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Europe AI Code Tools Market Size, Share & Industry Trends Analysis Report By Offering, By Technology (Machine Learning, Natural Language Processing, and Generative AI), By Application, By Vertical, By Country and Growth Forecast, 2023 - 2030

  • PDF Icon

    Report

  • 174 Pages
  • November 2023
  • Region: Europe
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5916711
The Europe AI Code Tools Market would witness market growth of 21.8% CAGR during the forecast period (2023-2030).

Generative adversarial networks (GANs) are being used to generate synthetic code that can mimic the style and functionality of existing codebases, allowing for creative and adaptive software development. AI is being integrated into DevOps pipelines to automate release management, infrastructure scaling, and continuous integration/continuous deployment (CI/CD) processes. AI tools can generate comprehensive code documentation, reducing the burden on developers to maintain extensive documentation manually. AI optimizes software performance by automatically tuning parameters and configurations based on usage data. AI tools assist project management by providing predictive analytics for agile development, helping teams make data-driven decisions.

Integrated development environments (IDEs) incorporate AI features to assist developers with code suggestions, error detection, and automated code completion, improving coding speed and accuracy. AI code tools automatically generate code snippets, making coding faster and less error prone. Auto-completion features suggest code segments as developers’ type, improving coding efficiency. Code translation tools convert code between programming languages, making it easier to adapt and reuse existing code. AI code tools assist in the creation and optimization of complex algorithms, particularly in fields like machine learning and data analysis.

As per the International Trade Administration (ITA), the e-commerce sector in Germany is among the biggest in Europe. The online population in Germany is projected to increase from 62.4 million in 2020 to 68.4 million in 2025. In the German region, e-commerce penetration reached 77% in 2021. E-commerce users in Germany increasingly demand personalized shopping experiences. AI-powered chatbots and virtual assistants are widely used in German e-commerce for efficient customer support. The factors mentioned above will drive the regional market growth.

The Germany market dominated the Europe AI Code Tools Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $1,132.5 million by 2030. The UK market is exhibiting a CAGR of 20.8% during (2023 - 2030). Additionally, The France market would experience a CAGR of 22.7% during (2023 - 2030).

Based on Offering, the market is segmented into Tools (Cloud, On premise), and Services. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, and Generative AI. Based on Application, the market is segmented into Data Science & Machine Learning, Cloud Services & DevOps, Web Development, Mobile App Development, Gaming Development, Embedded Systems, and Others. Based on Vertical, the market is segmented into BFSI, Government & Public Sector, Energy & Utilities, Healthcare & Lifesciences, Media & Entertainment, Manufacturing, Retail & eCommerce, IT & Telecom, Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Google LLC (Alphabet, Inc.), Amazon Web Services, Inc. (Amazon.com, Inc.), Salesforce, Inc., Meta Platforms, Inc., OpenAI, L.L.C., Datadog, Inc., Tabnine Inc., and CodiumAI.

Scope of the Study

Market Segments Covered in the Report:

By Offering
  • Tools
  • Cloud
  • On premise
  • Services
By Technology
  • Machine Learning
  • Natural Language Processing
  • Generative AI
By Application
  • Data Science & Machine Learning
  • Cloud Services & DevOps
  • Web Development
  • Mobile App Development
  • Gaming Development
  • Embedded Systems
  • Others
By Vertical
  • BFSI
  • Government & Public Sector
  • Energy & Utilities
  • Healthcare & Lifesciences
  • Media & Entertainment
  • Manufacturing
  • Retail & eCommerce
  • IT & Telecom
  • Others
By Country
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe

Key Market Players

List of Companies Profiled in the Report:

  • IBM Corporation
  • Microsoft Corporation
  • Google LLC (Alphabet, Inc.)
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Salesforce, Inc.
  • Meta Platforms, Inc.
  • OpenAI, L.L.C.
  • Datadog, Inc.
  • Tabnine Inc.
  • CodiumAI

Unique Offerings

  • Exhaustive coverage
  • The highest number of Market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Europe AI Code Tools Market, by Offering
1.4.2 Europe AI Code Tools Market, by Technology
1.4.3 Europe AI Code Tools Market, by Application
1.4.4 Europe AI Code Tools Market, by Vertical
1.4.5 Europe AI Code Tools Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
Chapter 4. Competition Analysis - Global
4.1 Cardinal Matrix
4.1.1 Partnerships, Collaborations and Agreements
4.1.2 Product Launches and Product Expansions
4.1.3 Acquisition and Mergers
4.2 Market Share Analysis, 2022
4.3 Top Winning Strategies
4.3.1 Key Leading Strategies: Percentage Distribution (2019-2023)
4.3.2 Key Strategic Move: (Product Launches and Product Expansions: 2022, Jun - 2023, Aug) Leading Players
4.4 Porter’s Five Forces Analysis
Chapter 5. Europe AI Code Tools Market by Offering
5.1 Europe Tools Market by Country
5.2 Europe AI Code Tools Market by Tools Deployment Type
5.2.1 Europe Cloud Market by Country
5.2.2 Europe On premise Market by Country
5.3 Europe Services Market by Country
Chapter 6. Europe AI Code Tools Market by Technology
6.1 Europe Machine Learning Market by Country
6.2 Europe Natural Language Processing Market by Country
6.3 Europe Generative AI Market by Country
Chapter 7. Europe AI Code Tools Market by Application
7.1 Europe Data Science & Machine Learning Market by Country
7.2 Europe Cloud Services & DevOps Market by Country
7.3 Europe Web Development Market by Country
7.4 Europe Mobile App Development Market by Country
7.5 Europe Gaming Development Market by Country
7.6 Europe Embedded Systems Market by Country
7.7 Europe Others Market by Country
Chapter 8. Europe AI Code Tools Market by Vertical
8.1 Europe BFSI Market by Country
8.2 Europe Government & Public Sector Market by Country
8.3 Europe Energy & Utilities Market by Country
8.4 Europe Healthcare & Lifesciences Market by Country
8.5 Europe Media & Entertainment Market by Country
8.6 Europe Manufacturing Market by Country
8.7 Europe Retail & eCommerce Market by Country
8.8 Europe IT & Telecom Market by Country
8.9 Europe Others Market by Country
Chapter 9. Europe AI Code Tools Market by Country
9.1 Germany AI Code Tools Market
9.1.1 Germany AI Code Tools Market by Offering
9.1.1.1 Germany AI Code Tools Market by Tools Deployment Type
9.1.2 Germany AI Code Tools Market by Technology
9.1.3 Germany AI Code Tools Market by Application
9.1.4 Germany AI Code Tools Market by Vertical
9.2 UK AI Code Tools Market
9.2.1 UK AI Code Tools Market by Offering
9.2.1.1 UK AI Code Tools Market by Tools Deployment Type
9.2.2 UK AI Code Tools Market by Technology
9.2.3 UK AI Code Tools Market by Application
9.2.4 UK AI Code Tools Market by Vertical
9.3 France AI Code Tools Market
9.3.1 France AI Code Tools Market by Offering
9.3.1.1 France AI Code Tools Market by Tools Deployment Type
9.3.2 France AI Code Tools Market by Technology
9.3.3 France AI Code Tools Market by Application
9.3.4 France AI Code Tools Market by Vertical
9.4 Russia AI Code Tools Market
9.4.1 Russia AI Code Tools Market by Offering
9.4.1.1 Russia AI Code Tools Market by Tools Deployment Type
9.4.2 Russia AI Code Tools Market by Technology
9.4.3 Russia AI Code Tools Market by Application
9.4.4 Russia AI Code Tools Market by Vertical
9.5 Spain AI Code Tools Market
9.5.1 Spain AI Code Tools Market by Offering
9.5.1.1 Spain AI Code Tools Market by Tools Deployment Type
9.5.2 Spain AI Code Tools Market by Technology
9.5.3 Spain AI Code Tools Market by Application
9.5.4 Spain AI Code Tools Market by Vertical
9.6 Italy AI Code Tools Market
9.6.1 Italy AI Code Tools Market by Offering
9.6.1.1 Italy AI Code Tools Market by Tools Deployment Type
9.6.2 Italy AI Code Tools Market by Technology
9.6.3 Italy AI Code Tools Market by Application
9.6.4 Italy AI Code Tools Market by Vertical
9.7 Rest of Europe AI Code Tools Market
9.7.1 Rest of Europe AI Code Tools Market by Offering
9.7.1.1 Rest of Europe AI Code Tools Market by Tools Deployment Type
9.7.2 Rest of Europe AI Code Tools Market by Technology
9.7.3 Rest of Europe AI Code Tools Market by Application
9.7.4 Rest of Europe AI Code Tools Market by Vertical
Chapter 10. Company Profiles
10.1 IBM Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Research & Development Expenses
10.1.5 Recent strategies and developments:
10.1.5.1 Partnerships, Collaborations, and Agreements:
10.1.5.2 Product Launches and Product Expansions:
10.1.6 SWOT Analysis
10.2 Microsoft Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expenses
10.2.5 Recent strategies and developments:
10.2.5.1 Partnerships, Collaborations, and Agreements:
10.2.5.2 Acquisition and Mergers:
10.2.6 SWOT Analysis
10.3 Salesforce, Inc.
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Regional Analysis
10.3.4 Research & Development Expense
10.3.5 Recent strategies and developments:
10.3.5.1 Partnerships, Collaborations, and Agreements:
10.3.6 SWOT Analysis
10.4 Google LLC (Alphabet Inc.)
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental and Regional Analysis
10.4.4 Research & Development Expense
10.4.5 Recent strategies and developments:
10.4.5.1 Partnerships, Collaborations, and Agreements:
10.4.5.2 Product Launches and Product Expansions:
10.4.6 SWOT Analysis
10.5 Amazon Web Services, Inc. (Amazon.com, Inc.)
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental Analysis
10.5.4 Recent strategies and developments:
10.5.4.1 Product Launches and Product Expansions:
10.5.5 SWOT Analysis
10.6 Meta Platforms, Inc. (Meta)
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segment and Regional Analysis
10.6.4 Research & Development Expense
10.6.5 Recent strategies and developments:
10.6.5.1 Product Launches and Product Expansions:
10.6.6 SWOT Analysis
10.7 OpenAI, L.L.C.
10.7.1 Company Overview
10.7.2 SWOT Analysis
10.8 Tabnine Inc.
10.8.1 Company Overview
10.8.2 Recent strategies and developments:
10.8.2.1 Partnerships, Collaborations, and Agreements:
10.8.2.2 Product Launches and Product Expansions:
10.8.3 SWOT Analysis
10.9 Datadog, Inc.
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Research & Development Expenses
10.9.4 Recent strategies and developments:
10.9.4.1 Acquisition and Mergers:
10.9.5 SWOT Analysis:
10.10. CodiumAI
10.10.1 Company Overview
10.10.2 Recent strategies and developments:
10.10.2.1 Product Launches and Product Expansions:
10.10.3 SWOT Analysis

Companies Mentioned

  • IBM Corporation
  • Microsoft Corporation
  • Google LLC (Alphabet, Inc.)
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Salesforce, Inc.
  • Meta Platforms, Inc.
  • OpenAI, L.L.C.
  • Datadog, Inc.
  • Tabnine Inc.
  • CodiumAI

Methodology

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