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Insights on the AI in IoT Global Market to 2026 - Featuring Amazon Web Services, General Electric and Google Among OthersDUBLIN, Nov. 18, 2021 /PRNewswire/ -- The "AI in IoT Market Research Report by Component, Technology, Vertical, and Region - Global Forecast to 2026 - Cumulative Impact of COVID-19" report has been added to ResearchAndMarkets.com's offering.  The Global AI in IoT Market size was estimated at USD 5,720.59 million in 2020, is expected to reach USD 6,683.20 million in 2021, and projected to grow at a CAGR of 17.16% reaching USD 14,799.23 million by 2026. The report provides market sizing and forecast across five major currencies - USD, EUR GBP, JPY, and AUD. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2019 are considered historical years, 2020 as the base year, 2021 as the estimated year, and years from 2022 to 2026 are considered the forecast period. 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. 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. 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. 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. The report profoundly explores the recent significant developments by the leading vendrs 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., Salesforce.com, 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? Key Topics Covered: 1. Preface 2. Research Methodology 3. Executive Summary 4. Market Overview 4.1. Introduction 4.2. Cumulative Impact of COVID-19 5. Market Dynamics 5.1. Introduction 5.2. Drivers 5.2.1. Need to manage huge volumes of data without any complexity in operation 5.2.2. Growing demand for process automation in diverse sectors 5.2.3. Rising need form manufacturing sector attributed to increasing adoption of sensors and integrated devices 5.3. Restraints 5.3.1. Dearth of knowledge to expand the application among consumers 5.4. Opportunities 5.4.1. Government and private sector funding to encourage AI research and development in IoT 5.4.2. Increasing need for real-time processing and decision-making to improve consumer experience 5.5. Challenges 5.5.1. Highly capital intensive 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. Salesforce.com, Inc. 13.10. SAP SE 13.11. SAS 14. Appendix For more information about this report visit https://www.researchandmarkets.com/r/l11f2n Media Contact: Research and Markets
SOURCE Research and Markets 
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