Artificial intelligence platforms find applications across various industries, driving the market's growth. AI platforms enable faster and more accurate diagnosis, personalized treatment plans, and drug discovery in healthcare. They facilitate fraud detection, risk assessment, and algorithmic trading in finance. In retail, AI platforms enable personalized shopping experiences, inventory management, and demand forecasting. In manufacturing, they optimize supply chain operations, quality control, and predictive maintenance. In transportation, AI platforms power autonomous vehicles, route optimization, and traffic management. They enhance customer targeting, sentiment analysis, and recommendation systems in marketing. The versatility of AI platforms enables their widespread adoption and contributes to the market's expansion.
According to Data Bridge Market Research, the Global Artificial Intelligence Platform Market will exhibit a CAGR of 32.48% for the forecast period of 2022 to 2029.
“Rising demand for AI-based solutions facilitate market growth”
The rising demand for AI-based solutions is a key driver of the artificial intelligence platform market. Organizations across various industries recognize the potential of Al to revolutionize their operations and enhance decision-making processes. AI offers advanced analytics, predictive modeling, and automation capabilities, enabling businesses to gain valuable insights, improve efficiency, and drive innovation. With the increasing availability of big data and the need for real-time insights, AI-based platforms provide the tools and infrastructure to process and analyze vast amounts of data quickly and accurately. The desire for improved productivity, competitive advantage, and enhanced customer experiences drives the demand for AI-based solutions.
What restraints the growth of the artificial intelligence platform market?
“Lack of qualified individuals with expertise”
The artificial intelligence platform market is being restrained due to a lack of qualified individuals with expertise in this field. The rapid growth and increasing demand for AI technologies have created a shortage of skilled professionals who can effectively develop, deploy, and maintain AI platforms. This scarcity of talent limits the industry's potential for expansion and innovation. Organizations face challenges in finding qualified AI experts, leading to a talent gap and hindering the adoption and advancement of AI platforms. Bridging this skills gap through education, training programs, and attracting top talent becomes crucial for the growth of the AI platform market.
Segmentation: Artificial Intelligence Platform Market
The artificial intelligence platform market is segmented on the basis of component, deployment mode, application, and end-user.
- On the basis of component, the artificial intelligence platform market can be segmented into tools and services.
- On the basis of 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, and others.
- 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.
Regional Insights: North America dominates the artificial intelligence platform market
North America's dominance in the artificial intelligence (AI) platform market can be attributed to its strong emphasis on research and development (R&D) in technological advancements. The region boasts a thriving ecosystem of AI startups, research institutions, and tech giants, fostering innovation and driving the adoption of AI platforms. Additionally, North America benefits from a mature and developed market, with established industries across various sectors that readily embrace AI solutions.
Asia-Pacific is experiencing rapid technological advancement and witnessing the expansion of domestic enterprises, driving the demand for AI platforms. The region's growing population, digital transformation initiatives, and increasing investments in AI research and development contribute to its significant growth potential in the AI platform market.
To know more about the study visit, https://www.databridgemarketresearch.com/reports/global-artificial-intelligence-platform-market
The Prominent Key Players Operating in the Global Artificial Intelligence Platform Market Include:
- Microsoft (U.S.)
- Google LLC (U.S.)
- Salesforce.com, Inc. (U.S.)
- IBM Corporation (U.S.)
- Amazon Web Services, Inc. (U.S.)
- Intel Corporation (U.S.)
- Ayasdi AI LLC (U.S.)
- Hewlett Packard Enterprise Development LP (U.S.)
- Qualcomm Technologies, Inc. (U.S.)
- Absolutdata (U.S.)
- General Vision, Inc. (U.S.)
- Enlitic, Inc. (U.S.)
- NEXT IT CORPORATION (U.S.)
- iCarbonX (China)
- Apple, Inc. (U.S.)
- Facebook, Inc. (U.S.)
- Siemens AG (Germany)
- General Electric (U.S.)
- Micro Technology, Inc. (U.S.)
- Samsung (South Korea)
Above are the key players covered in the report, to know about more and exhaustive list of global artificial intelligence platform market companies contact, https://www.databridgemarketresearch.com/contact
Research Methodology: Global Artificial Intelligence Platform Market
Data collection and base year analysis are done using data collection modules with large sample sizes. The market data is analyzed and estimated using market statistical and coherent models. In addition, market share analysis and key trend analysis are the major success factors in the market report. 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. Apart from this, data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, global vs Regional and Vendor Share Analysis. Please request analyst call in case of further inquiry.
