Глобальный рынок больших данных в «умных» городах — тенденции отрасли и прогноз до 2029 года

Анализ и размер рынка больших данных в «умных» городах

Расширение использования аналитики больших данных правительствами для улучшения умных городов и качества жизни людей является движущей силой рынка больших данных в более умных городах. Интернет вещей (IoT) и аналитика больших данных объединяются, чтобы сделать города более умными и разумными. Умные города включают как основные, так и передовые технологии для комфортной и высококачественной жизни. Большие данные облегчают разработку умных городов, предоставляя полезные сведения из огромных объемов данных, собранных от различных поставщиков данных. В результате рынок больших данных в более умных городах будет и дальше развиваться в течение прогнозируемого периода.

Глобальный рынок больших данных в более умных городах оценивался в 211,36 млн долларов США в 2021 году и, как ожидается, достигнет 1777,90 млн долларов США к 2029 году, регистрируя среднегодовой темп роста в 30,50% в прогнозируемый период 2022-2029 годов. В дополнение к рыночным данным, таким как рыночная стоимость, темпы роста, сегменты рынка, географический охват, участники рынка и рыночный сценарий, рыночный отчет, подготовленный командой Data Bridge Market Research, включает в себя углубленный экспертный анализ, анализ импорта/экспорта, анализ цен, анализ производства и потребления и анализ пестиков.

Рынок больших данных в «умных» городах: масштаб и сегментация

Market Definition

Smart cities have adopted smart governance, smart energy, smart buildings, smart mobility, smart infrastructure, smart technology, smart healthcare, and smart citizen solutions and technologies. Big Data makes it easier to develop smart cities by providing useful insights from vast amounts of data gathered from diverse data producers.

Big Data Market in Smarter Cities Dynamics

This section deals with understanding the market drivers, advantages, opportunities, restraints and challenges. All of this is discussed in detail as below:

Drivers

• Accelerating Urbanization across the Globe

The smart cities have largely changed the human existence. Living in a smart environment is now feasible because to the transition from conventional computer to advanced computing with an increase in linking gadgets and sensors. Urbanization depends on social and communication infrastructure in addition to physical infrastructure. The big data and internet of things (IoT) have contributed significantly to the success of the smart city programme by providing a significant amount of data gathered from diverse sources. Unstructured data gathered through various methods makes up the majority of such data. Through highly networked services, IoT enables the integration of sensors, actuators, radio frequency, and Bluetooth in a real environment. Big data is becoming more important in creating smart cities due to the increased emphasis on efficiency brought on by rising urbanization.

• Favourable Initiatives Carried Out By The Government

The governments around the world have played a significant role in the smart cities business through rules and programmes aimed at deploying smart services as a significant component of their infrastructure. For instance, the General Services Administration's (GSA) Smart Building initiative, launched in May 2012, sought to lower costs and promote smart services through upgraded federal government buildings, largely through connected technologies. As a result of its emphasis on energy and climate goals, the market for smart cities in Europe is anticipated to expand significantly. To advance toward a low carbon future in this region, the government is concentrating on energy distribution using effective models and policies. Additionally, governments of developing nations like China, South Korea, Dubai, India, Singapore, and Japan aim for the economic growth of their nations. Therefore, the market is largely accelerating owing to the government's various favorable initiatives.

Furthermore, the growing adoption of big data analytics by governments to enhance smart cities will accelerate the overall market expansion during the forecast period. Additionally, the improvement in people's living standards is anticipated to drive the growth rate of the big data market in smarter cities. The rising disposable income of the population will further positively impact the market's growth rate during the forecast period.

Opportunities

• Adoption Of Various Advanced Technologies

The increased adoption of various advanced technologies is further estimated to generate lucrative opportunities for the market, which will further expand the big data market in smarter cities’ growth rate in the future. Advanced technologies such as the artificial intelligence, machine learning, big data, and block chain are being used to build smart cities. The use of these technologies in smart cities worldwide is rising due to their expanding use across numerous industries.

• Increased Investments

Additionally, the growing investment in environmentally friendly and sustainable technologies further offer numerous growth opportunities to the big data market in smarter cities. For instance, Saudi Arabia announced a $500 billion investment in the construction and development of the new city of Neom.

Restraints/Challenges

• High Implementation Costs

The cost is one of the factors that affects how quickly a market expands, and high implementation costs might slow that expansion. Smart technology implementation demands a significant financial investment. Infrastructure is needed to adopt cutting-edge technology such as smart parking systems, smart homes, virtual power plants, smart workplaces, and smart industries. These technologies can be quite expensive to build an infrastructure. Therefore, the high costs as well as the investments required are further expected to obstruct market growth over the forecast period.

• Data Privacy Concerns

Big Data's most pressing issue is the delicate one of data privacy and security, which most corporations are dealing with. As businesses feed more and more customer and vendor data into cutting-edge, AI-powered algorithms to create new sensitive information, unaware of the affected customers and employees, privacy concerns are emerging. This is particularly true in the field of smart cities, where there is a large amount of consumer data and where issues related to big data have been primarily centered on collecting consumer data. As a result, these data privacy issues will further create various challenges for the big data market in smarter cities.

This big data market in smarter cities report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the big data market in smarter cities contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

COVID-19 Impact on Big Data Market in Smarter Cities

The big data market in smarter cities was immensely impacted by the outbreak of COVID-19 as the governments and local authorities have enacted strict lockdowns, movement restrictions, and the closure of neighborhood brick and mortar stores. The lockout had an impact on financial flow for the businesses, which had an impact on investments in smart cities. The whole world's attention was directed toward containing the rising virus, resulting in the big data market in smarter cities suffering. Also, the shortage of workers has impacted the ability of the government and other stakeholders to fulfil the requirements of intelligent city planning and initiatives. Additionally, the pandemic seriously affected the global manufacturing and healthcare industries.

However, several organizations have tried integrating cutting-edge technology like AI and IoT in order to address the issues caused by the pandemic. Digital city adoption is expected to be aided by the use of e-health and e-government services, as well as by emerging trends like remote employment, online education, and use of technology in common people's daily lives. With the start of vaccination campaigns and the restart of markets and trading near the end of the year, the market appeared to be recovering; however, the terrible second wave of the pandemic put an end to this. It may take some time before the global smart city market recovers to its pre-pandemic levels because of the ongoing semiconductor shortage, the energy crisis, and the Omicron-variant coronavirus appearance.

Recent Developments

• In May 2020, Cisco developed new products to enhance big data and analytics performance and boost the effectiveness of IT operations.
•  In January 2020, to enable real estate and facility management professionals to more effectively utilise office space and provide a more enjoyable workplace environment, IBM added AI capabilities to its TRIRIGA system. With the help of this improvement, customers managing sizable real estate portfolios will be able to make better, data-driven decisions about how to manage their workspace.

Global Big Data Market in Smarter Cities Scope

The big data market in smarter cities is segmented on the basis of data generators, technology, deployment, application, programming model and analytical tool. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Data Generators

• Sensors
• Actuators
• Digital Signage
• Cameras
• Others

 Technology

• Network Technology
• Storage

 Deployment

• On Cloud
• On Premise
• Hybrid

Programming Model

• Parallel Algorithm
• Distributed Algorithm

 Analytical Tool

• Hadoop
• NoSQL

 Application

• Smart Governance
• Smart Energy
• Smart Building
• Smart Mobility
• Smart Infrastructure
• Others

Big Data Market in Smarter Cities Regional Analysis/Insights

The big data market in smarter cities is analyzed and market size insights and trends are provided by country, data generators, technology, deployment, application, programming model and analytical tool as referenced above.

The countries covered in the big data market in smarter cities report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

Северная Америка доминирует на рынке больших данных в более умных городах из-за растущего внедрения аналитики больших данных в сочетании с наличием хорошо налаженной инфраструктуры в регионе в течение прогнозируемого периода с 2022 по 2029 год. Более того, многие города в значительной степени становятся более умными, что, как ожидается, еще больше ускорит расширение в течение прогнозируемого периода.

Ожидается, что Азиатско-Тихоокеанский регион станет свидетелем значительного роста в прогнозируемый период с 2022 по 2029 год из-за увеличения населения в городах региона. Более того, растущее число умных городов в развивающихся экономиках, таких как Индия, Китай и Корея, вносит значительный вклад в расширение регионального рынка.

Раздел отчета по странам также содержит отдельные факторы, влияющие на рынок, и изменения в регулировании на внутреннем рынке, которые влияют на текущие и будущие тенденции рынка. Такие данные, как анализ цепочки создания стоимости вверх и вниз по течению, технические тенденции и анализ пяти сил Портера, тематические исследования — вот некоторые из указателей, используемых для прогнозирования рыночного сценария для отдельных стран. Кроме того, при предоставлении прогнозного анализа данных по странам учитываются наличие и доступность глобальных брендов и их проблемы, связанные с большой или малой конкуренцией со стороны местных и отечественных брендов, влияние внутренних тарифов и торговых путей.   

Анализ конкурентной среды и рынка больших данных в «умных» городах

Рынок больших данных в конкурентной среде умных городов предоставляет подробную информацию по конкурентам. Включены следующие сведения: обзор компании, финансовые показатели компании, полученный доход, рыночный потенциал, инвестиции в исследования и разработки, новые рыночные инициативы, глобальное присутствие, производственные площадки и объекты, производственные мощности, сильные и слабые стороны компании, запуск продукта, широта и широта продукта, доминирование приложений. Приведенные выше данные относятся только к фокусу компаний, связанному с рынком больших данных в умных городах.

Некоторые из основных игроков, работающих на рынке больших данных в «умных» городах, это

• Cisco Systems, Inc. (США)
• IBM (США)
• Сименс (Германия)
• Майкрософт (США)
• Hitachi Ltd. (Япония)
• Schneider Electric (Франция)
• Huawei Technologies Co., Ltd (Китай)
• Корпорация Intel (США)
• Корпорация NEC (Япония)
• АББ (Швейцария)
• Telefonaktiebolaget LM Ericsson (Швеция)
• Itron Inc., (США)
• Оракул (США)
• Fujitsu (Япония)
• Honeywell International Inc., (США)
• Accenture (Ирландия)
• SAP SE (Германия)
• Сенсонео (Финляндия)
• Big Belly Solar, LLC (США)

SKU-54293