoft
• HPE
• Alphabet Inc. (Google Inc.)
• Apple Inc.
• Amazon Web Services, Inc.
• International Business Machines Corporation
• IPsoft Inc.
• MicroStrategy Incorporated
• NVIDIA Corporation
• SAP
• Qilk Technologies inc
• Baidu inc.
• Verint
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Issued By chetana
Country India
Categories Business
Tags enterprise ai market
Last Updated May 15, 2021