The forecast period for this study is from 2018 to 2023, with 2017 as the base year.
The increasing number of smartphone users around the world, the rising acceptance of AI technology, and the growing trend of mobile app-based advertising across verticals are all major growth factors for the intelligent applications market.
The market for intelligent apps was worth USD 7.33 billion in 2017 and is expected to reach USD 46.98 billion by 2023, increasing at a CAGR of 32.9 percent over the forecast period.
The study’s goal is to define, describe, and forecast the global market by provider, app type (consumer and enterprise), store type (Google Play, Apple App Store, and others [slideME, baidu app store, Amazon app store, Samsung Galaxy store, and others]), services, deployment modes (cloud and on-premises), verticals, and regions. The research also includes detailed information on the important aspects impacting the growth of the intelligent apps market, such as drivers, constraints, opportunities, and challenges.
The research approach utilised to estimate and forecast the worldwide intelligent apps market size begins with secondary research, annual reports, Institute of Electrical and Electronic Engineers (IEEE), Factiva, Bloomberg, and press announcements to collect data on significant vendor revenues. In addition, the vendor offerings are taken into account while determining market segmentation. The overall market size is calculated using the bottom-up technique, which starts with the revenues of the major market players. Following the arrival of the overall market size, the complete market is segmented into many segments and sub-segments, which are then validated by primary research by conducting lengthy interviews with important individuals such as CEOs, Vice Presidents (VPs), directors, and executives.
To complete the full market engineering process and obtain correct statistics for all segments and subsegments, data triangulation and market breakdown techniques are used.
IBM (US), Google (US), Amazon Web Services (US), Microsoft (US), Salesforce (US), Oracle (US), Apple (US), Baidu (China), SAP SE (Germany), ServiceNow (US), Facebook (US), Intel (US), HPE (US), Avaamo (US), H2O.ai (US), BigML (US), Sentient Technologies (US), Clarifai (US), CloudMinds (US), Ayasdi (US), Narrative Science (US).
The Market for Intelligent Apps’ Target Audience
Providers of intelligent apps
Providers of services
Platform suppliers for applications
Organizations that conduct research
Executives in charge of app development
Providers of third-party services
Customizations that are available
The following report customization options are available:
Analysis of the Product
A product matrix that compares each company’s product portfolio in detail.
Analyses by Location
The intelligent app market in North America is breaking up even further.
The APAC market will continue to fragment.
The European market is breaking up even further.
The MEA market is breaking up even further.
The Latin American market is breaking up even further.
Information about the company
Additional market players will be profiled and analysed in detail (Up to 5)
The global intelligent applications market will rise at a 32.9 percent compound annual growth rate (CAGR) from USD 11.34 billion in 2018 to USD 46.98 billion by 2023. Increased smartphone use is driving demand for more business mobility, increased consumer expectations for rich contextual and tailored experiences, and a growing focus on effective and real-time mobile advertising are all major market drivers.
The enterprise apps sector is predicted to increase at a faster rate than the other types throughout the projection period. Intelligent apps are now being used by businesses for a variety of purposes. Due to the increased requirement to provide individualised results to end users, the consumer apps segment is expected to have a greater market size during the projection period.
During the forecast period, the cloud deployment mode is predicted to develop at a faster CAGR and hold a bigger market share. Cloud-based intelligent software solutions are quickly becoming the most popular choice among customers, as they assist minimise infrastructure maintenance costs.
During the projection period, the infrastructure providers sector is expected to have a bigger market share. The machine intelligence segment, on the other hand, is expected to grow at a faster rate, since it assists developers in making their jobs easier by providing application-specific pre-built models.
The managed services market is expected to develop at a faster rate throughout the projection period, since managed services allow businesses to focus on their core operations. The professional services segment, on the other hand, is expected to have a greater market size during the projection period.
Google Play is predicted to expand at the fastest CAGR among the store types over the projection period. Apple App Store, on the other hand, is expected to have the biggest market share. Apple’s consumer base is in the premium customer group, which helps the company generate large income.
The media and entertainment vertical in the intelligent applications market is expected to develop at the fastest rate during the forecast period. On a corporate level, intelligent apps aid in the understanding of user profiles and, as a result, in the delivery of customised web pages to users. During the projection period, the retail and eCommerce vertical is expected to have the biggest market share.
