Global Market Size, Forecast, and Trend Highlights Over 2025-2037
Artificial Intelligence Software Platform Market size registered a valuation of USD 44.9 billion in 2024 and is poised to reach USD 1.4 trillion by 2037, rising at a CAGR of 30.7% during the forecast period from 2025 to 2037. In 2025, the industry size of artificial intelligence software platforms is estimated USD 56.7 billion
A key driver of the global artificial intelligence software platform market is the substantial investment from the private sector towards advancing AI technologies against the backdrop of the intensifying AI race. For instance, the business R&D Expenditure in the OECD area on AI increased by 2.5%, accounting for 74.2% of total gross domestic expenditure on R&D. The spending has increased considerably from a previous estimate made in 2022 by around 8.0%.
An additional indicator of the AI software platform market’s growth is the rising employment demand for software developers from 2023 to 2033. For instance, the U.S. Bureau of Labor Statistics has estimated a 17.8% increase in employment trends during the same period. Compounding this trend, database administrators and architects are expected to experience a heightened employment rate of 8.3% and 10.7%, respectively. The convergence of these trends reflects the surging requirements to manage complex AI-data infrastructures.
The sector’s expansion is reinforced by the expansion of digital infrastructure across the world. Multiple economies have increased their investments in building a robust digital infrastructure. Another crucial aspect is the global semiconductor trade, which remains the backbone of the artificial intelligence (Ai) software platform market. In 2024, the U.S. Census Bureau reported that semiconductor imports totaled over USD 120 billion. The improving trade, along with the acceleration of AI adoption, ensures a dynamic growth of the global artificial intelligence software platform market by the end of 2037.
Artificial Intelligence Software Platforms Sector: Growth Drivers and Challenges
Growth Drivers
- Integration of AI platforms in government services and public infrastructure: A significant driver of the global AI software platforms sector is the increasing deployment in government services as well as in public infrastructure. The implementations by major federal agencies augur well for the future outlook of the sector, highlighting a systematic transition towards AI-powered smart governance. The integration of AI bolsters service delivery, evident in the rising demand for enterprise-grade AI software platforms.
|
Date |
Agency / Country |
Company |
Contract Summary |
|
Mar 2025 |
U.S. DoD |
BigBear.ai |
Modernizing ORION Decision Support Platform for force management |
|
Mar 2025 |
Defense Innovation Unit (U.S.) |
GovSignals |
AI-powered workflow automation for procurement and reporting |
|
Oct 2024 |
UK Government |
Microsoft |
Deployment of Copilot AI agents across public services |
|
Apr 2025 |
Government of India |
Sarvam AI |
Development of India’s first sovereign LLM under IndiaAI Mission |
- Rapid surge in AI Model licensing and monetization by tech firms: The AI software platforms are bolstered by the monetization of AI models via commercial licensing on software platforms. For instance, OpenAI’s GPT-4 model is now integrated into Microsoft Azure’s AI platform, allowing third-party developers to build robust enterprise solutions with licensed API access. Between 2017 to 2023, AI-related patent applications expanded by 100% as per the U.S. Patent and Trademark Office (USPTO), highlighting an exponential increase in patent-protected AI models, which in turn have propelled the rise of licensable AI products. Additionally, opportunities are predicted to be rife for the deployment of AI software platforms that can facilitate licensing as well as model integration. The commercial deployment demand is expected to rise from both SMEs and Fortune 500 companies by the end of 2037, creating varied profitable segments.
Major Technological Trends Shaping the AI Software Platform Market
The global artificial intelligence software platform market is bolstered by sector-specific technological advancements. Major sectors such as BFSI, manufacturing, healthcare, etc., have been at the forefront of deploying AI software platforms, to bolster operations. A vital technological leap in the sector is the emergence of scalable foundation model fine-tuning, allowing enterprises to adapt to large pretrained models such as Claude and GPT. The table below highlights the impact of AI software platforms:
|
Trend |
Industry |
Adoption Rate / Impact |
Example |
|
AI-Driven Risk Management |
Finance |
58.5% of finance functions used AI in 2024. |
UBS employs AI-generated avatars for delivering research content, boosting efficiency. |
|
AI-Powered Robotics |
Manufacturing |
Addressing the projected 1.8 million worker shortage by 2033. |
Siemens integrates AI and digital twins to modernize manufacturing processes. |
|
AI in Clinical Documentation |
Healthcare |
Investment in AI medical note-taking tools reached $800 million in 2024. |
Microsoft’s Nuance DAX Copilot bolsters clinical documentation efficiency. |
|
AI-Enhanced Customer Service |
Telecommunications |
71% of telecom operators use AI-powered chatbots for customer service. |
Telecom companies report 15.5% increase in customer retention rates through AI analytics. |
Cybersecurity Imperatives in the AI Software Platform Market
The AI software platform’s proliferation has also expanded the threat surface area of cyberattacks. Additionally, the increasing complexity of cyberattacks, such as AI-driven malware and phishing attacks, has ensured a greater push for investments in devising security policies. The table below highlights instances of major cyber attacks impacting companies and recommended actions based on the analysis of the cybersecurity landscape:
|
Company |
Attack Type |
Impact |
Recommended Action |
|
Marks & Spencer (UK) |
Ransomware |
$404M loss; site outage; stock drop |
AI threat detection; vendor audits |
|
Coinbase (USA) |
Insider breach |
$400.4M loss; data leak |
Access control; internal threat monitoring |
|
SFJazz (USA) |
Ransomware |
Event disruption, donor data loss |
Backup systems; vendor compliance |
|
Infosys McCamish (India) |
Data breach |
6.6M records exposed |
MFA; staff training; access monitoring |
Challenges
- Scarcity of industry-specific pretrained models limits platform monetization at scale: A major impediment of the artificial intelligence software platform market is the limited percentage of models with industry-specific training, which in turn puts a constraint on the time-to-value for enterprise users. While general-purpose models, such as GPT, Grok, and BERT, offer foundational capabilities, they tend to lack domain-specific optimization. This limitation causes an increase in the investment required by enterprises for custom data labeling, which in turn lengthens deployment cycles. In a recent report released in 2024, the U.S. National Institute of Standards and Technology (NIST) stated that more than 55% of enterprises in the U.S. reported delays of over 6 months due to the absence of pre-trained models.
Artificial Intelligence Software Platforms Market: Key Insights
| Report Attribute | Details |
|---|---|
|
Base Year |
2024 |
|
Forecast Year |
2025-2037 |
|
CAGR |
30.7% |
|
Base Year Market Size (2024) |
USD 44.9 billion |
|
Forecast Year Market Size (2037) |
USD 1.4 trillion |
|
Regional Scope |
|
AI Software Platforms Segmentation
Deployment Model (Cloud-Based, On-Premise)
The cloud-based deployment model segment in artificial intelligence software platform market is projected to account for a leading share of around 61.7% during the forecast timeline. The segment’s expansion is associated with the cost-efficiency offered by cloud solutions. In addition, the opportunities in the segment are rife due to a heightened adoption of cloud-based AI services, such as NLP, ML, and computer vision APIs, across various sectors. In terms of recent advancements, in 2023, Google Cloud launched a new version of Vertex AI, in a bid to ease the work of developers in deploying and scaling ML models with cloud-based infrastructure.
Technology (Machine Learning, Natural Language Processing, Computer Vision)
The ML segment is projected to hold a considerable share of 37.3% in the AI software platforms sector. A key driver of the segment is the rising demand for ML in sectors such as healthcare and finance. In healthcare, ML algorithms have assisted in improved disease identification, as well as risk assessment. For instance, Google’s DeepMind developed an algorithm that is capable of identifying retinal images of eye disorders, assisting in the improvement of patient outcomes.
Industry Vertical (BFSI, Healthcare, Manufacturing, Retail)
The BFSI sector in artificial intelligence software platform market is expected to experience a large AI software deployment during the forecast period. Key players in the BFSI industry across the world are leveraging AI-based software platforms to automate tasks and improve fraud detection. For instance, the U.S. Department of the Treasury’s Financial Crimes Enforcement Network (FinCEN) highlighted that more than 3.0 million suspicious activity reports were filed by financial institutions in 2023, reflecting opportunities for the deployment of AI software platforms for fraud detection.
Our in-depth analysis of the global artificial intelligence software platform market includes the following segments:
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Deployment Model |
|
|
Technology |
|
|
Enterprise Size |
|
|
Industry Vertical |
|
Vishnu Nair
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Artificial Intelligence Software Platforms Industry - Regional Synopsis
North America Market Forecast
The North America artificial intelligence (Ai) software platform market is projected to account for a leading revenue share of 38.8% by the end of 2037. The regional market’s leading share is propelled by a well-established technology ecosystem as well as the advancements due to the intensifying AI race. For instance, after the launch of DeepSeek in January 2025, the global AI rice became much more competitive, prompting OpenAI to release updated models, i.e., GPT 4 that can process both images and text. The regional market also benefits from a high concentration of AI research hubs and a greater adoption rate across various enterprises.
The U.S. artificial intelligence software platform market is poised to retain its leading share in North America. The market is supported by major federal investments along with supportive regulatory frameworks that encourage R&D in AI. The National Artificial Intelligence Office has reported allocation of over USD 3 billion to AI R&D in FY 2023. Such large sums of investment foster an innovation-centric tech ecosystem in the economy. Additionally, opportunities are set to arise from the finance and healthcare sectors in the country, driving the scope of deployment.
Asia Pacific Market Outlook
The APAC artificial intelligence software platform market is expected to rise at a CAGR of 24.7% throughout the anticipated timeline. A key driver of the APAC market can be attributed to the rising rates of AI adoption. Trends highlight, that the established as well as rapidly emerging economies within APAC, are transitioning to digital economy models, creating a surge in opportunities for the deployment of AI software platforms. Additionally, significant percentage of adoption, by the end of 2037, is expected to emerge from SMEs in the region.
The China artificial intelligence software platform market is projected to hold a major revenue share in APAC. The regional market is bolstered by a national strategy of prioritizing AI as a dynamic component in the country’s economic development. In terms of investment, the Chinese Academy of Cyberspace Studies stated that China attracted more than USD 40 billion in AI investments by the end of 2023. Moreover, leading tech companies in the China artificial intelligence (Ai) software platform market, such as Baidu, Alibaba, and Tencent have invested to expand the scope of AI software platforms in a bid to leverage the surging demand for AI-based solutions from multiple sectors.
Major Players in the Artificial Intelligence Software Platforms Market
- Company Overview
- Business Strategy
- Key Product Offerings
- Financial Performance
- Key Performance Indicators
- Risk Analysis
- Recent Development
- Regional Presence
- SWOT Analysis
The AI software platform market is considered mature in certain segments and evolving in others. The market is also exhibiting sustained growth during the forecast timeline. Major players predominantly from the U.S., such as Microsoft, AWS, Google, Salesforce, etc., are leading in revenue shares. The table below highlights the major players of the global artificial intelligence software platform market:
|
Company Name |
Country |
2024 Revenue Share (%) |
|
Microsoft Corporation |
USA |
18.4% |
|
Amazon Web Services (AWS) |
USA |
16.1% |
|
Google LLC (Alphabet Inc.) |
USA |
15.7% |
|
IBM Corporation |
USA |
12.8% |
|
Salesforce, Inc. |
USA |
9.5% |
|
SAP SE |
Germany |
xx% |
|
Siemens AG |
Germany |
xx% |
|
NEC Corporation |
Japan |
xx% |
|
Fujitsu Limited |
Japan |
xx% |
|
NCS Group |
Singapore |
xx% |
|
Samsung SDS |
South Korea |
xx% |
|
Tata Consultancy Services (TCS) |
India |
xx% |
|
Infosys Limited |
India |
xx% |
|
Datacom Group |
Australia |
xx% |
|
Fusionex International |
Malaysia |
xx% |
Below are the areas covered for each company that is a key player in the artificial intelligence software platforms market:
Recent Developments
- In September 2024, Microsoft launched the GPT-40-2024-08-06 API on Azure. The new advancement allows developers to leverage JSON Schema and specify desired output formats. Additionally, input costs were reduced by over 50% whilst output costs were slashed by 33% in comparison to the previous models.
- In May 2024, IBM announced an expansion of its watsonx AI and data platform on Amazon Web Services. The collaboration with AWS has ensured that greater flexibility is offered to customers in the deployment of AI solutions.
- Report ID: 3000
- Published Date: May 29, 2025
- Report Format: PDF, PPT
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