市場調查報告書
商品編碼
1152004
2022-2029 年銀行業智能機器全球市場規模研究與預測,按組件、機器類型、技術和地區分析Global Smart Machines in Banking Market Size study & Forecast, by Component by Machine Type By Technology and Regional Analysis, 2022-2029 |
智能機器是集成了M2M技術、人工智能(AI)、機器學習和深度學習等計算技術的設備,被銀行和金融服務機構使用。
這些機器在銀行業用於與銀行業各個方面相關的欺詐訪問和風險管理,例如信用風險評估。全球機器對機器連接數量的增加、全球銀行業數字化程度的提高以及主要市場參與者的戰略舉措是推動市場增長的關鍵因素。
根據 Statista 的數據,2020 年全球將有大約 89 億個 M2M 連接,預計到 2023 年將增長到 147 億個連接。此外,語音識別系統和智能機器的日益集成以及數字銀行服務的日益普及預計將在預測期內提供良好的增長前景。然而,智能機器的高成本和日益嚴重的安全問題將阻礙整個 2022-2029 年預測期內的市場增長。
銀行業智能機器全球市場研究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。由於大公司的存在和必要的技術基礎設施,北美已成為市場份額的主要地區。另一方面,由於銀行業的發展和數字銀行服務的興起,預計亞太地區在預測期內將出現顯著增長。
本報告中包括的主要市場進入者是:
近期市場動態。
銀行業智能機器的全球市場研究報導。
歷史數據: 2019-2020-2021
基準估計年份:2021
預測期:2022-2029
報告的收入預測、公司排名、競爭格局、增長因素、趨勢
目標細分市場組件、機器類型、技術、地區
區域範圍北美、歐洲、亞太地區、拉丁美洲、世界其他地區
購買研究報導報告即可免費定制(最多 8 小時的分析師時間)。添加或更改國家、地區、航段範圍*
這項研究的目的是定義近年來各個細分市場和國家的市場規模,並預測他們在未來幾年的價值。該報告旨在捕捉被調查國家工業的定性和定量方面。
它還提供了有關關鍵方面的詳細信息,例如將定義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。市場的詳細細分和子細分如下所述。
按組件
硬件
軟件
服務
按機器類型
機器人
自動駕駛汽車
無人機
可穿戴設備
其他
按技術
雲計算技術
大數據
萬物互聯
機器人技術
認知技術
情感技術
按地區
北美
美國
加拿大
歐洲
英國
德國
法國
西班牙
意大利
歐洲其他地區
亞太地區
中國
印度
日本
澳大利亞
韓國
其他亞太地區
拉丁美洲
巴西
墨西哥
世界其他地區
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