Portland, OR , July 19, 2023 (GLOBE NEWSWIRE) -- Allied Market Research published a report, titled, “AI in IoT Market Component (Platform, Software and Service), Technology (Machine Learning (ML) and Deep Learning and Natural Processing Language (NLP)) and Industry Vertical (BFSI, IT & Telecom, Retail and E-Commerce, Manufacturing, Healthcare, Energy and Utilities, Transportation and Mobility and Others): Opportunity Analysis and Industry Forecast, 2022-2032”. According to the report, the AI in IoT industry generated $10.3 billion in 2022, and is anticipated to generate $91,7 billion by 2032, witnessing a CAGR of 24.8% from 2023 to 2032.
Prime determinants of growth
An increase in the adoption of IoT devices, growth in demand for automation and efficiency, and surge in investment in Industry 4.0 technologies are the major factors that drive the growth of the global AI in IoT market. However, a lack of skilled experts in AI infrastructure and certain privacy concerns impede the growth of the market. Furthermore, advancements in AI technologies and smart city projects are anticipated to provide lucrative growth opportunities for the market in the upcoming years.
Download Sample Report: https://www.alliedmarketresearch.com/request-sample/12955
Report coverage & details:
| Report Coverage | Details |
| Forecast Period | 2023–2032 |
| Base Year | 2022 |
| Market Size in 2022 | $10.3 Billion |
| Market Size in 2032 | $91.7 Billion |
| CAGR | 24.8% |
| No. of Pages in Report | 284 |
| Segments covered | Component, Technology, Industry Vertical, and Region |
| Drivers | Increase in adoption of IoT devices. Growth in demand for automation and efficiency. Surge in investment in Industry 4.0 technologies. |
| Opportunities | Rise in advancements in AI technologies. Reduction in cost of connected devices. |
| Restraints | Lack of skilled experts in AI infrastructure. Data security and privacy concerns. |
Covid-19 Scenario
- The COVID-19 pandemic has had a significant impact on the AI in IoT industry. While some sectors experienced challenges, others witnessed opportunities for growth and innovation. One of the positive impacts of the pandemic on the AI in IoT market was the increased demand for remote monitoring and automation solutions.
- In addition, the pandemic accelerated digital transformation initiatives across industries, further fueling the adoption of IoT solutions. As businesses looked to adapt to the changing landscape, they increasingly turned to IoT-enabled applications and services to optimize operations, improve supply chain resilience, and enhance customer experiences. This surge in IoT implementation created enhancements opportunities for AI in IoT platform providers, solution developers, and service providers.
Buy Complete Report (284 Pages PDF with Insights, Charts, Tables, and Figures) at:
https://www.alliedmarketresearch.com/ai-in-iot-market/purchase-options
The platform segment to maintain its leadership status throughout the forecast period
Based on component, the platform segment held the highest market share in 2022, accounting for nearly three-fifths of the AI in IoT market revenue, and is estimated to maintain its leadership status throughout the forecast period. The increasing usage of internet devices generates a vast amount of data from connected devices, sensors, and other devices which has propelled the demand for AI in IoT platforms in several sectors. However, the service segment is projected to manifest the fastest CAGR of 29.5% from 2023 to 2032, as AI in IoT service helps to reduce the time and costs associated with optimizing systems in the initial phase of deployment.
The machine learning and deep learning segment to maintain its lead position during the forecast period
Based on technology, the machine learning and deep learning segment accounted for the largest share in 2022, contributing to more than three-fourths of the AI in IoT market revenue. The growing need for advanced data analytics technology in various industries is one of the primary reasons enterprises are increasing their investments in the ML and deep learning solutions. However, the natural language processing segment is expected to portray the largest CAGR of 28.2% from 2023 to 2032 and is projected to maintain its lead position during the forecast period. This is because the adoption of NLP solutions in AI-powered IoT devices provides numerous benefits including scalability, personalization, and enhanced user experience.
The manufacturing segment to maintain its leadership status throughout the forecast period
Based on industry vertical, the manufacturing segment held the highest market share in 2022, accounting for nearly one-fourth of the AI in IoT market revenue and is estimated to maintain its leadership status throughout the forecast period. This is due to the fact that the adoption of AI in IoT tools has become an integral part of the manufacturing sector to sustain in the competitive market. However, the retail and e-commerce segment is projected to manifest the highest CAGR of 32.4% from 2023 to 2032. The growth in penetration of IoT devices in this sector is expected to provide lucrative opportunities for the market.
North America region to maintain its dominance by 2032
Based on region, North America held the highest market share in terms of revenue in 2022, accounting for nearly two-fifths of the AI in IoT market revenue. The increase in the usage of AI in IoT solutions in businesses is anticipated to propel the growth of the market in this region. However, Asia-Pacific is expected to witness the fastest CAGR of 29.2% from 2023 to 2032, and is likely to enhance the market growth during the forecast period, owing to the increase in penetration of digitalization and higher adoption of cloud-based solutions.
Enquiry Before Buying: https://www.alliedmarketresearch.com/purchase-enquiry/12955
Leading Market Players: -
- Amazon Web Services Inc.
- Google LLC
- Hitachi Ltd.
- IBM Corporation
- Oracle Corporation.
- PTC Inc.
- Salesforce, Inc.
- SAP SE
- SAS Institute, Inc.
- Softweb Solutions Inc.
The report provides a detailed analysis of these key players of the AI in IoT market. These players have adopted different strategies such as new product launches, collaborations, expansion, joint ventures, agreements, and others to increase their market share and maintain dominant shares in different countries. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to showcase the competitive scenario.
AVENUE- A Subscription-Based Library (Premium on-demand, subscription-based pricing model):
AMR introduces its online premium subscription-based library Avenue, designed specifically to offer cost-effective, one-stop solution for enterprises, investors, and universities. With Avenue, subscribers can avail an entire repository of reports on more than 2,000 niche industries and more than 12,000 company profiles. Moreover, users can get an online access to quantitative and qualitative data in PDF and Excel formats along with analyst support, customization, and updated versions of reports.
Get an access to the library of reports at any time from any device and anywhere. For more details, follow the link: https://www.alliedmarketresearch.com/library-access
About Us
Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Allied Market Research CEO Pawan Kumar is instrumental in inspiring and encouraging everyone associated with the company to maintain high quality of data and help clients in every way possible to achieve success. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.
