Europe Generative AI Market by Software (Foundation Models, Model Enablement & Orchestration Tools, Gen AI SaaS), Modality (Text, Code, Video, Image, Multimodal), Application (Content Management, BI & Visualization, Search & Discovery) - Forecast to 2032

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USD 202.77 BN
MARKET SIZE, 2032
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CAGR 43%
(2025-2032)
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250
REPORT PAGES
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150
MARKET TABLES

OVERVIEW

europe-generative-ai-market Overview

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

The Europe generative AI market is projected to grow from USD 16.56 billion in 2025 to USD 202.77 billion by 2032, registering a CAGR of 43.0% during the forecast period. This adoption is fueled by regulatory certainty under the European Union (EU) AI Act and GDPR, enabling wider deployment of generative AI across different sectors like banking, healthcare, and public administration. Enterprises across the EU’s digital market are accelerating the use of multilingual LLMs (large language models) for localized content generation and digital services. The growth is also supported by a strong shift toward private and sovereign generative AI deployments, along with rising adoption of multimodal AI across industrial automation and public-sector digital transformation.

KEY TAKEAWAYS

  • BY COUNTRY
    The UK held the largest share, 30.6%, of the generative AI market in Europe in 2025.
  • BY OFFERING
    By offering, the services segment is expected to register the highest CAGR of 55.4%, during the forecast period.
  • BY DATA MODALITY
    The text data segment is expected to account for the largest market share of 45.6% in 2025.
  • BY APPLICATION
    By application, the synthetic data management segment is projected to register the highest CAGR during the forecast period.
  • BY END USER
    By end user, the software & technology providers segment is expected to account for the largest market share in 2025.
  • BY COMPETITIVE LANDSCAPE
    NVIDIA, OpenAI, and Microsoft are among the leading players in the Europe generative AI market due to their strong market share and extensive product footprint.
  • BY COMPETITIVE LANDSCAPE
    Synthesia and Stability AI have distinguished themselves among startups and SMEs by securing strong footholds in specialized niche areas, underscoring their potential as emerging leaders.

The Europe generative AI market is driven by growing deployments of GDPR-compliant LLMs within enterprise operations, digital services, and multilingual content automation across the market. Organizations are prioritizing private and sovereign generative AI architectures to ensure data residency and regulatory alignment under the EU AI Act. A major growth opportunity lies in scaling up EU-funded AI factories and high-performance computing programs, which are enhancing access to foundation-model training capacity for regional vendors. Another significant scope is the integration of generative AI into regulatory and industrial documentation workflows, where demand for automation continues to intensify across Europe’s highly operational environments.

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

The Europe generative AI market is shaped by the demand for multilingual capabilities and a strong focus on risk management by enterprises. Key trends include a transition from consulting-led adoption to compliant generative AI Software as a Service (SaaS) platforms, as well as a growing demand for private and sovereign AI deployments. Major disruptions in the market involve the integration of governance layers and the increased use of multimodal AI across regulated sectors, including banking, financial services, and insurance (BFSI), healthcare, and retail.

europe-generative-ai-market Disruptions

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

MARKET DYNAMICS

Drivers
Impact
Level
  • Favorable regulatory policies accelerating enterprise adoption of privacy-preserving Gen AI tools
  • Multilingual single market creating structural demand for localized generative AI
RESTRAINTS
Impact
Level
  • Structural dependence on non-European hyperscale compute infrastructure
  • Weak conversion of academic generative AI leadership into scaled commercial platforms
OPPORTUNITIES
Impact
Level
  • EU-led funding and policy programs accelerating generative AI market expansion
  • Use of generative AI in industrial and manufacturing sectors to improve productivity
CHALLENGES
Impact
Level
  • Slower scaling of foundation models compared with US providers
  • Rising talent drain from Europe’s advanced generative AI research ecosystem

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Driver: Favorable regulatory policies accelerating enterprise adoption of privacy-preserving Gen AI tools

Supportive regulations across Europe, led by GDPR and the EU AI Act, are encouraging companies to adopt privacy-first generative AI tools. Clear rules around data protection, audit controls, and data residency are increasing confidence in compliant SaaS platforms. As a result, enterprises are investing more in secure generative AI software, governance tools, and integration services across regulated industries such as BFSI, healthcare, and public administration.

Restraint: Structural Dependence on Non-European Hyperscale Compute Infrastructure

Europe faces limits in training and scaling large generative AI models due to restricted access to advanced GPU infrastructure. Many workloads still rely on non-European cloud providers and imported accelerators. This dependence raises costs, slows development cycles, and reduces flexibility. Despite public investments, the current infrastructure remains insufficient for large-scale commercial model deployment, constraining Europe’s competitiveness in advanced generative AI development.

Opportunity: EU-Led Funding and Policy Programs Accelerating Generative AI Market Expansion

EU institutions are positioning generative AI as a strategic economic priority through focused funding, infrastructure buildout, and aligned policy measures. Investments in AI factories, high-performance computing, and public-sector pilots are lowering adoption barriers for regional vendors. This environment is driving demand for compliant foundation models and secure inference systems, supporting broader commercialization across regulated and public-sector use cases.

Challenge: Slower scaling of foundation models compared with US providers

Europe's generative AI developers continue to face scale limitations compared with global platform leaders. Limited model scale, constrained developer reach, and weaker ecosystem depth slow enterprise adoption. As market leadership increasingly depends on model scale and ecosystem strength, these gaps limit Europe’s ability to compete globally and influence enterprise generative AI standards.

EUROPE GENERATIVE AI MARKET: COMMERCIAL USE CASES ACROSS INDUSTRIES

COMPANY USE CASE DESCRIPTION BENEFITS
Capgemini implemented Mistral AI’s private software-engineering assistant to accelerate client software delivery and maintain strict data sovereignty across regulated-industry projects. The deployment achieved 100% developer adoption, improved code completion accuracy to 90%, and delivered measurable productivity improvements across 50+ client projects within six months.
Wise adopted Synthesia to create enhanced training videos. This helped them to create eLearning content efficiently with high-quality output. The adoption reduced training-video production time by 20%, increased learner engagement by 5%, and enabled content updates 20% faster.
Safran leveraged LightOn’s Paradigm LLM-powered assistant to accelerate insight extraction from aerospace research papers for faster technology monitoring. The solution enabled faster insight discovery, improved research accessibility, and stronger innovation acceleration by streamlining technical monitoring and reducing manual review effort.
TM Forum used Colossyan to transform learning materials into AI-generated e-learning videos rapidly, replacing traditional video production workflows. The platform achieved an 80% time savings, reduced production costs by 50-80%, and facilitated faster localization, along with scalable e-learning content creation.

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET ECOSYSTEM

The Europe generative AI ecosystem is categorized into regional vendors and globally scaled vendors. Regional vendors such as Mostly AI and Silo AI focus on specialized capabilities, including synthetic data generation and custom LLMs for regulated sectors. The global vendors such as Accenture and Capgemini drive large-scale integration of generative AI and platform deployment across enterprises and public-sector institutions.

europe-generative-ai-market Ecosystem

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET SEGMENTS

europe-generative-ai-market Segments

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Europe Generative AI Market, by Offering

The offering landscape in the Europe generative AI market is mainly categorized into infrastructure, software, and services. Within the software segment, genAI SaaS is expected to hold the largest market share in 2025 due to its scalability, rapid deployment, and compliance-oriented architectures. European enterprises prefer SaaS-based generative AI platforms for content generation, customer engagement, and knowledge automation. Demand is supported by GDPR-aligned data handling and subscription-based pricing models, which are well-suited for Europe’s SME economy across both regulated and commercial sectors.

Europe Generative AI Market, by Data Modality

Multimodal generative AI is the fastest-growing data modality as enterprises increasingly deploy systems that combine text, image, audio, video, and sensor data. Demand for real-time insights is increasing across various industries, including healthcare and manufacturing, driven by the need for integrated decision intelligence and automation. European digital twins, medical imaging workflows, and smart city applications increasingly rely on multimodal foundation models. Growth is further supported by EU investments in high-performance computing and sovereign AI programs, which focus on developing multimodal language–vision models.

Europe Generative AI Market, by Application

Content management represents the largest application segment in the Europe generative AI market in 2025, driven by widespread deployment across digital media, marketing, and enterprise knowledge systems. Organizations in Europe are utilizing generative AI to create multilingual content, personalize experiences, and automate knowledge bases. The segment is driven by Europe’s cross-border digital operations, multilingual regulatory disclosures, and omnichannel customer engagement strategies. Public-sector digitization and enterprise content governance further strengthen content-centric generative AI adoption across regional markets.

Europe Generative AI Market, by End User

The healthcare and life sciences sector represents the fastest-growing end-user segment in the market, driven by the adoption of solutions across clinical, research, and pharmaceutical workflows. European hospitals and biopharmaceutical enterprises are deploying LLMs and multimodal generative AI for clinical documentation, drug discovery, and trial design. Workforce shortages, rising care complexity, and expanding EU health innovation further support the large-scale deployment of these solutions across public health systems and private life sciences enterprises.

REGION

Finland to be the fastest-growing country in the Europe generative AI market during the forecast period

Finland is emerging as the fastest-growing country in the Europe generative AI market, supported by large-scale public investment in sovereign AI infrastructure and strong collaboration between research institutions and industry. The rapid adoption of foundation models across various industries, including retail, media, and automotive, is accelerating their commercialization. A highly active startup ecosystem is driving innovation in multilingual LLMs, edge-deployed generative AI, and architectures aligned with EU regulatory frameworks.

europe-generative-ai-market Region

EUROPE GENERATIVE AI MARKET: COMPANY EVALUATION MATRIX

In the Europe generative AI market, NVIDIA leads the market with its accelerated computing platforms, EU-hosted sovereign AI infrastructure, and large-scale model training systems. These capabilities support multimodal AI, digital twins, and industrial AI across different sectors. Its integration with European HPC centers and sovereign cloud programs supports scalable and regulation-compliant model development. Oracle is an emerging leader, expanding its presence through the Oracle Cloud across Europe in countries like the UK, Germany, and France. This enables secure enterprise LLM hosting and retrieval-augmented generation for GDPR-compliant deployments in the public sector, financial services, and telecommunications.

europe-generative-ai-market Evaluation Metrics

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

KEY MARKET PLAYERS

MARKET SCOPE

REPORT METRIC DETAILS
Market Size in 2024 (Value) USD 9.47 Billion
Market Forecast in 2032 USD 202.77 Billion
Growth Rate CAGR of 43.0% during 2025–2032
Years Considered 2020–2032
Base Year 2024
Forecast Period 2025–2032
Units Considered Value (USD Billion)
Report Coverage Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, and Trends
Segments Covered
  • By Offering:
    • Infrastructure
    • Software
    • Services
  • Offering: Infrastructure:
    • Compute
    • Memory
    • Networking Hardware
    • Storage
  • Offering: Software:
    • Foundation Models
    • Model Enablement & Orchestration Models
    • Generative AI SaaS
  • Offering: Services:
    • Gen AI Training & Consulting Services
    • Model Development & Fine-Tuning Services
    • Prompt Engineering Services
    • Integration & Deployment Services
    • Support & Maintenance Services
    • Gen AI Training Data Services
    • Managed Gen AI Services
  • By Data Modality:
    • Text
    • Image
    • Video
    • Audio & Speech
    • Code
    • Multimodal
  • By Application:
    • Business Intelligence & Visualization
    • Content Management
    • Synthetic Data Management
    • Search & Discovery
    • Automation & Integration
    • Generative Design AI
    • Other Applications
  • By End User:
    • Consumers
    • Enterprises
  • Enterprises:
    • BFSI
    • Retail & E-Commerce
    • Government & Defense
    • Telecommunications
    • Media & Entertainment
    • Transportation & Logistics
    • Manufacturing
    • Healthcare & Life Sciences
    • Software & Technology Providers
    • Energy & Utilities
    • Other Enterprises
Countries Covered UK, Germany, France, Italy, Spain, Finland, Rest of Europe

WHAT IS IN IT FOR YOU: EUROPE GENERATIVE AI MARKET REPORT CONTENT GUIDE

europe-generative-ai-market Content Guide

DELIVERED CUSTOMIZATIONS

We have successfully delivered the following deep-dive customizations:

CLIENT REQUEST CUSTOMIZATION DELIVERED VALUE ADDS
Large Europe Retail & E-commerce Company
  • Developed a market and vendor intelligence study for generative AI-powered personalization, automated content generation, and operational optimization
  • Assessed maturity of multi-agent systems for supply chain automation and customer-experience enhancement
  • Strengthened the client’s roadmap for AI-driven merchandising and demand forecasting
  • Enabled adoption of scalable generative AI workflows across digital commerce ecosystems
Financial Services & Insurance Firm
  • Delivered competitive intelligence on generative AI in fraud detection, automated reporting, ESG disclosures, and regulatory compliance
  • Evaluated vendor maturity in domain-specific language models and explainable generative AI frameworks
  • Strengthened AI governance and model-risk oversight
  • Enabled early adoption of generative AI reasoning systems for auditability and regulatory traceability

RECENT DEVELOPMENTS

  • November 2025: SAP expanded its European ecosystem through a sovereign generative AI partnership with Mistral AI across France and Europe. The collaboration integrates Mistral’s language models into SAP enterprise platforms to deliver secure, compliant, and EU-hosted generative AI capabilities. This supports regulated industries by ensuring data sovereignty, operational reliability, and alignment with European regulatory requirements.
  • July 2025: Accenture and Google Cloud partnered with Air France-KLM to create a centralized generative AI factory in France. The initiative supports the deployment of AI across airline operations, including maintenance, customer service, and data-driven decision-making. The partnership enables scalable automation, improved analytics, and productivity gains across the airline group.
  • May 2025: Capgemini, SAP, and Mistral AI formed a strategic partnership to deploy generative AI solutions across Europe’s regulated sectors. The alliance focuses on industries such as defense, public services, and financial services, delivering secure and compliant AI applications. This helps improve operational efficiency and support critical decision-making.
  • March 2025: WPP announced a strategic investment in Stability AI to integrate advanced generative image and video models into its European marketing and creative operations. The partnership enables AI-driven content production across WPP agencies, improving creative speed, personalization, and cost efficiency while supporting scalable, enterprise-grade generative AI deployment for global brand campaigns.

 

Table of Contents

Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TITLE
PAGE NO
1
INTRODUCTION
 
 
 
 
15
2
EXECUTIVE SUMMARY
 
 
 
 
 
3
PREMIUM INSIGHTS
 
 
 
 
 
4
MARKET OVERVIEW
Maps the market evolution with focus on trend catalysts, risk factors, and growth opportunities across segments.
 
 
 
 
 
 
4.1
INTRODUCTION
 
 
 
 
 
4.2
MARKET DYNAMICS
 
 
 
 
 
 
4.2.1
DRIVERS
 
 
 
 
 
 
4.2.1.1
FAVORABLE REGULATORY POLICIES ACCELERATING ENTERPRISE ADOPTION OF PRIVACY-PRESERVING GEN AI TOOLS
 
 
 
 
4.2.2
RESTRAINTS
 
 
 
 
 
 
4.2.2.1
STRUCTURAL DEPENDENCE ON NON-EUROPEAN HYPERSCALE COMPUTE INFRASTRUCTURE
 
 
 
 
4.2.3
OPPORTUNITIES
 
 
 
 
 
 
4.2.3.1
EU-LED FUNDING AND POLICY PROGRAMS ACCELERATING GENERATIVE AI MARKET EXPANSION
 
 
 
 
4.2.4
CHALLENGES
 
 
 
 
 
 
4.2.4.1
SLOWER SCALING OF FOUNDATION MODELS COMPARED WITH US PROVIDERS
 
 
 
4.3
UNMET NEEDS AND WHITE SPACES
 
 
 
 
 
4.4
INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
 
 
 
 
 
4.5
STRATEGIC MOVES BY TIER-1/2/3 PLAYERS
 
 
 
 
5
INDUSTRY TRENDS
Outlines emerging trends, technology impact, and regulatory signals affecting growth trajectory and stakeholder decisions.
 
 
 
 
 
 
5.1
PORTER’S FIVE FORCES ANALYSIS
 
 
 
 
 
5.2
MACROECONOMIC OUTLOOK
 
 
 
 
 
 
5.2.1
INTRODUCTION
 
 
 
 
 
5.2.2
GDP TRENDS AND FORECAST
 
 
 
 
 
5.2.3
TRENDS IN EUROPE ARTIFICIAL INTELLIGENCE INDUSTRY
 
 
 
 
 
5.2.4
TRENDS IN EUROPE LARGE LANGUAGE MODELS INDUSTRY
 
 
 
 
5.3
SUPPLY CHAIN ANALYSIS
 
 
 
 
 
 
5.4
ECOSYSTEM ANALYSIS
 
 
 
 
 
 
5.5
PRICING ANALYSIS
 
 
 
 
 
 
 
5.5.1
AVERAGE SELLING PRICE OF OFFERING, BY KEY PLAYER,
 
 
 
 
 
5.5.2
AVERAGE SELLING PRICE, BY DATA MODALITY,
 
 
 
 
5.6
KEY CONFERENCES AND EVENTS, 2025–2026
 
 
 
 
 
5.7
TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
 
 
 
 
 
5.8
INVESTMENT AND FUNDING SCENARIO
 
 
 
 
 
5.9
CASE STUDY ANALYSIS
 
 
 
 
6
TECHNOLOGICAL ADVANCEMENTS, PATENTS, INNOVATIONS, AND FUTURE APPLICATIONS
 
 
 
 
 
 
6.1
KEY EMERGING TECHNOLOGIES
 
 
 
 
 
 
6.1.1
FOUNDATION MODELS
 
 
 
 
 
6.1.2
TRANSFORMER ARCHITECTURES
 
 
 
 
 
6.1.3
DIFFUSION MODELS
 
 
 
 
6.2
COMPLEMENTARY TECHNOLOGIES
 
 
 
 
 
 
6.2.1
HIGH-PERFORMANCE COMPUTING (HPC)
 
 
 
 
 
6.2.2
RETRIEVAL-AUGMENTED GENERATION (RAG)
 
 
 
 
 
6.2.3
MLOPS & LLMOPS
 
 
 
 
6.3
ADJACENT TECHNOLOGIES
 
 
 
 
 
 
6.3.1
NATURAL LANGUAGE PROCESSING (NLP)
 
 
 
 
 
6.3.2
COMPUTER VISION
 
 
 
 
 
6.3.3
CAUSAL AI
 
 
 
 
6.4
TECHNOLOGY ROADMAP
 
 
 
 
 
6.5
PATENT ANALYSIS
 
 
 
 
 
 
 
6.5.1
METHODOLOGY
 
 
 
 
 
6.5.2
PATENTS FILED, BY DOCUMENT TYPE, 2015–2025
 
 
 
 
 
6.5.3
INNOVATION AND PATENT APPLICATIONS
 
 
 
 
6.6
FUTURE APPLICATIONS
 
 
 
 
7
REGULATORY LANDSCAPE
 
 
 
 
 
 
7.1
REGULATIONS AND COMPLIANCE
 
 
 
 
 
 
7.1.1
REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
 
 
 
 
 
7.1.2
INDUSTRY STANDARDS
 
 
 
8
CUSTOMER LANDSCAPE & BUYER BEHAVIOR
 
 
 
 
 
 
8.1
INTRODUCTION
 
 
 
 
 
8.2
DECISION-MAKING PROCESS
 
 
 
 
 
8.3
KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THEIR EVALUATION CRITERIA
 
 
 
 
 
 
8.3.1
KEY STAKEHOLDERS IN BUYING PROCESS
 
 
 
 
 
8.3.2
BUYING CRITERIA
 
 
 
 
8.4
ADOPTION BARRIERS & INTERNAL CHALLENGES
 
 
 
 
 
8.5
UNMET NEEDS FROM VARIOUS END USERS
 
 
 
 
 
8.6
MARKET PROFITABILITY
 
 
 
 
9
EUROPE GENERATIVE AI MARKET, BY OFFERING (MARKET SIZE & FORECAST TO 2032 – IN VALUE, USD MILLION)
 
 
 
 
 
 
(COMPARATIVE ASSESSMENT OF KEY OFFERINGS, THEIR MARKET POTENTIAL, AND SUPPLY PATTERNS BY VARIOUS VENDORS)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
 
9.1
INTRODUCTION
 
 
 
 
 
 
9.1.1
OFFERING: EUROPE GENERATIVE AI MARKET DRIVERS
 
 
 
 
9.2
INFRASTRUCTURE
 
 
 
 
 
 
9.2.1
COMPUTE
 
 
 
 
 
 
9.2.1.1
GRAPHICS PROCESSING UNIT (GPU)
 
 
 
 
 
9.2.1.2
CENTRAL PROCESSING UNIT (CPU)
 
 
 
 
 
9.2.1.3
FIELD-PROGRAMMABLE GATE ARRAY (FPGA)
 
 
 
 
9.2.2
MEMORY
 
 
 
 
 
 
9.2.2.1
DOUBLE DATA RATE (DDR)
 
 
 
 
 
9.2.2.2
HIGH BANDWIDTH MEMORY (HBM)
 
 
 
 
9.2.3
NETWORKING HARDWARE
 
 
 
 
 
 
9.2.3.1
NIC/NETWORK ADAPTERS
 
 
 
 
 
 
9.2.3.1.1
ETHERNET
 
 
 
 
 
9.2.3.1.2
INFINIBAND
 
 
 
 
9.2.3.2
INTERCONNECTS
 
 
 
 
9.2.4
STORAGE
 
 
 
 
9.3
SOFTWARE
 
 
 
 
 
 
9.3.1
FOUNDATION MODELS
 
 
 
 
 
 
9.3.1.1
LARGE LANGUAGE MODELS
 
 
 
 
 
9.3.1.2
SMALL LANGUAGE MODELS
 
 
 
 
9.3.2
MODEL ENABLEMENT & ORCHESTRATION TOOLS
 
 
 
 
 
 
 
9.3.2.1.1
MODEL HOSTING & ACCESS PLATFORMS
 
 
 
 
 
9.3.2.1.2
LLMOPS & PROMPT ENGINEERING TOOLS
 
 
 
 
 
9.3.2.1.3
MODEL FINE-TUNING TOOLS
 
 
 
 
 
9.3.2.1.4
MODEL MONITORING & EVALUATION TOOLS
 
 
 
 
 
9.3.2.1.5
GOVERNANCE & RISK PLATFORMS
 
 
 
9.3.3
GEN AI SAAS
 
 
 
 
 
 
 
9.3.3.1.1
CODE GENERATORS
 
 
 
 
 
9.3.3.1.2
GENERATIVE DESIGN & PROTOTYPING TOOLS
 
 
 
 
 
9.3.3.1.3
SYNTHETIC DATA GENERATORS
 
 
 
 
 
9.3.3.1.4
GENERATIVE AI AGENTS
 
 
 
 
 
9.3.3.1.5
DOMAIN-SPECIFIC GEN AI TOOLS
 
 
9.4
SERVICES
 
 
 
 
 
 
9.4.1
GEN AI TRAINING & CONSULTING SERVICES
 
 
 
 
 
9.4.2
MODEL DEVELOPMENT & FINE-TUNING SERVICES
 
 
 
 
 
9.4.3
PROMPT ENGINEERING SERVICES
 
 
 
 
 
9.4.4
INTEGRATION & DEPLOYMENT SERVICES
 
 
 
 
 
9.4.5
SUPPORT & MAINTENANCE SERVICES
 
 
 
 
 
9.4.6
GEN AI TRAINING DATA SERVICES
 
 
 
 
 
9.4.7
MANAGED GEN AI SERVICES
 
 
 
10
EUROPE GENERATIVE AI MARKET, BY DATA MODALITY (MARKET SIZE & FORECAST TO 2032 – IN VALUE, USD MILLION)
 
 
 
 
 
 
(DATA MODALITY DEMAND POTENTIAL AND GROWTH PATHWAYS SHAPING GENERATIVE AI ADOPTION IN DIVERSE END USERS)
 
 
 
 
 
 
10.1
INTRODUCTION
 
 
 
 
 
 
10.1.1
DATA MODALITY: EUROPE GENERATIVE AI MARKET DRIVERS
 
 
 
 
10.2
TEXT
 
 
 
 
 
10.3
IMAGE
 
 
 
 
 
10.4
VIDEO
 
 
 
 
 
10.5
AUDIO & SPEECH
 
 
 
 
 
10.6
CODE
 
 
 
 
 
10.7
MULTIMODAL
 
 
 
 
11
EUROPE GENERATIVE AI MARKET, BY APPLICATION (MARKET SIZE & FORECAST TO 2032 – IN VALUE, USD MILLION)
 
 
 
 
 
 
(APPLICATION-WISE DEMAND POTENTIAL AND GROWTH PATHWAYS SHAPING EUROPE GENERATIVE AI ADOPTION IN DIVERSE INDUSTRIES)
 
 
 
 
 
 
11.1
INTRODUCTION
 
 
 
 
 
 
11.1.1
APPLICATION: MARKET DRIVERS
 
 
 
 
11.2
BUSINESS INTELLIGENCE & VISUALIZATION
 
 
 
 
 
 
11.2.1
SALES INTELLIGENCE
 
 
 
 
 
11.2.2
MARKETING INTELLIGENCE
 
 
 
 
 
11.2.3
HUMAN RESOURCE INTELLIGENCE
 
 
 
 
 
11.2.4
FINANCE INTELLIGENCE
 
 
 
 
 
11.2.5
OPERATIONS & SUPPLY CHAIN INTELLIGENCE
 
 
 
 
11.3
CONTENT MANAGEMENT
 
 
 
 
 
 
11.3.1
CONTENT GENERATION
 
 
 
 
 
11.3.2
CONTENT CURATION, TAGGING, & CATEGORIZATION
 
 
 
 
 
11.3.3
DIGITAL MARKETING
 
 
 
 
 
11.3.4
MEDIA EDITING
 
 
 
 
11.4
SYNTHETIC DATA MANAGEMENT
 
 
 
 
 
 
11.4.1
SYNTHETIC DATA AUGMENTATION
 
 
 
 
 
11.4.2
SYNTHETIC DATA TRAINING
 
 
 
 
11.5
SEARCH AND DISCOVERY
 
 
 
 
 
 
11.5.1
GENERAL SEARCH
 
 
 
 
 
11.5.2
INSIGHT GENERATION
 
 
 
 
11.6
AUTOMATION & INTEGRATION
 
 
 
 
 
 
11.6.1
PERSONALIZATION & RECOMMENDATION SYSTEMS
 
 
 
 
 
11.6.2
CUSTOMER EXPERIENCE MANAGEMENT
 
 
 
 
 
11.6.3
APPLICATION DEVELOPMENT & API INTEGRATION
 
 
 
 
 
11.6.4
CYBERSECURITY INTELLIGENCE
 
 
 
 
11.7
GENERATIVE DESIGN AI
 
 
 
 
 
 
11.7.1
DESIGN EXPLORATION & VARIATION
 
 
 
 
 
11.7.2
MODELLING & PROTOTYPING
 
 
 
 
 
11.7.3
PRODUCT RENDERINGS & VISUAL COLLATERALS
 
 
 
 
11.8
OTHER APPLICATIONS
 
 
 
 
12
EUROPE GENERATIVE AI MARKET, BY END USER (MARKET SIZE & FORECAST TO 2032 – IN VALUE, USD MILLION)
 
 
 
 
 
 
(SECTOR-SPECIFIC ADOPTION DRIVERS, DEMAND DYNAMICS, AND MARKET POTENTIAL ACROSS EACH END USER)
 
 
 
 
 
 
12.1
INTRODUCTION
 
 
 
 
 
 
12.1.1
END-USER: MARKET DRIVERS
 
 
 
 
12.2
INDIVIDUAL USERS
 
 
 
 
 
12.3
ENTERPRISES
 
 
 
 
 
 
12.3.1
BFSI
 
 
 
 
 
 
12.3.1.1
PERSONALIZED FINANCE ADVISORS
 
 
 
 
 
12.3.1.2
AUTOMATED REPORT & COMMENTARY GENERATION
 
 
 
 
 
12.3.1.3
INTELLIGENT UNDERWRITING & CLAIMS
 
 
 
 
 
12.3.1.4
FRAUD DETECTION & PREVENTION
 
 
 
 
 
12.3.1.5
REGULATORY REPORTING & COMPLIANCE
 
 
 
 
 
12.3.1.6
OTHERS (FINANCIAL DASHBOARDS, KYC AUTOMATION)
 
 
 
 
12.3.2
RETAIL AND E-COMMERCE
 
 
 
 
 
 
12.3.2.1
PRODUCT DESCRIPTION & SEO CONTENT GENERATION
 
 
 
 
 
12.3.2.2
VIRTUAL SHOPPING ASSISTANTS
 
 
 
 
 
12.3.2.3
PERSONALIZED PRODUCT RECOMMENDATIONS
 
 
 
 
 
12.3.2.4
CUSTOMER QUERY RESOLUTION
 
 
 
 
 
12.3.2.5
DEMAND FORECASTING & INVENTORY MANAGEMENT
 
 
 
 
 
12.3.2.6
OTHERS (CAMPAIGN & PROMOS, CUSTOMER REVIEW SUMMARIZATION)
 
 
 
 
12.3.3
GOVERNMENT AND DEFENSE
 
 
 
 
 
 
12.3.3.1
POLICY DRAFTING & LEGISLATIVE SUMMARIZATION
 
 
 
 
 
12.3.3.2
CITIZEN SERVICES CHATBOTS
 
 
 
 
 
12.3.3.3
OSINT BRIEFING & REPORTING
 
 
 
 
 
12.3.3.4
DOCUMENT CLASSIFICATION & KNOWLEDGE RETRIEVAL
 
 
 
 
 
12.3.3.5
THREAT SCENARIO SIMULATION
 
 
 
 
 
12.3.3.6
OTHERS (OPEN DATA SUMMARIZATION, PR MANAGEMENT)
 
 
 
 
12.3.4
TELECOMMUNICATIONS
 
 
 
 
 
 
12.3.4.1
NETWORK OPERATIONS & FAULT DIAGNOSIS
 
 
 
 
 
12.3.4.2
AUTOMATED SLA REPORTING
 
 
 
 
 
12.3.4.3
CONTACT CENTER INTELLIGENCE
 
 
 
 
 
12.3.4.4
MARKETING CONTENT & CAMPAIGN PERSONALIZATION
 
 
 
 
 
12.3.4.5
REVENUE ASSURANCE & FRAUD PREVENTION
 
 
 
 
 
12.3.4.6
OTHERS (NETWORK DESIGN SIMULATION, FIELD SERVICES MANAGEMENT)
 
 
 
 
12.3.5
MEDIA & ENTERTAINMENT
 
 
 
 
 
 
12.3.5.1
SCRIPTWRITING & NARRATIVE GENERATION
 
 
 
 
 
12.3.5.2
AI VOICEOVER & DUBBING
 
 
 
 
 
12.3.5.3
VISUAL ASSETS GENERATION & MOTION DESIGN
 
 
 
 
 
12.3.5.4
MULTILINGUAL CONTENT LOCALIZATION
 
 
 
 
 
12.3.5.5
ADVERTISING & CAMPAIGN COPYWRITING
 
 
 
 
 
12.3.5.6
SYNTHETIC INFLUENCERS, HOSTS, & DIGITAL AVATARS
 
 
 
 
 
12.3.5.7
DIGITAL RIGHTS & IP PROTECTION
 
 
 
 
 
12.3.5.8
OTHERS (TRAILER GENERATION, NEWS SUMMARIZATION, GENAI NPCS)
 
 
 
 
12.3.6
TRANSPORTATION & LOGISTICS
 
 
 
 
 
 
12.3.6.1
ROUTE OPTIMIZATION
 
 
 
 
 
12.3.6.2
FREIGHT DOCUMENTATION
 
 
 
 
 
12.3.6.3
FLEET MANAGEMENT
 
 
 
 
 
12.3.6.4
WAREHOUSE MANAGEMENT
 
 
 
 
 
12.3.6.5
TRAFFIC SCENARIO SIMULATION
 
 
 
 
 
12.3.6.6
OTHERS (LOGISTICS CUSTOMER SUPPORT, DRIVER TRAINING MANUALS)
 
 
 
 
12.3.7
MANUFACTURING
 
 
 
 
 
 
12.3.7.1
DESIGN GENERATION
 
 
 
 
 
12.3.7.2
PREDICTIVE MAINTENANCE
 
 
 
 
 
12.3.7.3
QUALITY INSPECTION & CONTROL
 
 
 
 
 
12.3.7.4
PROCUREMENT & SUPPLIER MANAGEMENT
 
 
 
 
 
12.3.7.5
PRODUCT PLANNING & SIMULATION
 
 
 
 
 
12.3.7.6
OTHERS (BOM GENERATION, TECHNICAL DOCUMENTATION)
 
 
 
 
12.3.8
HEALTHCARE & LIFE SCIENCES
 
 
 
 
 
 
12.3.8.1
ELECTRONIC HEALTH RECORD (EHR) AUTOMATION
 
 
 
 
 
12.3.8.2
MEDICAL IMAGING
 
 
 
 
 
12.3.8.3
VIRTUAL HEALTH ASSISTANTS
 
 
 
 
 
12.3.8.4
DRUG DISCOVERY & MOLECULE DESIGN
 
 
 
 
 
12.3.8.5
CLINICAL TRIAL PROTOCOL DESIGN
 
 
 
 
 
12.3.8.6
PERSONALIZED TREATMENT PLANS
 
 
 
 
 
12.3.8.7
OTHERS (SCIENTIFIC LITERATURE SUMMARIZATION, MEDICAL CODING & BILLING)
 
 
 
 
12.3.9
SOFTWARE & TECHNOLOGY PROVIDERS
 
 
 
 
 
 
12.3.9.1
CODE GENERATION & DEBUGGING
 
 
 
 
 
12.3.9.2
TEST CASE GENERATION & QA AUTOMATION
 
 
 
 
 
12.3.9.3
GEN AI ASSISTED ITSM
 
 
 
 
 
12.3.9.4
CUSTOMER SUPPORT AUTOMATION
 
 
 
 
 
12.3.9.5
KNOWLEDGE DISCOVERY
 
 
 
 
 
12.3.9.6
BUSINESS PROCESS AUTOMATION
 
 
 
 
 
12.3.9.7
OTHERS (COMPETITIVE INTELLIGENCE, RFP DRAFTING, API DOCUMENTATION)
 
 
 
 
12.3.10
ENERGY AND UTILITIES
 
 
 
 
 
 
12.3.10.1
CONDITION-BASED ASSET MAINTENANCE
 
 
 
 
 
12.3.10.2
GRID OPERATIONS MANAGEMENT
 
 
 
 
 
12.3.10.3
RENEWABLE ENERGY FORECASTING
 
 
 
 
 
12.3.10.4
SUSTAINABILITY & EMISSIONS REPORTING
 
 
 
 
 
12.3.10.5
DIGITAL TWIN SIMULATIONS
 
 
 
 
 
12.3.10.6
OTHERS (ENERGY TRADING, UTILITY BILLING & CUSTOMER SERVICE)
 
 
 
 
12.3.11
OTHER ENTERPRISES (EDUCATION, TRAVEL & HOSPITALITY, AND CONSTRUCTION & REAL ESTATE)
 
 
 
13
COMPETITIVE LANDSCAPE (STRATEGIC ASSESSMENT OF LEADING PLAYERS, MARKET SHARE, REVENUE ANALYSIS, COMPANY POSITIONING, AND COMPETITIVE BENCHMARKS INFLUENCING MARKET POTENTIAL)
 
 
 
 
 
 
13.1
OVERVIEW
 
 
 
 
 
13.2
KEY PLAYER STRATEGIES/RIGHT TO WIN (JANUARY 2021–DECEMBER 2025)
 
 
 
 
 
13.3
REVENUE ANALYSIS FOR KEY PLAYERS, 2020–2024
 
 
 
 
 
 
13.4
MARKET SHARE ANALYSIS,
 
 
 
 
 
 
13.5
PRODUCT COMPARISON
 
 
 
 
 
 
13.6
COMPANY EVALUATION MATRIX: KEY PLAYERS,
 
 
 
 
 
 
 
13.6.1
STARS
 
 
 
 
 
13.6.2
EMERGING LEADERS
 
 
 
 
 
13.6.3
PERVASIVE PLAYERS
 
 
 
 
 
13.6.4
PARTICIPANTS
 
 
 
 
 
13.6.5
COMPANY FOOTPRINT: KEY PLAYERS,
 
 
 
 
 
 
13.6.5.1
COMPANY FOOTPRINT
 
 
 
 
 
13.6.5.2
OFFERING FOOTPRINT
 
 
 
 
 
13.6.5.3
DATA MODALITY FOOTPRINT
 
 
 
 
 
13.6.5.4
APPLICATION FOOTPRINT
 
 
 
 
 
13.6.5.5
END-USER FOOTPRINT
 
 
 
13.7
COMPANY EVALUATION MATRIX: STARTUPS/SMES,
 
 
 
 
 
 
 
13.7.1
PROGRESSIVE COMPANIES
 
 
 
 
 
13.7.2
RESPONSIVE COMPANIES
 
 
 
 
 
13.7.3
DYNAMIC COMPANIES
 
 
 
 
 
13.7.4
STARTING BLOCKS
 
 
 
 
 
13.7.5
COMPETITIVE BENCHMARKING: STARTUPS/SMES,
 
 
 
 
 
 
13.7.5.1
DETAILED LIST OF KEY STARTUPS/SMES
 
 
 
 
 
13.7.5.2
COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
 
 
 
13.8
COMPANY VALUATION AND FINANCIAL METRICS
 
 
 
 
 
13.9
COMPETITIVE SCENARIO
 
 
 
 
 
 
13.9.1
PRODUCT LAUNCHES AND ENHANCEMENTS
 
 
 
 
 
13.9.2
DEALS
 
 
 
 
 
13.9.3
EXPANSIONS
 
 
 
14
COMPANY PROFILES
 
 
 
 
 
 
IN-DEPTH REVIEW OF COMPANIES, PRODUCTS, SERVICES, RECENT INITIATIVES, AND POSITIONING STRATEGIES IN EUROPE GENERATIVE AI MARKET
 
 
 
 
 
 
14.1
KEY PLAYERS
 
 
 
 
 
 
14.1.1
MICROSOFT
 
 
 
 
 
14.1.2
GOOGLE
 
 
 
 
 
14.1.3
ADOBE
 
 
 
 
 
14.1.4
IBM
 
 
 
 
 
14.1.5
META
 
 
 
 
 
14.1.6
NVIDIA
 
 
 
 
 
14.1.7
ACCENTURE
 
 
 
 
 
14.1.8
CAPGEMINI
 
 
 
 
 
14.1.9
SYNTHESIA
 
 
 
 
 
14.1.10
MISTRAL AI
 
 
 
 
 
14.1.11
STABILITY AI
 
 
 
 
 
14.1.12
DEEPSEARCH LABS
 
 
 
 
 
14.1.13
COLOSSYAN
 
 
 
 
 
14.1.14
INSTADEEP
 
 
 
 
 
14.1.15
LIGHTON
 
 
 
 
 
14.1.16
MOSTLY AI
 
 
 
 
 
14.1.17
SILO AI
 
 
 
 
 
14.1.18
FONTJOY
 
 
 
 
 
14.1.19
RECRAFT
 
 
 
 
 
14.1.20
OTERA (DEEPOPINION)
 
 
 
 
 
14.1.21
ZAMA AI
 
 
 
 
 
14.1.22
ALEPH ALPHA
 
 
 
 
 
14.1.23
BLACK FOREST LABS
 
 
 
 
 
14.1.24
DEEPL
 
 
 
 
 
14.1.25
TEXT CORTEX
 
 
 
15
RESEARCH METHODOLOGY
 
 
 
 
 
 
15.1
RESEARCH DATA
 
 
 
 
 
 
15.1.1
SECONDARY DATA
 
 
 
 
 
 
15.1.1.1
KEY DATA FROM SECONDARY SOURCES
 
 
 
 
 
15.1.1.2
LIST OF KEY SECONDARY SOURCES
 
 
 
 
15.1.2
PRIMARY DATA
 
 
 
 
 
 
15.1.2.1
KEY DATA FROM PRIMARY SOURCES
 
 
 
 
 
15.1.2.2
KEY PRIMARY PARTICIPANTS
 
 
 
 
 
15.1.2.3
BREAKUP OF PRIMARY INTERVIEWS
 
 
 
 
 
15.1.2.4
KEY INDUSTRY INSIGHTS
 
 
 
15.2
MARKET SIZE ESTIMATION
 
 
 
 
 
 
15.2.1
BOTTOM-UP APPROACH
 
 
 
 
 
15.2.2
TOP-DOWN APPROACH
 
 
 
 
 
15.2.3
MARKET-SIZE CALCULATION FOR BASE YEAR
 
 
 
 
15.3
MARKET FORECAST APPROACH
 
 
 
 
 
 
15.3.1
SUPPLY SIDE
 
 
 
 
 
15.3.2
DEMAND SIDE
 
 
 
 
15.4
DATA TRIANGULATION
 
 
 
 
 
15.5
FACTOR ANALYSIS
 
 
 
 
 
15.6
RESEARCH ASSUMPTIONS AND LIMITATIONS
 
 
 
 
 
15.7
RISK ASSESSMENT
 
 
 
 
16
APPENDIX
 
 
 
 
 
 
16.1
DISCUSSION GUIDE
 
 
 
 
 
16.2
KNOWLEDGESTORE: MARKETANDMARKETS’ SUBSCRIPTION PORTAL
 
 
 
 
 
16.3
AVAILABLE CUSTOMIZATIONS
 
 
 
 
 
16.4
RELATED REPORTS
 
 
 
 
 
16.5
AUTHOR DETAILS
 
 
 
 

Methodology

TABLE OF CONTENTS

METHODOLOGY

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Growth opportunities and latent adjacency in Europe Generative AI Market

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