Intelligent Apps Market Report 2025

This report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The intelligent apps market size has grown exponentially in recent years. It will grow from $56.62 billion in 2024 to $77.02 billion in 2025 at a compound annual growth rate (CAGR) of 36%. The growth in the historic period can be attributed to increased emphasis on cybersecurity, continued advancements in ai hardware, extended use of augmented reality (AR) and virtual reality (VR), quantum computing impact, blockchain integration for data security.

The intelligent apps market size is expected to see exponential growth in the next few years. It will grow to $262.33 billion in 2029 at a compound annual growth rate (CAGR) of 35.8%. The growth in the forecast period can be attributed to rapid development in mobile app ecosystem, integration with iot devices, advancements in natural language processing (nlp), rise of cloud computing, increasing mobile device adoption. Major trends in the forecast period include explainable ai, human augmentation, emotional intelligence integration, sustainable and ethical ai, multi-modal interaction.

The growing demand for enterprise applications is expected to drive the growth of the intelligent apps market in the future. Enterprise applications are large-scale software solutions designed to support and optimize complex business processes and functions within organizations. Intelligent apps often integrate with or complement these enterprise applications by leveraging AI and machine learning to enhance efficiency, data analytics, and decision-making, addressing the evolving needs of modern businesses. For example, in May 2024, Eurostat, a Luxembourg-based statistical office of the European Union, reported that the adoption of Enterprise Resource Planning (ERP) software in EU enterprises in 2023 varied, with 37.9% of small enterprises and 86.3% of large enterprises using the software. Therefore, the increasing demand for enterprise applications is driving the growth of the intelligent apps market.

Major players in the intelligent apps market are actively developing new products, particularly focusing on analytics apps, to maintain a competitive edge. Analytics apps are software applications specifically designed for data analysis, interpretation, and visualization. For example, Salesforce Inc., a US-based software company, launched Service Intelligence in November 2023 to enhance agent productivity and customer satisfaction. Powered by Data Cloud, Salesforce's real-time hyperscale data engine, Service Intelligence provides seamless access to business data within Service Cloud, eliminating the need to toggle between screens. The app features pre-built, customizable dashboards for critical metrics, leverages AI-driven insights through Einstein Conversation Mining, and integrates with Tableau for enhanced data exploration. Upcoming features such as Copilot for Service, Einstein Studio, and Customer Effort Score aim to further improve user interaction and generate valuable AI-powered insights.

In October 2023, Salesforce Inc. acquired Airkit.AI for an undisclosed amount. This acquisition enhances Salesforce's AI capabilities, particularly in customer service applications, fostering innovation and accelerating the development of AI-driven customer experiences within the Customer 360 Platform. Airkit.ai, a US-based developer of flexible, omni-channel customer engagement applications and AI-based customer service agents, brings valuable expertise to Salesforce, reinforcing its position in delivering intelligent solutions for enhanced customer interactions. This strategic acquisition reflects the commitment to advancing AI technologies in the intelligent apps market.

Major companies operating in the intelligent apps market report are Amazon.com Inc., Apple Inc., Alphabet Inc., Samsung Electronics Co. Ltd., Microsoft Corporation, China Mobile Limited, Meta Platforms Inc., Huawei Technologies Co. Ltd., Intel Corporation, International Business Machines Corporation (IBM), Oracle Corporation, SAP SE, Hewlett Packard Enterprise Company, Salesforce Inc., Cognizant Technology Solutions Corporation, Baidu Inc., ServiceNow Inc., Twilio Inc., Pegasystems Inc., TIBCO Software Inc., BlackBerry Limited, MicroStrategy Incorporated, CloudMinds Inc., Zebra Medical Vision Ltd., Avaamo Inc., iCarbonX, Clarifai Inc., Arkenea Inc.

North America was the largest region in the intelligent apps market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the intelligent apps market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the intelligent apps market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The intelligent apps market includes revenues earned by entities by providing services such as language translation services, financial planning and analysis, document and content management, and navigation and location-based services. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The intelligent apps market consists of sales of smartphones, tablets, computers, smartwatches, and connected devices. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

An intelligent app, or AI-powered app, is a software application that utilizes advanced technologies such as machine learning, natural language processing, and data analytics to deliver a sophisticated and dynamic user experience. These applications are designed to offer proactive suggestions, recommendations, and actions, ultimately saving users time and effort in their interactions with the software.

The main types of intelligent apps include consumer apps, enterprise apps, providers, infrastructure, data collection and preparation, and machine intelligence. Consumer apps are software applications crafted for personal use by individual end-users and are typically accessible through app stores on devices such as smartphones and tablets. These apps are distributed through various store types, such as Google Play, Apple App Store, and others. Consumer apps function on operating systems such as iOS and Android, and they may involve services such as professional services and managed services. Deployment modes for consumer apps can vary and may include cloud and on-premises options.

The intelligent apps market research report is one of a series of new reports that provides intelligent apps market statistics, including intelligent apps industry global market size, regional shares, competitors with intelligent apps market share, detailed intelligent apps market segments, market trends, and opportunities, and any further data you may need to thrive in the intelligent apps industry. This intelligent apps market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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