市场调查报告书
商品编码
1152004
2022-2029 年银行业智能机器全球市场规模研究与预测,按组件、机器类型、技术和地区分析Global Smart Machines in Banking Market Size study & Forecast, by Component by Machine Type By Technology and Regional Analysis, 2022-2029 |
智能机器是集成了M2M技术、人工智能(AI)、机器学习和深度学习等计算技术的设备,被银行和金融服务机构使用。
这些机器在银行业用于与银行业各个方面相关的欺诈访问和风险管理,例如信用风险评估。全球机器对机器连接数量的增加、全球银行业数字化程度的提高以及主要市场参与者的战略举措是推动市场增长的关键因素。
根据 Statista 的数据,2020 年全球将有大约 89 亿个 M2M 连接,预计到 2023 年将增长到 147 亿个连接。此外,语音识别系统和智能机器的日益集成以及数字银行服务的日益普及预计将在预测期内提供良好的增长前景。然而,智能机器的高成本和日益严重的安全问题将阻碍整个 2022-2029 年预测期内的市场增长。
银行业智能机器全球市场研究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。由于大公司的存在和必要的技术基础设施,北美已成为市场份额的主要地区。另一方面,由于银行业的发展和数字银行服务的兴起,预计亚太地区在预测期内将出现显着增长。
本报告中包括的主要市场进入者是:
近期市场动态。
银行业智能机器的全球市场研究报导。
历史数据: 2019-2020-2021
基准估计年份:2021
预测期:2022-2029
报告的收入预测、公司排名、竞争格局、增长因素、趋势
目标细分市场组件、机器类型、技术、地区
区域范围北美、欧洲、亚太地区、拉丁美洲、世界其他地区
购买研究报导报告即可免费定制(最多 8 小时的分析师时间)。添加或更改国家、地区、航段范围*
这项研究的目的是定义近年来各个细分市场和国家的市场规模,并预测他们在未来几年的价值。该报告旨在捕捉被调查国家工业的定性和定量方面。
它还提供了有关关键方面的详细信息,例如将定义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。市场的详细细分和子细分如下所述。
按组件
硬件
软件
服务
按机器类型
机器人
自动驾驶汽车
无人机
可穿戴设备
其他
按技术
云计算技术
大数据
万物互联
机器人技术
认知技术
情感技术
按地区
北美
美国
加拿大
欧洲
英国
德国
法国
西班牙
意大利
欧洲其他地区
亚太地区
中国
印度
日本
澳大利亚
韩国
其他亚太地区
拉丁美洲
巴西
墨西哥
世界其他地区
Global Smart Machines in Banking Market is valued approximately USD XX billion in 2021 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2022-2029. Smart Machines refers to a device integrated with machine-to-machine (M2M) technology and other computing technologies such as artificial intelligence (AI), machine learning & deep learning utilized by banking and financial services institutions. These machines are used in banking sector to access frauds and to manage risk associated with different aspects of banking such as credit risk assessment etc. The growing number of Machine-to-machine connections worldwide and rising digitization in banking sector worldwide as well as strategic initiatives from leading market players are key factors accelerating the market growth.
According to Statista - during 2020, globally around 8.9 billion machines to machine (M2M) connections were estimated, and as per projection the number of M2M connections would grow to 14.7 billion connections by 2023. Also, rising integration of speech recognition systems with smart machines and growing penetration of digital banking services would create lucrative growth prospectus for the market over the forecast period. However, the high cost of Smart Machines and rising security concerns impede the market growth throughout the forecast period of 2022-2029.
The key regions considered for the Global Smart Machines in Banking Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is the leading region in terms of market share owing to presence of leading market players as well as availability of required technological infrastructure in the region. Whereas Asia Pacific is expected to grow significantly during the forecast period, owing to factors such as rising banking sector and growing emergence of digital banking services in the region.
Major market players included in this report are:
Aethon
Apple Inc.
BAE Systems
Digital Reasoning Systems Inc
General Electric
Google LLC,
International Business Machines (IBM) Corporation
KUKA AG
Mobile Industrial Robots A/S
Salesforce.com Inc.
Recent Developments in the Market:
Global Smart Machines in Banking 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, Machine Type, Technology, 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
Hardware
Software
Service
By Machine Type
Robots
Autonomous Cars
Drones
Wearable Devices
Others
By Technology
Cloud Computing Technology
Big Data
Internet of Everything
Robotics
Cognitive Technology
Affective Technology
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
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