Published :
Tables : 50
Figures : 49
Category : Information & Communications Technology
No. of Pages : 0
Report Code : ICT1037
Artificial Intelligence in IoT Market is forecasted to value over USD 17 billion by 2027 end and grow at a CAGR of over 24% during the forecast period 2020 to 2027. Artificial Intelligence (AI) collects the complex and uncertain data of smart devices. The advancement of the Internet of Things has led us to everything being connected to the internet. Increase in smart devices application has led to frequent collection of big data. AI is effectively instrumental in gathering of big data. It provides the tools and structure to go further automation and real-time decision in cases related to IoT. The market is segmented into Natural Language Processing, MI and Deep Learning. Machine learning performs the task of automatic learning without ordering specific instructions. Machine learning has the ability to work as a strong analytical tool for huge data. The growing demand of tracking of asset, performance management appliances by transportation and connected is boosting the growth of the market. The growing need for enhanced customer experience through real-time monitoring is fueling the growth of the market. The need to reduce downtime and maintenance cost has boosted the growth of the market. Growing global mobile network operators for increasing connectivity platforms is also driving the growth of the market. The growing interest of IT sectors is also projecting the growth of the market. The emergence of smart home devices like Alexa and Google home alongside growing artificial intelligence is also boosting the market. However, expensive cost and lack of knowledge among consumers have hindered the growth of the market. North America holds the majority of the market. North America currently holds vast technological advancements. It has prominent AI in the Internet of Things. Increasing investments in R&D departments is also boosting growth. Asia-Pacific region is expected to witness a high market growth rate during the forecast period because of the rise in the IT industry. Some of the prominent players in the market include IBM, SAP, Hitachi, SAS and Imagimob. Artificial Intelligence in IoT Market Segmentation: By Component • Software Solutions Security Data Management Real-Time Streaming Analytics Network Bandwidth Management Edge Solution Remote Monitoring • Services Professional Services Managed Services • Platforms Device Management Application Management Connectivity Management By Technology • Natural Language Processing • Ml and Deep Learning By Vertical • Manufacturing • Transportation and Mobility • Healthcare and Life Sciences • Energy and Utilities • Government and Defense • Banking, Financial Services, and Insurance • Retail • Others By Region • North America • Europe • Asia Pacific • Latin America • Rest of the World Competitive Landscape: • Tier 1 players- established companies in the market with a major market share • Tier 2 players • Emerging players which are growing rapidly • New Entrants FutureWise Key Takeaways: • Growth prospects • SWOT analysis • Key trends • Key data-points affecting market growth Objectives of the Study: • To provide with an exhaustive analysis on the global AI in IoT market by region, by component, by technology and, by vertical • To cater comprehensive information on factors impacting market growth (drivers, restraints, opportunities, and industry-specific restraints) • To evaluate and forecast micro-markets and the overall market • To predict the market size, in key regions (along with countries)—North America, Europe, Asia Pacific, Latin America, and Rest of the World • To record evaluate and competitive landscape mapping- product launches, technological advancements, mergers and expansions • Profiling of companies to evaluate their market shares, strategies, financials and core competencies
Artificial Intelligence (AI) collects the complex and uncertain data of smart devices. The advancement of the Internet of Things has led us to everything being connected to the internet. Increase in smart devices application has led to frequent collection of big data. AI is effectively instrumental in gathering of big data. It provides the tools and structure to go further automation and real-time decision in cases related to IoT. The market is segmented into Natural Language Processing, MI and Deep Learning. Machine learning performs the task of automatic learning without ordering specific instructions. Machine learning has the ability to work as a strong analytical tool for huge data.
The growing demand of tracking of asset, performance management appliances by transportation and connected is boosting the growth of the market. The growing need for enhanced customer experience through real-time monitoring is fueling the growth of the market. The need to reduce downtime and maintenance cost has boosted the growth of the market. Growing global mobile network operators for increasing connectivity platforms is also driving the growth of the market. The growing interest of IT sectors is also projecting the growth of the market. The emergence of smart home devices like Alexa and Google home alongside growing artificial intelligence is also boosting the market.
However, expensive cost and lack of knowledge among consumers have hindered the growth of the market.
North America holds the majority of the market. North America currently holds vast technological advancements. It has prominent AI in the Internet of Things. Increasing investments in R&D departments is also boosting growth. Asia-Pacific region is expected to witness a high market growth rate during the forecast period because of the rise in the IT industry.
Some of the prominent players in the market include IBM, SAP, Hitachi, SAS and Imagimob.
Artificial Intelligence in IoT Market Segmentation: By Component • Software Solutions
• Services
• Platforms
By Technology • Natural Language Processing • Ml and Deep Learning
By Vertical • Manufacturing • Transportation and Mobility • Healthcare and Life Sciences • Energy and Utilities • Government and Defense • Banking, Financial Services, and Insurance • Retail • Others
By Region • North America • Europe • Asia Pacific • Latin America • Rest of the World
Competitive Landscape: • Tier 1 players- established companies in the market with a major market share • Tier 2 players • Emerging players which are growing rapidly • New Entrants
FutureWise Key Takeaways: • Growth prospects • SWOT analysis • Key trends • Key data-points affecting market growth
Objectives of the Study: • To provide with an exhaustive analysis on the global AI in IoT market by region, by component, by technology and, by vertical • To cater comprehensive information on factors impacting market growth (drivers, restraints, opportunities, and industry-specific restraints) • To evaluate and forecast micro-markets and the overall market • To predict the market size, in key regions (along with countries)—North America, Europe, Asia Pacific, Latin America, and Rest of the World • To record evaluate and competitive landscape mapping- product launches, technological advancements, mergers and expansions • Profiling of companies to evaluate their market shares, strategies, financials and core competencies
1. Introduction 1.1 Objectives of the Study 1.2 Market Definition 1.3 Market Scope 1.4 Years Considered for the Study 1.5 Currency Considered 1.6 Stakeholders 2. Research Methodology 2.1 Research Data 3. Executive Summary 4. Premium Insights 4.1 Attractive Market Opportunities in the AI in IoT Market 4.2 Market Top 3 Verticals 4.3 Market by Region 4.4 Market in North America, By Component and Technology 5. Market Overview and Industry Trends 5.1 Introduction 5.2 Market Dynamics 5.3 Use Cases 5.4 Regulatory Implications 6. AI in IoT Market, By Component 6.1 Introduction 6.2 Platforms 6.3 Software Solutions 6.4 Services 7. AI in IoT Market, By Technology 7.1 Introduction 7.2 Ml and Deep Learning 8. AI in IoT Market, By Vertical 8.1 Introduction 8.2 Manufacturing 8.3 Energy and Utilities 8.4 Transportation and Mobility 8.5 Banking, Financial Services, and Insurance 8.6 Government and Defense 8.7 Retail 8.8 Healthcare and Life Sciences 8.9 Others 9. AI in IoT Market, By Region 9.1 Introduction 9.2 North America 9.3 Europe 9.4 Asia Pacific 10. Competitive Landscape 10.1 Competitive Leadership Mapping 10.2 Strength of Product Portfolio 10.3 Business Strategy Excellence 11. Company Profiles 11.1 Introduction 11.2 IBM 11.3 Microsoft 11.4 Google 11.5 PTC 11.6 AWS 11.7 Oracle 11.8 GE 11.9 Salesforce 11.10 SAP 11.11 Hitachi 11.12 Uptake 11.13 SAS 11.14 Autoplant Systems India Pvt. Ltd. 11.15 Kairos 11.16 Softweb Solutions 11.17 Arundo 11.18 C3 IoT 11.19 Anagog 11.20 Thingstel
1. Introduction
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.4 Years Considered for the Study
1.5 Currency Considered
1.6 Stakeholders
2. Research Methodology
2.1 Research Data
3. Executive Summary
4. Premium Insights
4.1 Attractive Market Opportunities in the AI in IoT Market
4.2 Market Top 3 Verticals
4.3 Market by Region
4.4 Market in North America, By Component and Technology
5. Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.3 Use Cases
5.4 Regulatory Implications
6. AI in IoT Market, By Component
6.1 Introduction
6.2 Platforms
6.3 Software Solutions
6.4 Services
7. AI in IoT Market, By Technology
7.1 Introduction
7.2 Ml and Deep Learning
8. AI in IoT Market, By Vertical
8.1 Introduction
8.2 Manufacturing
8.3 Energy and Utilities
8.4 Transportation and Mobility
8.5 Banking, Financial Services, and Insurance
8.6 Government and Defense
8.7 Retail
8.8 Healthcare and Life Sciences
8.9 Others
9. AI in IoT Market, By Region
9.1 Introduction
9.2 North America
9.3 Europe
9.4 Asia Pacific
10. Competitive Landscape
10.1 Competitive Leadership Mapping
10.2 Strength of Product Portfolio
10.3 Business Strategy Excellence
11. Company Profiles
11.1 Introduction
11.2 IBM
11.3 Microsoft
11.4 Google
11.5 PTC
11.6 AWS
11.7 Oracle
11.8 GE
11.9 Salesforce
11.10 SAP
11.11 Hitachi
11.12 Uptake
11.13 SAS
11.14 Autoplant Systems India Pvt. Ltd.
11.15 Kairos
11.16 Softweb Solutions
11.17 Arundo
11.18 C3 IoT
11.19 Anagog
11.20 Thingstel
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