Global Intelligent Apps Market By Deployment Type (Private, Public, and Hybrid Cloud); By Store-Types ( Apple app store, Google Play, and Others); By Applications(Retail, Healthcare, Education, and Others); By Regions (Americas, EMEA, and, APAC) Drivers, Opportunities, Restraints, Trends, and Forecast to 2023
Intelligent Apps Market: Global Drivers, Restraints, Opportunities, Trends, and Forecasts up to 2023
Overview:
Intelligent apps are mainly driven by artificial intelligence (AI) and machine learning and they are no longer a innovative technology, rather than, it has become a present-day necessity that every enterprise must get on board with sooner rather than later if they want to compete and attract and retain top talent. With benefits abundantly, ‘smart apps’ can accelerate business transformation and deliver new insights, while releasing next level productivity.
Intelligent Apps is primarily a process, which uses machine-learning technology for developing these apps using historical and real-time data for predictions and decisions to offer rich, interactive and personalized experience to the users. In addition, various search engines like Google and Bing, media service providers like Spotify and Netflix are some of the many intelligent apps users are interacting with. Machine learning technology empowering intelligent apps has become a mainstream stage for this ecosystem.
Market Analysis:
According to Infoholic Research, the Global intelligent Apps Market is expected to reach $123.89 billion by 2023, growing at a CAGR of around 69.28% during the forecast period. The market is experiencing growth mainly due to the increase in the need for advanced analytical tools, advancement in technology with related to new product development, and increased market for big data & analytics drive the global intelligent apps market. Though, with the of low awareness level among the consumers about products and services, and is expected to hamper the market growth. In addition, with the increase in the adoption of intelligent apps among developing economies offers a major opportunity for market expansion.
Market Segmentation Analysis:
The report provides a wide-ranging evaluation of the market. It provides in-depth qualitative insights, historical data, and supportable projections and assumptions about the market size. The projections featured in the report have been derived using proven research methodologies and assumptions based on the vendor’s portfolio, blogs, whitepapers, and vendors presentations. Thus, the research report serves every side of the market and is segmented based on regional markets, type, applications, and end-users.
Countries and Vertical Analysis:
The report contains an in-depth analysis of the vendor profiles, which include financial health, business units, key business priorities, SWOT, strategy, and views; and competitive landscape. The key and the prominent vendors covered in the report include Google Inc., Microsoft Corporation, Opera Software, Cognizant, Hewlett Packard Enterprise, Development LP, SAP SE, China Mobile Limited, Samsung Electronics Co. Ltd., Apple Inc., and others. The vendors have been identified based on the portfolio, geographical presence, marketing & distribution channels, revenue generation, and significant investments in R&D.
The counties covered in report are the US, Canada, Mexico, the UK, France, Germany, India, China, and, Japan. Among these, Japan, the US, and China are expected to grow at a high rate during the forecast period (2017-2023) owing to an increase in the penetration rate of connected devices and growing adoption of cloud computing.
Competitive Analysis
The report covers and analyses the Global intelligent apps market Market. Various strategies, such as joint ventures, partnerships, collaborations, and contracts, have been considered. In addition, as customers are in search for better solutions, there is expected to be a rising number of partnerships. There is likely to be an increase in the number of mergers, acquisitions, and strategic partnership during the forecast period.
The report includes the complete insight of the industry, and aims to provide an opportunity for the emerging and established players to understand the market trends, current scenario, initiatives taken by the government, and the latest technologies related to the market. In addition, it helps the venture capitalists in understanding the companies better and take informed decisions.
Regional Analysis
The Americas market is leading in the global intelligent market as most of the large organizations have their headquarters located here. The region is the largest base for the technological innovations and adoption. Many of these pure-play providers are family owned and focus on particular products for specific industries or applications, which makes up the majority of the automation companies.
EMEA is one the major investor for the technological innovations among all other regions and stands next to the Americas and APAC. The region is one of the most digital and interconnected societies in the world; this is leading to increased demand for intelligent apps. In addition, Asia Pacific is a developing region with a lot of opportunities for the growing consumer electronics market.
Benefits
The report provides an in-depth analysis of the Global intelligent apps Market aiming to reduce time to market for products and services, reduce operational cost, improve accuracy, and operational performance. With the help of mobile apps, and intelligent apps, various organizations can load their crucial information, and increase productivity and efficiency. In addition, the solutions are proven to be reliable and improve scalability. The report discusses about types, applications, and regions. Further, the report provides details about the major challenges impacting the market growth.
Overview:
Intelligent apps are mainly driven by artificial intelligence (AI) and machine learning and they are no longer a innovative technology, rather than, it has become a present-day necessity that every enterprise must get on board with sooner rather than later if they want to compete and attract and retain top talent. With benefits abundantly, ‘smart apps’ can accelerate business transformation and deliver new insights, while releasing next level productivity.
Intelligent Apps is primarily a process, which uses machine-learning technology for developing these apps using historical and real-time data for predictions and decisions to offer rich, interactive and personalized experience to the users. In addition, various search engines like Google and Bing, media service providers like Spotify and Netflix are some of the many intelligent apps users are interacting with. Machine learning technology empowering intelligent apps has become a mainstream stage for this ecosystem.
Market Analysis:
According to Infoholic Research, the Global intelligent Apps Market is expected to reach $123.89 billion by 2023, growing at a CAGR of around 69.28% during the forecast period. The market is experiencing growth mainly due to the increase in the need for advanced analytical tools, advancement in technology with related to new product development, and increased market for big data & analytics drive the global intelligent apps market. Though, with the of low awareness level among the consumers about products and services, and is expected to hamper the market growth. In addition, with the increase in the adoption of intelligent apps among developing economies offers a major opportunity for market expansion.
Market Segmentation Analysis:
The report provides a wide-ranging evaluation of the market. It provides in-depth qualitative insights, historical data, and supportable projections and assumptions about the market size. The projections featured in the report have been derived using proven research methodologies and assumptions based on the vendor’s portfolio, blogs, whitepapers, and vendors presentations. Thus, the research report serves every side of the market and is segmented based on regional markets, type, applications, and end-users.
Countries and Vertical Analysis:
The report contains an in-depth analysis of the vendor profiles, which include financial health, business units, key business priorities, SWOT, strategy, and views; and competitive landscape. The key and the prominent vendors covered in the report include Google Inc., Microsoft Corporation, Opera Software, Cognizant, Hewlett Packard Enterprise, Development LP, SAP SE, China Mobile Limited, Samsung Electronics Co. Ltd., Apple Inc., and others. The vendors have been identified based on the portfolio, geographical presence, marketing & distribution channels, revenue generation, and significant investments in R&D.
The counties covered in report are the US, Canada, Mexico, the UK, France, Germany, India, China, and, Japan. Among these, Japan, the US, and China are expected to grow at a high rate during the forecast period (2017-2023) owing to an increase in the penetration rate of connected devices and growing adoption of cloud computing.
Competitive Analysis
The report covers and analyses the Global intelligent apps market Market. Various strategies, such as joint ventures, partnerships, collaborations, and contracts, have been considered. In addition, as customers are in search for better solutions, there is expected to be a rising number of partnerships. There is likely to be an increase in the number of mergers, acquisitions, and strategic partnership during the forecast period.
The report includes the complete insight of the industry, and aims to provide an opportunity for the emerging and established players to understand the market trends, current scenario, initiatives taken by the government, and the latest technologies related to the market. In addition, it helps the venture capitalists in understanding the companies better and take informed decisions.
Regional Analysis
The Americas market is leading in the global intelligent market as most of the large organizations have their headquarters located here. The region is the largest base for the technological innovations and adoption. Many of these pure-play providers are family owned and focus on particular products for specific industries or applications, which makes up the majority of the automation companies.
EMEA is one the major investor for the technological innovations among all other regions and stands next to the Americas and APAC. The region is one of the most digital and interconnected societies in the world; this is leading to increased demand for intelligent apps. In addition, Asia Pacific is a developing region with a lot of opportunities for the growing consumer electronics market.
Benefits
The report provides an in-depth analysis of the Global intelligent apps Market aiming to reduce time to market for products and services, reduce operational cost, improve accuracy, and operational performance. With the help of mobile apps, and intelligent apps, various organizations can load their crucial information, and increase productivity and efficiency. In addition, the solutions are proven to be reliable and improve scalability. The report discusses about types, applications, and regions. Further, the report provides details about the major challenges impacting the market growth.
1 INDUSTRY OUTLOOK
1.1 Industry Overview
1.2 Industry Trends
1.3 PEST Analysis
2 REPORT OUTLINE
2.1 Report Scope
2.2 Report Summary
2.3 Research Methodology
2.4 Report Assumptions
3 MARKET SNAPSHOT
3.1 Total Addressable Market
3.2 Segmented Addressable Market
3.3 Related Markets
3.3.1 Intelligent Agents
3.3.2 Virtual Assistant
4 MARKET OUTLOOK
4.1 Overview
4.1.1 Market Definition – Infoholic Research
4.2 Market Trends and Impact
4.3 Market Segmentation
4.4 Porter 5 (Five) Forces
5 MARKET CHARACTERISTICS
5.1 Evolution
5.2 Value Chain
5.3 Benefits and Challenges of Intelligent Apps
5.4 Factors Influencing the Choice of Intelligent Apps
5.5 Market Dynamics
5.5.1 Drivers
5.5.1.1 Affordability of smartphones
5.5.1.2 Increasing Internet penetration
5.5.1.3 Adoption of digital lifestyle
5.5.1.4 Increase in the development of new technologies
5.5.2 Restraints
5.5.2.1 Battery drain
5.5.2.2 Security and privacy
5.5.2.3 Low awareness
5.5.3 Opportunities
5.5.3.1 Increasing number of smartphones
5.5.3.2 Growing demand for analytics
5.5.3.3 Opportunities from developing economies
5.6 DRO – Impact Analysis
6 APPLICATIONS: MARKET SIZE AND ANALYSIS
6.1 Overview
6.2 Retail
6.2.1 Market Size and Analysis
6.3 Healthcare
6.3.1 Market Size and Analysis
6.4 Education
6.4.1 Market Size and Analysis
6.5 Others
6.5.1 Market Size and Analysis
7 STORE TYPES: MARKET SIZE AND ANALYSIS
7.1 Overview
7.2 Apple App Store
7.3 Google Play
7.4 Others
8 DEPLOYMENT TYPES: MARKET SIZE AND ANALYSIS
8.1 Overview
8.2 Private Cloud
8.3 Public Cloud
8.4 Hybrid Cloud
9 REGIONS
9.1 Overview
9.2 Americas
9.2.1 Market Size and Analysis
9.2.2 DRO for the Americas
9.2.3 US
9.2.4 Canada
9.2.5 Brazil
9.3 EMEA
9.3.1 Market Size and Analysis
9.3.2 DRO for EMEA
9.3.3 UK
9.3.4 France
9.3.5 Germany
9.4 Asia Pacific
9.4.1 Market Size and Analysis
9.4.2 DRO for APAC
9.4.3 India
9.4.4 China
9.4.5 Japan
10 VENDOR PROFILES
10.1 Google Inc.
10.1.1 Overview
10.1.2 Business Units
10.1.3 Geographic Revenue
10.1.4 Business Focus
10.1.5 SWOT Analysis
10.1.6 Business Strategies
10.2 Microsoft Corporation
10.2.1 Overview
10.2.2 Business Focus
10.2.3 SWOT Analysis
10.2.4 Business Strategies
10.3 Hewlett Packard Enterprise
10.3.1 Overview
10.3.2 Business Units
10.3.3 Geographic Revenue
10.3.4 Business Focus
10.3.5 SWOT Analysis
10.3.6 Business Strategies
10.4 Apple Inc.
10.4.1 Overview
10.4.2 Business Units
10.4.3 Geographic Revenue
10.4.4 Business Focus
10.4.5 SWOT Analysis
10.4.6 Business Strategies
10.5 SAP SE
10.5.1 Overview
10.5.2 Business Focus
10.5.3 Business Strategies
11 GLOBAL GENERALIST
11.1 Opera Software
11.2 Cognizant
11.3 China Mobile Limited
11.4 Samsung Electronics Co. Ltd.
Annexure
Abbreviations
Tables
Table 1 INTELLIGENT APPS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION)
Table 2 INTELLIGENT APPS MARKET REVENUE BY STORE TYPES, 2017–2023 ($BILLION)
Table 3 INTELLIGENT APPS MARKET REVENUE BY DEPLOYMENT TYPES, 2017–2023 ($BILLION)
Table 4 INTELLIGENT APPS MARKET REVENUE BY REGIONS, 2017–2023 ($BILLION)
Table 5 DRO FOR THE AMERICAS
Table 6 AMERICAS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION)
Table 7 AMERICAS MARKET REVENUE BY DEPLOYMENT TYPES, 2017–2023 ($BILLION)
Table 8 AMERICAS MARKET REVENUE BY STORE TYPES, 2017–2023 ($BILLION)
Table 9 DRO FOR EMEA
Table 10 EMEA MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION)
Table 11 EMEA MARKET REVENUE BY DEPLOYMENT TYPES, 2017–2023 ($BILLION)
Table 12 EMEA MARKET REVENUE BY STORE TYPES, 2017–2023 ($BILLION)
Table 13 DRO FOR APAC
Table 14 APAC MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION)
Table 15 APAC MARKET REVENUE BY DEPLOYMENT TYPES, 2017–2023 ($BILLION)
Table 16 APAC MARKET REVENUE BY STORE TYPES, 2017–2023 ($BILLION)
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Charts
Chart 1 PEST ANALYSIS OF INTELLIGENT APPS MARKET
Chart 2 RESEARCH METHODOLOGY OF INTELLIGENT APPS MARKET
Chart 3 MOBILE APPS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 4 INTELLIGENT APPS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 5 INTELLIGENT APPS MARKET SEGMENTATION
Chart 6 PORTER 5 FORCES OF INTELLIGENT APPS MARKET
Chart 7 EVOLUTION OF INTELLIGENT APPS MARKET
Chart 8 VALUE CHAIN OF INTELLIGENT APPS MARKET
Chart 9 FACTORS AFFECTING THE CHOICE OF INTELLIGENT APPS SOLUTIONS
Chart 10 MARKET DYNAMICS – DRIVERS, RESTRAINTS & OPPORTUNITIES
Chart 11 DRO – IMPACT ANALYSIS OF INTELLIGENT APPS MARKET
Chart 12 INTELLIGENT APPS MARKET SHARE BY APPLICATIONS, 2017 AND 2023
Chart 13 RETAIL MARKET REVENUE, 2017–2023 ($BILLION)
Chart 14 HEALTHCARE MARKET REVENUE, 2017–2023 ($BILLION)
Chart 15 EDUCATION MARKET REVENUE, 2017–2023 ($BILLION)
Chart 16 OTHERS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 17 INTELLIGENT APPS MARKET SHARE BY STORE TYPES, 2017 AND 2023
Chart 18 APPLE APP STORE MARKET REVENUE, 2017–2023 ($BILLION)
Chart 19 GOOGLE PLAY MARKET REVENUE, 2017–2023 ($BILLION)
Chart 20 OTHERS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 21 INTELLIGENT APPS MARKET REVENUE BY DEPLOYMENT TYPES, 2017 AND 2023
Chart 22 PRIVATE CLOUD MARKET REVENUE, 2017–2023 ($BILLION)
Chart 23 PUBLIC CLOUD MARKET REVENUE, 2017–2023 ($BILLION)
Chart 24 HYBRID CLOUD MARKET REVENUE, 2017–2023 ($BILLION)
Chart 25 INTELLIGENT APPS MARKET SHARE BY REGIONS, 2017 AND 2023
Chart 26 AMERICAS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 27 EMEA MARKET REVENUE, 2017–2023 ($BILLION)
Chart 28 APAC MARKET REVENUE, 2017–2023 ($BILLION)
Chart 29 GOOGLE INC.: OVERVIEW SNAPSHOT
Chart 30 GOOGLE INC.: BUSINESS UNITS
Chart 31 GOOGLE INC.: GEOGRAPHIC REVENUE
Chart 32 GOOGLE INC.: SWOT ANALYSIS
Chart 33 MICROSOFT CORPORATION: OVERVIEW SNAPSHOT
Chart 34 MICROSOFT CORPORATION: SWOT ANALYSIS
Chart 35 HP: OVERVIEW SNAPSHOT
Chart 36 HP: BUSINESS UNITS
Chart 37 HP: GEOGRAPHIC REVENUE
Chart 38 HP: SWOT ANALYSIS
Chart 39 APPLE INC.: OVERVIEW SNAPSHOT
Chart 40 APPLE INC.: BUSINESS UNITS
Chart 41 APPLE INC.: GEOGRAPHIC REVENUE
Chart 42 APPLE INC.: SWOT ANALYSIS
Chart 43 SAP SE: OVERVIEW SNAPSHOT
1.1 Industry Overview
1.2 Industry Trends
1.3 PEST Analysis
2 REPORT OUTLINE
2.1 Report Scope
2.2 Report Summary
2.3 Research Methodology
2.4 Report Assumptions
3 MARKET SNAPSHOT
3.1 Total Addressable Market
3.2 Segmented Addressable Market
3.3 Related Markets
3.3.1 Intelligent Agents
3.3.2 Virtual Assistant
4 MARKET OUTLOOK
4.1 Overview
4.1.1 Market Definition – Infoholic Research
4.2 Market Trends and Impact
4.3 Market Segmentation
4.4 Porter 5 (Five) Forces
5 MARKET CHARACTERISTICS
5.1 Evolution
5.2 Value Chain
5.3 Benefits and Challenges of Intelligent Apps
5.4 Factors Influencing the Choice of Intelligent Apps
5.5 Market Dynamics
5.5.1 Drivers
5.5.1.1 Affordability of smartphones
5.5.1.2 Increasing Internet penetration
5.5.1.3 Adoption of digital lifestyle
5.5.1.4 Increase in the development of new technologies
5.5.2 Restraints
5.5.2.1 Battery drain
5.5.2.2 Security and privacy
5.5.2.3 Low awareness
5.5.3 Opportunities
5.5.3.1 Increasing number of smartphones
5.5.3.2 Growing demand for analytics
5.5.3.3 Opportunities from developing economies
5.6 DRO – Impact Analysis
6 APPLICATIONS: MARKET SIZE AND ANALYSIS
6.1 Overview
6.2 Retail
6.2.1 Market Size and Analysis
6.3 Healthcare
6.3.1 Market Size and Analysis
6.4 Education
6.4.1 Market Size and Analysis
6.5 Others
6.5.1 Market Size and Analysis
7 STORE TYPES: MARKET SIZE AND ANALYSIS
7.1 Overview
7.2 Apple App Store
7.3 Google Play
7.4 Others
8 DEPLOYMENT TYPES: MARKET SIZE AND ANALYSIS
8.1 Overview
8.2 Private Cloud
8.3 Public Cloud
8.4 Hybrid Cloud
9 REGIONS
9.1 Overview
9.2 Americas
9.2.1 Market Size and Analysis
9.2.2 DRO for the Americas
9.2.3 US
9.2.4 Canada
9.2.5 Brazil
9.3 EMEA
9.3.1 Market Size and Analysis
9.3.2 DRO for EMEA
9.3.3 UK
9.3.4 France
9.3.5 Germany
9.4 Asia Pacific
9.4.1 Market Size and Analysis
9.4.2 DRO for APAC
9.4.3 India
9.4.4 China
9.4.5 Japan
10 VENDOR PROFILES
10.1 Google Inc.
10.1.1 Overview
10.1.2 Business Units
10.1.3 Geographic Revenue
10.1.4 Business Focus
10.1.5 SWOT Analysis
10.1.6 Business Strategies
10.2 Microsoft Corporation
10.2.1 Overview
10.2.2 Business Focus
10.2.3 SWOT Analysis
10.2.4 Business Strategies
10.3 Hewlett Packard Enterprise
10.3.1 Overview
10.3.2 Business Units
10.3.3 Geographic Revenue
10.3.4 Business Focus
10.3.5 SWOT Analysis
10.3.6 Business Strategies
10.4 Apple Inc.
10.4.1 Overview
10.4.2 Business Units
10.4.3 Geographic Revenue
10.4.4 Business Focus
10.4.5 SWOT Analysis
10.4.6 Business Strategies
10.5 SAP SE
10.5.1 Overview
10.5.2 Business Focus
10.5.3 Business Strategies
11 GLOBAL GENERALIST
11.1 Opera Software
11.2 Cognizant
11.3 China Mobile Limited
11.4 Samsung Electronics Co. Ltd.
Annexure
Abbreviations
Tables
Table 1 INTELLIGENT APPS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION)
Table 2 INTELLIGENT APPS MARKET REVENUE BY STORE TYPES, 2017–2023 ($BILLION)
Table 3 INTELLIGENT APPS MARKET REVENUE BY DEPLOYMENT TYPES, 2017–2023 ($BILLION)
Table 4 INTELLIGENT APPS MARKET REVENUE BY REGIONS, 2017–2023 ($BILLION)
Table 5 DRO FOR THE AMERICAS
Table 6 AMERICAS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION)
Table 7 AMERICAS MARKET REVENUE BY DEPLOYMENT TYPES, 2017–2023 ($BILLION)
Table 8 AMERICAS MARKET REVENUE BY STORE TYPES, 2017–2023 ($BILLION)
Table 9 DRO FOR EMEA
Table 10 EMEA MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION)
Table 11 EMEA MARKET REVENUE BY DEPLOYMENT TYPES, 2017–2023 ($BILLION)
Table 12 EMEA MARKET REVENUE BY STORE TYPES, 2017–2023 ($BILLION)
Table 13 DRO FOR APAC
Table 14 APAC MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION)
Table 15 APAC MARKET REVENUE BY DEPLOYMENT TYPES, 2017–2023 ($BILLION)
Table 16 APAC MARKET REVENUE BY STORE TYPES, 2017–2023 ($BILLION)
?
Charts
Chart 1 PEST ANALYSIS OF INTELLIGENT APPS MARKET
Chart 2 RESEARCH METHODOLOGY OF INTELLIGENT APPS MARKET
Chart 3 MOBILE APPS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 4 INTELLIGENT APPS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 5 INTELLIGENT APPS MARKET SEGMENTATION
Chart 6 PORTER 5 FORCES OF INTELLIGENT APPS MARKET
Chart 7 EVOLUTION OF INTELLIGENT APPS MARKET
Chart 8 VALUE CHAIN OF INTELLIGENT APPS MARKET
Chart 9 FACTORS AFFECTING THE CHOICE OF INTELLIGENT APPS SOLUTIONS
Chart 10 MARKET DYNAMICS – DRIVERS, RESTRAINTS & OPPORTUNITIES
Chart 11 DRO – IMPACT ANALYSIS OF INTELLIGENT APPS MARKET
Chart 12 INTELLIGENT APPS MARKET SHARE BY APPLICATIONS, 2017 AND 2023
Chart 13 RETAIL MARKET REVENUE, 2017–2023 ($BILLION)
Chart 14 HEALTHCARE MARKET REVENUE, 2017–2023 ($BILLION)
Chart 15 EDUCATION MARKET REVENUE, 2017–2023 ($BILLION)
Chart 16 OTHERS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 17 INTELLIGENT APPS MARKET SHARE BY STORE TYPES, 2017 AND 2023
Chart 18 APPLE APP STORE MARKET REVENUE, 2017–2023 ($BILLION)
Chart 19 GOOGLE PLAY MARKET REVENUE, 2017–2023 ($BILLION)
Chart 20 OTHERS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 21 INTELLIGENT APPS MARKET REVENUE BY DEPLOYMENT TYPES, 2017 AND 2023
Chart 22 PRIVATE CLOUD MARKET REVENUE, 2017–2023 ($BILLION)
Chart 23 PUBLIC CLOUD MARKET REVENUE, 2017–2023 ($BILLION)
Chart 24 HYBRID CLOUD MARKET REVENUE, 2017–2023 ($BILLION)
Chart 25 INTELLIGENT APPS MARKET SHARE BY REGIONS, 2017 AND 2023
Chart 26 AMERICAS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 27 EMEA MARKET REVENUE, 2017–2023 ($BILLION)
Chart 28 APAC MARKET REVENUE, 2017–2023 ($BILLION)
Chart 29 GOOGLE INC.: OVERVIEW SNAPSHOT
Chart 30 GOOGLE INC.: BUSINESS UNITS
Chart 31 GOOGLE INC.: GEOGRAPHIC REVENUE
Chart 32 GOOGLE INC.: SWOT ANALYSIS
Chart 33 MICROSOFT CORPORATION: OVERVIEW SNAPSHOT
Chart 34 MICROSOFT CORPORATION: SWOT ANALYSIS
Chart 35 HP: OVERVIEW SNAPSHOT
Chart 36 HP: BUSINESS UNITS
Chart 37 HP: GEOGRAPHIC REVENUE
Chart 38 HP: SWOT ANALYSIS
Chart 39 APPLE INC.: OVERVIEW SNAPSHOT
Chart 40 APPLE INC.: BUSINESS UNITS
Chart 41 APPLE INC.: GEOGRAPHIC REVENUE
Chart 42 APPLE INC.: SWOT ANALYSIS
Chart 43 SAP SE: OVERVIEW SNAPSHOT
