Global Artificial Intelligence Platform Market, By Component (Tools and Services), Deployment Mode (Cloud and On-Premises), Application (Forecasts and Prescriptive Models, Chat-Bots and Others), End User (Manufacturing, Healthcare and Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2029
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Market Analysis and Insights : Global Artificial Intelligence Platform Market
Data Bridge Market Research analyses that the artificial intelligence platform market will exhibit a CAGR of 32.48% for the forecast period of 2022 to 2029.
Artificial Intelligence (AI) is the creation of ingenious and intelligent computers that behave, react, and respond in the same way as humans do. This is used to develop business abilities on a day-to-day basis. Developing software, choosing robots and drones, autonomous tractors, crop health testing, and automated water network architecture are just a few of the applications that have contributed to the worldwide agricultural artificial intelligence (AIA) market's rapid rise.
The artificial intelligence platform market is growing due to rising demand for AI-based solutions and the proliferation of data generation. Furthermore, the Innovation in Big Data technology, growing trend of adopting AI capabilities in the workstream and improvements in the cloud-storage services are also expected to drive the growth of the artificial intelligence platform market. In addition, the high demand for intelligent business processes and growing innovations across end-users will create ample opportunity for the growth of the artificial intelligence platform market.
However, one of the issues facing the artificial intelligence platform business is a lack of qualified people. Also, the incapability of protecting new forms of attacks will challenge the artificial intelligence platform market.
This artificial intelligence platform market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographical expansions, technological innovations in the market. To gain more info on artificial intelligence platform market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Artificial Intelligence Platform Market Scope and Market Size
Artificial intelligence platform market is segmented on the basis of component, deployment mode, application and end-user. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
On the basis of component, the artificial intelligence platform market can be segmented into tools and services. Tools can be further sub segmented into NLP (natural language processing) and ML (machine language). Services can be further sub segmented into managed and professional.
Based on deployment mode, the artificial intelligence platform market can be segmented into cloud and on-premises.
On the basis of application, the artificial intelligence platform market can be segmented into forecasts and prescriptive models, chat-bots, speech recognition, text recognition, and others. Others are further segmented into face detection and sentiment analysis.
On the basis of end user, the artificial intelligence platform market can be segmented into manufacturing, healthcare, BFSI, research and academia, transportation, retail and e-commerce, and others. Others are further segmented into oil and gas, and advertising.
Artificial Intelligence Platform Market Country Level Analysis
The artificial intelligence platform market is analysed and market size, volume information is provided by country, component, deployment mode, application and end-user as referenced above.
The countries covered in the artificial intelligence platform market report are U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).
North America dominates the artificial intelligence platform market due to the high emphasis on R&D technologies in that area. Asia-Pacific is expected to expand at a significant growth rate over the forecast period of 2022 to 2029 due to rapid technological advancement and rapid expansion of domestic enterprises.
The country section of the artificial intelligence platform market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Artificial Intelligence Platform Market Share Analysis
The artificial intelligence platform market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points are only related to the companies’ focus on the artificial intelligence platform market.
The major players operating in the artificial intelligence platform market report are Microsoft, Google LLC, Salesforce.com, Inc., IBM CORPORATION, Amazon Web Services, Inc., Intel corporation, Ayasdi AI LLC, Hewlett Packard Enterprise Development LP, Qualcomm technologies, Inc., Absolutdata, General vision, Inc., Enlitic, Inc., NEXT IT CORPORATION, icarbonX, Apple, Inc., Facebook, Inc., Siemens AG, General Electric, Micro Technology, Inc., SAMSUNG; among others. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
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Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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