AI in IoT Market Research Report by Component (Platform, Services, and Software), Technology, Vertical, Region (Americas, Asia-Pacific, and Europe, Middle East & Africa) - Global Forecast to 2027 - Cumulative Impact of COVID-19

AI in IoT Market Research Report by Component (Platform, Services, and Software), Technology, Vertical, Region (Americas, Asia-Pacific, and Europe, Middle East & Africa) - Global Forecast to 2027 - Cumulative Impact of COVID-19

The Global AI in IoT Market size was estimated at USD 6,683.20 million in 2021 and expected to reach USD 7,824.49 million in 2022, and is projected to grow at a CAGR 17.25% to reach USD 17,368.13 million by 2027.

Market Statistics:

The report provides market sizing and forecast across five major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2019 and 2020 are considered historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered the forecast period.

Market Segmentation & Coverage:

This research report categorizes the AI in IoT to forecast the revenues and analyze the trends in each of the following sub-markets:

Based on Component, the market was studied across Platform, Services, and Software. The Platform is further studied across Application Management, Connectivity Management, and Device Management. The Services is further studied across Deployment & Integration, Managed Services, Support & Maintenance, and Training & Consulting. The Software is further studied across Data Management, Edge Solution, Network Bandwidth Management, Real-Time Streaming Analytics, Remote Monitoring, and Security.

Based on Technology, the market was studied across Ml & Deep Learning and Natural Language Processing.

Based on Vertical, the market was studied across Banking, Financial Services, and Insurance, Energy & Utilities, Government & Defense, Healthcare & Life Sciences, Manufacturing, Retail, and Transportation & Mobility. The Banking, Financial Services, and Insurance is further studied across Fraud & Risk Management, Investment Prediction, and Payment Transaction Security. The Energy & Utilities is further studied across Power Usage Analytics and Smart Grid Management. The Government & Defense is further studied across Autonomous Defense System and Smart Cities. The Healthcare & Life Sciences is further studied across Personalized Treatment and Remote Patient Monitoring. The Manufacturing is further studied across Predictive Maintenance, Process Optimization, and Supply Chain Management. The Retail is further studied across Inventory Planning, Smart Stores, and Upsell & Cross-Channel Marketing. The Transportation & Mobility is further studied across Asset Tracking & Performance Management, Connected Vehicles, and Fleet Management.

Based on Region, the market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, and Thailand. The Europe, Middle East & Africa is further studied across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Cumulative Impact of COVID-19:

COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.

Cumulative Impact of 2022 Russia Ukraine Conflict:

We continuously monitor and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Negative impacts are significantly foreseen globally, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and uncertainty in Eastern Europe are expected to have an adverse impact on the world economy, with especially long-term harsh effects on Russia.

This report uncovers the impact of demand & supply, pricing variants, strategic uptake of vendors, and recommendations for AI in IoT market considering the current update on the conflict and its global response.

Competitive Strategic Window:

The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix evaluates and categorizes the vendors in the AI in IoT Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Market Share Analysis:

The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

Competitive Scenario:

The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitor’s strength and weakness thereby, providing insights to enhance product and service.

Company Usability Profiles:

The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global AI in IoT Market, including Amazon Web Services, Autoplant Systems India Pvt. Ltd., General Electric, Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation, PTC Inc.,, Inc., SAP SE, and SAS.

The report provides insights on the following pointers:

1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:

1. What is the market size and forecast of the Global AI in IoT Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global AI in IoT Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global AI in IoT Market?
4. What is the competitive strategic window for opportunities in the Global AI in IoT Market?
5. What are the technology trends and regulatory frameworks in the Global AI in IoT Market?
6. What is the market share of the leading vendors in the Global AI in IoT Market?
7. What modes and strategic moves are considered suitable for entering the Global AI in IoT Market?

Please Note: PDF & Excel + Online Access - 1 Year

Companies Mentioned

Amazon Web Services
Autoplant Systems India Pvt. Ltd.
General Electric
Google LLC
IBM Corporation
Microsoft Corporation
Oracle Corporation
PTC Inc., Inc.

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers Need to manage huge volumes of data without any complexity in operation Growing demand for process automation in diverse sectors Rising need form manufacturing sector attributed to increasing adoption of sensors and integrated devices
5.1.2. Restraints Dearth of knowledge to expand the application among consumers
5.1.3. Opportunities Government and private sector funding to encourage AI research and development in IoT Increasing need for real-time processing and decision-making to improve consumer experience
5.1.4. Challenges Highly capital intensive
5.2. Cumulative Impact of COVID-19
5.3. Cumulative Impact of 2022 Russia Ukraine Conflict
6. AI in IoT Market, by Component
6.1. Introduction
6.2. Platform
6.2.1. Application Management
6.2.2. Connectivity Management
6.2.3. Device Management
6.3. Services
6.3.1. Deployment & Integration
6.3.2. Managed Services
6.3.3. Support & Maintenance
6.3.4. Training & Consulting
6.4. Software
6.4.1. Data Management
6.4.2. Edge Solution
6.4.3. Network Bandwidth Management
6.4.4. Real-Time Streaming Analytics
6.4.5. Remote Monitoring
6.4.6. Security
7. AI in IoT Market, by Technology
7.1. Introduction
7.2. Ml & Deep Learning
7.3. Natural Language Processing
8. AI in IoT Market, by Vertical
8.1. Introduction
8.2. Banking, Financial Services, and Insurance
8.2.1. Fraud & Risk Management
8.2.2. Investment Prediction
8.2.3. Payment Transaction Security
8.3. Energy & Utilities
8.3.1. Power Usage Analytics
8.3.2. Smart Grid Management
8.4. Government & Defense
8.4.1. Autonomous Defense System
8.4.2. Smart Cities
8.5. Healthcare & Life Sciences
8.5.1. Personalized Treatment
8.5.2. Remote Patient Monitoring
8.6. Manufacturing
8.6.1. Predictive Maintenance
8.6.2. Process Optimization
8.6.3. Supply Chain Management
8.7. Retail
8.7.1. Inventory Planning
8.7.2. Smart Stores
8.7.3. Upsell & Cross-Channel Marketing
8.8. Transportation & Mobility
8.8.1. Asset Tracking & Performance Management
8.8.2. Connected Vehicles
8.8.3. Fleet Management
9. Americas AI in IoT Market
9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States
10. Asia-Pacific AI in IoT Market
10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
11. Europe, Middle East & Africa AI in IoT Market
11.1. Introduction
11.2. France
11.3. Germany
11.4. Italy
11.5. Netherlands
11.6. Qatar
11.7. Russia
11.8. Saudi Arabia
11.9. South Africa
11.10. Spain
11.11. United Arab Emirates
11.12. United Kingdom
12. Competitive Landscape
12.1. FPNV Positioning Matrix
12.1.1. Quadrants
12.1.2. Business Strategy
12.1.3. Product Satisfaction
12.2. Market Ranking Analysis
12.3. Market Share Analysis, By Key Player
12.4. Competitive Scenario
12.4.1. Merger & Acquisition
12.4.2. Agreement, Collaboration, & Partnership
12.4.3. New Product Launch & Enhancement
12.4.4. Investment & Funding
12.4.5. Award, Recognition, & Expansion
13. Company Usability Profiles
13.1. Amazon Web Services
13.2. Autoplant Systems India Pvt. Ltd.
13.3. General Electric
13.4. Google LLC
13.5. IBM Corporation
13.6. Microsoft Corporation
13.7. Oracle Corporation
13.8. PTC Inc.
13.9., Inc.
13.10. SAP SE
13.11. SAS
14. Appendix
14.1. Discussion Guide
14.2. License & Pricing

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