세계의 스마트 그리드 애널리틱스 시장 평가 : 전개 유형별, 서비스별, 용도별, 지역별, 기회, 예측(2017-2031년)
Smart Grid Analytics Market Assessment, By Deployment Type, By Service, By Application, By Region, Opportunities, and Forecast, 2017-2031F
상품코드 : 1556012
리서치사 : Markets & Data
발행일 : 2024년 09월
페이지 정보 : 영문 223 Pages
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한글목차

세계 스마트 그리드 애널리틱스 시장 규모는 전력부문의 급속한 디지털화로 예측 기간 동안 복합 연간 성장률(CAGR) 12.50%를 나타낼 전망이며, 2023년 64억 달러에서 2031년에는 164억 2, 000만 달러로 성장할 것으로 예상됩니다.

스마트 그리드 애널리틱스 시장에는 스마트 송전망의 성능과 관리를 최적화하기 위한 고급 데이터 분석 도구와 기술이 포함됩니다. 송전망은 발전소에서 최종 사용자에게 전력을 발전, 송전, 배전하기 위해 만들어진 복잡한 네트워크입니다. 도시 지역에서는 인프라를 강화하고 삶의 질을 향상시키기 위해 설계된 기술의 도입이 진행되고 있기 때문에 스마트 시티의 개념은 스마트 그리드 애널리틱스 시장의 성장에 중요한 촉매가 되고 있습니다. 스마트시티는 사물인터넷(IoT) 센서, 스마트 미터, 실시간 데이터 분석을 활용하여 보다 효율적이고 응답성이 높은 에너지 관리 시스템을 구축하고 있습니다. 이 도시들은 다양한 에너지원을 통합하고 역동적인 에너지 소비 패턴을 효과적으로 관리해야 하므로 고급 스마트 그리드 분석이 필요합니다. 실시간 모니터링, 예측 유지보수 및 최적화를 제공함으로써 스마트 그리드 애널리틱스는 송전망의 신뢰성을 확보하고, 피크 부하를 관리하며, 에너지 효율을 높일 수 있습니다. 스마트 그리드 솔루션이 현대 도시 환경의 복잡한 요구를 지원하기 때문에 이러한 도시의 지속가능성과 탄력성 목표와의 일치는 스마트 그리드 애널리틱스 시장의 새로운 혁신과 보급을 촉진합니다.

스마트 그리드 애널리틱스 시장은 데이터 수집과 함께 그리드 기능을 향상시키는 여러 기술의 발전으로 큰 진화가 예상됩니다. 저비용 축전지 기술의 급증은 스마트 그리드 애널리틱스 시장 수요를 촉진하는 주요 요인입니다. 예를 들어 IEA에 따르면 2022년 말까지 그리드 규모의 축전지의 총 설비 용량은 약 28GW에 달하여 2021년부터 75% 이상의 현저한 증가를 보이고 있습니다. 이 추세는 앞으로도 계속될 것으로 예상되며, 넷 제로 시나리오 하에서 2030년까지 용량은 35배인 970GW 가까이까지 성장할 것으로 예측되고 있습니다.

이 보고서는 세계의 스마트 그리드 애널리틱스 시장에 대해 조사했으며, 시장 개요와 함께 배포 유형별, 서비스별, 용도별, 지역별 동향, 시장 진출기업 프로파일 등의 정보를 제공합니다.

목차

제1장 프로젝트의 범위와 정의

제2장 조사 방법

제3장 주요 요약

제4장 고객의 목소리

제5장 세계의 스마트 그리드 애널리틱스 시장 전망(2017년-2031년)

제6장 북미의 스마트 그리드 애널리틱스 시장 전망(2017년-2031년)

제7장 유럽의 스마트 그리드 애널리틱스 시장 전망(2017년-2031년)

제8장 아시아태평양의 스마트 그리드 애널리틱스 시장 전망(2017년-2031년)

제9장 남미의 스마트 그리드 애널리틱스 시장 전망(2017년-2031년)

제10장 중동 및 아프리카의 스마트 그리드 애널리틱스 시장 전망(2017년-2031년)

제11장 Porter's Five Forces 분석

제12장 PESTLE 분석

제13장 가격 분석

제14장 시장 역학

제15장 시장 동향과 발전

제16장 사례 연구

제17장 경쟁 구도

제18장 전략적 제안

제19장 문의 및 면책사항

BJH
영문 목차

영문목차

Global smart grid analytics market is projected to witness a CAGR of 12.50% during the forecast period 2024-2031, growing from USD 6.40 billion in 2023 to USD 16.42 billion in 2031, owing to the rapid digitization of electricity sector.

The smart grid analytics market includes advanced data analysis tools and technologies to optimize the performance and management of smart electrical grids, where electrical grids are complex network made to generate, transmit, and distribute electricity from power plants to end-users. The smart city concept is a key catalyst for the growth of the smart grid analytics market, as urban areas increasingly embracing technologies designed to enhance infrastructure and improve quality of life. Smart cities leverage Internet of Things (IoT) sensors, smart meters, and real-time data analytics to create more efficient and responsive energy management systems. These cities integrate diverse energy sources, and must effectively manage dynamic energy consumption patterns, which necessitates advanced smart grid analytics. By providing real-time monitoring, predictive maintenance, and optimization, smart grid analytics helps ensure grid reliability, manage peak loads, and enhance energy efficiency. This alignment with the goals of urban sustainability and resilience drive further innovation and adoption in the smart grid analytics market, as smart grid solutions support the complex demands of modern urban environments.

Advancements in Technology is Elevating the Smart Grid Analytics Market

Smart gird analytics market is anticipated for major evolution, driven by advancements in several technology that elevate grid capabilities along with data collection. The surge of low-cost battery storage technology is a major factor driving the smart grid analytics market demand. For instance, as per IEA, by the end of 2022, the total installed capacity for grid-scale battery storage reached around 28-GW, reflecting a notable increase of over 75% from 2021. This trend is anticipated to persist, with forecasts suggesting that capacity could grow 35 times to nearly 970-GW by 2030 under the Net Zero Scenario.

Similarly, the widespread adoption of rooftop photovoltaics is adding value to the market. Advancement in microgrids, which operate independently or in integration with the main grid, is contributing to reshaping the smart grid analytics market.

Moreover, surge in data availability and the rise of IoT connectivity, such as smart devices and sensors that allow real-time monitoring and control of various grid components has significantly broadened the scope and potential of smart grid analytics market. For instance, utility companies have been upgrading their power plants and substations by installing sensors on key components such as turbines and transformers. These sensors monitor vibrations and other irregularities that could signal potential failures. Duke Energy and other utilities report that asset analytics have proven highly effective, helping to avoid significant outages caused by equipment issues.

Demand For Renewable Energy is Driving the Smart Grid Analytics Market

The growth in the utilization of renewable energy sources necessitates effective tracking and prediction of key outcomes. Smart grid analytics technology has therefore surfaced as an innovative tool in enhancing and improving the delivery of power networks. According to the World Economic Forum, in 2023, the global addition of new renewable electricity capacity reached 507-GW, marking a 50% increase compared to 2022. Smart technology plays a crucial role in increasing renewable energy penetration by providing methods and tools for effective management. Smart grid analytics collect and analyze updated data to forecast energy production, optimize grid operations, and balance demand and supply. These tools use historical data, weather predictions, and real-time performance to predict renewable power sources to generate electricity and the strength of that power. This enables energy providers to adjust grid usage patterns, integrate renewable energy more efficiently, and ensure a consistent and reliable energy supply for clients. Consequently, smart grid analytics offers utilities essential insights for optimizing renewable energy utilization while effectively managing the grid.

Capital Intensity and Operational Challenges in Market

One major drawback attributable to the smart grid analytics market is the capital intensity in terms of implementation and integration. The utilization of high-level smart grid analytics tools incorporates extensive amounts of capital investment in smart meters, sensors, and data management. Furthermore, incorporation of these new technologies into the existing grid systems takes time and funds, which may comprise of procurement of new products and solutions, expense incurred to educate people, and procurement of security shields. Some of the financial and operational issues that can become an issue for some utilities especially those in the developing world and may cause a slow rate of implementation and use of smart grid analytics solutions.

Asia-Pacific is Projected to Experience Fastest Growth in the Smart Grid Analytics Market

In densely populated countries with recent rapid development, such as China, India, Japan, and South Korea, the growing demand for energy is driving the need for new and improved power system. It includes the adoption of various smart grid analytical solution to manage and optimize energy distribution effectively. Asia-Pacific which currently hosts 54 percent of the world's total urban population, is at the forefront of this energy transformation.

Besides, tremendous government spending for promising smart grid analytics technologies, such as China's dedicated funding in smart city programs and infrastructure development, is improving energy efficiency and facilitating the integration of renewable resources. India has invested over USD 7.4 billion in smart grid projects as of 2023, with a focus on smart meters, sensors, and data management infrastructure. Similar supportive regulatory environments that provide incentives for carbon emission reduction and promotion of renewable resources are contributing to the improvement of advanced grid analytics through incentive enhancement and system robustness.

The evolution of smart city systems in the region is driving the need for advanced smart grid, IoT ecosystems, and renewable power investments. Additionally, the growth in utilizing advanced storage systems and smart grid technology is supported by technology suppliers and government that drives the market ahead and enhances the smart grid solutions.

Future Market Scenario (2024 - 2031F)

The emerging technologies such as AI, machine learning, and blockchain is anticipated to drive the advancement of smart grid analytics market. Also, improved predictive analytics, real time monitoring, and cyber security are expected to increase the efficiency of grid management and operation.

With the growing use of smart meters, sensors, and IoT devices in smart grids, the amount of data is expected to increase significantly. This surge will drive the need for advanced analytics to manage the information effectively and enhance grid reliability by enabling more precise decision-making.

As the need for clean energy grows, renewable sources such as solar and wind power will become central to smart grid analytics. Data analytics will help manage the fluctuations in renewable energy, maintain grid balance, and ensure efficient power distribution.

The concept of smart cities will have a large impact on the smart grid analytics market. Thus, as more cities embrace integrated and intelligent solutions in infrastructure, there will be increasing demand for smart grid solutions to support energy management and optimization, for providing service delivery or communication infrastructure.

Key Players Landscape and Outlook

The market is experiencing major trends due to the presence of prominent players in the smart grid analytics market which is defining market's development. Established players are providing solutions for smart grid technologies that includes grid management systems, real time monitoring and analytics.

Key players leverage their expertise in hardware and software systems to enhance grid reliability, efficiency, and integration of renewable energy systems. As the shift towards renewable energy generation accelerates, the market is expected to expand rapidly, necessitating advanced methods for managing energy variability and distribution.

In response, key players and startups are actively investing in strategic partnerships and collaborations to strengthen their positions in the smart grid analytics market. For instance, in February 2024, SPAN and Landis+Gyr announced a strategic partnership aimed at advancing electrification, enhancing grid flexibility, and building resilience in a cost-effective manner. This collaboration combines the expertise of two prominent energy industry leaders to assist utilities in optimizing the use of current assets, managing Distributed Energy Resources (DER) more effectively, and improving customer engagement.

Also, in July 2024, Eneida, a significant innovator in Neighbourhood Grid Intelligence for Zero Emission Neighbourhoods (ZEN) and based in Coimbra, has announced the successful completion of a USD 11.74 million Series B financing round.

Companies are investing in breakthrough innovations in the smart grid analytics market, which is adding value and driving growth of the market. For instance, in February 2024, Siemens unveiled Gridscale X, marking a significant step towards achieving autonomous grid management and expediting digital transformation for grid operators efficiently and comprehensively. The Gridscale X software empowers utilities to enhance grid capacity and improve visibility of Distributed Energy Resources (DER), which is crucial for grid decarbonization. By implementing Gridscale X, grid operators can advance their digital transformation efforts across planning, operations, and maintenance phases. Gridscale X is included in the Siemens Xcelerator portfolio and benefits from an extensive and open partner ecosystem that supports its implementation and integration.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

5. Global Smart Grid Analytics Market Outlook, 2017-2031F

6. North America Smart Grid Analytics Market Outlook, 2017-2031F*

All segments will be provided for all regions and countries covered

7. Europe Smart Grid Analytics Market Outlook, 2017-2031F

8. Asia-Pacific Smart Grid Analytics Market Outlook, 2017-2031F

9. South America Smart Grid Analytics Market Outlook, 2017-2031F

10. Middle East and Africa Smart Grid Analytics Market Outlook, 2017-2031F

11. Porter's Five Forces Analysis

12. PESTLE Analysis

13. Pricing Analysis

14. Market Dynamics

15. Market Trends and Developments

16. Case Studies

17. Competitive Landscape

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

18. Strategic Recommendations

19. About Us and Disclaimer

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