Ai Platforms Software Market will reach at USD 15.38 Billion by 2032 with Top Key Players -Microsoft, Google, IBM, Baidu, SAP, Salesforce, Brighterion, IFlyTek, Megvii Technology, H2O.ai, Wipro, Albert Technologies, NanoRep(LogMeIn), Brainasoft, Ada Suppo

The Artificial Intelligence (AI) platform market is said to have a potential scope for growth in the years to come, due to the generation of large amount of data that requires analysis to improve decision-making process of service providers. The growing demand for AI-based solutions and proliferation in data generation are some of the major driving factors for the market. The AI platform market size is expected to grow from USD 6.22 Billion in 2021 to USD 15.38 Billion by 2032, at a Compound Annual Growth Rate (CAGR) of 30.5%.

The objective of the study is to define, describe, and forecast the global AI platform market on the basis of tools (Natural Language Processing (NLP) and Machine Learning (ML)), services (managed and professional), deployment modes (cloud and on-premises), applications (forecasts and prescriptive models, chatbots, speech recognition, text recognition, and others (includes face detection, sentiment analysis)), and regions. The report also aims at providing detailed information about the major factors influencing the growth of the AI platform market (drivers, restraints, opportunities, and challenges).

Some of the Major Key players profiled in the study are Microsoft, Google, IBM, Baidu, SAP, Salesforce, Brighterion, IFlyTek, Megvii Technology, H2O.ai, Wipro, Albert Technologies, NanoRep(LogMeIn), Brainasoft, Ada Support, Yseop, IDEAL.com

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VMarket Dynamics

Drivers
There is a growing trend of adopting AI capabilities in the workstream of several industries. The need for automation, speed, and smart application is a crucial reason behind the market demand for AI technology. AI software platforms enable multiple facilities that improve the user experience, enhances business operations, and communication. The artificial intelligence (AI) software platform market is increasing based on rapid modernization and development in operational methods of the world. Repetitive human jobs can be taken care of in cost-effective methods with the help of artificial intelligence software platforms. The AI software is capable of predicting various key insights, detecting errors, automate the functionality in the workflow. The use of AI is cost-effective for end-user industries to operate different functionalities within the business stream.

AI software assistants are capable of handling customer communication and robotics functions in the industry to enhance the work process. There is a steady demand for AI software platforms for automation and customer assistance capabilities over the years. The AI market is expected to grow further with help of new technologies.

Opportunities
Two of the major influences on AI software platforms are cloud computing and big data. The AI software needs and generates huge amounts of data for analyzing and creating suggestions. In this arena, improvements in the cloud-storage services and industries are going to create new options for the market. Also, big data management is expected to grow in the future too. Innovation in the internet of things (IoT) has been a boon for the AI software platforms market. Current market statistics show there are over 8.74 billion IoT devices in the market in 2020, which is going to be triple in number in the next ten years. The artificial intelligence (AI) software platform market size is going to increase with the support of a huge number of connected devices in the market.

Additionally, the improvements of 5G technology are going to present new opportunities for the market. The majority of the AI software platform is connected with cloud services and uses the internet to execute operational tasks. High-speed internet availability in the market will create new possibilities for virtual assistance and robotics as well. The artificial intelligence (AI) software platform market analysis predicts massive growth of the system in the coming ten years.

Restraints
The AI software platform is dependent on development, maintenance, and servicing. The software is smart and has additional intelligence, but the qualities cannot be called creative or inventive. Hence there will be a constant need for highly qualified robotics and AI software specialists and experts to manage the systems. In the current scenario, there is a significant lack of trained and skilled AI developers and experts in the market. This factor is a major obstacle before the growth of artificial intelligence (AI) software platform market share. The software for AI is considered very complicated in the industry which requires advanced knowledge and skill to operate.

Additionally, the cost of AI software implementation and maintenance is expensive. Various potential markets in the world are not moving forward at the desired pace owing to the affordability issue. The AI software makes the work process easier and enhanced, but the deployment costs are quite high, especially for SMEs. Also, the unavailability of necessary infrastructure in different markets is causing slower growth. Based on current forecasts, this unpreparedness factor is going to persist in a large section of the global Artificial Intelligence (AI) Software Platform market during the forecast period.

Challenges
The AI software platform presents new and effective solutions, but it is limited in certain areas too. Put aside the cost of custom-creating infrastructure, the system cannot entirely replace the contribution of human employees and intelligence. For instance, AI software is not creative. The intelligence in the system is artificially created and machine learning is an advanced outcome of the system. But the AI software is incapable of executing tasks that require producing something original or something that demands the use of creative faculties.

Also, there is a growing concern over the accuracy of the solutions produced by AI software platforms. This automated program relies on data that is inserted into the system. Although advanced AI algorithms do not make trivial errors, still the program is not 100% accurate all the time. Several factors can cause an errored result out of the system. These factors can be a threat to the global artificial intelligence (AI) software platform business.

Cumulative Growth Analysis
In 2017, the global Artificial Intelligence (AI) Software Platform market reached USD 2.45 billion. The overall performance of the AI software platform market has been optimistic for the last couple of years. Current projections state the market is growing at a CAGR of 28.1% for the forecast period 2020 to 2027. The market is going to reach a net valuation of USD 11.3 billion by the end of 2027 according to market estimates.

Value Chain Analysis
The distribution channel for AI software platforms relies on the demands of the end-user markets. The developing giant corporations form strategic partnerships, third-party acquisitions, retailing, etc. The system reaches the markets via custom development and online purchases.
Global Ai Platforms Software Market Segmentation:

Ai Platforms Software Segmentation by Type:

On-Premises, Cloud Based.

Ai Platforms Software Segmentation by Application:

Large Enterprised, SMEs

Key market aspects are illuminated in the report:

Executive Summary: It covers a summary of the most vital studies, the Global Ai Platforms Software market increasing rate, modest circumstances, market trends, drivers and problems as well as macroscopic pointers.

Study Analysis: Covers major companies, vital market segments, the scope of the products offered in the Global Ai Platforms Software market, the years measured and the study points.

Company Profile: Each Firm well-defined in this segment is screened based on a products, value, SWOT analysis, their ability and other significant features.

Manufacture by region: This Global Ai Platforms Software report offers data on imports and exports, sales, production and key companies in all studied regional markets

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Market Segmentation: By Geographical Analysis

The Middle East and Africa (GCC Countries and Egypt)
North America (the United States, Mexico, and Canada)
South America (Brazil etc.)
Europe (Turkey, Germany, Russia UK, Italy, France, etc.)
Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)

The cost analysis of the Global Ai Platforms Software Market has been performed while keeping in view manufacturing expenses, labor cost, and raw materials and their market concentration rate, suppliers, and price trend. Other factors such as Supply chain, downstream buyers, and sourcing strategy have been assessed to provide a complete and in-depth view of the market. Buyers of the report will also be exposed to a study on market positioning with factors such as target client, brand strategy, and price strategy taken into consideration.

Key questions answered in the report include:

who are the key market players in the Ai Platforms Software Market?
Which are the major regions for dissimilar trades that are expected to eyewitness astonishing growth for the Ai Platforms Software Market?
What are the regional growth trends and the leading revenue-generating regions for the Ai Platforms Software Market?
What will be the market size and the growth rate by the end of the forecast period?
What are the key Ai Platforms Software Market trends impacting the growth of the market?
What are the major Product Types of Ai Platforms Software?
What are the major applications of Ai Platforms Software?
Which Ai Platforms Software Services technologies will top the market in next 7 years?

Table of Contents

Global Ai Platforms Software Market Research Report 2022 - 2029

Chapter 1 Ai Platforms Software Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global Ai Platforms Software Market Forecast

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