市場調查報告書
商品編碼
1215403
全球能源人工智能 (AI) 市場規模和預測:按組件類型、應用、最終用戶、部署類型和地區分析,2022-2029Global AI in Energy Market Size study & Forecast, by Component Type, By Application, By End user, By Deployment Type and Regional Analysis, 2022-2029 |
2021 年全球能源領域人工智能市場價值約為 40 億美元,預計在 2022-2029 年預測期內將以超過 17.4% 的健康增長率增長。
基於 AI 的解決方案和服務廣泛用於電力和能源行業,以幫助更好地控制和管理能源消耗,並預測和優化網絡故障。 此外,通過管理家庭、企業、蓄電池、可再生能源、微電網和電網之間的能源流動,人工智能正被用於優化能源網絡。 此外,基於預測分析,能源公司可以訪問未來的能源需求,並可以檢測能源盜竊或從電網非法盜竊能源。 全球能源需求的增長、智能電錶和智能家居解決方案的日益普及是推動市場增長的主要因素。
由於城市地區的擴張和新興國家工業活動的擴張,全球能源需求正在迅速增加,這有助於全球能源領域人工智能市場的增長。 例如,根據 Statista 的數據,2019 年全球可再生能源消耗量估計為 74 艾焦耳,預計到 2050 年將增長到 247 艾焦耳。 此外,加速市場增長的另一個因素是對智能電網的投資不斷增加。 例如,國際能源署 (IEA) 估計,2019 年,美國用於電網現代化的支出約為 710 億美元,到 2021 年這一數字將上升至 840 億美元。 此外,2022 年 2 月,印度可再生能源署 (IRENA) 和中國國家電網公司 (SGCC) 宣布,將在 2021 年至 2025 年期間投資 3500 億美元升級電網並建設新的電力系統。 此外,預計在預測期內,增加對能源部門現代化的投資和 AI/ML 技術的不斷進步將為市場創造有利的增長前景。 然而,與基於人工智能的服務和解決方案相關的高成本將阻礙整個 2022-2029 年預測期內的市場增長。
全球能源人工智能市場研究中考慮的主要區域是亞太地區、北美、歐洲、拉丁美洲和世界其他地區。 由於主要市場參與者的主導地位以及對該地區能源分配設施現代化的投資增加,北美在收入方面佔據了市場主導地位。 另一方面,由於工業部門能源需求增加以及政府當局為推動該地區能源部門做出的有利努力等因素,預計亞太地區在預測期內將以最高複合年增長率增長。。
本研究的目的是闡明近年來各個細分市場和國家/地區的市場規模,並預測未來幾年的市場規模。 該報告旨在捕捉被調查國家工業的定性和定量方面的情況。
它還提供了關鍵方面的詳細信息,例如決定市場未來增長的驅動因素和挑戰。 此外,它還包含供利益相關者投資的微觀市場潛在機會,以及對主要參與者的競爭格局和產品供應的深入分析。
按組件類型
解決方案
服務
按應用
機器人
可再生能源管理
需求預測
安全與保障
基礎設施
雜項
最終用戶
能量轉移
能源生產
能量分佈
實用程序
按安裝類型
本地
雲
Global AI in Energy Market is valued approximately USD 4 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 17.4% over the forecast period 2022-2029. AI based solution and services are used across the power and energy sector to assist better control and management of energy consumption, and for anticipating network malfunctions & optimization. Moreover, AI is utilized towards the optimization of energy grids by managing energy flows between homes, businesses, storage batteries, renewable energy sources, microgrids, and the power grid. Additionally, based on the Predictive analytics, energy companies can access the future energy demand and can also detect energy theft and illegal taping of energy from the grid. The increasing energy demand worldwide and growing adoption of smart meters and smart home solutions are key factors accelerating the market growth.
The global energy demand is rapidly increasing due to growing expansion of urban areas & industrial activity in developing regions, which in turn contributing towards the growth of the Global AI in Energy Market. For instance, as per Statista - in 2019, the global renewable energy consumption was estimated at 74 exajoules, and the renewable energy consumption is projected to grow to 247 exajoules in 2050. Moreover, another factor accelerating the market growth is increasing investment in smart grids. For instance, according to International Energy Agency (IEA) estimates - in 2019, the United States spent around USD 71 billion in modernization of grids, and this amount further increased to USD 84 billion in 2021. Additionally, in Feb 2022, India Renewable Energy Agency (IRENA) and State Grid Corporation of China (SGCC) announced investment of USD 350 billion between 2021 & 2025 to upgrade power grid & build new power systems. Also, increasing investment towards modernization of the energy sector and rising advancements in AI & ML technologies would create lucrative growth prospectus for the market over the forecast period. However, the high cost associated with AI based services & solutions stifles market growth throughout the forecast period of 2022-2029.
The key regions considered for the Global AI in Energy Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to the dominance of leading market players and increasing investment towards modernization of energy distribution equipment in the region. Whereas Asia Pacific is expected to grow with a highest CAGR during the forecast period, owing to factors such as rising energy demand from industrial sector & favorable initiatives from government authorities towards advancements in energy sector in the region.
Major market players included in this report are:
Alpiq AG
SmartCloud Inc.
General Electric
Siemens AG
Hazama Ando Corporation
ATOS SE
AppOrchid Inc
Zen Robotics Ltd
Schneider Electric
ABB Group
Recent Developments in the Market:
Global AI in Energy Market Report Scope:
Historical Data: 2019-2020-2021
Base Year for Estimation: 2021
Forecast period: 2022-2029
Report Coverage: Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered: Component Type, Application, End User, Deployment Type, Region
Regional Scope: North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope: Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component Type
Solutions
Services
By Application
Robotics
Renewables Management
Demand Forecasting
Safety and Security
Infrastructure
Others
By End user
Energy Transmission
Energy Generation
Energy Distribution
Utilities
By Deployment Type
On-premises
Cloud
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
RoLA
Rest of the World
List of tables and figures and dummy in nature, final lists may vary in the final deliverable
List of figures
List of tables and figures and dummy in nature, final lists may vary in the final deliverable