Global Intelligent Automation Market Research Report 2023

Publication ID:

PB503233259

Publication Date:

March 9, 2023

Pages:

101

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Highlights
The global Intelligent Automation market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Intelligent Automation is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Intelligent Automation is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Intelligent Automation in Agriculture is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Intelligent Automation include IBM, Intel, Microsoft, SAP, Agribotix, The Climate Corporation, Taranis, aWhere and Precision Hawk, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Intelligent Automation, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Intelligent Automation.
The Intelligent Automation market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Intelligent Automation market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Intelligent Automation companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
IBM
Intel
Microsoft
SAP
Agribotix
The Climate Corporation
Taranis
aWhere
Precision Hawk
Granular
Prospera Technologies
DTN
Resson
Vision Robotics
Harvest Croo Robotics
CropX
John Deere
Gamaya
Cainthus
Segment by Type
Machine Learning
Computer Vision
Predictive Analytics
Segment by Application
Agriculture
Equipment
Cyber Security
Automotive
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Intelligent Automation companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Intelligent Automation Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Machine Learning
1.2.3 Computer Vision
1.2.4 Predictive Analytics
1.3 Market by Application
1.3.1 Global Intelligent Automation Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Agriculture
1.3.3 Equipment
1.3.4 Cyber Security
1.3.5 Automotive
1.3.6 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Intelligent Automation Market Perspective (2018-2029)
2.2 Intelligent Automation Growth Trends by Region
2.2.1 Global Intelligent Automation Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Intelligent Automation Historic Market Size by Region (2018-2023)
2.2.3 Intelligent Automation Forecasted Market Size by Region (2024-2029)
2.3 Intelligent Automation Market Dynamics
2.3.1 Intelligent Automation Industry Trends
2.3.2 Intelligent Automation Market Drivers
2.3.3 Intelligent Automation Market Challenges
2.3.4 Intelligent Automation Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Intelligent Automation Players by Revenue
3.1.1 Global Top Intelligent Automation Players by Revenue (2018-2023)
3.1.2 Global Intelligent Automation Revenue Market Share by Players (2018-2023)
3.2 Global Intelligent Automation Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Intelligent Automation Revenue
3.4 Global Intelligent Automation Market Concentration Ratio
3.4.1 Global Intelligent Automation Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Intelligent Automation Revenue in 2022
3.5 Intelligent Automation Key Players Head office and Area Served
3.6 Key Players Intelligent Automation Product Solution and Service
3.7 Date of Enter into Intelligent Automation Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Intelligent Automation Breakdown Data by Type
4.1 Global Intelligent Automation Historic Market Size by Type (2018-2023)
4.2 Global Intelligent Automation Forecasted Market Size by Type (2024-2029)
5 Intelligent Automation Breakdown Data by Application
5.1 Global Intelligent Automation Historic Market Size by Application (2018-2023)
5.2 Global Intelligent Automation Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Intelligent Automation Market Size (2018-2029)
6.2 North America Intelligent Automation Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Intelligent Automation Market Size by Country (2018-2023)
6.4 North America Intelligent Automation Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Intelligent Automation Market Size (2018-2029)
7.2 Europe Intelligent Automation Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Intelligent Automation Market Size by Country (2018-2023)
7.4 Europe Intelligent Automation Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Intelligent Automation Market Size (2018-2029)
8.2 Asia-Pacific Intelligent Automation Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Intelligent Automation Market Size by Region (2018-2023)
8.4 Asia-Pacific Intelligent Automation Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Intelligent Automation Market Size (2018-2029)
9.2 Latin America Intelligent Automation Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Intelligent Automation Market Size by Country (2018-2023)
9.4 Latin America Intelligent Automation Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Intelligent Automation Market Size (2018-2029)
10.2 Middle East & Africa Intelligent Automation Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Intelligent Automation Market Size by Country (2018-2023)
10.4 Middle East & Africa Intelligent Automation Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Intelligent Automation Introduction
11.1.4 IBM Revenue in Intelligent Automation Business (2018-2023)
11.1.5 IBM Recent Development
11.2 Intel
11.2.1 Intel Company Detail
11.2.2 Intel Business Overview
11.2.3 Intel Intelligent Automation Introduction
11.2.4 Intel Revenue in Intelligent Automation Business (2018-2023)
11.2.5 Intel Recent Development
11.3 Microsoft
11.3.1 Microsoft Company Detail
11.3.2 Microsoft Business Overview
11.3.3 Microsoft Intelligent Automation Introduction
11.3.4 Microsoft Revenue in Intelligent Automation Business (2018-2023)
11.3.5 Microsoft Recent Development
11.4 SAP
11.4.1 SAP Company Detail
11.4.2 SAP Business Overview
11.4.3 SAP Intelligent Automation Introduction
11.4.4 SAP Revenue in Intelligent Automation Business (2018-2023)
11.4.5 SAP Recent Development
11.5 Agribotix
11.5.1 Agribotix Company Detail
11.5.2 Agribotix Business Overview
11.5.3 Agribotix Intelligent Automation Introduction
11.5.4 Agribotix Revenue in Intelligent Automation Business (2018-2023)
11.5.5 Agribotix Recent Development
11.6 The Climate Corporation
11.6.1 The Climate Corporation Company Detail
11.6.2 The Climate Corporation Business Overview
11.6.3 The Climate Corporation Intelligent Automation Introduction
11.6.4 The Climate Corporation Revenue in Intelligent Automation Business (2018-2023)
11.6.5 The Climate Corporation Recent Development
11.7 Taranis
11.7.1 Taranis Company Detail
11.7.2 Taranis Business Overview
11.7.3 Taranis Intelligent Automation Introduction
11.7.4 Taranis Revenue in Intelligent Automation Business (2018-2023)
11.7.5 Taranis Recent Development
11.8 aWhere
11.8.1 aWhere Company Detail
11.8.2 aWhere Business Overview
11.8.3 aWhere Intelligent Automation Introduction
11.8.4 aWhere Revenue in Intelligent Automation Business (2018-2023)
11.8.5 aWhere Recent Development
11.9 Precision Hawk
11.9.1 Precision Hawk Company Detail
11.9.2 Precision Hawk Business Overview
11.9.3 Precision Hawk Intelligent Automation Introduction
11.9.4 Precision Hawk Revenue in Intelligent Automation Business (2018-2023)
11.9.5 Precision Hawk Recent Development
11.10 Granular
11.10.1 Granular Company Detail
11.10.2 Granular Business Overview
11.10.3 Granular Intelligent Automation Introduction
11.10.4 Granular Revenue in Intelligent Automation Business (2018-2023)
11.10.5 Granular Recent Development
11.11 Prospera Technologies
11.11.1 Prospera Technologies Company Detail
11.11.2 Prospera Technologies Business Overview
11.11.3 Prospera Technologies Intelligent Automation Introduction
11.11.4 Prospera Technologies Revenue in Intelligent Automation Business (2018-2023)
11.11.5 Prospera Technologies Recent Development
11.12 DTN
11.12.1 DTN Company Detail
11.12.2 DTN Business Overview
11.12.3 DTN Intelligent Automation Introduction
11.12.4 DTN Revenue in Intelligent Automation Business (2018-2023)
11.12.5 DTN Recent Development
11.13 Resson
11.13.1 Resson Company Detail
11.13.2 Resson Business Overview
11.13.3 Resson Intelligent Automation Introduction
11.13.4 Resson Revenue in Intelligent Automation Business (2018-2023)
11.13.5 Resson Recent Development
11.14 Vision Robotics
11.14.1 Vision Robotics Company Detail
11.14.2 Vision Robotics Business Overview
11.14.3 Vision Robotics Intelligent Automation Introduction
11.14.4 Vision Robotics Revenue in Intelligent Automation Business (2018-2023)
11.14.5 Vision Robotics Recent Development
11.15 Harvest Croo Robotics
11.15.1 Harvest Croo Robotics Company Detail
11.15.2 Harvest Croo Robotics Business Overview
11.15.3 Harvest Croo Robotics Intelligent Automation Introduction
11.15.4 Harvest Croo Robotics Revenue in Intelligent Automation Business (2018-2023)
11.15.5 Harvest Croo Robotics Recent Development
11.16 CropX
11.16.1 CropX Company Detail
11.16.2 CropX Business Overview
11.16.3 CropX Intelligent Automation Introduction
11.16.4 CropX Revenue in Intelligent Automation Business (2018-2023)
11.16.5 CropX Recent Development
11.17 John Deere
11.17.1 John Deere Company Detail
11.17.2 John Deere Business Overview
11.17.3 John Deere Intelligent Automation Introduction
11.17.4 John Deere Revenue in Intelligent Automation Business (2018-2023)
11.17.5 John Deere Recent Development
11.18 Gamaya
11.18.1 Gamaya Company Detail
11.18.2 Gamaya Business Overview
11.18.3 Gamaya Intelligent Automation Introduction
11.18.4 Gamaya Revenue in Intelligent Automation Business (2018-2023)
11.18.5 Gamaya Recent Development
11.19 Cainthus
11.19.1 Cainthus Company Detail
11.19.2 Cainthus Business Overview
11.19.3 Cainthus Intelligent Automation Introduction
11.19.4 Cainthus Revenue in Intelligent Automation Business (2018-2023)
11.19.5 Cainthus Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

IBM
Intel
Microsoft
SAP
Agribotix
The Climate Corporation
Taranis
aWhere
Precision Hawk
Granular
Prospera Technologies
DTN
Resson
Vision Robotics
Harvest Croo Robotics
CropX
John Deere
Gamaya
Cainthus

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