AI in IoT Market by Component (Platforms, Software Solutions, and Services), Technology (ML and Deep Learning, and NLP), Vertical (Transportation and Mobility, Energy and Utilities, Manufacturing, and Retail), and Region - Global Forecast to 2024

Abstract
Apex Market Research has published a new report titled ”Global AI in IoT Market share, forecast data, In-Depth Analysis, and Forecast, 2020-2027”. According to the report, The global AI in IoT market is estimated to grow from USD 5.1 billion in 2019 to USD 16.2 billion by 2024, at a CAGR of 26%. The report offers in-depth insights, revenue details, and other vital information regarding the global AI in IoT market and the various trends, drivers, restraints, opportunities, and threats in the target market till 2027.

Attractive Opportunities in the AI in IoT market

The report covers an in depth description, competitive scenario, wide product portfolio of key vendors and business strategy adopted by competitors along with their SWOT analysis, revenue, sales and Porter's Five Forces Analysis.
Global AI in IoT market report offers in-depth insights, revenue details, and other vital information regarding the global AI in IoT market, and the various trends, drivers, restraints, opportunities, and threats in the target market till year 2027. Hence, it covers the impact of these drivers and restraints on demand for this market during the forecast period.
It provides historical data along with future forecast as well as detailed analysis of market on a global, regional and country level. Important market data of this market is projected in the form of tables, graphics, and pictures. On a regional basis, the market is categorized into five regions that include North America, Europe, Asia Pacific, Latin America, and Middle & East Africa. It analyzes complete scenario of each and every region along with highest shareholder of AI in IoT market. The major players operating into AI in IoT Market include: Google (US)
Microsoft (US)
IBM (US)
AWS (US)
Oracle (US)
SAP (Germany)
PTC (US)
GE (US)
Salesforce (US)
Hitachi (Japan)
Uptake (US)
SAS (US)
Autoplant Systems Pvt Ltd. (India)
Kairos (US)
Softweb Solutions (US)
Arundo (US)
C3 IoT (US)
Anagog (Israel)
Imagimob (Sweden)
and Thingstel (India) Scope Of the Report
Report Parameters Details of Parameter
Market Size 2020-2027
Based Year 2019
Forecast Period Covered 2020-2027
Units for value Billion (USD)
Covered Segments Components, Technologies, Verticals, and Regions
Region Covered North America (the United States, Canada, and Mexico)
Europe (Germany, UK, France, Italy, and Russia, etc.)
Asia-Pacific (China, Japan, ASEAN, India, and Korea)
The Middle East and Africa (UAE, Egypt, South Africa, Saudi Arabia)
South America (Brazil, Chile, Peru, and Argentina)
This research report categorizes the AI in IoT market to forecast revenues and analyze trends in each of the following submarkets:

Based on Components, the AI in IoT market has the following segments:

  • Platforms
  • Software Solutions
  • Services
    • Professional Services
      • Deployment and Integration
      • Support and Maintenance
      • Training and Consulting
    • Managed Services

Based on Technologies, the AI in IoT market has the following segments:

  • ML and Deep Learning
  • NLP

Based on Verticals, the AI in IoT market has the following segments:

  • Manufacturing
  • Energy and Utilities
  • Transportation and Mobility
  • BFSI
  • Government and Defense
  • Retail
  • Healthcare and Life Sciences
  • Telecom
  • Others (agriculture, education, telecom, and tourism and hospitality)
By geography, this market has been segregated into five regions with revenue and growth rate of AI in IoT from 2020 to 2027,
There are 13 chapters to put on view for AI in IoT Market:
Chapter 1: Market Overview, Drivers, Restraints and Opportunities, Segmentation overview Chapter 2: Market competition by Manufacturers Chapter 3: Production by Regions Chapter 4: Consumption by Regions Chapter 5: Production, By Types, Revenue and Market share by Types Chapter 6: Consumption, By Applications, Market share (%) and Growth Rate by Applications Chapter 7: Complete profiling and analysis of Manufacturers Chapter 8: Manufacturing cost analysis, Raw materials analysis, Region-wise manufacturing expenses Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers Chapter 10: Marketing Strategy Analysis, Distributors/Traders Chapter 11: Market Effect Factors Analysis Chapter 12: Market Forecast Chapter 13: AI in IoT Research Findings and Conclusion, Appendix, methodology and data source Data type include capacity, production, market share, price, revenue, cost, gross, gross margin, growth rate, consumption, import, export have been determined using secondary sources and verified primary sources. Industry chain, manufacturing process, cost structure, marketing channel are also analyzed in this report. Industry Chain Analysis Raw Material and Suppliers Equipment and Suppliers Manufacturing Process Manufacturing Cost Structure Manufacturing Plants Distribution Analysis Available Customizations We can also provide customized report as per company's specific needs. We can also provide the customized separate regional or country-level reports, for the specific region as per client requirement.
Chapter 1 Industry Overview 1.1 AI in IoT Market Overview 1.1.1 AI in IoT Product Scope 1.1.2 Market Status and Outlook 1.2 Global AI in IoT Market Size and Analysis by Regions (2015-2019) 1.2.1 North America AI in IoT Market Status and Outlook 1.2.2 EU AI in IoT Market Status and Outlook 1.2.3 Japan AI in IoT Market Status and Outlook 1.2.4 China AI in IoT Market Status and Outlook 1.2.5 India AI in IoT Market Status and Outlook 1.2.6 Southeast Asia AI in IoT Market Status and Outlook 1.3 Global AI in IoT Market Segment Based on Components, the AI in IoT market has the following segments:
1.3.1 Introduction
1.3.1.1 Market Estimates And Forecast 2015-2027
1.3.1 Platforms
1.3.1.1 Market Estimates And Forecast By Country, 2015-2027
1.3.2 Software Solutions
1.3.2.1 Market Estimates And Forecast By Country, 2015-2027
1.3.2 Services
1.3.3 Professional Services
1.3.3.1 Deployment and Integration
1.3.3.2 Support and Maintenance
1.3.3.3 Training and Consulting
1.3.3.4 Market Estimates And Forecast By Country, 2015-2027
1.3.3.3 Managed Services
1.3.3.4 Market Estimates And Forecast By Country, 2015-2027
1.4 Global AI in IoT Market Segment Based on Technologies, the AI in IoT market has the following segments:
1.4.1 Introduction
1.4.1.1 Market Estimates And Forecast 2015-2027
1.4.1 ML and Deep Learning
1.4.1.1 Market Estimates And Forecast By Country, 2015-2027
1.4.2 NLP
1.4.2.1 Market Estimates And Forecast By Country, 2015-2027
1.5 Global AI in IoT Market Segment Based on Verticals, the AI in IoT market has the following segments:
1.5.1 Introduction
1.5.1.1 Market Estimates And Forecast 2015-2027
1.5.1 Manufacturing
1.5.1.1 Market Estimates And Forecast By Country, 2015-2027
1.5.2 Energy and Utilities
1.5.2.1 Market Estimates And Forecast By Country, 2015-2027
1.5.3 Transportation and Mobility
1.5.3.1 Market Estimates And Forecast By Country, 2015-2027
1.5.4 BFSI
1.5.4.1 Market Estimates And Forecast By Country, 2015-2027
1.5.5 Government and Defense
1.5.5.1 Market Estimates And Forecast By Country, 2015-2027
1.5.6 Retail
1.5.6.1 Market Estimates And Forecast By Country, 2015-2027
1.5.7 Healthcare and Life Sciences
1.5.7.1 Market Estimates And Forecast By Country, 2015-2027
1.5.8 Telecom
1.5.8.1 Market Estimates And Forecast By Country, 2015-2027
1.5.9 Others (agriculture, education, telecom, and tourism and hospitality)
1.5.9.1 Market Estimates And Forecast By Country, 2015-2027
Chapter 2 Global AI in IoT Competition Analysis by Players 2.1 Global AI in IoT Market Size (Million USD) by Players (2015-2019) 2.2 Competitive Status and Trend 2.2.1 Market Concentration Rate 2.2.2 Product/Service Differences 2.2.3 New Entrants 2.2.4 The Technology Trends in Future Chapter 3 Company (Top Players) Profiles and Key Data 3.1 Google (US) 3.1.1 Company Profile 3.1.2 Main Business/Business Overview 3.1.3 Products, Services and Solutions 3.1.4 Google (US), AI in IoT Revenue (Million USD) (2015-2019) 3.1.5 Recent Developments 3.2 Microsoft (US) 3.2.1 Company Profile 3.2.2 Main Business/Business Overview 3.2.3 Products, Services and Solutions 3.2.4 Microsoft (US), AI in IoT Revenue (Million USD) (2015-2019) 3.2.5 Recent Developments 3.3 IBM (US) 3.3.1 Company Profile 3.3.2 Main Business/Business Overview 3.3.3 Products, Services and Solutions 3.3.4 IBM (US), AI in IoT Revenue (Million USD) (2015-2019) 3.3.5 Recent Developments 3.4 AWS (US) 3.4.1 Company Profile 3.4.2 Main Business/Business Overview 3.4.3 Products, Services and Solutions 3.4.4 AWS (US), AI in IoT Revenue (Million USD) (2015-2019) 3.4.5 Recent Developments 3.5 Oracle (US) 3.5.1 Company Profile 3.5.2 Main Business/Business Overview 3.5.3 Products, Services and Solutions 3.5.4 Oracle (US), AI in IoT Revenue (Million USD)(2015-2019) 3.5.5 Recent Developments 3.6 SAP (Germany) 3.6.1 Company Profile 3.6.2 Main Business/Business Overview 3.6.3 Products, Services and Solutions 3.6.4 SAP (Germany), AI in IoT Revenue (Million USD)(2015-2019) 3.6.5 Recent Developments 3.7 PTC (US) 3.7.1 Company Profile 3.7.2 Main Business/Business Overview 3.7.3 Products, Services and Solutions 3.7.4 PTC (US), AI in IoT Revenue (Million USD)(2015-2019) 3.7.5 Recent Developments 3.8 GE (US) 3.8.1 Company Profile 3.8.2 Main Business/Business Overview 3.8.3 Products, Services and Solutions 3.8.4 GE (US), AI in IoT Revenue (Million USD) (2015-2019) 3.8.5 Recent Developments 3.9 Salesforce (US) 3.9.1 Company Profile 3.9.2 Main Business/Business Overview 3.9.3 Products, Services and Solutions 3.9.4 Salesforce (US), AI in IoT Revenue (Million USD) (2015-2019) 3.9.5 Recent Developments 3.10 Hitachi (Japan) 3.10.1 Company Profile 3.10.2 Main Business/Business Overview 3.10.3 Products, Services and Solutions 3.10.4 Hitachi (Japan), AI in IoT Revenue (Million USD) (2015-2019) 3.10.5 Recent Developments Chapter 4 Global AI in IoT Market Size Type (2015-2019) 4.1 Global AI in IoT Market Size by Type (2015-2019) Chapter 5 Global AI in IoT Market Size Application (2015-2019) 5.1 Global AI in IoT Market Size by Application (2015-2019) 5.2 Potential Application of AI in IoT in Future 5.3 Top Consumer / End Users of AI in IoT Chapter 6 North America AI in IoT Development Status and Outlook 6.1 North America AI in IoT Market Size (2015-2019) 6.2 North America AI in IoT Market Size by Application (2015-2019) Chapter 7 EU AI in IoT Development Status and Outlook 7.1 EU AI in IoT Market Size (2015-2019) 7.2 EU AI in IoT Market Size by Application (2015-2019) Chapter 8 Japan AI in IoT Development Status and Outlook 8.1 Japan AI in IoT Market Size (2015-2019) 8.2 Japan AI in IoT Market Size by Application (2015-2019) Chapter 9 China AI in IoT Development Status and Outlook 9.1 China AI in IoT Market Size and Forecast (2015-2019) 9.2 China AI in IoT Market Size by Application (2015-2019) Chapter 10 India AI in IoT Development Status and Outlook 10.1 India AI in IoT Market Size and Forecast (2015-2019) 10.2 India AI in IoT Market Size by Application (2015-2019) Chapter 11 Southeast Asia AI in IoT Development Status and Outlook 11.1 Southeast Asia AI in IoT Market Size and Forecast (2015-2019) 11.2 Southeast Asia AI in IoT Market Size by Application (2015-2019) Chapter 12 Market Forecast by Regions and Application (2020-2027) 12.1 Global AI in IoT Market Size (Million USD) by Regions (2020-2027) 12.1. North America AI in IoT Revenue and Growth Rate (2020-2027) 12.1.2 EU AI in IoT Revenue and Growth Rate (2020-2027) 12.1.3 China AI in IoT Revenue and Growth Rate (2020-2027) 12.1.4 Japan AI in IoT Revenue and Growth Rate (2020-2027) 12.1.5 Southeast Asia AI in IoT Revenue and Growth Rate (2020-2027) 12.1.6 India AI in IoT Revenue and Growth Rate (2020-2027) 12.2 Global AI in IoT Market Size by Application (2020-2027) Chapter 13 AI in IoT Market Dynamics 13.1 AI in IoT Market Opportunities 13.2 AI in IoT Challenge and Risk 13.2.1 Competition from Opponents 13.2.2 Downside Risks of Economy 13.3 AI in IoT Market Constraints and Threat 13.3.1 Threat from Substitute 13.3.2 Government Policy 13.3.3 Technology Risks 13.4 AI in IoT Market Driving Force 13.4.1 Growing Demand from Emerging Markets 13.4.2 Potential Application Chapter 14 Market Effect Factors Analysis 14.1 Technology Progress/Risk 14.1.1 Substitutes 14.1.2 Technology Progress in Related Industry 14.2 Consumer Needs Trend/Customer Preference 14.3 External Environmental Change 14.3.1 Economic Fluctuations 14.3.2 Other Risk Factors Chapter 15 Research Finding /Conclusion Chapter 16 Methodology and Data Source 16.1 Methodology/Research Approach 16.1.1 Research Programs/Design 16.1.2 Market Size Estimation 16.1.3 Market Breakdown and Data Triangulation 16.2 Data Source 16.2.1 Secondary Sources 16.2.2 Primary Sources 16.3 Disclaimer 16.4 Author List
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