AI Platform Market Size, Share and Global Forecast to 2030

Overview

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. According to GitHub’s Octoverse Report 2023, 92 million AI-focused repositories were created globally in 2023, reflecting the increasing reliance on AI development platforms and tools. Stack Overflow’s 2024 survey further highlights that 44% of professional developers utilize AI-assisted development tools in their workflows. In Anthropic’s analysis of 500,000 developer-AI interactions, over 59% of AI requests involved web-focused languages primarily targeting user interface development.

The segments positively impacting the market include AI development frameworks, automated machine learning (AutoML), MLOps platforms, and no-code/low-code AI solutions, which enable faster model deployment and operational scalability. The proliferation of generative AI, mainly large language models, is transforming platform capabilities, streamlining code generation and content development. The rise of cloud-based AI platforms is also fueling adoption across SMEs and enterprises, positioning AI platform solutions as critical enablers of automation and digital transformation across key industries.

Attractive Opportunities in the AI Platform Market

ASIA PACIFIC

Asia Pacific will witness the fastest growth in the AI platform market due to rapid digital transformation, rising AI adoption across industries, expanding 5G infrastructure, and supportive government initiatives. The surge in AI-powered startups, talent availability, and increasing investment in AI research are accelerating AI platform deployment across manufacturing, BFSI, retail, and healthcare sectors.

AI platforms simplify model development, reduce operational complexity, and support faster experimentation. They accelerate the adoption of generative AI and reinforcement learning, improving outcomes in demand forecasting, customer service, quality control, and marketing, enabling scalable AI deployments.

Vendors in the AI platform market are innovating in NLP, computer vision, and predictive analytics. These solutions help businesses automate operations, enhance customer experiences, and drive measurable efficiency and revenue improvements across industries.

AI development platforms offer tools for model building, training, and optimization, enabling faster experimentation and innovation. These platforms handle large datasets and complex algorithms efficiently, improving AI model accuracy, reliability, and scalability across industries.

The global AI platform market is driven by cloud advancements, demand for automated machine learning, and rising data-driven decision-making. The focus on democratizing AI through low-code/no-code platforms and AI-as-a-Service (AIaaS) further supports adoption among enterprises of all sizes.

Global AI Platform Market Dynamics

Driver: Demand for cross-model orchestration and agentic workflow integration

The rising demand for multi-model and multi-agent orchestration is fundamentally reshaping the AI platform landscape. As organizations move beyond simple chatbot applications, they are deploying complex, goal-oriented agentic workflows such as retrieval-augmented generation (RAG), tool-using agents, and chained LLM systems. These workflows often require seamless integration of multiple AI models, third-party APIs, internal knowledge bases, and specialized plugins. The growing complexity demands orchestration layers that can manage dependencies, passing context between agents, and ensuring consistent task execution across heterogeneous components. This orchestration is critical for scalability and efficiency. For instance, a single AI workflow might involve one model for natural language understanding, another for code generation, and a third for reasoning, each selected for its strengths.

The platform must coordinate these components in real time, manage context memory, and handle fallback or escalation strategies. Businesses also seek modularity and interoperability to avoid vendor lock-in, driving demand for open, extensible platforms that support diverse models and tools. AI platforms that provide robust orchestration capabilities become foundational infrastructure, enabling enterprises to build adaptive, intelligent systems that operate autonomously and handle complex tasks across domains. This capability is quickly emerging as a competitive differentiator in enterprise AI adoption.

Restraint: High inference and fine-tuning costs

High inference and fine-tuning costs pose a major restraint in the AI platform market, particularly for small and mid-sized enterprises (SMEs). While AI platforms promise scalable and customizable solutions, the underlying computational demands, mainly for model training, fine-tuning, and real-time inference, remain expensive despite optimizations. Most platforms are built with large enterprises in mind, offering powerful but resource-intensive tools that require significant cloud compute or on-prem infrastructure. For SMEs, these costs often exceed available budgets, making it difficult to go beyond experimentation into production. Even when parameter-efficient methods or pre-trained models are offered, the total cost of ownership, including data preparation, integration, deployment, and ongoing model monitoring, can be prohibitive.

As a result, many SMEs either delay adoption, limit their use to basic features, or avoid AI platforms entirely in favour of simpler, lower-cost solutions. This creates a market imbalance where platform growth is concentrated among large enterprises, reducing overall market diversity and slowing ecosystem development. Until AI platforms introduce more cost-effective tiers, lightweight deployment options, or pricing models tailored for smaller organizations, a large portion of the addressable market will remain underserved and hesitant to commit to full-scale AI adoption.

Opportunity: Fusion of AI Platforms with Business Automation Stacks

The fusion of AI platforms with business automation stacks such as robotic process automation (RPA), business process management (BPM), and workflow automation presents a powerful opportunity in the AI platform market. By integrating AI into these systems, businesses can move from basic, rule-based automation to intelligent process orchestration that adapts in real time. AI brings cognitive capabilities such as natural language understanding, predictive analytics, and decision optimization, which dramatically improve the speed, accuracy, and flexibility of automated workflows. For instance, AI-enhanced RPA bots can process unstructured documents, understand exceptions, make context-aware decisions, significantly reducing manual intervention.

BPM systems, when infused with AI, can self-optimize based on live data streams and performance metrics, making business operations more agile and responsive. This integration is valuable in data-heavy industries such as finance, insurance, logistics, and healthcare, where operational efficiency and compliance are critical. As demand grows for end-to-end automation that goes beyond routine task execution, AI vendors offering plug-and-play compatibility with automation tools will gain a competitive edge. Platforms that deliver seamless orchestration between intelligence and automation will be well-positioned to attract enterprise buyers looking to drive digital transformation on a scale.

Challenge: Platform Fatigue from Toolchain Fragmentation

Enterprises building and deploying AI systems often rely on a patchwork of specialized tools for data annotation, model training, performance monitoring, deployment, and governance. While these tools may each offer advanced functionality, managing numerous disconnected solutions creates major operational inefficiencies. Teams must navigate different interfaces, APIs, and workflows, increasing onboarding complexity and making collaboration more difficult. This toolchain fragmentation leads to platform fatigue, where developers and data scientists become overwhelmed by the constant context switching and integration work required to keep systems functioning.

Additionally, version mismatches, inconsistent metadata standards, and disjointed observability can slow iteration and introduce gaps in traceability. As organizations scale their AI efforts, this fractured tooling ecosystem becomes a liability, introducing delays, higher costs, and a growing risk of deployment errors or compliance failures. There is a clear need for platforms to evolve into integrated, end-to-end environments that reduce the burden of stitching systems together. Unified platforms can streamline workflows, centralize control, and improve usability, mainly for cross-functional teams. Without this shift, fragmented toolchains could become a limiting factor for enterprise AI, making it harder to achieve repeatable, scalable, and reliable outcomes in production environments.

Global AI Platform Market Ecosystem Analysis

The AI platform market ecosystem comprises four major segments: AI development platforms, AI lifecycle management platforms, AI infrastructure & enablement, and AI platform services. These categories include tools and platforms for building, training, and deploying AI models (development platforms), managing AI workflows and governance (lifecycle management platforms), hardware and cloud resources (infrastructure & enablement), and AI platform service providers offering consulting, deployment, and integration solutions (services). The ecosystem functions as an integrated network where providers collaborate across the AI value chain, from foundational development to model governance and business enablement, driving intelligent automation, innovation acceleration, and enterprise AI adoption.

Note: The above diagram only shows the representation of the AI Platform Market ecosystem; it is not limited to the companies represented above.
Source: Secondary Research and MarketsandMarkets Analysis

AI development platform offering segment is expected to hold the largest market share during the forecast period

AI development platforms are expected to hold the largest market share within the AI platform market as they enable enterprises to build, train, and deploy AI models efficiently across diverse applications. These platforms offer pre-built frameworks, integrated development environments, and modular toolkits that simplify complex AI development processes, making them accessible to organizations without extensive in-house AI expertise. The surge in demand for AI-powered automation, predictive analytics, natural language processing, and computer vision solutions across healthcare, BFSI, retail, and manufacturing sector further accelerates their adoption. Additionally, growing investments in generative AI, large language models, and machine learning operations (MLOps) are pushing organizations to seek scalable development platforms that support rapid experimentation, content generation, and deployment.

Major technology providers enhance their platforms with low-code interfaces, pre-trained models, multi-cloud deployment capabilities, and compliance-ready solutions, expanding their usability for technical and non-technical users. The need to address diverse data environments and integrate AI across workflows is positioning development platforms as the foundation for modern AI strategies. These factors collectively contribute to the dominant market share of AI development platforms in the overall AI platform market, driven by their versatility, scalability, and strategic relevance across industries.

Model deployment & serving functionality segment is expected to account for the fastest growth rate during the forecast period

The model deployment & serving functionality segment is projected to witness the highest growth rate in the AI platform market due to the increasing focus of organizations on operationalizing AI models at scale. While model development is critical, businesses are now prioritizing the transition from prototypes to production-ready solutions that deliver real-time insights and automation across various use cases. Model deployment and serving tools simplify this transition by providing scalable infrastructure, automated versioning, and seamless API-based integrations, enabling AI models to be efficiently deployed in live environments. The growing adoption of edge AI and hybrid cloud environments further amplifies the need for flexible deployment solutions that can handle varied infrastructure setups.

Additionally, the rise of continuous learning models, real-time inferencing, AI-as-a-Service models, and generative AI is driving demand for robust deployment frameworks that support content generation, low-latency responses, and scalable outputs. Enterprises are focusing on cost-optimization and compliance, driving demand for deployment functionalities that ensure model monitoring, retraining, and governance in production settings. With AI strategies shifting from experimentation to value generation, the emphasis on deploying and operationalizing models is becoming central to enterprise AI roadmaps. This shift is fueling the rapid growth of model deployment and serving solutions across industries worldwide.

Asia Pacific is set to experience the fastest growth during the forecast period

Asia Pacific is projected to witness the highest growth rate in the AI platform market during the forecast period due to several interlinked factors. Rapid digital transformation across key economies such as China, India, Japan, and South Korea is driving extensive adoption of AI development tools, no-code and low-code platforms, machine learning frameworks, and generative AI technologies. Government initiatives such as China’s Next Generation AI Development Plan and India’s National AI Strategy are fueling significant public and private investments to build AI capabilities, encouraging startups and enterprises to leverage AI platforms for automation, analytics, content generation, and innovation. The presence of a large and digitally active population is creating vast data pools, further enhancing demand for AI-driven solutions.

In addition, the increasing focus of manufacturing, healthcare, BFSI, and retail industries on automating operations and improving customer experiences is leading to higher adoption of AI platforms. Many global AI platform vendors are expanding their regional presence through partnerships, investments, and local data centers to tap into the growing demand. The region’s cost-effective talent pool in data science and software development, along with improving digital infrastructure, makes Asia Pacific a highly attractive market for AI platform providers, supporting its position as the fastest-growing regional market globally.

HIGHEST CAGR MARKET TILL 2030

INDIA FASTEST GROWING MARKET IN THE REGION

Recent Developments of AI Platform Market

In May 2025, Google partnered with SAP to integrate Vertex AI into SAP’s cloud solutions, enabling advanced AI-powered analytics and forecasting.

In March 2025, Microsoft extended its partnership with the Government of Kuwait to accelerate AI transformation in line with Kuwait’s Vision 2035. A key aspect of this collaboration was the intent to establish an AI-powered Azure Region in Kuwait to boost local AI capabilities and drive economic growth.

In March 2025, IBM leveraged NVIDIA’s AI data platform technologies to accelerate AI at scale. This collaboration improved how enterprises discover, use, and deploy AI. IBM integrated NVIDIA’s AI platform with its Watson AI and data platform, offering optimized infrastructure and software for AI workloads.

In March 2025, Oracle and NVIDIA collaborated to help enterprises accelerate AI inference. NVIDIA's AI Enterprise software will be natively available through the Oracle Cloud Infrastructure (OCI) Console, providing access to over 160 AI tools and 100+ NVIDIA NIM microservices. The companies are also working on no-code AI Blueprint deployment and accelerating AI vector search in Oracle Database 23ai using NVIDIA cuVS.

Key Market Players

List of Top AI Platform Market Companies

The AI Platform Market is dominated by a few major players that have a wide regional presence. The major players in the AI Platform Market are

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Scope of the Report

Report Attribute	Details
Market size available for years	2020–2030
Base year considered	2024
Forecast period	2025–2030
Forecast units	USD (Million)
Segments Covered	Offering, Functionality, User Type, End User, and Region
Regions covered	North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Key Questions Addressed by the Report

What is an AI platform?

An AI platform refers to software frameworks, development tools, and infrastructure that enable organizations to build, train, deploy, and manage artificial intelligence models and applications across various industries and use cases.

What is driving growth in the AI platform market?

The growth is driven by increasing demand for AI-based automation, adoption of no-code/low-code platforms, expanding digital transformation initiatives, and supportive government policies across sectors like healthcare, BFSI, manufacturing, and retail.

What are the key components of AI platforms?

Core components include machine learning frameworks, data science platforms, no-code and low-code AI development tools, model training environments, and deployment solutions, which enable organizations to build, manage, and scale AI applications efficiently.

Who are the major users of AI platforms?

Key users include enterprises in BFSI, healthcare, retail, manufacturing, telecom, and logistics sectors seeking to automate processes, enhance customer experience, optimize operations, and drive predictive analytics using AI capabilities.

How do no-code and low-code tools impact the AI platform market?

No-code and low-code tools democratize AI adoption by enabling non-technical users to develop AI solutions, accelerating deployment, reducing development time, and expanding the customer base for AI platform providers.

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TITLE

PAGE NO

INTRODUCTION

RESEARCH METHODOLOGY

EXECUTIVE SUMMARY

PREMIUM INSIGHTS

MARKET OVERVIEW AND INDUSTRY TRENDS

5.1 INTRODUCTION
5.2 MARKET DYNAMICS

DRIVERS

- Demand for cross-model orchestration and agentic workflow integration

- Adoption of domain-tuned foundation models with compliance-ready pipelines

- Enterprise migration from model prototyping to productization

RESTRAINTS

- Platform redundancy and feature saturation

- Lack of evaluation standards for generative AI

- High inference and fine-tuning costs for SMEs

OPPORTUNITIES

- Fusion of AI platforms with business automation stacks

- Middleware abstraction for model interoperability

- Accelerating AI development with privacy-first synthetic data

CHALLENGES

- Regulatory burden on model deployment

- Platform fatigue from toolchain fragmentation
5.3 EVOLUTION OF AI PLATFORM MARKET
5.4 SUPPLY CHAIN ANALYSIS
5.5 ECOSYSTEM ANALYSIS

AI PLATFORM MARKET, BY OFFERING

- AI Development Platforms

- AI Lifecycle Management Platforms

- AI Infrastructure & Enablement
5.6 TECHNOLOGY ANALYSIS

KEY TECHNOLOGIES

- Generative AI

- Autonomous AI & Autonomous Agents

- AutoML

- Causal AI

- MLOps

COMPLEMENTARY TECHNOLOGIES

- Blockchain

- Edge Computing

- Cybersecurity

ADJACENT TECHNOLOGIES

- Predictive Analytics

- IoT

- Big Data

- Augmented Reality/Virtual Reality
5.7 CASE STUDY ANALYSIS

CASE STUDY 1: IMERYS DEPLOYED ENTERPRISE AI CHAT TO BOOST PRODUCTIVITY AND DATA ACCESS

CASE STUDY 2: BASISAI AUTOMATED ML DEPLOYMENT TO SPEED UP AI DEVELOPMENT LIFECYCLE

CASE STUDY 3: AT&T LEVERAGED AI PLATFORM TO COMBAT FRAUD AND IMPROVE NETWORK EFFICIENCY

CASE STUDY 4: BMW DEPLOYED GEN AI FOR SMARTER PROCUREMENT ANALYSIS

CASE STUDY 5: MOVEWORKS DEPLOYED AI PLATFORM TO AUTOMATE EMPLOYEE SUPPORT AT SCALE
5.8 PORTER’S FIVE FORCES ANALYSIS

THREAT OF NEW ENTRANTS

THREAT OF SUBSTITUTES

BARGAINING POWER OF SUPPLIERS

BARGAINING POWER OF BUYERS

INTENSITY OF COMPETITIVE RIVALRY
5.9 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
5.10 REGULATORY LANDSCAPE

REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS

REGULATIONS: ARTIFICIAL INTELLIGENCE

- North America

- Europe

- Asia Pacific

- Middle East & Africa

- Latin America
5.11 PATENT ANALYSIS

METHODOLOGY

PATENTS FILED, BY DOCUMENT TYPE

INNOVATION AND PATENT APPLICATIONS
5.12 INVESTMENT AND FUNDING SCENARIO
5.13 PRICING ANALYSIS

AVERAGE SELLING PRICE OF OFFERING, BY KEY PLAYER, 2025

INDICATIVE PRICING ANALYSIS, BY FUNCTIONALITY, 2025
5.14 KEY CONFERENCES AND EVENTS (2025–2026)
5.15 KEY STAKEHOLDERS AND BUYING CRITERIA

KEY STAKEHOLDERS IN BUYING PROCESS

BUYING CRITERIA
5.16 CUSTOMER SEGMENTATION & BUYER PERSONAS

KEY BUYER ARCHETYPES

KEY INDUSTRY-SPECIFIC BUYER SEGMENTATION

BUYER JOURNEY MAPPING
5.17 TECHNOLOGY ROADMAP & INNOVATION DIRECTIONS

TECHNOLOGY ROADMAP & CAPABILITY AREA

AI PLATFORM CAPABILITY MATURITY FRAMEWORK
5.18 PARTNERSHIPS & ECOSYSTEM STRATEGIES

PARTNERSHIPS & ECOSYSTEM STRATEGIES
5.19 KEY SUCCESS FACTORS FOR BUYERS

CHECKLIST FOR SUSTAINABLE AND STRATEGIC AI PLATFORM INVESTMENTS

AI PLATFORM MARKET, BY OFFERING

6.1 INTRODUCTION

OFFERINGS: AI PLATFORM MARKET DRIVERS
6.2 AI DEVELOPMENT PLATFORMS

AI DEVELOPMENT PLATFORMS EMPOWER FASTER, SCALABLE AI APPLICATION DEVELOPMENT, DRIVING INNOVATION AND OPERATIONAL EFFICIENCY ACROSS INDUSTRIES

DEEP LEARNING PLATFORMS

GENERATIVE AI PLATFORMS

CONVERSATIONAL AI PLATFORMS

EDGE AI PLATFORMS

AI AGENT PLATFORMS

ANNOTATION & DATA LABELING PLATFORMS

OPEN-SOURCE MODEL PLATFORMS
6.3 AI LIFECYCLE MANAGEMENT PLATFORMS

AI LIFECYCLE MANAGEMENT PLATFORMS ENSURE SCALABLE, COMPLIANT, AND RELIABLE AI DEPLOYMENTS, DRIVING ENTERPRISE READINESS FOR PRODUCTION-GRADE AI

MLOPS PLATFORMS

LLMOPS PLATFORMS

MODEL EVALUATION & GOVERNANCE PLATFORMS

DRIFT DETECTION & MONITORING PLATFORMS

EXPLAINABILITY & RESPONSIBLE AI TOOLS
6.4 AI ENABLEMENT SERVICES

AI ENABLEMENT SERVICES GUIDE ENTERPRISES THROUGH STRATEGY, DEPLOYMENT, AND MANAGEMENT OF AI, ACCELERATING ADOPTION WHILE REDUCING RISKS AND COMPLEXITIES

STRATEGIC AI PLANNING

MODEL DEVELOPMENT & DEPLOYMENT

MODEL IMPLEMENTATION & MAINTENANCE

DISCOVERY AND EVALUATION

AI PLATFORM MARKET, BY FUNCTIONALITY

107

7.1 INTRODUCTION

FUNCTIONALITIES: AI PLATFORM MARKET DRIVERS
7.2 DATA MANAGEMENT & PREPARATION

ENABLE ACCURATE, COMPLIANT, AND SCALABLE AI PROJECTS WITH STRONG DATA MANAGEMENT AND PREPARATION TOOLS
7.3 MODEL DEVELOPMENT & TRAINING

ACCELERATE AI INNOVATION WITH EFFICIENT, SCALABLE, AND COLLABORATIVE MODEL DEVELOPMENT AND TRAINING CAPABILITIES
7.4 MODEL DEPLOYMENT & SERVING

ENSURE RELIABLE, FLEXIBLE, AND REAL-TIME AI DELIVERY WITH ADVANCED MODEL DEPLOYMENT AND SERVING FUNCTIONALITIES
7.5 MONITORING & MAINTENANCE

MAINTAIN HIGH-PERFORMING, RISK-RESILIENT AI SYSTEMS WITH PROACTIVE MONITORING AND MAINTENANCE TOOLS
7.6 MODEL GOVERNANCE & COMPLIANCE

ENSURE RESPONSIBLE, AUDITABLE, AND COMPLIANT AI OPERATIONS WITH EMBEDDED GOVERNANCE FUNCTIONALITIES
7.7 MODEL FINE-TUNING & PERSONALIZATION

ACHIEVE HIGHER ACCURACY AND PERSONALIZATION WITH EFFICIENT FINE-TUNING AND CUSTOMIZATION FUNCTIONALITIES
7.8 EXPLAINABILITY & BIAS TOOLS

ENHANCE AI TRUSTWORTHINESS AND FAIRNESS WITH ADVANCED EXPLAINABILITY AND BIAS MITIGATION TOOLS
7.9 SECURITY & PRIVACY

SECURE AI DEPLOYMENTS WITH PRIVACY-PRESERVING TECHNOLOGIES AND ROBUST CYBERSECURITY PROTECTIONS

AI PLATFORM MARKET, BY USER TYPE

118

8.1 INTRODUCTION

USER TYPES: AI PLATFORM MARKET DRIVERS

DATA SCIENTISTS & ML ENGINEERS

- Building differentiated models using open frameworks and proprietary data

MLOPS/AI ENGINEERS

- Automating lifecycle management for scalable model operations

BUSINESS ANALYSTS & CITIZEN DEVELOPERS

- Unlocking business value through no-code AI enablement

AI PRODUCT MANAGERS

- Connecting model performance to product and customer impact

IT & CLOUD ARCHITECTS

- Deploying secure, compliant infrastructure for enterprise-scale AI

AI PLATFORM MARKET, BY END USER

126

9.1 INTRODUCTION

END USERS: AI PLATFORM MARKET DRIVERS
9.2 ENTERPRISES

HEALTHCARE & LIFE SCIENCES

- AI platforms transforming healthcare and life sciences by enhancing diagnostics, accelerating drug development, and enabling personalized, data-driven care delivery

- Healthcare providers

- Pharmaceuticals & biotech sector

- Medtech

BFSI

- BFSI organizations leveraging AI platforms to drive intelligent automation, enhance fraud prevention, and offer personalized financial services at scale

- Banking

- Financial services

- Insurance

RETAIL & E-COMMERCE

- Retail & e-commerce firms use AI platforms to personalize customer journeys, streamline operations, and drive smarter inventory and pricing decisions.

TRANSPORTATION & LOGISTICS

- AI enhances fleet efficiency and real-time supply chain visibility

AUTOMOTIVE & MOBILITY

- AI platforms transforming automotive industry by enabling autonomous features, predictive maintenance, and real-time vehicle intelligence

TELECOMMUNICATIONS

- Telecom companies use AI platforms to automate network management, enable predictive maintenance, and deploy intelligent customer services

GOVERNMENT & DEFENSE

- AI platforms enabling governments and defense agencies to build secure, scalable AI solutions for intelligence, public safety, and operational planning

ENERGY & UTILITIES

- AI platforms help energy and utility providers optimize grid operations, forecast demand, and manage assets through centralized, scalable model deployment

- Oil and gas

- Power generation

- Utilities

MANUFACTURING

- AI platforms enable manufacturers to automate production, predict equipment failures, and improve quality control

- Discrete manufacturing

- Process manufacturing

SOFTWARE & TECHNOLOGY

- AI platforms accelerating model development, testing, and deployment for tech firms building intelligent applications

MEDIA & ENTERTAINMENT

- AI platforms help media companies personalize content, automate editing, and optimize distribution

OTHER ENTERPRISE END USERS
9.3 INDIVIDUAL USERS

AI PLATFORMS EMPOWER INDIVIDUAL USERS WITH TOOLS FOR LOW-CODE MODEL BUILDING, DATA EXPLORATION, AND PERSONAL AUTOMATION

AI PLATFORM MARKET, BY REGION

146

10.1 INTRODUCTION
10.2 NORTH AMERICA

NORTH AMERICA: AI PLATFORM MARKET DRIVERS

NORTH AMERICA: MACROECONOMIC OUTLOOK

US

- Federal mandates and hyperscaler innovation drive enterprise-grade AI platform adoption

CANADA

- Ethical AI leadership and public-sector investments fuel Canada's pragmatic platform growth
10.3 EUROPE

EUROPE: AI PLATFORM MARKET DRIVERS

EUROPE: MACROECONOMIC OUTLOOK

UK

- UK blends AI safety leadership with targeted platform deployment in health and finance

GERMANY

- Germany integrates AI platforms into smart manufacturing via deep industrial digitalization

FRANCE

- France prioritizes sovereign AI platforms with open-source momentum and industrial backing

ITALY

- Driving integration of climate and environmental risks into financial governance in Italy

SPAIN

- Spain champions inclusive AI platforms through public-sector innovation and smart logistics

REST OF EUROPE
10.4 ASIA PACIFIC

ASIA PACIFIC: AI PLATFORM MARKET DRIVERS

ASIA PACIFIC: MACROECONOMIC OUTLOOK

CHINA

- China scales sovereign AI platforms across industries under national compute and LLM push

JAPAN

- Japan focuses on trusted, explainable AI platforms for aging society and industrial resilience

INDIA

- India advances inclusive, mobile-first AI platforms for public health, agriculture, and education

AUSTRALIA & NEW ZEALAND

- Australia and New Zealand embed ethics and sustainability into government-led AI platforms

ASEAN

- ASEAN scales modular AI platforms via SME enablement and regional policy coordination

SOUTH KOREA

- South Korea drives enterprise-grade AI platforms with edge inferencing and HyperCLOVA integration

REST OF ASIA PACIFIC
10.5 MIDDLE EAST & AFRICA

MIDDLE EAST & AFRICA: AI PLATFORM MARKET DRIVERS

MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK

SAUDI ARABIA

- Sovereign AI investments and Arabic LLMs drive platform adoption across sectors

UNITED ARAB EMIRATES (UAE)

- Innovation hubs and sovereign cloud investments accelerate AI platform commercialization

SOUTH AFRICA

- Telecom-driven edge AI and enterprise digitalization expand platform opportunities

TURKEY

- Public AI initiatives and academic R&D spur demand for ML platforms and edge AI

QATAR

- State-driven AI adoption focuses on Arabic NLP and smart city platforms

EGYPT

- AI platform adoption tied to public sector digitalization and telecom-led edge deployments

KUWAIT

- Digital government initiatives drive demand for conversational AI and LLM platforms

REST OF MIDDLE EAST & AFRICA
10.6 LATIN AMERICA

LATIN AMERICA: AI PLATFORM MARKET DRIVERS

LATIN AMERICA: MACROECONOMIC OUTLOOK

BRAZIL

- Digital government initiatives and enterprise AI investments drive platform commercialization

MEXICO

- Financial services and public digitalization initiatives accelerate AI platform deployment

ARGENTINA

- Public sector AI adoption and academic partnerships foster platform experimentation

CHILE

- Public innovation programs and cloud expansion stimulate AI platform adoption

REST OF LATIN AMERICA

COMPETITIVE LANDSCAPE

200

11.1 OVERVIEW
11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022–2025
11.3 REVENUE ANALYSIS, 2020–2024
11.4 MARKET SHARE ANALYSIS, 2024

MARKET RANKING ANALYSIS
11.5 PRODUCT COMPARATIVE ANALYSIS

PRODUCT COMPARATIVE ANALYSIS OF AI PLATFORMS
11.6 COMPANY VALUATION AND FINANCIAL METRICS
11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024

STARS

EMERGING LEADERS

PERVASIVE PLAYERS

PARTICIPANTS

COMPANY FOOTPRINT: KEY PLAYERS, 2024

- Company Footprint

- Regional Footprint

- Offering Footprint

- Functionality Footprint

- End User Footprint
11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024

PROGRESSIVE COMPANIES

RESPONSIVE COMPANIES

DYNAMIC COMPANIES

STARTING BLOCKS

COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024

- Detailed list of key startups/SMEs

- Competitive benchmarking of key startups/SMEs
11.9 COMPANY EVALUATION MATRIX: AI ENABLEMENT SERVICES, 2024

PROGRESSIVE COMPANIES

RESPONSIVE COMPANIES

DYNAMIC COMPANIES

STARTING BLOCKS

COMPETITIVE BENCHMARKING: AI ENABLEMENT SERVICES, 2024

- Detailed list of key AI enablement services

- Competitive benchmarking of AI enablement services
11.10 COMPETITIVE SCENARIO AND TRENDS

PRODUCT LAUNCHES AND ENHANCEMENTS

DEALS

COMPANY PROFILES

227

12.1 INTRODUCTION
12.2 MAJOR PLAYERS

GOOGLE

- Business overview

- Products offered

- Recent developments

- MnM view

MICROSOFT

- Business overview

- Products offered

- Recent developments

- MnM view

IBM

- Business overview

- Products offered

- Recent developments

- MnM view

ORACLE

- Business overview

- Products offered

- Recent developments

- MnM view

AWS

- Business overview

- Products offered

- Recent developments

- MnM view

INTEL

- Business overview

- Products offered

- Recent developments

SALESFORCE

- Business overview

- Products offered

- Recent developments

SAP

- Business overview

- Products offered

- Recent developments

SERVICENOW

- Business overview

- Products offered

- Recent developments

NVIDIA

- Business overview

- Products offered

- Recent developments

OPENAI

ALIBABA CLOUD

HPE

DATABRICKS

INSIGHT

PALANTIR

ALTAIR

DATAIKU
12.3 STARTUP/SME PROFILES

H2O.AI

ANTHROPIC

COHERE

ANYSCALE

DATAROBOT

VITAL AI

RAINBIRD TECHNOLOGIES

ARIZE AI

CALYPSOAI

CLARIFAI

WEIGHTS & BIASES

ELVEX

IGUAZIO

MISTRAL AI

BASETEN

LIGHTNING AI

PROWESS CONSULTING

DEVTECH

ZYXWARE TECHNOLOGIES

FLUIDONE

AHELIOTECH

ORIL

CONVERSANT SOLUTIONS

ADJACENT AND RELATED MARKETS

304

13.1 INTRODUCTION
13.2 AI TOOLKIT MARKET - GLOBAL FORECAST TO 2028

MARKET DEFINITION

MARKET OVERVIEW

- AI toolkit market, by offering

- AI toolkit market, by technology

- AI toolkit market, by vertical

- AI toolkit market, by region
13.3 NO-CODE AI PLATFORMS MARKET - GLOBAL FORECAST TO 2029

MARKET DEFINITION

MARKET OVERVIEW

- No-code AI platforms market, by offering

- No-code AI platforms market, by technology

- No-code AI platforms market, by data modality

- No-code AI platforms market, by application

- No-code AI platforms market, by vertical

- No-code AI platforms market, by region

APPENDIX

316

14.1 DISCUSSION GUIDE
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 CUSTOMIZATION OPTIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS

LIST OF TABLES

TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2020–2024
TABLE 2 FACTOR ANALYSIS
TABLE 3 GLOBAL AI PLATFORM MARKET SIZE AND GROWTH RATE, 2020–2024 (USD MILLION, Y-O-Y %)
TABLE 4 GLOBAL MARKET SIZE AND GROWTH RATE, 2025–2030 (USD MILLION, Y-O-Y %)
TABLE 5 MARKET: ECOSYSTEM
TABLE 6 IMPACT OF PORTER’S FIVE FORCES ON MARKET
TABLE 7 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 8 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 9 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 10 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 11 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 12 PATENTS FILED, 2016–2025
TABLE 13 LIST OF TOP PATENTS IN MARKET, 2024-2025
TABLE 14 PRICING DATA OF MARKET, BY OFFERING
TABLE 15 PRICING DATA OF MARKET, BY FUNCTIONALITY
TABLE 16 MARKET: DETAILED LIST OF CONFERENCES AND EVENTS
TABLE 17 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
TABLE 18 KEY BUYING CRITERIA FOR TOP THREE END USERS
TABLE 19 KEY BUYER ARCHETYPES AND DECISION INFLUENCE
TABLE 20 INDUSTRY-SPECIFIC BUYER SEGMENTATION
TABLE 21 TECHNOLOGY ROADMAP & CAPABILITY AREA
TABLE 22 PARTNERSHIP TYPE AND STRATEGIC VALUE
TABLE 23 KEY SUCCESS FACTORS FOR BUYERS
TABLE 24 AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 25 MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 26 AI DEVELOPMENT PLATFORMS: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 27 AI DEVELOPMENT PLATFORMS: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 28 AI LIFECYCLE MANAGEMENT PLATFORMS: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 29 AI LIFECYCLE MANAGEMENT PLATFORMS: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 30 AI ENABLEMENT SERVICES: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 31 AI ENABLEMENT SERVICES: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 32 MARKET, BY FUNCTIONALITY, 2020–2024 (USD MILLION)
TABLE 33 MARKET, BY FUNCTIONALITY, 2025–2030 (USD MILLION)
TABLE 34 DATA MANAGEMENT & PREPARATION: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 35 DATA MANAGEMENT & PREPARATION: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 36 MODEL DEVELOPMENT & TRAINING: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 37 MODEL DEVELOPMENT & TRAINING: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 38 MODEL DEPLOYMENT & SERVING: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 39 MODEL DEPLOYMENT & SERVING: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 40 MONITORING & MAINTENANCE: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 41 MONITORING & MAINTENANCE: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 42 MODEL GOVERNANCE & COMPLIANCE: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 43 MODEL GOVERNANCE & COMPLIANCE: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 44 MODEL FINE-TUNING & PERSONALIZATION: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 45 MODEL FINE-TUNING & PERSONALIZATION: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 46 EXPLAINABILITY & BIAS TOOLS: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 47 EXPLAINABILITY & BIAS TOOLS: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 48 SECURITY & PRIVACY: AI PLATFORM MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 49 SECURITY & PRIVACY: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 50 MARKET, BY USER TYPE, 2020–2024 (USD MILLION)
TABLE 51 MARKET, BY USER TYPE, 2025–2030 (USD MILLION)
TABLE 52 DATA SCIENTISTS & ML ENGINEERS: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 53 DATA SCIENTISTS & ML ENGINEERS: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 54 MLOPS/AI ENGINEERS: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 55 MLOPS/AI ENGINEERS: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 56 BUSINESS ANALYSTS & CITIZEN DEVELOPERS: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 57 BUSINESS ANALYSTS & CITIZEN DEVELOPERS: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 58 AI PRODUCT MANAGERS: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 59 AI PRODUCT MANAGERS: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 60 IT & CLOUD ARCHITECTS: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 61 IT & CLOUD ARCHITECTS: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 62 MARKET, BY END USER, 2020–2024 (USD MILLION)
TABLE 63 MARKET, BY END USER, 2025–2030 (USD MILLION)
TABLE 64 AI PLATFORM MARKET, BY ENTERPRISE, 2020–2024 (USD MILLION)
TABLE 65 MARKET, BY ENTERPRISE, 2025–2030 (USD MILLION)
TABLE 66 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 67 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 68 BFSI: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 69 BFSI: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 70 RETAIL & E-COMMERCE: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 71 RETAIL & E-COMMERCE: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 72 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 73 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 74 AUTOMOTIVE & MOBILITY: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 75 AUTOMOTIVE & MOBILITY: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 76 TELECOMMUNICATIONS: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 77 TELECOMMUNICATIONS: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 78 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 79 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 80 ENERGY & UTILITIES: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 81 ENERGY & UTILITIES: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 82 MANUFACTURING: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 83 MANUFACTURING: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 84 SOFTWARE & TECHNOLOGY: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 85 SOFTWARE & TECHNOLOGY: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 86 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 87 MEDIA & ENTERTAINMENT: AI PLATFORM MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 88 OTHER ENTERPRISE END USERS: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 89 OTHER ENTERPRISE END USERS: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 90 INDIVIDUAL USERS: MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 91 INDIVIDUAL USERS: MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 92 MARKET, BY REGION, 2020–2024 (USD MILLION)
TABLE 93 MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 94 NORTH AMERICA: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 95 NORTH AMERICA: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 96 NORTH AMERICA: MARKET, BY FUNCTIONALITY, 2020–2024 (USD MILLION)
TABLE 97 NORTH AMERICA: MARKET, BY FUNCTIONALITY, 2025–2030 (USD MILLION)
TABLE 98 NORTH AMERICA: MARKET, BY USER TYPE, 2020–2024 (USD MILLION)
TABLE 99 NORTH AMERICA: MARKET, BY USER TYPE, 2025–2030 (USD MILLION)
TABLE 100 NORTH AMERICA: MARKET, BY END USER, 2020–2024 (USD MILLION)
TABLE 101 NORTH AMERICA: MARKET, BY END USER, 2025–2030 (USD MILLION)
TABLE 102 NORTH AMERICA: MARKET, BY ENTERPRISE END USER, 2020–2024 (USD MILLION)
TABLE 103 NORTH AMERICA: MARKET, BY ENTERPRISE END USER, 2025–2030 (USD MILLION)
TABLE 104 NORTH AMERICA: MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
TABLE 105 NORTH AMERICA: MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 106 US: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 107 US: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 108 CANADA: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 109 CANADA: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 110 EUROPE: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 111 EUROPE: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 112 EUROPE: AI PLATFORM MARKET, BY FUNCTIONALITY, 2020–2024 (USD MILLION)
TABLE 113 EUROPE: MARKET, BY FUNCTIONALITY, 2025–2030 (USD MILLION)
TABLE 114 EUROPE: MARKET, BY USER TYPE, 2020–2024 (USD MILLION)
TABLE 115 EUROPE: MARKET, BY USER TYPE, 2025–2030 (USD MILLION)
TABLE 116 EUROPE: MARKET, BY END USER, 2020–2024 (USD MILLION)
TABLE 117 EUROPE: MARKET, BY END USER, 2025–2030 (USD MILLION)
TABLE 118 EUROPE: MARKET, BY ENTERPRISE END USER, 2020–2024 (USD MILLION)
TABLE 119 EUROPE: MARKET, BY ENTERPRISE END USER, 2025–2030 (USD MILLION)
TABLE 120 EUROPE: MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
TABLE 121 EUROPE: MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 122 UK: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 123 UK: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 124 GERMANY: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 125 GERMANY: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 126 FRANCE: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 127 FRANCE: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 128 ITALY: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 129 ITALY: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 130 SPAIN: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 131 SPAIN: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 132 REST OF EUROPE: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 133 REST OF EUROPE: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 134 ASIA PACIFIC: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 135 ASIA PACIFIC: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 136 ASIA PACIFIC: MARKET, BY FUNCTIONALITY, 2020–2024 (USD MILLION)
TABLE 137 ASIA PACIFIC: MARKET, BY FUNCTIONALITY, 2025–2030 (USD MILLION)
TABLE 138 ASIA PACIFIC: MARKET, BY USER TYPE, 2020–2024 (USD MILLION)
TABLE 139 ASIA PACIFIC: MARKET, BY USER TYPE, 2025–2030 (USD MILLION)
TABLE 140 ASIA PACIFIC: MARKET, BY END USER, 2020–2024 (USD MILLION)
TABLE 141 ASIA PACIFIC: MARKET, BY END USER, 2025–2030 (USD MILLION)
TABLE 142 ASIA PACIFIC: MARKET, BY ENTERPRISE END USER, 2020–2024 (USD MILLION)
TABLE 143 ASIA PACIFIC: MARKET, BY ENTERPRISE END USER, 2025–2030 (USD MILLION)
TABLE 144 ASIA PACIFIC: MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
TABLE 145 ASIA PACIFIC: MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 146 CHINA: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 147 CHINA: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 148 JAPAN: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 149 JAPAN: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 150 INDIA: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 151 INDIA: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 152 AUSTRALIA AND NEW ZEALAND: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 153 AUSTRALIA AND NEW ZEALAND: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 154 ASEAN: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 155 ASEAN: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 156 SOUTH KOREA: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 157 SOUTH KOREA: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 158 REST OF ASIA PACIFIC: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 159 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 160 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 161 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 162 MIDDLE EAST & AFRICA: MARKET, BY FUNCTIONALITY, 2020–2024 (USD MILLION)
TABLE 163 MIDDLE EAST & AFRICA: MARKET, BY FUNCTIONALITY, 2025–2030 (USD MILLION)
TABLE 164 MIDDLE EAST & AFRICA: MARKET, BY USER TYPE, 2020–2024 (USD MILLION)
TABLE 165 MIDDLE EAST & AFRICA: MARKET, BY USER TYPE, 2025–2030 (USD MILLION)
TABLE 166 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2020–2024 (USD MILLION)
TABLE 167 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2025–2030 (USD MILLION)
TABLE 168 MIDDLE EAST & AFRICA: MARKET, BY ENTERPRISE END USER, 2020–2024 (USD MILLION)
TABLE 169 MIDDLE EAST & AFRICA: MARKET, BY ENTERPRISE END USER, 2025–2030 (USD MILLION)
TABLE 170 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
TABLE 171 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 172 SAUDI ARABIA: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 173 SAUDI ARABIA: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 174 UAE: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 175 UAE: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 176 SOUTH AFRICA: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 177 SOUTH AFRICA: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 178 TURKEY: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 179 TURKEY: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 180 QATAR: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 181 QATAR: AI PLATFORM MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 182 EGYPT: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 183 EGYPT: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 184 KUWAIT: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 185 KUWAIT: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 186 REST OF MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 187 REST OF MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 188 LATIN AMERICA: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 189 LATIN AMERICA: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 190 LATIN AMERICA: MARKET, BY FUNCTIONALITY, 2020–2024 (USD MILLION)
TABLE 191 LATIN AMERICA: MARKET, BY FUNCTIONALITY, 2025–2030 (USD MILLION)
TABLE 192 LATIN AMERICA: MARKET, BY USER TYPE, 2020–2024 (USD MILLION)
TABLE 193 LATIN AMERICA: MARKET, BY USER TYPE, 2025–2030 (USD MILLION)
TABLE 194 LATIN AMERICA: MARKET, BY END USER, 2020–2024 (USD MILLION)
TABLE 195 LATIN AMERICA: MARKET, BY END USER, 2025–2030 (USD MILLION)
TABLE 196 LATIN AMERICA: MARKET, BY ENTERPRISE END USER, 2020–2024 (USD MILLION)
TABLE 197 LATIN AMERICA: MARKET, BY ENTERPRISE END USER, 2025–2030 (USD MILLION)
TABLE 198 LATIN AMERICA: MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
TABLE 199 LATIN AMERICA: MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 200 BRAZIL: AI PLATFORM MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 201 BRAZIL: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 202 MEXICO: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 203 MEXICO: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 204 ARGENTINA: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 205 ARGENTINA: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 206 CHILE: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 207 CHILE: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 208 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2020–2024 (USD MILLION)
TABLE 209 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 210 OVERVIEW OF STRATEGIES ADOPTED BY KEY AI PLATFORM VENDORS, 2022–2025
TABLE 211 MARKET: DEGREE OF COMPETITION
TABLE 212 REGIONAL FOOTPRINT (18 COMPANIES), 2024
TABLE 213 OFFERING FOOTPRINT (18 COMPANIES), 2024
TABLE 214 FUNCTIONALITY FOOTPRINT (18 COMPANIES), 2024
TABLE 215 END USER FOOTPRINT (18 COMPANIES), 2024
TABLE 216 AI PLATFORM MARKET: KEY STARTUPS/SMES, 2024
TABLE 217 MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
TABLE 218 MARKET: AI ENABLEMENT SERVICES, 2024
TABLE 219 MARKET: COMPETITIVE BENCHMARKING OF AI ENABLEMENT SERVICES
TABLE 220 MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, 2022–2025
TABLE 221 MARKET: DEALS, 2022–2025
TABLE 222 GOOGLE: COMPANY OVERVIEW
TABLE 223 GOOGLE: PRODUCTS OFFERED
TABLE 224 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 225 GOOGLE: DEALS
TABLE 226 GOOGLE: EXPANSIONS
TABLE 227 MICROSOFT: COMPANY OVERVIEW
TABLE 228 MICROSOFT: PRODUCTS OFFERED
TABLE 229 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 230 MICROSOFT: DEALS
TABLE 231 IBM: COMPANY OVERVIEW
TABLE 232 IBM: PRODUCTS OFFERED
TABLE 233 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 234 IBM: DEALS
TABLE 235 ORACLE: COMPANY OVERVIEW
TABLE 236 ORACLE: PRODUCTS OFFERED
TABLE 237 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 238 ORACLE: DEALS
TABLE 239 AWS: COMPANY OVERVIEW
TABLE 240 AWS: PRODUCTS OFFERED
TABLE 241 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 242 AWS: DEALS
TABLE 243 INTEL: COMPANY OVERVIEW
TABLE 244 INTEL: PRODUCTS OFFERED
TABLE 245 INTEL: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 246 INTEL: DEALS
TABLE 247 SALESFORCE: COMPANY OVERVIEW
TABLE 248 SALESFORCE: PRODUCTS OFFERED
TABLE 249 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 250 SALESFORCE: DEALS
TABLE 251 SAP: COMPANY OVERVIEW
TABLE 252 SAP: PRODUCTS OFFERED
TABLE 253 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 254 SAP: DEALS
TABLE 255 SERVICENOW: COMPANY OVERVIEW
TABLE 256 SERVICENOW: PRODUCTS OFFERED
TABLE 257 SERVICENOW: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 258 SERVICENOW: DEALS
TABLE 259 NVIDIA: COMPANY OVERVIEW
TABLE 260 NVIDIA: PRODUCTS OFFERED
TABLE 261 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 262 NVIDIA: DEALS
TABLE 263 AI TOOLKIT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
TABLE 264 AI TOOLKIT MARKET, BY OFFERING, 2023–2028 (USD MILLION)
TABLE 265 AI TOOLKIT MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
TABLE 266 AI TOOLKIT MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
TABLE 267 AI TOOLKIT MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
TABLE 268 AI TOOLKIT MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
TABLE 269 AI TOOLKIT MARKET, BY REGION, 2017–2022 (USD MILLION)
TABLE 270 AI TOOLKIT MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 271 NO-CODE AI PLATFORMS MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 272 NO-CODE AI PLATFORMS MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 273 NO-CODE AI PLATFORMS MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
TABLE 274 NO-CODE AI PLATFORMS MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
TABLE 275 NO-CODE AI PLATFORMS MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
TABLE 276 NO-CODE AI PLATFORMS MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
TABLE 277 NO-CODE AI PLATFORMS MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 278 NO-CODE AI PLATFORMS MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 279 NO-CODE AI PLATFORMS MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 280 NO-CODE AI PLATFORMS MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 281 NO-CODE AI PLATFORMS MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 282 NO-CODE AI PLATFORMS MARKET, BY REGION, 2024–2029 (USD MILLION)

LIST OF FIGURES

FIGURE 1 MARKET: RESEARCH DESIGN
FIGURE 2 AI PLATFORM MARKET: DATA TRIANGULATION
FIGURE 3 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY—APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): REVENUE FROM AI DEVELOPMENT PLATFORMS, AI LIFECYCLE MANAGEMENT PLATFORMS, AND AI-ENABLEMENT SERVICES
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY—APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM KEY COMPANIES IN MARKET
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY—APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM BUSINESS UNITS (BU) OF KEY VENDORS IN AI PLATFORM MARKET
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY—APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF AI PLATFORM THROUGH OVERALL IT SPENDING ON AI PLATFORM SOLUTIONS
FIGURE 8 AI DEVELOPMENT PLATFORM SEGMENT TO HOLD LARGEST MARKET SIZE IN 2025
FIGURE 9 DATA SCIENTISTS & ML ENGINEERS SEGMENT TO HOLD LARGEST MARKET SHARE IN 2025
FIGURE 10 DATA MANAGEMENT & PREPARATION SEGMENT TO HOLD LARGEST MARKET SIZE IN 2025
FIGURE 11 ENTERPRISE SEGMENT TO HOLD LARGEST MARKET SHARE IN 2025
FIGURE 12 HEALTHCARE & LIFE SCIENCES TO WITNESS HIGHEST GROWTH RATE IN END USER SEGMENT DURING FORECAST PERIOD
FIGURE 13 ASIA PACIFIC TO REGISTER FASTEST GROWTH BETWEEN 2025 AND 2030
FIGURE 14 ACCELERATING DIGITAL INFRASTRUCTURE AND ENTERPRISE AI ADOPTION ACROSS ASIA PACIFIC TO DRIVE AI PLATFORM MARKET GROWTH
FIGURE 15 MODEL DEPLOYMENT & SERVING SEGMENT TO ACCOUNT FOR HIGHEST GROWTH RATE DURING FORECAST PERIOD
FIGURE 16 AI DEVELOPMENT PLATFORM AND DATA MANAGEMENT & PREPARATION TO BE LARGEST SHAREHOLDERS IN NORTH AMERICAN MARKET IN 2025
FIGURE 17 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2025
FIGURE 18 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: MARKET
FIGURE 19 MARKET EVOLUTION
FIGURE 20 MARKET: SUPPLY CHAIN ANALYSIS
FIGURE 21 KEY PLAYERS IN MARKET ECOSYSTEM
FIGURE 22 MARKET: PORTER’S FIVE FORCES’ ANALYSIS
FIGURE 23 REVENUE SHIFT OF MARKET VENDORS
FIGURE 24 NUMBER OF PATENTS GRANTED IN LAST 10 YEARS, 2016–2025
FIGURE 25 REGIONAL ANALYSIS OF PATENTS GRANTED, 2016–2025
FIGURE 26 LEADING AI PLATFORM MARKET STARTUPS, BY FUNDING VALUE AND FUNDING ROUND, 2025
FIGURE 27 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
FIGURE 28 KEY BUYING CRITERIA FOR TOP THREE END USERS
FIGURE 29 AI LIFECYCLE MANAGEMENT PLATFORMS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 30 MODEL DEPLOYMENT & SERVING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 31 MLOPS/AI ENGINEERS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 32 ENTERPRISES TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
FIGURE 33 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 34 NORTH AMERICA TO BE LARGEST REGIONAL MARKET DURING FORECAST PERIOD
FIGURE 35 INDIA TO WITNESS FASTEST GROWTH DURING FORECAST PERIOD
FIGURE 36 NORTH AMERICA: MARKET SNAPSHOT
FIGURE 37 ASIA PACIFIC: MARKET SNAPSHOT
FIGURE 38 TOP FIVE PUBLIC PLAYERS IN AI PLATFORM MARKET, 2020–2024 (USD MILLION)
FIGURE 39 SHARE OF LEADING COMPANIES IN MARKET, 2024
FIGURE 40 PRODUCT COMPARATIVE ANALYSIS
FIGURE 41 FINANCIAL METRICS OF KEY VENDORS
FIGURE 42 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
FIGURE 43 MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024
FIGURE 44 COMPANY FOOTPRINT (18 COMPANIES), 2024
FIGURE 45 MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024
FIGURE 46 AI PLATFORM MARKET: COMPANY EVALUATION MATRIX (AI ENABLEMENT SERVICES), 2024
FIGURE 47 GOOGLE: COMPANY SNAPSHOT
FIGURE 48 MICROSOFT: COMPANY SNAPSHOT
FIGURE 49 IBM: COMPANY SNAPSHOT
FIGURE 50 ORACLE: COMPANY SNAPSHOT
FIGURE 51 AWS: COMPANY SNAPSHOT
FIGURE 52 INTEL: COMPANY SNAPSHOT
FIGURE 53 SALESFORCE: COMPANY SNAPSHOT
FIGURE 54 SAP: COMPANY SNAPSHOT
FIGURE 55 SERVICENOW: COMPANY SNAPSHOT
FIGURE 56 NVIDIA: COMPANY SNAPSHOT

The research study for the AI platform market involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred AI platform providers, end users, and other commercial enterprises. In-depth interviews with primary respondents, including key industry participants and subject matter experts, were conducted to obtain and verify critical qualitative and quantitative information and assess the market’s prospects.

Secondary Research

In the secondary research process, various sources were referred to identify and collect information for the study. The secondary sources included annual reports, press releases, investor presentations of companies, white papers, journals, certified publications, and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as AI conferences and related magazines.

Additionally, the AI Platform spending of various countries was extracted from respective sources. Secondary research was used to obtain key information about the industry’s value chain and supply chain to identify key players by solution, service, market classification, and segmentation based on the offerings of major players and industry trends related to offering, functionality, end user, and regions, and key developments from market and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs), directors from business development, marketing, and AI Platform expertise, related key executives from AI Platform solution vendors, SIs, managed service providers, and industry associations, and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation.

Primary research also helped understand various trends related to technologies, offerings, business functions, user types, and regions. Stakeholders from the demand side, such as chief information officers (CIOs), chief technology officers (CTOs), chief strategy officers (CSOs), and end users using AI platform solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of AI platform, which would impact the overall AI platform market.

Note: Tier 1 companies account for annual revenue of >USD 10 billion; tier 2 companies’
revenue ranges between USD 1 and 10 billion; and tier 3 companies’ revenue ranges between USD 500 million–USD 1 billion
Source: MarketsandMarkets Analysis

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Multiple approaches were adopted to estimate and forecast the AI platform market. The first approach involves estimating the market size by summing up the companies’ revenue generated by selling solutions and services.

Market Size Estimation Methodology- Top-down approach

In the top-down approach, an exhaustive list of all the vendors offering solutions and services in the AI platform market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor’s offerings were evaluated based on the breadth of solutions according to offering, functionality, user type, and end user.

The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets repository for validation.

Market Size Estimation Methodology-Bottom-up approach

In the bottom-up approach, the adoption rate of AI platform solutions and services among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of AI platform solutions across various industries was identified, along with different use cases specific to their regions. The use cases identified in different regions were weighted for the calculation of market size.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the AI platform market’s regional penetration. Based on secondary research, the regional spending on information and communications technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major AI platform providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primary interviews, the exact values of the overall AI Platform market size and the segments’ size were determined and confirmed using the study.

AI Platform Market : Top-Down and Bottom-Up Approach

Data Triangulation

After arriving at the overall market size using the market size estimation processes explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and determine the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

The AI platforms market includes software and infrastructure that enable the development, training, deployment, and management of AI models and applications. These platforms offer tools for machine learning, deep learning, natural language processing, and data processing. They support developers, data scientists, and enterprises in building intelligent systems efficiently.

Stakeholders

AI platform software developers
AI training dataset providers
Business analysts
Cloud service providers
Enterprise end users
Distributors and value-added resellers (VARs)
Government agencies
Independent software vendors (ISV)
Managed service providers
Market research and consulting firms
Support & maintenance service providers
System integrators (SIs)/migration service providers
Language service providers
Technology providers
Academia & research institutions
Investors & venture capital firms

Report Objectives

To define, describe, and forecast the AI platform market by offering, functionality, user type, and vertical
To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the AI platform market
To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
To forecast the market size of segments for the five main regions: North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
To profile the key players and comprehensively analyze their market ranking and core competencies
To analyze competitive developments, such as partnerships, product launches, and mergers & acquisitions, in the AI platform market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:

Product Analysis

Product quadrant, which gives a detailed comparison of the product portfolio of each company.

Geographic Analysis as per Feasibility

Further breakup of the North American AI platform market
Further breakup of the European AI platform market
Further breakup of the Asia Pacific AI platform market
Further breakup of the Middle Eastern & African AI platform market
Further breakup of the Latin American AI platform market

Previous Versions of this Report

AI Platform Market by Offering (Conversational AI, Generative AI), Functionality (Data Management, Model Development), User Type (Data Scientists & ML Engineers, MLOps/AI Engineers), End User (BFSI, Enterprises), and Region - Global Forecast to 2030

Report Code TC 5742

Published in Nov, 2017, By MarketsandMarkets™

AI Platform Market

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