Here are relevant reports on : generative-ai-coding-market
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Cloud AI Market by Cloud AI Infrastructure (Compute, Storage, Network), AI & ML Platforms (Auto ML), MLOps and Lifecycle Management (AI Workflow Orchestration), AIaaS, Technology (Generative AI and Other AI) - Global Forecast to 2029
The global cloud AI market is projected to reach USD 327.15 billion by 2029 at a CAGR of 32.4 % during the forecast period. Some of the significant cloud AI vendors include Google (US), IBM (US), AWS (US), Microsoft (US), Oracle (US), NVIDIA (US), Salesforce (US), SAP (Germany), Alibaba Cloud (China), HPE (US), and Intel (US).
- Published: December 2024
- Price: $ 4950
- TOC Available:
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AI Platform Market by Offering (Conversational AI, Generative AI, AI Agent, Deep Learning, Edge AI, AI API, MLOps, Data Mesh, Data Science Platforms), Functionality (Data Management, Model Development, Deployment, Training) - Global Forecast to 2030
The AI platform market is witnessing strong growth, projected to rise from around USD 18.22 billion in 2025 to over USD 94.30 billion by 2030, registering a CAGR of nearly 38.9% during the forecast period. The major players in the AI platform market include Google (US), Microsoft (US), IBM (US), AWS (US), Oracle (US), SAP (Germany), OpenAI (US), Intel (US), Infosys (India), and Wipro (India).
- Published: July 2025
- Price: $ 4950
- TOC Available:
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Generative Design in Built Environment Market - Global Forecast to 2030
The generative design in the built environment market is projected to reach USD XX.X billion by 2030, reflecting a robust CAGR of XX.X% during the forecast period. The generative design in built environment solutions and service providers have implemented various organic and inorganic growth strategies, such as new product launches, product upgrades, partnerships, agreements, business expansions, and mergers and acquisitions, to strengthen their offerings in the market. Some major players in the generative design in built environment market include Altair Engineering (US), Autodesk (US), Bentley Systems (US), PTC (US), and Dassault Systèmes (France), along with SMEs and startups such as Graphisoft (Hungary), MakeT.AI (US), NodeBox (Belgium), PreOptima (US), and SrinSoft (India).
- Published: April 2026
- Price: $ 4950
- TOC Available:
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Natural Language Processing (NLP) Market by Offering (Solutions, Services), Type (Rule-based, Statistical, Hybrid), Application (Sentiment Analysis, Social Media Monitoring), Technology (IVR, OCR, Auto Coding), Vertical & Region - Global Forecast to 2028
The global market for natural language processing market is projected to reach USD 68.1 billion by 2028, at a CAGR of 29.3% during the forecast period. The major natural language processing solutions and service providers include IBM (US), Microsoft (US), Google (US), AWS (US), Meta (US), 3M (US), Baidu (China), Apple (US), SAS Institute (US), IQVIA (UK), Oracle (US), Salesforce (US), OpenAI (US), Inbenta (US), LivePerson (US), SoundHound AI (US), MindMeld (US), Veritone (US), Dolbey (US), Automated Insights (US), Bitext (US), Conversica (US), UiPath (US), Addepto (US), RaGaVeRa (India), Observe.ai (US), Eigen (US), Gnani.ai (India), Crayon Data (Singapore), Narrativa (US), deepset (US), Ellipsis Health (US), DheeYantra (US), Verbit.ai (US), Rasa (US), MonkeyLearn (US), TextRazor (England), and Cohere (Canada). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the natural language processingmarket.
- Published: September 2023
- Price: $ 4950
- TOC Available:
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Medical Coding Market by Offering (Software, Outsourcing Services), Classification (ICD, CPT, HCPCS), Specialty (Surgical, Radiology), Function (Code, Assignment, Reimbursement, Analytics, Denial, Audit), End User (Healthcare Providers, Healthcare Payers) - Global Forecast to 2030
The global Medical Coding market, valued at US$8.18 billion in 2024, stood at US$8.91 billion in 2025 and is projected to advance at a resilient CAGR of 9.5% from 2025 to 2030, culminating in a forecasted valuation of US$14.01 billion by the end of the period. The market is growing steadily, driven by the rising volume of healthcare services, increasing adoption of electronic health records (EHRs), and the need for accurate billing and reimbursement.
- Published: March 2026
- Price: $ 4950
- TOC Available:
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AI in Networks Market by Offering (Router & Switches, AI Networking Platform, Management Software, Software Defined Networking), Function (Optimization, Cybersecurity, Predictive Maintenance), Technology (Gen AI, ML, NLP) - Global Forecast to 2029
The global AI in Networks market is expected to grow from USD 10.9 billion in 2024 to USD 46.8 billion by 2029, at a compound annual growth rate (CAGR) of 33.8% during the forecast period.The key players NVIDIA Corporation, Cisco Systems, Inc. (US), Telefonaktiebolaget LM Ericsson (Sweden), Hewlett Packard Enterprise Development LP (US), Arista Networks, Inc. (US).
- Published: August 2024
- Price: $ 4950
- TOC Available:
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AI as a Service Market by Product Type (Chatbots & AI Agents, ML Framework, API, No Code/Low Code Tools, Data Labeling), Service Type (ML as a Service, NLP as a Service, Generative AI as a Service), Business Function, End User - Global Forecast to 2030
The AI as a service (AIaaS) market is projected market USD 91.20 billion by 2030, featuring a CAGR of 35.1% during the forecast period. The major players in the AI as a Service market include Microsoft (US), IBM (US), Google (US), AWS (US), OpenAI (US), NVIDIA (US), Salesforce (US), Oracle (US), SAP (Germany), and HPE (US).
- Published: April 2025
- Price: $ 4950
- TOC Available:
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Generative Design Market by Application (Product Design & Development and Cost Optimization), Component, Deployment Model, Industry Vertical (Automotive, Aerospace & Defense, Industrial Manufacturing), and Region - Global Forecast to 2023
The generative design market size is expected to grow from USD 111 million in 2018 to USD 275 million by 2023, at a CAGR of 19.9% during the forecast period. Factors such as rising need for advanced design software to drive product innovation, growing demand for environment-friendly architecture, and enhanced production efficiency are expected to the drive market during the forecast period. The generative design market comprises major solution providers, such as Autodesk (US), Altair (US), ANSYS (US), MSC Software (US), Dassault Systèmes (France), ESI Group (France), Bentley Systems (US), Desktop Metal (US), nTopology (US), and Paramatters (US). The study includes an in-depth competitive analysis of these key players in the generative design market with their company profiles, recent developments, and key market strategies.
- Published: February 2019
- Price: $ 4950
- TOC Available:
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Artificial Intelligence in Manufacturing Market by Processor (MPUS, GPUs, FPGA, ASICs), Software (On-premises, Cloud), Technology (Machine Learning, NLP, Context-aware Computing, Computer Vision, Generative Al), Application - Global Forecast to 2030
The global AI in manufacturing market is expected to grow from USD 34.18 billion in 2025 to USD 155.04 billion by 2030, at a compound annual growth rate (CAGR) of 35.3% during the forecast period. The Key Players NVIDIA Corporation (US), IBM (US), Siemens (Germany, Intel Corporation (US), and Microsoft (US).
- Published: August 2025
- Price: $ 4950
- TOC Available:
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AI SDR Market by Offering (Email Generators, Enrichment, AI Script, Template Generators, Meeting Booking), Use Case (Appointment Scheduling, Prospecting, Outreach, CRMs, Data Management, Follow up, Research, Sales Engagement) - Global Forecast to 2030
The AI SDR market is expanding rapidly, with a market size projected to rise from about USD 4.12 billion in 2025 to USD 15.01 billion by 2030, registering a CAGR of 29.5%. The major players in the AI SDR market include HubSpot (US), Salesforce (US), 11x AI (UK), Artisan AI (US), Luru (US), AiSDR (US), Lyzr AI (US), Floworks (US), Common Room (US), Salesforge (Estonia), and Qualified (US).
- Published: July 2025
- Price: $ 4950
- TOC Available:
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