AI in Marketing Market Scenario:
As per the Market Research Future Reports (MRFR), the global AI in Marketing Market Segments
is expected to record a CAGR of 46% during the forecast period with an estimated value of USD 6 billion by 2027.
The market for enterprise artificial intelligence is estimated to witness an increasing growth rate. One of the crucial factors leading to the expansion of this market is the expanding requirement for artificial intelligence-based solutions and platforms. Furthermore, the increasing amount of data sets required to analyze, complex data for the implementation of artificial intelligence for effective performance is affecting the market. As artificial intelligence is experiencing a higher adoption rate in the industrial vertical, it becomes important for the organization to increase its solutions to fulfill the industrial standards.
The global enterprise artificial intelligence market 2020 is anticipated to expand at a considerable rate owing to increasing development in artificial intelligence, and a greater rate of adoption in several industrial sectors. Organizations acquire an eminent market value considering their services and solution created for different functions and business uses. These organizations largely use technologies like deep learning, machine learning, predictive analytics, automated data science, and automation to aid with a solution for various organizations.
The sudden challenges created by the ongoing COVID-19 are captured effectively to exhibit the long term growth projections in the MRFR report on AI in Marketing Market. The growth sectors of the AI in Marketing Market are identified with precision for a better growth perspective.
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The high-flying players in the intelligent network market are listed as Ericsson (Sweden), Cisco Systems (U.S.), Huawei Technologies (China), Juniper Networks (U.S.), Hewlett-Packard Company (U.S.), Nokia Corporation (Finland), Tech Mahindra Limited (India), Orange S.A. (France), Sandvine (Canada), Colt Technology Services (U.K.) and Netcracker Inc. (U.K.).
- The report on the global intelligent networks market covers segments such as application, end-user, and enterprise size.
- Among the application segment, the intelligent network market has included traffic prediction and classification, information cognition, performance prediction, resource management and network adoption, and configuration extrapolation.
- Among the end-user segment, the market has incorporated cloud service providers, telecom service providers, and managed network service providers.
- Among the enterprise size segment, the market has included small and medium-sized enterprises and large enterprises.
Asia-Pacific, Europe, North America, and the rest of the world are the global segments are the regions selected for the study of the intelligent global network has been conducted to understand market shares.
The advent of new technology is forceful in the North America region for the growth of the intelligent network market. The region might lead the market with the largest market share during the forecast period as the U.S. and Canada are the few countries that are leading based on technical advancements and increasing adoption of cloud-based services. Leading providers of intelligent networks such as Juniper Networks, Cisco Systems, Netcracker Inc., Aruba Networks, and similar to them in the U.S. are enhancing advanced technological architecture and providing network security.
Asia-Pacific might be the fastest-growing region. The growing adoption of IoT, the inclination of small, medium-sized, and large enterprise towards cloud services are the factors behind the market’s growth. Countries like Japan, China, and India are the leading countries in the region, owing to a vast customer base.
On the same line, the region of Europe is expected to display a high growth rate in the evaluation period owing to the mounting investments of tech leaders such as Intel, Microsoft, IBM, and others in the European I.T. market.
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Table of Contents:
1 Executive Summary
2 Scope Of The Report
2.1 Market Definition
2.2 Scope Of The Stud
2.2.1 Research Objectives
2.2.2 Assumptions & Limitations
2.3 Markets Structure
3 Market Research Methodology
3.1 Research Process
3.2 Secondary Research
3.3 Primary Research
3.4 Forecast Model
4 Market Landscape
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