Analyst View
The global generative AI market size was valued at USD 12.5 billion in 2024 and is projected to reach USD 185.0 billion by 2032, growing at a CAGR of 38.6% during the forecast period (2024–2032). Enterprise-wide adoption of large language models (LLMs), rapid scaling of cloud-native AI platforms, and sovereign compute programs across Asia-Pacific and the Middle East are driving sustained demand across every major vertical.
Key Report Takeaways
- By offering, Software held 58.3% revenue share in 2024; Services is projected to book the fastest CAGR of 42.1% through 2032.
- By deployment mode, Public Cloud accounted for 44.8% share in 2024, whereas Hybrid architectures are anticipated to grow at 46.2% CAGR through 2032.
- By technology, Foundation Models (LLMs) controlled 39.7% market share in 2024, while Multimodal AI is forecast to post a 48.5% CAGR through 2032.
- By end-user industry, IT & Telecommunications accounted for 26.4% in 2024; Healthcare is set to expand at a 41.3% CAGR to 2032.
- By geography, North America commanded 38.5% in 2024, and Asia-Pacific is predicted to register a 43.8% CAGR through 2032.
Note: Market size and forecast figures are generated using Eidos Insights' proprietary estimation framework, updated with the latest available data as of January 2026.
Market Trends and Insights
Drivers Impact Analysis
Sovereign AI and national compute programs
Government funding is reshaping local ecosystems. India's IndiaAI Mission has allocated INR 10,372 crore (USD 1.25 billion) toward indigenous language models. Japan is mobilizing JPY 10 trillion for AI semiconductor capacity. Saudi Arabia's NEOM project integrates generative AI across all smart-city verticals.
Explosive growth in enterprise data volume
Industrial IoT rollouts generate terabytes of sensor data daily. Siemens reports 90% touchless invoice processing and USD 5.65 million in annual ROI after embedding generative workflows into its finance operations. Healthcare imaging, autonomous vehicles, and real-time retail transactions all add to the data deluge.
Surging adoption of cloud-native AI platforms
Microsoft's intelligent-cloud revenue run rate surpassed USD 28 billion in Q2 2025. Amazon Web Services plans to deploy USD 100 billion in AI capex over three years. Google Cloud's Vertex AI processed 4.2 billion inference requests per day in December 2025.
Restraints Impact Analysis
GPU and power-grid supply bottlenecks
NVIDIA cited persistent H100/H200 shortages in its FY 2026 outlook, inflating spot prices 30–50% above MSRP and delaying enterprise deployments by 3–6 months. Power utilities in Virginia and Texas forecast data-center electricity demand could hit 1,050 TWh by 2027.
High capex and talent shortages
Experienced MLOps and prompt engineers in Silicon Valley command 20–30% salary premiums versus 2023. The World Economic Forum estimates a global shortfall of 4.7 million AI-skilled professionals by 2028.
Segment Analysis
By Offering: Services acceleration signals market maturation
Software retained 58.3% revenue share in 2024. Yet the Services segment is forecast to race ahead at 42.1% CAGR through 2032 as enterprises demand vendor partnerships that interpret compliance mandates and redesign end-to-end workflows, not just deliver licenses.
By Technology: Multimodal AI disrupts traditional hierarchies
Foundation models (LLMs) captured 39.7% share in 2024, yet Multimodal AI is forecast to surge at 48.5% CAGR through 2032 as enterprises extend use cases from text generation to vision-language reasoning, code synthesis, and autonomous agent frameworks.
Geography Analysis
North America remained the revenue leader with 38.5% share in 2024, driven by deep venture capital pools and rapid enterprise adoption. The CHIPS and Science Act continues to funnel federal funding into AI-ready fabs.
Europe's growth profile is shaped by strict data-privacy regulation and sovereign compute budgets. France's Mistral AI achieved a EUR 6 billion valuation in 2025.
Asia-Pacific is projected to register a 43.8% CAGR through 2032, the fastest worldwide. China's National AI Plan allocates RMB 1.5 trillion by 2030. India earmarks over USD 1.2 billion for national AI compute.
Competitive Landscape
NVIDIA captured above 80% share of AI accelerator shipments and posted USD 44.1 billion revenue in Q1 FY 2026. AMD responded with the Instinct MI325X. On the software side, OpenAI, Anthropic, and Cohere dominate foundation-model APIs. Anthropic tripled annualized revenue to USD 3 billion by December 2025.
Recent Industry Developments
- May 2025: NVIDIA launched its AI Data Platform built on Blackwell GPUs, BlueField DPUs, and Spectrum-X networking.
- April 2025: Amazon Lex V2 updated with Bedrock Knowledge Base and Anthropic Claude 3 Haiku/Sonnet support.
- March 2025: Microsoft established an Azure AI Region in Kuwait with Copilot integration across government.
- February 2025: AMD unveiled Instinct MI325X with 256 GB HBM3E, surpassing NVIDIA H200 on inference benchmarks.
Lead Research Analyst
Dr. Arjun Kapoor
Principal Analyst — AI & Emerging Technologies
Dr. Kapoor brings 14 years of experience in enterprise AI strategy, having previously led technology research at Gartner and McKinsey's Digital practice. He holds a Ph.D. in Machine Learning from MIT and has authored over 40 peer-reviewed publications on neural architecture search and federated learning.
What Our Clients Say
The depth of segmentation analysis was exceptional. We used the competitive positioning matrix to re-evaluate our go-to-market strategy for Southeast Asia — it directly influenced a $12M investment decision.
Eidos Insights' regional forecasts were the most accurate we benchmarked against. Their Asia-Pacific data gave us the confidence to expand our inference infrastructure into Singapore and Mumbai ahead of schedule.
Industry Leaders Profiled
- NVIDIA Corporation
- Microsoft Corporation
- Alphabet Inc. (Google)
- Amazon Web Services, Inc.
- OpenAI, Inc.
- Meta Platforms, Inc.
- Anthropic PBC
- IBM Corporation
- Salesforce, Inc.
- Baidu, Inc.