Overview of AI in the Global IoT Market to 2026


DUBLIN, November 18, 2021 / PRNewswire / – The report “AI in IoT Market Research Report by Component, Technology, Vertical, and Region – Global Forecast to 2026 – Cumulative Impact of COVID-19” has been added to ResearchAndMarkets.com offer.

The size of the global AI in IoT market has been estimated to be $ 5,720.59 million in 2020, is expected to reach $ 6,683.20 million in 2021, and is expected to grow at a CAGR of 17.16% reaching $ 14,799.23 million by 2026.

Market statistics

The report provides market size and forecast in five major currencies: USD, EUR GBP, JPY, and AUD. It helps organizational leaders make better decisions when currency data is readily available. In this report, the years 2018 and 2019 are considered as historical years, 2020 as the base year, 2021 as the estimated year and the years 2022 to 2026 are considered as the forecast period.

Competitive strategic window

The Competitive Strategy Window analyzes 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 suppliers to adopt successive strategies of merger and acquisition, geographic expansion, research and development, and new product introduction strategies to continue the expansion and growth of the business during a forecast period.

FPNV positioning matrix

FPNV Positioning Matrix assesses and categorizes AI in IoT market vendors based on business strategy (company growth, industry coverage, financial viability, and channel support) and product satisfaction (value for money, ease of use, product features and customer). Support) that helps businesses make better decisions and better understand the competitive landscape.

Market share analysis

The market share analysis offers the analysis of the suppliers considering their contribution to the overall market. It provides the idea of ​​its revenue generation in the overall market compared to other space providers. It provides insight into the performance of vendors in terms of revenue generation and customer base compared to others. Knowing the market share gives an idea of ​​the size and competitiveness of the suppliers for the base year. It reveals the characteristics of the market in terms of traits of accumulation, fragmentation, dominance and fusion.

Competitive scenario

The competitive scenario provides a outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section delivers valuable insights at different stages while staying up to date with the business and engaging stakeholders in the economic debate. The competitive scenario represents press releases or news from companies categorized as M&A, Agreement, Collaboration and Partnership, New Product Launch and Improvement, Investment and Funding, and Reward, Recognition and Expansion. All the news gathered helps the supplier understand the market gaps and the strengths and weaknesses of the competitors, thus providing information to improve products and services.

Company usability profiles

The report deeply explores the recent significant developments of 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., Salesforce.com, Inc., SAP SE and SAS.

The report provides information on the following pointers:
1. Market penetration: provides comprehensive information on the market offered by the major players
2. Market Development: Provides detailed information on lucrative emerging markets and analyzes penetration into mature market segments.
3. Market diversification: provides detailed information on new product launches, untapped geographies, recent developments and investments
4. Competitive Assessment and Intelligence: Provides a comprehensive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape and manufacturing capabilities of key players
5. Product Development and Innovation: Provides intelligent information on future technologies, R&D activities and breakthrough product developments

The report answers questions such as:
1. What is the market size and forecast for the global AI in IoT market?
2. What are the inhibitory factors and impact of COVID-19 shaping the global AI in IoT market during the forecast period?
3. What are the products / segments / applications / areas to invest in during 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 technological trends and regulatory frameworks in the global AI in IoT market?
6. What is the market share of the major vendors in the global AI in IoT market?
7. What strategic fashions and movements are considered appropriate to enter the global AI in IoT market?

Main 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. Conductors
5.2.1. Need to manage huge volumes of data without any operational complexity
5.2.2. Growing demand for process automation in various industries
5.2.3. Growing need in manufacturing attributed to growing adoption of sensors and integrated devices
5.3. Constraints
5.3.1. Lack of knowledge to extend the application among consumers
5.4. Opportunities
5.4.1. Government and private sector funding to encourage research and development of AI in IoT
5.4.2. Growing need for real-time processing and decision-making to improve the customer experience
5.5. Challenges
5.5.1. High capital intensity

6. AI in the 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. Assistance and 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 analysis
6.4.5. Remote monitoring
6.4.6. Security

7. AI in the IoT market, by technology
7.1. introduction
7.2. ML and deep learning
7.3. Natural language processing

8. AI in the IoT market, by vertical
8.1. introduction
8.2. Banking, financial services and insurance
8.2.1. Fraud and risk management
8.2.2. Investment forecast
8.2.3. Security of payment transactions
8.3. Energy and utilities
8.3.1. Energy consumption analysis
8.3.2. Smart grid management
8.4. Government & Defense
8.4.1. Autonomous defense system
8.4.2. Smart cities
8.5. Health and 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. Upselling and cross-channel marketing
8.8. Transport and mobility
8.8.1. Asset tracking and performance management
8.8.2. Connected vehicles
8.8.3. Fleet management

9. AI in the Americas in the 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 the 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 the 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. UK

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 and partnership
12.4.3. New product launch and improvement
12.4.4. Investment and financing
12.4.5. Awards, recognition and 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 Company
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. Annex

For more information on this report, visit https://www.researchandmarkets.com/r/l11f2n

Media contact:

Research and markets
Laura Wood, senior
[email protected]

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