市场调查报告书
商品编码
1215403
全球能源人工智能 (AI) 市场规模和预测:按组件类型、应用、最终用户、部署类型和地区分析,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 年全球能源领域人工智能市场价值约为 40 亿美元,预计在 2022-2029 年预测期内将以超过 17.4% 的健康增长率增长。
基于 AI 的解决方案和服务广泛用于电力和能源行业,以帮助更好地控制和管理能源消耗,并预测和优化网络故障。 此外,通过管理家庭、企业、蓄电池、可再生能源、微电网和电网之间的能源流动,人工智能正被用于优化能源网络。 此外,基于预测分析,能源公司可以访问未来的能源需求,并可以检测能源盗窃或从电网非法盗窃能源。 全球能源需求的增长、智能电錶和智能家居解决方案的日益普及是推动市场增长的主要因素。
由于城市地区的扩张和新兴国家工业活动的扩张,全球能源需求正在迅速增加,这有助于全球能源领域人工智能市场的增长。 例如,根据 Statista 的数据,2019 年全球可再生能源消耗量估计为 74 艾焦耳,预计到 2050 年将增长到 247 艾焦耳。 此外,加速市场增长的另一个因素是对智能电网的投资不断增加。 例如,国际能源署 (IEA) 估计,2019 年,美国用于电网现代化的支出约为 710 亿美元,到 2021 年这一数字将上升至 840 亿美元。 此外,2022 年 2 月,印度可再生能源署 (IRENA) 和中国国家电网公司 (SGCC) 宣布,将在 2021 年至 2025 年期间投资 3500 亿美元升级电网并建设新的电力系统。 此外,预计在预测期内,增加对能源部门现代化的投资和 AI/ML 技术的不断进步将为市场创造有利的增长前景。 然而,与基于人工智能的服务和解决方案相关的高成本将阻碍整个 2022-2029 年预测期内的市场增长。
全球能源人工智能市场研究中考虑的主要区域是亚太地区、北美、欧洲、拉丁美洲和世界其他地区。 由于主要市场参与者的主导地位以及对该地区能源分配设施现代化的投资增加,北美在收入方面占据了市场主导地位。 另一方面,由于工业部门能源需求增加以及政府当局为推动该地区能源部门做出的有利努力等因素,预计亚太地区在预测期内将以最高复合年增长率增长。。
本研究的目的是阐明近年来各个细分市场和国家/地区的市场规模,并预测未来几年的市场规模。 该报告旨在捕捉被调查国家工业的定性和定量方面的情况。
它还提供了关键方面的详细信息,例如决定市场未来增长的驱动因素和挑战。 此外,它还包含供利益相关者投资的微观市场潜在机会,以及对主要参与者的竞争格局和产品供应的深入分析。
按组件类型
解决方案
服务
按应用
机器人
可再生能源管理
需求预测
安全与保障
基础设施
杂项
最终用户
能量转移
能源生产
能量分布
实用程序
按安装类型
本地
云
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