Intelligent Apps Market Size & Share 2021 to 2027
Market Size by App Type (Consumer Apps, Commercial Apps), by Deployment Model (On-premise, Cloud), by Operating System (iOS, Android), by Application (Retail & E-commerce, BFSI, Media & Entertainment, Education, Healthcare, Manufacturing, Telecom), Industry Analysis Report, Regional Outlook, Growth Potential, & Forecast.
Report ID: GMI2979
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Published Date: February 2021
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Report Format: PDF
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Authors:
Preeti Wadhwani, Aishvarya Ambekar
Intelligent Apps Market Size
Intelligent Apps Market size valued at USD 15 billion in 2020 and is projected to register gains at over 35% CAGR from 2021 to 2027.
The advent of advanced computing and analytics technologies is likely to drive the industry growth. The need to ensure context and preference-enabled business decisions followed by automation of multiple tasks is supporting the adoption of intelligent apps across industries. The significant technological innovations across IT infrastructure are anticipated to propel the market demand.
The rising developments & integration of cognitive technologies including Artificial Intelligence (AI) and Machine Learning (ML) is further expected to boost the market revenue. The integration of these technologies into intelligent apps helps companies to automate data collection and analysis processes. Additionally, these applications enable companies to gain enhanced visibility and manage diverse business workflows remotely. These consistent innovations and advanced benefits are driving the demand for intelligent apps.
Intelligent Apps Market Analysis
UK based consumer intelligent apps market is poised to witness above 35% CAGR through 2027. The growing demand to a provide unique user experience in accordance with the historical data and geographical locations is enabling the demand for consumer intelligent apps. These applications are majorly used for the granular processing of real-time and historical data related to customer-to-business interactions. This helps companies in the market to customize their offering in accordance with potential customer preferences and features in intelligent apps.
In the UAE, cloud deployment segment is forecast to observe growth rate of around 35% CAGR from 2021 to 2027. Companies operating in the regional intelligent apps market are expanding their data center network in the country. For instance, in October 2020, Oracle Corporation established a new data center in Dubai. This helped the company to expand its market reach and provide access to Oracle Cloud applications to develop intelligent apps. According to the Federal Competitiveness and Statistics Authority, in 2019, 99.9% of individuals in the UAE owned mobile phones. The widespread penetration of cloud technologies along with smartphone users are adopting intelligent apps.
The Android operating system segment is estimated to see exponential growth over 2021 to 2027. The country is reporting an increase in the penetration of android smartphone devices and internet usage. As per the Canadian Press, the country has witnessed a sharp rise of internet users amid coronavirus pandemic and recorded more than 2 million social network users as of November 2020. Moreover, the open-source architecture of the operating system enables companies to develop customized intelligent apps to cater to consumer requirements. These regional markets and technology trends are contributing to the growing uptake of Android OS.
The retail & e-commerce application in India held more than 20% of the intelligent apps market share in 2020 and is likely to grow significantly till 2027. Consistent growth in the retail & e-commerce industry followed by smartphone penetration is set to fuel industry growth. According to the India Brand Equity Foundation, the country’s e-commerce sector is predicted to reach USD 99 billion by 2024. However, in 2019, online retail penetration stood at 4.7% and is expected to reach 10.7% through 2024. The enterprise-wide need to gain a competitive edge and connect to consumers is anticipated to drive the demand for intelligent apps.
Europe dominated the global intelligent apps market with a value of around USD 2.5 billion in 2020 and is projected to grow significantly through 2027. The regional technological innovations and industry-wide digitization are contributing to the market growth. According to the GSMA Intelligence’s Mobile Economy 2020 report, in 2019, the region had a smartphone adoption rate of 76% and ranks second in the world.
Furthermore, the adoption of video streaming services across households witnessed an approximately 12.6% increase compared to the last quarter of 2019. Considering these figures and the rising usage of media streaming services, the demand for intelligent apps across Europe will increase significantly.
Intelligent Apps Market Share
The industry has also witnessed several strategic partnerships between technology enterprises. For instance, in February 2021, Palantir Technologies collaborated with IBM Corporation for the development of integrated AI-powered applications. Under the partnership, the companies integrated their operations and cloud platforms to streamline the development of intelligent apps for diverse requirements. This helped both the companies to serve diverse corporate customers and strengthen their market position.
Some of the key players operating in the intelligent apps market are:
This market research report on intelligent apps includes in-depth coverage of the industry with estimates & forecast in terms of revenue in USD from 2016 to 2027 for the following segments:
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Market, By App Type
Market, By Deployment Model
Market, By Operating System
Market, By Application
The above information has been provided for the following regions and countries:
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
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Industry databases
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Regulatory filings
Government procurement records and policy documents
Academic research
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Company reports
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Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →