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Mobile Application Market to Grow by USD 2.63 Trillion from 2025-2029, Driven by Smartphone Penetration, Report on How AI is Driving Market Transformation – Technavio

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NEW YORK, Feb. 12, 2025 /PRNewswire/ — Report with the AI impact on market trends – The global mobile application market  size is estimated to grow by USD 2.63 trillion from 2025-2029, according to Technavio. The market is estimated to grow at a CAGR of  31.1%  during the forecast period.  Growing penetration of smartphones is driving market growth, with a trend towards increasing number of mobile apps for iot device. However, cost associated with mobile app development and operation  poses a challenge. Key market players include Amazon.com Inc., ANI Technologies Pvt. Ltd., ASICS Corp., Canva Pty Ltd., Electronic Arts Inc., Google LLC, Grab Holdings Ltd., Meta Platforms Inc., Microsoft Corp., Mozilla Corp., Netflix Inc., Niantic Inc., One97 Communications Ltd., Spotify Technology SA, The Gap Inc., Uber Technologies Inc., Ubisoft Entertainment SA, Walmart Inc., Xiaomi Inc., and Zomato Ltd..

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Forecast period

2025-2029

Base Year

2024

Historic Data

2019 – 2023

Segment Covered

Platform (Android market, iOS market, and Others), Type (Gaming, Music and entertainment, Health and fitness, Social networking, and Others), and Geography (APAC, North America, Europe, South America, and Middle East and Africa)

Region Covered

APAC, North America, Europe, South America, and Middle East and Africa

Key companies profiled

Amazon.com Inc., ANI Technologies Pvt. Ltd., ASICS Corp., Canva Pty Ltd., Electronic Arts Inc., Google LLC, Grab Holdings Ltd., Meta Platforms Inc., Microsoft Corp., Mozilla Corp., Netflix Inc., Niantic Inc., One97 Communications Ltd., Spotify Technology SA, The Gap Inc., Uber Technologies Inc., Ubisoft Entertainment SA, Walmart Inc., Xiaomi Inc., and Zomato Ltd.

Key Market Trends Fueling Growth

The mobile application industry is booming with the increasing popularity of smartphones and high-speed internet usage. Artificial intelligence (AI) and machine learning (ML) are trending technologies, with companies like Ubisoft Entertainment integrating them into mobile games for enhanced user experience. Revenue models include in-game purchases, paid game applications, and in-app advertisements. Security is a concern, with businesses and consumers requiring advanced solutions to protect data collection practices. Emerging areas like AR and VR, online shopping, food ordering, and digital payments are driving strong download rates. Android smartphone sales dominate the market, but iOS and Windows also have significant user bases. PC software faces competition due to mobile devices’ simplicity of usage and expanding client base. Advanced technologies like ML and cloud computing offer benefits to both businesses and consumers. However, emerging threats require cost-effective security solutions to ensure a seamless user experience. Flexibility and scalability are crucial for meeting consumer requirements and expanding into new markets, including developing areas and emerging economies. Creative mobile applications, from games to calculators, are driving efficiency and productivity. Wearable devices like smartwatches, fitness trackers, and tablets offer functionality beyond traditional infrastructure, with GPS, accelerometers, and heart rate monitors enhancing the user experience. The future of the mobile application industry lies in integration with smart items and wearable technology. 

The Internet of Things (IoT) refers to the connection of physical devices, objects, and machines through software and sensors over a network. The market for IoT devices is expanding rapidly due to their convenience, user-friendliness, and mobility features. This growth is fueled by the integration of IoT devices with smartphones via mobile applications. In 2023, approximately 1.14 billion smartphones were shipped, a slight decrease of 4% compared to the previous year. The increasing number of smartphones presents an opportunity for integration with various IoT devices, such as smartwatches and eyeglasses, through mobile apps. 

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Market Challenges

•         The mobile application industry is booming, with smartphones and high-speed internet usage driving growth. Artificial intelligence (AI) and machine learning (ML) are transforming apps, from gaming technology with AR and VR, to e-commerce and online shopping. Revenue models include in-game purchases, paid apps, and in-app advertisements. However, businesses face challenges like mobile application security and data collection practices. Ubisoft Entertainment and others leverage AI for advanced technologies like cloud computing, offering benefits for both businesses and consumers. Emerging threats require cost-effective security solutions. The popularity of mobile devices for simplicity of usage and expanding client bases in developing areas is driving digitization investments. E-commerce, enterprise applications, health & fitness, and gaming apps dominate strong download rates. High-speed connectivity and cost-effective data plans open new markets and user bases in emerging economies. Traditional infrastructure faces disruption from creative mobile applications and wearable technology like smartwatches, tablets, and fitness trackers. Businesses’ reluctance to digitize slows progress in underdeveloped areas. However, the benefits of efficiency, productivity, and a seamless user experience are compelling. GPS, accelerometers, and heart rate monitors are just the beginning of what’s possible with advanced mobile technologies.

•         Mobile applications are essential tools designed to simplify user activities through technological support. While the development cost of mobile apps is relatively low, post-development support activities are increasingly in demand. These activities include administrative, maintenance, and infrastructure services, which are crucial for app deployment and operational lifecycle. Functional services, such as analytics and push notifications, are also necessary for mobile apps to function effectively. Collectively, these support services incur higher costs than the development process itself.

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Segment Overview 

This mobile application market report extensively covers market segmentation by

PlatformAndroid MarketIOS MarketOthersTypeGamingMusic And EntertainmentHealth And FitnessSocial NetworkingOthersGeographyAPACNorth AmericaEuropeSouth AmericaMiddle East And Africa

1.1 Android market-  The Android operating system is a prominent platform for mobile application release in the global market, with the Google Play Store hosting approximately 3.95 million apps as of 2023. The popularity of Android OS is due to the widespread use of Android smartphones worldwide, making it an attractive choice for developers. Notable apps like Google Drive and Tinder are top earners on the Google Play Store. However, Android apps face challenges such as lower monetization rates and longer development times due to fragmentation. Despite this, the launch of new Android OS features, such as AI capabilities and improved navigation, is expected to boost user adoption and fuel market growth. However, iOS apps currently have a larger consumer spending base due to their higher monetization rates. Major acquisitions in the tech industry, such as Microsoft’s purchase of Activision Blizzard for USD68.7 billion, demonstrate the significant value of mobile applications and the competitive landscape. In 2023, Android made strides in improving customer service, leading to the launch of innovative apps like Lensa, Photo editor Pro, and Glitch Lab. This positive momentum indicates that the Android apps segment in the mobile application market will experience favorable growth in the forecast period.

Download complimentary Sample Report to gain insights into AI’s impact on market dynamics, emerging trends, and future opportunities- including forecast (2025-2029) and historic data (2019 – 2023) 

Research Analysis

The mobile application industry has seen explosive growth with the widespread use of smartphones and increasing internet penetration. Artificial intelligence and machine learning are transforming mobile apps, enabling personalized user experiences. The Google Play Store and App Store are the leading marketplaces for downloading apps, offering a vast selection of gaming technology, social media, productivity tools, and more. Gaming apps, including AR and VR experiences, dominate the market, generating significant revenue through in-game purchases and in-app advertisements. Other popular categories include online shopping, food ordering, digital payments, and premium apps. Demographic factors play a crucial role in app usage, with different age groups and regions favoring specific types of apps. Operating systems (OS) also influence the mobile application landscape, with Android and iOS being the most common. Security concerns and data collection practices are essential issues in the mobile app industry, with privacy policies becoming increasingly important to users. Overall, the mobile application market continues to evolve, offering endless opportunities for innovation and growth.

Market Research Overview

The mobile application industry is experiencing exponential growth, fueled by the widespread use of smartphones and high-speed internet usage. Artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing mobile apps, offering advanced functionalities and personalized experiences. Gaming technology, augmented reality (AR), and virtual reality (VR) are also driving innovation, with strong download rates for gaming apps. Revenue models include in-game purchases, paid game applications, and in-app advertisements. The industry benefits businesses and consumers alike, providing efficiency, productivity, and flexibility. However, emerging threats such as mobile application security and data collection practices require cost-effective security solutions. The popularity of mobile devices for online shopping, food ordering, digital payments, and other services continues to expand, with Android smartphone sales leading the market. The OS war between Android and iOS persists, with Windows and PC software offering limited functionality on mobile devices. The industry’s expansion is not limited to developed areas; emerging economies and developing areas are also investing in digitization and mobile connectivity. Creative mobile applications for wearable devices, tablets, smartwatches, and fitness trackers offer seamless user experiences, with features like GPS, accelerometers, and heart rate monitors enhancing functionality.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

PlatformAndroid MarketIOS MarketOthersTypeGamingMusic And EntertainmentHealth And FitnessSocial NetworkingOthersGeographyAPACNorth AmericaEuropeSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

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SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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