Market Overview:
The global AI platforms software market is expected to grow at a CAGR of 27.8% during the forecast period from 2018 to 2030. The growth of the market can be attributed to the increasing demand for AI platforms software from large enterprises and SMEs across different regions. Additionally, the growing adoption of cloud-based AI platforms software is also contributing to the growth of this market. North America is expected to hold the largest share in terms of revenue in 2018, while Asia Pacific is projected to grow at the highest CAGR during the forecast period.
Product Definition:
An AI platform is a software system designed to support the development, deployment and management of artificial intelligence applications. AI platforms provide tools and services for managing data, building models, training algorithms and deploying AI applications. They also provide APIs and frameworks for integrating with other systems and tools.
On-Premises:
On-premises, it's usage and growth factor in AI platforms software market is expected to witness significant growth over the forecast period. The major factor that propels the demand for on-premises software solutions is data security and privacy concerns of cloud-based solutions. Additionally, on-premise deployment offers greater customization of products as compared to cloud deployment.
Cloud Based:
Cloud based solutions are software-as-a-service solutions that provide shared computer resources over the internet. Cloud computing is a model for delivering shared services on an as-needed basis. It is a popular approach to distribute processing and storage across several computers/servers located in different geographic locations, instead of having one big server where all the data and applications are stored.
Application Insights:
The large-enterprise segment dominated the market in 2017. The segment is expected to witness a CAGR of XX% over the forecast period owing to various factors such as growing demand for smart automation solutions, increasing need for streamlining business processes through AI platform implementation and rising adoption of chatbots among enterprises. Furthermore, companies such as Microsoft Corporation; Google Inc.; Facebook, Inc.; Amazon.com, Inc.; and Apple inc., are investing significantly in order to enhance their products with machine learning capabilities that will drive growth further.
The SMEs or small & medium-sized businesses segment is anticipated to exhibit considerable growth over the forecast period owing to increased adoption of AI platforms by these firms for several purposes including customer support services.
Regional Analysis:
North America dominated the global market in 2017. The growth can be attributed to the presence of major players, such as IBM Corporation; Google LLC; Microsoft Corporation; and Amazon Web Services, Inc. (AWS). These companies are continuously investing in R&D activities to develop advanced algorithms for various use cases such as image analysis, natural language processing, and autonomous vehicles. Moreover, increasing investments by governments for developing smart cities is also expected to drive regional growth over the forecast period. For instance, according to a white paper published by PwC U.S., public-private partnerships have increased from USD X million in 2014 to USD X billion by 2018 with an average of USD X million per partnership agreement across all categories (economic development/housing & community amenities/infrastructure).
Asia Pacific is anticipated to witness significant growth over the next eight years owing high demand from emerging economies such as China.
Growth Factors:
- Increasing demand for AI-powered solutions from businesses of all sizes
- Rapid proliferation of AI-enabled devices and sensors
- Growing demand for data analytics and machine learning services
- Proliferation of open source platforms and development tools
- Rising number of AI start-ups and venture capital investments
Scope Of The Report
Report Attributes
Report Details
Report Title
AI Platforms Software Market Research Report
By Type
On-Premises, Cloud Based
By Application
Large Enterprised, SMEs
By Companies
Microsoft, Google, IBM, Baidu, SAP, Salesforce, Brighterion, IFlyTek, Megvii Technology, H2O.ai, Wipro, Albert Technologies, NanoRep(LogMeIn), Brainasoft, Ada Support, Yseop, IDEAL.com
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
158
Number of Tables & Figures
111
Customization Available
Yes, the report can be customized as per your need.
Global AI Platforms Software Market Report Segments:
The global AI Platforms Software market is segmented on the basis of:
Types
On-Premises, Cloud Based
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Large Enterprised, SMEs
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Microsoft
- Google
- IBM
- Baidu
- SAP
- Salesforce
- Brighterion
- IFlyTek
- Megvii Technology
- H2O.ai
- Wipro
- Albert Technologies
- NanoRep(LogMeIn)
- Brainasoft
- Ada Support
- Yseop
- IDEAL.com
Highlights of The AI Platforms Software Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- On-Premises
- Cloud Based
- By Application:
- Large Enterprised
- SMEs
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the AI Platforms Software Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
AI Platforms Software is a software platform that helps businesses automate their business processes. It provides a centralized interface for managing and deploying AI applications, as well as the ability to connect with third-party services to augment your workflow.
Some of the major players in the ai platforms software market are Microsoft, Google, IBM, Baidu, SAP, Salesforce, Brighterion, IFlyTek, Megvii Technology, H2O.ai, Wipro, Albert Technologies, NanoRep(LogMeIn), Brainasoft, Ada Support, Yseop, IDEAL.com.
The ai platforms software market is expected to grow at a compound annual growth rate of 27.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI Platforms Software Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 AI Platforms Software Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 AI Platforms Software Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the AI Platforms Software Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global AI Platforms Software Market Size & Forecast, 2018-2028
4.5.1 AI Platforms Software Market Size and Y-o-Y Growth
4.5.2 AI Platforms Software Market Absolute $ Opportunity
Chapter 5 Global AI Platforms Software Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 AI Platforms Software Market Size Forecast by Type
5.2.1 On-Premises
5.2.2 Cloud Based
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global AI Platforms Software Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 AI Platforms Software Market Size Forecast by Applications
6.2.1 Large Enterprised
6.2.2 SMEs
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global AI Platforms Software Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 AI Platforms Software Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America AI Platforms Software Analysis and Forecast
9.1 Introduction
9.2 North America AI Platforms Software Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America AI Platforms Software Market Size Forecast by Type
9.6.1 On-Premises
9.6.2 Cloud Based
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America AI Platforms Software Market Size Forecast by Applications
9.10.1 Large Enterprised
9.10.2 SMEs
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe AI Platforms Software Analysis and Forecast
10.1 Introduction
10.2 Europe AI Platforms Software Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe AI Platforms Software Market Size Forecast by Type
10.6.1 On-Premises
10.6.2 Cloud Based
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe AI Platforms Software Market Size Forecast by Applications
10.10.1 Large Enterprised
10.10.2 SMEs
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific AI Platforms Software Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific AI Platforms Software Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific AI Platforms Software Market Size Forecast by Type
11.6.1 On-Premises
11.6.2 Cloud Based
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific AI Platforms Software Market Size Forecast by Applications
11.10.1 Large Enterprised
11.10.2 SMEs
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America AI Platforms Software Analysis and Forecast
12.1 Introduction
12.2 Latin America AI Platforms Software Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America AI Platforms Software Market Size Forecast by Type
12.6.1 On-Premises
12.6.2 Cloud Based
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America AI Platforms Software Market Size Forecast by Applications
12.10.1 Large Enterprised
12.10.2 SMEs
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) AI Platforms Software Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) AI Platforms Software Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) AI Platforms Software Market Size Forecast by Type
13.6.1 On-Premises
13.6.2 Cloud Based
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) AI Platforms Software Market Size Forecast by Applications
13.10.1 Large Enterprised
13.10.2 SMEs
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 AI Platforms Software Market: Competitive Dashboard
14.2 Global AI Platforms Software Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Microsoft
14.3.2 Google
14.3.3 IBM
14.3.4 Baidu
14.3.5 SAP
14.3.6 Salesforce
14.3.7 Brighterion
14.3.8 IFlyTek
14.3.9 Megvii Technology
14.3.10 H2O.ai
14.3.11 Wipro
14.3.12 Albert Technologies
14.3.13 NanoRep(LogMeIn)
14.3.14 Brainasoft
14.3.15 Ada Support
14.3.16 Yseop
14.3.17 IDEAL.com
