Intelligent Apps Market Forecast to 2027 – COVID-19 Impact and Global Analysis by Type (Consumer Apps, Enterprise Apps); Services (Professional Services, Managed Services); Store Type (Google Play, Apple App, Store Others); Deployment (Cloud, On-Premises); Vertical (BFSI, Telecom, Retail and eCommerce, Healthcare and Life Science, Education, Media and Entertainment, Travel and Hospitality, Others) and Geography
Intelligent apps utilize the functionalities of artificial intelligence, big data and analytics, cognitive computing, and others to deliver advanced analytical output that can be used for different applications, such as virtual personal assistants, prioritizing emails, virtual customer assistants, security tooling, enterprise applications, and others. These apps implement the functionalities of cognitive computing, artificial intelligence, big data and analytics, and others.
Rise in need for advanced analytical tools, technological advancements regarding new product development, and increased market for big data and analytics drive the global intelligent apps market. Increased adoption among developing economies offers a major opportunity for market expansion.
The intelligent apps use the functionalities of AI, cognitive computing, big data and analytics, and others to provide an advanced analytical output that can be utilized for different applications, such as prioritizing emails, security tooling, virtual personal assistants, virtual customer assistants, enterprise applications, and others.
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Companies Profiled in this report includes: IBM, Apple Inc., Ayasdi AI LLC, BigML, Inc., Google, H2O.ai., Hewlett Packard Enterprise Development LP, Microsoft, Oracle, SAP SE
The rise in the necessity for advanced analytical tools, technological advancements concerning new product development, and increasing market for big data and analytics are some of the major factors driving the growth of intelligent apps market. However, less awareness of products and services is the major factor that may restrain the growth of the intelligent apps market. Moreover, increased adoption among developing economies is anticipated to offers a major opportunity for intelligent apps market expansion.
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Table of Content:
1.INTRODUCTION
2.KEY TAKEAWAYS
3.RESEARCH METHODOLOGY
4.INTELLIGENT APPS MARKET LANDSCAPE
5.INTELLIGENT APPS MARKET – KEY MARKET DYNAMICS
6.INTELLIGENT APPS MARKET – GLOBAL MARKET ANALYSIS
7.INTELLIGENT APPS MARKET – REVENUE AND FORECASTS TO 2027 – TYPE
8.INTELLIGENT APPS MARKET – REVENUE AND FORECASTS TO 2027 – SERVICES
9.INTELLIGENT APPS MARKET – REVENUE AND FORECASTS TO 2027 – STORE TYPE
10.INTELLIGENT APPS MARKET – REVENUE AND FORECASTS TO 2027 – DEPLOYMENT
11.INTELLIGENT APPS MARKET – REVENUE AND FORECASTS TO 2027 – VERTICAL
12.INTELLIGENT APPS MARKET REVENUE AND FORECASTS TO 2027 – GEOGRAPHICAL ANALYSIS
13.INDUSTRY LANDSCAPE
14.INTELLIGENT APPS MARKET, KEY COMPANY PROFILES
14.1. IBM
14.1.1. Key Facts
14.1.2. Business Description
14.1.3. Products and Services
14.1.4. Financial Overview
14.1.5. SWOT Analysis
14.1.6. Key Developments
14.2. APPLE INC.
14.2.1. Key Facts
14.2.2. Business Description
14.2.3. Products and Services
14.2.4. Financial Overview
14.2.5. SWOT Analysis
14.2.6. Key Developments
14.3. AYASDI AI LLC
14.3.1. Key Facts
14.3.2. Business Description
14.3.3. Products and Services
14.3.4. Financial Overview
14.3.5. SWOT Analysis
14.3.6. Key Developments
14.4. BIGML, INC.
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