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.
MARKET SCOPE
The "Global Intelligent Apps Market Analysis to 2028" is a specialized and in-depth study with a special focus on the global market trend analysis. The report aims to provide an overview of the intelligent apps market with detailed market segmentation by type, services, store type, deployment, vertical, and geography. The report provides key statistics on the market status of the leading intelligent apps market players and offers key trends and opportunities in the market.
MARKET SEGMENTATION
- Based on type, the global intelligent apps market is segmented into consumer apps and enterprise apps.
- On the basis of services, the market is segmented into professional services and managed services.
- Based on store type, the market is segmented into google play, apple app store, and others.
- Based on deployment, the market is segmented into cloud and on-premises.
- Based on vertical, the market is segmented into BFSI, telecom, retail and ecommerce, healthcare and life science, education, media and entertainment, travel and hospitality, and others.
MARKET DYNAMICS
Drivers:
- 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.
- Moreover, increased adoption among developing economies is anticipated to offers a major opportunity for intelligent apps market expansion.
Restraints:
- Lack of awareness of products and services is the major factor that may restrain the growth of the intelligent apps market.
REGIONAL FRAMEWORK
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global market based on various segments. It also provides market size and forecast estimates from the year 2019 to 2028 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), the Middle East and Africa (MEA), and South America. The intelligent apps market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting the market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the intelligent apps market in these regions.
IMPACT OF COVID-19 ON INTELLIGENT APPS MARKET
COVID-19 first began in Wuhan (China) during December 2019 and since then it has spread at a fast pace across the globe. The US, India, Brazil, Russia, France, the UK, Turkey, Italy, and Spain are some of the worst affected countries in terms confirmed cases and reported deaths. The COVID-19 has been affecting economies and industries in various countries due to lockdowns, travel bans, and business shutdowns. Shutdown of various plants and factories has affected the global supply chains and negatively impacted the manufacturing, delivery schedules, and sales of products in global market. Few companies have already announced possible delays in product deliveries and slump in future sales of their products. In addition to this, the global travel bans imposed by countries in Europe, Asia-Pacific, and North America are affecting the business collaborations and partnerships opportunities.
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- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
- Request discounts available for Start-Ups & Universities
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global market based on various segments. It also provides market size and forecast estimates from the year 2019 to 2028 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), the Middle East and Africa (MEA), and South America. The intelligent apps market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting the market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the intelligent apps market in these regions.
IMPACT OF COVID-19 ON INTELLIGENT APPS MARKET
COVID-19 first began in Wuhan (China) during December 2019 and since then it has spread at a fast pace across the globe. The US, India, Brazil, Russia, France, the UK, Turkey, Italy, and Spain are some of the worst affected countries in terms confirmed cases and reported deaths. The COVID-19 has been affecting economies and industries in various countries due to lockdowns, travel bans, and business shutdowns. Shutdown of various plants and factories has affected the global supply chains and negatively impacted the manufacturing, delivery schedules, and sales of products in global market. Few companies have already announced possible delays in product deliveries and slump in future sales of their products. In addition to this, the global travel bans imposed by countries in Europe, Asia-Pacific, and North America are affecting the business collaborations and partnerships opportunities.
MARKET PLAYERS
The report covers key developments in the intelligent apps market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for the expansion of business and customer base of market players. The market players from intelligent apps market are anticipated to lucrative growth opportunities in the future with the rising demand in the global market.
The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the intelligent apps market. In addition, the report focuses on leading industry players with information such as company profiles, components, and services offered, financial information of the last 3 years, the key development in the past five years.
- IBM
- Apple Inc.
- Ayasdi AI LLC
- BigML, Inc.
- Google
- H2O.ai
- Hewlett Packard Enterprise Development LP
- Microsoft
- Oracle
- SAP
- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
- Request discounts available for Start-Ups & Universities
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
1. INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
1.3.1 Intelligent Apps Market - By Type
1.3.2 Intelligent Apps Market - By Services
1.3.3 Intelligent Apps Market - By Store Type
1.3.4 Intelligent Apps Market - By Deployment
1.3.5 Intelligent Apps Market - By Vertical
1.3.6 Intelligent Apps Market - By Region
1.3.6.1 By Country
2. KEY TAKEAWAYS
3. RESEARCH METHODOLOGY
4. INTELLIGENT APPS MARKET LANDSCAPE
4.1. OVERVIEW
4.2. PORTER'S FIVE FORCES ANALYSIS
4.2.1 Bargaining Power of Buyers
4.2.1 Bargaining Power of Suppliers
4.2.1 Threat of Substitute
4.2.1 Threat of New Entrants
4.2.1 Competitive Rivalry
4.3. ECOSYSTEM ANALYSIS
4.4. EXPERT OPINIONS
5. INTELLIGENT APPS MARKET - KEY MARKET DYNAMICS
5.1. KEY MARKET DRIVERS
5.2. KEY MARKET RESTRAINTS
5.3. KEY MARKET OPPORTUNITIES
5.4. FUTURE TRENDS
5.5. IMPACT ANALYSIS OF DRIVERS AND RESTRAINTS
6. INTELLIGENT APPS MARKET - GLOBAL MARKET ANALYSIS
6.1. INTELLIGENT APPS - GLOBAL MARKET OVERVIEW
6.2. INTELLIGENT APPS - GLOBAL MARKET AND FORECAST TO 2028
6.3. MARKET POSITIONING/MARKET SHARE
7. INTELLIGENT APPS MARKET - REVENUE AND FORECASTS TO 2028 - TYPE
7.1. OVERVIEW
7.2. TYPE MARKET FORECASTS AND ANALYSIS
7.3. CONSUMER APPS
7.3.1. Overview
7.3.2. Consumer Apps Market Forecast and Analysis
7.4. ENTERPRISE APPS
7.4.1. Overview
7.4.2. Enterprise Apps Market Forecast and Analysis
8. INTELLIGENT APPS MARKET - REVENUE AND FORECASTS TO 2028 - SERVICES
8.1. OVERVIEW
8.2. SERVICES MARKET FORECASTS AND ANALYSIS
8.3. PROFESSIONAL SERVICES
8.3.1. Overview
8.3.2. Professional Services Market Forecast and Analysis
8.4. MANAGED SERVICES
8.4.1. Overview
8.4.2. Managed Services Market Forecast and Analysis
9. INTELLIGENT APPS MARKET - REVENUE AND FORECASTS TO 2028 - STORE TYPE
9.1. OVERVIEW
9.2. STORE TYPE MARKET FORECASTS AND ANALYSIS
9.3. GOOGLE PLAY
9.3.1. Overview
9.3.2. Google Play Market Forecast and Analysis
9.4. APPLE APP STORE
9.4.1. Overview
9.4.2. Apple App Store Market Forecast and Analysis
9.5. OTHERS
9.5.1. Overview
9.5.2. Others Market Forecast and Analysis
10. INTELLIGENT APPS MARKET - REVENUE AND FORECASTS TO 2028 - DEPLOYMENT
10.1. OVERVIEW
10.2. DEPLOYMENT MARKET FORECASTS AND ANALYSIS
10.3. CLOUD
10.3.1. Overview
10.3.2. Cloud Market Forecast and Analysis
10.4. ON-PREMISES
10.4.1. Overview
10.4.2. On-Premises Market Forecast and Analysis
11. INTELLIGENT APPS MARKET - REVENUE AND FORECASTS TO 2028 - VERTICAL
11.1. OVERVIEW
11.2. VERTICAL MARKET FORECASTS AND ANALYSIS
11.3. BFSI
11.3.1. Overview
11.3.2. BFSI Market Forecast and Analysis
11.4. TELECOM
11.4.1. Overview
11.4.2. Telecom Market Forecast and Analysis
11.5. RETAIL AND ECOMMERCE
11.5.1. Overview
11.5.2. Retail and eCommerce Market Forecast and Analysis
11.6. HEALTHCARE AND LIFE SCIENCE
11.6.1. Overview
11.6.2. Healthcare and Life Science Market Forecast and Analysis
11.7. EDUCATION
11.7.1. Overview
11.7.2. Education Market Forecast and Analysis
11.8. MEDIA AND ENTERTAINMENT
11.8.1. Overview
11.8.2. Media and Entertainment Market Forecast and Analysis
11.9. TRAVEL AND HOSPITALITY
11.9.1. Overview
11.9.2. Travel and Hospitality Market Forecast and Analysis
11.10. OTHERS
11.10.1. Overview
11.10.2. Others Market Forecast and Analysis
12. INTELLIGENT APPS MARKET REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
12.1. NORTH AMERICA
12.1.1 North America Intelligent Apps Market Overview
12.1.2 North America Intelligent Apps Market Forecasts and Analysis
12.1.3 North America Intelligent Apps Market Forecasts and Analysis - By Type
12.1.4 North America Intelligent Apps Market Forecasts and Analysis - By Services
12.1.5 North America Intelligent Apps Market Forecasts and Analysis - By Store Type
12.1.6 North America Intelligent Apps Market Forecasts and Analysis - By Deployment
12.1.7 North America Intelligent Apps Market Forecasts and Analysis - By Vertical
12.1.8 North America Intelligent Apps Market Forecasts and Analysis - By Countries
12.1.8.1 United States Intelligent Apps Market
12.1.8.1.1 United States Intelligent Apps Market by Type
12.1.8.1.2 United States Intelligent Apps Market by Services
12.1.8.1.3 United States Intelligent Apps Market by Store Type
12.1.8.1.4 United States Intelligent Apps Market by Deployment
12.1.8.1.5 United States Intelligent Apps Market by Vertical
12.1.8.2 Canada Intelligent Apps Market
12.1.8.2.1 Canada Intelligent Apps Market by Type
12.1.8.2.2 Canada Intelligent Apps Market by Services
12.1.8.2.3 Canada Intelligent Apps Market by Store Type
12.1.8.2.4 Canada Intelligent Apps Market by Deployment
12.1.8.2.5 Canada Intelligent Apps Market by Vertical
12.1.8.3 Mexico Intelligent Apps Market
12.1.8.3.1 Mexico Intelligent Apps Market by Type
12.1.8.3.2 Mexico Intelligent Apps Market by Services
12.1.8.3.3 Mexico Intelligent Apps Market by Store Type
12.1.8.3.4 Mexico Intelligent Apps Market by Deployment
12.1.8.3.5 Mexico Intelligent Apps Market by Vertical
12.2. EUROPE
12.2.1 Europe Intelligent Apps Market Overview
12.2.2 Europe Intelligent Apps Market Forecasts and Analysis
12.2.3 Europe Intelligent Apps Market Forecasts and Analysis - By Type
12.2.4 Europe Intelligent Apps Market Forecasts and Analysis - By Services
12.2.5 Europe Intelligent Apps Market Forecasts and Analysis - By Store Type
12.2.6 Europe Intelligent Apps Market Forecasts and Analysis - By Deployment
12.2.7 Europe Intelligent Apps Market Forecasts and Analysis - By Vertical
12.2.8 Europe Intelligent Apps Market Forecasts and Analysis - By Countries
12.2.8.1 Germany Intelligent Apps Market
12.2.8.1.1 Germany Intelligent Apps Market by Type
12.2.8.1.2 Germany Intelligent Apps Market by Services
12.2.8.1.3 Germany Intelligent Apps Market by Store Type
12.2.8.1.4 Germany Intelligent Apps Market by Deployment
12.2.8.1.5 Germany Intelligent Apps Market by Vertical
12.2.8.2 France Intelligent Apps Market
12.2.8.2.1 France Intelligent Apps Market by Type
12.2.8.2.2 France Intelligent Apps Market by Services
12.2.8.2.3 France Intelligent Apps Market by Store Type
12.2.8.2.4 France Intelligent Apps Market by Deployment
12.2.8.2.5 France Intelligent Apps Market by Vertical
12.2.8.3 Italy Intelligent Apps Market
12.2.8.3.1 Italy Intelligent Apps Market by Type
12.2.8.3.2 Italy Intelligent Apps Market by Services
12.2.8.3.3 Italy Intelligent Apps Market by Store Type
12.2.8.3.4 Italy Intelligent Apps Market by Deployment
12.2.8.3.5 Italy Intelligent Apps Market by Vertical
12.2.8.4 United Kingdom Intelligent Apps Market
12.2.8.4.1 United Kingdom Intelligent Apps Market by Type
12.2.8.4.2 United Kingdom Intelligent Apps Market by Services
12.2.8.4.3 United Kingdom Intelligent Apps Market by Store Type
12.2.8.4.4 United Kingdom Intelligent Apps Market by Deployment
12.2.8.4.5 United Kingdom Intelligent Apps Market by Vertical
12.2.8.5 Russia Intelligent Apps Market
12.2.8.5.1 Russia Intelligent Apps Market by Type
12.2.8.5.2 Russia Intelligent Apps Market by Services
12.2.8.5.3 Russia Intelligent Apps Market by Store Type
12.2.8.5.4 Russia Intelligent Apps Market by Deployment
12.2.8.5.5 Russia Intelligent Apps Market by Vertical
12.2.8.6 Rest of Europe Intelligent Apps Market
12.2.8.6.1 Rest of Europe Intelligent Apps Market by Type
12.2.8.6.2 Rest of Europe Intelligent Apps Market by Services
12.2.8.6.3 Rest of Europe Intelligent Apps Market by Store Type
12.2.8.6.4 Rest of Europe Intelligent Apps Market by Deployment
12.2.8.6.5 Rest of Europe Intelligent Apps Market by Vertical
12.3. ASIA-PACIFIC
12.3.1 Asia-Pacific Intelligent Apps Market Overview
12.3.2 Asia-Pacific Intelligent Apps Market Forecasts and Analysis
12.3.3 Asia-Pacific Intelligent Apps Market Forecasts and Analysis - By Type
12.3.4 Asia-Pacific Intelligent Apps Market Forecasts and Analysis - By Services
12.3.5 Asia-Pacific Intelligent Apps Market Forecasts and Analysis - By Store Type
12.3.6 Asia-Pacific Intelligent Apps Market Forecasts and Analysis - By Deployment
12.3.7 Asia-Pacific Intelligent Apps Market Forecasts and Analysis - By Vertical
12.3.8 Asia-Pacific Intelligent Apps Market Forecasts and Analysis - By Countries
12.3.8.1 Australia Intelligent Apps Market
12.3.8.1.1 Australia Intelligent Apps Market by Type
12.3.8.1.2 Australia Intelligent Apps Market by Services
12.3.8.1.3 Australia Intelligent Apps Market by Store Type
12.3.8.1.4 Australia Intelligent Apps Market by Deployment
12.3.8.1.5 Australia Intelligent Apps Market by Vertical
12.3.8.2 China Intelligent Apps Market
12.3.8.2.1 China Intelligent Apps Market by Type
12.3.8.2.2 China Intelligent Apps Market by Services
12.3.8.2.3 China Intelligent Apps Market by Store Type
12.3.8.2.4 China Intelligent Apps Market by Deployment
12.3.8.2.5 China Intelligent Apps Market by Vertical
12.3.8.3 India Intelligent Apps Market
12.3.8.3.1 India Intelligent Apps Market by Type
12.3.8.3.2 India Intelligent Apps Market by Services
12.3.8.3.3 India Intelligent Apps Market by Store Type
12.3.8.3.4 India Intelligent Apps Market by Deployment
12.3.8.3.5 India Intelligent Apps Market by Vertical
12.3.8.4 Japan Intelligent Apps Market
12.3.8.4.1 Japan Intelligent Apps Market by Type
12.3.8.4.2 Japan Intelligent Apps Market by Services
12.3.8.4.3 Japan Intelligent Apps Market by Store Type
12.3.8.4.4 Japan Intelligent Apps Market by Deployment
12.3.8.4.5 Japan Intelligent Apps Market by Vertical
12.3.8.5 South Korea Intelligent Apps Market
12.3.8.5.1 South Korea Intelligent Apps Market by Type
12.3.8.5.2 South Korea Intelligent Apps Market by Services
12.3.8.5.3 South Korea Intelligent Apps Market by Store Type
12.3.8.5.4 South Korea Intelligent Apps Market by Deployment
12.3.8.5.5 South Korea Intelligent Apps Market by Vertical
12.3.8.6 Rest of Asia-Pacific Intelligent Apps Market
12.3.8.6.1 Rest of Asia-Pacific Intelligent Apps Market by Type
12.3.8.6.2 Rest of Asia-Pacific Intelligent Apps Market by Services
12.3.8.6.3 Rest of Asia-Pacific Intelligent Apps Market by Store Type
12.3.8.6.4 Rest of Asia-Pacific Intelligent Apps Market by Deployment
12.3.8.6.5 Rest of Asia-Pacific Intelligent Apps Market by Vertical
12.4. MIDDLE EAST AND AFRICA
12.4.1 Middle East and Africa Intelligent Apps Market Overview
12.4.2 Middle East and Africa Intelligent Apps Market Forecasts and Analysis
12.4.3 Middle East and Africa Intelligent Apps Market Forecasts and Analysis - By Type
12.4.4 Middle East and Africa Intelligent Apps Market Forecasts and Analysis - By Services
12.4.5 Middle East and Africa Intelligent Apps Market Forecasts and Analysis - By Store Type
12.4.6 Middle East and Africa Intelligent Apps Market Forecasts and Analysis - By Deployment
12.4.7 Middle East and Africa Intelligent Apps Market Forecasts and Analysis - By Vertical
12.4.8 Middle East and Africa Intelligent Apps Market Forecasts and Analysis - By Countries
12.4.8.1 South Africa Intelligent Apps Market
12.4.8.1.1 South Africa Intelligent Apps Market by Type
12.4.8.1.2 South Africa Intelligent Apps Market by Services
12.4.8.1.3 South Africa Intelligent Apps Market by Store Type
12.4.8.1.4 South Africa Intelligent Apps Market by Deployment
12.4.8.1.5 South Africa Intelligent Apps Market by Vertical
12.4.8.2 Saudi Arabia Intelligent Apps Market
12.4.8.2.1 Saudi Arabia Intelligent Apps Market by Type
12.4.8.2.2 Saudi Arabia Intelligent Apps Market by Services
12.4.8.2.3 Saudi Arabia Intelligent Apps Market by Store Type
12.4.8.2.4 Saudi Arabia Intelligent Apps Market by Deployment
12.4.8.2.5 Saudi Arabia Intelligent Apps Market by Vertical
12.4.8.3 U.A.E Intelligent Apps Market
12.4.8.3.1 U.A.E Intelligent Apps Market by Type
12.4.8.3.2 U.A.E Intelligent Apps Market by Services
12.4.8.3.3 U.A.E Intelligent Apps Market by Store Type
12.4.8.3.4 U.A.E Intelligent Apps Market by Deployment
12.4.8.3.5 U.A.E Intelligent Apps Market by Vertical
12.4.8.4 Rest of Middle East and Africa Intelligent Apps Market
12.4.8.4.1 Rest of Middle East and Africa Intelligent Apps Market by Type
12.4.8.4.2 Rest of Middle East and Africa Intelligent Apps Market by Services
12.4.8.4.3 Rest of Middle East and Africa Intelligent Apps Market by Store Type
12.4.8.4.4 Rest of Middle East and Africa Intelligent Apps Market by Deployment
12.4.8.4.5 Rest of Middle East and Africa Intelligent Apps Market by Vertical
12.5. SOUTH AND CENTRAL AMERICA
12.5.1 South and Central America Intelligent Apps Market Overview
12.5.2 South and Central America Intelligent Apps Market Forecasts and Analysis
12.5.3 South and Central America Intelligent Apps Market Forecasts and Analysis - By Type
12.5.4 South and Central America Intelligent Apps Market Forecasts and Analysis - By Services
12.5.5 South and Central America Intelligent Apps Market Forecasts and Analysis - By Store Type
12.5.6 South and Central America Intelligent Apps Market Forecasts and Analysis - By Deployment
12.5.7 South and Central America Intelligent Apps Market Forecasts and Analysis - By Vertical
12.5.8 South and Central America Intelligent Apps Market Forecasts and Analysis - By Countries
12.5.8.1 Brazil Intelligent Apps Market
12.5.8.1.1 Brazil Intelligent Apps Market by Type
12.5.8.1.2 Brazil Intelligent Apps Market by Services
12.5.8.1.3 Brazil Intelligent Apps Market by Store Type
12.5.8.1.4 Brazil Intelligent Apps Market by Deployment
12.5.8.1.5 Brazil Intelligent Apps Market by Vertical
12.5.8.2 Argentina Intelligent Apps Market
12.5.8.2.1 Argentina Intelligent Apps Market by Type
12.5.8.2.2 Argentina Intelligent Apps Market by Services
12.5.8.2.3 Argentina Intelligent Apps Market by Store Type
12.5.8.2.4 Argentina Intelligent Apps Market by Deployment
12.5.8.2.5 Argentina Intelligent Apps Market by Vertical
12.5.8.3 Rest of South and Central America Intelligent Apps Market
12.5.8.3.1 Rest of South and Central America Intelligent Apps Market by Type
12.5.8.3.2 Rest of South and Central America Intelligent Apps Market by Services
12.5.8.3.3 Rest of South and Central America Intelligent Apps Market by Store Type
12.5.8.3.4 Rest of South and Central America Intelligent Apps Market by Deployment
12.5.8.3.5 Rest of South and Central America Intelligent Apps Market by Vertical
13. INDUSTRY LANDSCAPE
13.1. MERGERS AND ACQUISITIONS
13.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
13.3. NEW PRODUCT LAUNCHES
13.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
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.
14.4.1. Key Facts
14.4.2. Business Description
14.4.3. Products and Services
14.4.4. Financial Overview
14.4.5. SWOT Analysis
14.4.6. Key Developments
14.5. GOOGLE
14.5.1. Key Facts
14.5.2. Business Description
14.5.3. Products and Services
14.5.4. Financial Overview
14.5.5. SWOT Analysis
14.5.6. Key Developments
14.6. H2O.AI
14.6.1. Key Facts
14.6.2. Business Description
14.6.3. Products and Services
14.6.4. Financial Overview
14.6.5. SWOT Analysis
14.6.6. Key Developments
14.7. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
14.7.1. Key Facts
14.7.2. Business Description
14.7.3. Products and Services
14.7.4. Financial Overview
14.7.5. SWOT Analysis
14.7.6. Key Developments
14.8. MICROSOFT
14.8.1. Key Facts
14.8.2. Business Description
14.8.3. Products and Services
14.8.4. Financial Overview
14.8.5. SWOT Analysis
14.8.6. Key Developments
14.9. ORACLE
14.9.1. Key Facts
14.9.2. Business Description
14.9.3. Products and Services
14.9.4. Financial Overview
14.9.5. SWOT Analysis
14.9.6. Key Developments
14.10. SAP
14.10.1. Key Facts
14.10.2. Business Description
14.10.3. Products and Services
14.10.4. Financial Overview
14.10.5. SWOT Analysis
14.10.6. Key Developments
15. APPENDIX
15.1. ABOUT THE INSIGHT PARTNERS
15.2. GLOSSARY OF TERMS
1.IBM
2.Apple Inc.
3.Ayasdi AI LLC
4.BigML, Inc.
5.Google
6.H2O.ai
7.Hewlett Packard Enterprise Development LP
8.Microsoft
9.Oracle
10.SAP
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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