Fog Computing Market

Fog Computing Market Outlook (2023 to 2033)

Newly-released fog computing market analysis report by Fact.MR reveals that global sales of fog computing in 2022 were held at US$ 126.7 million With 27% projected growth from 2023 to 2033, the market is expected to reach a valuation of US$ 2.2 Billion by the end of the forecast period.

The smart manufacturing sector is expected to be the significant revenue-generating segment, projected to grow at a CAGR of over 27% from 2023 to 2033.

Attributes	Details
Global Market Size of the Fog Computing Market (2023)	US$ 196.6 Million
Global Market Size of Fog Computing Market (2033)	US$ 2.2 Billion
Global Market Size of Fog Computing Market CAGR (2023 to 2033)	27%
U.S. Market Size of Fog Computing Market CAGR (2023 to 2033)	25.7%
Key Companies Covered	Cisco Systems Inc. Microsoft Corporation ARM Holdings PLC Schneider Electric Software LLC Toshiba Corporation Prismtech Corporation Dell Inc. TTTech Industrial Automation AG Intel Corporation GE Digital Fujitsu Ltd

Revenue of the Fog Computing Market from 2018 to 2022 Compared to Demand Outlook for 2023 to 2033

As per fog computing market research by Fact.MR - a market research and competitive intelligence provider, historically, from 2018 to 2022, the market value increased at around 55.3% CAGR. With an absolute dollar opportunity of US$ 2 Billion, the market is projected to reach a valuation of US$ 2.2 Billion by 2033.

The smart manufacturing sector has been at the forefront of incorporating fog computing technology in recent years. The Internet of Things (IoT) is being used more often as a result of the agility and flexibility of big data solutions, which has increased the amount of digital data creation.

This is one of the key reasons businesses and huge organizations around the world are adopting fog computing solutions to meet the demand for speedy access to vast volumes of data. These technologies also improve corporate agility by streamlining the creation of goods and services that generate income. Additionally, they offer a standard foundation for effective teamwork and communication.

As a result, the benefits of fog computing solutions are becoming more widely known, which is boosting their sales relative to cloud computing. Alongside this, the requirement to connect numerous devices to a network and detect dangers like malware is increasing their use.

This is because data security issues related to an increase in cyber threats are developing. Additionally, for car-to-car networking, the use of fog computing displays is favorably influenced by the trend toward connected vehicles. Alongside this, governments in several nations are making investments in the creation of smart cities, which is further expected to boost the market in the forthcoming years.

Which Factors are responsible for the increase in Demand for Fog Computing?

The key factors that are increasing the demand for fog computing are the increasing use of IoT, privacy and security, and bandwidth constraints. Massive volumes of data need to be handled in real-time due to the proliferation of connected devices like wearables, cameras, and sensors.

This data can be processed more quickly and effectively by using fog computing which brings processing near the data source. Extremely low latency is needed in some applications, such as industrial automation, and self-driving cars, for making decisions in real-time. Fog computing offers a platform for computing that is closer to the data source, lowering latency and enhancing reaction time.

By utilizing local resources, such as edge devices, as opposed to centralized cloud resources, fog computing can assist to lower the cost of data processing. This can lower the cost of sending and storing data in the cloud, which can be especially advantageous for applications that create significant amounts of data.

Some applications produce enormous amounts of data that, due to constrained network capacity, cannot be sent to the cloud. Through data processing at the network's edge, fog computing can minimize the quantity of data sent to the cloud.

To support real-time processing applications like augmented reality, industrial automation, and driverless cars, 5G networks must have more bandwidth and reduced latency. By offering localized processing and minimizing the amount of data that must be transferred over the network, fog computing can aid in the efficient usage of 5G networks.

Which Factors are Restraining the Market Growth?

The factors restraining the market include security concerns and interoperability issues. Data security is one of the key issues with fog computing. Data breaches and cyberattacks are more likely since fog computing entails processing and storing data closer to the edge of the network. Businesses have been hesitant to use fog computing which restrains market growth.

Maintaining compatibility across various fog computing systems is difficult given the wide variety of devices and platforms in use. Since it necessitates a considerable investment in infrastructure, this may make it challenging for enterprises to embrace fog computing on a big scale.

Since there are currently no generally established standards for fog computing, it is quite challenging for enterprises to compare various options and guarantee system compatibility which restrains the market growth.

Fog computing is still a relatively new idea, and many firms are not yet familiar with its possibilities, despite its potential advantages. Fog computing service providers may find it challenging to sell their products and achieve momentum in the marketplace as a result of this.

Although fog computing has the potential to lower data processing costs, the initial infrastructure investment is quite substantial. For smaller companies that do not have the means to invest in fog computing, this is a significant hurdle that leads to restraining the market growth. As a result, the high initial costs, data security, lack of standards, and limited awareness all significantly hinder market expansion.

Which Region is Projected to Offer the Significant Market Opportunity?

North America is considered to have a significant market throughout the projection period. The growing need for fog computing in the smart manufacturing sector has led to market expansion in North America. The market in North America is forecasted to grow at a CAGR of 41.9%. GE Digital is one of the leading companies offering fog computing in North America.

Country-wise Analysis

United States Fog Computing Market Analysis

The market in the U.S. is expected to grow to be worth US$ 702.7 million with an absolute dollar growth of US$ 631.2 million. The market in the country is expected to grow at a CAGR of 25.7% from 2023 to 2033.

In February 2023, the Total Cost of Ownership (TCO) of GE Digital, a US-based company, Cloud Manufacturing Execution Systems (MES) is reduced by up to 30%, while maintenance is decreased, and security is improved. Cloud-based MES software that has recently been improved offers manufacturers of any size composable, economical OEE, production, and quality management.

Initiations for digital transformation and continuous improvement, are supported by MES as a Service, which speeds up real-time operational optimization. A complete cloud MES may help manufacturers of discrete, mixed-environment, and process equipment lower costs and maintain their equipment while boosting security.

United Kingdom Fog Computing Market Analysis

The market in the U.K. is expected to grow to be worth US$ 108.2 million with an absolute dollar growth of US$ 97.5 million. The market in the country is expected to grow at a CAGR of 26% from 2023 to 2033.

The growing use of IoT hardware and software across a range of sectors, including healthcare, manufacturing, transportation, and retail, is one of the key factors driving the UK's fog computing industry. Fog computing can offer a more effective method of handling the enormous volumes of data that these devices produce and that must be handled and analyzed in real-time.

The growing need for edge computing solutions is another element promoting the expansion of the fog computing industry in the UK. Edge computing is a technique that works in conjunction with fog computing and entails processing and analyzing data at the network's edge, near to where it is created. By doing so, latency may be further reduced and the functionality of IoT devices and apps improved.

China Fog Computing Market Analysis

The market in China is expected to grow to be worth US$ 169.1 million with an absolute dollar growth of US$ 155 million. The market in China has grown at a CAGR of 57.4% from 2018 to 2022 and is expected to grow at a CAGR of 28.2% from 2023 to 2033.

One of the key industries influencing China's adoption of fog computing is the industrial sector. With the government's "Made in China 2025" strategy emphasizing the growth of high-tech businesses, the nation's manufacturing sector has been undergoing a significant shift. Applications for fog computing in smart manufacturing are being utilized to boost production, save costs, and enhance efficiency.

Another significant area where fog computing is being used in China is the transportation and logistics industry. A large quantity of data is produced by the extensive transportation network of the nation, and this data must be processed and analyzed instantly. Transportation route optimization, better logistical coordination, and improved customer experience are all made possible by the deployment of fog computing technologies.

Japan Fog Computing Market Analysis

The market in Japan is expected to grow to be worth US$ 142.9 million with an absolute dollar growth of US$ 129.1 million. The market in Japan has grown at a CAGR of 54.2% from 2018 to 2022 and is expected to grow at a CAGR of 26.4% from 2023 to 2033.

Fog computing solutions are available in Japan from a few businesses, including Toshiba, Hitachi, and NEC Corporation. In collaboration with other businesses, Toshiba has introduced a fog computing platform named "Fujisawa Sustainable Smart Town," a smart city initiative that makes use of IoT sensors and fog computing to increase energy efficiency and lower carbon emissions. In addition, Hitachi is developing the "Lumada" fog computing platform, which integrates IoT, big data analytics, and AI to deliver real-time insights for multiple sectors.

Category-wise Insights

Which type of Fog Computing is projected to Witness Significant Growth?

Fog Computing Software is projected to witness significant growth in demand with a CAGR of around 55% from 2018 to 2022 and is forecasted to grow to around 22.9% at the end of 2033.

Why Smart Manufacturing Industry is expected to be the Most Lucrative Market for Fog Computing?

Fog computing finds its largest application in Smart Manufacturing. The expansion of smart manufacturing can be connected to the increasing need for customized equipment. The revenue growth through smart manufacturing was held at around 26.8% from 2018 to 2022.

Additionally, the market development is anticipated to present profitable prospects due to technical improvements, the rise in demand for Industry 4.0 standards, and the emergence of Industry 5.0.

Competitive Analysis

Some of the key players operating in the fog computing market include Cisco Systems Inc., Microsoft Corporation, ARM Holdings PLC, Schneider Electric Software LLC, Toshiba Corporation, Prismtech Corporation, Dell Inc., TTTech Industrial Automation AG, Intel Corporation, GE Digital, and Fujitsu Ltd.

A few of the recent developments in the market are :

• In April 2022, Next-Generation Alibaba Cloud was delivered by Alibaba Cloud and VMware to accelerate innovation. Enterprises in China now can more quickly migrate and update applications and shift workloads at scale between on-premises VMware infrastructures and Alibaba Cloud with the help of the Alibaba Cloud VMware Service.

To enhance speed, availability, security, and workload density, the service runs natively on the cutting-edge infrastructure of Alibaba Cloud and harnesses the full power of the VMware Cloud stack. Customers have access to a reliable VMware Cloud platform that supports seamless vMotion workload transfer to Alibaba Cloud VMware Service.

Fog Computing Market Segmentation

• By Type :

  • Hardware
  • Software

• By Application :

  • Building and Home Automation
  • Smart Energy
  • Connected Health
  • Smart Manufacturing
  • Connected Vehicles
  • Security and Emergency System
  • Transportation and Logistics

• By Region :

  • North America
  • Latin America
  • Europe
  • Asia Pacific
  • Middle East and Africa