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Intelligent App Market Size, Share and Global Trend By Service (Google Play, Apple App Store and Others), By Deployment Type (Cloud, On-Premises and Others), By Industry Vertical (BFSI, Telecom, Retail and e-commerce and others) and Regional Forecast, 2024-2032

Region :Global | Report ID: FBI100249 | Status : Ongoing

 

KEY MARKET INSIGHTS

According to Ericsson mobility report, 2018, the worldwide smartphones users would rise from 7.9 Bn to 8.9 Bn. This rise in smartphones industry would drive the growth of intelligent application market in the forecast period. An intelligent Application or App is advanced software designed to operate on a smart device, such as a smartphone or tablet computer, smart wearables, and others. Intelligent Apps are generally hybrid software units with the ability to perform a countless number of functions.

Machine learning and data analytics are the core components of intelligent apps. Intelligent apps have AI-powered algorithms that eliminate irrelevant information and focus on relevant information to make decisions. It enables automatic execution of tasks without specifically waiting for user commands. By applying a high degree of predictive analytics, these apps can forecast user behavior and make the information available in a secure manner. Such factors are anticipated to promote the growth of the intelligent app market globally.

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The rise of bots, the growing market of wearables app, adoption of E-wallet and mobile Payment option in various industries are expected to drive the global intelligent app market during the forecast period. Further, the integration of AR and VR reality with AI platform in mobile applications to create smart and better decisions is expected to boost the demand for smart apps. For instance, during 2017-18, Ayasdi introduced the hybrid app, ‘Ayasdi Envision’ to accelerate the creation of intelligent applications by adopting AR and VR reality integrated into AI platform. The framework enables data scientists to modify business-specific intelligent applications by using a pre-built library of UI (user interface) mechanisms.

KEY PLAYERS COVERED

Key players described in this market report include Opera Software, Apple Inc., Cognizant, Google Inc., Microsoft Corporation, Hewlett Packard Enterprise, Development LP, China Mobile Limited, Samsung Electronics Co. Ltd., and SAP SE, among others.

SEGMENTATION 

 Segmentation

 Details

By Service

·         Google Play

·         Apple App Store

·         Others (Amazon app store, Samsung galaxy store, and others)

By Deployment Type

·         Cloud

·         On-Premises

·         Others

By Industry Vertical

·         BFSI

·         Telecom

·         Retail and e-commerce

·         Healthcare and Life Sciences

·         Education

·         Media and Entertainment

·         Travel and Hospitality

·         Others

By Geography

·         North America (the USA and Canada)

·         Europe (UK, Germany, France, Italy, Spain, Scandinavia and Rest of Europe)

·         Asia Pacific (Japan, China, India, Australia, Southeast Asia and Rest of Asia Pacific)

·         Latin America (Brazil, Mexico and Rest of Latin America)

·         Middle East & Africa (South Africa, GCC and Rest of the Middle East & Africa)

                       

REGIONAL ANALYSIS

North America is expected to be the primary revenue generating region in the global intelligent apps market during the forecast period. The factors that drive the growth of North America market include high adoption of AI and machine learning solutions among the U.S.’s large organizations and upgrading their business platform from offline channel to online channel. The rise of bot’s market has led to the acceptance of advanced network security solutions.

Key Industry Developments

In Jan, 2018, Google Inc. in association with Twitter to introduce AMP (Accelerated Mobile Pages) technology. This project is a mobile version of web page. With the help of AMP, web page can be displayed simultaneously to the user while it is loading, instead of making user wait for the whole page to load, it is called lazy loading technology.

 

 

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  • Ongoing
  • 2023
  • 2019-2022

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