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Intelligent Apps Market Size, Share & Trends Analysis Report By Type, By Providers, By Services, By Store Type, By Deployment Mode, By Vertical, By Region, And Segment Forecasts, 2024 - 2030
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Intelligent Apps Market Growth & Trends:
The global intelligent apps market size is expected to reach USD 172.21 billion by 2030, growing at a CAGR of 30.6% over the forecast period, according to a new report by Grand View Research, Inc. The increasing adoption of advanced technologies such as artificial intelligence (AI) and Machine Learning (ML) plays a significant role in propelling the market's expansion. Intelligent apps leverage these technologies to generate analytical insights from the data produced by various apps. These apps assist consumers by offering a tailored shopping experience and aid businesses in anticipating future consumer demands, thereby enhancing sales.
The increasing need for enterprise applications is poised to open numerous opportunities for the expansion of the intelligent apps industry. Various sectors, such as retail and e-commerce, banking, financial services, insurance (BFSI), and healthcare, are experiencing advancements in providing continual customer service and employing intelligent apps for streamlining business processes. Intelligent apps utilize and store historical data references. Moreover, these apps generate valuable and pertinent information. They keep accurate records of all recent activities and provide outputs based on data analytics of those records.
Intelligent apps demonstrate a strong propensity for knowledge enhancement and exhibit a high degree of adaptability. The machine learning component within these apps enables them to evolve their behavior based on work requirements and environmental context. They are adept at functioning with the intended purpose of their application in mind. For instance, Oracle Corporation developed an AI-powered application aimed at improving invoice processing. Currently, 65% of companies employ rule-based software, while 35% still rely on various manual methods, leading to issues such as missing purchase orders with invoices. The adoption of these intelligent applications ensures verified purchase orders.
Intelligent Apps Market Report Highlights:
North America dominated the market in 2023 with the largest share of global revenue. Companies across the region are at the forefront of adopting AI and machine learning solutions. This is due to several factors, including the large pool of tech talent in the region, the presence of major AI companies like Google LLC, Microsoft Corporation, and International Business Machines Corporation, and the growing demand for automation and efficiency.
The consumer apps segment led the market in 2023. AI can make apps more accessible for consumers. Features such as voice recognition and chatbots help users with disabilities interact with apps more easily. Intelligent apps can also be a source of entertainment, with features such as AI-powered games, personalized music recommendations, and various tools that use AI to generate art or music.
The machine intelligence segment held the largest share of the global revenue in 2023. ML algorithms excel at identifying patterns and user behavior. Intelligent apps leverage this to personalize the user experience. ML allows intelligent apps to analyze data and predict user needs. For instance, a navigation app can predict traffic congestion and suggest alternate routes or an e-commerce app might recommend products a user might be interested in based on their browsing history. This proactive approach enhances user experience and satisfaction.
The professional services segment held the largest share of the global revenue in 2023. Intelligent apps analyze vast amounts of data (financial records, legal documents, market trends) that professional service firms typically collect. This allows professionals to glean valuable insights and identify patterns that might not be readily apparent. With this data-driven approach, professionals can make informed decisions, develop more effective strategies, and deliver superior results for their clients.
The Google Play segment led the market in 2023. Intelligent apps integrate seamlessly with Google services such as Google Maps, Google Assistant, or Google Drive. This integration enhances functionality and user experience, making these apps more attractive to users within the Google Play Store.
The cloud segment led the market in 2023. The widespread adoption of cloud computing provides the foundation for intelligent apps. Cloud platforms offer scalability, flexibility, and on-demand resources, making them ideal for deploying and managing intelligent apps.
The retail & e-commerce segment held the largest share of the global revenue in 2023. Intelligent apps analyze customer data to understand preferences and purchase history. This allows retailers to recommend relevant products, offer targeted promotions, and personalize marketing campaigns.
Table of Contents
Chapter 1. Methodology and Scope
1.1. Market Segmentation and Scope
1.2. Market Definitions
1.3. Research Methodology
1.3.1. Information Procurement
1.3.2. Information or Data Analysis
1.3.3. Market Formulation & Data Visualization
1.3.4. Data Validation & Publishing
1.4. Research Scope and Assumptions
1.4.1. List of Data Sources
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Outlook
2.3. Competitive Insights
Chapter 3. Intelligent Apps Market Variables, Trends, & Scope
3.1. Market Introduction/Lineage Outlook
3.2. Market Size and Growth Prospects (USD Billion)
3.3. Industry Value Chain Analysis
3.4. Market Dynamics
3.4.1. Market Drivers Analysis
3.4.1.1. Increasing consumer demand for personalized and contextual experiences
3.4.1.2. Growing adoption of smartphones is driving the need for enhanced business mobility.
3.4.2. Market Restraints Analysis
3.4.2.1. High implementation costs of AI-based solutions
3.4.3. Industry Opportunities
3.4.3.1. Industry Challenges
3.5. Intelligent Apps Market Analysis Tools
3.5.1. Porter's Analysis
3.5.1.1. Bargaining power of the suppliers
3.5.1.2. Bargaining power of the buyers
3.5.1.3. Threats of substitution
3.5.1.4. Threats from new entrants
3.5.1.5. Competitive rivalry
3.5.2. PESTEL Analysis
3.5.2.1. Political landscape
3.5.2.2. Economic and Social landscape
3.5.2.3. Technological landscape
3.5.2.4. Environmental landscape
3.5.2.5. Legal landscape
Chapter 4. Intelligent Apps Market: Type Estimates & Trend Analysis
4.1. Segment Dashboard
4.2. Intelligent Apps Market: Type Movement Analysis, USD Billion, 2023 & 2030
4.3. Consumer Apps
4.3.1. Consumer Apps Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
4.4. Enterprise Apps
4.4.1. Enterprise Apps Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
Chapter 5. Intelligent Apps Market: Providers Estimates & Trend Analysis
5.1. Segment Dashboard
5.2. Intelligent Apps Market: Providers Movement Analysis, USD Billion, 2023 & 2030
5.3. Infrastructure
5.3.1. Infrastructure Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.4. Data Collection & Preparation
5.4.1. Data Collection & Preparation Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
5.5. Machine Intelligence
5.5.1. Machine Intelligence Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
Chapter 6. Intelligent Apps Market: Services Estimates & Trend Analysis
6.1. Segment Dashboard
6.2. Intelligent Apps Market: Services Movement Analysis, USD Billion, 2023 & 2030
6.3. Professional Services
6.3.1. Professional Services Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.4. Managed Services
6.4.1. Managed Services Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.4.2. Integration & Implementation
6.4.2.1. Integration & Implementation Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.4.3. Training, Support & Maintenance
6.4.3.1. Training, Support & Maintenance Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
6.4.4. Consulting
6.4.4.1. Consulting Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
Chapter 7. Intelligent Apps Market: Store Type Estimates & Trend Analysis
7.1. Segment Dashboard
7.2. Intelligent Apps Market: Store Type Movement Analysis, USD Billion, 2023 & 2030
7.3. Google Play
7.3.1. Google Play Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.4. Apple App Store
7.4.1. Apple App Store Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
7.5. Others
7.5.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
Chapter 8. Intelligent Apps Market: Deployment Mode Estimates & Trend Analysis
8.1. Segment Dashboard
8.2. Intelligent Apps Market: Deployment Mode Movement Analysis, USD Billion, 2023 & 2030
8.3. Cloud
8.3.1. Cloud Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
8.4. On-Premises
8.4.1. On-Premises Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
Chapter 9. Intelligent Apps Market: Vertical Estimates & Trend Analysis
9.1. Segment Dashboard
9.2. Intelligent Apps Market: Vertical Movement Analysis, USD Billion, 2023 & 2030
9.3. BFSI
9.3.1. BFSI Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
9.4. Telecom
9.4.1. Telecom Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
9.5. Retail & eCommerce
9.5.1. Retail & eCommerce Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
9.6. Healthcare & Life Sciences
9.6.1. Healthcare & Life Sciences Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
9.7. Education
9.7.1. Education Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
9.8. Media & Entertainment
9.8.1. Media & Entertainment Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
9.9. Travel & Hospitality
9.9.1. Travel & Hospitality Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
9.10. Others
9.10.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Billion)
Chapter 10. Intelligent Apps Market: Regional Estimates & Trend Analysis
10.1. Intelligent Apps Market Share, By Region, 2023 & 2030, USD Million
10.2. North America
10.2.1. North America Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.2.2. U.S.
10.2.2.1. U.S. Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.2.3. Canada
10.2.3.1. Canada Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.3. Europe
10.3.1. Europe Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.3.2. U.K.
10.3.2.1. U.K. Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.3.3. Germany
10.3.3.1. Germany Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.3.4. France
10.3.4.1. France Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.4. Asia Pacific
10.4.1. Asia Pacific Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.4.2. China
10.4.2.1. China Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.4.3. Japan
10.4.3.1. Japan Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.4.4. India
10.4.4.1. India Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.4.5. Australia
10.4.5.1. Australia Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.4.6. South Korea
10.4.6.1. South Korea Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.5. Latin America
10.5.1. Latin America Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.5.2. Brazil
10.5.2.1. Brazil Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.6. Middle East and Africa
10.6.1. Middle East and Africa Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.6.2. UAE
10.6.2.1. UAE Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.6.3. South Africa
10.6.3.1. South Africa Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
10.6.4. KSA
10.6.4.1. KSA Intelligent Apps Market Estimates and Forecasts, 2017 - 2030 (USD Billion)
Chapter 11. Competitive Landscape
11.1. Recent Developments & Impact Analysis by Key Market Participants
11.2. Company Categorization
11.3. Company Market Positioning
11.4. Company Market Share Analysis
11.5. Company Heat Map Analysis
11.6. Strategy Mapping
11.6.1. Expansion
11.6.2. Mergers & Acquisition
11.6.3. Partnerships & Collaborations
11.6.4. New Product Launches
11.6.5. Research And Development
1.1. Company Profiles
11.6.6. Amazon Web Services Inc.
11.6.6.1. Participant's Overview
11.6.6.2. Financial Performance
11.6.6.3. Product Benchmarking
11.6.6.4. Recent Developments
11.6.7. Apple Inc.
11.6.7.1. Participant's Overview
11.6.7.2. Financial Performance
11.6.7.3. Product Benchmarking
11.6.7.4. Recent Developments
11.6.8. Baidu Inc.
11.6.8.1. Participant's Overview
11.6.8.2. Financial Performance
11.6.8.3. Product Benchmarking
11.6.8.4. Recent Developments
11.6.9. Google LLC
11.6.9.1. Participant's Overview
11.6.9.2. Financial Performance
11.6.9.3. Product Benchmarking
11.6.9.4. Recent Developments
11.6.10. International Business Machines Corporation
11.6.10.1. Participant's Overview
11.6.10.2. Financial Performance
11.6.10.3. Product Benchmarking
11.6.10.4. Recent Developments
11.6.11. Intel Corporation
11.6.11.1. Participant's Overview
11.6.11.2. Financial Performance
11.6.11.3. Product Benchmarking
11.6.11.4. Recent Developments
11.6.12. Oracle Corporation
11.6.12.1. Participant's Overview
11.6.12.2. Financial Performance
11.6.12.3. Product Benchmarking
11.6.12.4. Recent Developments
11.6.13. Salesforce.com, Inc
11.6.13.1. Participant's Overview
11.6.13.2. Financial Performance
11.6.13.3. Product Benchmarking
11.6.13.4. Recent Developments
11.6.14. SAP SE
11.6.14.1. Participant's Overview
11.6.14.2. Financial Performance
11.6.14.3. Product Benchmarking
11.6.14.4. Recent Developments
11.6.15. ServiceNow
11.6.15.1. Participant's Overview
11.6.15.2. Financial Performance
11.6.15.3. Product Benchmarking
11.6.15.4. Recent Developments
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