Global Intelligent Apps Market
Market Size in USD Billion
CAGR :
% 
 Forecast Period |
2023 –2030 |
 Market Size (Base Year) |
USD 30.91 Billion |
 Market Size (Forecast Year) |
USD 283.18 Billion |
 CAGR |
% |
| Major Markets Players |
Global Intelligent Apps Market, By Type (Consumer Apps, Enterprise Apps), Providers (Infrastructure, Data Collection and Preparation, Machine Intelligence), Operating System (iOS, Android), Services (Professional Services, Managed Services), Store Type (Google Play, Apple App Store, Others), Deployment Mode (Cloud, On-Premises), Vertical (BFSI, Telecom, Retail and E-commerce, Healthcare and Life Science, Education, Media and Entertainment, Travel and Hospitality, Others) – Industry Trends and Forecast to 2030.
Intelligent Apps Market Analysis and Size
The increasing turns of reconciliation and events of mental technologies comprising Machine Learning (ML) and Artificial Intelligence (AI) are mainly projected to enhance the market income. Combining these technologies into wise apps helps organizations with robotizing investigation processes and information assortment. Furthermore, these applications oversee various business workflows from a distance and empower organizations to acquire upgraded perceivability. These expected advanced benefits and innovations are increasing interestin insightful apps.
Data Bridge Market Research analyses that the intelligent apps market was valued at USD 30.91 billion in 2022 and is expected to reach the value of USD 283.18 billion by 2030, at a CAGR of 31.90% during the forecast period. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.
Intelligent Apps Market Scope and Segmentation
|
Report Metric |
Details |
|
Forecast Period |
2023 to 2030 |
|
Base Year |
2022 |
|
Historic Years |
2021 (Customizable to 2015 - 2020) |
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Quantitative Units |
Revenue in USD Million, Volumes in Units, Pricing in USD |
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Segments Covered |
Type (Consumer Apps, Enterprise Apps), Providers (Infrastructure, Data Collection and Preparation, Machine Intelligence), Operating System (iOS, Android), Services (Professional Services, Managed Services), Store Type (Google Play, Apple App Store, Others), Deployment Mode (Cloud, On-Premises), Vertical (BFSI, Telecom, Retail and e-commerce, Healthcare and Life Science, Education, Media and Entertainment, Travel and Hospitality, Others) |
|
Countries Covered |
U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America |
|
Market Players Covered |
Apple Inc (U.S.), Microsoft (U.S.), Orcale (U.S.), SAP (Germany), Amazon Web Services, Inc. (U.S.), Google (U.S.), Hewlett Packard Enterprise Development LP (U.S.), Intel Corporation (U.S.), SAMSUNG (South Korea), Baidu Inc, (China), Salesforce, Inc. (U.S,), ServiceNow (U.S.), Avaamo (U.S.), CloudMinds (China), BigML, Inc, (U.S.), Arkenea, Inc.(U.S.), iCarbonX (China), Clarifai Inc (U.S.) |
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Market Opportunities |
|
Market Definition
Intelligent apps are used to increase the standard of living by practicing different functionalities such as Big Data & analytics, artificial intelligence (AI), cognitive computing and others to address improved output which is later used for numerous applications, such as to prioritize e-mails, enterprise applications, security tooling, customer assistance, virtual personal assistant and others. Intelligent apps allow to increase the abilities of cognitive computing, artificial intelligence, Big Data, and others.
Intelligent Apps Market
Drivers
- Growing adoption of advanced technologies
The growing implementation of advanced technologies such as artificial intelligence (AI) and Machine Learning (ML) is one of the major factors which is expected to drive the market growth rate. Intelligent apps mainly use these technologies to provide advanced analytical output based on the data created from different applications. They help customers by providing them a personalized shopping experience and help companies to map the coming needs of consumers, thus enabling improved sales.
- Surging demand of Intelligent apps in healthcare sector
Healthcare sector is projected to create landmark expansions in terms of revenue shareand market value in the global market. The healthcare sector witnessed a growing need of automated applications to regulate the workflow and manage the healthcare resources. The intelligent applications such as PATHAI, ENLITIC, FREENOME, and BUOY HEALTH to reduce the involved life risk and induce the operational efficiency in healthcare sector. Moreover, the need of more healthcare equipment, augmented awareness of patients regarding the proper diagnostics and treatment to increase the healthcare sectors share in the intelligent apps market
Opportunities
- Growing demand of Intelligent apps for enterprise applications
Rising demand for enterprise applications is expected to create immense opportunities for the growth of the intelligent apps market. Industries such as retail & e-commerce, banking, financial services, and insurance (BFSI) and healthcare are witnessing exposure in terms of offering consistent customer support and utilizing intelligent apps to automate business operations. For instance, Bank of America Corporation has launched an AI-enabled virtual assistant named Erica, in May 2018 which can perform many financial processes, such as providing a weekly snapshot of month-to-date spending, alerting customers about upcoming recurring charges and making money transfers.
- Increasing demand of intelligent apps due to multiple properties
The intelligent apps are capable of using and saving the past data references. These applications are also capable of generating useful and relevant information. These apps maintain appropriate records of all the latest activities in offering output based in data analytics on those records. For instance, Cleo is an application which is a budgeting app offers expense capabilities with up to 90 percent of accuracy to help people to maintain the balance between expenditure budget and monthly earning
Restraints
- High cost and increase in many concerns
High price associated with the implementation of artificial intelligence (Ai) based solutions and increase in concerns regarding the disintegration in mobile operating systems is anticipated to obstruct the growth of the intelligent apps market. The concerns over safeguarding customer information and data are estimated to challenge the market in the forecast period of 2023-2030.
This intelligent apps market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the intelligent apps market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
COVID-19 Impact on Intelligent Apps Market
The Intelligent Apps is expected to withstand its growth rate even after the restrictions and regulations imposed by many governments all over the globe, the important services such as healthcare sector has a high market share in the intelligent apps market. The high performance of these apps in healthcare sector provide subsequent growth for intelligent apps market. Moreover, growth in usage of virtual assistance and virtual data analysis methods to act as a catalyst for the market growth.
Recent Development
- In February 2021, Palantir Technologies has collaborated with IBM Corporation for the growth of integrated artificial intelligence based powered applications. In this collaboration, the companies integrated their cloud platforms and operations to streamline the growth of intelligent apps for various requirements. This aided both the companies to provide diverse corporate customers and strengthen their position in the market.
Global Intelligent Apps Market Scope
The intelligent apps market is segmented on the basis of type, providers, operating system, services, store type, deployment mode and vertical. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Type
- Consumer Apps
- Enterprise Apps
- Providers
- Infrastructure
- Data Collection and Preparation
- Machine Intelligence
Operating System
- IOS
- Android
- Services
- Professional Services
- Managed Services
Store Type
- Google Play
- Apple App Store
- Others
Deployment Mode
- Cloud
- On-Premises
Vertical
- BFSI
- Telecom
- Retail and e-commerce
- Healthcare and Life Science
- Education
- Media and Entertainment
- Travel and Hospitality
- Others
Intelligent Apps Market Regional Analysis/Insights
The intelligent apps market is analyzed and market size insights and trends are provided by country, type, providers, operating system, services, store type, deployment mode and vertical as referenced above.
The countries covered in the intelligent apps market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America dominates the intelligent apps market in terms of revenue and market share because of increasing adoption of drones with advanced technology in this region.
Asia-Pacific will continue to project the highest compound annual growth rate during the forecast period of 2023-2030 due to increasing defense budget especially in developing countries in this region.
The country section of the report also provides individual market impacting factors and changes in market regulation that impact the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of Global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Intelligent Apps Market Share Analysis
The intelligent apps market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, Global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to intelligent apps market.
Some of the major players operating in the intelligent apps market are:
- Apple Inc (U.S.)
- Microsoft (U.S.)
- Orcale (U.S.)
- SAP (Germany)
- Amazon Web Services, Inc. (U.S.)
- Google (U.S.)
- Hewlett Packard Enterprise Development LP (U.S.)
- Intel Corporation (U.S.)
- SAMSUNG (South Korea)
- Baidu Inc, (China)
- Salesforce, Inc. (U.S,)
- ServiceNow (U.S.)
- Avaamo (U.S.)
- CloudMinds (China)
- BigML, Inc, (U.S.)
- Arkenea, Inc.(U.S.)
- iCarbonX (China
- Clarifai Inc (U.S.)
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Research Methodology
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
Customization Available
Data Bridge Market Research is a leader in advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), clinical trial results data, literature review, refurbished market and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.
