Dublin, Dec. 11, 2018 (GLOBE NEWSWIRE) -- The "Intelligent Apps - Global Market Outlook (2017-2026)" report has been added to ResearchAndMarkets.com's offering.

According to this report, the Global Intelligent apps market accounted for $8.39 billion in 2017 and is expected to reach $93.4 billion by 2026 growing at a CAGR of 30.7% during the forecast period.

Growing desire for advanced analytical tools, advancements in technology on deploying new product, and heightened market for big data & analytics are fuelling the intelligent apps. Deepened acceptance among developing economies offers a major opportunity for market expansion. However, existence of low level of consciousness about products and services is expected to impede the market growth.

By type, Consumer apps are increasing on daily basis as number of smartphone users are contributing to the exponential growth in the number of apps that consumers use on their phones. With the rapid advancements in technology of AI field, it has become more capable to deliver more relevant and personalized results to end consumers.

Amongst Geography, North American major developments in intelligent apps are said to be booming as majority of the AI-based solution providers are constantly involved in product innovations and deployment. They are adopting various growth strategies that strengthen their position in the intelligent apps market.

What the report offers:

• Market share assessments for the regional and country level segments
• Market share analysis of the top industry players
• Strategic recommendations for the new entrants
• Market forecasts for a minimum of 9 years of all the mentioned segments, sub segments and the regional markets
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping

Key Topics Covered

1 Executive Summary

2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions

3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 Emerging Markets
3.8 Futuristic Market Scenario

4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global Intelligent Apps Market, By Provider
5.1 Introduction
5.2 Infrastructure
5.3 Data Collection and Preparation
5.4 Machine Intelligence

6 Global Intelligent Apps Market, By Type
6.1 Introduction
6.2 Consumer Apps
6.3 Enterprise Apps

7 Global Intelligent Apps Market, By Storage Type
7.1 Introduction
7.2 Apple App Store
7.3 Google Play
7.4 Other Store Types

8 Global Intelligent Apps Market, By Application
8.1 Introduction
8.2 Education
8.3 Healthcare
8.4 Retail
8.5 Banking, Financial Services, and Insurance
8.6 Telecom
8.7 Media and Entertainment
8.8 Other End Users
8.8.1 Travel and Hospitality

9 Global Intelligent Apps Market, By Deployment Mode
9.1 Introduction
9.2 Cloud
9.3 On-Premises

10 Global Intelligent Apps Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa

11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies

12 Company Profiling
12.1 Google Inc.
12.2 Opera Software
12.3 Apple Inc.
12.4 Samsung Electronics Co. Ltd.
12.5 Hewlett Packard Enterprise
12.6 Microsoft Corporation
12.7 Cognizant
12.8 Sap Se
12.9 China Mobile Limited
12.10 Salesforce
12.11 Facebook
12.12 AWS
12.13 Cloudminds
12.14 Intel
12.15 IBM
12.16 BigML, Inc.
12.17 Sentient Technologies
12.18 Cloudminds
12.19 Aibrain
12.20 iCarbonX

For more information about this report visit https://www.researchandmarkets.com/research/2rbmqv/global?w=12

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Related Topics: Mobile Content, Artificial Intelligence 

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