The global Large Language Model Operationalization (LLMOps) Software market was valued at US$ 4350 million in 2023 and is anticipated to reach US$ 13950 million by 2030, witnessing a CAGR of 21.3% during the forecast period 2024-2030.
Large Language Model Operationalization (LLMOps) software refers to a set of tools and frameworks designed to streamline and manage the deployment, monitoring, maintenance, and scaling of large language models (LLMs) in production environments. As organizations increasingly adopt LLMs for various applications鈥攕uch as chatbots, content generation, and language translation鈥攖he need for efficient operational practices becomes critical.
North American market for Large Language Model Operationalization (LLMOps) Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Large Language Model Operationalization (LLMOps) Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Large Language Model Operationalization (LLMOps) Software in Large Enterprises is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Large Language Model Operationalization (LLMOps) Software include Kong, Aporia, TrueFoundry, Dataiku, Botpress, Carbon, Tune AI, Clarifai, NVIDIA, Dify.AI, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Large Language Model Operationalization (LLMOps) Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Large Language Model Operationalization (LLMOps) Software.
The Large Language Model Operationalization (LLMOps) Software market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Large Language Model Operationalization (LLMOps) Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Large Language Model Operationalization (LLMOps) Software companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Kong
Aporia
TrueFoundry
Dataiku
Botpress
Carbon
Tune AI
Clarifai
NVIDIA
Dify.AI
Dynamiq
Prompt Privacy
Autoblocks
BentoML
CalypsoAI
elvex
illumex
Lakera Guard
OctoML
Portkey
Segment by Type
Cloud Based
On Premise
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Large Language Model Operationalization (LLMOps) Software company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Large Language Model Operationalization (LLMOps) Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud Based
1.2.3 On Premise
1.3 Market by Application
1.3.1 Global Large Language Model Operationalization (LLMOps) Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Large Language Model Operationalization (LLMOps) Software Market Perspective (2019-2030)
2.2 Global Large Language Model Operationalization (LLMOps) Software Growth Trends by Region
2.2.1 Global Large Language Model Operationalization (LLMOps) Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Large Language Model Operationalization (LLMOps) Software Historic Market Size by Region (2019-2024)
2.2.3 Large Language Model Operationalization (LLMOps) Software Forecasted Market Size by Region (2025-2030)
2.3 Large Language Model Operationalization (LLMOps) Software Market Dynamics
2.3.1 Large Language Model Operationalization (LLMOps) Software Industry Trends
2.3.2 Large Language Model Operationalization (LLMOps) Software Market Drivers
2.3.3 Large Language Model Operationalization (LLMOps) Software Market Challenges
2.3.4 Large Language Model Operationalization (LLMOps) Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Large Language Model Operationalization (LLMOps) Software Players by Revenue
3.1.1 Global Top Large Language Model Operationalization (LLMOps) Software Players by Revenue (2019-2024)
3.1.2 Global Large Language Model Operationalization (LLMOps) Software Revenue Market Share by Players (2019-2024)
3.2 Global Large Language Model Operationalization (LLMOps) Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Large Language Model Operationalization (LLMOps) Software Revenue
3.4 Global Large Language Model Operationalization (LLMOps) Software Market Concentration Ratio
3.4.1 Global Large Language Model Operationalization (LLMOps) Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Large Language Model Operationalization (LLMOps) Software Revenue in 2023
3.5 Global Key Players of Large Language Model Operationalization (LLMOps) Software Head office and Area Served
3.6 Global Key Players of Large Language Model Operationalization (LLMOps) Software, Product and Application
3.7 Global Key Players of Large Language Model Operationalization (LLMOps) Software, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Large Language Model Operationalization (LLMOps) Software Breakdown Data by Type
4.1 Global Large Language Model Operationalization (LLMOps) Software Historic Market Size by Type (2019-2024)
4.2 Global Large Language Model Operationalization (LLMOps) Software Forecasted Market Size by Type (2025-2030)
5 Large Language Model Operationalization (LLMOps) Software Breakdown Data by Application
5.1 Global Large Language Model Operationalization (LLMOps) Software Historic Market Size by Application (2019-2024)
5.2 Global Large Language Model Operationalization (LLMOps) Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Large Language Model Operationalization (LLMOps) Software Market Size (2019-2030)
6.2 North America Large Language Model Operationalization (LLMOps) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Large Language Model Operationalization (LLMOps) Software Market Size by Country (2019-2024)
6.4 North America Large Language Model Operationalization (LLMOps) Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Large Language Model Operationalization (LLMOps) Software Market Size (2019-2030)
7.2 Europe Large Language Model Operationalization (LLMOps) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Large Language Model Operationalization (LLMOps) Software Market Size by Country (2019-2024)
7.4 Europe Large Language Model Operationalization (LLMOps) Software Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Large Language Model Operationalization (LLMOps) Software Market Size (2019-2030)
8.2 Asia-Pacific Large Language Model Operationalization (LLMOps) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Large Language Model Operationalization (LLMOps) Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Large Language Model Operationalization (LLMOps) Software Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Large Language Model Operationalization (LLMOps) Software Market Size (2019-2030)
9.2 Latin America Large Language Model Operationalization (LLMOps) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Large Language Model Operationalization (LLMOps) Software Market Size by Country (2019-2024)
9.4 Latin America Large Language Model Operationalization (LLMOps) Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Large Language Model Operationalization (LLMOps) Software Market Size (2019-2030)
10.2 Middle East & Africa Large Language Model Operationalization (LLMOps) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Large Language Model Operationalization (LLMOps) Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Large Language Model Operationalization (LLMOps) Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Kong
11.1.1 Kong Company Details
11.1.2 Kong Business Overview
11.1.3 Kong Large Language Model Operationalization (LLMOps) Software Introduction
11.1.4 Kong Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.1.5 Kong Recent Development
11.2 Aporia
11.2.1 Aporia Company Details
11.2.2 Aporia Business Overview
11.2.3 Aporia Large Language Model Operationalization (LLMOps) Software Introduction
11.2.4 Aporia Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.2.5 Aporia Recent Development
11.3 TrueFoundry
11.3.1 TrueFoundry Company Details
11.3.2 TrueFoundry Business Overview
11.3.3 TrueFoundry Large Language Model Operationalization (LLMOps) Software Introduction
11.3.4 TrueFoundry Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.3.5 TrueFoundry Recent Development
11.4 Dataiku
11.4.1 Dataiku Company Details
11.4.2 Dataiku Business Overview
11.4.3 Dataiku Large Language Model Operationalization (LLMOps) Software Introduction
11.4.4 Dataiku Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.4.5 Dataiku Recent Development
11.5 Botpress
11.5.1 Botpress Company Details
11.5.2 Botpress Business Overview
11.5.3 Botpress Large Language Model Operationalization (LLMOps) Software Introduction
11.5.4 Botpress Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.5.5 Botpress Recent Development
11.6 Carbon
11.6.1 Carbon Company Details
11.6.2 Carbon Business Overview
11.6.3 Carbon Large Language Model Operationalization (LLMOps) Software Introduction
11.6.4 Carbon Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.6.5 Carbon Recent Development
11.7 Tune AI
11.7.1 Tune AI Company Details
11.7.2 Tune AI Business Overview
11.7.3 Tune AI Large Language Model Operationalization (LLMOps) Software Introduction
11.7.4 Tune AI Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.7.5 Tune AI Recent Development
11.8 Clarifai
11.8.1 Clarifai Company Details
11.8.2 Clarifai Business Overview
11.8.3 Clarifai Large Language Model Operationalization (LLMOps) Software Introduction
11.8.4 Clarifai Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.8.5 Clarifai Recent Development
11.9 NVIDIA
11.9.1 NVIDIA Company Details
11.9.2 NVIDIA Business Overview
11.9.3 NVIDIA Large Language Model Operationalization (LLMOps) Software Introduction
11.9.4 NVIDIA Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.9.5 NVIDIA Recent Development
11.10 Dify.AI
11.10.1 Dify.AI Company Details
11.10.2 Dify.AI Business Overview
11.10.3 Dify.AI Large Language Model Operationalization (LLMOps) Software Introduction
11.10.4 Dify.AI Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.10.5 Dify.AI Recent Development
11.11 Dynamiq
11.11.1 Dynamiq Company Details
11.11.2 Dynamiq Business Overview
11.11.3 Dynamiq Large Language Model Operationalization (LLMOps) Software Introduction
11.11.4 Dynamiq Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.11.5 Dynamiq Recent Development
11.12 Prompt Privacy
11.12.1 Prompt Privacy Company Details
11.12.2 Prompt Privacy Business Overview
11.12.3 Prompt Privacy Large Language Model Operationalization (LLMOps) Software Introduction
11.12.4 Prompt Privacy Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.12.5 Prompt Privacy Recent Development
11.13 Autoblocks
11.13.1 Autoblocks Company Details
11.13.2 Autoblocks Business Overview
11.13.3 Autoblocks Large Language Model Operationalization (LLMOps) Software Introduction
11.13.4 Autoblocks Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.13.5 Autoblocks Recent Development
11.14 BentoML
11.14.1 BentoML Company Details
11.14.2 BentoML Business Overview
11.14.3 BentoML Large Language Model Operationalization (LLMOps) Software Introduction
11.14.4 BentoML Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.14.5 BentoML Recent Development
11.15 CalypsoAI
11.15.1 CalypsoAI Company Details
11.15.2 CalypsoAI Business Overview
11.15.3 CalypsoAI Large Language Model Operationalization (LLMOps) Software Introduction
11.15.4 CalypsoAI Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.15.5 CalypsoAI Recent Development
11.16 elvex
11.16.1 elvex Company Details
11.16.2 elvex Business Overview
11.16.3 elvex Large Language Model Operationalization (LLMOps) Software Introduction
11.16.4 elvex Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.16.5 elvex Recent Development
11.17 illumex
11.17.1 illumex Company Details
11.17.2 illumex Business Overview
11.17.3 illumex Large Language Model Operationalization (LLMOps) Software Introduction
11.17.4 illumex Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.17.5 illumex Recent Development
11.18 Lakera Guard
11.18.1 Lakera Guard Company Details
11.18.2 Lakera Guard Business Overview
11.18.3 Lakera Guard Large Language Model Operationalization (LLMOps) Software Introduction
11.18.4 Lakera Guard Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.18.5 Lakera Guard Recent Development
11.19 OctoML
11.19.1 OctoML Company Details
11.19.2 OctoML Business Overview
11.19.3 OctoML Large Language Model Operationalization (LLMOps) Software Introduction
11.19.4 OctoML Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.19.5 OctoML Recent Development
11.20 Portkey
11.20.1 Portkey Company Details
11.20.2 Portkey Business Overview
11.20.3 Portkey Large Language Model Operationalization (LLMOps) Software Introduction
11.20.4 Portkey Revenue in Large Language Model Operationalization (LLMOps) Software Business (2019-2024)
11.20.5 Portkey Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
Kong
Aporia
TrueFoundry
Dataiku
Botpress
Carbon
Tune AI
Clarifai
NVIDIA
Dify.AI
Dynamiq
Prompt Privacy
Autoblocks
BentoML
CalypsoAI
elvex
illumex
Lakera Guard
OctoML
Portkey
听
听
*If Applicable.
