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Global AI Software And Platforms Market Insights, Forecast To 2029

Published on: May 2023 | From USD $4900 | Published By: QY RESEARCH | Number Of Pages: 110

Artificial intelligence (AI, also machine intelligence, MI) is intelligence displayed by machines, in contrast with the natural intelligence (NI) displayed by humans and other animals. Artificial Intelligence Platform is Software that is capable of intelligent behavior. In creating intelligent software, this involves simulating a number of capabilities, including reasoning, learning, problem solving, perception, and knowledge representation.

Market Analysis and Insights: Global AI Software and Platforms Market
The global AI Software and Platforms market is projected to grow from US$ million in 2023 to US$ million by 2029, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.

The US & Canada market for AI Software and Platforms 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 China market for AI Software and Platforms 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 Europe market for AI Software and Platforms 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 key companies of AI Software and Platforms include Google, Baidu, IBM, Microsoft, SAP, Intel, Salesforce, Brighterion and KITT.AI, etc. in 2022, the global top five players had a share approximately % in terms of revenue.

Report Includes
This report presents an overview of global market for AI Software and Platforms market size. Analyses of the global market trends, with historic market revenue data for 2018 - 2022, estimates for 2023, and projections of CAGR through 2029.

This report researches the key producers of AI Software and Platforms, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for AI Software and Platforms, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.

This report focuses on the AI Software and Platforms revenue, market share and industry ranking of main companies, data from 2018 to 2023. Identification of the major stakeholders in the global AI Software and Platforms market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by type and by application, revenue, and growth rate, from 2018 to 2029. Evaluation and forecast the market size for AI Software and Platforms revenue, projected growth trends, production technology, application and end-user industry.

Descriptive company profiles of the major global players, including Google, Baidu, IBM, Microsoft, SAP, Intel, Salesforce, Brighterion and KITT.AI, etc.

By Company
Google
Baidu
IBM
Microsoft
SAP
Intel
Salesforce
Brighterion
KITT.AI
iFlyTek
Megvii Technology
Albert Technologies
Yseop
Ipsoft
nanoRep(LogMeIn)
Ada Support
Astute Solutions
IDEAL.com
Wipro
H2O.ai
Brainasoft

Segment by Type
On-Premise
Cloud-based

Segment by Application
Voice Processing
Text Processing
Image Processing

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, and Latin America
Turkey
Saudi Arabia
UAE
Rest of MEA

Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product 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: Revenue of AI Software and Platforms in global and regional level. 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. 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 AI Software and Platforms companies’ competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the revenue, 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 revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America by type, by application and by country, revenue for each segment.
Chapter 7: Europe by type, by application and by country, revenue for each segment.
Chapter 8: China by type and by application revenue for each segment.
Chapter 9: Asia (excluding China) by type, by application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by type, by application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI Software and Platforms revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions

1 Market Overview
1.1 Introduction
1.2 Market Analysis by Type
1.2.1 Overview: Global Revenue by Type: 2021 Versus 2022 Versus 2027
1.3 Market Analysis by Application
1.3.1 Overview: Global Revenue by Application: 2021 Versus 2022 Versus 2027
1.4 Global Market Size & Forecast
1.4.1 Global Sales in Value (2017-2027))
1.4.2 Global Sales in Volume (2017-2027)
1.4.3 Global Price by Type (2017-2027) & (US$/Unit)
1.5 Global Production Capacity Analysis
1.5.1 Global Total Production Capacity (2017-2027)
1.5.2 Global Production Capacity by Geographic Region
1.6 Market Drivers, Restraints and Trends
1.6.1 Market Drivers
1.6.2 Market Restraints
1.6.3 Trends Analysis
2 Manufacturers Profiles
**This is for each company**
2.1.1 Company Details
2.1.2 Company Major Business
2.1.3 Company Product and Services
2.1.4 Company Sales, Price, Revenue, Gross Margin and Market Share (2019-2021)
3 Sales by Manufacturer
3.1 Global Sales in Volume by Manufacturer (2020-2022e)
3.2 Global Revenue by Manufacturer (2020--2022e)
3.3 Key Manufacturer Market Position
3.4 Market Concentration Rate
3.4.1 Top 3 Manufacturer Market Share
3.4.2 Top 6 Manufacturer Market Share
3.5 Global Production Capacity by Company
3.6 Manufacturer by Geography: Head Office and Production Site
3.7 New Entrant and Capacity Expansion Plans
3.8 Mergers & Acquisitions
4 Market Analysis by Region
4.1 Global Market Size by Region
4.1.1 Global Sales in Volume by Region (2017-2027)
4.1.2 Global Revenue by Region (2017-2027)
4.2 North America Revenue (2017-2027)
4.3 Europe Revenue (2017-2027)
4.4 Asia-Pacific Revenue (2017-2027)
4.5 South America Revenue (2017-2027)
4.6 Middle East and Africa Revenue (2017-2027)
5 Market Segment by Type
5.1 Global Sales in Volume by Type (2017-2027)
5.2 Global Revenue by Type (2017-2027)
5.3 Global Price by Type (2017-2027)
6 Market Segment by Application
6.1 Global Sales in Volume by Application (2017-2027)
6.2 Global Revenue by Application (2017-2027)
6.3 Global Price by Application (2017-2027)
7 North America by Country, by Type, and by Application
7.1 North America Sales by Type (2017-2027)
7.2 North America Sales by Application (2017-2027)
7.3 North America Market Size by Country
7.3.1 North America Sales in Volume by Country (2017-2027)
7.3.2 North America Revenue by Country (2017-2027)
7.3.3 United States Market Size and Forecast (2017-2027)
7.3.4 Canada Market Size and Forecast (2017-2027)
7.3.5 Mexico Market Size and Forecast (2017-2027)
8 Europe by Country, by Type, and by Application
8.1 Europe Sales by Type (2017-2027)
8.2 Europe Sales by Application (2017-2027)
8.3 Europe Market Size by Country
8.3.1 Europe Sales in Volume by Country (2017-2027)
8.3.2 Europe Revenue by Country (2017-2027)
8.3.3 Germany Market Size and Forecast (2017-2027)
8.3.4 France Market Size and Forecast (2017-2027)
8.3.5 United Kingdom Market Size and Forecast (2017-2027)
8.3.6 Russia Market Size and Forecast (2017-2027)
8.3.7 Italy Market Size and Forecast (2017-2027)
9 Asia-Pacific by Country, by Type, and by Application
9.1 Asia-Pacific Sales by Type (2017-2027)
9.2 Asia-Pacific Sales by Application (2017-2027)
9.3 Asia-Pacific Market Size by Region
9.3.1 Asia-Pacific Sales in Volume by Region (2017-2027)
9.3.2 Asia-Pacific Revenue by Region (2017-2027)
9.3.3 China Market Size and Forecast (2017-2027)
9.3.4 Japan Market Size and Forecast (2017-2027)
9.3.5 Korea Market Size and Forecast (2017-2027)
9.3.6 India Market Size and Forecast (2017-2027)
9.3.7 Southeast Asia Market Size and Forecast (2017-2027)
9.3.8 Australia Market Size and Forecast (2017-2027)
10 South America by Country, by Type, and by Application
10.1 South America Sales by Type (2017-2027)
10.2 South America Sales by Application (2017-2027)
10.3 South America Market Size by Country
10.3.1 South America Sales in Volume by Country (2017-2027)
10.3.2 South America Revenue by Country (2017-2027)
10.3.3 Brazil Market Size and Forecast (2017-2027)
10.3.4 Argentina Market Size and Forecast (2017-2027)
11 Middle East & Africa by Country, by Type, and by Application
11.1 Middle East & Africa Sales by Type (2017-2027)
11.2 Middle East & Africa Sales by Application (2017-2027)
11.3 Middle East & Africa Market Size by Country
11.3.1 Middle East & Africa Sales in Volume by Country (2017-2027)
11.3.2 Middle East & Africa Revenue by Country (2017-2027)
11.3.3 Turkey Market Size and Forecast (2017-2027)
11.3.4 Egypt Market Size and Forecast (2017-2027)
11.3.5 Saudi Arabia Market Size and Forecast (2017-2027)
11.3.6 South Africa Market Size and Forecast (2017-2027)
12 Sales Channel, Distributors, Traders and Dealers
12.1 Sales Channel
12.1.1 Direct Marketing
12.1.2 Indirect Marketing
12.2 Typical Distributors
12.3 Typical Customers
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer

SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.

PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.

MARKET ENGINEERING
The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.

EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.

REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.

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