Intelligent Apps Market Share, Size and Analysis Report 2022-2029


Posted November 24, 2022 by swatitiwari_11

In a bid to provide enhanced and innovative user experience, intelligent apps have been gaining significant momentum around the world.

 
In a bid to provide enhanced and innovative user experience, intelligent apps have been gaining significant momentum around the world. Leveraging historical and real-time data, these apps effectively make predictions and relevant decisions that facilitate rich, intuitive, interactive, and personalised experiences. Such integration of data, metadata, and algorithms coupled with consistent research-based approaches ensures precise projection while bettering the interactions at personal and machinery levels. To this end, humans are able to decipher human tendencies in diverse conditions based on their interaction with computers. Likewise, computers or smart apps begin suggesting things based on past interactions, provide solutions for day-to-day issues, and perform mundane tasks.

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Paradigm Shifts in Organisational Settings & Surging Adoption of Business Intelligence Solutions to Boost Intelligent Apps Market Growth

Rising penetration of smartphones and mounting desire for more corporate mobility has surged the adoption of intelligent apps. With this, the need for contextual, rich, personalised experiences has risen at a record pace. Concurrently, this has also highlighted the sheer importance of efficient and real-time mobile advertising. Against this backdrop, various organisations are adopting consumer and enterprise applications based on AI and machine learning to uphold their business transformation journeys. As these applications are gaining popularity with better response times and real-time decision-making support, the global intelligent apps market is witnessing a steep inclination in its growth curve. Fundamental mutations in organisational settings, rapid urbanisation, robust technology investments, and soaring use of business intelligence solutions to manage IT environments are altogether fuelling the market growth.

Mounting Applications in Manufacturing & E-Commerce Industries to Bode Well for Intelligent Apps Market

Lately, intelligent applications have become imperative for almost all industries in some way or the other. These SaaS-based analytical cloud applications efficiently acquire and store data to make ensure informed and accurate decision-making. In the manufacturing industry, operational data from the shop floor systems such as machines, test stations, sensors, equipment, and simulation machines, is melded with data curated from HCMs and ERP. The intervention of cutting-edge technologies, including, AI and ML, significantly elevates productivity, establishes resilience, and curtails rapid decision. Whereas the e-commerce industry is harnessing the full potential of intelligent apps that encompasses displaying timely recommendations on sites, chart and virtual assistants, and software to detect anomalous cybersecurity threats. These broad-ranging applications across industries are creating promising outlooks for the intelligent apps market.


North America to witness a whole continuum of dominance throughout the projection timeframe as it gains the first mover's advantage in the adoption of most modern technologies such as AI, big data analytics, and cognitive computing. The regional market is further nurtured by the development of intelligent apps for numerous business sectors coupled with a significant presence of AI developers and technology solution providers. Considering the growing need for efficient solutions, the government is channelling robust funds towards the healthcare industry.

Major Market Players

Some of the leading players in the global intelligent apps market include Apple (US), Sentient Technologies (US), SAP SE (Germany), AWS (US), IBM (US), AIBrain (US), Ayasdi (US), Oracle (US), Google (US), Donation (US), Microsoft (US), Baidu (China), ServiceNow (US), Facebook (US), Intel (US), HPE (US), H2O.ai (US), Avaamo (US), Clarifai (US), CloudMinds (US), BigML (US), Narrative Science (US), Arkenea Technologies (US), iCarbonX (US), Salesforce (US), and Fuzzy.ai (US).

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Last Updated November 24, 2022