Product Code: ETC068387 | Publication Date: Jul 2023 | Updated Date: Jan 2024 | Product Type: Report | |
Publisher: 6Wresearch | No. of Pages: 70 | No. of Figures: 35 | No. of Tables: 5 | |
Indonesia intelligent automation market is expected to grow substantially in the coming years owing to its increasing applications in various industries such as BFSI, healthcare, retail, and manufacturing. Automation eliminates manual labor from processes making them more efficient and accurate. Intelligent automation helps organizations automate their business processes with machine-learning algorithms which enable machines to process large amounts of data faster than humans.
The primary driver for the Indonesia intelligent automation market is the rapid digitalization of businesses due to advancement in technology. Furthermore, the need for cost reduction and increased efficiency are also major driving factors for this market`s growth. Additionally, government initiatives encouraging technological innovation and investments are also propelling this market forward.
Some of the challenges faced by players operating in this market include lack of skilled professionals required to operate these systems efficiently as well as a lack of awareness among customers about available solutions and services related to intelligent automation technologies. These issues can act as impediments for the adoption of intelligent automation solutions across all sectors including small medium enterprises (SMEs).
Some key players involved in providing AI-driven solutions & services are IBM Corporation (US), Microsoft Corporation (US), Intel Corporation (US), Oracle Corporation (US), Accenture PLC(Ireland) , SAS Institute Inc.( US ), Adobe Systems Incorporated( US ). Others include Infosys Limited( India ), Wipro Limited( India ), UIPath ( Romania ), etc.
The pandemic has had an adverse effect on most markets worldwide however it appears that Indonesia Intelligent automation industry will only be impacted slightly over 2020 - 2021 since many companies have been moving towards adopting technologies like robotic process automation leading up to Covid19 . This trend will likely continue but at a slower rate due increased financial constraints caused by global recession triggered by COVID-19.
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Indonesia Intelligent Automation Market Overview |
3.1 Indonesia Country Macro Economic Indicators |
3.2 Indonesia Intelligent Automation Market Revenues & Volume, 2020 & 2027F |
3.3 Indonesia Intelligent Automation Market - Industry Life Cycle |
3.4 Indonesia Intelligent Automation Market - Porter's Five Forces |
3.5 Indonesia Intelligent Automation Market Revenues & Volume Share, By Component, 2020 & 2027F |
3.6 Indonesia Intelligent Automation Market Revenues & Volume Share, By Verticals, 2020 & 2027F |
3.7 Indonesia Intelligent Automation Market Revenues & Volume Share, By End users, 2020 & 2027F |
4 Indonesia Intelligent Automation Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.3 Market Restraints |
5 Indonesia Intelligent Automation Market Trends |
6 Indonesia Intelligent Automation Market, By Types |
6.1 Indonesia Intelligent Automation Market, By Component |
6.1.1 Overview and Analysis |
6.1.2 Indonesia Intelligent Automation Market Revenues & Volume, By Component, 2018 - 2027F |
6.1.3 Indonesia Intelligent Automation Market Revenues & Volume, By Solutions, 2018 - 2027F |
6.1.4 Indonesia Intelligent Automation Market Revenues & Volume, By Services, 2018 - 2027F |
6.1.5 Indonesia Intelligent Automation Market Revenues & Volume, By Managed Services, 2018 - 2027F |
6.2 Indonesia Intelligent Automation Market, By Verticals |
6.2.1 Overview and Analysis |
6.2.2 Indonesia Intelligent Automation Market Revenues & Volume, By BFSI, 2018 - 2027F |
6.2.3 Indonesia Intelligent Automation Market Revenues & Volume, By Healthcare, 2018 - 2027F |
6.2.4 Indonesia Intelligent Automation Market Revenues & Volume, By Retail, 2018 - 2027F |
6.2.5 Indonesia Intelligent Automation Market Revenues & Volume, By Government, 2018 - 2027F |
6.2.6 Indonesia Intelligent Automation Market Revenues & Volume, By Telecommunication, 2018 - 2027F |
6.2.7 Indonesia Intelligent Automation Market Revenues & Volume, By Utilities, 2018 - 2027F |
6.3 Indonesia Intelligent Automation Market, By End users |
6.3.1 Overview and Analysis |
6.3.2 Indonesia Intelligent Automation Market Revenues & Volume, By Natural Language Processing, 2018 - 2027F |
6.3.3 Indonesia Intelligent Automation Market Revenues & Volume, By Machine & Deep Learning, 2018 - 2027F |
6.3.4 Indonesia Intelligent Automation Market Revenues & Volume, By Virtual Agents, 2018 - 2027F |
6.3.5 Indonesia Intelligent Automation Market Revenues & Volume, By Mini Bots & RPA, 2018 - 2027F |
6.3.6 Indonesia Intelligent Automation Market Revenues & Volume, By Computer Vision, 2018 - 2027F |
6.3.7 Indonesia Intelligent Automation Market Revenues & Volume, By Others, 2018 - 2027F |
7 Indonesia Intelligent Automation Market Import-Export Trade Statistics |
7.1 Indonesia Intelligent Automation Market Export to Major Countries |
7.2 Indonesia Intelligent Automation Market Imports from Major Countries |
8 Indonesia Intelligent Automation Market Key Performance Indicators |
9 Indonesia Intelligent Automation Market - Opportunity Assessment |
9.1 Indonesia Intelligent Automation Market Opportunity Assessment, By Component, 2020 & 2027F |
9.2 Indonesia Intelligent Automation Market Opportunity Assessment, By Verticals, 2020 & 2027F |
9.3 Indonesia Intelligent Automation Market Opportunity Assessment, By End users, 2020 & 2027F |
10 Indonesia Intelligent Automation Market - Competitive Landscape |
10.1 Indonesia Intelligent Automation Market Revenue Share, By Companies, 2020 |
10.2 Indonesia Intelligent Automation Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |