AI in IoT Market 2020 by Application, Regions Analysis(Europe, Asia Pacific, North America and South America), Type and Manufacturers, Forecast to 2028 (Updated Report Available)
ID : RI_
132712 | Date :
Aug, 2020 | Pages :
146 | Region : Global |
Publisher : Ri
Reports Insights has added a new detailed report on Global AI in IoT Market to its humongous database with the vision to shape the future of related businesses. The report covers the detailed information including growth rate, driving forces, market size, market trends, challenges, oppotunities and competitive analysis on the global and regional basis.
AI applications for IoT enable companies to avoid unplanned downtime, increase operating efficiency, spawn new products and services, and enhance risk management.
The Global AI in IoT Market was valued at xx Million US$ in 2019 and is projected to reach xx Million US$ by 2028, at a CAGR of xx% during the forecast period. In this study, 2019 has been considered as the base year and 2020 to 2028.
Different leading key players have been profiled to get better insights into the businesses. It offers detailed elaboration on different top-level industries which are functioning in global regions. It includes informative data such as company overview, contact information, and some significant strategies followed by key players.
The Top Key Players include:
IBM
Microsoft
Google
PTC
AWS
Oracle
GE
Salesforce
SAP
Hitachi
Uptake
SAS
Autoplant Systems India Pvt. Ltd.
Kairos
Softweb Solutions
Arundo
C3 IoT
Anagog
Thingstel
Imagimob
The global AI in IoT market is the professional and accurate study of various business perspectives such as major key players, key geographies, divers, restraints, opportunities, and challenges. This global research report has been aggregated on the basis of various market segments and sub-segments associated with the global market.
Global AI in IoT Market Key Segments: On the Basis of Type:
Platforms
Software Solutions
Services
On the Basis of Application:
Manufacturing
Energy and Utilities
Transportation and Mobility
Banking, Financial Services, and Insurance
Government and Defense
Retail
Others On the Basis of Region:
North America
Europe
Asia-Pacific
Latin America
Middle East and Africa (MEA)
Research Snapshot:
Historic Period: 2014 - 2018
Base Year: 2019
Forecast Period: 2020-2028
Geographically, the global AI in IoT market has been analyzed in various regions such as North America, Latin America, Middle East, Asia-Pacific, Africa, Europe, and India. The global AI in IoT region is dominating this market in the upcoming future.
The study objectives of global market research report:
To analyze the global AI in IoT market on the basis of several business verticals such as drivers, restraints, and opportunities
It offers detailed elaboration on the global competitive landscape
To get an informative data of various leading key industries functioning across the global regions
It offers qualitative and quantitative analysis of the global AI in IoT market
It offers all-inclusive information of global market along with its features, applications, challenges, threats, and opportunities
The major key questions addressed through this innovative research report:
What are the major challenges in front of the global AI in IoT market?
Who are the key vendors of the global AI in IoT market?
What are the leading key industries of the global AI in IoT market?
Which factors are responsible for driving the global AI in IoT market?
What are the key outcomes of SWOT and Porter\'s five analysis?
What are the major key strategies for enhancing global opportunities?
What are the different effective sales patterns?
What will be the global market size in the forecast period?
Any special requirements about this report, please let us know and we can provide custom report.
Note – In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19.
Table of Contents
1 AI in IoT Market Overview
1.1 Product Overview and Scope of AI in IoT
1.2 Classification of AI in IoT by Types
1.2.1 Global AI in IoT Revenue Comparison by Types (2019-2028)
1.2.2 Global AI in IoT Revenue Market Share by Types in 2019
1.2.3 Platforms
1.2.4 Software Solutions
1.2.5 Services
1.3 Global AI in IoT Market by Application
1.3.1 Global AI in IoT Market Size and Market Share Comparison by Applications (2014-2028)
1.3.2 Manufacturing
1.3.3 Energy and Utilities
1.3.4 Transportation and Mobility
1.3.5 Banking, Financial Services, and Insurance
1.3.6 Government and Defense
1.3.7 Retail
1.3.8 Others
1.4 Global AI in IoT Market by Regions
1.4.1 Global AI in IoT Market Size (Million USD) Comparison by Regions (2014-2028)
1.4.1 North America (USA, Canada and Mexico) AI in IoT Status and Prospect (2014-2028)
1.4.2 Europe (Germany, France, UK, Russia and Italy) AI in IoT Status and Prospect (2014-2028)
1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) AI in IoT Status and Prospect (2014-2028)
1.4.4 South America (Brazil, Argentina, Colombia) AI in IoT Status and Prospect (2014-2028)
1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) AI in IoT Status and Prospect (2014-2028)
1.5 Global Market Size of AI in IoT (2014-2028)
2 Manufacturers Profiles
2.1 IBM
2.1.1 Business Overview
2.1.2 AI in IoT Type and Applications
2.1.2.1 Product A
2.1.2.2 Product B
2.1.3 IBM AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.2 Microsoft
2.2.1 Business Overview
2.2.2 AI in IoT Type and Applications
2.2.2.1 Product A
2.2.2.2 Product B
2.2.3 Microsoft AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.3 Google
2.3.1 Business Overview
2.3.2 AI in IoT Type and Applications
2.3.2.1 Product A
2.3.2.2 Product B
2.3.3 Google AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.4 PTC
2.4.1 Business Overview
2.4.2 AI in IoT Type and Applications
2.4.2.1 Product A
2.4.2.2 Product B
2.4.3 PTC AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.5 AWS
2.5.1 Business Overview
2.5.2 AI in IoT Type and Applications
2.5.2.1 Product A
2.5.2.2 Product B
2.5.3 AWS AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.6 Oracle
2.6.1 Business Overview
2.6.2 AI in IoT Type and Applications
2.6.2.1 Product A
2.6.2.2 Product B
2.6.3 Oracle AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.7 GE
2.7.1 Business Overview
2.7.2 AI in IoT Type and Applications
2.7.2.1 Product A
2.7.2.2 Product B
2.7.3 GE AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.8 Salesforce
2.8.1 Business Overview
2.8.2 AI in IoT Type and Applications
2.8.2.1 Product A
2.8.2.2 Product B
2.8.3 Salesforce AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.9 SAP
2.9.1 Business Overview
2.9.2 AI in IoT Type and Applications
2.9.2.1 Product A
2.9.2.2 Product B
2.9.3 SAP AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.10 Hitachi
2.10.1 Business Overview
2.10.2 AI in IoT Type and Applications
2.10.2.1 Product A
2.10.2.2 Product B
2.10.3 Hitachi AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.11 Uptake
2.11.1 Business Overview
2.11.2 AI in IoT Type and Applications
2.11.2.1 Product A
2.11.2.2 Product B
2.11.3 Uptake AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.12 SAS
2.12.1 Business Overview
2.12.2 AI in IoT Type and Applications
2.12.2.1 Product A
2.12.2.2 Product B
2.12.3 SAS AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.13 Autoplant Systems India Pvt. Ltd.
2.13.1 Business Overview
2.13.2 AI in IoT Type and Applications
2.13.2.1 Product A
2.13.2.2 Product B
2.13.3 Autoplant Systems India Pvt. Ltd. AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.14 Kairos
2.14.1 Business Overview
2.14.2 AI in IoT Type and Applications
2.14.2.1 Product A
2.14.2.2 Product B
2.14.3 Kairos AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.15 Softweb Solutions
2.15.1 Business Overview
2.15.2 AI in IoT Type and Applications
2.15.2.1 Product A
2.15.2.2 Product B
2.15.3 Softweb Solutions AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.16 Arundo
2.16.1 Business Overview
2.16.2 AI in IoT Type and Applications
2.16.2.1 Product A
2.16.2.2 Product B
2.16.3 Arundo AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.17 C3 IoT
2.17.1 Business Overview
2.17.2 AI in IoT Type and Applications
2.17.2.1 Product A
2.17.2.2 Product B
2.17.3 C3 IoT AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.18 Anagog
2.18.1 Business Overview
2.18.2 AI in IoT Type and Applications
2.18.2.1 Product A
2.18.2.2 Product B
2.18.3 Anagog AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.19 Thingstel
2.19.1 Business Overview
2.19.2 AI in IoT Type and Applications
2.19.2.1 Product A
2.19.2.2 Product B
2.19.3 Thingstel AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
2.20 Imagimob
2.20.1 Business Overview
2.20.2 AI in IoT Type and Applications
2.20.2.1 Product A
2.20.2.2 Product B
2.20.3 Imagimob AI in IoT Revenue, Gross Margin and Market Share (2018-2019)
3 Global AI in IoT Market Competition, by Players
3.1 Global AI in IoT Revenue and Share by Players (2014-2019)
3.2 Market Concentration Rate
3.2.1 Top 5 AI in IoT Players Market Share
3.2.2 Top 10 AI in IoT Players Market Share
3.3 Market Competition Trend
4 Global AI in IoT Market Size by Regions
4.1 Global AI in IoT Revenue and Market Share by Regions
4.2 North America AI in IoT Revenue and Growth Rate (2014-2019)
4.3 Europe AI in IoT Revenue and Growth Rate (2014-2019)
4.4 Asia-Pacific AI in IoT Revenue and Growth Rate (2014-2019)
4.5 South America AI in IoT Revenue and Growth Rate (2014-2019)
4.6 Middle East and Africa AI in IoT Revenue and Growth Rate (2014-2019)
5 North America AI in IoT Revenue by Countries
5.1 North America AI in IoT Revenue by Countries (2014-2019)
5.2 USA AI in IoT Revenue and Growth Rate (2014-2019)
5.3 Canada AI in IoT Revenue and Growth Rate (2014-2019)
5.4 Mexico AI in IoT Revenue and Growth Rate (2014-2019)
6 Europe AI in IoT Revenue by Countries
6.1 Europe AI in IoT Revenue by Countries (2014-2019)
6.2 Germany AI in IoT Revenue and Growth Rate (2014-2019)
6.3 UK AI in IoT Revenue and Growth Rate (2014-2019)
6.4 France AI in IoT Revenue and Growth Rate (2014-2019)
6.5 Russia AI in IoT Revenue and Growth Rate (2014-2019)
6.6 Italy AI in IoT Revenue and Growth Rate (2014-2019)
7 Asia-Pacific AI in IoT Revenue by Countries
7.1 Asia-Pacific AI in IoT Revenue by Countries (2014-2019)
7.2 China AI in IoT Revenue and Growth Rate (2014-2019)
7.3 Japan AI in IoT Revenue and Growth Rate (2014-2019)
7.4 Korea AI in IoT Revenue and Growth Rate (2014-2019)
7.5 India AI in IoT Revenue and Growth Rate (2014-2019)
7.6 Southeast Asia AI in IoT Revenue and Growth Rate (2014-2019)
8 South America AI in IoT Revenue by Countries
8.1 South America AI in IoT Revenue by Countries (2014-2019)
8.2 Brazil AI in IoT Revenue and Growth Rate (2014-2019)
8.3 Argentina AI in IoT Revenue and Growth Rate (2014-2019)
8.4 Colombia AI in IoT Revenue and Growth Rate (2014-2019)
9 Middle East and Africa Revenue AI in IoT by Countries
9.1 Middle East and Africa AI in IoT Revenue by Countries (2014-2019)
9.2 Saudi Arabia AI in IoT Revenue and Growth Rate (2014-2019)
9.3 UAE AI in IoT Revenue and Growth Rate (2014-2019)
9.4 Egypt AI in IoT Revenue and Growth Rate (2014-2019)
9.5 Nigeria AI in IoT Revenue and Growth Rate (2014-2019)
9.6 South Africa AI in IoT Revenue and Growth Rate (2014-2019)
10 Global AI in IoT Market Segment by Type
10.1 Global AI in IoT Revenue and Market Share by Type (2014-2019)
10.2 Global AI in IoT Market Forecast by Type (2019-2028)
10.3 Platforms Revenue Growth Rate (2014-2028)
10.4 Software Solutions Revenue Growth Rate (2014-2028)
10.5 Services Revenue Growth Rate (2014-2028)
11 Global AI in IoT Market Segment by Application
11.1 Global AI in IoT Revenue Market Share by Application (2014-2019)
11.2 AI in IoT Market Forecast by Application (2019-2028)
11.3 Manufacturing Revenue Growth (2014-2019)
11.4 Energy and Utilities Revenue Growth (2014-2019)
11.5 Transportation and Mobility Revenue Growth (2014-2019)
11.6 Banking, Financial Services, and Insurance Revenue Growth (2014-2019)
11.7 Government and Defense Revenue Growth (2014-2019)
11.8 Retail Revenue Growth (2014-2019)
11.9 Others Revenue Growth (2014-2019)
12 Global AI in IoT Market Size Forecast (2019-2028)
12.1 Global AI in IoT Market Size Forecast (2019-2028)
12.2 Global AI in IoT Market Forecast by Regions (2019-2028)
12.3 North America AI in IoT Revenue Market Forecast (2019-2028)
12.4 Europe AI in IoT Revenue Market Forecast (2019-2028)
12.5 Asia-Pacific AI in IoT Revenue Market Forecast (2019-2028)
12.6 South America AI in IoT Revenue Market Forecast (2019-2028)
12.7 Middle East and Africa AI in IoT Revenue Market Forecast (2019-2028)
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Data Source
Research Methodology
The Reports Insights offers technology-driven solutions and its full integration in the research process to be skilled at every step. We use diverse assets to produce the best results for our clients. The success of a research project is completely reliant on the research process adopted by the company. Reports Insights assists its clients to recognize opportunities by examining the global market and offering economic insights. We are proud of our extensive coverage that encompasses the understanding of numerous major industry domains.
Reports Insights provide consistency in our research report, also we provide on the part of the analysis of forecast across a gamut of coverage geographies and coverage. The research teams carry out primary and secondary research to implement and design the data collection procedure. The research team then analyzes data about the latest trends and major issues in reference to each industry and country. This helps to determine the anticipated market-related procedures in the future. The company offers technology-driven solutions and its full incorporation in the research method to be skilled at each step.
The Company's Research Process Has the Following Advantages:
Information Procurement
The step comprises the procurement of market-related information or data via different methodologies & sources.
Information Investigation
This step comprises the mapping and investigation of all the information procured from the earlier step. It also includes the analysis of data differences observed across numerous data sources.
Highly Authentic Source
We offer highly authentic information from numerous sources. To fulfills the client’s requirement.
Market Formulation
This step entails the placement of data points at suitable market spaces in an effort to assume possible conclusions. Analyst viewpoint and subject matter specialist based examining the form of market sizing also plays an essential role in this step.
Validation & Publishing of Information
Validation is a significant step in the procedure. Validation via an intricately designed procedure assists us to conclude data-points to be used for final calculations.
The report is pretty good as a whole. Especially, the analysis on margin and manufacturing cost is challenging to investigate in general. The team of Reports Insights provided a proper explanation to this. It helped me understand the market well, which leads to our interest in the next marketing report from Reports Insights. I would like to thank the entire team for living up to my expectations in terms of quality & value.
I am completely satisfied with the information given in the report. Report Insights is a value driven company just like us.
Privacy requested , Managing Director
Reports Insights have understood our exact need and Delivered a solution for our requirements. Our experience with them has been fantastic.
Privacy requested, President
Report of Reports Insight has given us the ability to compete with our competitors, every dollar we spend with Reports Insights is worth every penny Reports Insights have given us a robust solution.
